m-Reading: Fiction reading from mobile phones

Mobile phones are reportedly the most rapidly expanding e-reading device worldwide. However, the embodied, cognitive and affective implications of smartphone-supported fiction reading for leisure (m-reading) have yet to be investigated empirically. Revisiting the theoretical work of digitization scholar Anne Mangen, we argue that the digital reading experience is not only contingent on patterns of embodied reader–device interaction (Mangen, 2008 and later) but also embedded in the immediate environment and broader situational context. We call this the situation constraint. Its application to Mangen’s general framework enables us to identify four novel research areas, wherein m-reading should be investigated with regard to its unique affordances. The areas are reader–device affectivity, situated embodiment, attention training and long-term immersion

Diets of Bats in West Virginia

Little work has been conducted concerning feeding ecology of bats, and only 2 studies have been done in West Virginia. West Virginia is a prime location for the study of bats because 12 species are reported in the state. To increase knowledge of food habits of bats inhabiting West Virginia, fecal samples of 7 species were examined: Virginia Big-eared Bat (Corynorhinus townsendii virginianus), Rafinesquii’s Big-eared Bat (Corynorhinus rafinesquii), Big Brown Bat (Eptesicus fuscus), Red Bat (Lasiurus borealis), Little Brown Myotis (Myotis lucifugus), Northern Myotis (Myotis septentrionalis), and Eastern Pipistrelle (Pipistrellus subflavus). Collections of samples were made in the eastern mountainous area, the Ohio Valley area, and the New River Gorge area. Biologists with WV Division of Natural Resources (DNR) Nongame Program conducting bat surveys during the 2000 and 2001 summer field seasons (15 May to 15 Aug.) collected the samples used. Fecal pellets were teased apart in petri dishes and insect remains were identified to the lowest taxonomic level possible. After identification, volume and frequency percentages were calculated to estimate major food sources of the bats. With knowledge of diets and feeding ecology, it is possible to make inferences that may be useful in conservation of bats in West Virginia

An X-ray and neutron scattering study of amorphous hydrogenated carbon

A series of thin film and powder samples of amorphous hydrogenated carbon (a-CH) have been deposited in a fast atom source, from one of three hydrocarbon precursor gases, at a deposition energy ranging between 0.5keV and 1.2keV. Neutron scattering studies, sensitive to both the carbon and hydrogen environments, have been carried out on three of these samples, deposited at the same impact energy, having varying degrees of isotopic enrichment. The measured scattering profiles have been used to derive the partial C-C, C-H and H-H correlation functions for the material, affording an insight into the structural configuration of this phase of a-C:H of unique clarity. Complementary X-ray diffraction measurements, dominated by contributions from the carbon matrix, have been made on these isotopically substituted samples and two further samples deposited at a lower deposition energy. A structural reconfiguration from a graphite-like, highly trigonally bonded network, to a more diamond-like atomic arrangement has been observed as the deposition energy falls, accompanied by a progressive change in the void structure. X-ray diffraction studies have also been made of two samples and of a-C:H, deposited from the same precursor has, at impact energies of 0.5keV and 0.85keV. Again a breakdown in the intra- and inter-layer graphite-like structural arrangement has been found to occur as the deposition energy decreases. The Warren-Mavel fluorescence detection technique has been used to remove the incoherent scattering contribution to the measured X-ray scattering profiles and has been shown to be highly efficient at the removal of such contributions when used in conjunction with a synchrotron X-ray source. In fact, this technique has been so successful that is has highlighted the problem of obtaining suitable theoretical self scattering curbes for the coherent data accessed. Preliminary studies on a novel glancing angle X-ray diffraction technique for the in situ analysis of thin film samples of a-C:H, mounted on a crystalline substrate, have been carried out. Two films have been studied, and early results have been encouraging, showing that not only can scattering profiles be collected for these low Z, amorphous systems from films 1μm thick, but that depth profiling of the thin film/substrate system is also possible

An Incremental Adoption Pathway for Developing Precision Medicine Based Healthcare Infrastructure for Underserved Settings

Recent focus on Precision medicine (PM) has led to a flurry of research activities across the developed world. understaffed and underfunded health care systems in the US and elsewhere evolve to adapt PM to address pressing But how can healthcare needs? We offer guidance on a wide range of sources of healthcare data / knowledge sources as well as other infrastructure / tools that could inform PM initiatives, and may serve as low hanging fruit easily adapted on the incremental pathway towards a PM based healthcare system. Using these resources and tools, we propose an incremental adoption pathway to inform implementers working in underserved communities around the world on how they should position themselves to gradually embrace the concepts of PM with minimal interruption to existing care delivery

Conditioned Reinforcement can be Mediated by Either Outcome-Specific or General Affective Representations

Conditioned reinforcers are Pavlovian cues that support the acquisition and maintenance of new instrumental responses. Responding on the basis of conditioned rather than primary reinforcers is a pervasive part of modern life, yet we have a remarkably limited understanding of what underlying associative information is triggered by these cues to guide responding. Specifically, it is not certain whether conditioned reinforcers are effective because they evoke representations of specific outcomes or because they trigger general affective states that are independent of any specific outcome. This question has important implications for how different brain circuits might be involved in conditioned reinforcement. Here, we use specialized Pavlovian training procedures, reinforcer devaluation and transreinforcer blocking, to create cues that were biased to preferentially evoke either devaluation-insensitive, general affect representations or, devaluation-sensitive, outcome-specific representations. Subsequently, these cues, along with normally conditioned control cues, were presented contingent on lever pressing. We found that intact rats learned to lever press for either the outcome or the affect cues to the same extent as for a normally conditioned cue. These results demonstrate that conditioned reinforcers can guide responding through either type of associative information. Interestingly, conditioned reinforcement was abolished in rats with basolateral amygdala lesions. Consistent with the extant literature, this result suggests a general role for basolateral amygdala in conditioned reinforcement. The implications of these data, combined with recent reports from our laboratory of a more specialized role of orbitofrontal cortex in conditioned reinforcement, will be discussed

Chondral Lesion in the Hip Joint and Current Chondral Repair Techniques

This chapter gives a detailed review of the composition, structure and biomechanics of articular cartilage in the joint. W have looked at the most common types of cartilage lesions and at the existing methods of articular cartilage repair techniques in the hip joint. Articular cartilage is specialized hyaline cartilage which makes a firm, smooth and slippery surface that resists plastic deformation. It has a unique structure and mechanical properties that provide joints with a surface that combines low friction, shock absorption and wear resistance, while bearing large repetitive loads throughout an individual’s lifetime. Cartilage lesions in the hip are most common on the acetabular side and typically present as focal area of delamination or chondral flap. Joint preserving techniques are becoming increasingly common. The spectrum of options includes palliative procedures such as joint lavage and chondral debridement, reparative procedures such as microfracture and direct chondral repair, and restorative procedures such as mosaicoplasty. Preservation of the host tissue is most attractive solution to cartilage damage, particularly in young active individuals. Tissue engineering offers one solution but many problems have to be overcome before these techniques become a reality

Surveys of experiences of sexual violence and harassment in higher education: reports and findings

In April 2021, the Minister for Further and Higher Education, Research, Innovation and Science, Simon Harris, asked the Higher Education Authority (HEA) to conduct national surveys to track students\u27 and staff\u27s experiences of sexual violence and harassment. Working with an expert advisory group, the HEA Centre of Excellence for Equality Diversity and Inclusion ran surveys of staff and students in April 2021. 7,901 students and 3,516 staff answered the surveys (11,417 responses in total). The department will use the results of these surveys to make policy and funding decisions to tackle sexual violence and harassment in higher education institutions (HEIs)

Physics-guided neural networks for feedforward control with input-to-state stability guarantees

Currently, there is an increasing interest in merging physics-based methods and artificial intelligence to push performance of feedforward controllers for high-precision mechatronics beyond what is achievable with linear feedforward control. In this paper, we develop a systematic design procedure for feedforward control using physics-guided neural networks (PGNNs) that can handle nonlinear and unknown dynamics. PGNNs effectively merge physics-based and NN-based models, and thereby result in nonlinear feedforward controllers with higher performance and the same reliability as classical, linear feedforward controllers. In particular, conditions are presented to validate (after training) and impose (before training) input-to-state stability (ISS) of PGNN feedforward controllers. The developed PGNN feedforward control framework is validated on a real-life, high-precision industrial linear motor used in lithography machines, where it reaches a factor 2 improvement with respect to conventional mass-friction feedforward

Physics-guided neural networks for feedforward control with input-to-state-stability guarantees

The increasing demand on precision and throughput within high-precision mechatronics industries requires a new generation of feedforward controllers with higher accuracy than existing, physics-based feedforward controllers. As neural networks are universal approximators, they can in principle yield feedforward controllers with a higher accuracy, but suffer from bad extrapolation outside the training data set, which makes them unsafe for implementation in industry. Motivated by this, we develop a novel physics-guided neural network (PGNN) architecture that structurally merges a physics-based layer and a black-box neural layer in a single model. The parameters of the two layers are simultaneously identified, while a novel regularization cost function is used to prevent competition among layers and to preserve consistency of the physics-based parameters. Moreover, in order to ensure stability of PGNN feedforward controllers, we develop sufficient conditions for analyzing or imposing (during training) input-to-state stability of PGNNs, based on novel, less conservative Lipschitz bounds for neural networks. The developed PGNN feedforward control framework is validated on a real-life, high-precision industrial linear motor used in lithography machines, where it reaches a factor 2 improvement with respect to physics-based mass–friction feedforward and it significantly outperforms alternative neural network based feedforward controllers