Anticipatory and reactive response to falls: Muscle synergy activation of forearm muscles

We investigated the surface electromyogram response of six forearm muscles to falls onto the outstretched hand. The extensor carpi radialis longus, extensor carpi radialis brevis, extensor carpi ulnaris, abductor pollicis longus, flexor carpi radialis and flexor carpi ulnaris muscles were sampled from eight volunteers who underwent ten self-initiated falls. All muscles initiated prior to impact. Co-contraction is the most obvious surface electromyogram feature. The predominant response is in the radial deviators. The surface electromyogram timing we recorded would appear to be a complex anticipatory response to falling modified by the ef- fect on the forearm muscles following impact. The mitigation of the force of impact is probably more importantly through shoulder abduction and extension and elbow flexion rather than action of the forearm muscles.

A bottom-up integration of vision and actions to create cognitive humanoids

In recent years more and more complex humanoid robots have been developed. On the other hand programming these systems has become more difficult. There is a clear need for such robots to be able to adapt and perform certain tasks autonomously, or even learn by themselves how to act. An important issue to tackle is the closing of the sensorimotor loop. Especially when talking about humanoids the tight integration of perception with actions will allow for improved behaviours, embedding adaptation on the lower-level of the system.

Penology from city to country: Rurality and penality in Australia

There is a long tradition of social inquiry concerned with locational patterns and place-based explanations of crime in which urban/rural differences have been regarded as of cardinal importance. The geographical and socio-spatial aspects of punishment have on the other hand been widely neglected. One reason for this is that cities have been treated as the site of the major crime problems, presenting a contrast with what are commonly assumed (often without careful empirical research) to be the naturally cohesive character of rural communities. Thus punishment, like crime, is not a significant or distinctive issue in rural communities, requiring the attention of criminologists. But just as there are significant and distinctive dimensions to rural crime, the practice of punishment in rural contexts raises important questions worthy of attention. These questions relate to (1) the demand for punishment (i.e. the penal sensibilities to be found in rural communities); (2) the supply of punishment according to principles of legal equality (notably the question of the effective availability in rural courts of the full range of penalties administered by urban courts, in particular alternatives to incarceration); and (3) the differential impact of the same penalties when imposed in different geographical settings (e.g. imprisonment may involve distant removal from an offender’s community in addition to segregation from it; license disqualification is a great deal more consequential in settings where public transport is unavailable). The chapter examines these questions by reference to available knowledge concerning patterns of punishment in rural Australia. This will be set against the background of an analysis of the differential social organisation of penality in rural and urban settings. The generally more attenuated nature of the social state and social provision in rural contexts can, depending upon the profile of particular communities (and in particular their degree of social homogeneity), produce very different penal consequences: more heavy reliance on the penal state on the one hand, or greater recourse to informal social controls on the other.

Access To Justice In The ASEAN The Key Role Of UNCITRAL

UNCITRAL’s operation as a subsidiary of the UN General Assembly, tasked to unify and harmonise international trade law is a necessary and indispensable element of the UN’s mandate to maintain international peace and security. Strong legal frameworks which are compatible with those of international trading partners often accompany accelerated growth in economic capacity and stability. Over time, access to markets and resultant growth in economic and human development creates a disincentive for instability as incomes and standards of living rise. Human and economic development, facilitated by a modernised and just legal framework that is available to the broadest range of recipients goes hand in hand with the maintenance of domestic and regional peace, particularly in regions such as the ASEAN , one of the fastest growing in the world covering approximately 30% of global population and with a number of strong global economic neighbours including Japan, Korea, China (to the north), Australia (to the south) and Singapore (to the west). In an increasingly interconnected world, the ability of government, enterprise and individuals to participate in the global supply chain offers opportunities for economic growth and development. Over its almost 50 years of operations, UNCITRAL has produced a range of important texts that are designed to underpin world trade. A key implicit assumption underpinning the development of UNCITRAL texts is that the texts, once adopted can and will be applied in adopting states.

Diabetic charcot neuroarthropathy of the hand: Clinical course, diagnosis, and treatment options

During the treatment of diabetic Charcot neuroarthropathy (CN) of the foot in two young patients, we discovered atypical alterations of their hands with loss of strength and paresthesia combined with atypical and nonhealing bone alterations and instability. Whereas CN of the foot is a serious and well-known complication of diabetes, CN of the hand is only mentioned in four articles (1–4).

Predicting the temporal response of seagrass meadows to dredging using Dynamic Bayesian Networks

Predicting temporal responses of ecosystems to disturbances associated with industrial activities is critical for their management and conservation. However, prediction of ecosystem responses is challenging due to the complexity and potential non-linearities stemming from interactions between system components and multiple environmental drivers. Prediction is particularly difficult for marine ecosystems due to their often highly variable and complex natures and large uncertainties surrounding their dynamic responses. Consequently, current management of such systems often rely on expert judgement and/or complex quantitative models that consider only a subset of the relevant ecological processes. Hence there exists an urgent need for the development of whole-of-systems predictive models to support decision and policy makers in managing complex marine systems in the context of industry based disturbances. This paper presents Dynamic Bayesian Networks (DBNs) for predicting the temporal response of a marine ecosystem to anthropogenic disturbances. The DBN provides a visual representation of the problem domain in terms of factors (parts of the ecosystem) and their relationships. These relationships are quantified via Conditional Probability Tables (CPTs), which estimate the variability and uncertainty in the distribution of each factor. The combination of qualitative visual and quantitative elements in a DBN facilitates the integration of a wide array of data, published and expert knowledge and other models. Such multiple sources are often essential as one single source of information is rarely sufficient to cover the diverse range of factors relevant to a management task. Here, a DBN model is developed for tropical, annual Halophila and temperate, persistent Amphibolis seagrass meadows to inform dredging management and help meet environmental guidelines. Specifically, the impacts of capital (e.g. new port development) and maintenance (e.g. maintaining channel depths in established ports) dredging is evaluated with respect to the risk of permanent loss, defined as no recovery within 5 years (Environmental Protection Agency guidelines). The model is developed using expert knowledge, existing literature, statistical models of environmental light, and experimental data. The model is then demonstrated in a case study through the analysis of a variety of dredging, environmental and seagrass ecosystem recovery scenarios. In spatial zones significantly affected by dredging, such as the zone of moderate impact, shoot density has a very high probability of being driven to zero by capital dredging due to the duration of such dredging. Here, fast growing Halophila species can recover, however, the probability of recovery depends on the presence of seed banks. On the other hand, slow growing Amphibolis meadows have a high probability of suffering permanent loss. However, in the maintenance dredging scenario, due to the shorter duration of dredging, Amphibolis is better able to resist the impacts of dredging. For both types of seagrass meadows, the probability of loss was strongly dependent on the biological and ecological status of the meadow, as well as environmental conditions post-dredging. The ability to predict the ecosystem response under cumulative, non-linear interactions across a complex ecosystem highlights the utility of DBNs for decision support and environmental management.

Highly efficient spin-conversion effect leading to energy up-converted electroluminescence in singlet fission photovoltaics

Free charge generation in donor-acceptor (D-A) based organic photovoltaic diodes (OPV) progresses through formation of charge-transfer (CT) and charge-separated (CS) states and excitation decay to the triplet level is considered as a terminal loss. On the other hand a direct excitation decay to the triplet state is beneficial for multiexciton harvesting in singlet fission photovoltaics (SF-PV) and the formation of CT-state is considered as a limiting factor for multiple triplet harvesting. These two extremes when present in a D-A system are expected to provide important insights into the mechanism of free charge generation and spin-character of bimolecular recombination in OPVs. Herein, we present the complete cycle of events linked to spin conversion in the model OPV system of rubrene/C60. By tracking the spectral evolution of photocurrent generation at short-circuit and close to open-circuit conditions we are able to capture spectral changes to photocurrent that reveal the triplet character of CT-state. Furthermore, we unveil an energy up-conversion effect that sets in as a consequence of triplet population build-up where triplet-triplet annihilation (TTA) process effectively regenerates the singlet excitation. This detailed balance is shown to enable a rare event of photon emission just above the open-circuit voltage (VOC) in OPVs.