bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pulmonale Manifestationen bei Long-COVID
Authors: Sommer Natascha , Schmeck Bernd 
Published: July 2022

Zusammenfassung
Hintergrund
Pulmonale Manifestationen sind sehr häufige Folgeerscheinungen nach einer Severe-acute-respiratory-syndrome-coronavirus-type-2(SARS-CoV-2)-Infektion, die unter dem Begriff Long-COVID-Syndrom (COVID „coronavirus disease“) zusammengefasst werden.

Ziel und Methoden
Zusammenfassung der aktuellen Literatur zu den pulmonalen Manifestationen mit einem Fokus auf Expertenempfehlungen.

Ergebnisse
Dyspnoe ist nach der chronischen Fatigue das häufigste Symptom bei Patienten mit Long-COVID-Syndrom. Auffällige Befunde finden sich vor allem nach schwerem akutem COVID-19-Verlauf und beinhalten radiologische Veränderungen im Sinne interstitieller Lungenerkrankungen, restriktive lungenfunktionelle Befunde und Einschränkungen der Diffusionskapazität als häufigsten pathologischen Befund. Obwohl sich sowohl Beschwerden als auch pathologische pulmonale Befunde im Verlauf bessern, können einige Patienten noch Monate nach der akuten Infektion unter Auffälligkeiten leiden. Dabei ist die Relevanz der pathologischen Befunde sowie eine Beteiligung funktioneller respiratorischer Einschränkungen, einer kardiopulmonalen Dekonditionierung, nichtsomatischer Ursachen und vorbestehender Erkrankungen aktuell unklar. Die diagnostische Abklärung fokussiert entsprechend auf Risikopatienten und schließt neben einer bildgebenden und lungenfunktionellen Abklärung eine Belastungsuntersuchung und bei unklaren Befunden eine Echokardiographie zur Diagnose einer pulmonalvaskulären Komponente ein. Die therapeutischen Möglichkeiten beinhalten aktuell die leitliniengerechte Therapie von Ursachen der Beschwerden (beispielsweise interstitielle Lungenerkrankungen, Husten) und Rehabilitationsmaßnahmen.

Schlussfolgerung
Das aktuelle Wissen zum Krankheitsbild wird ständig erweitert, allerdings existieren aufgrund mangelnder Studienlage noch keine evidenzbasierten Leitlinien zur Diagnostik und Therapie pulmonaler Manifestationen beim Long-COVID-Syndrom.
Renovascular involvement of systemic vascular disease: a pictorial review
Authors: Qaseem Yousuf , Cassidy Fiona , Aganovic Lejla , Purysko Andrei , Mirza Sara , Vahdat Noushin 
Published: July 2022

Abstract
Like many solid organs, the kidneys are susceptible to a wide variety of systemic vascular diseases. Comprising a significant subset of these diseases are the vasculitides, broadly encompassing numerous inflammatory conditions of the blood vessels. However, many of these conditions are non-vasculitic and non-inflammatory, and differentiation of these entities is crucial to guide the initiation of proper therapy. These non-vasculitic diseases include coagulopathic conditions leading to vascular complications, hemolysis, and hematogenous processes that can affect multiple organ systems. These systemic diseases can result in both macrovascular and microvascular pathology, involving the arteries, veins, and smaller vessels, and management of these conditions can differ significantly depending upon the underlying pathophysiology. Because the clinical manifestations of these disease processes can be heterogeneous, ranging from renal dysfunction to life-threatening hemorrhage, proper recognition of these entities is essential to help guide clinicians to the correct diagnosis and prevent potentially disastrous complications. Many of these systemic vascular processes can be detected by non-invasive imaging, including computed tomography (CT) and magnetic resonance imaging (MRI), and identification of their characteristic renal manifestations by radiologists is a critical component of patient care. This review covers a variety of these diseases and their imaging manifestations, to aid in their recognition and better equip radiologists to provide vital diagnostic information that can optimize patient care.

Graphical abstract
Incidence of surgically treated post-traumatic hydrocephalus 6 months following head injury in patients undergoing acute head computed tomography
Authors: Heinonen Aaro , Rauhala Minna , Isokuortti Harri , Kataja Anneli , Nikula Milaja , Öhman Juha , Iverson Grant L. , Luoto Teemu 
Published: July 2022

Abstract

Background
Post-traumatic hydrocephalus (PTH) is a well-known complication of head injury. The percentage of patients experiencing PTH in trauma cohorts (0.7–51.4%) varies greatly in the prior literature depending on the study population and applied diagnostic criteria. The objective was to determine the incidence of surgically treated PTH in a consecutive series of patients undergoing acute head computed tomography (CT) following injury.

Methods
All patients (N = 2908) with head injuries who underwent head CT and were treated at the Tampere University Hospital’s Emergency Department (August 2010–July 2012) were retrospectively evaluated from patient medical records. This study focused on adults (18 years or older) who were residents of the Pirkanmaa region at the time of injury and were clinically evaluated and scanned with head CT at the Tampere University Hospital’s emergency department within 48 h after injury (n = 1941). A thorough review of records for neurological signs and symptoms of hydrocephalus was conducted for all patients having a radiological suspicion of hydrocephalus. The diagnosis of PTH was based on clinical and radiological signs of the condition within 6 months following injury. The main outcome was surgical treatment for PTH. Clinical evidence of shunt responsiveness was required to confirm the diagnosis of PTH.

Results
The incidence of surgically treated PTH was 0.15% (n = 3). Incidence was 0.08% among patients with mild traumatic brain injury (TBI) and 1.1% among those with moderate to severe TBI. All the patients who developed PTH underwent neurosurgery during the initial hospitalization due to the head injury. The incidence of PTH among patients who underwent neurosurgery for acute traumatic intracranial lesions was 2.7%.

Conclusion
The overall incidence of surgically treated PTH was extremely low (0.15%) in our cohort. Analyses of risk factors and the evaluation of temporal profiles could not be undertaken due to the extremely small number of cases.
Isometries Between Given Surfaces and the Isometric Deformation of a Single Unstretchable Material Surface
Authors: Chen Yi-chao , Fosdick Roger , Fried Eliot 
Published: July 2022

AbstractThe difference between the differential geometric concept of an isometry between two given surfaces as purely mathematical objects and the kinematical concept of an isometric deformation of a single unstretchable material surface as a physical object is discussed. We clarify some misunderstandings that have been promoted in recent works concerning the mechanics of unstretchable material surfaces and we discuss this issue within the context of two specific examples. A revealing distinction between isometries and isometric deformations in two space dimensions is reviewed, and the use of rectifying developable surfaces to characterize the isometric deformation of rectangular material strips is analyzed.
Influence of Particle Velocities on Adhesion Strength of Cold Spray Inner Diameter Coatings
Authors: Meeß Joachim , Anasenzl Manuel , Ossenbrink Ralf , Michailov Vesselin 
Published: July 2022

AbstractDue to the recent developments of hardware components and the hereby resulting ability to increase process parameters, the application area of the cold gas spray technology is expanding quickly. The present research focuses on the influence of working gas pressure and working gas temperature on the adhesive strength of inner diameter coatings, which were produced with two different alloy steel powder variants. Gas pressure and gas temperature were varied in four different parameter sets. At first, the powder variants were examined for morphology and particle size distribution. Secondly, the influence of four different process parameters on the achievable particle velocity was measured. In addition, the arithmetical mean height (Sa) of the coating was measured in order to determine the effect of the four parameter sets on the achievable surface roughness. Furthermore, the impact of the process parameters on the steel particles’ penetration depth into the aluminum substrate was examined. Finally, adhesion strength measurements of the inner diameter coatings were carried out. The results reveal that with rising process parameters, the particle velocity increases, and the achievable surface roughness is lowered. It was also shown that the penetration depth of the particles into the substrate increases with increasing particle velocity. In addition, this study demonstrated a dependence of the process parameters on the adhesion strength for inner diameter coatings.
An Investigation to Identify Optimal Setup for Automated Assessment of Dysarthric Intelligibility using Deep Learning Technologies
Authors: Hall Kyle , Huang Andy , Shahamiri Seyed Reza 
Published: July 2022

AbstractRecent advances in deep learning have provided an opportunity to improve and automate dysarthria intelligibility assessment, offering a cost-effective, accessible, and less subjective way to assess dysarthric speakers. However, reviewing previous literature in the area determines that the generalization of results on new dysarthric patients was not measured properly or incomplete among the previous studies that yielded very high accuracies due to the gaps in the adopted evaluation methodologies. This is of particular importance as any practical and clinical application of intelligibility assessment approaches must reliably generalize on new patients; otherwise, the clinicians cannot accept the assessment results provided by the system deploying the approach. In this paper, after these gaps are explained, we report on our extensive investigation to propose a deep learning–based dysarthric intelligibility assessment optimal setup. Then, we explain different evaluation strategies that were applied to thoroughly verify how the optimal setup performs with new speakers and across different classes of speech intelligibility. Finally, a comparative study was conducted, benchmarking the performance of our proposed optimal setup against the state of the art by adopting similar strategies previous studies employed. Results indicate an average of 78.2% classification accuracy for unforeseen low intelligibility speakers, 40.6% for moderate intelligibility speakers, and 40.4% for high intelligibility speakers. Furthermore, we noticed a high variance of classification accuracies among individual speakers. Finally, our proposed optimal setup delivered an average of 97.19% classification accuracy when adopting a similar evaluation strategy used by the previous studies.
Deciphering the role of miR-187-3p/LRFN1 axis in modulating progression, aerobic glycolysis and immune microenvironment of clear cell renal cell carcinoma
Authors: Xu Wenhao , Liu Wangrui , Anwaier Aihetaimujiang , Tian Xi , Su Jiaqi , Shi Guohai , Wei Shiyin , Qu Yuanyuan , Zhang Hailiang , Ye Dingwei 
Published: July 2022

AbstractClear cell renal cell carcinoma (ccRCC) is one of the most common malignant genitourinary cancers with high recurrence risk worldwide. Recently, multi-omics data facilitate obtaining a molecular landscape of tumor development, and were implemented to affect pathogenesis, phenotype, and prognosis of ccRCC. In this study, after screening for differential expressed microRNAs based on multiply datasets, we tested expression levels and prognostic value of miR-187-3p in ccRCC samples, and transfected miR-187-3p mimics or negative controls into ccRCC cells. Up-regulation of miR-187-3p restrains proliferation, migration and promotes apoptosis ability in human ccRCC A498 and 786O cells. In addition, Luciferase reporter assay revealed that miR-187-3p directly targets LRFN1-3’-UTR and negatively modulates LRFN1 expression. LRFN1 rescues proliferation and invasion capacities after miR-187-3p mimic transfection in vitro and in subcutaneous xenograft models. We further performed deep-sequencing technology and bioinformatics analyses to evaluate the biological functions and potential clinical implications of LRFN1 expression in ccRCC. Interestingly, LRFN1 could serve as an independent and potential biomarker for prognosis in over 1000 patients with ccRCC from multiply independent cohorts. Besides, the up-regulated LRFN1 expression prominently promoted intra-tumoral heterogeneity and immune-infiltrating microenvironment, represented by elevated M2 macrophage infiltration, CD8+ T cells activity and PD-L1 expression. In conclusion, this study revealed the tumor-specific and immunological role of miR-187-3p/LRFN1 axis in the progression and reshaping of tumor immune microenvironment of ccRCC.
Tacking by conjunction, genuine confirmation and convergence to certainty
Authors: Schurz Gerhard 
Published: July 2022

AbstractTacking by conjunction is a well-known problem for Bayesian confirmation theory. In the first section, disadvantages of existing Bayesian solution proposals to this problem are pointed out and an alternative solution proposal is presented: that of genuine confirmation (GC). In the second section, the notion of GC is briefly recapitulated and three versions of GC are distinguished: full (qualitative) GC, partial (qualitative) GC and quantitative GC. In the third section, the application of partial GC to pure post-facto speculations is explained. In the fourth section it is demonstrated that full GC is a necessary condition for Bayesian convergence to certainty based on the accumulation of conditionally independent pieces of evidence. It is found that whenever a hypothesis is equivalent to a disjunction of more fine-grained hypotheses conveying different probabilities to the evidence, then conditional independence of the evidence fails. This failure occurs typically for unspecific negations of hypotheses. A refined version of the convergence to certainty theorem that overcomes this difficulty is developed in the final section.
Standardization of an in vitro assay matrix to assess cytotoxicity of organic nanocarriers: a pilot interlaboratory comparison
Authors: Eder Kai Moritz , Marzi Anne , Wågbø Ane Marit , Vermeulen Jolanda P. , de la Fonteyne-Blankestijn Liset J. J. , Rösslein Matthias , Ossig Rainer , Klinkenberg Geir , Vandebriel Rob J. , Schnekenburger Jürgen 
Published: July 2022

AbstractNanotechnologies such as nanoparticles are established components of new medical devices and pharmaceuticals. The use and distribution of these materials increases the requirement for standardized evaluation of possible adverse effects, starting with a general cytotoxicity screening. The Horizon 2020 project “Regulatory Science Framework for Nano(bio)material-based Medical Products and Devices (REFINE)” identified in vitro cytotoxicity quantification as a central task and first step for risk assessment and development for medical nanocarriers. We have performed an interlaboratory comparison on a cell-assay matrix including a kinetic lactate dehydrogenase (LDH) release cell death and WST-8 cell viability assay adapted for testing organic nanocarriers in four well-characterized cell lines of different organ origins. Identical experiments were performed by three laboratories, namely the Biomedical Technology Center (BMTZ) of the University of Münster, SINTEF Materials and Chemistry (SINTEF), and the National Institute for Public Health and the Environment (RIVM) of the Netherlands according to new standard operating procedures (SOPs). The experiments confirmed that LipImage™ 815 lipidots® are non-cytotoxic up to a concentration of 128 µg/mL and poly(alkyl cyanoacrylate) (PACA) nanoparticles for drug delivery of cytostatic agents caused dose-dependent cytotoxic effects on the cell lines starting from 8 µg/mL. PACA nanoparticles loaded with the active pharmaceutical ingredient (API) cabazitaxel showed a less pronounced dose-dependent effect with the lowest concentration of 2 µg/mL causing cytotoxic effects. The mean within laboratory standard deviation was 4.9% for the WST-8 cell viability assay and 4.0% for the LDH release cell death assay, while the between laboratory standard deviation was 7.3% and 7.8% for the two assays, respectively. Here, we demonstrated the suitability and reproducibility of a cytotoxicity matrix consisting of two endpoints performed with four cell lines across three partner laboratories. The experimental procedures described here can facilitate a robust cytotoxicity screening for the development of organic nanomaterials used in medicine.
Graphical abstract
The Ethics of AI Ethics. A Constructive Critique
Authors: Heilinger Jan-Christoph 
Published: July 2022

AbstractThe paper presents an ethical analysis and constructive critique of the current practice of AI ethics. It identifies conceptual substantive and procedural challenges and it outlines strategies to address them. The strategies include countering the hype and understanding AI as ubiquitous infrastructure including neglected issues of ethics and justice such as structural background injustices into the scope of AI ethics and making the procedures and fora of AI ethics more inclusive and better informed with regard to philosophical ethics. These measures integrate the perspective of AI justice into AI ethics, strengthening its capacity to provide comprehensive normative orientation and guidance for the development and use of AI that actually improves human lives and living together.
Growing research groves to visualize young students’ learning in small groups
Authors: Knox Joanne , Kontorovich Igor’ 
Published: July 2022

AbstractThis paper stems from calls for methodological advancement in two areas of research: primary mathematics education and dialogical education. We respond to these calls from the commognitive standpoint by introducing the Grove of Realizations as a tool for capturing and visualizing individual students’ learning through collaborative work in small groups. We focus on a group of four students from a New Zealand Year 4 class (aged 8 and 9 years old), as they classified odd and even numbers and reasoned about their sums. This data is used to present the analytical affordances of the tool for (i) visualizing gaps in communication between group members, (ii) mapping their discursive development, and (iii) showing whether and how gaps are bridged within a group. The paper concludes with the discussion of the tool’s affordances and directions for further development.
Pharmaceutical and nutraceutical potential of natural bioactive pigment: astaxanthin
Authors: Patil Apurva D. , Kasabe Pramod J. , Dandge Padma B. 
Published: July 2022

AbstractAstaxanthin (3,3′-dihydroxy-β,β-carotene-4,4′-dione) is an orange-red, lipophilic keto-carotenoid pigment. It is majorly found in marine ecosystems particularly in aquatic animals such as salmon, shrimp, trout, krill, crayfish, and so on. It is also synthesized in microalgae Heamatococcus pluvialis, Chlorococcum, Chlorella zofingiensis, red yeast Phaffia rhodozyma and bacterium Paracoccus carotinifaciens. Some aquatic and terrestrial creatures regarded as a primary and secondary sources of the astaxanthin producing and accumulating it through their metabolic pathways. Astaxanthin is the powerful antioxidant, nutritional supplement as well as promising therapeutic compound, observed to have activities against different ravaging diseases and disorders. Researchers have reported remarkable bioactivities of astaxanthin against major non-communicable chronic diseases such as cardiovascular diseases, cancer, diabetes, neurodegenerative, and immune disorders. The current review discusses some structural aspects of astaxanthin. It further elaborates its multiple potencies such as antioxidant, anti-inflammatory, anti-proliferative, anti-cancer, anti-obese, anti-diabetic, anti-ageing, anti-TB, anti-viral, anti-COVID 19, neuro-protective, nephro-protective, and fertility-enhancing properties. These potencies make it a more precious entity in the preventions as well as treatments of prevalent systematic diseases and/or disorders. Also, the review is acknowledging and documenting its powerful bioactivities in relation with the pharmaceutical as well as nutraceutical applicability.Graphical Abstract
Fissure sealing and caries development in Norwegian children
Authors: Sæthre-Sundli H. B. , Løken S. Y. , Wang N. J. , Wigen T. I. 
Published: July 2022

Abstract
Purpose
To explore the use of fissure sealing as a caries preventive method by describing characteristics of children who had received sealants and to study associations between sealing and caries prevalence at 12 years of age.

Methods
The study included 3075 children examined at 5 and 12 years of age. Data were collected by clinical examination and questionnaire to parents. The questionnaire provided information on child characteristics and oral health behaviour in children at 5 years of age. Data on sealing and caries prevalence were obtained from dental records. Bi- and multivariate logistic regressions were performed. The Regional Committee for Medical Research Ethics approved the study (2.200.54 and 2013/1881).

Results
Of the children, 12% had received sealants on permanent teeth before 12 years of age. Children with dentin caries at 5 years of age (OR 2.0, CI 1.5–2.7) had a higher probability of having received sealants than children without caries. Having sealants (OR 2.8, CI 2.2–3.6), enamel caries (OR 1.5, CI 1.2–1.9), dentin caries (OR 2.9, CI 2.3–3.6) and using fluoride lozenges less than daily (OR 1.5, CI 1.3–1.8) at 5 years of age were associated with having dentin caries prevalence at 12 years of age.

Conclusion
Few children had received fissure sealing. Although sealing was used as a caries preventive method in children who had experienced caries in primary teeth, these children continued developing caries in their permanent teeth.
A review of numerical modelling and optimisation of the floating support structure for offshore wind turbines
Authors: Faraggiana Emilio , Giorgi Giuseppe , Sirigu Massimo , Ghigo Alberto , Bracco Giovanni , Mattiazzo Giuliana 
Published: July 2022

AbstractCompared to onshore wind power, floating offshore wind power is a promising renewable energy source due to higher wind speeds and larger suitable available areas. However, costs are still too high compared to onshore wind power. In general, the economic viability of offshore wind technology decreases with greater water depth and distance from shore. Floating wind platforms are more competitive compared to fixed offshore structures above a certain water depth, but there is still great variety and no clear design convergence. Therefore, optimisation of the floating support structure in the preliminary phase of the design process is still of great importance, often up to personal experience and sensibility. It is fundamental that a suitable optimisation approach is chosen to obtain meaningful results at early development stages. This review provides a comparative overview of the methods, numerical tools and optimisation approaches that can be used with respect to the conceptual design of the support structure for Floating offshore wind turbines (FOWT) attempting to detail the limitations preventing the convergence to an optimal floating support structure. This work is intended to be as a reference for any researcher and developer that would like to optimise the support platform for FOWT.