bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics and outcome of traumatic cardiac arrest at a level 1 trauma centre over 10 years in Sweden
Authors: Ohlén Daniel , Hedberg Magnus , Martinsson Paula , von Oelreich Erik , Djärv Therese , Jonsson Fagerlund Malin 
Published: October 2022

Abstract
Background
Historically, resuscitation in traumatic cardiac arrest (TCA) has been deemed futile. However, recent literature reports improved but varying survival. Current European guidelines emphasise the addressing of reversible aetiologies in TCA and propose that a resuscitative thoracotomy may be performed within 15 min from last sign of life. To improve clinician understanding of which patients benefit from resuscitative efforts we aimed to describe the characteristics and 30-day survival for traumatic cardiac arrest at a Swedish trauma centre with a particular focus on resuscitative thoracotomy.

Methods
Retrospective cohort study of adult patients (≥ 15 years) with TCA managed at Karolinska University Hospital Solna between 2011 and 2020. Trauma demographics, intra-arrest factors, lab values and procedures were compared between survivors and non-survivors.

Results
Among the 284 included patients the median age was 38 years, 82.2% were male and 60.5% were previously healthy. Blunt trauma was the dominant injury in 64.8% and median Injury Severity Score (ISS) was 38. For patients with a documented arrest rhythm, asystole was recorded in 39.2%, pulseless electric activity in 24.8% and a shockable rhythm in 6.8%. Thirty patients (10.6%) survived to 30 days with a Glasgow Outcome Scale score of 3 (n = 23) or 4 (n = 7). The most common causes of death were haemorrhagic shock (50.0%) and traumatic brain injury (25.5%). Survivors had a lower ISS (P < 0.001), more often had reactive pupils (P < 0.001) and a shockable rhythm (P = 0.04). In the subset of prehospital TCA, survivors less frequently received adrenaline (epinephrine) (P < 0.001) and in lower amounts (P = 0.02). Of patients that underwent resuscitative thoracotomy (n = 101), survivors (n = 12) had a shorter median time from last sign of life to thoracotomy (P = 0.03), however in four of these survivors the time exceeded 15 min.

Conclusion
Survival after TCA is possible. Determining futility in TCA is difficult and this study demonstrates survivors outside of recent guidelines.
Delivery decision in pregnant women rescued by ECMO for severe ARDS: a retrospective multicenter cohort study
Authors: Aissi James Sarah , Guervilly Christophe , Lesouhaitier Mathieu , Coppens Alexandre , Haddadi Clément , Lebreton Guillaume , Nizard Jacky , Brechot Nicolas , Assouline Benjamin , Saura Ouriel , Levy David , Lefèvre Lucie , Barhoum Pétra , Chommeloux Juliette , Hékimian Guillaume , Luyt Charles-Edouard , Kimmoun Antoine , Combes Alain , Schmidt Matthieu 
Published: October 2022

Abstract
Background
Although rarely addressed in the literature, a key question in the care of critically pregnant women with severe acute respiratory distress syndrome (ARDS), especially at the time of extracorporeal membrane oxygenation (ECMO) decision, is whether delivery might substantially improve the mother’s and child’s conditions. This multicenter, retrospective cohort aims to report maternal and fetal short- and long-term outcomes of pregnant women with ECMO-rescued severe ARDS according to the timing of the delivery decision taken before or after ECMO cannulation.

Methods
We included critically ill women with ongoing pregnancy or within 15 days after a maternal/child-rescue-aimed delivery supported by ECMO for a severe ARDS between October 2009 and August 2021 in four ECMO centers. Clinical characteristics, critical care management, complications, and hospital discharge status for both mothers and children were collected. Long-term outcomes and premature birth complications were assessed.

Results
Among 563 women on venovenous ECMO during the study period, 11 were cannulated during an ongoing pregnancy at a median (range) of 25 (21–29) gestational weeks, and 13 after an emergency delivery performed at 32 (17–39) weeks of gestation. Pre-ECMO PaO2/FiO2 ratio was 57 (26–98) and did not differ between the two groups. Patients on ECMO after delivery reported more major bleeding (46 vs. 18%, p = 0.05) than those with ongoing pregnancy. Overall, the maternal hospital survival was 88%, which was not different between the two groups. Four (36%) of pregnant women had a spontaneous expulsion on ECMO, and fetal survival was higher when ECMO was set after delivery (92% vs. 55%, p = 0.03). Among newborns alive, no severe preterm morbidity or long-term sequelae were reported.

Conclusion
Continuation of the pregnancy on ECMO support carries a significant risk of fetal death while improving prematurity-related morbidity in alive newborns with no difference in maternal outcomes. Decisions regarding timing, place, and mode of delivery should be taken and regularly (re)assess by a multidisciplinary team in experienced ECMO centers.
An engineered non-oxidative glycolytic bypass based on Calvin-cycle enzymes enables anaerobic co-fermentation of glucose and sorbitol by Saccharomyces cerevisiae
Authors: van Aalst Aafke C. A. , Mans Robert , Pronk Jack T. 
Published: October 2022

Abstract
Background
Saccharomyces cerevisiae is intensively used for industrial ethanol production. Its native fermentation pathway enables a maximum product yield of 2 mol of ethanol per mole of glucose. Based on conservation laws, supply of additional electrons could support even higher ethanol yields. However, this option is disallowed by the configuration of the native yeast metabolic network. To explore metabolic engineering strategies for eliminating this constraint, we studied alcoholic fermentation of sorbitol. Sorbitol cannot be fermented anaerobically by S. cerevisiae because its oxidation to pyruvate via glycolysis yields one more NADH than conversion of glucose. To enable re-oxidation of this additional NADH by alcoholic fermentation, sorbitol metabolism was studied in S. cerevisiae strains that functionally express heterologous genes for ribulose-1,5-bisphosphate carboxylase (RuBisCO) and phosphoribulokinase (PRK). Together with the yeast non-oxidative pentose-phosphate pathway, these Calvin-cycle enzymes enable a bypass of the oxidative reaction in yeast glycolysis.

Results
Consistent with earlier reports, overproduction of the native sorbitol transporter Hxt15 and the NAD+-dependent sorbitol dehydrogenase Sor2 enabled aerobic, but not anaerobic growth of S. cerevisiae on sorbitol. In anaerobic, slow-growing chemostat cultures on glucose–sorbitol mixtures, functional expression of PRK-RuBisCO pathway genes enabled a 12-fold higher rate of sorbitol co-consumption than observed in a sorbitol-consuming reference strain. Consistent with the high Km for CO2 of the bacterial RuBisCO that was introduced in the engineered yeast strains, sorbitol consumption and increased ethanol formation depended on enrichment of the inlet gas with CO2. Prolonged chemostat cultivation on glucose–sorbitol mixtures led to loss of sorbitol co-fermentation. Whole-genome resequencing after prolonged cultivation suggested a trade-off between glucose-utilization and efficient fermentation of sorbitol via the PRK-RuBisCO pathway.

Conclusions
Combination of the native sorbitol assimilation pathway of S. cerevisiae and an engineered PRK-RuBisCO pathway enabled RuBisCO-dependent, anaerobic co-fermentation of sorbitol and glucose. This study demonstrates the potential for increasing the flexibility of redox-cofactor metabolism in anaerobic S. cerevisiae cultures and, thereby, to extend substrate range and improve product yields in anaerobic yeast-based processes by enabling entry of additional electrons.
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules
Authors: Choi Jong Youl , Zhang Pei , Mehta Kshitij , Blanchard Andrew , Lupo Pasini Massimiliano 
Published: October 2022

AbstractGraph Convolutional Neural Network (GCNN) is a popular class of deep learning (DL) models in material science to predict material properties from the graph representation of molecular structures. Training an accurate and comprehensive GCNN surrogate for molecular design requires large-scale graph datasets and is usually a time-consuming process. Recent advances in GPUs and distributed computing open a path to reduce the computational cost for GCNN training effectively. However, efficient utilization of high performance computing (HPC) resources for training requires simultaneously optimizing large-scale data management and scalable stochastic batched optimization techniques. In this work, we focus on building GCNN models on HPC systems to predict material properties of millions of molecules. We use HydraGNN, our in-house library for large-scale GCNN training, leveraging distributed data parallelism in PyTorch. We use ADIOS, a high-performance data management framework for efficient storage and reading of large molecular graph data. We perform parallel training on two open-source large-scale graph datasets to build a GCNN predictor for an important quantum property known as the HOMO-LUMO gap. We measure the scalability, accuracy, and convergence of our approach on two DOE supercomputers: the Summit supercomputer at the Oak Ridge Leadership Computing Facility (OLCF) and the Perlmutter system at the National Energy Research Scientific Computing Center (NERSC). We present our experimental results with HydraGNN showing (i) reduction of data loading time up to 4.2 times compared with a conventional method and (ii) linear scaling performance for training up to 1024 GPUs on both Summit and Perlmutter.
Protective effect of Secukinumab on severe sepsis model rats by neutralizing IL-17A to inhibit IKBα/NFκB inflammatory signal pathway
Authors: Wang Xingsheng , Zhang Xinxin , Sun Li , Gao Guangsheng , Li Yun 
Published: October 2022

AbstractSecukinumab is a specific neutralizing antibody for IL-17A. At present, numerous studies have confirmed the important role of IL-17A in sepsis, but the role of secukinumab in sepsis has not been studied. The present study explored the protective effect and underlying mechanism of secukinumab in severe sepsis model rats. We established a severe sepsis rat model using cecal ligation and puncture (CLP). The optimal dose of secukinumab was determined by observing the 7-day survival rate of severe sepsis model rats. The expression levels of TNF-α, IL-6, and IL-17A in plasma and lung tissue were determined by enzyme-linked immunosorbent assay. The degree of pathological damage to lung tissue was evaluated by hematoxylin–eosin (H–E) staining and pathological damage scale. The expressions of IKBα/NFκB pathway proteins and downstream-related inflammatory factors were detected by western blotting and real-time quantitative polymerase chain reaction (RT-qPCR). Our results show that high-dose secukinumab can inhibit the activation of the IKBα/NFκB inflammatory pathway by neutralizing IL-17A and reducing the gene expression of pathway-related inflammatory cytokines, thereby reducing the levels of inflammatory cytokines in lung tissue and plasma, thereby reducing the damage of lung tissue in severe sepsis model rats and improving the systemic inflammatory response.
Mining the microbiota to identify gut commensals modulating neuroinflammation in a mouse model of multiple sclerosis
Authors: Bianchimano Paola , Britton Graham J. , Wallach David S. , Smith Emma M. , Cox Laura M. , Liu Shirong , Iwanowski Kacper , Weiner Howard L. , Faith Jeremiah J. , Clemente Jose C. , Tankou Stephanie K. 
Published: October 2022

AbstractBackgroundThe gut microbiome plays an important role in autoimmunity including multiple sclerosis and its mouse model called experimental autoimmune encephalomyelitis (EAE). Prior studies have demonstrated that the multiple sclerosis gut microbiota can contribute to disease, hence making it a potential therapeutic target. In addition, antibiotic treatment has been shown to ameliorate disease in the EAE mouse model of multiple sclerosis. Yet, to this date, the mechanisms mediating these antibiotic effects are not understood. Furthermore, there is no consensus on the gut-derived bacterial strains that drive neuroinflammation in multiple sclerosis.ResultsHere, we characterized the gut microbiome of untreated and vancomycin-treated EAE mice over time to identify bacteria with neuroimmunomodulatory potential. We observed alterations in the gut microbiota composition following EAE induction. We found that vancomycin treatment ameliorates EAE, and that this protective effect is mediated via the microbiota. Notably, we observed increased abundance of bacteria known to be strong inducers of regulatory T cells, including members of Clostridium clusters XIVa and XVIII in vancomycin-treated mice during the presymptomatic phase of EAE, as well as at disease peak. We identified 50 bacterial taxa that correlate with EAE severity. Interestingly, several of these taxa exist in the human gut, and some of them have been implicated in multiple sclerosis includingAnaerotruncus colihominis, a butyrate producer,which had a positive correlation with disease severity. We found thatAnaerotruncus colihominisameliorates EAE, and this is associated with induction of RORγt+regulatory T cells in the mesenteric lymph nodes.ConclusionsWe identified vancomycin as a potent modulator of the gut-brain axis by promoting the proliferation of bacterial species that induce regulatory T cells. In addition, our findings reveal 50 gut commensals as regulator of the gut-brain axis that can be used to further characterize pathogenic and beneficial host-microbiota interactions in multiple sclerosis patients. Our findings suggest that elevatedAnaerotruncus colihominisin multiple sclerosis patients may represent a protective mechanism associated with recovery from the disease.
The organic residues of lining in transport vessels from the Red Sea coast of Eritrea: a further element to understand past commercial relations
Authors: Zerai Abraham , Guerrini Camilla , Łucejko Jeannette J. , Ribechini Erika , Piccirillo Anna , Massa Serena , Mandelli Chiara , Medin Tsegai , Re Alessandro , Lo Giudice Alessandro , Davit Patrizia , Gulmini Monica 
Published: October 2022

Abstract
The archaeological site of Adulis lays on the Red Sea Coast of Eritrea and during Late antiquity played a significant role in interregional commerce among the Mediterranean, the Red Sea and the Indian Ocean coasts. Contacts with the Eastern Mediterranean, Arabian Peninsula and the Sasanian world have been attested from different classes of pottery that were brought to light from on-going excavations at the site. Transport vessels have attracted particular attention as they testify the extent of trades and exchange networks. Transport vessels were coated by organic materials to seal porosity and make them suitable to transport different liquids and/or food. The characterisation of coating materials helped shedding light on their function, and support the attribution to different classes of transport vessels found in the Indian Ocean and Red Sea worlds. Here, the characterisation of the organic lining detected on a set of samples identified as Late Roman Amphora 1 is discussed. Results from the chemical analyses, performed preliminarily by FT-IR and then by GC–MS, revealed that bitumen was used for lining the jars, thus leading to set the classification of the amphorae within the wide class of the so- called Torpedo jars. By overcoming the question of typological complexity posed from macroscopic examination of the sherds, the chemical investigation contributed here crucial information for the interpretation of past trading in the Indian Ocean. The research gave clues to broaden the distribution of the Torpedo jars to Adulis, giving an unexpected insight into the trading routes of the past.
Potential of low-temperature aquifer thermal energy storage (LT-ATES) in Germany
Authors: Stemmle Ruben , Hammer Vanessa , Blum Philipp , Menberg Kathrin 
Published: October 2022

AbstractMore than 30% of Germany’s final energy consumption currently results from thermal energy for heating and cooling in the building sector. One possibility to achieve significant greenhouse gas emission savings in space heating and cooling is the application of aquifer thermal energy storage (ATES) systems. Hence, this study maps the spatial technical potential of shallow low-temperature ATES systems in Germany. Important criteria for efficient ATES operation considered in this assessment encompass suitable hydrogeological conditions, such as aquifer productivity and groundwater flow velocity, and balanced space heating and cooling demands. The latter is approximated by the ratio of heating and cooling degree days, which is incorporated as a time-dependent criterion to also evaluate the impact of climate change on the ATES potential. The hydrogeological and climatic criteria are combined within a spatial analysis revealing that, regarding the upcoming decades, about 54% of the investigated German area are very well or well suitable for ATES applications, largely concentrating on three regions: the North German Basin, the Upper Rhine Graben and the South German Molasse Basin. Considering time-dependent climatic conditions, the very well or well suitable areas will increase by 13% for the time period 2071–2100. This is mostly caused by a large relative area increase of the very well suitable regions due to an increasing cooling demand in the future. The sensitivity of the very well and well suitable regions to the criteria weightings is relatively low. Accounting for existing water protection zones shows a reduction of the country-wide share of very well or well suitable areas by around 11%. Nevertheless, the newly created potential map reveals a huge potential for shallow low-temperature ATES systems in Germany.
Molecular characteristics of humic substances from different origins and their effects on growth and metabolism of Pinus laricio callus
Authors: Muscolo A. , Sidari M. , Cozzolino V. , Nuzzo A. , Nardi S. , Piccolo A. 
Published: October 2022

Abstract
Humic susbtances (HS) are increasingly applied as biostimulants in agriculture, though their mechanism of action is not yet completely understood due to their complex and heterogeneous composition. Here, we isolated thirteen different humic and fulvic acids from different sources, such as soils, composts, peat, leonardite and lignite, and characterized the distribution of their carbon components by 13C-CPMAS–NMR spectroscopy. Callus of Pinus Laricio, as a model plant species, was treated with different humic extracts and its growth and content of carbohydrates, phenols, and enzyme related to the nitrogen metabolism (invertase, glutamine synthetase, glutamate synthase, phosphoenoly pyruvate carboxylase, malate dehydrogenase) and stress resistance (catalase) were monitored. While a multivariate statistical analysis of NMR results well-separated the HS characteristics based on their origin, humic materials generally increased callus growth, as expected, with largest effects being exerted by the mostly polar humic acids from composts. However, the rest of measured parameters were not linearly related to hydrophobicity and aromaticity of humic isolates as well as their origin, but their conformational dynamics had to be advocated to explain their effects on callus cellular components. This work confirms that HS of various origin can act as sustainable biostimulants of plant growth, though the comprehension of their effects on plants biochemical activities requires further research and additional understanding of their molecular composition and conformational behaviour.

Graphical Abstract
Anomalies of air pressure in Serbia as a result of the eruption of the volcano Hunga Tonga–Hunga Ha'apai in mid-January 2022
Authors: Burić Dragan , Mihajlović Jovan , Ducić Vladan 
Published: October 2022

AbstractThe aim of the study is to show the anomalies of air pressure registered at meteorological stations in Serbia during the passage of shock waves on January 15 and 16, 2022, as a result of the Hunga Tonga–Hunga Ha'apai volcano eruption. Based on the assumption that the atmosphere of our planet behaves like a fluid, such and many other disturbances can be detected in any part of the Earth. Calculations have shown that the great circle distance from Belgrade (the capital of Serbia) to Hunga Tonga is 16,952 km. It was further determined that during the passage of the shock waves of such a distant phenomenon in the Pacific, air pressure anomalies, which were not related to the existing synoptic situation (the synoptic situation was stable, the weather was completely clear), had occurred in Serbia. The first stronger eruption occurred at 04:00 UTC on January 15. After the first stronger eruption, the research showed that two main shock waves had been distinguished in Serbia: the first one was registered around 19:00 UTC on January 15, and the second one was registered around 00:00 UTC on January 16. In both cases, in the next 2–3 h (19–22 UTC and 00–02 UTC), barographs at meteorological stations in Serbia recorded a pronounced oscillation of air pressure in a synoptically stable atmosphere. Also, the first shock wave return was noticed on January 17, around 08:00 UTC. Based on the distance and time registration of the shock wave in the form of air pressure anomaly at selected meteorological stations in Serbia, the speed of the shock wave was mathematically determined to be approximately 1,130 km h–1, which is close to the speed of sound.