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Trust has been identified as key to students’ academic improvement. The purpose of this paper is to identify the conditions that build trust in teachers, both towards their colleagues and school leaders, and to explore the emotions triggered among these participants. This study uses the critical incident technique to conduct interviews with 34 teachers from the Valparaíso Region (Chile). Results show that incidents are easily remembered when a subordinate relationship is involved. Many critical incidents are related to situations in which teachers are particularly vulnerable. Hence, teachers value the treatment received and support provided. The arrival of new teachers to a school is crucial when building bonds of trust. Benevolence is the facet that stands out the most in incidents reported by teachers and school leaders, while satisfaction is the most recurrent emotion. In the case of school leaders, benevolence is closely followed by competence. In the case of teachers, benevolence is followed by honesty, openness and competence. In this case, the associated emotion is affection.

Paramedics are responsible for managing emergencies, caring for patients and performing life-saving procedures under heavy workloads, which can have a significant negative effect on their emotional eating and food addiction (FA) behaviors. Thus, this cross-sectional study aims to shed light on the relationship between emotional eating tendencies and FA in paramedics by considering their food preferences, sex, and body mass index (BMI) factors.

The questionnaire consisted of Yale Food Addiction Scale and Emotional Eating Questionnaire (EEQ), as well as sex, age, weight, height and number of snacks and main meals collected face-to-face from the 196 paramedics.

The FA prevalence was 14.9%, and more than half of the paramedics were emotional eaters. The total score of the EEQ was significantly higher in the FA diagnosed group than in the group FA not diagnosed (p < 0.001). The food preferences of the paramedics were found to differ significantly depending on whether they were diagnosed with FA or emotional eating. Being a food addict or emotional eater significantly increases the odds of consuming chocolate-wafer, pie-cake, chips, pastries, pasta and fries (p < 0.05), and participants with FA diagnosis and emotional eaters were more likely to prefer these foods than those with nondiagnosis and nonemotional eaters (p < 0.05).

Findings highlighted the connection between FA and the emotional eating behavior of paramedics, indicating that they attempt to compensate for their emotional ups and downs through eating. The job-related stress and emotional eating behaviors of paramedics may increase their BMI and susceptibility to FA.

The centrifugal instability mechanism of boundary layers over concave surfaces is responsible for the development of quasi-periodic, counter-rotating vortices aligned in a streamwise direction known as Görtler vortices. By distorting the boundary layer structure in both the spanwise and the wall-normal directions, Görtler vortices may modify heat transfer rates. The purpose of this study is to conduct spatial numerical simulation experiments based on a vorticity–velocity formulation of the incompressible Navier–Stokes system of equations to quantify the role of the transition in the heat transfer process.

Experiments are conducted using an in-house, parallel, message-passing code. Compact finite difference approximations and a spectral method are used to approximate spatial derivatives. A fourth-order Runge–Kutta method is adopted for time integration. The Poisson equation is solved using a geometric multigrid method.

Results show that the numerical method can capture the physics of transitional flows over concave geometries. They also show that the heat transfer rates in the late stages of the transition may be greater than those for either laminar or turbulent ones.

The numerical method can be considered as a robust alternative to investigate heat transfer properties in transitional boundary layer flows over concave surfaces.

This study aims to improve the tribological performance of Babbitt alloy under oil lubricant condition. Thus, the surface was treated into oleophobic state by modifying with low surface energy fluorosilane (1H,1H,2H,2H-perfluorodecyltriethoxysilane). It is believed that the oleophobic surface offered excellent wear resistance of Babbitt-based tribo-pairs.

By modifying the Babbitt alloy with low surface energy fluorosilane and measuring the oil contact angle, the wetting behavior was evaluated. Using Pin on Disk tribometer, the tribological properties of bare Babbitt and modified Babbitt were quantified. The samples after the friction test were characterized by scanning electron microscope (SEM) and the anti-wear performance was evaluated under dry and oil lubrication conditions.

Results showed that oil contact angle of modified Babbitt was109° which was tripled compared to that of prime surface, which indicates the oleophobic behavior was greatly improved. Under dry conditions, the friction coefficient of the modified surface with different load conditions is slightly lower than that of the bare surface, while the friction coefficient of the modified surface under lubrication conditions is significantly decreased compared to that of the bare surface. Interestingly, under low load and high load, the wear rate of the modified Babbitt alloy surface is only 1/4 and 1/3 of that of the bare surface, respectively.

The work proposed an effective method to improve the Babbitt tribological performances and will lighten future ideas for the Babbitt alloy bearing with high wear resistance, which is beneficial to improve the service life of sliding bearings and has huge promotion and application value in the manufacture of sliding bearings.

Metalworking fluids are applied in metal working operations in order to decrease tribological effects and increase economy. Primarily they are used for cooling the tools and the workpieces and also for lubricating the cutting edges. The components of metalworking fluids responsible for decrease in friction are AW/EP additives. To comply with the very strong European legislation for human and environmental protection, important compounds for metalworking fluids formulation are reduced. Based on this, chlorinated paraffin, a widely used AW/EP additive, should be replaced with less harmful compounds. The application possibility of new types of AW/EP additives as chlorinated paraffin replacements is investigated in this paper. These additives are synthetic esters of carboxylic fatty acids, phosphoric and dithiophosphoric acid derivatives. Watermiscible metalworking fluids formulations are prepared with the new types of additives and examined at laboratory test machines–EP‐Four ball, Wear‐Four ball machine and Reichert balance machine.

Examines the thirteenth 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.

Food fraud as intentional deception for economic gain relies on a low-tech food value chain, that applies a ‘paper-and-pencil approach’, unable to provide reliable and trusted data about food products, accompanied processes/activities and actors involved. Such approach has created the information asymmetry that leads to erosion of stakeholders and consumers trust, which in turn discourages cooperation within the food chain by damaging its ability to decrease uncertainty and capability to provide authentic, nutritional, accessible and affordable food for all. Lack of holistic approach, focus on stand-alone measures, lack of proactive measures and undermined role of customers have been major factors behind weaknesses of current anti-fraud measures system. Thus, the process of strong and fast digitalisation enabled by the new emerging technology called Industry 4.0 is a way to provide a shift from food fraud detection to efficient prevention. Therefore, the objective of this chapter is to shed light on current challenges and opportunities associated with Industry 4.0 technology enablers' guardian role in food fraud prevention with the hope to inform future researchers, experts and decision-makers about opportunities opened up by transforming to new cyber-physical-social ecosystem, or better to say ‘self-thinking’ food value chain whose foundations are already under development. The systematic literature network analysis is applied to fulfil the stated objective. Digitalisation and Industry 4.0 can be used to develop a system that is cost effective and ensures data integrity and prevents tampering and single point failure through offering fault tolerance, immutability, trust, transparency and full traceability of the stored transaction records to all agri-food value chain partners. In addition, such approach lays a foundation for adopting new business models, strengthening food chain resilience, sustainability and innovation capacity.

Purpose – This chapter assesses the role of self-help groups within the emerging civil society in two transitional economies, Croatia and Slovenia, focusing on the impact of relationships with health or social care professionals and the state.

Methodology – Methods include participant observation, interviews, and document analysis of 31 groups studied intermittently from 2001 to 2007.

Findings – Self-help groups range from those three decades old to those dealing with “new social problems.” Groups, and the third sector generally, remain essentially dependent on the state. Few exist separately from formal service organizations. Those closely linked with medical institutions are challenged by state retrenchment and privatization. Others contend with funding instability, and Western models of non-profit development are expanding. Relationships with professionals are neither subservient nor independent; instead, groups act as corollaries and educators to the professional realm.

Implications, limitations, and value – Findings suggest more nuances in self-help groups' relations with the state and professionals than found in Western settings. This may illustrate both the potential and the limits of citizen involvement in new non-governmental sectors. It also demonstrates how relations between professionals and self-help groups depend on social and material relations well beyond the domain of systems of care. While specific findings cannot be generalized beyond the research settings, the study shows the importance of understanding such groups within social and political contexts. Contributions to civil society here included re-making public meanings, identities, and relations with professionalized systems. Further comparative assessment of self-help associations is essential to theory on the third sector in civil society.

The paper aims to address the tracking algorithm based on deep learning and four deep learning tracking models developed. They compared with each other to prevent collision and to obtain target tracking in autonomous aircraft.

First, to follow the visual target, the detection methods were used and then the tracking methods were examined. Here, four models (deep convolutional neural networks (DCNN), deep convolutional neural networks with fine-tuning (DCNNFN), transfer learning with deep convolutional neural network (TLDCNN) and fine-tuning deep convolutional neural network with transfer learning (FNDCNNTL)) were developed.

The training time of DCNN took 9 min 33 s, while the accuracy percentage was calculated as 84%. In DCNNFN, the training time of the network was calculated as 4 min 26 s and the accuracy percentage was 91%. The training of TLDCNN) took 34 min and 49 s and the accuracy percentage was calculated as 95%. With FNDCNNTL, the training time of the network was calculated as 34 min 33 s and the accuracy percentage was nearly 100%.

Compared to the results in the literature ranging from 89.4% to 95.6%, using FNDCNNTL, better results were found in the paper.