Highly active and selective oxygen reduction to H2O2 on boron-doped carbon for high production rates

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: July 9, 2021

Abstract Oxygen reduction reaction towards hydrogen peroxide (H 2 O ) provides a green alternative route for H production, but it lacks efficient catalysts to achieve high selectivity and activity simultaneously under industrial-relevant production rates. Here we report boron-doped carbon (B-C) catalyst which can overcome this activity-selectivity dilemma. Compared the state-of-the-art oxidized catalyst, B-C presents enhanced (saving more than 210 mV overpotential) currents (up 300 mA cm −2 while maintaining (85–90%). Density-functional theory calculations reveal that boron dopant site is responsible due low thermodynamic kinetic barriers. Employed in our porous solid electrolyte reactor, demonstrates direct continuous generation of pure solutions with 95%) partial ~400 ), illustrating catalyst’s great potential practical applications future.

Language: Английский

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Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)

European Journal of Immunology, Journal Year: 2021, Volume and Issue: 51(12), P. 2708 - 3145

Published: Dec. 1, 2021

Abstract The third edition of Flow Cytometry Guidelines provides the key aspects to consider when performing flow cytometry experiments and includes comprehensive sections describing phenotypes functional assays all major human murine immune cell subsets. Notably, contain helpful tables highlighting differences between cells. Another useful feature this is analysis clinical samples with examples applications in context autoimmune diseases, cancers as well acute chronic infectious diseases. Furthermore, there are detailing tips, tricks pitfalls avoid. All written peer‐reviewed by leading experts immunologists, making an essential state‐of‐the‐art handbook for basic researchers.

Language: Английский

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Social Media and Political Agenda Setting

Political Communication, Journal Year: 2021, Volume and Issue: 39(1), P. 39 - 60

Published: May 1, 2021

What is the role of social media in political agenda setting? Digital platforms have reduced gatekeeping power traditional and, potentially, they increased capacity various kinds actors to shape agenda. We study this question Swiss context by examining connections between three agendas: agenda, parties, and politicians. Specifically, we validate apply supervised machine learning classifiers categorize 2.78 million articles published 84 newspapers, 6,500 tweets posted on official party accounts, 210,000 politicians their own accounts from January 2018 until December 2019. first use classifier measure salience four most relevant issues period: environment, Europe, gender equality, immigration. Then, using a vector autoregression (VAR) approach, analyze relationship agendas. Results show that not only do influence one another but, overall, no leads others more than it led them. There important exception: for environment issue, parties predictive vice-versa. These findings underscore how closely different agendas are tied together, but also advocacy campaigns may play an both constraining enabling push specific

Language: Английский

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Stability of synchronization in simplicial complexes

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: Feb. 23, 2021

Abstract Various systems in physics, biology, social sciences and engineering have been successfully modeled as networks of coupled dynamical systems, where the links describe pairwise interactions. This is, however, too strong a limitation, recent studies revealed that higher-order many-body interactions are present groups, ecosystems human brain, they actually affect emergent dynamics all these systems. Here, we introduce general framework to study accounting for precise microscopic structure their at any possible order. We show complete synchronization exists an invariant solution, give necessary condition it be observed stable state. Moreover, some relevant instances, such takes form Master Stability Function. generalizes existing results valid case complex with most architecture.

Language: Английский

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Predicting flood susceptibility using LSTM neural networks

Journal of Hydrology, Journal Year: 2020, Volume and Issue: 594, P. 125734 - 125734

Published: Nov. 8, 2020

Identifying floods and producing flood susceptibility maps are crucial steps for decision-makers to prevent manage disasters. Plenty of studies have used machine learning models produce reliable maps. Nevertheless, most research ignores the importance developing appropriate feature engineering methods. In this study, we propose a local spatial sequential long short-term memory neural network (LSS-LSTM) prediction in Shangyou County, China. The three main contributions study summarized below. First all, it is new perspective use deep technique LSTM prediction. Second, integrate an method with predict susceptibility. Third, implement two optimization techniques data augmentation batch normalization further improve performance proposed method. LSS-LSTM can not only capture attribution information conditioning factors data, but also has powerful modelling capabilities deal relationship floods. experimental results demonstrate that achieves satisfactory (93.75% 0.965) terms accuracy area under receiver operating characteristic (ROC) curve.

Language: Английский

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SARS-CoV-2 in severe COVID-19 induces a TGF-β-dominated chronic immune response that does not target itself

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: March 30, 2021

The pathogenesis of severe COVID-19 reflects an inefficient immune reaction to SARS-CoV-2. Here we analyze, at the single cell level, plasmablasts egressed into blood study dynamics adaptive response in patients requiring intensive care. Before seroconversion SARS-CoV-2 spike protein, peripheral display a type 1 interferon-induced gene expression signature; however, following seroconversion, lose this signature, express instead signatures induced by IL-21 and TGF-β, produce mostly IgG1 IgA1. In sustained from patients, shift IgA2, thereby reflecting instruction TGF-β. Despite their continued presence blood, are not found lungs deceased nor does patient IgA2 binds dominant antigens Our results thus suggest that, COVID-19, triggers chronic that is instructed distracted itself.

Language: Английский

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Microplastics accumulate fungal pathogens in terrestrial ecosystems

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: July 15, 2021

Microplastic (MP) is a pervasive pollutant in nature that colonised by diverse groups of microbes, including potentially pathogenic species. Fungi have been largely neglected this context, despite their affinity for plastics and impact as pathogens. To unravel the role MP carrier fungal pathogens terrestrial ecosystems immediate human environment, epiplastic mycobiomes from municipal plastic waste Kenya were deciphered using ITS metabarcoding well comprehensive meta-analysis, visualised via scanning electron confocal laser microscopy. Metagenomic microscopic findings provided complementary evidence plastisphere suitable ecological niche variety organisms, important animal plant pathogens, which formed core mycobiome. We show MPs serve selective artificial microhabitats not only attract distinct communities, but also accumulate certain opportunistic such cryptococcal Phoma-like Therefore, must be regarded persistent reservoir potential vector soil environments. Given increasing amount worldwide, interrelation may severe consequences trans-kingdom multi-organismal epidemiology infections on global scale.

Language: Английский

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Intermittent Fasting Improves Cardiometabolic Risk Factors and Alters Gut Microbiota in Metabolic Syndrome Patients

The Journal of Clinical Endocrinology & Metabolism, Journal Year: 2020, Volume and Issue: 106(1), P. 64 - 79

Published: Oct. 5, 2020

Intermittent fasting (IF) is an effective strategy to improve cardiometabolic health.The objective of this work examine the effects IF on risk factors and gut microbiota in patients with metabolic syndrome (MS).A randomized clinical trial was conducted at a community health service center.Participants included adults MS, age 30 50 years.Intervention consisted 8 weeks "2-day" modified IF.Cardiometabolic including body composition, oxidative stress, inflammatory cytokines, endothelial function were assessed baseline weeks. The diversity, functional pathways microbiota, as well circulating gut-derived metabolites, measured.Thirty-nine MS included: 21 group 18 control group. On days, participants reduced 69% their calorie intake compared nonfasting days. 8-week significantly fat mass, ameliorated modulated improved vasodilatory parameters. Furthermore, induced significant changes communities, increased production short-chain fatty acids, decreased levels lipopolysaccharides. alteration attributed associated cardiovascular resulted distinct genetic shifts carbohydrate metabolism community.IF induces microbial manner closely mitigation factors. study provides potential mechanistic insights into prevention adverse outcomes MS.

Language: Английский

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Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions

Journal of Hydrology, Journal Year: 2021, Volume and Issue: 600, P. 126506 - 126506

Published: May 30, 2021

Language: Английский

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Nanoconfinement and mass transport in metal–organic frameworks

Chemical Society Reviews, Journal Year: 2021, Volume and Issue: 50(20), P. 11530 - 11558

Published: Jan. 1, 2021

A comprehensive review of pioneering experimental and computational methods for exploring molecular transport in metal–organic frameworks.

Language: Английский

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