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Novel biological production processes can be utilised to convert waste materials, such as cellulose, crop residues and animal excreta, to products which can be sold or used within agriculture. Some of these biological processes may involve the use of enzymes, bacteria or fungi and may need to be carried out in the controlled conditions of an industrial plant. Unorthodox animals may also be used and with them the degree of control required may be less — or the cost of achieving it less. Costs could be minimised by using very simple methods and cheap equipment.

Most people would agree that smoking, especially of cigarettes, is a closely ingrained habit in great masses of the British people, as indeed it is in most other parts of the world, but there can be few countries where so many people smoke at their work. The large number of prosecutions of food workers for smoking while handling open food and the presence of tobacco, cigarette ends, spent matches, etc., in foods; these are an index of how widespread is the habit of smoking at work.

The issue of the genetic manipulation of plants, animals and microbes is addressed within the context of food production. Genetic manipulation is defined within the wider area of biotechnology and some of the main benefits of its use are summarised; safety and risk are examined and some of the socioeconomic problems it can create are discussed. It is concluded that the technique can offer great potential benefits in terms of increased quantity and improved quality of food, but it raises social/ethical concerns which can be summed up by asking: Is it safe? Is it fair? Is it natural?

The issue of food safety and the general public′s perception of it is addressed. Risk perception among consumers is a major factor affecting food choice. The cultural and economic context within which food consumption as risk‐taking behaviour is defined and it is shown that long‐term cultural and economic trends have developed a situation in which ambivalence concerning food can interact with intensive media coverage to induce acute bouts of large‐scale collective anxiety. It is shown that the recent food scares in the UK are not random occurrences; they emerge from an interaction of a number of identifiable factors.

This paper is derived from a larger scale project investigating consumer attitudes towards organic food in the UK. Presents focus group results on consumer perceptions, attitudes and behaviour in relation to two key interrelated food trends: organic food and animal welfare. The results indicate that consumers often confuse organic and free‐range products because they believe that “organic” is equivalent to “free‐range” food. Focus group discussions were conducted to identify the main beliefs and attitudes towards organic food of both organic and non‐organic food buyers. Results indicate that, although health and food safety concerns are the main motives for organic food purchases, ethical concerns, specifically in relation to standards of animal welfare, play a significant influencing role in the decision to purchase organic food. The results are consistent with parallel research into consumer concerns about animal welfare, which showed that consumers are primarily concerned about food safety issues. Furthermore, the research illustrates the central outcome that animal welfare is used by consumers as an indicator of other, more important product attributes, such as safety and the impact on health. Indeed, ethical considerations seem to motivate the purchase of organic food and free‐range products and, therefore, may be viewed as interrelated. However, such ethical frameworks are closely related, if not contingent upon, the quality of the product, which includes perceptions of higher standards of safety and healthiness. Based on the qualitative data, suggests that the organic market could take advantage of research on consumer motivation to buy free‐range products, by embodying ethical concerns as an indicator of product quality.

Vegetarianism is currently receiving more attention from the food industry than ever before. The campaign initiated by the NACNE and COMA Reports has created a new “health appeal”, resulting in an increased demand for vegetarian food, which is consumer‐driven. Product development in the vegetarian sector should, therefore, favour the use of vegetables and pulses rather than dairy products. Beans, nuts, seeds and grains are all the more appetising now because of the abundance of vegetables available to combine with them. Manufacturers should take the opportunity of an expanding market to provide imaginative, sumptuous products which truly do justice to the variety of colours, flavours and textures of pulses.

This study investigates the flow and heat transfer in a magnetohydrodynamic (MHD) ternary hybrid nanofluid (HNF), considering the effects of viscous dissipation and radiation.

The transport equations are transformed into nondimensional partial differential equations. The local nonsimilarity (LNS) technique is implemented to truncate nonsimilar dimensionless system. The LNS truncated equation can be treated as ordinary differential equations. The numerical results of the equation are accomplished through the implementation of the bvp4c solver, which leverages the fourth-order three-stage Lobatto IIIa formula as a finite difference scheme.

The findings of a comparative investigation carried out under diverse physical limitations demonstrate that ternary HNFs exhibit remarkably elevated thermal efficiency in contrast to conventional nanofluids.

The LNS approach (Mahesh et al., 2023; Khan et al., 20223; Farooq et al., 2023) that we have proposed is not currently being used to clarify the dynamical issue of HNF via porous media. The LNS method, in conjunction with the bvp4c up to its second truncation level, yields numerical solutions to nonlinear-coupled PDEs. Relevant results of the topic at hand, obtained by adjusting the appropriate parameters, are explained and shown visually via tables and diagrams.

This chapter focuses on two aspects of the achievement gap – underachievement and low achievement among Black males in urban school contexts. More specifically, the authors explain several problems/issues confronting Black male students in P-12 gifted and talented, advanced placement, and special education programs, along with the school-to-prison pipeline – inequitable discipline in the form of suspensions and expulsions. We parse underrepresentation and overrepresentation for this student group. A central part of this discussion is grounded in the achievement gap literature on Black students in general with implications for Black males in particular. Another fundamental aspect of this discussion is the need for educators to adopt an anti-racist (social justice or civil rights) and cultural competence approach to their work, which means being equity-based and culturally responsive in philosophy and action. Suggestions for closing the achievement gap and otherwise improving the achievement of Black males are provided for educators. We also compel educators to go beyond talking about equity by setting quantifiable equity goals for minimum and maximum percentages (and numbers).

The goal of this research is to develop a dynamic step path planning algorithm based on the rapidly exploring random tree (RRT) algorithm that combines Q-learning with the Gaussian distribution of obstacles. A route for autonomous vehicles may be swiftly created using this algorithm.

The path planning issue is divided into three key steps by the authors. First, the tree expansion is sped up by the dynamic step size using a combination of Q-learning and the Gaussian distribution of obstacles. The invalid nodes are then removed from the initially created pathways using bidirectional pruning. B-splines are then employed to smooth the predicted pathways.

The algorithm is validated using simulations on straight and curved highways, respectively. The results show that the approach can provide a smooth, safe route that complies with vehicle motion laws.

An improved RRT algorithm based on Q-learning and obstacle Gaussian distribution (QGD-RRT) is proposed for the path planning of self-driving vehicles. Unlike previous methods, the authors use Q-learning to steer the tree's development direction. After that, the step size is dynamically altered following the density of the obstacle distribution to produce the initial path rapidly and cut down on planning time even further. In the aim to provide a smooth and secure path that complies with the vehicle kinematic and dynamical restrictions, the path is lastly optimized using an enhanced bidirectional pruning technique.

It has often been said that a great part of the strength of Aslib lies in the fact that it brings together those whose experience has been gained in many widely differing fields but who have a common interest in the means by which information may be collected and disseminated to the greatest advantage. Lists of its members have, therefore, a more than ordinary value since they present, in miniature, a cross‐section of institutions and individuals who share this special interest.