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Effective access control techniques are in demand, as electronically assisted healthcare services require the patient’s sensitive health records. In emergency situations, where the patient’s well-being is jeopardized, different healthcare actors associated with emergency cases should be granted permission to access Electronic Health Records (EHRs) of patients. The research objective of our study is to develop machine learning techniques based on patients’ time sequential health metrics and integrate them with an Attribute Based Access Control (ABAC) mechanism. We propose an ABAC mechanism that can yield access to sensitive EHRs systems by applying prognostic context handlers where contextual information, is used to identify emergency conditions and permit access to medical records. Specifically, we use patients’ recent health history to predict the health metrics for the next two hours by leveraging Long Short Term Memory (LSTM) Neural Networks (NNs). These predicted health metrics values are evaluated by our personalized fuzzy context handlers, to predict the criticality of patients’ status. The developed access control method provides secure access for emergency clinicians to sensitive information and simultaneously safeguards the patient’s well-being. Integrating this predictive mechanism with personalized context handlers proved to be a robust tool to enhance the performance of the access control mechanism to modern EHRs System.

ABSTRACTA novel design for a high temperature SOFC, based on lamellar electrode-electrolyte segments obtained by solidification of an oxidic eutectic melt on an electrolyte substrate is presented. Such “composite” electrodes contain NiO or MnO - 8Y-ZrO2 lamellae, which after reduction / oxidation yield electrode-electrolyte lamellae with 1–2 μm width and a vertical dimension of> 100 μm, depending upon the amount of eutectic melt solidified on a polycrystalline substrate. The nucleation of the eutectic on a polycrystalline substrate followed by a semi-directional crystallization of the two phases yields a gradient of 3-phase boundaries over the height of such an electrode, with the number of 3-phase boundaries increasing towards the substrate.

Coal will continue to be the main energy source in China for the immediate future, although the environmental pollution and ecological impacts of each stage in the full life cycle of coal mining, transportation, and combustion generate large quantities of external costs. The Late Permian coals in southwestern (SW) China usually contain high amounts of fluorine (F), arsenic (As), and ash, which together with high-F clays cause abnormally high levels of endemic fluorosis, As poisoning, and lung cancer in areas where coal is mined and burned. In this paper, we estimate the external costs of the life cycle of coal. The results show that the externalities of coal in SW China are estimated at USD 73.5 billion or 284.3 USD/t, which would have accounted for 6.5 % of the provincial GDP in this area in 2018. The external cost of human health accounts for 87.2% of the total external costs, of which endemic skeletal fluorosis diseases and related lung cancers have the most important impact. Our study provides a more precise estimate of externalities compared with its counterparts in other provinces in China. Therefore, several policy recommendations would be proposed to internalize the external cost.

Abstract Recently, the oxygen potential dependence of the signal of a potentiometric CO 2 sensor, based on a cation conductor with carbonate as gas sensitive layer, has been interpreted as caused by electronic transference through the electrolyte. Though this interpretation is quite correct, the relationships on the basis of which the effect of electronic conductivity has been discussed are wrong and so are the conclusions on the electronic conduction parameter of the electrolyte material under consideration, i.e. of the lithium ion conductor Li 3 PO 4 + SiO 2 (5 mol%). In what follows, the questionable points will be corrected and the role of the electronic conductivity for the understanding of the behaviour of a CO 2 sensor will be re-examined.

Diesel engine exhausts from a common rail 3.0 L F1C diesel engine were analyzed at two different load conditions of the WLTC testing cycle downstream of both the diesel particulate filter (DPF) and selective catalytic reactor (SCR) to verify their effect on the characteristics of carbon particulate matter. An array of chemical, physical and spectroscopic techniques (gas chromatography coupled with mass spectrometry (GC-MS), mobility analyzer, UV-Visible absorption and fluorescence spectroscopy) was applied for characterizing polycyclic aromatic hydrocarbons (PAH), heavy aromatic compounds and soot, constituting the particulate matter (PM) sampled from the exhaust. The engine was operated in half load (HL) (188 Nm, representing the more common condition for engine in urban traffic) and full load (FL) (452 Nm, representing the best performance of the engine operation) conditions, at the same engine speed (2000 rpm). Soot formation was enhanced in HL condition, with respect to FL, but, just because of the much lower soot amount, the after-treatment systems in this last condition resulted to be less efficient in the soot abatement. Indeed, the abatement through DPF was about 40% lower in the FL condition with respect to HL condition, and any significant further concentration decrease was found after SCR, in both conditions. By contrast, PAH concentration after DPF abatement was found to be higher in the HL with respect to FL condition. A further PAH concentration decrease of about 30% was found after the SCR in the HL condition whereas in FL the reduction was only about 5-6%. Also the heavy aromatic compounds having molecular weight above the GC-MS detection limit (300 u), were mitigated by SCR. Therefore, SCR did not cause a further soot reduction, whereas it was effective in largely reducing PAH and heavy aromatics emissions, especially in the lower temperature condition featuring the half-load condition, when combustion efficiency is worse. Moreover, SCR system reduced the emission of small particles probably due to an enhanced agglomeration of particles, with beneficial effect on the harmfulness to human health.

Supplementing the diet of ruminants with agro-industrial by-products is a common practice. In this study, we applied an untargeted lipidomics approach to study the changes in the milk lipid metabolite profiles linked to the addition of different doses of spent coffee grounds (SCG) to the diet of lactating goats. The carryover of caffeine from feed to milk was also studied. Compared to controls, the milk of goats on the SCG diet showed higher levels of cholesteryl esters, sphingomyelins, and phospholipids, while nonesterified fatty acids were downregulated. After 12 h from the last SCG dose, the carry-over of caffeine was, on average, 3%. Collectively, our results establish that SCG supplementation induces changes in the milk levels of complex lipid molecules and causes the transfer of caffeine and caffeine metabolites from feed to milk.

Abstract The purpose of this article is to analyse, in the humanitarian context, the key links between energy and food security, energy-related challenges faced by affected populations, current barriers to sustainable energy access, opportunities for addressing energy needs and existing gaps in current research on energy issues. Ensuring access to energy is a major challenge for some 3.1 billion people living in low- and middle-income countries, especially in remote and off-grid areas. Lack of safe, affordable and sustainable energy for cooking, heating, lighting and powering has cross-sectoral implications and is particularly constrained for the roughly 60 million people living in complex emergencies and protracted crisis. Some 80 percent of refugees and displaced people in camps have little access to energy entailing additional exposure to security risks, health hazards and restricted economic and education opportunities. Often people have no choice but to depend on biomass to meet their immediate energy needs. The traditional use of solid biomass and inefficient technologies for cooking, heating and other energy needs, can be harmful to their well-being and food security while being largely unsustainable. The consumption of safe, healthy and nutritious meals often depends on access to energy, allowing for proper preparation and utilisation of food. The inability for people to meet their energy needs for cooking may seriously affect food and nutrition security not only in terms of utilisation, but also has the potential to impair sustainable food systems. The humanitarian system is unable to face the energy challenge and increasing needs if current response measures are not improved. Actions and a substantial change in policy are needed, in order to significantly reduce the total number of people relying on solid fuels by 2030. This article will discuss how underlying barriers are contributing to inadequate access and use of energy and cooking technologies in humanitarian settings and the subsequent adverse impacts on people’s lives and environments. The projected effects of the current energy poverty crisis in humanitarian settings is discussed while some of the solutions to address energy needs, including examples based on innovative technologies and new mechanisms, are examined in general terms. Furthermore, the challenges, opportunities and future areas of interest associated with these technologies and mechanisms are also considered.

Redox flow batteries are promising devices for large-scale stationary energy storage.

Tin (Sn), antimony (Sb), as well as their intermetallic compound SnSb are potential high‐capacity negative electrodes for lithium‐ or sodium‐ion batteries. Starting from bulk Sn and Sb, the effect of ball milling in sodium‐ion half cells with a diglyme‐based electrolyte is studied. Nonreactive ball milling of Sn, Sb, and carbon leads to intimately mixed but largely phase‐separated composites (Sn + Sb) with electrochemical sodiation behavior being the sum of the individual phases. Thereby, Sb shows an unusual and rapid capacity fade in the chosen electrolyte which is unexpected, considering the usually excellent compatibility of diglyme‐based electrolytes with negative electrodes. Reactive ball milling of Sn and Sb using a planetary ball mill leads to the phase‐pure intermetallic compound β‐SnSb. Compared with Sn + Sb, SnSb shows excellent performance with a specific capacity exceeding 400 mAh g−1 after 190 cycles and a high rate capability (around 400 mAh g−1 at 5 C). Hence, herein, Sb is largely inactive as a pure phase but active when bound in the β‐SnSb intermetallic compound. Using in situ electrochemical dilatometry, the “breathing” of the electrodes during charging/discharging is minimized by optimizing ball‐milling time, which improves cycle life.