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The next generation of air traffic control equipment for Canadian airports, to be produced by CAE Electronics Ltd, is to be a modularised system with a high degree of commonality of major components designed for employing redundancy and self‐reconfiguring features, called the Joint Enroute Terminal System.

This study aims to elucidate the machining properties of low-cost expanded clay-reinforced syntactic foams by using different neural network models for the first time in the literature. The main goal of this endeavor is to create a casting machining-neural network modeling flow-line for real-time foam manufacturing in the industry.

Samples were manufactured via an industry-based die-casting technology. For the slot milling tests performed with different cutting speeds, depth of cut and lubrication conditions, a 3-axis computer numerical control (CNC) machine was used and the force data were collected through a digital dynamometer. These signals were used as input parameters in neural network modelings.

Among the algorithms, the scaled-conjugated-gradient (SCG) methodology was the weakest average results, whereas the Levenberg–Marquard (LM) approach was highly successful in foreseeing the cutting forces. As for the input variables, an increase in the depth of cut entailed the cutting forces, and this circumstance was more obvious at the higher cutting speeds.

The effect of milling parameters on the cutting forces of low-cost clay-filled metallic syntactics was examined, and the correct detection of these impacts is considerably prominent in this paper. On the other side, tool life and wear analyses can be studied in future investigations.

It was indicated that the milling forces of the clay-added AA7075 syntactic foams, depending on the cutting parameters, can be anticipated through artificial neural network modeling.

It is hoped that analyzing the influence of the cutting parameters using neural network models on the slot milling forces of metallic syntactic foams (MSFs) will be notably useful for research and development (R&D) researchers and design engineers.

This work is the first investigation that focuses on the estimation of slot milling forces of the expanded clay-added AA7075 syntactic foams by using different artificial neural network modeling approaches.

Cantilever plates subject to axial flow can lose stability by flutter and properties such as viscoelasticity and laminar friction affect dynamic stability. The purpose of the present study is to investigate the dynamic stability of viscoelastic cantilever plates subject to axial flow by using the differential quadrature method.

Equation of motion of the viscoelastic plate is derived by implementing Kelvin-Voigt model of viscoelasticity and applying inverse Laplace transformation. The differential quadrature method is employed to discretize the equation of motion and the boundary conditions leading to a generalized eigenvalue problem. The solution is verified using the existing results in the literature and numerical results are given for critical flow velocities

It is observed that higher aspect ratios lead to imaginary part of third frequency becoming negative and causing single-mode flutter instability. It was found that flutter instability does not occur at low aspect ratios. Moreover the friction coefficient is found to affect the magnitude of critical flow velocity, however, its effect on the stability behaviour is minor.

The effects of various problem parameters on the dynamic stability of a viscoelastic plate subject to axial flow were established. It was shown that laminar friction coefficient of the flowing fluid increases the critical fluid velocity and higher aspect ratios lead to single-mode flutter instability. The effect of increasing damping of viscoelastic material on the flutter instability was quantified and it was found that increasing viscoelasticity can lead to divergence instability.

Recent concern about governmental hospital performance has intensified interest in the working conditions of doctors. In North Cyprus, there are several problems related with the functioning and performance of hospitals, such as lack of patient satisfaction, long waiting times for treatment, and dissatisfaction from doctors. In analyzing the reasons for such problems and proposing solutions, components of the hospital system, namely, the doctors and the patients and other health personnel, are considered to be important. The purpose of this paper is to analyze the satisfaction and importance levels of doctors from their working conditions and environment which are key determinants of patient satisfaction.

A questionnaire consisting of two main sections was constructed. The first section included personal information and the second section consisted of perceptional questions about importance and satisfaction levels related to the working conditions of doctors. The sample population of this paper was composed of governmental and private hospital doctors working in North Cyprus.

All the aspects of working conditions of the governmental and private hospital doctors are found to be crucial for them. In general, majority of the governmental hospital doctors are unsatisfied with the aspects of working conditions; whereas, the satisfaction levels of private hospital are higher than that of governmental hospital doctors.

This paper is planned to be a valuable scientific contribution to the actions of the Ministry of Health in North Cyprus for the improvement of the working conditions of doctors which would in turn lead to greater patient satisfaction.

The ability to learn from previous events in support of preventing future similar events is a valuable attribute of aviation safety systems. A primary constituent of this mechanism is the reporting of incidents and its importance in support of developing learning material. Many regulatory requirements clearly define a structure for the use of learning material through organisational and procedural continuation training programmes. This paper aims to review aviation regulation and practice, highlighting the importance of learning as a key tenet of safety performance.

Applicable International Civil Aviation Organisation requirements and the European Union (EU) regulation in aircraft maintenance and continuing airworthiness management have been critically reviewed through content analysis.

This review has identified gaps in the European implementing rules that could be addressed in the future to support a more effective approach to the delivery of lessons in the aircraft maintenance and continuing airworthiness management sector. These include light-touch of learning and guidance requirements, lack of methodologies for the augmentation of safety culture assessment, absence of competence requirements for human factors trainers and lack of guidance on standardised root-cause analyses.

This paper offers aviation safety practitioners working within the European Aviation Safety Agency regulatory regime an insight into important matters affecting the ability to learn from incidents.

This paper evaluates critically and independently the regulation and practice that can affect the ability of EU regulated aircraft maintenance and continuing airworthiness management organisations to learn from incidents. The outputs from this research present a fresh and independent view of organisational practices that, if left unchecked, are capable of impeding the incident learning process.

Making their first Farnborough appearance were two Grumman types among the many international newcomers. The E‐2C Hawkeye was in the static park equipped with five tons of electronic equipment that is capable of simultaneously detecting hundreds of targets over land or sea and guiding interceptors on to these targets. The Grumman F‐14A Tomcat two seat swing‐wing carrier‐based air superiority fighter gave daily flight demonstrations which hinted at its versatility. It is equipped with the AW‐9 weapons control system which is claimed to have exceptional detection ranges, standoff firing capabilities and attack modes. The Tomcat and Hawkeye are complementary and this capability was emphasised by the manufacturers, since both are in service with the US Navy and operate as a team with a high security voice and data communications system.

Revealed preference axioms provide a simple way of testing data from consumers or firms for consistency with optimizing behavior. The resulting non-parametric tests are very attractive, since they do not require any ad hoc functional form assumptions. A weakness of such tests, however, is that they are non-stochastic. In this paper, we provide a detailed analysis of two non-parametric approaches that can be used to derive statistical tests for utility maximization, which account for random measurement errors in the observed data. These same approaches can also be used to derive tests for separability of the utility function.

The change in the technological environment within the macro-environment factors in recent years affects states, businesses, societies and individuals and concerns not only technology-based sectors but also many fields. In particular, trends such as artificial intelligence, metaverse, robotics, advanced connectivity, the Internet of Things, big data, small data, blockchain, cloud technologies and reality technologies, which are called new technology, are developing very quickly compared to the past and expanding their global usage areas. Creating strategies and policies without considering these factors creates problems in many areas. These problems are marketing, competition, cost, efficiency and productivity.

Reality technologies, which are the research area in this chapter and enable users to interact with the digital world, have a wide application area in the tourism industry. With technological tools such as smartphones and virtual reality (VR) glasses; personalisation, interactive experience, information gathering and decision-making; many different solutions are produced in areas such as education, service and security. Along with its many advantages, the disadvantages of reality technologies and the negative outputs of this transformation are significant for the understanding and future of the subject.

Purpose: To critically explore the implications of the August 2020, decision by Carleton University’s Institute for Criminology and Criminal Justice (ICCJ) to end to its intern program with the Ottawa police, the RCMP, Correctional Services Canada and Ottawa-Carleton Detention Centre starting in Fall 2021.

Findings: In contrast to the negative reaction of Kevin Haggerty to this decision, the authors offer a strong but qualified endorsement of the ICCJ’s move to put an end to its internship with coercive institutions. The ICCJ strategically mobilized discourses of anti-Blackness and inclusion in response to the murder of George Floyd and the individual and communitarian traumas of Black, First Nations and Metis and students colour in its program. The ICCJ did not, however, substantively engage with the ways that criminology, sociology and the university are complicit through the legitimation practices and processes of ideology, professionalization and research in the ‘violence work’ of the state. The critique, ethics and logical conclusion of abolitionism are obfuscated.

Methodology/Approach: The authors explicitly draw on the Black Radical Tradition, Neo-Marxism and radical neo-Weberianism to sketch research possibilities that resist the university as a space of violence work, both in criminology and in the professionalization of policing.

Originality/Value: The debate between the ICCJ and Kevin Haggerty is an important opportunity to critically analyze the limits of critical criminology and lacunae of a debate about abolitionism, anti-criminology and university-state nexus as a site for the production of ideological and hardware violence work. Grounded in the Black Radical Tradition, neo-Marxism and radical neo-Weberianism, the authors sketch a framework for a research agenda toward the abolition of criminology.