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The introduction of a People’s Academy (PA) within the School of Health and Social Care (HSC) at London South Bank University has created ripples across the pond that is Higher Education. The paper aims to discuss this issue.

Working as a coproduction innovation hub, the PA celebrates inclusion of those with a lived experience of HSC services into the academic community as valued members of the teaching and learning team. In its second year the PA has gained attention and achieved a “highly commended” status from external regulating bodies.

In this paper the authors report on aspects arising from an entrepreneurial education approach. First, is the work-based learning experience students achieve within the Higher Education Institution (HEI) setting, preparing them for clinical placements and client encounters. Second are ripples of activity the PA work streams have sent throughout the academic staff via critically creative working practices as a process of entrepreneurial education. Conclusions focus on a sustainable approach to recovery and resilience (whether physical or psychological) and overall well-being that PA members recognise as a raised level of compassion for sustainable health and well-being for all.

The work and enthusiasm of the PA as an authentic social engagement process rippling across the “University” experience; whether for students in the classroom or when working alongside academic staff, is identifiable in all aspects of academic activities. Most importantly is a positive gain in terms of knowledge, skills and confidence for the PA members themselves and their own well-being enhancement.

The PA approach to entrepreneurial education and work-based learning across the HEI setting is one of the first of its kind. This paper outlines core practices to achieve innovative coproduction approach that others may wish to replicate.

The purpose of this paper is to present the tribological, anticorrosion and antirust properties of three 2,5-dimercapto-1,3,4-thiadiazole (DMTD) derivatives as water-soluble additives in water–glycol hydraulic fluid.

DMTD derivatives possessing excellent corrosion inhibiting and extreme-pressure (EP) properties have long been used as metal passivators and load-carrying additives in lubricating oils and grease. However, there are seldom literatures about DMTD derivatives as water-soluble lubricant additives as yet. In this work, three DMTD derivatives were synthesized and investigated as water-soluble additives in the water–glycol hydraulic fluid. Their tribological properties were evaluated in detail by four-ball wear test machine and Optimol SRV-IV oscillating friction and wear tester. Meanwhile, their anticorrosion and antirust properties were also investigated by copper strip corrosive tests and antirust tests, respectively. The worn surfaces were analyzed by scanning electron microscope and X-ray photonelectron spectroscope, and the EP, antiwear and friction-reducing mechanisms were primarily proposed.

The synthesized three DMTD derivatives (coded as A, B and C) have excellent solubility in the base liquid of the water–glycol hydraulic fluid. The experimental results demonstrated that all these compounds, especially A, could remarkably improve the EP, antiwear and friction-reducing properties of the base liquid. Furthermore, they all have perfect copper corrosion inhibiting and antirust properties with low adding concentration (< 3 weight per cent) in the base liquid and hence could be used as multifunctional additives in the water–glycol hydraulic fluid.

This research only focused on the synthesized DMTD derivatives. If possible, some other thiadiazole derivatives also should be investigated.

The synthesized DMTD derivatives, especially compound A, can be used as multifunctional water-soluble additives in the water–glycol hydraulic fluid.

In this paper, three DMTD derivatives were synthesized and their tribological behaviors as water-soluble lubricant additives were investigated for the first time. In addition, the EP, antiwear and friction-reducing mechanisms were also put forward.

The purpose of this paper is to prepare water‐soluble TiO₂ nanoparticles and evaluate the tribological properties as additives in water.

Nanoparticles present excellent friction‐reducing and antiwear properties as additives in base oils. However, there are seldom literatures about the nanoparticles as additives in water as yet. In this work, water‐soluble TiO₂ nanoparticles were prepared by sol‐gel method and characterized with transmission electron microscopy and selected area electron diffraction. The tribological properties as additives in water were investigated by SRV and the surface analysis by scanning electron microscope and X‐ray photon electron spectroscope.

TiO₂ nanoparticles modified with polyethylene glycol have uniform size about 10 nm and easily dissolve in water. The tribological experiments showed TiO₂ nanoparticles exhibit excellent friction‐reducing and antiwear properties.

The paper is restricted to only TiO₂ nanoparticles. Some other water‐soluble nanoparticles also should be prepared and their tribological properties investigated.

Water‐soluble TiO₂ nanoparticles could be used as water additives and improve the tribological properties.

This paper emphasises that the water‐soluble nanoparticles are prepared and could be used as water additives.

The purpose of this paper is to design a steering control for vehicles to protect the vehicle from spin and to realize improved cornering performance.

The improved cornering performance is realized based on Takagi‐Sugeno fuzzy model and generalized predictive control (GPC). A new approach to establish model of the vehicle is presented on the basis of fuzzy neural network. The network which inputs and outputs are composed of five layers of forward structure is utilized to build the structure and parameters of T‐S fuzzy model through learning from training data. In this way, the vehicle dynamic system is divided into many linear sub‐systems, and the system output is the weighted‐sum of these sub‐systems' outputs. A CARIMA model can be derived from the presented fuzzy model, and GPC is applied to deal with the control problem of vehicle stability.

Vehicle model can be divided into local linear models, corresponding controller can be developed. Simulation results show that fuzzy model based on GPC can be applied to improve stability of the vehicle effectively.

As an exploration of a new approach, the training data are from simulation, and the result of the paper will be applied in actual vehicle trials.

The paper presents useful advice for developing a vehicle stability controller.

The paper presents a new approach to establish a model of the vehicle on the basis of fuzzy neural network, which is valuable for establishing a new controller for vehicle stability.

This chapter will examine the intersectionality of race, class and gender as defining my experience of being a Black, working-class woman in academia over a 30-year period in the United States and United Kingdom. Drawing on Critical Race Theory (Delgado & Stefancic, 2013) as the framework for positionality, early childhood experiences will be discussed along with my entry and journey in academia. My early experiences are important to document as they are influential in defining my working-class heritage. I will also discuss the importance of intersecting issues related to being a Black working-class woman such as my accent and the politics of my hair in the academy. There are unique challenges faced by Black working-class women, so I conclude with some personal tips for staying in academia.

With the ever‐increasing volume of text data via the internet, it is important that documents are classified as manageable and easy to understand categories. This paper proposes the use of binary k‐nearest neighbour (BKNN) for text categorization.

The paper describes the traditional k‐nearest neighbor (KNN) classifier, introduces BKNN and outlines experiemental results.

The experimental results indicate that BKNN requires much less CPU time than KNN, without loss of classification performance.

The paper demonstrates how BKNN can be an efficient and effective algorithm for text categorization. Proposes the use of binary k‐nearest neighbor (BKNN ) for text categorization.

The purpose of this paper is to explore board functions and their location in family firms.

Through structured induction in a four-case study of medium-sized Swedish family firms, the authors demonstrate that board functions can be located in other arenas than in the common board and suggest propositions that explain their distribution.

(1) The board is but one of several arenas where board functions are performed. (2) The functions performed by the board vary in type and emphasis. (3) The non-family directors in a family firm serve the owners, even sometimes governing them, in what the authors term “bidirectional governance”. (4) The kin strategy of the family influences their governance. (5) The utilization of a board for governance stems from the family (together with its constitution, kin strategy and governance strategy), the board composition and the business conditions of the firm.

Being a case study the findings are restricted to concepts and theoretical propositions. Using structured induction, the study is not solely inductive but still contains the subjectivity of induction.

Governance agents should have an instrumental view on the board, considering it one possible governance arena among others, thereby economizing on governance.

The institutional pressure toward active boards could paradoxically reduce the importance of the board in family firms.

The board of a family company differs in its emphasis of board functions and these functions are performed with varying emphases in different governance arenas. The authors propose the concept of kin strategy, which refers to the governance importance of the structure of the owner and observations on bi-directional governance, indicating that the board can govern the owners.

Quadrotor micro aerial vehicle (MAV) is nonlinear and under actuated plant, and it is difficult to obtain an accurate mathematical model for quadrotor MAV due to uncertainties. The purpose of this paper is to propose one robust control strategy for quadrotor MAV to accommodate system uncertainties, variations, and external disturbances.

The robust control strategy is composed of two self‐organizing interval type‐II fuzzy neural networks (SOIT‐IIFNNs) and one PD controller: the PD controller is adopted to control the attitude and position; one of the SOIT‐IIFNNs is designed to learn the inverse model of quadrotor MAV online; the other SOIT‐IIFNNs is the copy of the former one to compensate for model errors, system uncertainties and external disturbances, both structure and parameters of SOIT‐IIFNNs are tuned online at the same time, and then the stability of the resulting quadrotor MAV closed‐loop control system is proved using Lyapunov stability theory.

The validity of the proposed control method has been verified through real‐time experiments. The experimental results show that the performance of SOIT‐IIFNNs is significantly improved compared with Backstepping‐based controller.

This approach has been used in quadrotor MAV, the controller works well, and it could guarantee quadrotor MAV control system with good performances under uncertainties, variations, and external disturbances.

The proposed SOIT‐IIFNNs controller is interesting for the design of an intelligent control scheme. The main contributions of this paper are: the overall closed‐loop control system is globally stable, demonstrated by Lyapunov stable theory; the tracking error can be asymptotically attenuated to a desired small level around zero by appropriate chosen parameters and learning rates; and the quadrotor MAV control system based on SOIT‐IIFNNs controller can achieve favorable tracking performance.

The purpose of the research is to test empirically whether the variables of personal attitudes towards entrepreneurship and perceived control mediate the relationship between entrepreneurship education and intentions of Ukrainian students to become entrepreneurs; to determine whether personal attitudes mediate the relationship between cultural context and entrepreneurial intentions.

The research project carried out jointly by four Kharkiv universities used 349 survey responses from senior students majoring in business and economics and management and marketing. The data was analysed using Partial Least Squares regression.

Education and employed teaching methods, in particular, positively affect students' attitudes towards entrepreneurship, their perceived capability to start a business and indirectly influence entrepreneurial intentions. However, attendance of entrepreneurship-related courses itself does not enhance perceived control and has no significant effect on personal attitudes. The study also shows that cultural context has a positive influence on students' attitudes towards entrepreneurship and, therefore, indirectly impacts their intentions to become entrepreneurs.

Firstly, the students participating in the study were from one country. And secondly, the paper deals with pre-educational entrepreneurial intentions.

The study suggests that a practice-based approach to entrepreneurship education is a key to raising entrepreneurial awareness of young people in countries whose national cultures are built on collectivist values.

The results of the study are of value for teaching staff, who can actually influence students' entrepreneurial self-awareness, and for university management in the context of contemporary education reforms and the latest requirements to education process.