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Body-worn cameras (BWCs) are quickly becoming standardized police equipment. Axon Enterprise, a United States company based in Scottsdale, Arizona, is currently the worldwide purveyor of BWCs having near-complete control over the police body camera market. In 2012, the company launched their Axon Flex body camera alongside claims about the efficacy of these devices. While the research is expanding, scholarship has yet to explore the role that stakeholders like Axon may play in the implementation of body cameras across police services. This empirical chapter examines claims made by Axon in media in relation to the efficacy of their body cameras over a six-year period (2012–2018). Three themes relative to our analysis of Axon claims emerged: officer and community safety; cost and officer efficiency; and accountability and transparency. A basic finding that cut across all three themes is that most of Axon's claims appear to be shaped by beliefs and assumptions. We also found that Axon's claims were mostly predicated on the market (i.e., financial considerations), rather than say scientifically or legally grounded. Some suggestions for future research are noted.

Blast‐induced traumatic brain injury (TBI) is a signature injury of the current military conflicts. Among the different types of TBI, diffuse axonal injury (DAI) plays an important role since it can lead to devastating effects in the inflicted military personnel. To better understand the potential causes associated with DAI, this paper aims to investigate a transient non‐linear dynamics finite element simulation of the response of the brain white matter to shock loading.

Brain white matter is considered to be a heterogeneous material consisting of fiber‐like axons and a structure‐less extracellular matrix (ECM). The brain white matter microstructure in the investigated corpus callosum region of the brain is idealized using a regular hexagonal arrangement of aligned equal‐size axons. Deviatoric stress response of the axon and the ECM is modeled using a linear isotropic viscoelastic formulation while the hydrostatic stress response is modeled using a shock‐type equation of state. To account for the stochastic character of the brain white matter microstructure and shock loading, a parametric study is carried out involving a factorial variation of the key microstructural and waveform parameters.

The results obtained show that the extent of axon undulations and the strength of axon/ECM bonding profoundly affect the spatial distribution and magnitude of the axonal axial normal and shear stresses (the stresses which can cause diffuse axonal injury).

The present approach enables a more accurate determination of the mechanical behavior of brain white matter when subjected to a shock.

It is suggested that the left hemispheric neurons and the magnocellular visual system are specialized in tasks requiring a relatively small number of large neurons having a fast reaction time due to a high firing rate or many dendritic synapses of the same neuron which are activated simultaneously. On the other hand the right hemispheric neurons and the neurons of the parvocellular visual system are specialized in tasks requiring a relatively larger number of short term memory (STM) Hebbian engrams (neural networks). This larger number of engrams is achieved by a combination of two strategies. The first is evolving a larger number of neurons, which may be smaller and have a lower firing rate. The second is evolving longer and more branching axons and thus producing more engrams, including engrams comprising neurons located at cortical areas distant from each other. This model explains why verbal functions of the brain are related to the left hemisphere, and the division of semantic tasks between the left hemisphere and the right one. This explanation is extended to other cognitive functions like visual search, ontological cognition, the detection of temporal order, and the dual cognitive interpretation of the perceived physical phenomena.

A novel model of the upper arm under transcutaneous electrical stimulation with multi-pad electrodes is presented and experimentally validated. The model aims at simulating and analysing the effects of surface electrical stimulation on biceps brachii. The paper aims to discuss these issues.

Both the passive properties of tissues surrounding nerve bundles and the active characteristics of the nervous system are included. The output of the proposed model is nerve recruitment and muscle contraction.

Simulations and experimental tests on six healthy young adults have been conducted and results show that the proposed model gives information on electrically elicited muscle contraction in accordance with in-vivo tests and literature on motor unit recruitment order. Tests with different electrodes configurations show that the spatial distribution of active electrodes is a critical factor in electrically elicited muscle contractions, and that multi-pad electrodes can optimise the stimulation effectiveness and patient comfort with sequences of biphasic pulses of 350 μs at 30 pulses/s and threshold values of 2 mA.

Results encourage the use of the proposed model of the upper arm as a valid and viable solution for predicting the behaviour of the neuromuscular system when surface electrical stimulation is applied, thus optimising the design of neuroprosthetics.

A mathematical model of the extracellular electric field of an active neuron is proposed under a set of simplifying assumptions. The basic assumption is that the electric field is quasi‐stationary. Consequently, the field potential can be obtained by solving the Laplace equation. The main aim of the model is to formulate boundary conditions, which are not rotationally symmetric, and to include the influence of dendrites in the computations. A formula representing the electrical and geometrical composition of the nerve cell is developed, which describes the time and space behavior of the extracellular potential. The results obtained from the model and experimental data closely agree. Possible applications of the model as a means of interpreting experimental data are discussed.

Presents one possible synthesis of the artificial neural network using linking algebra. The mathematical model given is the basis for such a neural network organization. The problem which appears is a mode of realization of the artificial neuron. Starting with the experience gained by many experiments, the model of a neuron that can be realized in the memory of computer is presented.

Robinson (1998) found that women have a larger cerebral arousal than men, and men have a larger Gsar factor of intelligence than women. It is suggested that this finding had been predicted by a previously published theory of this author. This is a continuation of a discussion, most of it in cybernetical journals, between Robinson and the present author about the biological origin of intelligence. Robinson relates intelligence to arousability, which he defined as the maximal level of activity which the cortex can obtain without activation by the brain‐stem. The author’s theory also takes into account the probability of transmission errors in the synapses and individual differences due to hemisphericity. The development of the ideas of this theory is surveyed; in each stage this theory encompassed more biological theories of intelligence. An appendix provides empirical evidence of sex‐related and hemispheric differences.

Suggests that the arousability theory of intelligence and personality of Robinson (1996) lacks two important factors: the influence of neural transmission errors and of hemisphericity on intelligence and personality. It is considered that at least two factors contribute to intelligence. The first factor is the potential energetic level of Hebb’s engrams, which may be related to arousability. The second factor is the probability of neural transmission errors. It is suggested that the theory of H.J. Eysenck, that a neural message is sent repeatedly until it is accepted identically a certain number of times, which is smaller for more intelligent subjects, is correct.