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The purpose of this paper is to apply negative thermal coefficient (NTC) thick film segmented thermistors (TFSTs) in a micro‐flow sensor for water.

A TFST is printed using NTC paste based on nickel manganite. The resistance of this thermistor is measured in a climatic chamber and the resulting curves are calibrated. A micro‐flow sensor is designed using a self‐heated segmented thermistor. The sensing principle is based on heat loss depending on the water flow intensity through the capillary. Water flow calibration is performed. The sensor sensitivity, inertia, and stability are analyzed.

The micro‐flow sensor exhibits good stability, suitable sensitivity, and inertia for integral measurements of water flow.

Advantages of a micro‐flow sensor using a TFST include low energy consumption, simple measuring procedure, and passive electronics.

This paper describes initial work on a micro‐flow sensor for water using TFSTs.

This chapter introduces the topic of mental health and wellbeing in schools and the overarching theoretical framework for the book. The evolving role of schools from nurturing environments to frontline support for pupils’ mental health and wellbeing is scrutinised in the context of demand, capacity and constraints in a post-pandemic world. Alongside this is a critical consideration of schools’ and education staff’s role, responsibilities and boundaries. The disparate mental health needs of pupils within the school population are discussed, as well as key risk and protective factors to help facilitate timely identification and appropriate support pathways for vulnerable pupils. Key topics and case studies which comprise the remainder of the book are introduced to navigate the reader, and this concludes the chapter.

The purpose of this paper is to describe research, the objective of which was the development of models, methodologies, and tools for the realization of the multimedia platform for emergency management in technological systems.

This objective was achieved through the operationalization of the following major tasks: the theoretical research on the specific characteristics of emergency management system structure and processes; definition of educational structures, processes, and subjects for emergency management; development of models and software tools for the analysis of emergency development; development of information (web) services to support the collaborative decision making.

A model of multimedia platform for emergency management in technological systems has been developed, which defines emergency services with appropriate information infrastructure, the structure and characteristics of the interoperability system and their mutual communication.

Further research should result in: the concrete structure and processes of virtual organisation for emergency management in technological systems; software for the support of collaborative decision making; models for emergency management education and training based on multimedia technologies. The limitations are primarily related to model implementation, since there are no suitable emergency databases.

The platform can be used by: industrial companies, companies that provide building maintenance, public services, insurance companies, educational institutions, local authorities (by an adequate upgrade of models and software).

This paper presents the information flow identified in emergency management and the structure of a multimedia platform which, by creating favourable environment for collaborative decision making, enables effective and efficient emergency management in technological systems, as well as emergency management education and training.

This paper uses a cognitive analytics management approach to analyze, understand and solve the problems facing the implementation of information systems and help management do the needed changes to enhance such a critical process; the emergency management system in the health industry is analyzed as a case study.

Cognitive analytics management (CAM) framework (Osman and Anouz, 2014) is used. Cognitive process: The right questions are asked to understand the behavior of every process and the flow of its corresponding data; critical data variables were identified, guidelines for identifying data sources were set. Analytics process: Techniques of data analytics were applied to the selected data sets, problems were identified in user–system interaction and in the system design. The analysis process helped the management in the management process to make right decisions for the right change.

Using the CAM framework, the analysis to the Lebanese Red Cross case study identified system user-behavior problems and also system design problems. It identified cases where distributed subsystems are vulnerable to time keeping errors and helped the management make knowledgeable decisions to overcome major obstacles by implementing several changes related to hardware design, software implementation, human resource training, operational and human-technology changes. CAM is a novel and feasible software engineering approach for handling system failures.

The paper uses CAM framework as an approach to overcome system failures and help management do the needed changes to enhance such a critical process. This work contributes to the software engineering literature by introducing CAM as a new agile methodology to be used when dealing with system failures. Furthermore, this study is an action research that validated the CAM theoretical framework in a health emergency context in Lebanon.

Job satisfaction is indispensable in the daily life of the workforce, and the mechanism that drives job satisfaction requires the attention of the management of corporate organisations. The purpose of this paper is to investigate the predictors of work environment on job satisfaction among nurses in both federal and state tertiary hospitals in Lagos State.

The study used the longitudinal research design to elicit information from the respondents. The research instrument used is a nursing work index scale by Aiken and Patrician which has been established to have a high internal reliability coefficient. The simple random sampling strategy was used to administer the research instrument to 364 nurses. The study used hierarchical multiple regression to analyse the data obtained.

This study discovered that all the variables collectively determined nurses job satisfaction; however, the salary was the most fundamental essential predictor that drive nurses’ job satisfaction followed by advancement and promotion. All seven predictors, namely, socio-political climate; administrative and managerial support, autonomy and responsibility, salary, supervision and working condition, recognition and achievement, advancement and promotion, collectively exert positive relationship with nurses’ job satisfaction. The study concluded that to retain and prevent turnover intention among nurses, and other health-care workers, the management of hospitals must pay due attention to issues relating to job satisfaction, as this is likely to increase health-care system effectiveness, boost mental and social health of the nurses.

This study shows that job satisfaction in the workplace comes from diverse techniques, as other factors have been proven effective other than salary in international cultures and regions, but in Nigeria, salary and career promotion take pre-eminence above other factors. This is because of Nigerian socio-cultural realities and that is another paradigm shift.

The paper aims to focus on thick film planar thermistors.

Thick film planar thermistors such as rectangular, sandwich, multilayer, segmented and interdigitated were printed of law temperature NTC paste called NTC 3K3 95/2 (Ei Iritel). Their resistivity was measured at room temperature as a function of volume resistivity variations due to electrode effect (diffusion of PdAg into NTC layer) and variation of geometrical parameters such as length l, width w, thickness d, number of segments n. The experimental data obtained were used in forming a model by the simple fitting procedure for counting diffusion effect on volume resistivity and resistivity dependence on geometrical parameters.

Thermal behavior of NTC thick films was measured in the range of −30‐120°C. Exponential factor B was fitted for measured values and included in the proposed thick film thermistors model. The agreement of measured and calculated data enables simulation of new thermistor geometries.

The paper focuses on the experiment which was the first step in forming a total physical/mathematical model proposed for thick film thermistor resistivity.

The purpose of this paper is to propose a fast, accurate and efficient algorithm for assessment of transient behavior of grounding grids buried in horizontal multilayered earth model considering soil ionization effect.

The purpose of this paper is to develop a numerical simulation method to calculate the lightning impulse response of the grounding grid buried in a horizontal multilayered earth model. The mathematical model about the hybrid method based on PI basic function belonging to time domain is proposed in the paper; the mode can precisely calculate the lightning current distribution and lightning impulse response to grounding grids buried in horizontal multilayered soil model considering soil ionization effect. To increase computing efficiency, quasi-static complex image method (QSCIM) and its time-domain Green’s function closed form are introduced in the model.

The hybrid model is rather stable, with the respect to the number of elements used and with excellent convergence rate. In addition, because this mathematical model belongs to the time domain algorithm, it is very powerful for the simulation of soil ionization caused by high amplitude lightning current.

To increase computing efficiency, QSCIM and its time domain Green's function closed form are introduced in the model.

The mathematical model about the hybrid method based on PI basic function can precisely calculate the lightning current distribution and lightning impulse response to grounding grids buried in horizontal multilayered soil model considering the soil ionization effect.

Considering the soil ionization effect, the simulation calculation of lightning impulse response of substation grounding grid buried in the actual horizontal multilayered earth can effectively support the scientific and efficient design of lightning protection performance of substation grounding grid.

The hybrid model in time domain is originally developed by the authors and used to precisely calculate the lightning current distribution and lightning impulse response to grounding grids buried in horizontal multilayered soil model considering soil ionization effect. It is simple and very efficient and can easily be extended to arbitrary grounding configurations.

The purpose of this paper is to determine if the agribusiness sector can be an initiator of export on the emerging markets. For this aim, we analyzed export opportunities for the region of Vojvodina, the region in Serbia with the most potential for agribusiness.

This paper uses the Comparative Advantage Index and the Index of Intra-industrial Integration to determine the region's level of comparative advantage and the market's level of integration on the main emerging markets.

The results show that this region has the most competitive advantages in crop production – primarily in cereals and industrial plants – but the situation is not favorable for livestock production. Because of this, comparative advantage should be used as a factor for the growth of competitiveness in the sectors for which crop products are the raw material base. At the same time, agricultural policy measures should encourage more intensive agricultural production, which could create a better foundation for progress in the food industry.

Data collected on foreign trade at the level of statistical regions is not always reliable. Also, regional and local characteristics are specific to each country, so the ability to generalize conclusions is limited.

This paper provides a useful review of the agri-food sector's competitiveness and determines which agri-food segments have competitive advantages. It is essential for policymakers to identify what determinants improve or degrade the competitiveness of the region's agri-food sector.

Since there are a limited number of studies analyzing trends of competitiveness for the region's agri-food sector, the paper will contribute to filling this gap. Furthermore, the framework is conceptually innovative in identifying the determinants that create export opportunities for the region on the international market.

The purpose of this paper is to identify potential helicopter pilots’ errors during their interaction with the flight deck in the process of starting a helicopter in night-time conditions.

Systematic Human Error Reduction and Prediction Approach is used for the analysis of the pilot–flight deck interaction. This methodology was used for the identification of errors for 30 pilots during a period of 10 years. In total, 55 errors were identified, and most common errors noted are: error of omission, caused by pilots’ lack of attention or longer periods of no flying, and error of wrong execution, caused by misunderstanding a situation.

Hierarchical task analysis and classification of pilot’s tasks were used for the analysis of consequences, probability of occurrence, criticality and remedial strategies for the identified pilot error.

This paper does not give an ergonomic analysis of the flight deck, as that is not its subject. However, results of the research presented in this paper, together with results presented in references, clearly show that there are disadvantages in the ergonomic design of flight decks.

Based on the identified pilot errors and with respect of existing ergonomic solution, it is possible to begin with the reconstruction of flight decks.

Higher quality of pilot–flight deck interaction must be ensured for both pilots’ and passengers’ safety, as even a slightest error can lead to catastrophic consequences.

The value of this paper lies in the fact that it points to the need for synergy of ergonomic design and human reliability methods.

This paper aims to study the physical and chemical characteristics of inkjet titanium dioxide inks for cotton fabric digital printing.

Different dispersing agents through the reaction of glycerol monooleate and toluene diisocyanate were prepared and then performed by using three different polyols (succinic anhydride-modified polyethylene glycol PEG 600, EO/PO Polyether Monoamine and p-chloro aniline Polyether Monoamine), to obtain three different dispersing agents for water-based titanium dioxide inkjet inks. The prepared dispersants were characterized using FTIR to monitor the reaction progress. Then the prepared dispersants were formulated in titanium dioxide inkjet inks formulation and characterized by particle size, dynamic surface tension, transmission electron microscopy, viscosity and zeta potential against commercial dispersants. Also, the study was extended to evaluate the printed polyester by using the prepared inks according to washing and crock fastness.

The obtained results showed that p-chloro aniline Polyether Monoamine (J) and succinic anhydride modified polyethylene glycol PEG 600 (H) dispersants provided optimum performance as compared to commercial standards especially, particle size distribution data while EO/PO Polyether Monoamine based on dispersant was against and then failed with the wettability and dispersion stability tests.

These ink formulations could be used for printing on cotton fabric by DTG technique of printing and can be used for other types of fabrics.

The newly prepared ink formulation for digital textile printing based on synthesized polyurethane prepolymers has the potential to be promising in this type of printing inks, to prevent clogging of nozzles on the printhead and to improve the print quality on the textile fiber.