Passivity, being-with and being-there: care during birth

This paper examines how to best be with women during birth, based on a phenomenological description of the birth experience. The first part of the paper establishes birth as an uncanny experience, that is, an experience that is not only entirely unfamiliar, but even unimaginable. The way in which birth happens under unknowable circumstances (in terms of when, how, with whom…) creates a set of anxieties on top of the fundamental anxiety that emerges from the existential paradox by which it does not seem possible for a body to give birth to another body. Would homebirth provide a remedy to the uncanniness? The result yielded by medical studies is confirmed by the phenomenological perspective taken here: homebirth might be reassuring for some, but not for everybody; choice of birth place is important. Once the birth process starts happening, another layer of strangeness is added: it turns out to be an experience of radical passivity and waiting, normally. The question thus becomes how to best care for somebody who is exposed to uncanniness, passivity, and waiting. Martin Heidegger’s concepts of care and discourse prove useful in examining how to facilitate rather than interrupt this process. It becomes necessary to think beyond verbal communication towards a wider concept of communication that involves silence and intercorporeality. Birth requires a special kind of being-with as being-there

Magnetic moment and coupling mechanism of iron-doped rutile TiO2 from first principles

Published versio

Trends in world tuna fishery

Since the nineteenth century, indeed since a ncient times tuna fishing has been carried out in many places in the world. These fisheries were local and generally near the coasts. As most species of tunas are highly migratory, fishers caught them only at certain points in their life cycle. In other words, the fishing had to be seasonal

Managing Access to Biobanks:How Can We Reconcile Privacy and Public Interests in Genetic Research?

This article is concerned with the ultimate objectives of genetic biobanks set up to promote the public interest—being the sharing of samples and data for medical research—and the consequences for personal privacy of realising them. Our aim is to chart the values, interests and principles in play, to consider the challenges of realizing biobanking objectives on a global scale, and to propose viable ways forward that ensure, as far as possible, that access provisions remain fit for purpose throughout the entire life of a biobank, while adequately protecting the privacy interests at stake. It is argued that key features in any robust access model must include mechanisms to (a) maintain participant trust in management of the resource and to measure and respond to participants’ expectations, (b) facilitate and promote the sharing of benefits, and (c) respond timeously and effectively to new challenges

Abnormal hermaphroditic skipjack, Katsuwonus pelamis (Linnaeus, 1758) from Agatti coast, Lakshadweep, India

A hermaphroditic specimen of skipjack tuna, Katsuwonus pelamis of forklength (FL) – 56 cm and total weight (TW) – 3.20 kg was caught by pole and line on 21st November 2005 from the Agatti coast, Lakshadweep. Histological studies revealed that both the ovarian and testicular portions had developed a complete series of gametogenic cell lines

Machine learning methods for automatic silent speech recognition using a wearable graphene strain gauge sensor

Silent speech recognition is the ability to recognise intended speech without audio information. Useful applications can be found in situations where sound waves are not produced or cannot be heard. Examples include speakers with physical voice impairments or environments in which audio transference is not reliable or secure. Developing a device which can detect non-auditory signals and map them to intended phonation could be used to develop a device to assist in such situations. In this work, we propose a graphene-based strain gauge sensor which can be worn on the throat and detect small muscle movements and vibrations. Machine learning algorithms then decode the non-audio signals and create a prediction on intended speech. The proposed strain gauge sensor is highly wearable, utilising graphene’s unique and beneficial properties including strength, flexibility and high conductivity. A highly flexible and wearable sensor able to pick up small throat movements is fabricated by screen printing graphene onto lycra fabric. A framework for interpreting this information is proposed which explores the use of several machine learning techniques to predict intended words from the signals. A dataset of 15 unique words and four movements, each with 20 repetitions, was developed and used for the training of the machine learning algorithms. The results demonstrate the ability for such sensors to be able to predict spoken words. We produced a word accuracy rate of 55% on the word dataset and 85% on the movements dataset. This work demonstrates a proof-of-concept for the viability of combining a highly wearable graphene strain gauge and machine leaning methods to automate silent speech recognition.EP/S023046/

Assessment of energy return on energy investment (EROEI) of oil bearing crops for renewable fuel production

As reported in literature the production of biodiesel should lead to a lower energy consumption than those obtainable with its use. So, to justify its consumption, a sustainable and “low input” production should be carried out. In order to assess the sustainability of Linum usitatissimum, Camelina sativa and Brassica carinata cultivation for biodiesel production in terms of energy used compared to that obtained, the index EROEI (Energy Return On Energy Invested) has been used. At this aim, an experimental field was realised in the south-eastern Sicilian land. During the autumn-winter crop cycle, no irrigation was carried out and some suitable agricultural practices have been carried out taking into account the peculiarity of each type of used seeds. The total energy consumed for the cultivation of oil bearing crops from sowing to the production of biodiesel represents the Input of the process. In particular, this concerned the energy embodied in machinery and tools utilized, in seed, chemical fertilizer and herbicide but also the energy embodied in diesel fuels and lubricant oils. In addition, the energy consumption relating to machines and reagents required for the processes of extraction and transesterification of the vegetable oil into biodiesel have been calculated for each crops. The energy obtainable from biodiesel production, taking into account the energy used for seed pressing and for vegetable oil transesterification into biodiesel, represents the Output of the process. The ratio Output/Input gets the EROEI index which in the case of Camelina sativa and Linum usatissimum is greater than one. These results show that the cultivation of these crops for biofuels production is convenient in terms of energy return on energy investment. The EROEI index for Brassica carinata is lower than one. This could means that some factors, concerning mechanisation and climati

A combined thermodynamics and first principles study of the electronic, lattice and magnetic contributions to the magnetocaloric effect in La0.75Ca0.25MnO3

Manganites with the formula La1−x Ca x MnO3 for 0.2  <  x  <  0.5 undergo a magnetic field driven transition from a paramagnetic to ferromagnetic state, which is accompanied by changes in the lattice and electronic structure. An isotropic expansion of the La0.75Ca0.25MnO3 cell at the phase transition has been observed experimentally. It is expected that there will be a large entropy change at the transition due to its first order nature. Doped lanthanum manganite (LMO) is therefore of interest as the active component in a magnetocaloric cooling device. However, the maximum obtained value for the entropy change in Ca-doped manganites merely reaches a moderate value in the field of a permanent magnet. The present theoretical work aims to shed light on this discrepancy. A combination of finite temperature statistical mechanics and first principles theory is applied to determine individual contributions to the total entropy change of the system by treating the electronic, lattice and magnetic components independently. Hybrid-exchange density functional (B3LYP) calculations and Monte Carlo simulations are performed for La0.75Ca0.25MnO3. Through the analysis of individual entropy contributions, it is found that the electronic and lattice entropy changes oppose the magnetic entropy change. The results highlighted in the present work demonstrate how the electronic and vibrational entropy contributions can have a deleterious effect on the total entropy change and thus the potential cooling power of doped LMO in a magnetocaloric device