This article proposes building on the success of publicly funded drug research and development and expanding the model to include the full cycle development, testing, manufacture and distribution of innovative and affordable new drugs.

South Africa has seen a surge in child offending. Child offenders commit violent crimes such as armed robbery, housebreaking, rape and murder. Conversely, not all child offenders commit violent crimes. Many child offenders are detained for minor charges such as shoplifting, theft and possession of illegal substances. Most of these children face numerous levels of adversity, including poverty, dysfunctional households and limited parental involvement. Responses to child criminal behaviour accentuate rehabilitation through measures such as diversion. Narrative accounts of children in conflict with the law who underwent mentorship programmes, as a diversion initiative, are scarce and underrepresented. Through a qualitative inquiry, 13 children who completed the National Youth Development Outreach (NYDO) Centre’s Mentoring Diversion Programme were interviewed and data were analysed thematically. Findings provided insight into the participants’ background and context, the mentor–mentee relationship, responsibility, effectiveness of the programme, and aftercare support. This paper contributes to scientific research and is conducive to curtailing child offending.

As part of a petition for a wider faculty, the court considered proposals concerning a font. The Saxon stone font had originally been in Old St Bartholemew's Church, Lower Sapey, which was now in the care of the Churches Conservation Trust. It was proposed to move it back to that church, because its location was said to limit the flexibility of the west end of the church and was a trip hazard. Its removal would cause serious harm to the significance of the church as a building of special architectural or historic interest.

Due to their financial incentive, clinicians who earn income from a firm that markets medical devices, pharmaceuticals, tests, etc. might inappropriately prescribe their products or services. The Cleveland Clinic’s conflict of interest (CI) policy creates rules governing clinicians who accept compensation from outside firms that market products they prescribe or use in their practice (hereafter, covered financial relationships). The CI policy is implemented by the Innovation Management and Conflict of Interest Program (IM&COI) (hereafter the Committee).

Given how thoroughly the history of quantum physics has been excavated, it might be wondered what these two hefty volumes by a physicist (Duncan) and a historian (Janssen) bring to the table. Aside from their inclusion of a wide range of recent work in this area, including some notable publications by themselves, the answer is twofold: first, as they state explicitly in the preface to the first volume, derivations of the key results are presented ‘at a level that a reader with a command of physics and mathematics comparable to that of an undergraduate in physics should be able to follow without having to take out pencil and paper’ (vol. 1, p. vi). In response to those who might raise Whiggish eyebrows, I shall simply play the ‘you-try-reading-Pascual-Jordan's-groundbreaking-work-in-the-original’ card. As the authors suggest, by using modern notation and streamlining derivations whilst also, they maintain, remaining conceptually faithful to the original sources (ibid.), the book is rendered suitable for classroom use, albeit at the higher undergraduate or graduate levels.

Modeling multivariate dependence in high dimensions is challenging, with popular solutions constructing multivariate copula as a composition of lower dimensional copulas. Pair-copula constructions do so by using bivariate linking copulas, but their parametrization, in size, being quadratic in the dimension, is not quite parsimonious. Besides, the number of regular vines grows super-exponentially with the dimension. One parsimonious solution is factor copulas, and in particular, the one-factor copula is touted for its simplicity – with the number of parameters linear in the dimension – while being able to cater to asymmetric non-linear dependence in the tails. In this paper, we add nuance to this claim from the point of view of a popular measure of multivariate tail dependence, the tail dependence matrix (TDM). We focus on the one-factor copula model with the linking copula belonging to the BB1 family, pointing out later the applicability of our results to a wider class of linking copulas. For this model, we derive tail dependence coefficients and study their basic properties as functions of the parameters of the linking copulas. Based on this, we study the representativeness of the class of TDMs supported by this model with respect to the class of all possible TDMs. We establish that since the parametrization is linear in the dimension, it is no surprise that the relative volume is zero for dimensions greater than three, and hence, by necessity, we present a novel manner of evaluating the representativeness that has a combinatorial flavor. We formulate the problem of finding the best representative one-factor BB1 model given a target TDM and suggest an implementation along with a simulation study of its performance across dimensions. Finally, we illustrate the results of the paper by modeling rainfall data, which is relevant in the context of weather-related insurance.

In the evolving field of advanced biopreservation technologies, the development of suspended animation (SA) is inspired by real-world challenges. In the context of space exploration, SA is seen as a solution to enable humans to undertake missions far beyond low Earth orbit, including routine travel to other planets in our solar system and beyond. While work on the socio-ethical and legal implications (ELSI) of space exploration continues to evolve, NASA has committed to make ethics a priority issue, making this a fruitful field for further examination.

The integration of big data into criminal investigations is advancing significantly. Big data fundamentally involves the utilization of artificial intelligence technologies to analyse vast quantities of electronic information. The inherent features of big data contribute to minimizing subjectivity in investigative procedures and facilitate the evolution of criminal investigation methodologies and incident identification. However, challenges persist regarding the protection of rights and potential biases in data collection, as well as issues of subjectivity and the “black box effect” in data processing, alongside security concerns related to data storage. To address these challenges, it is essential to implement strategies such as enhancing the quality of big data, restricting the transparency of data processing methods and establishing a tiered protection framework for personal information.

In this paper, we provide sufficient conditions for a space X to satisfy the Ganea conjecture for topological complexity. To achieve this, we employ two auxiliary invariants: weak topological complexity in the sense of Berstein–Hilton, along with a certain stable version of it. Several examples are discussed.