bluuebunny/crossref_metadata_2025_split huggingface dataset:
Survival and Long-term Outcomes Following in-hospital Cardiac Arrest in a Swiss University Hospital: a Prospective Observational Study
Authors: Fuchs Alexander , Käser Dominic , Theiler Lorenz , Greif Robert , Knapp Jürgen , Berger-Estilita Joana 
Published: March 2021

Abstract
Background: Incidence of in-hospital cardiac arrest is reported to be 0.8 to 4.6 per 1,000 patient admissions. Patient survival to hospital discharge with favourable functional and neurological status is around 21%. The Bern University Hospital is a tertiary medical centre in Switzerland with a cardiac arrest team from the Department of Anaesthesiology and Pain Medicine that is available 24 h per day, 7 days per week. Due to lack of central documentation of cardiac arrest team interventions, the incidence, outcomes and survival rates of cardiac arrests are unknown. The aim was thus to record all cardiac arrest team interventions over 1 year, and to analyse the outcome and survival rates of adult patients after in-hospital cardiac arrests.Methods: We conducted a prospective single-centre observational study that recorded all adult in-hospital cardiac arrest team interventions over 1 year, using an Utstein-style case report form. The primary outcome was 30-day survival after in-hospital cardiac arrest. Secondary outcomes were return of spontaneous circulation, neurological status (after return of spontaneous circulation, after 24 h, after 30 days and 1 year), according to the Glasgow Outcomes Scale, and functional status at 30 days and 1 year, according to the Short-form-12 Health Survey.Results: The cardiac arrest team had 146 interventions over the study year, which included 60 non-life-threatening alarms (41.1%). The remaining 86 (58.9%) acute life-threatening situations included 68 (79.1%) as patients with cardiac arrest. The mean age of these cardiac arrest patients was 68 ±13 years, with a male predominance (51/68; 75.0%). Return of spontaneous circulation was recorded in 49 patients (72.1%). Over one-third of the cardiac arrest patients (27/68) were alive after 30 days with favourable neurological outcome. The patients who survived to 1 year after the event showed favourable neurological and functional status. Conclusions: The in-hospital cardiac arrest incidence on a large tertiary Swiss university hospital was 1.56 per 1,000 patient admissions. After a cardiac arrest, about a third of the patients survived to 1 year with favourable neurological and functional status. Early recognition and high-quality cardiopulmonary resuscitation provided by a well-organised team is crucial for patient survival.Trial Registration: The trial was registered in clinicaltrials.gov (NCT02746640).
Development of a Europium Nanoparticles Lateral Flow Immunoassay for NGAL Detection in Urine and Diagnosis of Acute Kidney Injury
Authors: Yin Moli , Nie Yuanwang , Liu Hao , Liu Lei , Tang Lu , Dong Yuan , Hu Chuanmin , Wang Huiyan 
Published: March 2021

Abstract
Background:AKI is related to severe adverse outcomes and mortality with Coronavirus Infection Disease 2019 (COVID-19) patients, that early diagnosed and intervened is imperative. Neutrophil gelatinase-associated lipocalin (NGAL) is one of the most promising biomarkers for detection of acute kidney injury (AKI), but current detection methods are inadequacy, so more rapid, convenient and accuracy methods are needed to detect NGAL for early diagnosis of AKI. Herein, we established a rapid, reliable and accuracy lateral flow immunoassay based on europium nanoparticles (Eu-NPS-LFIA) for the detection of NGAL in human urine specimens. Methods:A double-antibody sandwich immunofluorescent assay using europium doped nanoparticles was employed and the NGAL monoclonal antibodies conjugate as labels were generated by optimizing electric fusion parameters. Eighty-three urine samples were used to evaluate the clinical application efficiency of this method. Results:The quantitative detection range of NGAL in AKI was 1-3000 ng/mL, and the detection sensitization was 0.36 ng/mL. The CV of intra-assay and inter-assay were 2.57%-4.98% and 4.11%-7.83%, respectively. Meanwhile, the correlation coefficient between Eu-NPS-LFIA and ARCHITECT analyzer was significant (R2=0.9829, n=83, p<0.01). Conclusions:Thus, a faster and easier operation quantitative assay of NGAL for AKI has been established, which is very important and meaningful to diagnose the early AKI, suggesting that the assay can provide an early warning of final outcome of disease.
Profiling analysis of circular RNA and mRNA in human temporal lobe epilepsy with hippocampal sclerosis ILAE type 1
Authors: Gu Yifei , Wu Hongmei , Wang Tianyu , Yu Shengkun , Han Zhibin , Zhang Wang 
Published: March 2021

Abstract
Hippocampal sclerosis (HS) is the most common surgical pathology associated with temporal lobe epilepsy (TLE). However, the cause of TLE with or without HS remains unknown. Our current study aimed to illustrate the essential molecular mechanism that are potentially involved in the pathogenesis of TLE-HS and to shed light on the transcriptional changes associated with hippocampal sclerosis. RNA-seq analysis was performed to evaluate profiling of circRNAs and mRNAs in hippocampal tissues of HS IALE-type 1 and no-HS patients. Systematic bioinformatic analysis of expression levels was utilized in circRNAs and mRNAs. Altered expression of selected circRNAs and mRNAs levels was confirmed by RT-PCR. In this study, we explored transcriptomic profiling of circRNAs and mRNAs expression in 3 ILAE type 1 and 3 no-HS hippocampal tissues. Compared to no-HS group, 341 mRNA transcripts and 133 circRNA transcripts were differentially expressed in ILAE type 1 group. Gene Ontology analysis demonstrated that the dysregulated genes were associated with the biological processes of vesicle-mediated transport. Enrichment analysis demonstrated that dysregulated genes were involved mainly in the mitogen-activated protein kinase (MAPK) signal pathway. Subsequently, A total of 441 known or predicted interactions were formed among DEGs, and the most important module was detected in the PPI network using the MCODE plug-in. There were mainly four functional modules enriched: ER to Golgi transport vesicle membrane, Basal transcription factors, GABA-gated chloride ion channel activity, CENP-A containing nucleosome assembly. A circRNA-mRNA co-expression network was constructed including 5 circRNAs(hsa_circ_0025349, hsa_circ_0002405, hsa_circ_0004805, hsa_circ_0032254, and hsa_circ_0032875) and three mRNAs (FYN, SELENBP1, and GRIPAP1) based on the normalized mRNA signal intensities. This is the first to report the circRNAs and mRNAs expression profile of surgically resected hippocampal tissues from TLE patients of ILAE-1 and no-HS, and these results may provide new insight on the transcriptional changes associated with this pathology.
Influenza- and COVID-19-associated pulmonary aspergillosis: are the pictures different?
Authors: reizine florian , Pinceaux Kieran , Lederlin Mathieu , Autier Brice , Guegan Hélène , Gacouin Arnaud , Luque-Paz David , Boglione-Kerrien Christelle , Bacle Astrid , Dare Brendan Le , Launey Yoann , Lesouhaitier Mathieu , Painvin Benoit , Camus Christophe , Mansour Alexandre , Robert-Gangneux Florence , Belaz Sorya , Tulzo Yves Le , Tadié Jean-Marc , Maamar Adel , Gangneux Jean-Pierre 
Published: March 2021

Abstract

BackgroundInvasive pulmonary aspergillosis (IPA) in intensive care unit patients is a major concern, in particular for those with acute respiratory distress syndrome (ARDS). As observed previously for influenza-associated ARDS, the SARS-CoV-2 pandemic has shown a high proportion of COVID-19 patients with ARDS to be at risk of developing invasive fungal diseases.MethodsWe used the new international definitions of influenza-associated pulmonary aspergillosis (IAPA) and COVID-19-associated pulmonary aspergillosis (CAPA) to compare the demographic, clinical, biological and radiological aspects of IAPA and CAPA in a monocentric retrospective study.ResultsAmong the 120 ARDS patients included, we observed equivalent prevalence of IPA in Influenza and COVID-19 populations: 17 IAPA (23.9%) and 10 CAPA (20.4%). There were no significant differences in demographic or admission characteristics between patients with and without IPA. Kaplan-Meier curves showed significantly higher 90-day mortality for IPA patients overall (p = 0.032), whereas mortality did not differ between CAPA and IAPA. The duration of mechanical ventilation was higher for IPA patients (23 days [IQR 17–40] than those without (17 days [IQR 9–25], p = 0.038). Patients with COVID-19 and influenza associated ARDS treated with corticosteroids were more likely to develop IPA. Radiological findings of IPA in both populations using the new criteria increased sensitivity but with still poor specificity. Nonetheless, they also showed interesting differences between IAPA and CAPA with a higher proportion of features suggestive of IPA in IAPA patients. Lastly, therapeutic drug monitoring also appeared challenging since a wide proportion of IPA patients had low plasma voriconazole concentrations, with a significant higher delay to reach voriconazole concentrations > 2mg/L in CAPA versus IAPA patients (p = 0.045).ConclusionsICU patients presenting with ARDS during COVID-19 are very similar to those with severe influenza pneumonia in terms of prevalence of IPA and outcome, while CAPA is mainly favored by advanced age irrespective of the background. The dramatic consequences on the patients' prognosis emphasize the need for a better awareness in these particular populations. Larger prospective studies may help in designing the most well-adapted personalized management to prevent IPA, which represents a high burden of death in severe COVID-19 and Influenza pneumonia.
Three different genetic risk scores based on Fatty Liver Index, Magnetic Resonance Imaging and lipidomic for a nutrigenetic personalized management of NAFLD: the Fatty Liver in Obesity study
Authors: Pérez-Díaz-del-Campo Nuria , Riezu-Boj Jose I. , Marin-Alejandre Bertha Araceli , Monreal J. Ignacio , Elorz Mariana , Herrero José Ignacio , Benito-Boillos Alberto , Milagro Fermín I. , Tur Josep A. , Abete Itziar , Zulet M. Angeles , Martinez J. Alfredo 
Published: March 2021

Abstract

Background
Non-alcoholic fatty liver disease (NAFLD) affects 25% of the global population. The pathogenesis of NAFLD is complex where available data unveils that genetics and ascribed interactions with environmental factors may play an important role in the development of this morbid condition. The purpose of this investigation was to assess genetic and non-genetic determinants putatively involved in the onset and progression of NAFLD after a 6-months weight-loss nutritional treatment.
Methods
A group of 86 overweight/obese subjects with NAFLD from the Fatty Liver in Obesity (FLiO) study were enrolled and metabolically evaluated at baseline and after 6-months. Also, a total of 95 single nucleotide polymorphisms (SNPs) related to obesity and weight loss were analyzed by a targeted next-generation sequencing system. Three genetic risk scores (GRS) concerning the improvement on hepatic health evaluated by minimally invasive methods such as the Fatty Liver Index (FLI) (GRSFLI), lipidomic-OWLiver®-test (GRSOWL) and Magnetic Resonance Imaging (MRI) (GRSMRI), were derived by adding the risk alleles genotypes. Body composition, liver injury-related markers and dietary intake were also monitored.
Results
Overall, 26 SNPs were independently associated with the change on FLI, 16 SNPs with OWLiver®-test and 8 SNPs with MRI, which were specific for every diagnosis tool. After adjusting for gender, age and other related predictors (insulin resistance, inflammatory biomarkers and dietary intake at baseline) the calculated GRSFLI, GRSOWL and GRSMRI were major contributors of the improvement on hepatic status. Thus, fitted linear regression models showed a variance of 53% (adj. R2 = 0.53) in hepatic functionality (FLI), 16% (adj. R2 = 0.16) in lipidomic metabolism (OWLiver®-test) and 34% (adj. R2 = 0.34) in liver fat content (MRI).
Conclusion
These results demonstrate that three different genetic scores can be useful for the personalized management of NAFLD, whose treatment must rely on specific dietary recommendations guided by the measurement of specific genetic biomarkers.
Trial registration:
The FLiO study: Fatty Liver in Obesity study, NCT03183193. Registered 12 June 2017 - Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03183193
Political Polarization in the Media Landscape: The Case of Indonesian Elections
Authors: maulana ardian , Situngkir Hokky 
Published: March 2021

Abstract
Political polarization has long been a central topic for political science. This study investigate the phenomenon of political polarization in Indonesian news media landscape during the 2019 Presidential Election. We represent the media landscape as a network of news media based on their shared audience, and implement community detection algorithms to extract media clusters. We also construct a time series of media network and explore the dynamics of polarization during the observation period. The study confirms the existence of political polarization in the global and temporal networks of Indonesian news media, and shows that Twitter users' news consumption behavior is highly polarized. We also reveal periods with higher and lower polarization throughout the observation period, namely the degree of polarization in the media landscape is already high from the start of the observation, relaxes quickly after the election, and then reaches its maximum prior to the announcement of the official results.
Disassembly sequence planning based on a modified grey wolf optimizer
Authors: Xie Jin , Li Xinyu , Gao Liang 
Published: March 2021

Abstract
Disassembly sequence planning (DSP) can effectively increase the disassembly efficiency, shorten the disassembly cycle, reduce disassembly costs and reduce environmental hazards of end-of-life (EOL) products, playing an important role in manufacturing industries. Thus, it is urgent to propose an approach to solve the DSP problem. DSP is a famous NP-hard combinatorial optimization problem. As the size of components increases, exact algorithms can hardly obtain the optimal disassembly sequence. Therefore, we proposes a promising intelligence algorithm, modified grey wolf optimizer (MGWO), for solving the DSP problem. MGWO inherits the main idea of the hierarchy and hunting mechanism of the original grey wolf optimizer (GWO). Three new operators are designed in MGWO to ensure the feasibility of solutions under the complex constraint of disassembly precedence. The feasible solution generator (FSG) is designed to obtain feasible disassembly sequences, the neighborhood search operator (NSO) is developed to make wolves (solutions) self-evolving, and the guided search operator (GSO) is used to make the wolf group guided by three leaders of wolves. Two engineering cases are applied to validate the effectiveness of the proposed operators. Then, they and one real-world application are used to compare the MGWO with other reported methods. The results demonstrate that MGWO can solve the DSP problem effectively.
Telemedical Second Opinions in Germany – a Customer Survey of an Online Portal
Authors: Könsgen Nadja , Prediger Barbara , Schlimbach Anna , Bora Ana-Mihaela , Weißflog Victoria , Loh Jan-Christoph , Bruch Dunja , Pieper Dawid 
Published: March 2021

Abstract
BackgroundSecond medical opinions (SOs) can strengthen patients’ certainty in decision-making. Since 2019, statutory health insured German residents have the right to obtain an SO for selected indications according to the SO Directive. Additionally, several health insurers offer SO programs often in cooperation with telemedical SO providers. Telemedical SO programs are mostly based on documents only. Our aim was to analyze the characteristics of people who obtained telemedical SOs, their experiences made during the SO process, and their assessment of SOs in general and of the different routes of SO delivery (personally/by phone/documents only).MethodsGerman residents who obtained an SO via an online portal between January 2016 and February 2019 (n=1247) were contacted by post between August and November 2019 up to three times. The results were analyzed descriptively.ResultsThe 368 participants (response rate 30%) were 54% male, 95% statutory health insured and 61 years old (median; interquartile range 51-72). Most participants reported having an orthopedic condition (87%) or had been recommended surgery (78%). The most common reason for seeking an SO in general was the need for more information on further treatment recommendations (64%). A telemedical SO was mainly chosen because it was offered by the health insurer (82%). Disagreements between first opinions and SOs occurred in 55% of the participants. Approximately 60% of the participants with disagreements followed the treatment recommendation of the SO. For 67% of the participants, the SO (rather) enhanced the certainty in decision-making. Approximately 75% were (rather) satisfied with obtaining the SO via the online portal, and 95% would seek another SO (irrespective of the online portal). The most preferred route of SO delivery was a personally delivered SO, which 80% would (rather) consider, followed by 70% (rather) considering SOs based on documents only and 48% (rather) considering SOs by phone.ConclusionSOs were generally appreciated. Although our results show that SOs (based on documents only) support patients and that patient satisfaction was high, personally delivered SOs were still preferred. Future research on the use of SOs based on documents only (in which patient population and in what situations) is needed.
Numerical Integration of Multibody Dynamic Systems Involving Nonholonomic Equality Constraints
Authors: Natsiavas Sotirios , Passas Panagiotis , Paraskevopoulos Elias 
Published: March 2021

Abstract
This work considers a class of multibody dynamic systems involving bilateral nonholonomic constraints. An appropriate set of equations of motion is employed first. This set is derived by application of Newton’s second law and appears as a coupled system of strongly nonlinear second order ordinary differential equations in both the generalized coordinates and the Lagrange multipliers associated to the motion constraints. Next, these equations are manipulated properly and converted to a weak form. Furthermore, the position, velocity and momentum type quantities are subsequently treated as independent. This yields a three-field set of equations of motion, which is then used as a basis for performing a suitable temporal discretization, leading to a complete time integration scheme. In order to test and validate its accuracy and numerical efficiency, this scheme is applied next to challenging mechanical examples, exhibiting rich dynamics. In all cases, the emphasis is put on highlighting the advantages of the new method by direct comparison with existing analytical solutions as well as with results of current state of the art numerical methods. Finally, a comparison is also performed with results available for a benchmark problem.
The German Research Consortium for the Study of Bipolar Disorder (BipoLife): A Magnetic Resonance Imaging Study Protocol
Authors: Vogelbacher Christoph , Sommer Jens , Schuster Verena , Bopp Miriam H. A. , Falkenberg Irina , Ritter Philipp S. , Bermpohl Felix , Attar Catherine Hindi , Rauer Lisa , Einenkel Karolin E. , Teutlein Jens , Gruber Oliver , Juckel Georg , Flasbeck Vera , Mulert Christoph , Hautzinger Martin , Pfennig Andrea , Matura Silke , Reif Andreas , Grotegerd Dominik , Danlowski Udo , Kircher Tilo , Bauer Michael , Jansen Andreas 
Published: March 2021

Abstract
Background: Bipolar disorder is one of the most severe mental disorders. Its chronic course is associated with high rates of morbidity and mortality, a high risk of suicide and poor social and occupational outcomes. Despite the great advances over the last decades in understanding mental disorders, the mechanisms underlying bipolar disorder at the neural network level still remain elusive. This has severe consequences for clinical practice, for instance by inadequate diagnoses or delayed treatments. The German research consortium BipoLife aims to shed light on the mechanisms underlying bipolar disorders. It was established in 2015 and incorporates ten university hospitals across Germany. Its research projects focus in particular on individuals at high risk of bipolar disorder, young patients in the early stages of the disease and patients with an unstable highly relapsing course and/or with acute suicidal ideation. Methods: Functional and structural magnetic resonance imaging (MRI) data was acquired across nine sites within three different studies. Obtaining neuroimaging data in a multicenter setting requires among others the harmonization of the acquisition protocol, the standardization of paradigms and the implementation of regular quality control procedures. The present article outlines the MRI imaging protocols, the acquisition parameters, the imaging paradigms, the neuroimaging quality assessment procedures and the number of recruited subjects.Discussion: The careful implementation of a MRI study protocol as well as the adherence to well-defined quality assessment procedures is one key benchmark in the evaluation of the overall quality of large-scale multicenter imaging studies. This article contributes to the BipoLife project by outlining the rationale and the design of the MRI study protocol. It helps to set the necessary standards for follow-up analyses and provides the technical details for an in-depth understanding of follow-up publications.
Predicting the Ultimate Tensile Strength of AISI 1045 steel and 2017-T4 aluminum alloy joints in a laser-assisted rotary friction welding process using Machine learning: a comparison with Response surface methodology
Authors: Barrionuevo Germán Omar , Mullo José Luis , Ramos-Grez Jorge Andrés 
Published: March 2021

Abstract
Welding metal alloys with dissimilar melting points make conventional welding processes not feasible to be used. Friction welding, on the other hand, has proven to be a promising technology. However, obtaining the welded joint's mechanical properties with characteristics similar to the base materials remains a challenge. In the development of this work, several of the machine learning (ML) regressors (e.g., Gaussian process, decision tree, random forest, gradient boosting, and multi-layer perceptron) were evaluated for the prediction of the ultimate tensile strength (UTS) in joints of AISI 1045 steel and 2017-T4 aluminum alloy produced by rotary friction welding with laser assistance. A mixed design of experiments was employed to assess the effect of the rotation speed, friction pressure, and laser power over the UTS. Furthermore, the response surface methodology (RSM) was employed to determine an empirical equation for predicting the UTS, and contours maps determine the main interactions. A total of 48 specimens were employed to train the regressors; the 5-fold cross-validation methodology was used to find the algorithm with greater precision. The gradient boosting regressor (GBR) and Gaussian processes regressors present the highest precision with a less than 3% percentage error for the laser-assisted rotary friction welding process. The capability of the GBR exceeds the accuracy of the RSM with a coefficient of determination (R2) of 90.90 versus 83.24 %, respectively.