Exploring the mens rea requirements of the Serious Crime Act 2007 assisting and encouraging offences

This article examines the mens rea requirements of the new assisting and encouraging offences set out in Part 2 of the Serious Crime Act 2007. Analysing the case of Rv.S&H [2011] EWCA Crim 2872, a case in which the Court of Appeal attempted to clarify this complex and troublesome area, it is demonstrated how and why the court (as well as other academic commentators) have erred in their interpretations of the statute. Moving to clarify these areas of uncertainty, the article then seeks to cast light on concerns about the future operation of these offences, concerns previously hidden by that uncertainty

Understanding ulterior mens rea: future conduct intention is conditional intention

Where criminal offences such as attempt and conspiracy require a defendant (D) to intend future conduct, D’s intention will always be conditional. D’s intention may be explicitly conditional (eg, D intends to rob the shop, but only if unable to pay her rent), or implicitly conditional (eg, D intends to rob the shop, but if asked, would not do so if she found it surrounded by police). Rather than interpreting and defining conditional intention as synonymous with all future conduct intention, however, courts and commentators have too often approached it as unique, separate, and problematic. This has led to problems of inconsistency in application, and simple incoherence. This article sets out and defends a model of conditional intention as future conduct intention, and as the key to understanding and applying ulterior mens rea

NPCs as People, Too: The Extreme AI Personality Engine

PK Dick once asked “Do Androids Dream of Electric Sheep?” In video games, a similar question could be asked of non-player characters: Do NPCs have dreams? Can they live and change as humans do? Can NPCs have personalities, and can these develop through interactions with players, other NPCs, and the world around them? Despite advances in personality AI for games, most NPCs are still undeveloped and undeveloping, reacting with flat affect and predictable routines that make them far less than human— in fact, they become little more than bits of the scenery that give out parcels of information. This need not be the case. Extreme AI, a psychology-based personality engine, creates adaptive NPC personalities. Originally developed as part of the thesis “NPCs as People: Using Databases and Behaviour Trees to Give Non-Player Characters Personality,” Extreme AI is now a fully functioning personality engine using all thirty facets of the Five Factor model of personality and an AI system that is live throughout gameplay. This paper discusses the research leading to Extreme AI; develops the ideas found in that thesis; discusses the development of other personality engines; and provides examples of Extreme AI’s use in two game demos

A contingency analysis of precarious organizational temporariness

This paper extends our current understanding of organizational temporariness. The life of a temporary British trade union branch established to recruit Eastern European migrant workers reveals ‘precarious temporariness’, which is less predictable than the ‘planned temporariness’ typically portrayed in the literature. This different type of temporariness was associated with four key contingencies affecting the branch: dispersed governance, bottom-up initiatives, uncertain resourcing, and an effectuation logic. Analysis of the case extends our existing understanding of organizational temporariness and points to an extension of existing theorizing by highlighting the contingent nature of temporariness. The broader managerial implication of the findings is that for projects facing contingencies of the kind studied, the conventional linear approach of target setting and performance management will be less effective than an ongoing process of communication and consultation

Use of non-ionic substrates for determination of cellulase

Use of non-ionic substrates for determination of cellulas

Association of molecules using a resonantly modulated magnetic field

We study the process of associating molecules from atomic gases using a magnetic field modulation that is resonant with the molecular binding energy. We show that maximal conversion is obtained by optimising the amplitude and frequency of the modulation for the particular temperature and density of the gas. For small modulation amplitudes, resonant coupling of an unbound atom pair to a molecule occurs at a modulation frequency corresponding to the sum of the molecular binding energy and the relative kinetic energy of the atom pair. An atom pair with an off-resonant energy has a probability of association which oscillates with a frequency and time-varying amplitude which are primarily dependent on its detuning. Increasing the amplitude of the modulation tends to result in less energetic atom pairs being resonantly coupled to the molecular state, and also alters the dynamics of the transfer from continuum states with off-resonant energies. This leads to maxima and minima in the total conversion from the gas as a function of the modulation amplitude. Increasing the temperature of the gas leads to an increase in the modulation frequency providing the best fit to the thermal distribution, and weakens the resonant frequency dependence of the conversion. Mean-field effects can alter the optimal modulation frequency and lead to the excitation of higher modes. Our simulations predict that resonant association can be effective for binding energies of order $h \times 1$ MHz.Comment: 8 pages latex, figures revised, references updated and typos correcte