Grand mission versus small OPS team: Can we have both?

Space Missions are growing more ambitious, but resources are getting smaller. Is this is a contradiction in terms, or is it a healthy challenge? This paper offers the author's point of view as a member of a small Mission Operations Team that carries out an ambitious international mission (Ulysses ESA/NASA)

Shared decision-making in trauma and emergency surgery settings. A literature review

Emergency teams are made up of professionals of different specialities, including emergency physicians, surgeons, anesthesiologists, and nurses. Such units are characterized by the need to face unexpected situations with little time to make clinical decisions. In trauma and emergency settings, clinicians must act in a coordinated way, ensuring, at the same time, proper knowledge transfer and sharing to reach the best possible result for the patient. While such dynamics must be explicit and clear within the team, involving the patient in the decision-making process may require additional tools and procedures. Indeed, the time to engage with the patient and the family to understand the patient’s wishes and treatment preferences may be limited or absent at all. While the so-called shared decision-making (SDM) stands as one of the pillars of the modern patient-centric healthcare scenario, knowledge translation and transfer dynamics may appear particularly challenging in emergency settings. Starting from an investigation of the recent literature on SDM, the paper presents a literature review of the barriers, facilitators, and knowledge translation dynamics of SDM in trauma and emergency surgery. Results assess the importance, tools, and dynamics of SDM processes

Novel bio-char characterization strategies and their use to study the chemical and morphological evolution of material derived from xylan, cellulose and lignin

In our poster we will present the deconvolution of Raman, X-ray Photoelectron, and Nuclear Magnetic Resonance spectra of bio-chars. To support this work, spectra calculated for a wide variety of polyaromatic structures have been examined using density functional theory. Based on the modeling results a new fitting and interpretation procedure for Raman spectra of chars has been proposed. This method identifies out of plane deformation, 5 membered ring systems, 7 + membered ring systems and heteroatom inclusions, in addition to monitoring the cluster size of aromatic domains. Please click on the file below for full content of the abstract

Influence of cultivation conditions on the bioenergy potential and bio-compounds of Chlorella vulgaris

This study aims to evaluate the influence of cultivation conditions on the bioenergy and high value biocompounds contents of Chlorella vulgaris. Results show that the use of nitrate rich media, from 170.7 mg/L, favors a faster biomass growth, reaching values above 800 mg/L biomass. In addition, it favors higher pigments concentrations with more emphasis for the cultures with a nitrate concentration of 569 mg/L, where chlorophyll-a and carotenoids reached maximum concentrations of 6 and 2 mg/L, respectively. As regards the lipid content, nitrate deprivation (<28.4 mg/L) favors the accumulation of lipid content by microalgae (around 42%). The use of media with lower iron concentrations (0.5 mg/L) was favorable for obtaining biomass with higher concentrations of chlorophyll-a, at an initial stage, with values varying from 0.2 to 0.6 mg/L. In the tests carried out under mixotrophic conditions (addition of glucose), it was observed that contamination occurred in all the cultures, possibly due to the high concentration of carbon source that had values between 0.5 and 1.5 g/L of glucose, and consequently, growth decreased.Authors thank the financial support of the project IF/01093/2014/CP1249/CT0003 and research grants IF/01093/2014 and SFRH/BPD/112003/2015 funded by national funds through FCT/MCTES, and project UID/EQU/00305/2013 – Center for Innovation in Engineering and Industrial Technology – CIETI. This work was financially supported by: project UID/EQU/00511/2019 – Laboratory for Process Engineering, Environment, Biotechnology and Energy – LEPABE funded by national funds through FCT/MCTES (PIDDAC); Project POCI-01-0145-FEDER-006939 (Laboratory for Process Engineering, Environment, Biotechnology and Energy — LEPABE, UID/EQU/00511/2013) funded by FEDER through COMPETE2020-POCI and by national funds through FCT; Project “LEPABE-2-ECO-INNOVATION” — NORTE-01-0145-FEDER-000005, funded by Norte Portugal Regional Operational Programme (NORTE 2020), under PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF).info:eu-repo/semantics/publishedVersio

Renal transplant dysfunction—importance quantified in comparison with traditional risk factors for cardiovascular disease and mortality

Background. Renal transplant recipients (RTR) mainly die of premature cardiovascular disease. Traditional cardiovascular disease risk factors are prevalent in RTR. Additionally, non-traditional risk factors seem to contribute to the high risk. The impact of renal dysfunction was compared with traditional risk factors for cardiovascular morbidity and mortality in 1052 placebo-treated patients of the ALERT trial. Methods. All patients were on cyclosporine-based immunosuppressive therapy, follow-up was 5-6 years and captured endpoints included cardiac death, non-cardiovascular death, all-cause mortality, major adverse cardiac event (MACE), non-fatal myocardial infarction (MI) and stroke. Results. A calculated 84 µmol/l increase in serum creatinine was needed to double the risk for cardiac death, an increase of 104 µmol/l to double the risk for non-cardiovascular death and an increase of 92 µmol/l to double the risk for all-cause mortality. MACE risk was doubled if serum creatinine was elevated by 141 µmol/l, age was increased by 23 years, or LDL-cholesterol by 2 mmol/l. Diabetes increased the incidences of cardiac death, all-cause mortality, MACE, stroke and non-fatal MI. A serum creatinine increase of ∼130 µmol/l, or ∼20 years increase in age was calculated as similar in risk for cardiac death, all-cause mortality and MACE, and comparable to risk of diabetes in RTR. Conclusion. An increase in serum creatinine of 80-100 µmol/l doubles the risk for cardiac death, non-cardiovascular death and all-cause mortality in RTR. An increase of 130 µmol/l in serum creatinine or ∼20 years increase in age is comparable to risk of diabete

Characterization of in vitro antioxidant, antitumor and anti-inflammatory properties of plant species from Rosaceae family

Since ancient times, humans have employed different plant species to prepare traditional remedies and treat diseases, due to the health-promoting effects associated with these plants. Among them, several species belonging to the Rosaceae family, namely Agrimonia eupatoria L., Filipendula ulmaria (L.) Maxim. and Rosa canina L., which have been used in different preparations, like infusions, decoctions or tinctures, to treat diverse illnesses and diseases [1]. Nowadays, the search for natural derived ingredients has prompted the study of these traditional plants. The present work aimed to evaluate the biological properties of the above-mentioned Rosaceae species, in order to promote their applications in different sectors. Antioxidant activity was evaluated by different in vitro assays: 2,2-diphenylpycrilhydrazyl (DPPH) radical scavenging assay, thiobarbituric acid reactive substances (TBARS) assay for inhibition of lipid peroxidation, OxHLIA assay for inhibition of oxidative hemolysis, and reducing power determination. Antitumor activity was tested against four tumor cell lines: MCF-7, CaCo, AGS and NCI-H460. Finally, anti-inflammatory activity was assessed by the inhibition of inflammation on lipopolysaccharide-induced RAW264.7 murine macrophages. Considering the results, all plant extracts showed antioxidant effects in the tested assays, especially F. ulmaria. All tested extracts also displayed relevant antitumor effects against the four tested tumor cell lines, mostly F. ulmaria, which exhibited the lowest growth inhibition 50 values (GI50) ranging from 34 to 86 μg/mL of extract, presenting a noteworthy cytotoxic effect. Finally, R. canina showed significant anti-inflammatory effects, with effective concentration 50 values (EC50) of 20 μg/mL of extract. Therefore, the studied plants may be considered as promising natural sources of bioactive compounds with multifunctional biological properties for the development of several biobased applications.The research leading to these results was supported by MICINN supporting the Ramón y Cajal grant for M.A. Prieto (RYC-2017-22891) and the Juan de la Cierva Formación grant for T. Oludemi (FJC2019-042549-I), by Xunta de Galicia for supporting the program EXCELENCIA-ED431F 2020/12, the pre-doctoral grant of P. Garcia-Oliveira (ED481A-2019/295) and the program Grupos de Referencia Competitiva (GRUPO AA1-GRC 2018) that supports the work of M. Barral-Martinez. Authors are grateful to Ibero-American Program on Science and Technology (CYTED—AQUA-CIBUS, P317RT0003), to the Bio Based Industries Joint Undertaking (JU) under grant agreement No 888003 UP4HEALTH Project (H2020-BBI-JTI-2019) that supports the work of P. Garcia-Perez. The JU receives support from the European Union‘s Horizon 2020 research and innovation program and the Bio Based Industries Consortium. The project SYSTEMIC Knowledge hub on Nutrition and Food Security, has received funding from national research funding parties in Belgium (FWO), France (INRA), Germany (BLE), Italy (MIPAAF), Latvia (IZM), Norway (RCN), Portugal (FCT), and Spain (AEI) in a joint action of JPI HDHL, JPI-OCEANS and FACCE-JPI launched in 2019 under the ERA-NET ERA-HDHL (n° 696295). Authors are also grateful to Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES to the CIMO (UIDB/00690/2020).info:eu-repo/semantics/publishedVersio

Towards a knowledge-based approach for effective decision making in railway safety

Purpose – This paper aims to contribute towards understanding how safety knowledge can be elicited from railway experts for the purposes of supporting effective decision-making. Design/methodology/approach – A consortium of safety experts from across the British railway industry is formed. Collaborative modelling of the knowledge domain is used as an approach to the elicitation of safety knowledge from experts. From this, a series of knowledge models is derived to inform decision-making. This is achieved by using Bayesian networks as a knowledge modelling scheme, underpinning a Safety Prognosis tool to serve meaningful prognostics information and visualise such information to predict safety violations. Findings – Collaborative modelling of safety-critical knowledge is a valid approach to knowledge elicitation and its sharing across the railway industry. This approach overcomes some of the key limitations of existing approaches to knowledge elicitation. Such models become an effective tool for prediction of safety cases by using railway data. This is demonstrated using passenger–train interaction safety data. Practical implications – This study contributes to practice in two main directions: by documenting an effective approach to knowledge elicitation and knowledge sharing, while also helping the transport industry to understand safety. Social implications – By supporting the railway industry in their efforts to understand safety, this research has the potential to benefit railway passengers, staff and communities in general, which is a priority for the transport sector. Originality/value – This research applies a knowledge elicitation approach to understanding safety based on collaborative modelling, which is a novel approach in the context of transport. </jats:sec