bluuebunny/crossref_metadata_2025_split huggingface dataset:
Invasion and Defense Interactions between Enzyme‐Active Liquid Coacervate Protocells and Living Cells
Authors: Zhang Yanwen , Liu Songyang , Yao Yu , Chen Yufeng , Zhou Shaohong , Yang Xiaohai , Wang Kemin , Liu Jianbo 
Published: May 2020

AbstractThe design and construction of mutual interaction models between artificial microsystems and living cells have the potential to open a wide range of novel applications in biomedical and biomimetic technologies. In this study, an artificial form of invasion‐defense mutual interactions is established in a community of glucose oxidase (GOx)‐containing liquid coacervate microdroplets and living cells, which interact via enzyme‐mediated reactive oxygen species (ROS) damage. The enzyme‐containing coacervate microdroplets, formed via liquid–liquid phase separation, act as invader protocells to electrostatically bind with the host HepG2 cell, resulting in assimilation. Subsequently, the glucose oxidation in the liquid coacervates initiates the generation of H2O2, which serves as an ROS resource to block cell proliferation. As a defense strategy, introduction of catalase (CAT) into the host cells is exploited to resist the ROS damage. CAT‐mediated decomposition of H2O2 leads to the ROS scavenging and results in the recovery of cell viability. The results obtained in the current study highlight the remarkable opportunities for the development of mutual interacting communities on the interface of artificial protocells/living cells. They also provide a new approach for engineering cellular behaviors through exploiting artificial nonliving microsystems.
Leading edge erosion of wind turbine blades: Multiaxial critical plane fatigue model of coating degradation under random liquid impacts
Authors: Doagou‐Rad Saeed , Mishnaevsky Leon , Bech Jakob I. 
Published: May 2020

AbstractA computational model of rain erosion of wind turbine blades is presented. The model is based on the transient fluid–solid coupled finite element (FE) analysis of rain droplet/coating interaction and fatigue degradation analysis. The fatigue analysis of the surface degradation is based on multiaxial fatigue model and critical plane theory. The random rain fields are constructed computationally, and the estimated droplet sizes are included in FE model to acquire a library of load histories. Subsequently, the resulted nonproportional multiaxial high cycle fatigue problem is solved to assess the damage and lifetimes of the coatings. The approach can be used to design new coating systems withstanding longer service times.
Biocontrol ability and action mechanisms of Aureobasidium pullulans GE17 and Meyerozyma guilliermondii KL3 against Penicillium digitatum DSM2750 and Penicillium expansum DSM62841 causing postharvest diseases
Authors: Agirman Bilal , Erten Huseyin 
Published: May 2020

AbstractEpiphytic yeasts were isolated from different cultivars of apples and lemons and identified by a combination of PCR‐RFLP of 5.8S rRNA region and sequencing of D1/D2 domain of the 26S rRNA gene. Among 69 isolates, Aureobasidium pullulans GE17 and Meyerozyma guilliermondii KL3 strains showed the greatest antagonistic activity against two significant apple and lemon postharvest pathogens, Penicillium expansum DSM62841 (blue mold) and Penicillium digitatum DSM2750 (green mold), after preliminary screening. Yeasts were applied as single and mixed cultures with two different cell concentrations of 106 and 108 cells/ml in the present study. It was determined that antagonistic activity of two yeast strains studied emerged with a combination of several mechanisms of action including competition for space and nutrients, production of volatile organic compounds (VOCs), secretion of extracellular lytic enzymes and inhibition of fungal spore germination. The highest inhibition of mycelial growth on P. expansum DSM62841 and P. digitatum DSM2750 (83.4% and 74.7%, respectively) was achieved by utilization of single culture of A. pullulans GE17. Otherwise, the application of mixed culture at the ratio of 108 cells/ml inhibited spore germination of both pathogens from 86% to 95%. Results of this study suggest that an increase in yeast cell concentrations positively affected their biocontrol activity against blue and green molds. According to the results, employing single culture of M. guilliermondii KL3 did not exhibit effective antagonistic activity against blue and green molds. However, utilization of A. pullulans GE17 alone and mixed culture showed succesfull controlling against both P. expansum DSM62841 and P. digitatum DSM2750.
On the convergence of Lawson methods for semilinear stiff problems
Authors: Hochbruck Marlis , Leibold Jan , Ostermann Alexander 
Published: May 2020

AbstractSince their introduction in 1967, Lawson methods have achieved constant interest in the time discretization of evolution equations. The methods were originally devised for the numerical solution of stiff differential equations. Meanwhile, they constitute a well-established class of exponential integrators, which has turned out to be competitive for solving space discretizations of certain types of partial differential equations. The popularity of Lawson methods is in some contrast to the fact that they may have a bad convergence behaviour, since they do not satisfy any of the stiff order conditions. The aim of this paper is to explain this discrepancy. It is shown that non-stiff order conditions together with appropriate regularity assumptions imply high-order convergence of Lawson methods. Note, however, that the term regularity here includes the behaviour of the solution at the boundary. For instance, Lawson methods will behave well in the case of periodic boundary conditions, but they will show a dramatic order reduction for, e.g., Dirichlet boundary conditions. The precise regularity assumptions required for high-order convergence are worked out in this paper and related to the corresponding assumptions for splitting schemes. In contrast to previous work, the analysis is based on expansions of the exact and the numerical solution along the flow of the homogeneous problem. Numerical examples for the Schrödinger equation are included.
Convergence of a finite volume scheme for a system of interacting species with cross-diffusion
Authors: Carrillo José A. , Filbet Francis , Schmidtchen Markus 
Published: May 2020

AbstractIn this work we present the convergence of a positivity preserving semi-discrete finite volume scheme for a coupled system of two non-local partial differential equations with cross-diffusion. The key to proving the convergence result is to establish positivity in order to obtain a discrete energy estimate to obtain compactness. We numerically observe the convergence to reference solutions with a first order accuracy in space. Moreover we recover segregated stationary states in spite of the regularising effect of the self-diffusion. However, if the self-diffusion or the cross-diffusion is strong enough, mixing occurs while both densities remain continuous.
Simultaneous determination of vitamin B6 and catechins in dietary supplements by ZIC-HILIC chromatography and their antioxidant interactions
Authors: Sentkowska Aleksandra , Piwowarczyk Sylwia , Pyrzyńska Krystyna 
Published: May 2020

AbstractHydrophilic interaction liquid chromatography coupled to mass spectrometry was employed for simultaneous determination of vitamin B6 and catechins in dietary supplements. The obtained results clearly shows the potential of the application of alcohol eluent (instead mainly used acetonitrile) as a component of an with zwitterionic stationary phase. The limits of detection on ZIC-HILIC column were 0.01 mg/L for catechins and vitamins B (only for pyridoxal phosphate was 0.10 mg/L). The investigations between green tea extract (GTE) and vitamin B were also evaluated using isobolographic analysis as well as the interaction indexes. Antioxidant activities of single components and their mixtures were determined by DPPH assay. It was found that the mixtures of GTE and vitamin B acted synergistically. In comparison to GTE alone, faster DPPH radical bleaching of the mixtures was observed in the presence of different forms of vitamin B6 (pyridoxine, pyridoxal, or pyridoxal phosphate), particularly for pyridoxal.
Impact of the COVID-19 pandemic on patients suffering from musculoskeletal tumours
Authors: Thaler Martin , Khosravi Ismail , Leithner Andreas , Papagelopoulos Panayiotis J. , Ruggieri Pietro 
Published: May 2020

Abstract
Background
The aim of the current study was to evaluate the impact of the coronavirus disease (COVID-19) pandemic on musculoskeletal tumor service by conducting an online survey of physicians.

Methods
The survey was conducted among the members of the ISOLS (International Society of Limb Salvage) and the EMSOS (European Musculo-Skeletal Oncology Society). The survey consisted of 20 questions (single, multiple-response, ranked): origin and surgical experience of the participant (four questions), potential disruption of healthcare (12 questions), and influence of the COVID-19 pandemic on the particular physician (four questions). A matrix with four different response options was created for the particular surgical procedures).

Results
One hundred forty-nine physicians from five continents completed the survey. Of the respondents, 20.1% and 20.7% stated that surgery for life-threatening sarcomas were stopped or delayed, respectively. Even when the malignancy was expected to involve infiltration of a neurovascular bundle or fracture of a bone, still 13.8% and 14.7% of the respondents, respectively, stated that surgery was not performed. In cases of pending fractures of bone tumors, 37.5 to 46.2% of operations were canceled.

Conclusion
The SARS-CoV-2 pandemic caused a significant reduction in healthcare (surgery, radiotherapy, chemotherapy) for malignancies of the musculoskeletal system. Delaying or stopping these treatments is life-threatening or can cause severe morbidity, pain, and loss of function. Although the coronavirus disease causes severe medical complications, serious collateral damage including death due to delayed or untreated sarcomas should be avoided.
Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors
Authors: Strohm Lea , Hehakaya Charisma , Ranschaert Erik R. , Boon Wouter P. C. , Moors Ellen H. M. 
Published: May 2020

Abstract
Objective
The objective was to identify barriers and facilitators to the implementation of artificial intelligence (AI) applications in clinical radiology in The Netherlands.

Materials and methods
Using an embedded multiple case study, an exploratory, qualitative research design was followed. Data collection consisted of 24 semi-structured interviews from seven Dutch hospitals. The analysis of barriers and facilitators was guided by the recently published Non-adoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework for new medical technologies in healthcare organizations.

Results
Among the most important facilitating factors for implementation were the following: (i) pressure for cost containment in the Dutch healthcare system, (ii) high expectations of AI’s potential added value, (iii) presence of hospital-wide innovation strategies, and (iv) presence of a “local champion.” Among the most prominent hindering factors were the following: (i) inconsistent technical performance of AI applications, (ii) unstructured implementation processes, (iii) uncertain added value for clinical practice of AI applications, and (iv) large variance in acceptance and trust of direct (the radiologists) and indirect (the referring clinicians) adopters.

Conclusion
In order for AI applications to contribute to the improvement of the quality and efficiency of clinical radiology, implementation processes need to be carried out in a structured manner, thereby providing evidence on the clinical added value of AI applications.

Key Points
• Successful implementation of AI in radiology requires collaboration between radiologists and referring clinicians.
• Implementation of AI in radiology is facilitated by the presence of a local champion.
• Evidence on the clinical added value of AI in radiology is needed for successful implementation.
PSA, stage, grade and prostate cancer specific mortality in Asian American patients relative to Caucasians according to the United States Census Bureau race definitions
Authors: Deuker Marina , Stolzenbach L. Franziska , Pecoraro Angela , Rosiello Giuseppe , Luzzago Stefano , Tian Zhe , Saad Fred , Chun Felix K.-H. , Karakiewicz Pierre I. 
Published: May 2020

AbstractBackgroundThe United States Census Bureau recommends distinguishing between “Asians” vs. “Native Hawaiians or Other Pacific Islanders” (NHOPI). We tested for prognostic differences according to this stratification in patients with prostate cancer (PCa) of all stages.MethodsDescriptive statistics, time-trend analyses, Kaplan–Meier plots and multivariate Cox regression models were used to test for differences at diagnosis, as well as for cancer specific mortality (CSM) according to the Census Bureau’s definition in either non-metastatic or metastatic patients vs. 1:4 propensity score (PS)-matched Caucasian controls, identified within the Surveillance, Epidemiology and End Results database (2004–2016).ResultsOf all 380,705 PCa patients, NHOPI accounted for 1877 (0.5%) vs. 23,343 (6.1%) remaining Asians vs. 93.4% Caucasians. NHOPI invariably harbored worse PCa characteristics at diagnosis. The rates of PSA ≥ 20 ng/ml, Gleason ≥ 8, T3/T4, N1- and M1 stages were highest for NHOPI, followed by Asians, followed by Caucasians (PSA ≥ 20: 18.4 vs. 14.8 vs. 10.2%, Gleason ≥ 8: 24.9 vs. 22.1, vs. 15.9%, T3/T4: 5.5 vs. 4.2 vs. 3.5%, N1: 4.4 vs. 2.8, vs. 2.7%, M1: 8.3 vs. 4.9 vs. 3.9%). Despite the worst PCa characteristics at diagnosis, NHOPI did not exhibit worse CSM than Caucasians. Moreover, despite worse PCa characteristics, Asians exhibited more favorable CSM than Caucasians in comparisons that focussed on non-metastatic and on metastatic patients.ConclusionsOur observations corroborate the validity of the distinction between NHOPI and Asian patients according to the Census Bureau’s recommendation, since these two groups show differences in PSA, grade and stage characteristics at diagnosis in addition to exhibiting differences in CSM even after PS matching and multivariate adjustment.
Maternal caffeine intake during pregnancy and child neurodevelopment up to eight years of age—Results from the Norwegian Mother, Father and Child Cohort Study
Authors: Berglundh Sofia , Vollrath Margarete , Brantsæter Anne Lise , Brandlistuen Ragnhild , Solé-Navais Pol , Jacobsson Bo , Sengpiel Verena 
Published: May 2020

AbstractPurposeCurrent knowledge of the effect of prenatal caffeine exposure on the child’s neurodevelopment is contradictory. The current study aimed to study whether caffeine intake during pregnancy was associated with impaired child neurodevelopment up to 8 years of age.MethodA total of 64,189 full term pregnancies from the Norwegian Mother, Father and Child Cohort Study were included. A validated food-frequency questionnaire administered at gestational week 22 was used to obtain information on maternal caffeine intake from different sources. To assess child neurodevelopment (behaviour, temperament, motor development, language difficulties) validated scales were used to identify difficulties within each domain at 6, 18, 36 months as well as 5 and 8 years of age. Adjusted logistic regression models and mixed linear models were used to evaluate neurodevelopmental problems associated with maternal caffeine intake.ResultsPrenatal caffeine exposure was not associated with a persistently increased risk for behaviour, temperament, motor or language problems in children born at full-term. Results were consistent throughout all follow-ups and for different sources of caffeine intake. There was a minor trend towards an association between consumption of caffeinated soft drinks and high activity level, but this association was not driven by caffeine.ConclusionLow to moderate caffeine consumption during pregnancy was not associated with any persistent adverse effects concerning the child’s neurodevelopment up to 8 years of age. However, a few previous studies indicate an association between high caffeine consumption and negative neurodevelopment outcomes.
The work and training situation for young physicians undergoing specialty training in gynecology and obstetrics in Germany: an assessment of the status quo
Authors: Lermann Johannes , Knabl Julia , Neimann Johannes , Schulte Kevin , Proske Kim , Schott Sarah , Raspe Matthias 
Published: May 2020

Abstract
Purpose
General conditions in the health-care system in Germany have changed dramatically in recent years. Factors affecting this include above all demographic change, rapid developments in diagnostic and therapeutic options, and the application of economic criteria to the health-care sector. This study aimed to establish the current status quo regarding conditions of work and training for young doctors in gynecology and obstetrics, analyze stress factors, and suggest potential improvements.

Methods
Between October 2015 and March 2016, a web-based survey was carried out among residents and members of the German Society for Gynecology and Obstetrics. The electronic questionnaire comprised 65 items on seven topics. Part of the survey included the short version of a validated model of professional gratification crises for analyzing psychosocial work-related stress.

Results
The analysis included a total of 391 complete datasets. Considerable negative findings in relation to psychosocial work pressure, time and organizational factors, quality of specialty training, and compatibility between work and family life and work and academic tasks were detected. A high level of psychosocial work pressure is associated with more frequent job changes, reduced working hours, poorer health among physicians, and a lower subjectively assessed quality of care.

Conclusions
Greater efforts are needed from all the participants involved in patient care to achieve high-quality training and working conditions that allow physicians to work in a healthy and effective way. These aspects are all prerequisites for sustainably maximizing the resource “physician” and for ensuring high-quality patient care.
HIF-1α, HIF-2α, and ProExC: diagnostic or prognostic relevance in conjunctival intraepithelial neoplasia?
Authors: Nuessle Simone , Soriano Daniel , Boehringer Daniel , Mittelviefhaus Hans , Lange Clemens , Reinhard Thomas , Atzrodt Lisa , Auw-Haedrich Claudia 
Published: May 2020

Abstract
Purpose
The aim of this study was to investigate HIF-1α, HIF-2α, and ProExC expression in conjunctival intraepithelial neoplasia (CIN), to differentiate between metaplasia and dysplasia, and to access their value as diagnostic and prognostic immunohistochemical markers. Recurrence and progression into SCC (squamous cell carcinoma) were defined as endpoints.

Methods
Forty-three specimens including CIN I (2), CIN II (9), CIN III (29), with and without metaplasia, and metaplasia alone (3), as well as 21 conjunctival control specimens, were stained with antibodies against HIF-1α, HIF-2α, and ProExC. The percentage of positively stained cells were calculated and used for further analysis.

Results
The mean percentages of HIF-1α and HIF-2α were not increased in CIN. In comparison, the expressions of these markers were even significantly elevated in control specimens (p < 0.001). Upper epithelial cells in CIN were more often ProExC-positive compared with normal conjunctiva or metaplasia (p = 0.06 and p = 0.07). Cox proportional-hazards analysis was performed for characterization of factors influencing the combined endpoint and showed a significant elevated hazard ratio for staining with ProExC (p = 0.04) compared with HIF-1α (p = 0.26) and HIF-2α (p = 0.49).

Conclusion
Our study shows that HIF-1α and HIF-2α do not serve as diagnostic or prognostic markers in CIN. ProExC seems to be a potential indicator for CIN, but not a reliable diagnostic marker. However, control specimens occasionally also display a high percentage of ProExC-positive cells and staining over the entire epithelial layer.
Das „framing“ der sechsmonatigen Karenzregel in der Lebertransplantation. Ein Beispiel für sprachlich vermittelte Deutungsmuster zur Eingrenzung des Indikationsgebietes
Authors: Primc Nadia 
Published: May 2020

ZusammenfassungDie deutschen Richtlinien zur Lebertransplantation sehen vor, dass Patient*innen mit alkoholbedingten Lebererkrankungen in der Regel eine sechsmonatige Karenz nachweisen müssen, bevor sie auf die Warteliste für eine Lebertransplantation aufgenommen werden können. Die international weit verbreitete Karenzregel wurde von Beginn an sehr kritisch diskutiert, da hiermit Patient*innen eine wirksame und potentiell lebensrettende Therapie zumindest vorübergehend vorenthalten wird. Sie kommt in der Praxis einer (vorübergehenden) Eingrenzung der Indikation zur Lebertransplantation gleich. Aus der medizinischen Fachliteratur lassen sich vier Interpretationsrahmen rekonstruieren, die mittels Herausstellung bestimmter Aspekte eine jeweils unterschiedliche Wahrnehmung und Konzeptualisierung der sechsmonatigen Karenzregel begründen. Diese sprachlich vermittelten Deutungsmuster werden von Akteur*innen zur Eingrenzung der Indikation zur Lebertransplantation genutzt. Innerhalb dieser Interpretationsrahmen wird die sechsmonatige Karenzzeit jeweils 1) als diagnostisches Werkzeug zur Bestimmung der Regenerationsfähigkeit der Leber, 2) als prognostisches Werkzeug zur Bestimmung der Erfolgsaussichten einer Transplantation, bzw. 3) zur Bestimmung des Trinkverhaltens nach Transplantation dargestellt. In einem weiteren Rahmen wird die Karenzregel 4) als Ausdruck einer Verpflichtung zur Vermeidung von gesundheitsschädlichem Verhalten interpretiert. Aus diesen vier Interpretationsrahmen ergeben sich unterschiedliche ethische Fragestellungen, die eine systematische ethische Beurteilung der Karenzregel ermöglichen. In den ersten drei Interpretationsrahmen wird wiederum selbst die Frage nach der medizinischen Indiziertheit der Karenzregel aufgeworfen.
Model-based long-term pricing in maritime container shipping
Authors: Schönberger Jörn 
Published: May 2020

AbstractThis article reports the development and the assessment of a freight rate optimization approach based on mathematical modeling and optimization. It exploits the functional interdependency between the price of a (service) product and the quantity of the product using this price. Solving the proposed model enables a differentiated and shipper-specific rate determination accompanied by the allocation of the transport capacity provided by the carrier to different shippers. This bilateral pricing between carrier and shippers considers market-based reference rates typically available in the maritime container shipping industry. Herewith, we integrate market-based pricing with demand-based pricing. We validate the proposed model in computational experiments for an artificial pricing scenario. An analysis of the achieved results demonstrates that missing overcapacities will lead to reduced revenues if spot market prices are too low.