Author: "van Vliet, A." / Database: OpenAIRE - Searchworks@Jio Institute Digital Library Search Results

9,952 results on '"van Vliet, A."'

1. Investing in Deflation, Inflation, and Stagflation Regimes

Author: Guido Baltussen, Laurens Swinkels, Bart van Vliet, and Pim van Vliet
Subjects: Economics and Econometrics, Accounting, Finance
Published: 2023

2. The impact of COVID-19 related adversity on the course of mental health during the pandemic and the role of protective factors

Author: Holwerda, Tjalling J., Jaarsma, Eva, van Zutphen, Elisabeth M., Beekman, Aartjan T. F., Pan, Kuan-Yu, van Vliet, Majogé, Stringa, Najada, van den Besselaar, Judith H., MacNeil-Vroomen, Janet L., Hoogendijk, Emiel O., Kok, Almar A. L., APH - Aging & Later Life, Geriatrics, APH - Methodology, Epidemiology and Data Science, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, and APH - Quality of Care
Subjects: Psychiatry and Mental health, Health (social science), Social Psychology, Resilience, Epidemiology, Depression, Loneliness, COVID-19, Mental health, Anxiety
Abstract: Purpose Many studies report about risk factors associated with adverse changes in mental health during the COVID-19 pandemic while few studies report about protective and buffering factors, especially in older adults. We present an observational study to assess protective and buffering factors against COVID-19 related adverse mental health changes in older adults. Methods 899 older adults (55 +) in the Netherlands were followed from 2018/19 to two pandemic time points (June–October 2020 and March–August 2021). Questionnaires included exposure to pandemic-related adversities (“COVID-19 exposure”), depressive and anxiety symptoms, loneliness, and pre-pandemic functioning. Linear regression analyses estimated main effects of COVID-19 exposure and protective factors on mental health changes; interaction effects were tested to identify buffering factors. Results Compared to pre-pandemic, anxiety symptoms, depression symptoms and loneliness increased. A higher score on the COVID-19 adversity index was associated with stronger negative mental health changes. Main effects: internet use and high mastery decreased depressive symptoms; a larger network decreased anxiety symptoms; female gender, larger network size and praying decreased loneliness. COVID-19 vaccination buffered against COVID-19 exposure-induced anxiety and loneliness, a partner buffered against COVID-19 exposure induced loneliness. Conclusion Exposure to COVID-19 adversity had a cumulative negative impact on mental health. Improving coping, finding meaning, stimulating existing religious and spiritual resources, network interventions and stimulating internet use may enable older adults to maintain mental health during events with large societal impact, yet these factors appear protective regardless of exposure to specific adversities. COVID-19 vaccination had a positive effect on mental health.
Published: 2023

3. Business-IT alignment as a coevolution process

Author: Amarilli, Fabrizio, van den Hooff, Bart, and van Vliet, Mario
Subjects: Business-IT alignment, Socio-technical systems, System dynamics, Coevolution theory
Abstract: In this paper, we provide a detailed insight into the complex coevolution dynamics that shape the alignment process by analyzing how different mechanisms and factors are mutually related in complex networks of feedback loops. We combine insights from the literature on alignment as a (coevolution) process with literature on alignment as a state to identify the different components of the organization's socio-technical system that influence alignment, the relationships between these components, and the role that different factors play. In our empirical analysis (based multiple case studies) we then focus on the actual interplay between relevant factors. Using a causal loop diagramming approach - based on system dynamics – we analyze how these factors mutually influence each other through various feedback loops and thus shape the alignment process. We extend previous literature on the alignment process by identifying the way that the complex interplay between different factors shapes this process. By identifying the feedback loops between relevant factors, we also provide more insight into the complex bottom-up and top-down dynamics that shape the process, and that provide explanations for why this process is characterized by transitions between alignment and misalignment. For practice, our paper provides a deeper understanding of the alignment process, which is a precondition for improving alignment practices in organisations.
Published: 2023

4. Managing water across the flood-drought spectrum – experiences from and challenges for the Netherlands

Author: Ruud P. Bartholomeus, Karin van der Wiel, Anne F. van Loon, Marjolein H.J. van Huijgevoort, Michelle T. H. van Vliet, Marjolein Mens, Sharon Muurling-van Geffen, Niko Wanders, and Wieke Pot
Published: 2023

5. Ultrahigh-Throughput Enzyme Engineering and Discovery in In Vitro Compartments

Author: Gantz, Maximilian, Neun, Stefanie, Medcalf, Elliot J., van Vliet, Liisa D., Hollfelder, Florian, Neun, Stefanie [0000-0002-2469-6984], Hollfelder, Florian [0000-0002-1367-6312], and Apollo - University of Cambridge Repository
Subjects: Kinetics, Microfluidics, Water, Biological Assay, Emulsions, General Chemistry, Microfluidic Analytical Techniques, High-Throughput Screening Assays
Abstract: Novel and improved biocatalysts are increasingly sourced from libraries via experimental screening. The success of such campaigns is crucially dependent on the number of candidates tested. Water-in-oil emulsion droplets can replace the classical test tube, to provide in vitro compartments as an alternative screening format, containing genotype and phenotype and enabling a readout of function. The scale-down to micrometer droplet diameters and picoliter volumes brings about a >107-fold volume reduction compared to 96-well-plate screening. Droplets made in automated microfluidic devices can be integrated into modular workflows to set up multistep screening protocols involving various detection modes to sort >107 variants a day with kHz frequencies. The repertoire of assays available for droplet screening covers all seven enzyme commission (EC) number classes, setting the stage for widespread use of droplet microfluidics in everyday biochemical experiments. We review the practicalities of adapting droplet screening for enzyme discovery and for detailed kinetic characterization. These new ways of working will not just accelerate discovery experiments currently limited by screening capacity but profoundly change the paradigms we can probe. By interfacing the results of ultrahigh-throughput droplet screening with next-generation sequencing and deep learning, strategies for directed evolution can be implemented, examined, and evaluated.
Published: 2023

6. Panta Rhei benchmark dataset

Author: Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, Philip J. Ward, German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Uppsala University, Vrije Universiteit Amsterdam [Amsterdam] (VU), University of Houston, Lomonosov Moscow State University (MSU), University of California [Irvine] (UC Irvine), University of California (UC), Istanbul Technical University (ITÜ), Center for Climate and Resilience Research [Conception] ((CR)2), Universidad de Concepción - University of Concepcion [Chile], Operations Department, Barcelona Cicle de l’Aigua, University of Saskatchewan [Saskatoon] (U of S), Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Department of Groundwater Management, Deltares, Delft, University of Birmingham [Birmingham], Agency for the Assessment and Application of Technology, Imperial College London, Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Water and Climate Risk, and Amsterdam Sustainability Institute
Subjects: Oceanography, Hydrology and Water Resources, [SDE]Environmental Sciences, General Earth and Planetary Sciences, Oceanografi, hydrologi och vattenresurser, SDG 6 - Clean Water and Sanitation
Abstract: As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is currently a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. Here we present a benchmark dataset containing socio-hydrological data of paired events, i.e., two floods or two droughts that occurred in the same area. The 45 paired events occurred in 42 different study areas and cover a wide range of socio-economic and hydro-climatic conditions. The dataset is unique in covering both floods and droughts, in the number of cases assessed, and in the quantity of socio-hydrological data. The benchmark dataset comprises: 1) detailed review style reports about the events and key processes between the two events of a pair; 2) the key data table containing variables that assess the indicators which characterise management shortcomings, hazard, exposure, vulnerability and impacts of all events; 3) a table of the indicators-of-change that indicate the differences between the first and second event of a pair. The advantages of the dataset are that it enables comparative analyses across all the paired events based on the indicators-of-change and allows for detailed context- and location-specific assessments based on the extensive data and reports of the individual study areas. The dataset can be used by the scientific community for exploratory data analyses e.g. focused on causal links between risk management, changes in hazard, exposure and vulnerability and flood or drought impacts. The data can also be used for the development, calibration and validation of socio-hydrological models. The dataset is available to the public through the GFZ Data Services (Kreibich et al. 2023, link for review: https://dataservices.gfz-potsdam.de/panmetaworks/review/923c14519deb04f83815ce108b48dd2581d57b90ce069bec9c948361028b8c85/).
Published: 2023

7. Experiences of pregnant women with genome-wide non-invasive prenatal testing in a national screening program

Author: van der Meij, Karuna R.M., van de Pol, Qiu Ying F., Bekker, Mireille N., Martin, Linda, Gitsels-van der Wal, Janneke, van Vliet-Lachotzki, Elsbeth H., Weiss, Janneke M., Galjaard, Robert Jan H., Sistermans, Erik A., Macville, Merryn V.E., Henneman, Lidewij, RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA KG Lab Specialisten (9), Clinical Genetics, Human genetics, Amsterdam Reproduction & Development (AR&D), and Midwifery Science
Subjects: Risk, All institutes and research themes of the Radboud University Medical Center, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Informed decision-making, Genetics, Downs-syndrome, Anxiety, Genetics (clinical), Nipt
Abstract: Contains fulltext : 292727.pdf (Publisher’s version ) (Open Access) Pregnant women's perspectives should be included in the dialogue surrounding the expanding offers of non-invasive prenatal testing (NIPT), especially now that technological possibilities are rapidly increasing. This study evaluated women's experiences with the offer of genome-wide (GW) first-tier NIPT in a national screening program. A nationwide pre-and post-test questionnaire was completed by 473 pregnant women choosing between targeted NIPT (trisomies 21, 18 and 13 only) and GW-NIPT (also other findings) within the Dutch TRIDENT-2 study. Measures included satisfaction, reasons for or against choosing GW-NIPT, anxiety, and opinion on the future scope of NIPT. Most respondents (90.4%) were glad to have been offered the choice between GW-NIPT and targeted NIPT; 76.5% chose GW-NIPT. Main reasons to choose GW-NIPT were 'wanting as much information as possible regarding the child's health' (38.6%) and 'to be prepared for everything' (23.8%). Main reasons to choose targeted NIPT were 'avoiding uncertain results/outcomes' (33.7%) and 'not wanting to unnecessarily worry' (32.6%). Nearly all respondents received a low-risk NIPT result (98.7%). No differences were found in anxiety between women choosing GW-NIPT and targeted NIPT. Most respondents were favorable toward future prenatal screening for a range of conditions, including life-threatening disorders, mental disabilities, disorders treatable in pregnancy and severe physical disabilities, regardless of their choice for GW-NIPT or targeted NIPT. In conclusion, women who chose first-tier NIPT were satisfied with the choice between GW-NIPT and targeted NIPT, and most women were favorable toward a broader future screening offer. Our results contribute to the debate concerning the expansion of NIPT.
Published: 2023

8. Chronic hypoxia favours adoption to a castration-resistant cell state in prostate cancer

Author: Sarina Cameron, Genevieve Deblois, James R. Hawley, Aditi Qamra, Stanley Zhou, Seyed Ali Madani Tonekaboni, Alexander Murison, Romy Van Vliet, Juan Liu, Jason W. Locasale, and Mathieu Lupien
Subjects: Cancer Research, Genetics, Molecular Biology
Abstract: Predicting and treating recurrence in intermediate-risk prostate cancer patients remains a challenge despite having identified genomic instability (1) and hypoxia (2,3) as risk factors. This underlies challenges in assigning the functional impact of these risk factors to mechanisms promoting prostate cancer progression. Here we show chronic hypoxia (CH), as observed in prostate tumours (4), leads to the adoption of an androgen-independent state in prostate cancer cells. Specifically, CH results in prostate cancer cells adopting transcriptional and metabolic alterations typical of castration-resistant prostate cancer cells. These changes include increased expression of transmembrane transporters for the methionine cycle and related pathways leading to increased abundance of metabolites and expression of enzymes related to glycolysis. Targeting the Glucose Transporter 1 (GLUT1) identified a dependency on glycolysis in androgen-independent cells. Overall, we identified a therapeutically targetable weakness in chronic hypoxia and androgen-independent prostate cancer. These findings may offer additional strategies for treatment development against hypoxic prostate cancer.
Published: 2023

9. Editor's Choice – Interventions to Achieve Functionality in Newly Created Arteriovenous Fistulas in the Shunt Simulation Study Cohort

Author: Letty V. van Vliet, Niek Zonnebeld, Lee H. Bouwman, Philippe W. Cuypers, Laurens C. Huisman, Susan Lemson, Felix J. Schlösser, André A. de Smet, Raechel J. Toorop, Maarten G. Snoeijs, Tammo Delhaas, Stefan G. Heinen, Wouter Huberts, Barend M. Mees, and Jan H. Tordoir
Subjects: Re-operation, Angioplasty, SALVAGE, Cohort studies, Surgery, Cardiology and Cardiovascular Medicine, STENOSIS, Renal dialysis, MATURATION FAILURE, Arteriovenous fistula
Abstract: Objective: Although observational cohort studies report that interventions to achieve functionality are clinically successful in 85% of patients, the proportion of newly created autologous arteriovenous fistulas that result in functional vascular access typically is only 70 -80%. To address this discrepancy, the selection and outcomes of interventions to achieve functionality in a multicentre prospective cohort study were analysed. Methods: The Shunt Simulation Study enrolled 222 patients who needed a first arteriovenous fistula in nine dialysis units in The Netherlands from 2015 to 2018 and followed these patients until one year after access creation. In this observational study, the technical and clinical success rates of interventions to achieve functionality based on lesion and intervention characteristics were analysed and the clinical outcomes of arteriovenous fistulas with assisted and unassisted functionality were compared. Results: For patients who were on dialysis treatment at the end of the study, unassisted fistula functionality was 54% and overall fistula functionality was 78%. Thirty-four per cent of arteriovenous fistulas required an intervention to achieve functionality, 68% of which eventually became functional. Seventy-five per cent of these interventions were percutaneous balloon angioplasties of vascular access stenoses. Patients with clinically successful interventions to achieve functionality had larger pre-operative vein diameters (2.8 + 1.0 mm vs. 2.3 + 0.6 mm, p = .036) and less often presented with thrombosed fistulas than patients with unsuccessful interventions (7% vs. 43%, p = .006). Arteriovenous fistulas with assisted functionality had similar secondary patency as fistulas with unassisted functionality (100% and 98% at six months, p = .44), although they required more interventions to maintain function (2.6 vs. 1.7 per year; rate ratio 1.52, 95% CI 1.04 -2.18, p = .032). Conclusion: Interventions to achieve functionality were needed in about a third of newly created arteriovenous fistulas. Most thrombosed fistulas were abandoned, and when selected for thrombectomy rarely reached clinical success. On the other hand, interventions to achieve functionality of patent fistulas had high clinical success rates and therefore can be done repeatedly until the fistula has become functional.
Published: 2023

10. Pre-hospital treatment with zalunfiban (RUC-4) in patients with ST- Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention

Author: Sem A O F, Rikken, Abi, Selvarajah, Renicus S, Hermanides, Barry S, Coller, C Michael, Gibson, Christopher B, Granger, Frédéric, Lapostolle, Sonja, Postma, Henri, van de Wetering, Risco C W, van Vliet, Gilles, Montalescot, Jurriën M, Ten Berg, Arnoud W J, van 't Hof, F, Zijlstra, Cardiologie, RS: Carim - H01 Clinical atrial fibrillation, RS: Carim - B04 Clinical thrombosis and Haemostasis, and MUMC+: MA Med Staf Spec Cardiologie (9)
Subjects: Cardiology and Cardiovascular Medicine
Abstract: BACKGROUND: Early and complete restoration of target vessel patency in ST-elevation myocardial infarction (STEMI) is associated with improved outcomes. Oral P2Y12 inhibitors have failed to demonstrate either improved patency or reduced mortality when administered in the pre-hospital setting. Thus, there is a need for antiplatelet agents that achieve prompt and potent platelet inhibition, and that restore patency in the pre-hospital setting. Zalunfiban, a novel subcutaneously administered glycoprotein IIb/IIIa inhibitor designed for pre-hospital administration, has shown to achieve rapid, high-grade platelet inhibition that exceeds that of P2Y12 inhibitors. Whether pre-hospital administration of zalunfiban can improve clinical outcome is unknown.HYPOTHESIS: The present study is designed to assess the hypothesis that a single, pre-hospital injection of zalunfiban given in the ambulance, in addition to standard-of-care in patients with STEMI with intent to undergo primary percutaneous coronary intervention (PCI) will improve clinical outcome compared to standard-of-care with placebo.STUDY DESIGN: The ongoing CELEBRATE trial (NCT04825743) is a phase III, randomized, double-blinded, placebo-controlled, international trial. Patients with STEMI intended to undergo primary PCI will receive treatment with a single subcutaneous injection containing either zalunfiban dose 1 (0.110 mg/kg), zalunfiban dose 2 (0.130 mg/kg) or placebo, and the study drug will be administered in the ambulance before transportation to the hospital. A target of 2499 patients will be randomly assigned to one of the treatment groups in a 1:1:1 ratio, i.e., to have approximately 833 evaluable patients per group. The primary efficacy outcome is a ranked 7-point scale on clinical outcomes. The primary safety outcome is severe or life-threatening bleeding according to the Global Use of Strategies to Open Occluded Coronary Arteries (GUSTO) criteria.SUMMARY: The CELEBRATE trial will assess whether a single pre-hospital subcutaneous injection of zalunfiban in addition to standard-of-care in patients with STEMI with intent to undergo primary PCI will result in improved clinical outcome.
Published: 2023

11. Author Correction: Current wastewater treatment targets are insufficient to protect surface water quality (Communications Earth & Environment, (2022), 3, 1, (221), 10.1038/s43247-022-00554-y)

Author: Jones, Edward R., Bierkens, Marc F.P., Wanders, Niko, Sutanudjaja, Edwin H., van Beek, Ludovicus P.H., van Vliet, Michelle T.H., Hydrologie, Faculteit Geowetenschappen, Landscape functioning, Geocomputation and Hydrology, Landdegradatie en aardobservatie, and Bureau FG
Subjects: Environmental Science(all), Earth and Planetary Sciences(all)
Abstract: The original version of this Article contained errors. The fourth sentence of the first paragraph in the section titled “Halving the proportionof untreated wastewater (SDG6.3)” incorrectly read “The largest expansions required before 2030 are in China (40 million m3), the USA (16 million m3) and India (15 million m3), with these three countries alone accounting for ~45% of the required expansions.” The correct version states ‘billion m3 yr-1’ in place of ‘million m3’. In addition, the first sentence of the caption for Figure 2 incorrectly read “a Expansions in wastewater treatment capacity (106 m3) required by 2030 to achieve SDG6.3 for the top 30 countries”. The correct version states “(109 m3 yr-1)” in place of “(106 m3)”. These errors have been corrected in both the PDF and HTML versions of the Article.
Published: 2023

12. Author Correction: Current wastewater treatment targets are insufficient to protect surface water quality (Communications Earth & Environment, (2022), 3, 1, (221), 10.1038/s43247-022-00554-y)

Author: Jones, Edward R., Bierkens, Marc F.P., Wanders, Niko, Sutanudjaja, Edwin H., van Beek, Ludovicus P.H., van Vliet, Michelle T.H., Hydrologie, Faculteit Geowetenschappen, Landscape functioning, Geocomputation and Hydrology, Landdegradatie en aardobservatie, and Bureau FG
Subjects: Environmental Science(all), Earth and Planetary Sciences(all)
Abstract: The original version of this Article contained errors. The fourth sentence of the first paragraph in the section titled “Halving the proportionof untreated wastewater (SDG6.3)” incorrectly read “The largest expansions required before 2030 are in China (40 million m3), the USA (16 million m3) and India (15 million m3), with these three countries alone accounting for ~45% of the required expansions.” The correct version states ‘billion m3 yr-1’ in place of ‘million m3’. In addition, the first sentence of the caption for Figure 2 incorrectly read “a Expansions in wastewater treatment capacity (106 m3) required by 2030 to achieve SDG6.3 for the top 30 countries”. The correct version states “(109 m3 yr-1)” in place of “(106 m3)”. These errors have been corrected in both the PDF and HTML versions of the Article.
Published: 2023

13. GHG emission reduction potential of road freight transport by using battery electric trucks in Finland and Switzerland

Author: Jahangir Samet, Mehdi, Liimatainen, Heikki, and van Vliet, Oscar Patrick René
Subjects: Life Cycle Analysis (LCA) of GHG emission, Parametric GHG emission LCA, BET operational range coverage analysis, Electric Road System (ERS), Battery and charging technology improvement, Large-scale adoption of Battery Electric Truck (BET), SDG 7 - Affordable and Clean Energy, SDG 12 - Responsible Consumption and Production
Abstract: Large-scale adoption of battery electric trucks (BETs) might be a practical solution for reducing the greenhouse gas (GHG) emission in road freight transport sector if certain requirements are met. The minimum requirements are: 1) to overcome the operational range restrictions of BETs, and 2) to access an electricity power network with a certain level of emission intensity for the battery charging and battery production. In this study, we use a parametric GHG emission life cycle analysis (LCA) combined with a BET operational range coverage analysis to develop a methodology to provide a realistic estimation of BET’s large-scale adoption and its GHG emission reduction potential for different electrification scenarios for battery and charging technology improvements in trucks with gross vehicle weight (GVW) over 3.5 tons in Finland and Switzerland. Life cycle (LC) GHG emission reduction potential in Finland is estimated to be very low (around 30% with the help of electric road system (ERS) in some routes and around 12% without ERS) in the short-term electrification scenarios; however, the mid-term and long-term scenarios are promising for LC GHG emission reduction potentials (up to 60%) even with the current level of electricity emission factors in Finland. In Switzerland, LC GHG emission reduction potential is estimated to be quite high (74% in Switzerland vs. 12%-30% in Finland) compared to Finland in the short-term electrification scenarios; however, the midterm and long-term scenarios show high LC GHG emission reduction potentials for Switzerland (around 93%), while Finland needs the help of full-decarbonization of electricity generation for battery charging and battery production in BETs, and use of renewable fuels in other trucks, to achieve high emission reduction.
Published: 2023

14. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Author: Global Health Research Unit on Global Surgery, National Institute for Health and Care Research, Adisa, Adewale, Bahrami-Hessari, Michael, Bhangu, Aneel, George, Christina, Ghosh, Dhruv, Glasbey, James, Haque, Parvez, Ingabire, J C Allen, Kamarajah, Sivesh Kathir, Kudrna, Laura, Ledda, Virginia, Li, Elizabeth, Lillywhite, Robert, Mittal, Rohin, Nepogodiev, Dmitri, Ntirenganya, Faustin, Picciochi, Maria, Simões, Joana Filipa Ferreira, Booth, L, Elliot, R, Kennerton, A S, Pettigrove, K L, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, John W D, Smith, A, Sayed, A Emad, Goswami, Aakansha Giri, Malik, Aamer, Mclean, Aaron Lawson, Hassan, Abbas, Nazimi, Abd Jabar, Aladna, Abdallah, Abdelgawad, Abdalrahman, Saed, Abdel, Abdelmageed, Abdelfatah, Ghannam, Abdelilah, Mahmoud, Abdelrahman, Alvi, Abdul, Ismail, Abdulaziz, Adesunkanmi, Abdulhafiz, Ebrahim, Abdulla, Al-Mallah, Abdullah, Alqallaf, Abdullah, Durrani, Abdullah, Gabr, Abdullah, Kirfi, Abdullahi Musa, Altaf, Abdulmalik, Almutairi, Abdulmjeed, Sabbagh, Abdulrahman J, Ajiya, Abdulrazak, Haddud, Abdurrahman, Alnsour, Abed Alfattah Mahmoud, Singh, Abhinav, Mittal, Abhishek, Semple, Abigail, Adeniran, Abiodun, Negussie, Abraham, Oladimeji, Abraham, Muhammad, Abubakar Bala, Yassin, Abubaker, Gungor, Abuzer, Tarsitano, Achille, Soibiharry, Adaiah, Dyas, Adam, Frankel, Adam, Peckham-Cooper, Adam, Truss, Adam, Issaka, Adamu, Ads, Adel Mohamed, Aderogba, Adeleke Akeem, Adeyeye, Ademola, Ademuyiwa, Adesoji, Sleem, Adham, Papa, Adrian, Cordova, Adriana, Appiah-Kubi, Adu, Meead, Adullah, Nacion, Aeris Jane D, Michael, Afieharo, Forneris, Agustin Albani, Duro, Agustin, Gonzalez, Agustin Rodriguez, Altouny, Ahmad, Ghazal, Ahmad, Khalifa, Ahmad, Ozair, Ahmad, Quzli, Ahmad, Haddad, Ahmad, Othman, Ahmad Faidzal, Yahaya, Ahmad Shuib, Elsherbiny, Ahmed, Nazer, Ahmed, Tarek, Ahmed, Abu-Zaid, Ahmed, Al-Nusairi, Ahmed, Azab, Ahmed, Elagili, Ahmed, Elkazaz, Ahmed, Kedwany, Ahmed, Nuhu, Ahmed Mohammed, Sakr, Ahmed, Shehta, Ahmed, Shirazi, Ahmed, Mohamed, Ahmed Mohamed Ibrahim, Sherif, Ahmed Elshawadfy, Awad, Ahmed K, Abbas, Ahmed M, Abdelrahman, Ahmed Saber, Ammar, Ahmed Siddique, Azzam, Ahmed Y, Ciftci, Ahmet Burak, Dural, Ahmet Cem, Sanli, Ahmet Necati, Rahy-Martín, Aida Cristina, Tantri, Aida Rosita, Khan, Aimal, Al-Touny, Aiman, Tariq, Aiman, Gmati, Aimen, Costas-Chavarri, Ainhoa, Auerkari, Aino, Landaluce-Olavarria, Aitor, Puri, Ajay, Radhakrishnan, Ajay, Ubom, Akaninyene Eseme, Pradhan, Akhilesh, Turna, Akif, Adepiti, Akinfolarin, Kuriyama, Akira, Kassam, Al-Faraaz, Hassouneh, Ala, El-Hussuna, Alaa, Habeebullah, Alaa, Ads, Alaa Mohamed, Mousli, Alaa, Biloslavo, Alan, Hoang, Alan, Kirk, Alan, Santini, Alasdair, Melero, Alba Vazquez, Calvache, Albaro José Nieto, Baduell, Albert, Chan, Albert, Abrate, Alberto, Balduzzi, Alberto, Sánchez, Alberto Cabañero, Navarrete-Peón, Alberto, Porcu, Alberto, Brolese, Alberto, Barranquero, Alberto G, Saibene, Alberto Maria, Adam, Albushra Altayeb, 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Shen, Shah, Vinay, Maiola, Vincenza, Giordano, Vincenzo, La Vaccara, Vincenzo, Lizzi, Vincenzo, Papagni, Vincenzo, Schiavone, Vincenzo, Satchithanantham, Vinojan, Garcia-Virto, Virginia, Jimenez, Virginia, Kumar, Vishal, Shelat, Vishal, Bhat, Vivek, Sodhai, Vivek, Graziadei, Vivien, Kutuzov, Vladislav, Stoyanov, Vladislav, Oktseloglou, Vlasio, Flis, Vojko, Elhassan, Wael Atif Fadl, Yang, Wah, Soon, Wai Cheong, Tashkandi, Wail, Al-Khyatt, Waleed, Mabood, Waleed, Bijou, Walid, Wijenayake, Wasantha, D, Wasim, Krawczyk, Wiktor, Atkins, William, Bolton, William, White, William, Ceelen, Wim, Vagena, Xanthoula, Gozal, Yaacov, Baba, Yabasin Iddrisu, Subramani, Yamini, Jansen, Yanina, Mittal, Yash, Kara, Yasi̇n, Zwain, Yasir, Noureldin, Yasser, Alawneh, Yazan, Aydin, Yener, Lam, Yick Ho, Tang, Yita, Lim, Yizhe, Dean, Yomna, Tanas, Yousef, Su, Yu-Xiong, Fujimoto, Yuki, Altinel, Yuksel, Frolova, Yulia, Oshodi, Yusuf, Fadel, Zahir T, Zahid, Zahra, Elahi, Zain, Djama, Zakarya, Zaheen, Zakia, Jawad, Zaynab, Demetrashvili, Zaza, Gebremeskel, Zersenay, Gudisa, Zewdie, Alyami, Ziyad, Garoufalia, Zoe, Li, Zoe, Zimak, Zoran, Radin, Zorana, Balogh, Zsolt J, Adisa, A, Bahrami-Hessari, M, Bhangu, A, George, C, Ghosh, D, Glasbey, J, Haque, P, Ingabire, J, Kamarajah, S, Kudrna, L, Ledda, V, Li, E, Lillywhite, R, Mittal, R, Nepogodiev, D, Ntirenganya, F, Picciochi, M, Simões, J, Kennerton, A, Pettigrove, K, Wolfenden, J, Sayed, A, Goswami, A, Malik, A, Mclean, A, Hassan, A, Nazimi, A, Aladna, A, Abdelgawad, A, Saed, A, Abdelmageed, A, Ghannam, A, Mahmoud, A, Alvi, A, Ismail, A, Adesunkanmi, A, Ebrahim, A, Al-Mallah, A, Alqallaf, A, Durrani, A, Gabr, A, Kirfi, A, Altaf, A, Almutairi, A, Sabbagh, A, Ajiya, A, Haddud, A, Alnsour, A, Singh, A, Mittal, A, Semple, A, Adeniran, A, Negussie, A, Oladimeji, A, Muhammad, A, Yassin, A, Gungor, A, Tarsitano, A, Soibiharry, A, Dyas, A, Frankel, A, Peckham-Cooper, A, Truss, A, Issaka, A, Ads, A, Aderogba, A, Adeyeye, A, Ademuyiwa, A, Sleem, A, Papa, A, Cordova, A, Appiah-Kubi, A, Meead, A, Nacion, A, Michael, A, Forneris, A, Duro, A, Gonzalez, A, Altouny, A, Ghazal, A, Khalifa, A, Ozair, A, Quzli, A, Haddad, A, Othman, A, Yahaya, A, Elsherbiny, A, Nazer, A, Tarek, A, Abu-Zaid, A, Al-Nusairi, A, Azab, A, Elagili, A, Elkazaz, A, Kedwany, A, Nuhu, A, Sakr, A, Shehta, A, Shirazi, A, Mohamed, A, Sherif, A, Awad, A, Abbas, A, Abdelrahman, A, Ammar, A, Azzam, A, Ciftci, A, Dural, A, Sanli, A, Rahy-Martín, A, Tantri, A, Khan, A, Al-Touny, A, Tariq, A, Gmati, A, Costas-Chavarri, A, Auerkari, A, Landaluce-Olavarria, A, Puri, A, Radhakrishnan, A, Ubom, A, Pradhan, A, Turna, A, Adepiti, A, Kuriyama, A, Kassam, A, Hassouneh, A, El-Hussuna, A, Habeebullah, A, Mousli, A, Biloslavo, A, Hoang, A, Kirk, A, Santini, A, Melero, A, Calvache, A, Baduell, A, Chan, A, Abrate, A, Balduzzi, A, Sánchez, A, Navarrete-Peón, A, Porcu, A, Brolese, A, Barranquero, A, Saibene, A, Adam, A, Vagge, A, Maquilón, A, Leon-Andrino, A, Sekulić, A, Trifunovski, A, Mako, A, Bedada, A, Broglia, A, Coppola, A, Giani, A, Grandi, A, Iacomino, A, Moro, A, D’Amico, A, Malagnino, A, Tang, A, Doyle, A, Alfieri, A, Haynes, A, Wilkins, A, Baldwin, A, Heriot, A, Laird, A, Lazarides, A, O'Connor, A, Trulson, A, Rokohl, A, Caziuc, A, Triantafyllou, A, Anesi, A, Nikova, A, Andrianakis, A, Charalabopoulos, A, Tsolakidis, A, Chirca, A, Arnaud, A, Narvaez-Rojas, A, Kavalakat, A, Spina, A, Recordare, A, Annicchiarico, A, Conti, A, Mohammed, A, Kocataş, A, Almhimid, A, Arnaout, A, Fahmy, A, Mangi, A, Modabber, A, Ulas, A, Mohamedahmed, A, Frontali, A, Moynihan, A, Yunus, A, Ahmad, A, Kent, A, Khamees, A, Ugwu, A, Turan, A, Navarro-Barrios, A, Yebes, A, De Sousa, Á, Moreno, A, Sethi, A, Dawson, A, Kaur, A, Wolde, A, Antonelli, A, Scifo, A, Alhamad, A, Davis, A, Alderazi, A, Harky, A, Mohammed-Durosinlorun, A, Seguya, A, Okhakhu, A, Chamakhi, A, Sebai, A, Souadka, A, Asla, A, Agrawal, A, Persad, A, Gupta, A, Elgazar, A, Kulkarni, A, Coates, A, Bellés, A, Hadzibegovic, A, Jotic, A, Kowark, A, Martins, A, Pineda, A, Peral, A, Gollarte, A, Senent-Boza, A, Camarena, A, Castaño-Leon, A, Bravo, A, Musina, A, Tapia-Herrero, A, Kothari, A, Raja, A, Aljaiuossi, A, Taha, A, Majbar, A, Prodromidou, A, Kanatas, A, Gupte, A, Zakaria, A, Balla, A, Barberis, A, Bondurri, A, Bottari, A, Costantino, A, Figus, A, Lauretta, A, Mingoli, A, Romanzi, A, Sagnotta, A, Scacchi, A, Picchetto, A, Valadez, A, Luzzi, A, Älgå, A, Fontalis, A, Hecker, A, Demetriades, A, Serban, A, Văcărașu, A, Cokan, A, Isaza-Restrepo, A, Beamish, A, Schache, A, Stevenson, A, Yiu, A, Cockbain, A, Litvin, A, Abad-Motos, A, Becerra, A, Ramos, Á, Chiaradia, A, Dell, A, Romano, A, Pascale, A, Marra, A, Dimas, A, Kolias, A, Cerovac, A, Koneru, A, Tidjane, A, Agbeko, A, Bajaj, A, Gosain, A, Allan, A, Carreras-Castañer, A, D'Amore, A, Dare, A, Maffioli, A, Palepa, A, Paspala, A, Konney, A, Gatta, A, Ezanno, A, Yiallourou, A, Kinnair, A, Rayner, A, Scafa, A, Bowan, A, Veglia, A, Russo, A, Maniaci, A, Castaldi, A, Gil-Moreno, A, Maffuz-Aziz, A, Meola, A, Nenna, A, Ferrer, A, Bonilla, A, Ramos-De La Medina, A, Infante, A, Santoro, A, Laganà, A, Bateman, A, Abozid, A, Seidu, A, Lowery, A, Tantraworasin, A, Rasheed, A, Picciariello, A, Isik, A, Saif, A, Anjum, A, Ioannidis, A, Abeldaño, A, Hussain, A, Nathan, A, Bedzhanyan, A, Perfecto, A, De Virgilio, A, Galvan, A, Sablotzki, A, Böttcher, A, Pellacani, A, Gatti, A, Ibrahimli, A, Menon, A, Sahni, A, Mwenda, A, Choudhry, A, Jayawardane, A, Ramasamy, A, Mitul, A, Bawa, A, Nugur, A, Rammohan, A, Sachdeva, A, Mehraj, A, Yildirim, A, Alqaseer, A, Radwan, A, Sallam, A, Syllaios, A, Tampakis, A, Alwael, A, Samara, A, Eroglu, A, Rahman, A, Ulkucu, A, Zaránd, A, Dulskas, A, Tawiah, A, Zani, A, Vas, A, Lukosiute-Urboniene, A, Adamu, A, Aujayeb, A, İplikçi, A, Mahmud, A, Cil, A, Makanjuola, A, Akwaisah, A, Galandarova, A, Saracoglu, A, Regan, A, Barlas, A, Alhassan, B, Mostafa, B, Hamida, B, Torun, B, Abdullah, B, Balagobi, B, Banky, B, Singh, B, Alegbeleye, B, Yigit, B, Hajjaj, B, Burgos-Blasco, B, Seeliger, B, Alayande, B, Alhazmi, B, Enodien, B, Torre, B, Pérez, B, Tamayo, B, De Andrés-Asenjo, B, Quintana-Villamandos, B, Girgin, B, Barmayehvar, B, Beisenov, B, Creavin, B, Dunne, B, Marson, B, Waterson, B, Martin, B, Zucker, B, Wong, B, Ozmen, B, Hammond, B, Mbwele, B, Núñez, B, Dhondt, B, Gafsi, B, Mcleish, B, Lieske, B, Tailor, B, La Pira, B, Picardi, B, Zampogna, B, Casagranda, B, Festa, B, Panda, B, Kirmani, B, Sulaiman, B, Gurung, B, Zacharia, B, Bette, B, Ayana, B, Nikolovska, B, Vilaró, B, De Vega Sánchez, B, Hameed, B, Diaconescu, B, Kovacevic, B, Bumber, B, Sakakushev, B, Tadic, B, Malek, B, Alrayes, B, Thomas, B, Gális, B, Gallagher, B, Knowles, B, Cunningham, B, Daley, B, Mishra, B, Ashford, B, Pirozzi, B, Berselli, B, Martinez-Leo, B, Sensi, B, Nardo, B, Celik, B, Giray, B, Abud, B, Almiqlash, B, Pramesh, C, Taskiran, C, De Campos Prado, C, Cipolla, C, Kumar, C, English, C, Riccetti, C, Vanni, C, Brasset, C, Downey, C, Duffy, C, Chwat, C, Cutmore, C, Sars, C, Ratto, C, Pacilio, C, De La Infiesta García, C, Moreno, C, Magalhães, C, Prada, C, Zapata, C, Senni, C, Flumignan, C, Martinez-Perez, C, Duarte, C, Garcia, C, Anderson, C, Hing, C, Cullinane, C, Cina, C, Zabkiewicz, C, Sohrabi, C, Guldogan, C, Ciubotaru, C, Desai, C, Raut, C, Demetriou, C, Handford, C, Okpani, C, Paranjape, C, Koh, C, Khatri, C, Parmar, C, Mok, C, Caricato, C, Marafante, C, Echieh, C, Tan, C, Ong, C, Conso, C, Jardinez, C, Konrads, C, Warner, C, Makwe, C, Henein, C, Fleming, C, Roland, C, Maurus, C, Nitschke, C, Mittermair, C, Mallmann, C, Andro, C, Harmston, C, Kuppler, C, Lotz, C, Nahm, C, Rowe, C, Ryalino, C, Wallis, C, Millward, C, Anthoulakis, C, Apostolou, C, Chouliaras, C, Kalfountzos, C, Kaselas, C, Vosinakis, C, Okereke, C, Chean, C, Barlow, C, Tatar, C, Clancy, C, Forde, C, Sharpin, C, Mccarthy, C, Nestor, C, Warden, C, Ávila, C, Massaguer, C, Fang, C, Martins, C, Guerci, C, Mauriello, C, Holzmeister, C, Miller, C, Weber, C, Wiesinger, C, Kenington, C, Noel, C, Sue-Chue-Lam, C, Adumah, C, Neary, C, Sen, C, Fitzgerald, C, Ezeme, C, Nastos, C, Mesina, C, Bombardini, C, Torregrosa, C, Valdespino, C, Don, C, Wickramasinghe, D, Milanesi, D, Armijos, D, Asiimwe, D, Beswick, D, Clerc, D, Cox, D, Doherty, D, Martínez, D, Lechuga, D, Gero, D, Gil-Sala, D, Lindegger, D, Reim, D, Shaerf, D, Shmukler, D, Branzan, D, Filipescu, D, Rega, D, Bernardi, D, Bissacco, D, Fusario, D, Morezzi, D, Sabella, D, Zimak, D, Vinci, D, Sale, D, Khan, D, Thereska, D, Andreotti, D, Tartaglia, D, Abdulai, D, Mukherjee, D, Verdi, D, Idowu, D, John, D, Johnson, D, Moro-Valdezate, D, Naumann, D, Omar, D, Proud, D, Roberts, D, Guzmán, D, Watson, D, Bergkvist, D, Lumenta, D, Ferrari, D, Rizzo, D, Degarege, D, Castillo, D, Douglas, D, Wright, D, Nanjiani, D, Bratus, D, Altun, D, Sievers, D, Vaysburg, D, Katechia, D, Azize, D, Rodrigues, D, Pachajoa, D, Hayne, D, Mutter, D, Raimondo, D, Eskinazi, D, Sasia, D, Corallino, D, Muduly, D, Grewal, D, Hadzhiev, D, Peristeri, D, Pournaras, D, Raptis, D, Angelou, D, Haidopoulos, D, Magouliotis, D, Moris, D, Schizas, D, Symeonidis, D, Tsironis, D, Korkolis, D, Tatsis, D, Thekkinkattil, D, Bulian, D, Pandey, D, Vatansever, D, Parker, D, Wiedemann, D, Borselle, D, Pedini, D, Schweitzer, D, Venskutonis, D, Otokwala, J, Adamu, K, Pk, P, Garod, M, Ellafi, A, Zivkovic, D, Jelovac, D, Wijeysundera, D, Mcpherson, D, Ryan, É, Ugwu, E, Baidoo, E, Shaddad, E, Memişoğlu, E, Naranjo, E, Brodkin, E, Segalini, E, Viglietta, E, Hendriks, E, Bonci, E, Sá-Marta, E, Ortega, E, Gomez, E, Joviliano, E, Clune, E, Horwell, E, Mains, E, Vasarhelyi, E, Caruana, E, Nevins, E, Yenli, E, Baili, E, Lostoridis, E, Morgan, E, Shiban, E, Latif, E, Tampaki, E, Ezenwa, E, Irune, E, Borg, E, Eisa, E, Gialamas, E, Parvez, E, Theophilidou, E, Toma, E, Arnaoutoglou, E, Samadov, E, Kantor, E, Ulman, E, Colak, E, Cassinotti, E, Bannone, E, Sarjanoja, E, Yates, E, Vincent, E, Lun, E, Cerovac, E, Dif, E, Alkhalifa, E, Daketsey, E, Fayad, E, Sheikh, E, Pontecorvi, E, Cammarata, E, La Corte, E, Rausa, E, Odai, E, Guasch, E, Cano-Trigueros, E, Uldry, E, Ros, E, Matthews, E, Donmez, E, Giorgakis, E, Kapetanakis, E, Stamatakis, E, Bua, E, Schneck, E, Nachelleh, E, Ofori, E, Akin, E, Gönüllü, E, Kirkan, E, Çelik, E, Wong, E, Capozzi, E, Pinotti, E, Colás-Ruiz, E, González, E, Fekaj, E, Ohazurike, E, Kebede, E, Erginöz, E, Duran, E, Scott, E, Aytac, E, Albanese, E, Castro, E, Albayadi, E, Kriem, E, Siddig, E, Otify, E, El Tayeb, E, Hong, E, Saguil, E, Belzile, E, Tuyishime, E, Panieri, E, Martínez, E, Myriokefalitaki, E, Samara, E, Agbeno, E, Drozdov, E, Tokidis, E, Shah, F, Barra, F, Carbone, F, Ferreli, F, Marino, F, Martinelli, F, D'Acapito, F, Masciello, F, Bàmbina, F, Issa, F, Salameh, F, Kethy, F, Mahmood, F, Gareb, F, Idrees, F, Karimian, F, Ashraf, F, Haji, F, Inayat, F, Begum, F, Nabil, F, Rosa, F, Haider, F, Parray, F, Calculli, F, Ferracci, F, Saraceno, F, Coppola, F, Coccolini, F, Fusini, F, Migliorelli, F, Pecoraro, F, Alconchel, F, Coimbra, F, Trivik-Barrientos, F, Naegele, F, Almarshad, F, Agresta, F, Fleming, F, Mendoza-Moreno, F, Brzeszczyński, F, Carannante, F, Wu, F, Aljanadi, F, Hayati, F, Campo, F, Sorbi, F, Milana, F, Takeda, F, Shekleton, F, Gessler, F, Recker, F, Grama, F, Cherbanyk, F, Faponle, F, Angelis, F, Calabretto, F, Gaino, F, Toia, F, Bianco, F, Bussu, F, Cammarata, F, Castagnini, F, Colombo, F, Ferrara, F, Fleres, F, Guerrera, F, Litta, F, Mongelli, F, Pata, F, Roscio, F, Mulita, F, Ardura, F, Tejero-Pintor, F, Calvo, F, Escobedo, F, Camacho, F, Odicino, F, Schmitt, F, Bloemers, F, Hölzle, F, Gyamfi, F, Messner, F, Koh, F, Cáceres, F, Smolle-Juettner, F, Herman, F, Ayeni, F, Djedovic, G, De Oliveira, G, Rodrigues, G, Wagner, G, Bellio, G, Giarratano, G, Capolupo, G, Budd, G, Marom, G, Poillucci, G, Thiruchandran, G, Nicholson, G, Groot, G, Hoey, G, Bass, G, Sachdev, G, Agarwal, G, Aggarwal, G, Cormio, G, Mazzarella, G, Perrone, G, Osterhoff, G, Singer, G, Dejeu, G, Fowler, G, Garas, G, Gradinariu, G, Theodoropoulos, G, Tzimas, G, Babis, G, Wong, G, Cross, G, Micha, G, Chrysovitsiotis, G, Koukoulis, G, Peros, G, Tsoulfas, G, Kapetanios, G, Karagiannidis, G, Verras, G, Ekwen, G, Perrotta, G, Petruzzi, G, Bertelli, G, Calini, G, Fiacchini, G, Pirola, G, Dolci, G, Mendiola, G, Baiocchi, G, Palini, G, Prucher, G, D'Andrea, G, Maggiore, G, Cassese, G, Franceschini, G, Pellino, G, Saponaro, G, Pattacini, G, Pantuso, G, Iannella, G, Bonsaana, G, Lever, G, Brachini, G, Giraudo, G, Lisi, G, Russo, G, Aprea, G, Pascale, G, Tomasicchio, G, Sandri, G, Armatura, G, Turri, G, Zaccaria, G, Barugola, G, Lantone, G, Gasparini, G, Iacob, G, Sozzi, G, Zancana, G, Mercante, G, Bianco, G, Brisinda, G, Consorti, G, Currò, G, Giannaccare, G, Palomba, G, Pascarella, G, Rotunno, G, Spriano, G, Vizzielli, G, Cucinella, G, Sica, G, Campisi, G, Guerra, G, Pacheco, G, Atis, G, Augustin, G, Šantak, G, Chauhan, G, Branagan, G, Harris, G, Stewart, G, Padmore, G, Kocher, G, Di Franco, G, De Jesus Labrador Hernandez, G, Christodoulidis, G, Neal-Smith, G, Yim, G, Piozzi, G, Claret, G, Yanowsky-Reyes, G, Dhaity, G, Cakmak, G, Mohamed, G, Kucuk, G, Ancans, G, Banipal, G, De Bacco Marangon, G, Laporte, G, Martinez-Mier, G, Recinos, G, V, G, Benshetrit, G, Vijgen, G, Pickett, G, Rodriguez, H, Shiwani, H, Derilo, H, Awad, H, El Assaad, H, Raji, H, Hardgrave, H, Karakullukcu, H, Abdussalam, H, Mustafa, H, Parwaiz, H, Khan, H, Arbab, H, Naga, H, Salem, H, Ulgur, H, Perez-Chrzanowska, H, Greenlee, H, Javanmard-Emamghissi, H, Lederhuber, H, Osman, H, Adamou, H, Majid, H, Goor, H, Spiers, H, Manesh, H, Mushtaq, H, Aljaaly, H, Hasan, H, Ahmed, H, Martinez-Said, H, Aguado, H, Consani, H, Chaplin, H, Mohan, H, Van Vliet, H, Lohse, H, Shah, H, Claireaux, H, Lule, H, Juara, H, Abozied, H, Bayo, H, Alibrahim, H, Kroon, H, Ulman, H, Yonekura, H, Abou-Taleb, H, Wong, H, Carpenter, H, Majd, H, Zenha, H, Mayer, H, Elghadban, H, Abdou, H, Elfeki, H, Yusefi, H, Gomez-Fernandez, H, Horsfall, H, Meleiro, H, Sungurtekin, H, Junior, H, Moloo, H, Bayhan, H, Şevi̇k, H, Embarek, H, Hamid, H, Pradeep, I, Donkin, I, Ateca, I, Jafarov, I, Salisu, I, Abdalaal, I, Garzali, I, Sall, I, Adebara, I, Aghadi, I, Ugwu, I, Zapardiel, I, Reis, I, Nwafor, I, Fakhradiyev, I, Surya, I, Robo, I, Njokanma, I, Iannone, I, Khan, I, Correia, I, Königsrainer, I, Seiwerth, I, Linero, I, Kadiri, I, Florian, I, Tzima, I, Akrida, I, Baloyiannis, I, Gerogiannis, I, Katsaros, I, Tsakiridis, I, Valioulis, I, Negoi, I, Yadev, I, De Haro Jorge, I, Vázquez, I, Dajti, I, Russo, I, Afzal, I, Wasserman, I, Chukwu, I, Gracia, I, Oliver, I, Hughes, I, Mondi, I, Ncogoza, I, Bsisu, I, Rashid, I, Balasubramanian, I, Omar, I, Dominguez-Rosado, I, Smati, I, Vokshi, I, Al-Badawi, I, Saleh, I, Pilkington, I, Kirac, I, Trostchansky, I, Gawron, I, Trebol, J, Martellucci, J, Andreuccetti, J, Abou-Khalil, J, Shah, J, Manickavasagam, J, De Alarcón, J, Mihanovic, J, O'Riordan, J, Archer, J, Ashcroft, J, Blair, J, Hamill, J, Munthali, J, Park, J, Parry, J, Ryan, J, Tomlinson, J, Wheeler, J, Wilkins, J, Balogun, J, Hodgetts, J, Vatish, J, Žatecký, J, Dziakova, J, Martin, J, Beatty, J, Stijns, J, Faiz, J, Ripollés-Melchor, J, Mata, J, Vásquez, J, Mitra, J, Tuech, J, Mvukiyehe, J, Fallah, J, Díaz, J, Vishnoi, J, Van Den Eynde, J, Rickard, J, Rolinger, J, Kaplowitz, J, Meyer, J, Reid, J, Rossaak, J, Smelt, J, Thomas, J, Reyes, J, Davies, J, Luc, J, Alonso, J, Hajiioannou, J, Querney, J, Van Acker, J, Pu, J, Cama, J, Simoes, J, Cozens, J, Barbosa-Breda, J, Ribeiro, J, De Haro, J, Nigh, J, Bowen, J, Pollok, J, Strotmann, J, Doerner, J, Edwards, J, Green, J, Massoud, J, Mcgrath, J, Squiers, J, Street, J, Windsor, J, Santoshi, J, Meara, J, Abebrese, J, Reilly, J, Zabaleta, J, Phillips, J, Herron, J, Horsnell, J, Dawson, J, Sheen, J, Kauppila, J, Konsten, J, Raurich-Leandro, J, Romera, J, Nuñez, J, Gass, J, Blanco, J, Calvache, J, Iturralde, J, D’Addino, J, Hermosa, J, Guillen, J, Beristain-Hernandez, J, Sole-Sedeno, J, Vives, J, Attwood, J, Furey, J, Hadaya, J, Mckay, J, Meilak, J, Natale, J, Shalhoub, J, Jung, J, Arthur, J, Kealey, J, Wright, J, Moreau, J, Miskovic, J, Juloski, J, Bauset, J, Segura-Sampedro, J, Cisneros, J, Gomez-Rosado, J, Arneja, J, Heider, J, Fernández, J, Plata-Bello, J, Villanueva, J, Olaogun, J, Hing, J, Košir, J, Daruwalla, J, Yeung, J, Wormald, J, Seyi-Olajide, J, Rani, J, Wong, K, Hristova, K, Kajal, K, Algarni, K, Theivendran, K, Futaba, K, Elsayem, K, Kapur, K, Bailey, K, El-Boghdadly, K, Ataya, K, Lacorbiniere, K, Shah, K, Tellez, K, Szyluk, K, Rangasamy, K, Iyengar, K, Szabómihályová, K, Atkinson, K, Camargo-Parra, K, Galliard, K, Dickson, K, Singh, K, Qader, K, Hasan, K, Spellar, K, Feeney, K, Ajenifuja, K, Oh, K, Okunade, K, Adanu, K, Bateman, K, Saracoglu, K, Ho, K, Enwerem, K, Mishra, K, Verhoeff, K, Bensoltane, K, Larabi, K, Hamdan, K, Nadi, K, Fozo, K, Abdelwahab, K, Al-Sayaghi, K, Dajani, K, Algahtany, K, Abdel-Galil, K, Ahmed, K, Bajunaid, K, Bhatti, K, Sofi, K, Abdulsalam, K, Tamoos, K, Dzhumabaev, K, Samo, K, Purich, K, Madhvani, K, Qin, K, Underwood, K, Senanayake, K, Augestad, K, Sigamoney, K, Apostolou, K, Bouchagier, K, Bouliaris, K, Bramis, K, Gousias, K, Lasithiotakis, K, Paraskevopoulos, K, Perivoliotis, K, Roditis, K, Stamatis, K, Stroumpoulis, K, Paraskevas, K, Govindarajan, K, Šimko, K, Olson, K, Khobragade, K, Seah, K, Kishore, K, Ayad, K, Papavasiliou, K, Angelou, K, Paniagua, L, Czako, L, Ching, L, Rai, L, Gupta, L, Ismail, L, Mbodi, L, Dasanayake, L, Schröder, L, Baiyewu, L, Fortuna, L, Fernandez, L, Vivancos, L, Jack, L, Keçi, L, Lavalle, L, Leonard, L, Shelmerdine, L, Vaassen, L, Hasan, L, Lazarou, L, Tzelves, L, Matos, L, Siragusa, L, Licari, L, Lima, L, Solaini, L, Lichman, L, Moral, L, Cabeza, L, Kaplan, L, Valeanu, L, Kaman, L, Karout, L, Pieteris, L, Chan, L, Grüßer, L, Zamora, L, Catarzi, L, Rampersad, L, Anyanwu, L, Cheung, L, Rodríguez, L, Andreani, L, Cobianchi, L, Petagna, L, Howse, L, Gonzalez, L, Bains, L, Vohra, L, Ansaloni, L, Bertolaccini, L, Ferrario, L, Orecchia, L, Tirloni, L, Zanin, L, Morelli, L, Scaravilli, L, Locatello, L, García, L, Vida, L, Carbone, L, Heindl, L, Bonavina, L, Conti, L, Marano, L, Verre, L, Conte, L, Boccalatte, L, Tellez, L, Loureiro, L, Sánchez-Guillén, L, Tallon-Aguilar, L, Nakano, L, Alvarez-Lozada, L, Flórez, L, Capitan-Morales, L, Kowalski, L, Widmer, L, Harper, L, Render, L, Wheldon, L, Abdur-Rahman, L, Doğan, L, Prusty, L, Katsiaras, L, Gourbault, L, Siddiqui, M, Saleh, M, Karthigeyan, M, Rodriguez, M, Chowdhury, M, Nagappa, M, Sultania, M, Bashir, M, Alam, M, Elshahawy, M, Elfiky, M, Loubani, M, Marei, M, Mewafy, M, Alali, M, Nassar, M, Alobied, M, Bilfaqirah, M, Ahmad, M, Rius, M, Manangi, M, Dornseifer, M, Tripathi, M, S, M, Sokolov, M, Pigeolet, M, Alonso, M, Losada, M, Carretero, M, Tousidonis, M, Cotovio, M, Wijeyaratne, M, Boira, M, Franza, M, Albdour, M, Alkhatieb, M, Déserts, M, Niewiera, M, Vallve-Bernal, M, Kavanagh, M, Migliore, M, Calabrò, M, Martino, M, Reicher, M, Baia, M, Caricato, M, Clementi, M, De Zuanni, M, Fiore, M, Giacometti, M, Inama, M, Maestri, M, Materazzo, M, Sparavigna, M, Pascale, M, Nemeth, M, Serra, M, Fahim, M, Soucheiron, M, Papadoliopoulou, M, Wittmann, M, Sotiropoulou, M, García-Conde, M, Ranucci, M, Amo, M, Boedo, M, Velázquez, M, Pissaridou, M, Petersen, M, Sacras, M, Modolo, M, Caubet, M, Di Nuzzo, M, Ntalouka, M, Menna, M, Aguilera-Arevalo, M, Rela, M, Capuano, M, Hollyman, M, Olivos, M, Sacdalan, M, Raphael, M, Takkenberg, M, Bortul, M, Cabrera, M, Castaño, M, D'Oria, M, Giuffrida, M, Laborde, M, Rodriguez-Lopez, M, Trejo-Avila, M, Papa, M, Ghobrial, M, Kryzauskas, M, Anwer, M, Cheetham, M, Davies, M, Higgins, M, Siboe, M, Tarle, M, Velten, M, Wurm, M, Süleyman, M, Bauer, M, O’Dwyer, M, Caretto, M, De La Rosa-Estadella, M, Fragoso, M, Merayo, M, Golet, M, Martínez-Sánchez, M, Domingo, M, Gosselink, M, Batstone, M, Reichert, M, Salö, M, Soljic, M, Zambon, M, Angeles, M, Abdulkhaleq, M, Abdelkarim, M, Alsefri, M, Iwasaki, M, Shiota, M, Veroux, M, Molina-Corbacho, M, Frasson, M, Serenari, M, De Pastena, M, Desio, M, Risaliti, M, Rottoli, M, Bence, M, Chan, M, Watson, M, Wiles, M, Boisson, M, Berselli, M, Capobianco, M, Di Bartolomeo, M, Fehervari, M, Pacilli, M, Romano, M, Zizzo, M, Domanin, M, Montuori, M, Podda, M, Zago, M, Dzogbefia, M, Frountzas, M, Thaw, M, Al-Juaifari, M, Gharat, M, Mohamed, M, Hannan, M, Venketeswaran, M, Chisthi, M, Dessalegn, M, Kaplan, M, Çakıcı, M, Ulutaş, M, Hassan, M, Elsadek, M, Mengesha, M, Gómez, M, Elbadawy, M, Pitcher, M, Tanal, M, Tokocin, M, Ergenç, M, Çelik, M, Bareka, M, Pekcici, M, Cappuccio, M, Dasa, M, Dewan, M, El Boghdady, M, Ezeanochie, M, Greenhalgh, M, Jenkinson, M, Kelly, M, Spartalis, M, Zyskowski, M, Racine, M, De Cillia, M, Chu, M, Mallmann, M, Zhu, M, Klimovskij, M, Vailas, M, Kisielewski, M, Adamina, M, Campanelli, M, Carvello, M, Ammendola, M, Manigrasso, M, Scopelliti, M, White, M, Collins, M, Chevallay, M, Borges, M, Mayo-Yáñez, M, Melo, M, Ruiz-Marín, M, Eiras, M, Cunha, M, Pertea, M, Slavchev, M, Davidescu, M, Prieto, M, Agapov, M, Gahwagi, M, Prats, M, Rudic, M, Verbic, M, Kostusiak, M, Stoleriu, M, Lucas, M, Barone, M, Alemu, M, Fatima, M, Ida, M, Sahu, M, Muhaisen, M, Salem, M, Emara, M, Oludara, M, Sotudeh, M, Kassab, M, Abdelkhalek, M, Alsori, M, Anwar, M, El-Kassas, M, Elbahnasawy, M, Eldabaa, M, Rabie, M, Hassanin, M, Thaha, M, Ali, M, Alhamid, M, Almoshantaf, M, Keramati, M, Bafaquh, M, Abuzaid, M, Al-Shehari, M, Alharthi, M, Alkahlan, M, Alwash, M, Alyousef, M, Amir, M, Basendowah, M, Deputy, M, Jibreel, M, Alsharif, M, Issahalq, M, Omer, M, Abubakar, M, Draman, M, Elnour, M, Eltayeb, M, Castillo, M, Jawad, M, Raut, M, Ghalleb, M, Katsura, M, Lebe, M, Abbas, M, Abdelrahman, M, Shalaby, M, Farhan-Alanie, M, Farooq, M, Musadaq, M, Arshad, M, Anjum, M, Usman, M, Chaudhary, M, Raza, M, Karim, M, Janjua, M, Khokhar, M, Malik, M, Pirzada, M, Younis, M, Elhadi, M, Suer, M, Binnawara, M, Emmanuel, M, Abbasi, M, Naimzada, M, Kulimbet, M, Kusunoki, M, Eugene, M, Chauhan, M, Shokor, M, Aljiffry, M, Kalın, M, Kurawa, M, Dincer, M, Tolani, M, Soytas, M, Yakubu, M, Aremu, M, Paranyak, M, Talat, N, Kausar, N, Dudi-Venkata, N, Bazzi, N, Hasan, N, Van Wyk, N, Shaban, N, Almgla, N, Kandevani, N, Alzerwi, N, Alvarez, N, Motas, N, Rincón, N, Blencowe, N, Simon, N, Aghtarafi, N, Ghuman, N, Sharma, N, Wijekoon, N, Kumar, N, Hassan, N, Onyemaechi, N, Prijović, N, Özçay, N, Goel, N, Segaren, N, Kalyva, N, Palacios, N, Alonso, N, Onyeagwara, N, Petrucciani, N, Daddi, N, Lightfoot, N, Power, N, Starr, N, Dreger, N, Cillara, N, Colucci, N, Eardley, N, Tartaglia, N, Zanini, N, Bacalbasa, N, Campuzano, N, Mouawad, N, Federico, N, Tamini, N, Mariani, N, Beasley, N, Adu-Aryee, N, Burlov, N, Dimitrokallis, N, Gouvas, N, Machairas, N, Memos, N, Thomakos, N, Tsakiridis, N, Schizas, N, Börner, N, Theochari, N, Al-Saadi, N, Glass, N, Horesh, N, R, N, Gahlot, N, Ismail, N, Aljirdabi, N, Maria, N, Trabulsi, N, Akeel, N, Borges, N, Moda, N, Redondo, N, Nyarko, O, Ginghina, O, Enciu, O, Okere, O, Ekwunife, O, Quadri, O, Ogundoyin, O, Tucker, O, Mateo-Sierra, O, Azzis, O, Ojewuyi, O, Habeeb, O, Idowu, O, Elebute, O, Agboola, O, Ladipo-Ajayi, O, Oyinloye, O, Adebola, O, Ekor, O, Salamanca, O, Vergara-Fernandez, O, Wafi, O, Aladawi, O, Bahassan, O, Tammo, Ö, Ozkan, O, Williams, O, Salami, O, Akinajo, O, Sakhov, O, Gallo, O, Sole, O, Milella, O, Alser, O, Bettar, O, Alomar, O, Osman, O, Aisuodionoe-Shadrach, O, Basnayake, O, Bozbiyik, O, Hodges, O, Ojo, O, Yanık, Ö, Mutlu, Ö, Kazan, O, Calavia, P, García, P, Urriza, P, Lopez, P, Christidis, P, Dorovinis, P, Kokoropoulos, P, Mourmouris, P, Papatheodorou, P, Garg, P, Patel, P, Vassiliu, P, Campennì, P, De Nardi, P, Bernante, P, Ubiali, P, Baroffio, P, Pizzini, P, Sapienza, P, Myrelid, P, Chatzikomnitsa, P, Tsiantoula, P, Gada, P, Avella, P, Cianci, P, Romero, P, Méndez, P, Pazmiño, P, Coughlin, P, Kirchweger, P, Pessaux, P, Maguire, P, Petrone, P, Cullis, P, Köglberger, P, Marriott, P, Nankivell, P, Santos-Costa, P, Martins, P, Panahi, P, Botelho, P, Teixeira, P, Escobar, P, Vázquez, P, Gribnev, P, Nolte, P, Agbonrofo, P, Bobak, P, Choong, P, Elbe, P, Hutchinson, P, Labib, P, Paal, P, Pockney, P, Reemst, P, Szatmary, P, Vaughan-Shaw, P, Alexander, P, Pucher, P, Stather, P, Foessleitner, P, Winnand, P, Zehnder, P, Kruse, P, Matos, P, Lapolla, P, Cicerchia, P, Solli, P, Di Lascio, P, Zarif, P, Champagne, P, Anoldo, P, Bertoglio, P, Fransvea, P, Familiari, P, Lombardi, P, Stogowski, P, Bruzzaniti, P, Tripathi, P, D'Sa, P, Salunke, P, Shah, P, Punjabi, P, Christodoulou, P, Hamdan, Q, Tawalbeh, R, Gadelkareem, R, Awad, R, Callcut, R, Clegg, R, Choron, R, Payne, R, Gefen, R, Costea, R, Drasovean, R, Mirica, R, Ravindra, R, Fajardo, R, Nunes, R, Aspide, R, Lombardi, R, Vidya, R, Elboraei, R, Saaid, R, Ghodke, R, Gupta, R, Sharma, R, Lunevicius, R, Kalayarasan, R, Mohan, R, Singh, R, Sivaprakasam, R, Seenivasagam, R, Rajendram, R, Radulescu, R, Goicea, R, Seshadri, R, Sarı, R, Nataraja, R, Aslam, R, Abdelemam, R, Shrestha, R, Bharathan, R, Pellini, R, Guevara, R, Agarwal, R, Vissapragada, R, Alharmi, R, Sayyed, R, Browning, R, Critchley, R, Mallick, R, Alarabi, R, Beron, R, Függer, R, Othman, R, Saad, R, Amores, R, Colombari, R, Radivojević, R, Patrone, R, Novysedlák, R, Huatuco, R, Baertschiger, R, Liang, R, Luckwell, R, Escrevente, R, Rezende, R, Cruz, R, Lenzi, R, Rosati, R, Donovan, R, Egan, R, Morris, R, Page, R, Seglenieks, R, Unsworth, R, Wilkin, R, Skipworth, R, Davies, R, Bezirci, R, Talwar, R, Azami, R, Bohmer, R, Crichton, R, Fruscio, R, Hooker, R, Jach, R, Parker, R, Pillerstorff, R, Sinnerton, R, Stabler, R, O'Connell, R, Ragozzino, R, Tutino, R, Angelico, R, Cammarata, R, Colasanti, R, Macchiavello, R, Peltrini, R, Pirrello, R, Vaschetti, R, Pires, R, Papalia, R, Arrangoiz, R, Hompes, R, Salah, R, Pinto, R, Flumignan, R, Callan, R, Cuthbert, R, Dennis, R, Scaramuzzo, R, Macías, R, Sánchez, R, Ogu, R, Ramely, R, Sgarzani, R, Ramli, R, Hillier, R, Thumbadoo, R, Ooi, R, Abdus-Salam, R, Masri, R, Hodgson, R, Mathew, R, Wade, R, D'Archi, S, Khan, S, Ngaserin, S, Kale, S, Hassan, S, Merghani, S, Benamar, S, Muhammad, S, Badran, S, Elsahli, S, Heta, S, Hammouche, S, Baeesa, S, Paiella, S, Eldeen, S, Arkani, S, Mittal, S, Hirji, S, Tebha, S, Emile, S, Dbouk, S, Bandyopadhyay, S, Olori, S, Asirifi, S, Hailu, S, Ling, S, Newman, S, Ross, S, Wanjara, S, Kumar, S, Seneviratne, S, Tamburello, S, Suarez, S, Ingallinella, S, Irshaidat, S, Konswa, S, Mambrilla, S, Nasser, S, Parini, S, Pitoni, S, Ornaghi, S, Rodrigues, S, Abdelmohsen, S, Aitken, S, Tian, S, Badiani, S, Ahmad, S, Swed, S, Muthu, S, Lakpriya, S, Alzahrani, S, Mikalauskas, S, Lasrado, S, Satoskar, S, Bawa, S, Altiner, S, Garcia, S, Stevens, S, Demir, S, Ken-Amoah, S, Tranca, S, Ziemann, S, Awad, S, Atici, S, Subramaniam, S, Erel, S, Jiang, S, Efetov, S, Efremov, S, Katorkin, S, Valladares, S, Contreras, S, Meriç, S, Zenger, S, Safi, S, Leventoğlu, S, Elsalhawy, S, Shaikh, S, Sheik, S, Islam, S, Shamim, S, Waqar, S, Farid, S, Seraj, S, Sundarraju, S, Karandikar, S, Sambhwani, S, Chopra, S, Chowdhury, S, Laura, S, Ahmed, S, Wason, S, Tan, S, Fraser, S, Williams, S, Ghozy, S, Abdelmawgoud, S, Shehata, S, Sharma, S, Al-Touny, S, Ramzanali, S, Nah, S, Jansen, S, Rajan, S, Dindyal, S, Amin, S, Shoukrie, S, Karar, S, Patkar, S, Abdulsalam, S, Lin, S, Hegde, S, Fiorelli, S, Quaresima, S, Redondo, S, Palmisano, S, Ruggiero, S, Balogun, S, Cais, S, Cole, S, Federer, S, Le Roux, S, Ippoliti, S, Meneghini, S, Viola, S, Manfredelli, S, Novello, S, Gananadha, S, Mesli, S, Tani, S, Malik, S, Anastasiadou, S, Boligo, S, Esposito, S, Valanci, S, Xenaki, S, Pejkova, S, Trungu, S, Basu, S, Alkhatib, S, Pérez-Bertólez, S, Flores, S, Donoghue, S, Lunca, S, Orsoo, S, Potamianos, S, Devarakonda, S, Suresh, S, Croghan, S, Turi, S, Capella, S, Lucchini, S, Magnone, S, Salizzoni, S, Scabini, S, Scaringi, S, Cioffi, S, Seyfried, S, Degener, S, Potten, S, Taha-Mehlitz, S, Ali, S, Angamuthu, S, Mcaleer, S, Knight, S, White, S, Mantziari, S, Kykalos, S, Goh, S, Ibrahim, S, Elzwai, S, Bansal, S, Tripathy, S, Amrayev, S, Anwar, S, Banerjee, S, Thakar, S, Saeed, S, Venkatappa, S, Das, S, Techapongsatorn, S, Dube, S, Lee, S, González-Suárez, S, Henriques, S, Konjevoda, S, Gisbertz, S, Bravo, S, Mannan, S, Bukhari, S, Zafar, S, Batista, S, Chin, S, Arif, T, Lawal, T, Aktokmakyan, T, Osborn, T, Szakmany, T, Sztipits, T, Triantafyllou, T, Valadez, T, Singh, T, Khaliq, T, Patel, T, Fadalla, T, Jichi, T, Sammour, T, Al-Shaiji, T, Naggs, T, Barišić, T, Nikolouzakis, T, Bisgin, T, Perra, T, Uprak, T, Dagklis, T, Liakakos, T, Sidiropoulos, T, Adjeso, T, Dölker, T, Oung, T, Aherne, T, Diehl, T, Pinkney, T, Raymond, T, Rhomberg, T, Schmitz-Rixen, T, Madhuri, T, Lohmann, T, Yeoh, T, Zaimis, T, Bright, T, Vilz, T, Glowka, T, Board, T, Hardcastle, T, Cohnert, T, Mahečić, T, William, T, Klatte, T, Abbott, T, Watcyn-Jones, T, Mendes, T, Kulis, T, Sečan, T, Campagnaro, T, Frisoni, T, Simoncini, T, Violante, T, Safranovs, T, Risteski, T, Pang, T, Akinyemi, T, Yotsov, T, Laeke, T, Kochiyama, T, Sholadoye, T, Alekberli, T, Ezomike, U, Giustizieri, U, Grossi, U, Köksoy, Ü, Bork, U, Kisser, U, Ronellenfitsch, U, Saeed, U, Bracale, U, Jayarajah, U, Rauf, U, Bumbasirevic, U, Ferrer, U, Ahmed, U, Bello, U, Jogiat, U, Sadia, U, Galandarov, V, Narayanan, V, Calu, V, Bianchi, V, Ciniero, V, Tonini, V, Silvestri, V, Vijay, V, Dewan, V, Lohsiriwat, V, Thuduvage, V, Mousafeiris, V, Dragisic, V, Sasireka, V, Santric, V, Kusuma, V, Kolli, V, Alonso, V, De Simone, V, Picotti, V, Martínez, V, Panduro-Correa, V, Kakotkin, V, Angulo, V, Turrado-Rodriguez, V, Krishnamoorthy, V, Ban, V, Shah, V, Maiola, V, Giordano, V, La Vaccara, V, Lizzi, V, Papagni, V, Schiavone, V, Satchithanantham, V, Garcia-Virto, V, Jimenez, V, Kumar, V, Shelat, V, Bhat, V, Sodhai, V, Graziadei, V, Kutuzov, V, Stoyanov, V, Oktseloglou, V, Flis, V, Elhassan, W, Yang, W, Soon, W, Tashkandi, W, Al-Khyatt, W, Mabood, W, Bijou, W, Wijenayake, W, D, W, Krawczyk, W, Atkins, W, Bolton, W, White, W, Ceelen, W, Vagena, X, Gozal, Y, Baba, Y, Subramani, Y, Jansen, Y, Mittal, Y, Kara, Y, Zwain, Y, Noureldin, Y, Alawneh, Y, Aydin, Y, Lam, Y, Tang, Y, Lim, Y, Dean, Y, Tanas, Y, Su, Y, Fujimoto, Y, Altinel, Y, Frolova, Y, Oshodi, Y, Fadel, Z, Zahid, Z, Elahi, Z, Djama, Z, Zaheen, Z, Jawad, Z, Demetrashvili, Z, Gebremeskel, Z, Gudisa, Z, Alyami, Z, Garoufalia, Z, Li, Z, Zimak, Z, Radin, Z, and Balogh, Z
Subjects: general surgery, acute care surgery, Settore MED/18 - CHIRURGIA GENERALE, climate change, trauma, Settore MED/40 - Ginecologia E Ostetricia, environmental impact, surgery, Settore MED/31 - Otorinolaringoiatria, None, Medicine and Health Sciences, Surgery, operating theatre, environment
Abstract: Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries.
Published: 2023

15. Utilization of mechanical power and associations with clinical outcomes in brain injured patients: a secondary analysis of the extubation strategies in neuro-intensive care unit patients and associations with outcome (ENIO) trial

Author: Wahlster, Sarah, Sharma, Monisha, Taran, Shaurya, Town, James A, Stevens, Robert D, Cinotti, Raphaël, Asehoune, Karim, Pelosi, Paolo, Robba, Chiara, Paër-Sélim Abback, Anaïs Codorniu, Giuseppe Citerio, Vittoria Ludovica Sala, Marinella Astuto, Eleonora Tringali, Daniela Alampi, Monica Rocco, Jessica Giuseppina Maugeri, Agrippino Bellissima, Matteo Filippini, Nicoletta Lazzeri, Andrea Cortegiani, Mariachiara Ippolito, Denise Battaglini, Patrick Biston, Mohamed Fathi Al-Gharyani, Russell Chabanne, Léo Astier, Benjamin Soyer, Samuel Gaugain, Alice Zimmerli, Urs Pietsch, Miodrag Filipovic, Giovanna Brandi, Giulio Bicciato, Ainhoa Serrano, Berta Monleon, Peter van Vliet, Benjamin Marcel Gerretsen, Iris Xochitl Ortiz-Macias, Jun Oto, Noriya Enomoto, Tomomichi Matsuda, Nobutaka Masui, Pierre Garçon, Jonathan Zarka, Wytze J Vermeijden, Alexander Daniel Cornet, Sergio Reyes Inurrigarro, Rafael Cirino Lara Domínguez, Maria Mercedes Bellini, Maria Milagros Gomez Haedo, Laura Lamot, Jose Orquera, Matthieu Biais, Delphine Georges, Arvind Baronia, Roberto Carlos Miranda-Ackerman, Francisco José Barbosa-Camacho, John Porter, Miguel Lopez-Morales, Thomas Geeraerts, Baptiste Compagnon, David Pérez-Torres, Estefanía Prol-Silva, Hana Basheer Yahya, Ala Khaled, Mohamed Ghula, Cracchiolo Neville Andrea, Palma Maria Daniela, Cristian Deana, Luigi Vetrugno, Manuel J Rivera Chavez, Rocio Mendoza Trujillo, Vincent Legros, Benjamin Brochet, Olivier Huet, Marie Geslain, Mathieu van der Jagt, Job van Steenkiste, Hazem Ahmed, Alexander Edward Coombs, Jessie Welbourne, Ana Alicia Velarde Pineda, Víctor Hugo Nubert Castillo, Mohammed A Azab, Ahmed Y Azzam, David Michael Paul van Meenen, Gilberto Adrian Gasca, Alfredo Arellano, Forttino Galicia-Espinosa, José Carlos García-Ramos, Ghanshyam Yadav, Amarendra Kumar Jha, Vincent Robert-Edan, Pierre-Andre Rodie-Talbere, Gaurav Jain, Sagarika Panda, Sonika Agarwal, Yashbir Deewan, Syed Tariq Reza, Md Mozaffer Hossain, Christos Papadas, Vasiliki Chantziara, Chrysanthi Sklavou, Yannick Hourmant, Nicolas Grillot, Romain Pirracchio, Abdelraouf Akkari, Mohamed Abdelaty, Ahmed Hashim, Yoann Launey, Elodie Masseret, Sigismond Lasocki, Soizic Gergaud, Nicolas Mouclier, Sulekha Saxena, Avinash Agrawal, Shakti Bedanta Mishra, Samir Samal, Julio Cesar Mijangos, Mattias Haënggi, Mohan Gurjar, Marcus J Schultz, Callum Kaye, Daniela Agustin Godoy, Pablo Alvarez, Aikaterini Ioakeimidou, Yoshitoyo Ueno, Rafael Badenes, Abdurrahmaan Ali Suei Elbuzidi, Michaël Piagnerelli, Muhammed Elhadi, Jean Catherine Digitale, Nicholas Fong, Ricardo Campos Cerda, Norma de la Torre Peredo, Wahlster, S, Sharma, M, Taran, S, Town, J, Stevens, R, Cinotti, R, Asehoune, K, Pelosi, P, Robba, C, Abback, P, Codorniu, A, Citerio, G, Sala, V, Astuto, M, Tringali, E, Alampi, D, Rocco, M, Maugeri, J, Bellissima, A, Filippini, M, Lazzeri, N, Cortegiani, A, Ippolito, M, Battaglini, D, Biston, P, Al-Gharyani, M, Chabanne, R, Astier, L, Soyer, B, Gaugain, S, Zimmerli, A, Pietsch, U, Filipovic, M, Brandi, G, Bicciato, G, Serrano, A, Monleon, B, van Vliet, P, Gerretsen, B, Ortiz-Macias, I, Oto, J, Enomoto, N, Matsuda, T, Masui, N, Garcon, P, Zarka, J, Vermeijden, W, Cornet, A, Inurrigarro, S, Dominguez, R, Bellini, M, Gomez Haedo, M, Lamot, L, Orquera, J, Biais, M, Georges, D, Baronia, A, Miranda-Ackerman, R, Barbosa-Camacho, F, Porter, J, Lopez-Morales, M, Geeraerts, T, Compagnon, B, Perez-Torres, D, Prol-Silva, E, Yahya, H, Khaled, A, Ghula, M, Andrea, C, Daniela, P, Deana, C, Vetrugno, L, Chavez, M, Trujillo, R, Legros, V, Brochet, B, Huet, O, Geslain, M, van der Jagt, M, van Steenkiste, J, Ahmed, H, Coombs, A, Welbourne, J, Velarde Pineda, A, Nubert Castillo, V, Azab, M, Azzam, A, van Meenen, D, Gasca, G, Arellano, A, Galicia-Espinosa, F, Garcia-Ramos, J, Yadav, G, Jha, A, Robert-Edan, V, Rodie-Talbere, P, Jain, G, Panda, S, Agarwal, S, Deewan, Y, Reza, S, Hossain, M, Papadas, C, Chantziara, V, Sklavou, C, Hourmant, Y, Grillot, N, Pirracchio, R, Akkari, A, Abdelaty, M, Hashim, A, Launey, Y, Masseret, E, Lasocki, S, Gergaud, S, Mouclier, N, Saxena, S, Agrawal, A, Mishra, S, Samal, S, Mijangos, J, Haenggi, M, Gurjar, M, Schultz, M, Kaye, C, Godoy, D, Alvarez, P, Ioakeimidou, A, Ueno, Y, Badenes, R, Suei Elbuzidi, A, Piagnerelli, M, Elhadi, M, Digitale, J, Fong, N, Cerda, R, de la Torre Peredo, N, Wahlster, Sarah, Sharma, Monisha, Taran, Shaurya, Town, James A, Stevens, Robert D, Cinotti, Raphaël, Asehoune, Karim, Pelosi, Paolo, Robba, Chiara, and Paër-Sélim Abback, Anaïs Codorniu, Giuseppe Citerio, Vittoria Ludovica Sala, Marinella Astuto, Eleonora Tringali, Daniela Alampi, Monica Rocco, Jessica Giuseppina Maugeri, Agrippino Bellissima, Matteo Filippini, Nicoletta Lazzeri, Andrea Cortegiani, Mariachiara Ippolito, Denise Battaglini, Patrick Biston, Mohamed Fathi Al-Gharyani, Russell Chabanne, Léo Astier, Benjamin Soyer, Samuel Gaugain, Alice Zimmerli, Urs Pietsch, Miodrag Filipovic, Giovanna Brandi, Giulio Bicciato, Ainhoa Serrano, Berta Monleon, Peter van Vliet, Benjamin Marcel Gerretsen, Iris Xochitl Ortiz-Macias, Jun Oto, Noriya Enomoto, Tomomichi Matsuda, Nobutaka Masui, Pierre Garçon, Jonathan Zarka, Wytze J Vermeijden, Alexander Daniel Cornet, Sergio Reyes Inurrigarro, Rafael Cirino Lara Domínguez, Maria Mercedes Bellini, Maria Milagros Gomez Haedo, Laura Lamot, Jose Orquera, Matthieu Biais, Delphine Georges, Arvind Baronia, Roberto Carlos Miranda-Ackerman, Francisco José Barbosa-Camacho, John Porter, Miguel Lopez-Morales, Thomas Geeraerts, Baptiste Compagnon, David Pérez-Torres, Estefanía Prol-Silva, Hana Basheer Yahya, Ala Khaled, Mohamed Ghula, Cracchiolo Neville Andrea, Palma Maria Daniela, Cristian Deana, Luigi Vetrugno, Manuel J Rivera Chavez, Rocio Mendoza Trujillo, Vincent Legros, Benjamin Brochet, Olivier Huet, Marie Geslain, Mathieu van der Jagt, Job van Steenkiste, Hazem Ahmed, Alexander Edward Coombs, Jessie Welbourne, Ana Alicia Velarde Pineda, Víctor Hugo Nubert Castillo, Mohammed A Azab, Ahmed Y Azzam, David Michael Paul van Meenen, Gilberto Adrian Gasca, Alfredo Arellano, Forttino Galicia-Espinosa, José Carlos García-Ramos, Ghanshyam Yadav, Amarendra Kumar Jha, Vincent Robert-Edan, Pierre-Andre Rodie-Talbere, Gaurav Jain, Sagarika Panda, Sonika Agarwal, Yashbir Deewan, Gilberto Adrian Gasca, Alfredo Arellano, Syed Tariq Reza, Md Mozaffer Hossain, Christos Papadas, Vasiliki Chantziara, Chrysanthi Sklavou, Yannick Hourmant, Nicolas Grillot, Job van Steenkiste, Mathieu van der Jagt, Romain Pirracchio, Abdelraouf Akkari, Mohamed Abdelaty, Ahmed Hashim, Yoann Launey, Elodie Masseret, Sigismond Lasocki, Soizic Gergaud, Nicolas Mouclier, Sulekha Saxena, Avinash Agrawal, Shakti Bedanta Mishra, Samir Samal, Julio Cesar Mijangos, Mattias Haënggi, Mohan Gurjar, Marcus J Schultz, Callum Kaye, Daniela Agustin Godoy, Pablo Alvarez, Aikaterini Ioakeimidou, Yoshitoyo Ueno, Rafael Badenes, Abdurrahmaan Ali Suei Elbuzidi, Michaël Piagnerelli, Muhammed Elhadi, Syed Tariq Reza, Jean Catherine Digitale, Nicholas Fong, Ricardo Campos Cerda, Norma de la Torre Peredo
Subjects: Mechanical power, Mechanical ventilation, Traumatic brain injury, Acute respiratory distress syndrome, Acute ischemic stroke, Acute brain injury, Intracranial hemorrhage, Subarachnoid hemorrhage
Abstract: Background: There is insufficient evidence to guide ventilatory targets in acute brain injury (ABI). Recent studies have shown associations between mechanical power (MP) and mortality in critical care populations. We aimed to describe MP in ventilated patients with ABI, and evaluate associations between MP and clinical outcomes. Methods: In this preplanned, secondary analysis of a prospective, multi-center, observational cohort study (ENIO, NCT03400904), we included adult patients with ABI (Glasgow Coma Scale ≤ 12 before intubation) who required mechanical ventilation (MV) ≥ 24h. Using multivariable log binomial regressions, we separately assessed associations between MP on hospital day (HD)1, HD3, HD7 and clinical outcomes: hospital mortality, need for reintubation, tracheostomy placement, and development of acute respiratory distress syndrome (ARDS). Results: We included 1217 patients (mean age 51.2years [SD 18.1], 66% male, mean body mass index [BMI] 26.3 [SD 5.18]) hospitalized at 62 intensive care units in 18 countries. Hospital mortality was 11% (n = 139), 44% (n = 536) were extubated by HD7 of which 20% (107/536) required reintubation, 28% (n = 340) underwent tracheostomy placement, and 9% (n = 114) developed ARDS. The median MP on HD1, HD3, and HD7 was 11.9J/min [IQR 9.2-15.1], 13J/min [IQR 10-17], and 14J/min [IQR 11-20], respectively. MP was overall higher in patients with ARDS, especially those with higher ARDS severity. After controlling for same-day pressure of arterial oxygen/fraction of inspired oxygen (P/F ratio), BMI, and neurological severity, MP at HD1, HD3, and HD7 was independently associated with hospital mortality, reintubation and tracheostomy placement. The adjusted relative risk (aRR) was greater at higher MP, and strongest for: mortality on HD1 (compared to the HD1 median MP 11.9J/min, aRR at 17J/min was 1.22, 95% CI 1.14-1.30) and HD3 (1.38, 95% CI 1.23-1.53), reintubation on HD1 (1.64; 95% CI 1.57-1.72), and tracheostomy on HD7 (1.53; 95%CI 1.18-1.99). MP was associated with the development of moderate-severe ARDS on HD1 (2.07; 95% CI 1.56-2.78) and HD3 (1.76; 95% CI 1.41-2.22). Conclusions: Exposure to high MP during the first week of MV is associated with poor clinical outcomes in ABI, independent of P/F ratio and neurological severity. Potential benefits of optimizing ventilator settings to limit MP warrant further investigation.
Published: 2023

16. Limitations of the Food Compass Nutrient Profiling System

Author: Flaminia Ortenzi, Marit Kolby, Mark Lawrence, Frederic Leroy, Stella Nordhagen, Stuart Phillips, Stephan van Vliet, Ty Beal, Department of Bio-engineering Sciences, Social-cultural food-research, and Industrial Microbiology
Subjects: Micronutrient deficiencies, Nutrition and Dietetics, Nutrient profiling system, digestive, oral, and skin physiology, Food compass, Food rating system, Medicine (miscellaneous), Ultraprocessed foods
Abstract: Nutrient Profiling Systems provide frameworks to assess the healthfulness of foods based on food composition and are intended as inputs into strategies to improve diets. Many Nutrient Profiling Systems are founded on a reductionist assumption that the healthfulness of foods is determined by the sum of their individual nutrients, with no consideration for the extent and purpose of processing and its health implications. A novel Nutrient Profiling System called Food Compass attempted to address existing gaps and provide a more holistic assessment of the healthfulness of foods. We propose that the chosen algorithm is not well justified and produces results that fail to discriminate for common shortfall nutrients, exaggerate the risks associated with animal-source foods, and underestimate the risks associated with ultra-processed foods. We caution against the use of Food Compass in its current form to inform consumer choices, policies, programs, industry reformulations, and investment decisions.
Published: 2023

17. Dysregulation of developmental and cell type-specific expression of glycoconjugates on hematopoietic cells

Author: Margot F. van Spronsen, Sophie Horrevorts, Claudia Cali, Theresia M. Westers, Sofie Van Gassen, Yvan Saeys, Sandra J. van Vliet, Yvette van Kooyk, Arjan A. van de Loosdrecht, Hematology laboratory, CCA - Cancer biology and immunology, Molecular cell biology and Immunology, AII - Cancer immunology, Hematology, and AII - Inflammatory diseases
Subjects: Cancer Research, Oncology, Hematology
Published: 2023

18. Urinary concentrations of bisphenols and parabens and their association with attention, hyperactivity and impulsivity at adolescence

Author: Anne B. Foreman, Jana V. van Vliet-Ostaptchouk, Martijn van Faassen, Ido P. Kema, Bruce HR Wolffenbuttel, Pieter J.J. Sauer, Arend F. Bos, and Sietske A. Berghuis
Subjects: General Neuroscience, Toxicology
Published: 2023

19. Stroke survivor, caregiver and therapist experiences of home-based stroke rehabilitation: a thematic synthesis of qualitative studies

Author: Heidi Lavis, Paulette van Vliet, and Meredith Tavener
Subjects: Rehabilitation, Orthopedics and Sports Medicine, Physical Therapy, Sports Therapy and Rehabilitation
Published: 2023

20. Gamma-Glutamyl Transferase: A Friend against Cholestatic Itch? A Retrospective Observational Data Analysis in Patients with Extrahepatic Cholestasis

Author: Floris W. Haijer, Cornelis B. Van Vliet, Marjolein G. J. Brusse-Keizer, Job A. M. Van der Palen, Marjo J. Kerbert-Dreteler, and Jeroen J. Kolkman
Subjects: Article Subject, Hepatology
Abstract: Background and Aim of This Study. Itch frequently occurs in patients with chronic cholestasis. However, it remains unclear why some patients do and others do not develop pruritus. In addition, drug treatment is frequently ineffective. We repeatedly observed that cholestatic patients without itch had a relatively high serum gamma-glutamyl transpeptidase (GGT), relative to their serum bilirubin. The aim of this study was to validate this clinical observation. Methods. We included 235 patients with chronic extrahepatic cholestasis due to pancreatic cancer, cholangiocarcinoma, or papillary carcinoma. Results. GGT was significantly higher in patients without pruritus (median 967, IQR 587–1571) compared to patients with pruritus (median 561 IQR 266–1084 IU/l) ( p < 0.01 ). In contrast, median alkaline phosphatase (AP) was 491 U/L (IQR; 353–684) in patients with pruritus and was not significantly different from 518 U/L (IQR; 353–726) in patients without pruritus ( p = 0.524 ). Direct bilirubin was significantly higher in patients with pruritus compared to patients without pruritus (168 μmol/L (IQR; 95–256) vs. 120 μmol/L (IQR; 56.75–185.5)) ( p < 0.01 ). After correcting for the extent of cholestasis via direct bilirubin, the negative association between GGT and pruritus remained significant and became stronger ( p < 0.001 ). Conclusion. Serum GGT activity is inversely associated with the presence of cholestatic itch in patients with chronic extrahepatic cholestasis.
Published: 2023

21. Rapid culture‐independent loop‐mediated isothermal amplification detection of antimicrobial resistance markers from environmental water samples

Author: Marwa M. Hassan, Arnoud H. M. van Vliet, Owen Higgins, Liam P. Burke, Alexandra Chueiri, Louise O'Connor, Dearbháile Morris, Terry J. Smith, and Roberto M. La Ragione
Subjects: Bioengineering, Applied Microbiology and Biotechnology, Biochemistry, Biotechnology
Published: 2023

22. Spatial self-organization of metabolism in microbial systems: A matter of enzymes and chemicals

Author: Alma Dal Co, Martin Ackermann, and Simon van Vliet
Subjects: Histology, Cell Biology, Pathology and Forensic Medicine
Abstract: Most bacteria live in dense, spatially structured communities such as biofilms. The high density allows cells to alter the local microenvironment, whereas the limited mobility can cause species to become spatially organized. Together, these factors can spatially organize metabolic processes within microbial communities so that cells in different locations perform different metabolic reactions. The overall metabolic activity of a community depends both on how metabolic reactions are arranged in space and on how they are coupled, i.e., how cells in different regions exchange metabolites. Here, we review mechanisms that lead to the spatial organization of metabolic processes in microbial systems. We discuss factors that determine the length scales over which metabolic activities are arranged in space and highlight how the spatial organization of metabolic processes affects the ecology and evolution of microbial communities. Finally, we define key open questions that we believe should be the main focus of future research. ISSN:2405-4720
Published: 2023

23. Application of sound absorption measurements according to EN 1793-5 on gabion walls

Author: Wout Schwanen and Willem Jan van Vliet
Abstract: The standard EN 1793-5 describes a method to determine the sound reflection index of road traffic noise reducing devices under direct sound field conditions in-situ. The method is commonly used to assess the intrinsic characteristics of conventional, absorptive noise barriers and yields results with a limited measurement uncertainty. Recently, the sound reflection index of a gabion wall was determined by means of the in-situ measurement method leading to unexpected results. An in-depth analysis was made of the results of the in-situ measurements on a conventional noise barrier and on a gabion wall. The main conclusion of this comparison is that application of the in-situ method on a gabion wall has a much higher measurement uncertainty than to be expected.
Published: 2023

24. In vivo imaging of cerebral glucose metabolism informs on subacute to chronic post-stroke tissue status – A pilot study combining PET and deuterium metabolic imaging

Author: Anu E Meerwaldt, Milou Straathof, Wija Oosterveld, Caroline L van Heijningen, Mandy MT van Leent, Yohana C Toner, Jazz Munitz, Abraham JP Teunissen, Charlotte C Daemen, Annette van der Toorn, Gerard van Vliet, Geralda AF van Tilborg, Henk M De Feyter, Robin A de Graaf, Elly M Hol, Willem JM Mulder, Rick M Dijkhuizen, Adult Psychiatry, Medical Biochemistry, ACS - Atherosclerosis & ischemic syndromes, Precision Medicine, and ICMS Core
Subjects: positron emission tomography, Fluorodeoxyglucose F18/metabolism, Middle Cerebral Artery/pathology, Deuterium/metabolism, Pilot Projects, Ischemic Stroke/pathology, deuterium metabolic imaging, Inbred C57BL, Brain/blood supply, Cerebral glucose metabolism, Stroke, Mice, Inbred C57BL, Mice, All institutes and research themes of the Radboud University Medical Center, Infarction, Middle Cerebral Artery/pathology, Neurology, Infarction, Positron-Emission Tomography, magnetic resonance imaging/spectroscopy, ischemic stroke, Animals, Glucose/metabolism, Neurology (clinical), Cardiology and Cardiovascular Medicine, Nanomedicine Radboud Institute for Molecular Life Sciences [Radboudumc 19]
Abstract: Contains fulltext : 291902.pdf (Publisher’s version ) (Open Access) Recanalization therapy after acute ischemic stroke enables restoration of cerebral perfusion. However, a significant subset of patients has poor outcome, which may be caused by disruption of cerebral energy metabolism. To assess changes in glucose metabolism subacutely and chronically after recanalization, we applied two complementary imaging techniques, fluorodeoxyglucose (FDG) positron emission tomography (PET) and deuterium ((2)H) metabolic imaging (DMI), after 60-minute transient middle cerebral artery occlusion (tMCAO) in C57BL/6 mice. Glucose uptake, measured with FDG PET, was reduced at 48 hours after tMCAO and returned to baseline value after 11 days. DMI revealed effective glucose supply as well as elevated lactate production and reduced glutamate/glutamine synthesis in the lesion area at 48 hours post-tMCAO, of which the extent was dependent on stroke severity. A further decrease in oxidative metabolism was evident after 11 days. Immunohistochemistry revealed significant glial activation in and around the lesion, which may play a role in the observed metabolic profiles. Our findings indicate that imaging (altered) active glucose metabolism in and around reperfused stroke lesions can provide substantial information on (secondary) pathophysiological changes in post-ischemic brain tissue.
Published: 2023

25. Large-scale submarine landslide drives long-lasting regime shift in slope sediment deposition

Author: Marina Dottore Stagna, Vittorio Maselli, and Arjan van Vliet
Subjects: Geology
Abstract: Submarine landslides and associated mass-transport deposits (MTDs) modify the physiography of continental margins and influence the evolution of submarine sediment routing systems. Previous studies highlighted the control of landslides and MTDs on subsequent sedimentary processes and deposits at spatial scales ranging from tens of centimeters to few kilometers, leaving a knowledge gap on how and for how long large-scale submarine landslides (i.e., headscarps wider than 50–100 km) may affect the stratigraphic evolution of continental margins. To fill this gap, we used three-dimensional seismic reflection data tied to an exploration well to investigate the impact of one of the largest submarine landslides discovered on Earth, the Mafia mega-slide (Mms) offshore Tanzania, on slope sediment deposition. Seismic data interpretation indicates that turbidite lobes/lobe complexes and coalescent mixed turbidite-contourite systems formed the pre-Mms stratigraphy between 38 and ca. 21 Ma (age of the Mms), whereas coarser-grained sheet turbidites and debrites accumulated after the Mms for ∼15 m.y., primarily on the topographic lows generated by the emplacement of the landslide. We interpret this drastic and long-lasting regime shift in sediment deposition to be driven by the increase in seafloor gradient and the capture and focus of feeding systems within the broad failed area. We propose that the extensive evacuation zones associated with such giant landslides can generate major “conveyor belts”, trapping land-derived material or sediments transported by along-slope processes such as bottom currents. During the progressive healing of the landslide escarpments, which may last for several million years, sand-prone facies are deposited primarily in the upper slope, filling up the accommodation space generated by the landslide, while deeper-water environments likely remain sediment starved or experience accumulation of finer-grained deposits. Our study provides new insights into the long-term response of slope depositional systems to large-scale submarine landslides, with implications for the transfer of coarse-grained sediments that can be applied to continental margins worldwide.
Published: 2023

26. Digital Twin of a Driver-in-the-Loop Race Car Simulation with Contextual Reinforcement Learning

Author: Siwei Ju, Peter van Vliet, Oleg Arenz, and Jan Peters
Subjects: Human-Computer Interaction, Control and Optimization, Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Computer Science Applications
Published: 2023

27. Youth Village Hedenesse: The Rise and Demise of a Progressive Youth Initiative

Author: Willem van Vliet—
Subjects: General Medicine
Published: 2023

28. Early TRAIL-engagement elicits potent multimodal targeting of melanoma by CD34+ progenitor cell-derived NK cells

Author: van Vliet, Amanda A., Peters, Ella, Vodegel, Denise, Steenmans, Daniëlle, Raimo, Monica, Gibbs, Susan, de Gruijl, Tanja D., Duru, Adil D., Spanholtz, Jan, and Georgoudaki, Anna-Maria
Abstract: Umbilical cord blood (UCB) CD34+ progenitor cell-derived natural killer (NK) cells exert efficient cytotoxicity against various melanoma cell lines. Of interest, the relative cytotoxic performance of individual UCB donors was consistent throughout the melanoma panel and correlated with IFNγ, TNF, perforin and granzyme B levels. Importantly, intrinsic perforin and Granzyme B load predicts NK cell cytotoxic capacity. Exploring the mode of action revealed involvement of the activating receptors NKG2D, DNAM-1, NKp30, NKp44, NKp46 and most importantly of TRAIL. Strikingly, combinatorial receptor blocking led to more pronounced inhibition of cytotoxicity (up to 95%) than individual receptor blocking, especially in combination with TRAIL-blocking, suggesting synergistic cytotoxic NK cell activity via engagement of multiple receptors which was also confirmed in a spheroid model. Importantly, lack of NK cell-related gene signature in metastatic melanomas correlates with poor survival highlighting the clinical significance of NK cell therapies as a promising treatment for high-risk melanoma patients.
Published: 2023

29. Shifts in the smart research agenda? 100 priority questions to accelerate sustainable energy futures

Author: Robison, Rosie, Skjølsvold, Tomas Moe, Hargreaves, Tom, Renström, Sara, Wolsink, Maarten, Judson, Emily, Pechancová, Viera, Demirbağ-Kaplan, Melike, March, Hug, Lehne, Johanna, Foulds, Chris, Bharucha, Zareen, Bilous, Liliia, Büscher, Christian, Carrus, Giuseppe, Darby, Sarah, Douzou, Sylvie, Drevenšek, Mojca, Frantál, Bohumil, Pereira, Ângela Guimarães, Karvonen, Andrew, Katzeff, Cecilia, Kola-Bezka, Maria, Laakso, Senja, Lettmayer, Gudrun, Parag, Yael, Sáfián, Fanni, Swora, Mariusz, Tjørring, Lise, van der Werff, Ellen, van Vliet, Bas, Wallenborn, Grégoire, and Wyckmans, Annemie
Subjects: Technology, ddc:600
Abstract: Energy transitions are at the top of global agendas in response to the growing challenges of climate change and international conflict, with the EU positioning itself as playing a pivotal role in addressing climate risks and sustainability imperatives. European energy transition policies identify ‘smart consumption’ as a key element of these efforts, which have previously been explored from a predominantly technical perspective thus often failing to identify or address fundamental interlinkages with social systems and consequences. This paper aims to contribute to interdisciplinary energy research by analysing a forward looking ‘Horizon Scan’ research agenda for smart consumption, driven by the Social Sciences and Humanities (SSH). Reflecting on an extensive systematic Delphi Method exercise surveying over 70 SSH scholars from various institutional settings across Europe, we highlight what SSH scholars see as future directions for smart consumption research. Building from seven thematic areas (under which are grouped 100 SSH research questions), the study identifies three key ‘shifts’ this new smart research agenda represents, when compared to previous agendas: (1) From technological inevitability to political choice, highlighting the need for a wider political critique, with the potential to open up discussions of the instrumentalisation of smart research; (2) From narrow representation to diverse inclusion, moving beyond the shortcomings of current discourses for engaging marginalised communities; and (3) From individual consumers to interconnected citizens, reframing smart consumption to offer a broader model of social change and governance. Social Sciences and Humanities scholarship is essential to address these shifts in meaningful (rather than tokenistic) ways. This agenda and the shifts it embodies represent key tools to enable better interdisciplinary working between SSH and teams from the technical and natural sciences.
Published: 2023

30. Pseudobudding: ruptured glands do not represent true tumor buds

Author: Haddad, Tariq Sami, van den Dobbelsteen, Luuk, Öztürk, Sonay K, Geene, Robin, Nijman, Isaäc J, Verrijp, Kiek, Jamieson, Nigel B, Wood, Colin, van Vliet, Shannon, Reuvers, Luuk, Achouiti, Soumia, Rutgers, Natasja, Brouwer, Nelleke, Simmer, Femke, Zlobec, Inti, Lugli, Alessandro, and Nagtegaal, Iris D
Subjects: 570 Life sciences, biology, 610 Medicine & health
Abstract: Tumor budding (TB) is a strong biomarker of poor prognosis in colorectal cancer and other solid cancers. TB is defined as isolated single cancer cells or clusters of up to four cancer cells at the invasive tumor front. In areas with a large inflammatory response at the invasive front, single cells and cell clusters surrounding fragmented glands are observed appearing like TB. Occurrence of these small groups is referred to as pseudobudding (PsB), which arises due to external influences such as inflammation and glandular disruption. Using a combination of orthogonal approaches, we show that there are clear biological differences between TB and PsB. TB is representative of active invasion by presenting features of epithelial-mesenchymal transition and exhibiting increased deposition of extracellular matrix within the surrounding tumor microenvironment (TME), whereas PsB represents a reactive response to heavy inflammation where increased levels of granulocytes within the surrounding TME are observed. Our study provides evidence that areas with a strong inflammatory reaction should be avoided in the routine diagnostic assessment of TB. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Published: 2023

31. Combined unspiked K–Ar and 40Ar/39Ar dating applied to the dating of 80–260 ka old Icelandic sub-glacial rhyolites

Author: Guillou, Herve, Scao, Vincent, Nomade, Sébastien, van Vliet-Lanoë, Brigitte, Liorzou, Céline, Guðmundsson, Ágúst, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Paléocéanographie (PALEOCEAN), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Geo-Ocean (GEO-OCEAN), Université de Bretagne Sud (UBS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), JFS Geological Services, and JFS
Subjects: [SDU]Sciences of the Universe [physics]
Published: 2023

32. Protein quality as a complementary functional unit in life cycle assessment (LCA)

Author: McAuliffe, G., Takahashi, T., Beal, T., Huppertz, T., Leroy, F., Buttriss, J., Collins, A. L., Drewnowski, A., McLaren, S. J., Ortenzi, F., Van der Pols, J., Van Vliet, S., Lee, M. R. F., Department of Bio-engineering Sciences, Social-cultural food-research, and Industrial Microbiology
Subjects: Food Quality and Design, Food, Health, Nutritional LCA, Digestibility, Amino acids, Environmental footprints, Nutrition, General Environmental Science
Abstract: Goal and theoretical commentary A number of recent life cycle assessment (LCA) studies have concluded that animal-sourced foods should be restricted—or even avoided—within the human diet due to their relatively high environmental impacts (particularly those from ruminants) compared with other protein-rich foods (mainly protein-rich plant foods). From a nutritional point of view, however, issues such as broad nutrient bioavailability, amino acid balances, digestibility and even non-protein nutrient density (e.g., micronutrients) need to be accounted for before making such recommendations to the global population. This is especially important given the contribution of animal sourced foods to nutrient adequacy in the global South and vulnerable populations of high-income countries (e.g., children, women of reproductive age and elderly). Often, however, LCAs simplify this reality by using ‘protein’ as a functional unit in their models and basing their analyses on generic nutritional requirements. Even if a ‘nutritional functional unit’ (nFU) is utilised, it is unlikely to consider the complexities of amino acid composition and subsequent protein accretion. The discussion herein focuses on nutritional LCA (nLCA), particularly on the usefulness of nFUs such as ‘protein,’ and whether protein quality should be considered when adopting the nutrient as an (n)FU. Further, a novel and informative case study is provided to demonstrate the strengths and weaknesses of protein-quality adjustment. Case study methods To complement current discussions, we present an exploratory virtual experiment to determine how Digestible Indispensable Amino Acid Scores (DIAAS) might play a role in nLCA development by correcting for amino acid quality and digestibility. DIAAS is a scoring mechanism which considers the limiting indispensable amino acids (IAAs) within an IAA balance of a given food (or meal) and provides a percentage contribution relative to recommended daily intakes for IAA and subsequent protein anabolism; for clarity, we focus only on single food items (4 × animal-based products and 4 × plant-based products) in the current case exemplar. Further, we take beef as a sensitivity analysis example (which we particularly recommend when considering IAA complementarity at the meal-level) to elucidate how various cuts of the same intermediary product could affect the interpretation of nLCA results of the end-product(s). Recommendations First, we provide a list of suggestions which are intended to (a) assist with deciding whether protein-quality correction is necessary for a specific research question and (b) acknowledge additional uncertainties by providing mitigating opportunities to avoid misinterpretation (or worse, dis-interpretation) of protein-focused nLCA studies. We conclude that as relevant (primary) data availability from supply chain ‘gatekeepers’ (e.g., international agri-food distributors and processors) becomes more prevalent, detailed consideration of IAA provision of contrasting protein sources needs to be acknowledged—ideally quantitatively with DIAAS being one example—in nLCA studies utilising protein as a nFU. We also contend that future nLCA studies should discuss the complementarity of amino acid balances at the meal-level, as a minimum, rather than the product level when assessing protein metabolic responses of consumers. Additionally, a broader set of nutrients should ideally be included when evaluating “protein-rich foods” which provide nutrients that extend beyond amino acids, which is of particular importance when exploring dietary-level nLCA.
Published: 2022

33. One Happy Island!?

Author: Jaap van Vliet
Published: 2022

34. Neocalvinisme en gereformeerde jodenzending

Author: Jaap van Vliet and Gert van Klinken
Subjects: History, Religious studies
Published: 2022

35. Comparing the Chemical Profiles of Plant-Based and Traditional Meats Using GC–MS-Based Metabolomics

Author: Stephan van Vliet, Frederick D. Provenza, James Bain, Demitrius Hill, Michael Muehlbauer, Carl Pieper, Kim Huffman, Scott Kronberg, Stephan Baumann, and Tarun Anumol
Subjects: Analytical Chemistry
Abstract: As the consumer interest and market for plant-based meat alternatives grows, understanding the nutritional differences between alternative and traditional meats is essential. This article describes an untargeted gas chromatography–mass spectrometry (GC–MS)-based metabolomics approach that compares the chemical profiles of a popular plant-based meat alternative and grass-fed ground beef using a GC system coupled to a GC–MS device. The samples were derivatized to simplify the chromatographic process and render the polar metabolites more volatile for GC–MS analysis. Statistical and multivariate analysis of the acquired and processed GC–MS data revealed that 90% of the annotated compounds differed between the plant-based alternative meat and the grass-fed ground beef samples. The ground beef and plant-based products each contained several compounds that were found in much smaller quantities, or not at all, in the other product. These results indicate differences in organic composition even though the nutritional labels on the back of the products were nearly identical. Heat maps, principal component analysis (PCA) score plots, variable importance plots (VIPs), and the clustering of compounds into metabolite classes provided further insights into the differences between the two types of meat products. The biological significance of the comparative data was studied using online databases and pathway analysis tools.
Published: 2022

36. Model-informed precision dosing of beta-lactam antibiotics and ciprofloxacin in critically ill patients

Author: Tim M. J. Ewoldt, Alan Abdulla, Wim J. R. Rietdijk, Anouk E. Muller, Brenda C. M. de Winter, Nicole G. M. Hunfeld, Ilse M. Purmer, Peter van Vliet, Evert-Jan Wils, Jasper Haringman, Annelies Draisma, Tom A. Rijpstra, Attila Karakus, Diederik Gommers, Henrik Endeman, Birgit C. P. Koch, Intensive Care, Pharmacy, and Medical Microbiology & Infectious Diseases
Subjects: Critical Care and Intensive Care Medicine
Abstract: PURPOSE: Individualising drug dosing using model-informed precision dosing (MIPD) of beta-lactam antibiotics and ciprofloxacin has been proposed as an alternative to standard dosing to optimise antibiotic efficacy in critically ill patients. However, randomised clinical trials (RCT) on clinical outcomes have been lacking.METHODS: This multicentre RCT, including patients admitted to the intensive care unit (ICU) who were treated with antibiotics, was conducted in eight hospitals in the Netherlands. Patients were randomised to MIPD with dose and interval adjustments based on monitoring serum drug levels (therapeutic drug monitoring) combined with pharmacometric modelling of beta-lactam antibiotics and ciprofloxacin. The primary outcome was ICU length of stay (LOS). Secondary outcomes were ICU mortality, hospital mortality, 28-day mortality, 6-month mortality, delta sequential organ failure assessment (SOFA) score, adverse events and target attainment.RESULTS: In total, 388 (MIPD n = 189; standard dosing n = 199) patients were analysed (median age 64 [IQR 55-71]). We found no significant differences in ICU LOS between MIPD compared to standard dosing (10 MIPD vs 8 standard dosing; IRR = 1.16; 95% CI 0.96-1.41; p = 0.13). There was no significant difference in target attainment before intervention at day 1 (T1) (55.6% MIPD vs 60.9% standard dosing; p = 0.24) or at day 3 (T3) (59.5% vs 60.4%; p = 0.84). There were no significant differences in other secondary outcomes.CONCLUSIONS: We could not show a beneficial effect of MIPD of beta-lactam antibiotics and ciprofloxacin on ICU LOS in critically ill patients. Our data highlight the need to identify other approaches to dose optimisation.
Published: 2022

37. Community‐based monitoring, assessment and management of data‐limited inland fish stocks in North Rupununi, Guyana

Author: Samuel Shephard, Kevin Edwards, Susan George, Elvis Joseph, Samantha James, Oswin David, Addevi Persaud, L. Cynthia Watson, and Nathalie Van Vliet
Subjects: Ecology, Aquatic Science
Published: 2022

38. Analogue Patients

Author: Ellen M. A. Smets, Liesbeth M. van Vliet, Arwen H. Pieterse, Leonie N.C. Visser, Nanon H.M. Labrie, and Marij A. Hillen
Published: 2022

39. Understanding Factors that Shape Exposure to Zoonotic and Food-Borne Diseases Across Wild Meat Trade Chains

Author: Nathalie van Vliet, Jonas Muhindo, Jonas Nyumu, Charis Enns, Francis Massé, Brock Bersaglio, Paolo Cerutti, and Robert Nasi
Subjects: Sociology and Political Science, Arts and Humanities (miscellaneous), Ecology, Anthropology, Environmental Science (miscellaneous)
Abstract: The rise of zoonotic disease-related public health crises has sparked calls for policy action, including calls to close wildlife markets. Yet, these calls often reflect limited understanding of where, precisely, exposure to risk occurs along wildlife and wild meat trade chains. They also threaten to negatively impact food security and livelihoods. From a public health perspective, it is important to understand the practices that shape food safety all along the trade chain, resulting in meat that is either safe to eat or managed as a potential vector of pathogens. This article uses ethnographic methods to examine the steps that lead a wild animal from the forest to the plate of an urban consumer in Yangambi and Kisangani in the Democratic Republic of Congo (DRC). Focusing on hunters, village-level consumers, transporters, market traders and urban consumers, we highlight specific practices that expose different actors involved in the trade chain to wild meat related health risks, including exposure to food borne illnesses from contaminated meat and zoonotic pathogens through direct contact with wild animals, and the local practices in place to reduce the same. We discuss interventions that could help prevent and mitigate zoonotic and food borne disease risks associated with wild meat trade chains.
Published: 2022

40. Shades of Black: Gendered denominational variation in depression symptoms among Black Christians

Author: Paul A. Robbins, William Darity, Keisha L. Bentley-Edwards, Loneke T. Blackman Carr, Eugenia Conde, and Richard Van Vliet
Subjects: Variation (linguistics), Social Psychology, Spirituality, Religious studies, Shades of black, Psychology, Mental health, Applied Psychology, Depression (differential diagnoses), Clinical psychology
Published: 2022

41. De tussenhoudstervrijstelling van art. 2:408 BW

Author: Q.H. van Vliet
Published: 2022

42. Global maps of 3D built-up patterns for urban morphological analysis

Author: Mengmeng Li, Yuan Wang, Job F. Rosier, Peter H. Verburg, Jasper van Vliet, and Environmental Geography
Subjects: Land use intensity, Global and Planetary Change, Urbanization, Science for Sustainability, Management, Monitoring, Policy and Law, Computers in Earth Sciences, Building height, SDG 11 - Sustainable Cities and Communities, Earth-Surface Processes
Abstract: Horizontal and vertical patterns of built-up land are essential to analyse a range of environmental change impacts, such as exposure to natural hazards, urban heat islands, and trapping air pollution, as well as for decision making in this context. However, while data on horizontal patterns are abundant, they are relatively rare for vertical patterns. Here, we present global maps of 3D built-up patterns at a 1-km2 resolution for the nominal year 2015. These data are estimated using random forest models, fed with a wide range of spatial data and trained on reference data from all continents except Antarctica. Independent testing indicates that R2 values of the global models for built-up footprint, height, and volume equal 0.89, 0.73, and 0.84, respectively. Our results show that buildings worldwide are 6.16-m high on average, and total building volume is 1645 km3, which is the equivalent of a solid cube of 12 km on each side. Yet, we find large variations in 3D built-up patterns, both within and across world regions. In particular, floor space per person exceeds 200 m2 in both Oceania and North America, while it is only 29 m2 in South Asia and 38 m2 in Sub-Saharan Africa. Our results provide novel insights into the global distribution of 3D built-up patterns and offer new opportunities for the assessments of urban environmental impacts. The global data for building footprint, height and volume can be downloaded from https://doi.org/10.34894/4QAGYL.
Published: 2022

43. Prehospital transdermal glyceryl trinitrate in patients with presumed acute stroke (MR ASAP)

Author: Sophie A van den Berg, Simone M Uniken Venema, Hendrik Reinink, Jeannette Hofmeijer, Wouter J Schonewille, Irene Miedema, Puck S S Fransen, D Martijn O Pruissen, Theodora W M Raaijmakers, Gert W van Dijk, Frank-Erik de Leeuw, Jorine A van Vliet, Vincent I H Kwa, Henk Kerkhoff, Alex van 't Net, Rene Boomars, Arjen Siegers, Tycho Lok, Klaartje Caminada, Laura M Esteve Cuevas, Marieke C Visser, Casper P Zwetsloot, Jooske M F Boomsma, Mirjam H Schipper, Roeland P J van Eijkelenburg, Olvert A Berkhemer, Daan Nieboer, Hester F Lingsma, Bart J Emmer, Robert J van Oostenbrugge, Aad van der Lugt, Yvo B W E M Roos, Charles B L M Majoie, Diederik W J Dippel, Paul J Nederkoorn, H Bart van der Worp, Ayla van Ahee, Frank Visseren, Patricia Halkes, Ruben van Eijk, Michelle Simons, Wilma Pellikaan, Wilma Van Wijngaarden, Eva Ponjee, Petra Geijtenbeek, Ton Arts, Elles Zock, Wilma Oudshoorn, Frans Steenwinkel, Hamdia Samim, Mark van Zandwijk, Lisette Vrielink, Peter Jan Mulder, Aico Gerritsen, Jim Ijzermans, Marjan Kooijman, Oscar Francissen, Rick van Nuland, Wim van Zwam, Linda Jacobi, Rene van den Berg, Ludo Beenen, Adriaan van Es, Pieter-Jan van Doormaal, Geert Lycklama a Nijeholt, Ido van den Wijngaard, Albert Yoo, Lonneke Yo, Jasper Martens, Bas Hammer, Stefan Roosendaal, Anton Meijer, Menno Krietemeijer, Reinoud Bokkers, Anouk van der Hoorn, Dick Gerrits, Jonathan Coutinho, Ben Jansen, Sanne Manschot, Peter Koudstaal, Koos Keizer, Vicky Chalos, Adriaan Versteeg, Lennard Wolff, Henk van Voorst, Matthijs van der Sluijs, Arnolt-Jan Hoving, Kilian Treurniet, Natalie LeCouffe, Rob van de Graaf, Robert-Jan Goldhoorn, Wouter Hinseveld, Anne Pirson, Lotte Sondag, Manon Kappelhof, Manon Tolhuisen, Josje Brouwer, Wouter van der Steen, Leon Rinkel, Agnetha Bruggeman, Rita Sprengers, Martin Sterrenberg, Sabrina Verheesen, Leontien Heiligers, Yvonne Martens, Naziha El Ghannouti, Miranda Slotboom, MUMC+: MA Neurologie (3), MUMC+: Hersen en Zenuw Centrum (3), Klinische Neurowetenschappen, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, RS: Carim - B05 Cerebral small vessel disease, Graduate School, ACS - Atherosclerosis & ischemic syndromes, ANS - Neurovascular Disorders, Neurology, Radiology and Nuclear Medicine, ANS - Cellular & Molecular Mechanisms, ACS - Microcirculation, ACS - Pulmonary hypertension & thrombosis, Biomedical Engineering and Physics, ANS - Brain Imaging, ANS - Compulsivity, Impulsivity & Attention, Radiology & Nuclear Medicine, Public Health, Radiology and nuclear medicine, Pediatrics, Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Damage and Repair in Cancer Development and Cancer Treatment (DARE), TechMed Centre, and Clinical Neurophysiology
Subjects: Adult, Adolescent, Ischemic Attack, Transient, Nitroglycerin/therapeutic use, Ambulances, Brain Ischemia/drug therapy, Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3], Brain Ischemia, Stroke, Nitroglycerin, Treatment Outcome, Ischemic Attack, Transient, 2023 OA procedure, Humans, Neurology (clinical), Stroke/drug therapy, Cerebral Hemorrhage/drug therapy, Cerebral Hemorrhage, Ischemic Stroke
Abstract: Contains fulltext : 287508.pdf (Publisher’s version ) (Closed access) BACKGROUND: Pooled analyses of previous randomised studies have suggested that very early treatment with glyceryl trinitrate (also known as nitroglycerin) improves functional outcome in patients with acute ischaemic stroke or intracerebral haemorrhage, but this finding was not confirmed in a more recent trial (RIGHT-2). We aimed to assess whether patients with presumed acute stroke benefit from glyceryl tr initrate started within 3 h after symptom onset. METHODS: MR ASAP was a phase 3, randomised, open-label, blinded endpoint trial done at six ambulance services serving 18 hospitals in the Netherlands. Eligible participants (aged ≥18 years) had a probable diagnosis of acute stroke (as assessed by a paramedic), a face-arm-speech-time test score of 2 or 3, systolic blood pressure of at least 140 mm Hg, and could start treatment within 3 h of symptom onset. Participants were randomly assigned (1:1) by ambulance personnel, using a secure web-based electronic application with random block sizes stratified by ambulance service, to receive either transdermal glyceryl trinitrate 5 mg/day for 24 h plus standard care (glyceryl trinitrate group) or to standard care alone (control group) in the prehospital setting. Informed consent was deferred until after arrival at the hospital. The primary outcome was functional outcome assessed with the modified Rankin Scale (mRS) at 90 days. Safety outcomes included death within 7 days, death within 90 days, and serious adverse events. Analyses were based on modified intention to treat, and treatment effects were expressed as odds ratios (ORs) or common ORs, with adjustment for baseline prognostic factors. We separately analysed the total population and the target population (ie, patients with intracerebral haemorrhage, ischaemic stroke, or transient ischaemic attack). The target sample size was 1400 patients. The trial is registered as ISRCTN99503308. FINDINGS: On June 24, 2021, the MR ASAP trial was prematurely terminated on the advice of the data and safety monitoring board, with recruitment stopped because of safety concerns in patients with intracerebral haemorrhage. Between April 4, 2018, and Feb 12, 2021, 380 patients were randomly allocated to a study group. 325 provided informed consent or died before consent could be obtained, of whom 170 were assigned to the glyceryl trinitrate group and 155 to the control group. These patients were included in the total population. 201 patients (62%) had ischaemic stroke, 34 (10%) transient ischaemic attack, 56 (17%) intracerebral haemorrhage, and 34 (10%) a stroke-mimicking condition. In the total population (n=325), the median mRS score at 90 days was 2 (IQR 1-4) in both the glyceryl trinitrate and control groups (adjusted common OR 0·97 [95% CI 0·65-1·47]). In the target population (n=291), the 90-day mRS score was 2 (2-4) in the glyceryl trinitrate group and 3 (1-4) in the control group (0·92 [0·59-1·43]). In the total population, there were no differences between the two study groups with respect to death within 90 days (adjusted OR 1·07 [0·53-2·14]) or serious adverse events (unadjusted OR 1·23 [0·76-1·99]). In patients with intracerebral haemorrhage, 12 (34%) of 35 patients allocated to glyceryl trinitrate versus two (10%) of 21 allocated to the control group died within 7 days (adjusted OR 5·91 [0·78-44·81]); death within 90 days occurred in 16 (46%) of 35 in the glyceryl trinitrate group and 11 (55%) of 20 in the control group (adjusted OR 0·87 [0·18-4·17]). INTERPRETATION: We found no sign of benefit of transdermal glyceryl trinitrate started within 3 h of symptom onset in the prehospital setting in patients with presumed acute stroke. The signal of potential early harm of glyceryl trinitrate in patients with intracerebral haemorrhage suggests that glyceryl trinitrate should be avoided in this setting. FUNDING: The Collaboration for New Treatments of Acute Stroke consortium, the Brain Foundation Netherlands, the Ministry of Economic Affairs, Stryker, Medtronic, Cerenovus, and the Dutch Heart Foundation.
Published: 2022

44. Intercrystallite boundaries dominate the electrochemical corrosion behavior of polycrystalline diamond

Author: Chen Xiao, Fiona Elam, Stefan van Vliet, Roland Bliem, Simon Lépinay, Noushine Shahidzadeh, Bart Weber, Steve Franklin, IoP (FNWI), WZI (IoP, FNWI), ARCNL (WZI, IoP, FNWI), and Soft Matter (WZI, IoP, FNWI)
Subjects: History, Polymers and Plastics, General Materials Science, General Chemistry, Business and International Management, Industrial and Manufacturing Engineering
Abstract: In this work, high resolution integrated AFM–EC/SECM was used to reveal the spatially heterogeneous electroactivity of microcrystalline diamond (MCD) and nanocrystalline diamond (NCD) surfaces. During electrochemical corrosion, NCD surfaces undergo a stronger corrosion reaction than MCD because of the higher amount of sp2 hybridized carbon. In-situ EC-AFM imaging shows no significant change in surface morphology, while corroded surfaces become more hydrophilic due to the oxidation reactions that occur in the outermost layer. On non-corroded MCD and NCD surfaces, intercrystallite boundaries exhibit stronger localized (electro)chemical reactivity than crystallites. However, after electrochemical corrosion, both MCD and NCD surfaces become thermodynamically stabilized by corrosion products that passivate the surface and inhibit further corrosion. In this way, the (electro)chemical reactivity of the intercrystallite boundaries is reduced to a greater extent by electrochemical corrosion than the (electro)chemical reactivity of the crystallites due to the more intense electrochemical oxidation reactions taking place at these boundaries. After corrosion, this results in a comparatively greater (electro)chemical reactivity on the crystallites than at the boundaries. This behavior suggests the following order of (electro)chemical reactivity: sp2 > sp3 > oxidized/passivated structures.
Published: 2022

45. A 33-year-old man with a rapidly growing lump on the dorsal tongue

Author: Zena Slim, Daniel Wong, Chris van Vliet, Benhur Amanuel, Chady Sader, Rudolf Boeddinghaus, and Camile S. Farah
Subjects: Male, Adult, Tongue, Humans, Radiology, Nuclear Medicine and imaging, Dentistry (miscellaneous), Surgery, Oral Surgery, Tongue Neoplasms, Pathology and Forensic Medicine
Published: 2022

46. Muscle mass, muscle strength and mortality in kidney transplant recipients: results of the TransplantLines Biobank and Cohort Study

Author: van Vliet, Iris M. Y., Post, Adrian, Kremer, Daan, Boslooper-Meulenbelt, Karin, van der Veen, Yvonne, de Jong, Margriet F. C., Pol, Robert A., Jager-Wittenaar, Harriet, Navis, Gerjan J., Bakker, Stephan J. L., Groningen Kidney Center (GKC), Groningen Institute for Organ Transplantation (GIOT), Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), and Value, Affordability and Sustainability (VALUE)
Subjects: bio-electrical impedance analysis, kidney transplant, Male, Adult, PREDICTOR, EXCRETION, Muscles, hand grip strength, Middle Aged, mortality, Kidney Transplantation, Cohort Studies, muscle mass, BIOELECTRICAL-IMPEDANCE ANALYSIS, Creatinine/urine, Physiology (medical), muscle strength, Humans, Female, Orthopedics and Sports Medicine, Hand Strength/physiology, Aged, Biological Specimen Banks
Abstract: BACKGROUND: Survival of kidney transplant recipients (KTR) is low compared with the general population. Low muscle mass and muscle strength may contribute to lower survival, but practical measures of muscle status suitable for routine care have not been evaluated for their association with long-term survival and their relation with each other in a large cohort of KTR.METHODS: Data of outpatient KTR ≥ 1 year post-transplantation, included in the TransplantLines Biobank and Cohort Study (ClinicalTrials.gov Identifier: NCT03272841), were used. Muscle mass was determined as appendicular skeletal muscle mass indexed for height 2 (ASMI) through bio-electrical impedance analysis (BIA), and by 24-h urinary creatinine excretion rate indexed for height 2 (CERI). Muscle strength was determined by hand grip strength indexed for height 2 (HGSI). Secondary analyses were performed using parameters not indexed for height 2. Cox proportional hazards models were used to investigate the associations between muscle mass and muscle strength and all-cause mortality, both in univariable and multivariable models with adjustment for potential confounders, including age, sex, body mass index (BMI), estimated glomerular filtration rate (eGFR) and proteinuria. RESULTS: We included 741 KTR (62% male, age 55 ± 13 years, BMI 27.3 ± 4.6 kg/m 2), of which 62 (8%) died during a median [interquartile range] follow-up of 3.0 [2.3-5.7] years. Compared with patients who survived, patients who died had similar ASMI (7.0 ± 1.0 vs. 7.0 ± 1.0 kg/m 2; P = 0.57), lower CERI (4.2 ± 1.1 vs. 3.5 ± 0.9 mmol/24 h/m 2; P < 0.001) and lower HGSI (12.6 ± 3.3 vs. 10.4 ± 2.8 kg/m 2; P < 0.001). We observed no association between ASMI and all-cause mortality (HR 0.93 per SD increase; 95% confidence interval [CI] [0.72, 1.19]; P = 0.54), whereas CERI and HGSI were significantly associated with mortality, independent of potential confounders (HR 0.57 per SD increase; 95% CI [0.44, 0.81]; P = 0.002 and HR 0.47 per SD increase; 95% CI [0.33, 0.68]; P < 0.001, respectively), and associations of CERI and HGSI with mortality remained independent of each other (HR 0.68 per SD increase; 95% CI [0.47, 0.98]; P = 0.04 and HR 0.53 per SD increase; 95% CI [0.36, 0.76]; P = 0.001, respectively). Similar associations were found for unindexed parameters. CONCLUSIONS: Higher muscle mass assessed by creatinine excretion rate and higher muscle strength assessed by hand grip strength are complementary in their association with lower risk of all-cause mortality in KTR. Muscle mass assessed by BIA is not associated with mortality. Routine assessment using both 24-h urine samples and hand grip strength is recommended, to potentially target interdisciplinary interventions for KTR at risk for poor survival to improve muscle status.
Published: 2022

47. Spotheldendichten uit de achttiende eeuw

Author: Rietje van Vliet
Subjects: Linguistics and Language, Literature and Literary Theory, Language and Linguistics
Published: 2022

48. Games en sociale media in de spreekkamer

Author: Kuindersma, Nynke, van der Meer-Jansma, Margreet, van Vliet, Michel, and Hage, Rutger
Subjects: Family Practice
Published: 2023

49. Lessons from the 2018-2019 European droughts : a collective need for unifying drought risk management

Author: Blauhut, Veit, Stoelzle, Michael, Ahopelto, Lauri, Brunner, Manuela I., Teutschbein, Claudia, Wendt, Doris E., Akstinas, Vytautas, Bakke, Sigrid J., Barker, Lucy J., Bartošová, Lenka, Briede, Agrita, Cammalleri, Carmelo, Kalin, Ksenija Cindrić, De Stefano, Lucia, Fendeková, Miriam, Finger, David C., Huysmans, Marijke, Ivanov, Mirjana, Jaagus, Jaak, Jakubínský, JiÅ™í, Krakovska, Svitlana, Laaha, Gregor, Lakatos, Monika, Manevski, Kiril, Neumann Andersen, Mathias, Nikolova, Nina, Osuch, Marzena, Van Oel, Pieter, Radeva, Kalina, Romanowicz, Renata J., Toth, Elena, Trnka, Mirek, Urošev, Marko, Urquijo Reguera, Julia, Sauquet, Eric, Stevkov, Aleksandra, Tallaksen, Lena M., Trofimova, Iryna, Van Loon, Anne F., Van Vliet, Michelle T.H., Vidal, Jean Philippe, Wanders, Niko, Werner, Micha, Willems, Patrick, Zivković, Nenad, Hydrologie, Landdegradatie en aardobservatie, Blauhut V., Stoelzle M., Ahopelto L., Brunner M.I., Teutschbein C., Wendt D.E., Akstinas V., Bakke S.J., Barker L.J., Bartosova L., Briede A., Cammalleri C., Kalin K.C., De Stefano L., Fendekova M., Finger D.C., Huysmans M., Ivanov M., Jaagus J., Jakubinsky J., Krakovska S., Laaha G., Lakatos M., Manevski K., Neumann Andersen M., Nikolova N., Osuch M., Van Oel P., Radeva K., Romanowicz R.J., Toth E., Trnka M., Urosev M., Urquijo Reguera J., Sauquet E., Stevkov A., Tallaksen L.M., Trofimova I., Van Loon A.F., Van Vliet M.T.H., Vidal J.-P., Wanders N., Werner M., Willems P., Zivkovic N., University of Freiburg, Department of Built Environment, Uppsala University, University of Birmingham, Lithuanian Energy Institute, University of Oslo, Centre for Ecology and Hydrology, Czech Academy of Sciences, University of Latvia, European Commission Joint Research Centre Institute, Croatian Meteorological and Hydrological Service, Complutense University, Comenius University in Bratislava, Reykjavík University, Vrije Universiteit Brussel, Institute of Hydrometeorology and Seismology of Montenegro, University of Tartu, Ukrainian Hydrometeorological Institute, University of Natural Resources and Life Sciences, Vienna, Hungarian Meteorological Service, Aarhus University, Sofia University St. Kliment Ohridski, Institute of Geophysics of the Polish Academy of Sciences, Wageningen University and Research Centre, Universita di Bologna, Serbian Academy of Sciences and Arts, Technical University of Madrid, INRAE, National Hydrometeorological Service, Vrije Universiteit Amsterdam, Utrecht University, IHE Delft Institute for Water Education, KU Leuven, University of Belgrade, Aalto-yliopisto, Aalto University, Hydrology and Hydraulic Engineering, Water and Climate Risk, Hydrologie, and Landdegradatie en aardobservatie
Subjects: IMPACTS, drought, risk, management, strategy, stakeholders, Europe, Hidrología, media_common.quotation_subject, WATER-RESOURCES, CIRCULATION, Vulnerability, Earth and Planetary Sciences(all), Oceanografi, hydrologi och vattenresurser, METEOROLOGICAL DROUGHT, EVENTS, Oceanography, Hydrology and Water Resources, Short summary: Recent drought events caused enormous damage in Europe. We therefore questioned the existence and effect of current drought management strategies on the actual impacts and how drought is perceived by relevant stakeholders. Over 700 participants from 28 European countries provided insights into drought hazard and impact perception and current management strategies. The study concludes with an urgent need to collectively combat drought risk via a European macro-level drought governance approach, 11. Sustainability, Meteorology & Atmospheric Sciences, Life Science, Geosciences, Multidisciplinary, Environmental planning, media_common, Science & Technology, WIMEK, Corporate governance, Geology, Directive, Hazard, 6. Clean water, Water Resources Management, Water resources, Geography, Harm, 13. Climate action, Physical Sciences, Water Resources, General Earth and Planetary Sciences, Water Systems and Global Change, Psychological resilience, Hydrology, SDG 6 - Clean Water and Sanitation, Diversity (business)
Abstract: Funding Information: This open-access publication was funded by the University of Freiburg. Funding Information: Financial support. The project is supported by the Wassernetzwerk Baden-Württemberg (Water Research Network of the State Baden-Württemberg), which is funded by the Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg (Ministry of Science, Research and the Arts of the State Baden-Württemberg) (grant no. AZ. 7532.21/2.1.6) and Maa-ja vesitekniikan tuki ry foundation. Doris E. Wendt acknowledges her support as part of the NERC-funded Groundwater Drought Initiative (NE/R004994/1). Lucy J. Barker was supported by the Natural Environment Research Council (NE/R016429/1) as part of the UK-SCAPE programme delivering National Capability. The contributions of Mirek Trnka, Lenka Bartošová, and Jaak Jaagus have been supported by SustES – Adaptation strategies for sustainable ecosystem services and food security under adverse environmental conditions (CZ.02.1.01/0.0/0.0/16_019/0000797). Publisher Copyright: © 2022 Veit Blauhut et al. Drought events and their impacts vary spatially and temporally due to diverse pedo-climatic and hydrologic conditions, as well as variations in exposure and vulnerability, such as demographics and response actions. While hazard severity and frequency of past drought events have been studied in detail, little is known about the effect of drought management strategies on the actual impacts and how the hazard is perceived by relevant stakeholders. In a continental study, we characterised and assessed the impacts and the perceptions of two recent drought events (2018 and 2019) in Europe and examined the relationship between management strategies and drought perception, hazard, and impact. The study was based on a pan-European survey involving national representatives from 28 countries and relevant stakeholders responding to a standard questionnaire. The survey focused on collecting information on stakeholders' perceptions of drought, impacts on water resources and beyond, water availability, and current drought management strategies on national and regional scales. The survey results were compared with the actual drought hazard information registered by the European Drought Observatory (EDO) for 2018 and 2019. The results highlighted high diversity in drought perception across different countries and in values of the implemented drought management strategies to alleviate impacts by increasing national and sub-national awareness and resilience. The study identifies an urgent need to further reduce drought impacts by constructing and implementing a European macro-level drought governance approach, such as a directive, which would strengthen national drought management and mitigate damage to human and natural assets.
Published: 2022

50. The meaning of land and place for children born of war in northern Uganda

Author: Myriam Denov, Anaïs Cadieux Van Vliet, Nathaniel Mosseau, and Atim Angela Lakor
Subjects: Sociology and Political Science, Social Psychology, Geography, Planning and Development
Published: 2022

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