Always On: Understanding the Intrinsic Motivations for Playing Games on Smartphones and the Effect of User Characteristics

This study examines the intrinsic motivations that drive the enjoyment of smartphone games and the influence of the characteristics of age, gender and playfulness on such motivations. Using Self-Determination Theory (SDT) from the discipline of psychology as a basis, a sample of 340 smartphone gamers was surveyed and the results were analyzed using a multiple linear regression approach. The consequent model was then tested in relation to two specific games to further validate the approach and provide a model that is relevant to individual games. This study thus provides a clearer idea of the nature of play as it develops in the era of the smartphone game as well as adding another layer to our understanding of intrinsic motivation due to the fact that smartphone games can be accessed as necessary for need satisfaction, to experience flow, to gain a sense of escapism and ultimately to allow a player to experience a sense of enjoyment. Given that smartphones now constitute an essential communication device, this represents a key change in that people can now access a mode of play almost at whim. Players now have access to an enjoyable experience that can provide satisfactions that other experiences in their daily life may not allow

Machine Learning Inverse Problem for Topological Photonics

Topological concepts open many new horizons for photonic devices, from integrated optics to lasers. The complexity of large scale topological devices asks for an effective solution of the inverse problem: how best to engineer the topology for a specific application? We introduce a novel machine learning approach to the topological inverse problem. We train a neural network system with the band structure of the Aubry-Andre-Harper model and then adopt the network for solving the inverse problem. Our application is able to identify the parameters of a complex topological insulator in order to obtain protected edge states at target frequencies. One challenging aspect is handling the multivalued branches of the direct problem and discarding unphysical solutions. We overcome this problem by adopting a self-consistent method to only select physically relevant solutions. We demonstrate our technique in a realistic topological laser design and by resorting to the widely available open-source TensorFlow library. Our results are general and scalable to thousands of topological components. This new inverse design technique based on machine learning potentially extends the applications of topological photonics, for example, to frequency combs, quantum sources, neuromorphic computing and metrology

Evaluation of Disability Progression in Multiple Sclerosis via Magnetic-Resonance-Based Deep Learning Techniques

Short-term disability progression was predicted from a baseline evaluation in patients with multiple sclerosis (MS) using their three-dimensional T1-weighted (3DT1) magnetic resonance images (MRI). One-hundred-and-eighty-one subjects diagnosed with MS underwent 3T-MRI and were followed up for two to six years at two sites, with disability progression defined according to the expanded-disability-status-scale (EDSS) increment at the follow-up. The patients' 3DT1 images were bias-corrected, brain-extracted, registered onto MNI space, and divided into slices along coronal, sagittal, and axial projections. Deep learning image classification models were applied on slices and devised as ResNet50 fine-tuned adaptations at first on a large independent dataset and secondly on the study sample. The final classifiers' performance was evaluated via the area under the curve (AUC) of the false versus true positive diagram. Each model was also tested against its null model, obtained by reshuffling patients' labels in the training set. Informative areas were found by intersecting slices corresponding to models fulfilling the disability progression prediction criteria. At follow-up, 34% of patients had disability progression. Five coronal and five sagittal slices had one classifier surviving the AUC evaluation and null test and predicted disability progression (AUC > 0.72 and AUC > 0.81, respectively). Likewise, fifteen combinations of classifiers and axial slices predicted disability progression in patients (AUC > 0.69). Informative areas were the frontal areas, mainly within the grey matter. Briefly, 3DT1 images may give hints on disability progression in MS patients, exploiting the information hidden in the MRI of specific areas of the brain

Lifespan extension and the doctrine of double effect

Recent developments in biogerontology—the study of the biology of ageing—suggest that it may eventually be possible to intervene in the human ageing process. This, in turn, offers the prospect of significantly postponing the onset of age-related diseases. The biogerontological project, however, has met with strong resistance, especially by deontologists. They consider the act of intervening in the ageing process impermissible on the grounds that it would (most probably) bring about an extended maximum lifespan—a state of affairs that they deem intrinsically bad. In a bid to convince their deontological opponents of the permissibility of this act, proponents of biogerontology invoke an argument which is grounded in the doctrine of double effect. Surprisingly, their argument, which we refer to as the ‘double effect argument’, has gone unnoticed. This article exposes and critically evaluates this ‘double effect argument’. To this end, we first review a series of excerpts from the ethical debate on biogerontology in order to substantiate the presence of double effect reasoning. Next, we attempt to determine the role that the ‘double effect argument’ is meant to fulfil within this debate. Finally, we assess whether the act of intervening in ageing actually can be justified using double effect reasoning

A cross-sectional survey of mental health service users’, carers’ and professionals’ priorities for patient safety in the United Kingdom

Background: Establishing patient safety priorities in psychiatry has received less international attention than in other areas of health care. This study aimed to identify safety issues as described by people in the United Kingdom identifying as mental health service users, carers and professionals. Methods: A cross-sectional online survey was distributed via social media. Identified safety issues were mapped onto the Yorkshire Contributory Factors Framework (YCFF) which categorizes factors that contribute to patient safety incidents in general hospital settings. Service user and carer responses were described separately from professional responses using descriptive statistics. Results: One hundred and eighty-five responses from 95 service users and carers and 90 professionals were analysed. Seventy different safety issues were identified. These were mapped onto the 17 existing categories of the YCFF and two additional categories created to form the YCFF-MH. Most frequently identified issues were as follows: “Individual characteristics” (of staff) which included competence and listening skills; “Service process” that contained concerns about waiting times; “Management of staff and staffing levels” dominated by staffing levels; and “External policy context” which included the overall resourcing of services. Professionals identified staffing levels and inadequate community provision more frequently than service users and carers, who in turn identified crisis care more frequently. Conclusions: This study updates knowledge on stakeholder perceived safety issues across mental health care. It shows a far broader range of issues relating to safety than has previously been described. The YCFF was successfully modified to describe these issues and areas for further coproduced research are suggested

Lining up with heroes

Sponsorship in the marketing mix can give a business a competitive advantage. But just throwing money at the relationship doesnt ensure victory. Francis Farrelly outlines essentials to get across the line

Gamma- and beta-decay spectroscopy of 190W, 205Au and 203Au

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