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Health services worldwide are seeking ways to improve patient care for amputees suffering from diabetes, and at the same time reduce costs. The monitoring of residual limb temperature, interface pressure and gait can be a useful indicator of tissue viability in lower limb amputees especially to predict the occurrence of pressure ulcers. This is further exacerbated by elevated temperatures and humid micro environment within the prosthesis which encourages the growth of bacteria and skin breakdown. Wearable systems for prosthetic users have to be designed such that the sensors are minimally obtrusive and reliable enough to faithfully record movement and physiological signals. A mobile sensor platform has been developed for use with the lower limb prosthetic users. This system uses an Arduino board that includes sensors for temperature, gait, orientation and pressure measurements. The platform transmits sensor data to a central health authority database server infrastructure through the Bluetooth protocol at a suitable sampling rate. The data-sets recorded using these systems are then processed using machine learning algorithms to extract clinically relevant information from the data. Where a sensor threshold is reached a warning signal can be sent wirelessly together with the relevant data to the patient and appropriate medical personnel. This knowledge is also useful in establishing biomarkers related to a possible deterioration in a patient’s health or for assessing the impact of clinical interventions.

Abstract A technique is presented whereby the performance of a microwave device is evaluated by mapping local field distributions using Lorentz transmission electron microscopy (L-TEM). We demonstrate the method by measuring the polarisation state of the electromagnetic fields produced by a microstrip waveguide as a function of its gigahertz operating frequency. The forward and backward propagating electromagnetic fields produced by the waveguide, in a specimen-free experiment, exert Lorentz forces on the propagating electron beam. Importantly, in addition to the mapping of dynamic fields, this novel method allows detection of effects of microwave fields on specimens, such as observing ferromagnetic materials at resonance.

Smart home barrier system is proposed and designed to keep people safe at home, especially for kids and pets. In this paper, working prototype of Internet of Things (IoT) enabled smart automatic door or barrier system is presented, where two models namely (i) monitoring model and (ii) actuated model can be switched to control access to the kitchen remotely by an online platform Ubidots. In experimental scenario, weight detection for monitoring model can measure from 0kg to 200kg with high precision. IoT environment enables door to be controlled remotely in real-time.

No abstract available.

Abstract Background To evaluate the association between weight misperception and psychological symptoms in the Determinants of young Adults Social well-being and Health (DASH) longitudinal study. Methods A longitudinal sample of 3227 adolescents, in 49 secondary schools in London, aged 11–16 years participated in 2002/2003 and were followed up in 2005/2006. A sub-sample (N = 595) was followed up again at ages 21–23 years in 2012/2013. An index of weight misperception was derived from weight perception and measured weight. Psychological well- being was measured using the Strengths and Difficulties Questionnaire at 11–16 years and the General Health Questionnaire at 21–23 years. Associations with weight misperception was assessed using regression models, adjusted for socio-economic and lifestyle factors. Results White British males and females were more likely than ethnic minority peers to report accurate perceptions of measured weight. At 11-13y, 46% females and 38% males did not have an accurate perception of their measured weight. The comparable figures at 14-16y were 42 and 40%. Compared with male adolescents, more females perceived themselves as overweight or were unsure of their weight but measured normal weight, and this was more pronounced among Indians, Pakistanis and Bangladeshis. At 14-16y, more males perceived themselves as underweight but measured normal weight, and this was more pronounced among Indians. Compared with those who had an accurate perception of their normal weight, a higher likelihood of probable clinically-relevant psychological symptoms was observed among those who measured normal weight but perceived themselves to be underweight (females Odds Ratio (OR) = 1.87 95% CI 1.03–3.40; males OR = 2.34 95% CI 1.47–3.71), overweight (females only OR = 2.06 95% CI 1.10–3.87), or unsure of their weight (males only OR = 1.61 95% CI 1.04–2.49). Among females, the association was driven by internalising rather than externalising symptoms. An accurate perception of overweight was associated with higher psychological symptoms in adolescence and early 20s. Ethnic specific effects were not evident. Conclusion Weight misperception may be an important determinant of psychological symptoms in young people, with an accurate perception of normal weight status being protective. Culturally targeted interventions should be considered to promote healthy perceptions of body image.

No abstract available.

We present results of the magnetic, structural and chemical characterizations of Mn⁺-implanted Si displaying <i>n</i>-type semiconducting behavior and ferromagnetic ordering with Curie temperature,T_C well above room temperature. The temperature-dependent magnetization measured by superconducting quantum device interference (SQUID) from 5 K to 800 K was characterized by three different critical temperatures (T*_C~45 K, T_C1~630-650 K and T_C2~805-825 K). Their origins were investigated using dynamic secondary mass ion spectroscopy (SIMS) and transmission electron microscopy (TEM) techniques, including electron energy loss spectroscopy (EELS), Z-contrast STEM (scanning TEM) imaging and electron diffraction. We provided direct evidences of the presence of a small amount of Fe and Cr impurities which were unintentionally doped into the samples together with the Mn⁺ ions, as well as the formation of Mn-rich precipitates embedded in a Mn-poor matrix. The observed T*_C is attributed to the Mn₄Si₇ precipitates identified by electron diffraction. Possible origins of and are also discussed. Our findings raise questions regarding the origin of the high ferromagnetism reported in many material systems without a careful chemical analysis.

Les théories les plus récentes de l’embodiment suggèrent qu’entendre des sons signifie percevoir un mouvement. À partir de ces théories, l’article développe une base théorique du théâtre musical expérimental en tant que théâtre des sons et mouvements. Les exemples étudiés sont extraits d’œuvres de John Cage, Mauricio Kagel, Gerardo Gandini et Damián Rodríguez Kees. Recent theories of embodied cognition suggest that hearing sounds means perceiving movement. On this basis, the article develops a theoretical basis for experimental music theatre as a theatre of sounds and movements. This is illustrated by discussions of works by John Cage, Mauricio Kagel, Gerardo Gandini and Damián Rodríguez Kees.

Urbanization in the global South has been accompanied by the proliferation of vast informal and marginalized urban areas that lack access to essential services and infrastructure. UN-Habitat estimates that close to a billion people currently live in these deprived and informal urban settlements, generally grouped under the term of urban slums. Two major knowledge gaps undermine the efforts to monitor progress towards the corresponding sustainable development goal (i.e. SDG 11-Sustainable Cities and Communities). First, the data available for cities worldwide is patchy and insufficient to differentiate between the diversity of urban areas with respect to their access to essential services and their specific infrastructure needs. Second, existing approaches used to map deprived areas (i.e. aggregated household data, Earth observation (EO), and community-driven data collection) are mostly siloed, and, individually, they often lack transferability and scalability and fail to include the opinions of different interest groups. In particular, EO-based-deprived area mapping approaches are mostly top-down, with very little attention given to ground information and interaction with urban communities and stakeholders. Existing top-down methods should be complemented with bottom-up approaches to produce routinely updated, accurate, and timely deprived area maps. In this review, we first assess the strengths and limitations of existing deprived area mapping methods. We then propose an Integrated Deprived Area Mapping System (IDeAMapS) framework that leverages the strengths of EO-and community-based approaches. The proposed framework offers a way forward to map deprived areas globally, routinely, and with maximum accuracy to support SDG 11 monitoring and the needs of different interest groups. info:eu-repo/semantics/published SCOPUS: re.j

In untargeted metabolomics approaches, the inability to structurally annotate relevant features and map them tobiochemical pathways is hampering the full exploitation of many metabolomics experiments. Furthermore, variable metaboliccontent across samples result in sparse feature matrices that are statistically hard to handle. Here, we introduce MS2LDA+ thattackles both above-mentioned problems. Previously, we presented MS2LDA, which extracts biochemically relevant molecularsubstructures (“Mass2Motifs”) from a collection of fragmentation spectra as sets of co-occurring molecular fragments and neutrallosses, thereby recognizing building blocks of metabolomics. Here, we extend MS2LDA to handle multiple metabolomicsexperiments in one analysis, resulting in MS2LDA+. By linking Mass2Motifs across samples, we expose the variability inprevalence of structurally related metabolite families. We validate the differential prevalence of substructures between two distinctsamples groups and apply it to fecal samples. Subsequently, within one sample group of urines, we rank the Mass2Motifs basedon their variance to assess whether xenobiotic-derived substructures are among the most-variant Mass2Motifs. Indeed, we couldascribe 22 out of the 30 most-variant Mass2Motifs to xenobiotic-derived substructures including paracetamol/acetaminophenmercapturate and dimethylpyrogallol. In total, we structurally characterized 101 Mass2Motifs with biochemically or chemicallyrelevant substructures. Finally, we combined the discovered metabolite families with full scan feature intensity information toobtain insight into core metabolites present in most samples and rare metabolites present in small subsets now linked throughtheir common substructures. We conclude that by biochemical grouping of metabolites across samples MS2LDA+ aids instructural annotation of metabolites and guides prioritization of analysis by using Mass2Motif prevalence.