Межличностные отношения — связывающая структура в системе управления

Hybrid-electric vehicles (HEVs) and battery-electric vehicles (BEVs) are currently more expensive than conventional passenger cars but may become cheaper due to technological learning. Here, we obtain insight into the prospects of future price decline by establishing ex-post learning rates for HEVs and ex-ante price forecasts for HEVs and BEVs. Since 1997, HEVs have shown a robust decline in their price and price differential at learning rates of 7 ± 2% and 23 ± 5%, respectively. By 2010, HEVs were only 31 ± 22 €2010 kW-1 more expensive than conventional cars. Mass-produced BEVs are currently introduced into the market at prices of 479 ± 171 €2010 kW-1, which is 285 ± 213 €2010 kW-1 and 316 ± 209 €2010 kW-1 more expensive than HEVs and conventional cars. Our forecast suggests that price breakeven with these vehicles may only be achieved by 2026 and 2032, when 50 and 80 million BEVs, respectively, would have been produced worldwide. We estimate that BEVs may require until then global learning investments of 100–150 billion € which is less than the global subsidies for fossil fuel consumption paid in 2009. These findings suggest that HEVs, including plug-in HEVs, could become the dominant vehicle technology in the next two decades, while BEVs may require long-term policy support

Assessment of antimicrobial activity of textiles for wound dressing: methodology optimization

Normally, the skin is capable of restore the tissue integrity, after wound injury. However, the deposition of bacteria on the wound site results on infection causing pain and healing delay. To control bacteria proliferation, antimicrobial textiles have been developed, and the assessment of their activity is a required step. Although, several standard methods were published to assess textiles antimicrobial activity, they are time and material consuming and have some shortcomings with regard to the real conditions of use. Therefore, the aim of this work was to optimize the method described on JIS L 1902:2008-Testing for antibacterial activity and efficacy on textile products, the most commonly used standard. Two textile samples were used: A-cotton without treatment (control) and B-cotton with 10% of the recommend concentration of Ruco-bac AGP. The microorganism used was Staphylococcus aureus-ATCC 6538. The first improvement was sample size. On the qualitative method, square samples with 1x1cm2 were used instead 2.5x2.5cm2 (suggested by the standard). For sample A no antimicrobial activity was observed and for sample B the halo size was similar for both sizes used. For the quantitative method, the samples used had 0.4g (standard suggestion) and 0.1g. Sample A had the same bacterial growth before and after contact with the fabric and sample B had no bacterial growth. With this improvement, the amount of sample and solutions need for the test was reduced four times. To reduce the use of disposable material, instead of 50mL falcons, 6 well plates were used. In this case, no bacteria were recovered from the sample A after incubation period on 6 well plates. These means, that the centrifugation is a crucial step to detach all bacteria from the fabric. The effect of the bacterial inoculum volume was also assessed. Three inoculum volumes (250, 100 and 50µL) were added to 0,1g samples. No significant differences were observed for both samples. A healthy skin has 105bacteria/cm2 and up to this value it is considered that the skin is infected. Therefore, 3 inoculum concentrations were tested-3x105, 3x106, 3x107cell/mL. The results showed that the inoculum concentration had no significant changes for both samples after the incubation period. In conclusion, it is possible to use samples 4 times smaller than the standard suggestion, use higher inoculum volume to simulate wound exudate and higher concentration, to accurately predict the sample behaviour on an infected skin

Application of data augmentation techniques towards metabolomics

Niemann–Pick Class 1 (NPC1) disease is a rare and debilitating neurodegenerative lysosomal storage disease (LSD). Metabolomics datasets of NPC1 patients available to perform this type of analysis are often limited in the number of samples and severely unbalanced. In order to improve the predictive capability and identify new biomarkers in an NPC1 disease urinary dataset, data augmentation (DA) techniques based on computational intelligence have been employed to create synthetic samples, i.e. the addition of noise, oversampling techniques and conditional generative adversarial networks. These techniques have been used to evaluate their predictive capacities on a set of urine samples donated by 13 untreated NPC1 disease and 47 heterozygous (parental) carrier control participants. Results on the prediction have also been obtained using different machine learning classification models and the partial least squares techniques. These results provide strong evidence for the ability of DA techniques to generate good quality synthetic data. Results acquired show increases in sensitivity of 20%–50%, an F1 score of 6%–30%, and a predictive capacity of 0.3 (out of 1). Additionally, more conventional forms of multivariate data analysis have been employed. These have allowed the detection of unusual urinary metabolite profiles, and the identification of biomarkers through the use of synthetically augmented datasets. Results indicate that urinary branched-chain amino acids such as valine, 3-aminoisobutyrate and quinolinate, may be employable as valuable biomarkers for the diagnosis and prognostic monitoring of NPC1 diseaseThe authors acknowledge the support from MINECO (Spain) through grants TIN2017-88728-C2-1-R and PID2020-116898RB-I00 (MICINN), from Universidad de Málaga y Junta de Andalucía through grant UMA20-FEDERJA-045, and from Instituto de Investigación Biomédica de Málaga – IBIMA (all including FEDER funds). Funding for open access charge: Universidad de Málaga / CBUA

Methods Publication.

open access articleOver 100 years of scientific literature is available which describes the long relationship between dentistry and the many possible applications of fluoride anion (F−) as successful therapeutic strategies. To date, systemic introduction of fluoride via water, milk and salt fluoridation, and fluoride-containing tablets, has been employed. Post-eruption topical fluoride products have also been introduced, such as fluoridated toothpaste, along with fluoride-containing rinses and varnishes. Importantly, a recent addition to the available armamentarium of fluoride therapeutics now exists in the form of metal ion-fluorido adducts, most especially silver(I)-diammine fluoride (SDF). In view of its high level of therapeutic success, very recently this agent was added to the World Health Authority's (WHO's) list of essential medicines available for the treatment and prevention of tooth decay. Overall, this current state of affairs merits a major review of all these fluoride-containing therapeutic compounds, together with their risks and benefits, both individually and collectively. In this study, a simple graphical tool has been developed for the rapid “on-site” evaluation of fluoride intake with respect to a range of oral healthcare products and body mass index is presented as a gauge of safety for the risk of fluoride toxicity in individual patients. This exposition commences with (a) an account of the history and value of fluoride therapeutics in clinical dentistry, including applications of monofluorophosphate and stannous fluoride; (b) an evaluation of the toxicological activities of fluoride, together with a summary of any reports, albeit very rare ones, arising from its clinically-driven overuse; (c) a history of the development, molecular structure, mechanisms of action, and therapeutic applications of SDF, including a summary of any possible toxic activities and effects arising from silver(I) ion rather than fluoride itself; and (d) the establishment of a working relationship between fluoride exposure and toxicity, with special reference to the instigation of newly-developed tabular/graphical reference guidelines for use by dental clinicians who employ fluoride-rich products in their practices. Particular attention is given to the oral care and treatment options of pediatric patients. In conclusion, applications of this unique monitoring tool may serve as a valuable toxicity guide for dental practitioners

Severe hypertension in elapid envenomation.

Snakebite is not an uncommon medical emergency in India; however, symptoms of autonomic dysfunction in snakebite are rare. The elapid snake envenomation is a frequent occurrence in India, and the krait bite is prevalent in the south Indian region. Here, we present three cases of snakebite with severe hypertension and requiring intravenous nitroglycerin (NTG). As the level of blood pressure (BP) decreased significantly following antisnake venom (ASV) injection in all three cases, it is likely that snake venom-induced dysautonomia might have contributed to severe hypertension in such patients. Clinical and therapeutic challenges of these cases are highlighted, so that practitioners coping with medical emergencies in resource-limited situations can consider snake (krait) bite in the differential diagnosis, and also manage effectively according to corroborative clinical evidences

Computational intelligence techniques in medicine

El advenimiento de la Era de la Información, también conocida como la Era Digital, ha realizado un profundo impacto en las ciencias de la salud. Vastas cantidades de conjuntos de datos fluyen ahora a través de los diferentes estratos de las organizaciones sanitarias, y existe un requisito importante para extraer el conocimiento y emplearlo en la mejora de estos centros en todos los aspectos. Los sistemas informáticos inteligentes proporcionan apoyo a los profesionales de la salud implicados tanto en los contextos médicos como administrativos. Entre estos sistemas, métodos de inteligencia computacional han adquirido una creciente popularidad, dada su capacidad para hacer frente a grandes cantidades de datos clínicos e información precisa.El fin de esta edición especial es ofrecer una amplia visión de este apasionante campo, cuya creciente importancia es impulsada por el aumento de la disponibilidad de datos y sus potenciales de cálculo. The advent of the information age, also commonly known as the digital age, has made a profound impact on health sciences. Vast amounts of datasets now flow through the different stages of healthcare organizations, and there is a major requirement to extract knowledge and employ it to improve these centres in all respects. Intelligent computer systems provide support to health professionals involved both in the medical and managerial contexts. Amongst these systems, computational intelligence approaches have gained increasing popularity given their ability to cope with large amounts of clinical data and uncertain information. Thegoal of this special issue is to offer a broad view of this exciting field, the ever-growing importance of which is driven by the increasing availability of data and computational power.peerReviewe

Potential Adverse Public Health Effects Afforded by the Ingestion of Dietary Lipid Oxidation Product Toxins: Significance of Fried Food Sources

open access articleExposure of polyunsaturated fatty acid (PUFA)-rich culinary oils (COs) to high temperature frying practices generates high concentrations of cytotoxic and genotoxic lipid oxidation products (LOPs) via oxygen-fueled, recycling peroxidative bursts. These toxins, including aldehydes and epoxy-fatty acids, readily penetrate into fried foods and hence are available for human consumption; therefore, they may pose substantial health hazards. Although previous reports have claimed health benefits offered by the use of PUFA-laden COs for frying purposes, these may be erroneous in view of their failure to consider the negating adverse public health threats presented by food-transferable LOPs therein. When absorbed from the gastrointestinal (GI) system into the systemic circulation, such LOPs may significantly contribute to enhanced risks of chronic non-communicable diseases (NCDs), e.g. , cancer, along with cardiovascular and neurological diseases. Herein, we provide a comprehensive rationale relating to the public health threats posed by the dietary ingestion of LOPs in fried foods. We begin with an introduction to sequential lipid peroxidation processes, describing the noxious effects of LOP toxins generated therefrom. We continue to discuss GI system interactions, the metabolism and biotransformation of primary lipid hydroperoxide LOPs and their secondary products, and the toxicological properties of these agents, prior to providing a narrative on chemically-reactive, secondary aldehydic LOPs available for human ingestion. In view of a range of previous studies focused on their deleterious health effects in animal and cellular model systems, some emphasis is placed on the physiological fate of the more prevalent and toxic α,β-unsaturated aldehydes. We conclude with a description of targeted nutritional and interventional strategies, whilst highlighting the urgent and unmet clinical need for nutritional and epidemiological trials probing relationships between the incidence of NCDs, and the frequency and estimated quantities of dietary LOP intake

Characterisation of Actions of p-menthane-3,8 diol (PMD) Repellent Formulations against Aedes aegypti mosquitoes

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Background Characterisation of mosquito repellents using arm-in-cage tests are performed by assessing the ED95, half-life and complete protection times (CPT). This study fully characterises p-menthane-3,8 diol PMD which has not been widely studied, and a long-acting formulation containing a PMD-vanillin composite. Method A series of arm in cage tests against Aedes aegypti aegypti (Dipera-Culicidae) strain mosquitoes were devised using 6 volunteers to estimate CPT or 10 to estimate the effective dose (ED95) and half-life for three repellents: 20% DEET, 30% PMD and a novel 30% PMD-vanillin formulation. Non-linear Regression analysis was used to characterise the relationship between applied dose and CPT. were also estimated Results PMD and DEET showed a very similar log dose relationship to CPT; however, the PMD-vanillin formulation exhibited a sigmoidal ‘S-shape’ relationship. This resulted in a 1.5 times higher CPT for PMD-vanillin compared to that of 20% DEET when applied at a dose of 1.6mg/cm2, but little difference at lower doses of 0.8-1mg/cm2. The ED95 value for the 30% PMD and PMD-vanillin formulations were 0.25 and 0.24 mg/cm2 respectively, these being higher than that for 20% DEET (0.09 mg/cm2). The half-lives for 30% PMD and 20% DEET were similar (2.23 vs. 2.74 hrs.), but longer for the PMD-vanillin formulations (3.8 hrs.). Conclusion Such a full characterisation for other repellent formulations, particularly those claiming extended longevity, should be conducted in order to identify differences at various applied doses