Smart city simulator "phase two" : the wheelchair challenge

Many Smart City infrastructures are physical models or Lego models that are static and difficult to scale. Other existing Smart City concepts have not taken wheelchair users and their needs into account. Oslo Metropolitan University (OsloMet), in cooperation with Oracle, assigned a project which sought to address these issues to a group from the European Project Semester. We are five international students trying to create a 3D- Simulation of a Smart City with Unity software to solve space and mobility problems. The main part of this task was to create a wheelchair accessible Smart City, which can be presented and visualized by a simulation. Right at the beginning of the project, we decided to focus not only on wheelchair users but on all kinds of physical limitations: blindness, deafness, mobility difficulties, old, young, and pregnant women. We analyzed existing concepts, asked why it is more important than ever to develop Smart City models, and make existing cities smarter. We also looked at what needs to be improved in cities in general, especially to make life easier for people with disabilities. We exchanged ideas with organizations that helped us to learn more about the everyday life of people with disabilities, we also exchanged ideas with companies that are already actively working on making cities smarter and last but not least we looked at the innovations in Oslo that are trying to make this city smarter. Based on our results and with the help of Proxima Lego City, a Lego model built by Oracle, we made a questionnaire to ask the participants what belongs in a smart city and what challenges specifically the participants with disabilities have in their everyday life in cities. After the research, the questionnaire, and the exchange with organizations and companies, we decided to create a Smart City in Universal Design, which is accessible for everyone and can be presented and experienced through a simulation. We implemented an electric autonomous public transport system, a smart trash system, a smart parking system and a smart lighting system. We also developed an app, especially adapted to our simulation, that makes the simulation appear even more real. With the help of real-time data, the app shows the advantages of a Smart City, and it also shows the advantage of having an app specifically adapted for the Smart City.Grado en Ingeniería en Electrónica Industrial y Automátic

Introduction to EMP-E 2019 special issue “Modelling the implementation of ‘A Clean Planet for All’ strategy”

| openaire: EC/H2020/691739/EU//REEEMNon peer reviewe

Composite biomaterials as long-lasting scaffolds for 3D bioprinting of highly aligned muscle tissue

New biocompatible materials have enabled the direct 3D printing of complex functional living tissues, such as skeletal and cardiac muscle. Gelatinmethacryloyl (GelMA) is a photopolymerizable hydrogel composed of natural gelatin functionalized with methacrylic anhydride. However, it is difficult to obtain a single hydrogel that meets all the desirable properties for tissue engineering. In particular, GelMA hydrogels lack versatility in their mechanical properties and lasting 3D structures. In this work, a library of composite biomaterials to obtain versatile, lasting, and mechanically tunable scaffolds are presented. Two polysaccharides, alginate and carboxymethyl cellulose chemically functionalized with methacrylic anhydride, and a synthetic material, such as poly(ethylene glycol) diacrylate are combined with GelMA to obtain photopolymerizable hydrogel blends. Physical properties of the obtained composite hydrogels are screened and optimized for the growth and development of skeletal muscle fibers from C2C12 murine cells, and compared with pristine GelMA. All these composites show high resistance to degradation maintaining the 3D structure with high fidelity over several weeks. Altogether, in this study a library of biocompatible novel and totally versatile composite biomaterials are developed and characterized, with tunable mechanical properties that give structure and support myotube formation and alignment

Adaptive threshold PCA for fault detection and isolation

Fault diagnosis is an important issue in industrial processes to avoid economic losses, process damage, and to guarantee safe working conditions for the operators. For high scale industrial processes the data-driven based methods are the best solution for process monitoring and fault diagnosis. Thus, in this paper, the principal component analysis is shown to detect and isolate faults. Also, a dynamic threshold is implemented to avoid false alarms because incipient faults are difficult to be detected. As a case of study, the Tennessee Eastman (TE) process is used to apply this strategy because the interaction among five units with internal control loops makes difficult to have an approached model. As results are shown the detection times, for cases where were analyzed incipient faults, the time required for fault detection must be improved, in this work, an adaptive threshold was used to reduce the false alarms but it also increases the detection times. It was concluded that the Q chart gave a better result for fault detection; the isolation times were similar to the detection ones. Two incipient faults could not be detected, the fault detection rate was similar to the shown in literature, but the detection times were better in 35% of the cases, unfortunately for four faults the detection times were bigger than the reported in other papers. It is proposed to help this method with independent component analysis due it is not guaranteed to have a Gaussian distribution in the samples

Neuropathic post-COVID pain symptomatology is not associated with serological biomarkers at hospital admission and hospitalization treatment in COVID-19 survivors

OBJECTIVE: Evidence suggests that individuals who had survived to coronavirus disease, 2019 (COVID-19) could develop neuropathic post-COVID pain. This study investigated the association of serological biomarkers and treatments received during hospitalization with development of neuropathic-associated symptoms.METHODS: One hundred and eighty-three (n = 183) previously hospitalized COVID-19 survivors during the first wave of the pandemic were assessed in a face-to-face interview 9.4 months after hospitalization. Nineteen serological biomarkers, hospitalization data, and treatment during hospitalization were obtained from medical records. Neuropathic pain symptoms (Self-Report Leeds Assessment of Neuropathic Scale), sleep quality (Pittsburgh Sleep Quality Index), pain catastrophizing (Pain Catastrophizing Scale) and anxiety/depressive levels (Hospital Anxiety and Depression Scale) were assessed.RESULTS: The prevalence of post-COVID pain was 40.9% (n = 75). Fifteen (20%) patients reported neuropathic symptoms. Overall, no differences in hospitalization data and serological biomarkers were identified according to the presence or not of neuropathic-associated symptoms. Patients with post-COVID pain had the highest neutrophil count, and post hoc analysis revealed that patients with neuropathic post-COVID associated symptoms had lower neutrophil count (p = 0.04) compared with those without neuropathic pain, but differences were small and possible not clinically relevant. No differences in fatigue, dyspnea, brain fog, anxiety or depressive levels, poor sleep, or pain catastrophism between patients with and without neuropathic symptoms were found.CONCLUSION: It seems that neuropathic-like post-COVID pain symptoms are not associated with neither of assessed serological biomarkers at hospital admission nor hospitalization treatments received in this cohort of hospitalized COVID-19 survivors.</p

Neuropathic post-COVID pain symptomatology is not associated with serological biomarkers at hospital admission and hospitalization treatment in COVID-19 survivors

ObjectiveEvidence suggests that individuals who had survived to coronavirus disease, 2019 (COVID-19) could develop neuropathic post-COVID pain. This study investigated the association of serological biomarkers and treatments received during hospitalization with development of neuropathic-associated symptoms.MethodsOne hundred and eighty-three (n = 183) previously hospitalized COVID-19 survivors during the first wave of the pandemic were assessed in a face-to-face interview 9.4 months after hospitalization. Nineteen serological biomarkers, hospitalization data, and treatment during hospitalization were obtained from medical records. Neuropathic pain symptoms (Self-Report Leeds Assessment of Neuropathic Scale), sleep quality (Pittsburgh Sleep Quality Index), pain catastrophizing (Pain Catastrophizing Scale) and anxiety/depressive levels (Hospital Anxiety and Depression Scale) were assessed.ResultsThe prevalence of post-COVID pain was 40.9% (n = 75). Fifteen (20%) patients reported neuropathic symptoms. Overall, no differences in hospitalization data and serological biomarkers were identified according to the presence or not of neuropathic-associated symptoms. Patients with post-COVID pain had the highest neutrophil count, and post hoc analysis revealed that patients with neuropathic post-COVID associated symptoms had lower neutrophil count (p = 0.04) compared with those without neuropathic pain, but differences were small and possible not clinically relevant. No differences in fatigue, dyspnea, brain fog, anxiety or depressive levels, poor sleep, or pain catastrophism between patients with and without neuropathic symptoms were found.ConclusionIt seems that neuropathic-like post-COVID pain symptoms are not associated with neither of assessed serological biomarkers at hospital admission nor hospitalization treatments received in this cohort of hospitalized COVID-19 survivors

Specialized proresolving mediators protect against experimental autoimmune myocarditis by modulating Ca2+ handling and NRF2 activation

Preclinical research[Abstract] Specialized proresolving mediators and, in particular, 5(S), (6)R, 7-trihydroxyheptanoic acid methyl ester (BML-111) emerge as new therapeutic tools to prevent cardiac dysfunction and deleterious cardiac damage associated with myocarditis progression. The cardioprotective role of BML-111 is mainly caused by the prevention of increased oxidative stress and nuclear factor erythroid-derived 2-like 2 (NRF2) down-regulation induced by myocarditis. At the molecular level, BML-111 activates NRF2 signaling, which prevents sarcoplasmic reticulum–adenosine triphosphatase 2A down-regulation and Ca2+ mishandling, and attenuates the cardiac dysfunction and tissue damage induced by myocarditis.Ministerio de Economía y Competitividad (España); SAF-2017-84777RInstituto de Salud Carlos III; PI17/01093Instituto de Salud Carlos III; PI17/01344Instituto de Salud Carlos III; PI20/01482Ministerio de Ciencia, Innovación y Universidades (España); PGC2018-097019-B-I00Ministerio de Economía, Industria y Competitividad (España); 10.13039/501100011033Ministerio de Industria, Economía y Competitividad; PID2020-113238RB-I00Ministerio de Industria, Economía y Competitividad (España); PID2019-105600RB-I00Fundación La Caixa; HR17-0024

Constraints on the χ_(c1) versus χ_(c2) polarizations in proton-proton collisions at √s = 8 TeV

The polarizations of promptly produced χ_(c1) and χ_(c2) mesons are studied using data collected by the CMS experiment at the LHC, in proton-proton collisions at √s=8  TeV. The χ_c states are reconstructed via their radiative decays χ_c → J/ψγ, with the photons being measured through conversions to e⁺e⁻, which allows the two states to be well resolved. The polarizations are measured in the helicity frame, through the analysis of the χ_(c2) to χ_(c1) yield ratio as a function of the polar or azimuthal angle of the positive muon emitted in the J/ψ → μ⁺μ⁻ decay, in three bins of J/ψ transverse momentum. While no differences are seen between the two states in terms of azimuthal decay angle distributions, they are observed to have significantly different polar anisotropies. The measurement favors a scenario where at least one of the two states is strongly polarized along the helicity quantization axis, in agreement with nonrelativistic quantum chromodynamics predictions. This is the first measurement of significantly polarized quarkonia produced at high transverse momentum