bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamical Properties of Weather Regime Transitions
Authors: Platzer Paul , Chapron Bertrand , Tandeo Pierre 
Published: December 2022

AbstractLarge-scale weather can often be successfully described using a small amount of patterns. A statistical description of reanalysed pressure fields identifies these recurring patterns with clusters in state-space, also called “regimes”. Recently, these weather regimes have been described through instantaneous, local indicators of dimension and persistence, borrowed from dynamical systems theory and extreme value theory. Using similar indicators and going further, we focus here on weather regime transitions. We use 60 years of winter-time sea-level pressure reanalysis data centered on the North-Atlantic ocean and western Europe. These experiments reveal regime-dependent behaviours of dimension and persistence near transitions, although in average one observes an increase of dimension and a decrease of persistence near transitions. The effect of transition on persistence is stronger and lasts longer than on dimension. These findings confirm the relevance of such dynamical indicators for the study of large-scale weather regimes, and reveal their potential to be used for both the understanding and detection of weather regime transitions.
Primitive Equations Under Location Uncertainty: Analytical Description and Model Development
Authors: Tucciarone Francesco L. , Mémin Etienne , Li Long 
Published: December 2022

AbstractResolving numerically all the scale interactions of ocean dynamics in a high resolution realistic configuration is today far beyond reach, and only large scale representations can be afforded. In this work, we study a stochastic parameterization of the ocean primitive equations derived within the modelling under location uncertainty framework. First numerical assessments built with the NEMO core’s code are provided for a double-gyres configuration.
Modeling Under Location Uncertainty: A Convergent Large-Scale Representation of the Navier-Stokes Equations
Authors: Debussche Arnaud , Hug Berenger , Mémin Etienne 
Published: December 2022

AbstractWe construct martingale solutions for the stochastic Navier-Stokes equations in the framework of the modelling under location uncertainty (LU). These solutions are pathwise and unique when the spatial dimension is 2D. We then prove that if the noise intensity goes to zero, these solutions converge, up to a subsequence in dimension 3, to a solution of the deterministic Navier-Stokes equation. This warrants that the LU Navier-Stokes equations can be interpreted as a large-scale model of the deterministic Navier-Stokes equation.
Blickdatenanalyse bei der Interpretation linearer Graphen im mathematischen und physikalischen Kontext
Authors: Becker Sebastian , Knippertz Lynn , Kuhn Jochen , Kuntz Lena , Ruzika Stefan 
Published: December 2022

ZusammenfassungEyetracking bezeichnet die Erfassung und Analyse von Blickdaten und ermöglicht einen Einblick in die kognitiven Prozesse beim Lernen und damit die Identifikation von Lernhürden. Durch die Identifikation von Lernhürden eröffnet diese Methodik eine neuartige Möglichkeit zur Analyse und Verbesserung von Lernprozessen. In diesem Beitrag werden erste Ergebnisse einer Eyetracking-Studie zur Interpretation von linearen Funktionen vorgestellt, welche wesentlicher Bestandteil der schulischen, aber auch universitären MINT-Ausbildung sind. Ein kompetenter Umgang mit diesem Funktionstyp in unterschiedlichen Repräsentationsformen ist daher essenziell. Schülerinnen und Schüler haben jedoch häufig Schwierigkeiten mit der Interpretation linearer Funktionen, insbesondere in unterschiedlichen disziplinären Kontexten. Die hier beschriebene Studie basiert auf einem validierten Testinstrument von Ceuppens et al. (2019) und wurde mit N = 131 Schülerinnen und Schülern der gymnasialen Oberstufe durchgeführt. Das Testinstrument besteht aus Paaren von Mathematik- und Kinematik-Items, welche zueinander ähnlich sind und sich nur im Kontext der Aufgabenstellung und in den disziplinüblichen Bezeichnungen unterscheiden. Insbesondere ist zur Lösung das gleiche mathematische Verfahren (Bestimmung von Steigung und y-Achsenabschnitt) erforderlich. Die Grundvoraussetzung für die Lösung dieser Items stellen mathematische Fähigkeiten dar, beispielsweise die Bestimmung von Steigung und Ordinatenabschnitt. Die Analyse der Eyetracking-Daten eröffnet hierbei Einsichten in kognitive Prozesse bei der Anwendung mathematischer Prozeduren zur Lösung von Items im mathematischen und physikalischen Kontext.
Die Zukunft des MINT-Unterrichts aus der Perspektive der Schulpraxis
Authors: Ghomi Mina , Sorge Stefan , Mühling Andreas 
Published: December 2022

ZusammenfassungAngesichts der rasanten technologischen Entwicklungen der letzten Jahre können wir heute nur erahnen, wie sich unsere Lebenswelt und damit auch der Unterricht entwickeln. Sicher ist jedoch, dass digitale Technologien die Zukunft des Unterrichts mitbestimmen. Ein von Politik und Wissenschaft initiiertes Modell zur Beschreibung der notwendigen Kompetenzen stellt der Europäische Referenzrahmen für die digitale Kompetenz von Lehrenden (DigCompEdu) dar. Ziel des Beitrags ist es, die Vorstellung von Akteuren der Schulpraxis über den Unterricht der Zukunft mit diesem Modell abzugleichen. In drei Online-Workshops wurden daher von insgesamt 26 Lehrkräften, 18 Lehramtsstudierenden und 9 Bildungsadministratorinnen und -administratoren in Kleingruppen Szenarien für eine wünschenswerte Zukunft des Unterrichts im Jahr 2030 entwickelt und anschließend inhaltsanalytisch ausgewertet. Unsere Ergebnisse zeigen, dass Lehrkräfte insbesondere Innovationen im Bereich der Organisation von Schule und der Gestaltung des Unterrichts identifizieren. Die so identifizierten Themen lassen sich drei der insgesamt sechs DigCompEdu-Kompetenzbereiche zuordnen. Eine Konkretisierung des Einsatzes digitaler Technologien im Unterricht hingegen findet sich in den Vorstellungen nicht. Es ist daher notwendig, für die Zukunft verstärkt den konkreten Transfer von der Entwicklung in die Unterrichtspraxis zu betrachten, damit ein Einsatz digitaler Technologien unterstützt wird.
Entwicklung von Lernumgebungen zum Computational Thinking im Mathematikunterricht und ihr Einsatz in Lehrkräftefortbildungen
Authors: Beyer Steven , Dreher Ulrike , Grave-Gierlinger Frederik , Eilerts Katja , Schuler Stephanie 
Published: December 2022

ZusammenfassungIm folgenden Beitrag werden zwei Projekte vorgestellt, die sich mit der Entwicklung und dem Einsatz von geometriebezogenen Lernumgebungen zur Förderung des fachunabhängigen Konzepts des Computational Thinking auf der Unterrichts- sowie der Fortbildungsebene im Fach Mathematik befassen. Auf Ebene des Unterrichts wird das Förderpotenzial einer Lernumgebung mit einem Lernroboter untersucht. Auf Ebene der Fortbildung wird das Design theoriebasiert hergeleitet und es werden Ergebnisse ausgewählter Begleitforschung zu Möglichkeiten und Grenzen vorgestellt. Damit werden exemplarisch zwei Handlungsfelder der Implementierung eines im Zuge der Digitalisierung zentralen Konstrukts, dem Computational Thinking, in der Grundschule fachbezogen in den Blick genommen.
Fähigkeit zur Beurteilung dynamischer Arbeitsblätter – Wie lässt sie sich fördern?
Authors: Engelhardt Alex , Digel Susanne , Roth Jürgen 
Published: December 2022

ZusammenfassungDas Potenzial eines adäquaten digitalen Medieneinsatzes ist vielfach bestätigt. Im Kontrast dazu stehen Ergebnisse, dass digitale Medien im alltäglichen Schulunterricht, insbesondere für die Schülerhand, kaum genutzt werden. Eine mögliche Ursache liegt in dem mangelnden Wissen seitens der Lehrkräfte, um digitale Technologien zielgerichtet im Unterricht zu nutzen. Im folgenden Beitrag wird die Entwicklung eines Lehr-Lern-Labor-Seminars vorgestellt, in dem Studierenden die Fähigkeit zur Beurteilung interaktiver Arbeitsblätter als Beitrag zu den digitalen Kompetenzen angehender Lehrkräfte vermittelt werden soll. Anhand eines Fallbeispiels eines Studierenden werden Veränderungen in der Fähigkeit im Laufe des Seminars aufgezeigt.
Origin of the elements
Authors: Arcones Almudena , Thielemann Friedrich-Karl 
Published: December 2022

AbstractWhat is the origin of the oxygen we breathe, the hydrogen and oxygen (in form of water H2O) in rivers and oceans, the carbon in all organic compounds, the silicon in electronic hardware, the calcium in our bones, the iron in steel, silver and gold in jewels, the rare earths utilized, e.g. in magnets or lasers, lead or lithium in batteries, and also of naturally occurring uranium and plutonium? The answer lies in the skies. Astrophysical environments from the Big Bang to stars and stellar explosions are the cauldrons where all these elements are made. The papers by Burbidge (Rev Mod Phys 29:547–650, 1957) and Cameron (Publ Astron Soc Pac 69:201, 1957), as well as precursors by Bethe, von Weizsäcker, Hoyle, Gamow, and Suess and Urey provided a very basic understanding of the nucleosynthesis processes responsible for their production, combined with nuclear physics input and required environment conditions such as temperature, density and the overall neutron/proton ratio in seed material. Since then a steady stream of nuclear experiments and nuclear structure theory, astrophysical models of the early universe as well as stars and stellar explosions in single and binary stellar systems has led to a deeper understanding. This involved improvements in stellar models, the composition of stellar wind ejecta, the mechanism of core-collapse supernovae as final fate of massive stars, and the transition (as a function of initial stellar mass) from core-collapse supernovae to hypernovae and long duration gamma-ray bursts (accompanied by the formation of a black hole) in case of single star progenitors. Binary stellar systems give rise to nova explosions, X-ray bursts, type Ia supernovae, neutron star, and neutron star–black hole mergers. All of these events (possibly with the exception of X-ray bursts) eject material with an abundance composition unique to the specific event and lead over time to the evolution of elemental (and isotopic) abundances in the galactic gas and their imprint on the next generation of stars. In the present review, we want to give a modern overview of the nucleosynthesis processes involved, their astrophysical sites, and their impact on the evolution of galaxies.
The zonoid region parameter depth
Authors: Cascos Ignacio , Pandolfo Giuseppe , Sinova Beatriz 
Published: December 2022

AbstractA new concept of depth for central regions is introduced. The proposed depth notion assesses how well an interval fits a given univariate distribution as its zonoid region of level 1/2, and it is extended to the multivariate setting by means of a projection argument. Since central regions capture information about location, scatter, and dependency among several variables, the new depth evaluated on an empirical zonoid region quantifies the degree of similarity (in terms of the features captured by central regions) of the corresponding sample with respect to some reference distribution. Applications to statistical process control and the joint monitoring of multivariate and interval-valued data in terms of location and scale are presented.
LATE-NC staging in routine neuropathologic diagnosis: an update
Authors: Nelson Peter T. , Lee Edward B. , Cykowski Matthew D. , Alafuzoff Irina , Arfanakis Konstantinos , Attems Johannes , Brayne Carol , Corrada Maria M. , Dugger Brittany N. , Flanagan Margaret E. , Ghetti Bernardino , Grinberg Lea T. , Grossman Murray , Grothe Michel J. , Halliday Glenda M. , Hasegawa Masato , Hokkanen Suvi R. K. , Hunter Sally , Jellinger Kurt , Kawas Claudia H. , Keene C. Dirk , Kouri Naomi , Kovacs Gabor G. , Leverenz James B. , Latimer Caitlin S. , Mackenzie Ian R. , Mao Qinwen , McAleese Kirsty E. , Merrick Richard , Montine Thomas J. , Murray Melissa E. , Myllykangas Liisa , Nag Sukriti , Neltner Janna H. , Newell Kathy L. , Rissman Robert A. , Saito Yuko , Sajjadi S. Ahmad , Schwetye Katherine E. , Teich Andrew F. , Thal Dietmar R. , Tomé Sandra O. , Troncoso Juan C. , Wang Shih-Hsiu J. , White Charles L. , Wisniewski Thomas , Yang Hyun-Sik , Schneider Julie A. , Dickson Dennis W. , Neumann Manuela 
Published: December 2022

AbstractAn international consensus report in 2019 recommended a classification system for limbic-predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC). The suggested neuropathologic staging system and nomenclature have proven useful for autopsy practice and dementia research. However, some issues remain unresolved, such as cases with unusual features that do not fit with current diagnostic categories. The goal of this report is to update the neuropathologic criteria for the diagnosis and staging of LATE-NC, based primarily on published data. We provide practical suggestions about how to integrate available genetic information and comorbid pathologies [e.g., Alzheimer’s disease neuropathologic changes (ADNC) and Lewy body disease]. We also describe recent research findings that have enabled more precise guidance on how to differentiate LATE-NC from other subtypes of TDP-43 pathology [e.g., frontotemporal lobar degeneration (FTLD) and amyotrophic lateral sclerosis (ALS)], and how to render diagnoses in unusual situations in which TDP-43 pathology does not follow the staging scheme proposed in 2019. Specific recommendations are also made on when not to apply this diagnostic term based on current knowledge. Neuroanatomical regions of interest in LATE-NC are described in detail and the implications for TDP-43 immunohistochemical results are specified more precisely. We also highlight questions that remain unresolved and areas needing additional study. In summary, the current work lays out a number of recommendations to improve the precision of LATE-NC staging based on published reports and diagnostic experience.
‘Why are the Sales Forecasts so low?’ Socio-Technical Challenges of Using Machine Learning for Forecasting Sales in a Bakery
Authors: Fries Marco , Ludwig Thomas 
Published: December 2022

AbstractArtificial intelligence and the underlying machine learning (ML) methods are increasingly finding their way into our working world. One of these areas is sales planning, where machine learning is used to leverage a variety of different input parameters such as prices, promotions, or the weather, to forecast sales, and therefore directly affects the production of products and goods. To satisfy the goal of environmental sustainability as well as address short shelf life, the food industry represents an interesting application field for the use of ML for optimizing sales planning. Within this paper, we will examine the design, and especially the application, of ML methods in the food industry and show the current challenges that exist in the use of such concepts and technologies from the end-user’s point of view. Our study of a smaller bakery company shows that there are enormous challenges in setting up the appropriate infrastructure and processes for the implementation of ML, that the output quality of ML processes does not always match the perceived result quality, and that trust in the functioning of the algorithms is the most important criterion for using ML processes in practice.
Perceptual Grouping in Autism Spectrum Disorder: An Exploratory Magnetoencephalography Study
Authors: Falter-Wagner Christine M. , Kiefer Christian M. , Bailey Anthony J. , Vogeley Kai , Dammers Jürgen 
Published: December 2022

AbstractVisual information is organised according to visual grouping principles. In visual grouping tasks individuals with ASD have shown equivocal performance. We explored neural correlates of Gestalt grouping in individuals with and without ASD. Neuromagnetic activity of individuals with (15) and without (18) ASD was compared during a visual grouping task testing grouping by proximity versus similarity. Individuals without ASD showed stronger evoked responses with earlier peaks in response to both grouping types indicating an earlier neuronal differentiation between grouping principles in individuals without ASD. In contrast, individuals with ASD showed particularly prolonged processing of grouping by similarity suggesting a high demand of neural resources. The neuronal processing differences found could explain less efficient grouping performance observed behaviourally in ASD.
FASCIA Method in the Assessment of Lymphocyte Mitogen Responses in the Laboratory Diagnostics of Primary Immunodeficiencies
Authors: Lusila Pauliina , Toivonen Anne , Jarva Hanna , Vettenranta Kim , Lehtimäki Sari , Kekäläinen Eliisa 
Published: December 2022

Abstract
Lymphocyte responses to mitogens constitute a key part of the diagnostics of combined immunodeficiency (CID). Currently, mostly radioactive thymidine incorporation and carboxyfluorescein diacetate succinimidyl ester (CFSE) dilution methods are used. Flow-cytometric assay for specific cell-mediated immune-response in activated whole blood (FASCIA) has been put forth as an easy-to-perform option for the measurement of lymphocyte responses with the advantage of recognizing different lymphocyte subtypes and avoiding the use of radioactive reagents. Our aim was to analyze retrospectively the usefulness of FASCIA in the diagnostics of CID. We included all lymphocyte stimulation tests done with FASCIA in HUSLAB (Helsinki, Finland) between February 2015 and September 2018 in our analysis. The cohort was divided into two groups according to the patients’ final diagnoses: CID (n = 30) or non-CID (n = 159). We evaluated the stimulation responses with a combined FASCIA score (the average of all mitogen responses). The FASCIA score was significantly lower among the CID group compared to the other patients (p = 0.002), and in the ROC analysis, the AUC was 0.75 (p < 0.001) for the FASCIA score. When the three mitogens were analyzed separately, phytohemagglutinin (PHA) was best in separating patients with CID from non-CID (in the ROC analysis AUC 0.71, p = 0.001). Immunosuppressive medication affected the FASCIA result significantly and needs to be considered when evaluating the results. In conclusion, FASCIA can reliably detect the CID patients in the absence of immunosuppressive medication. It emerges as a method with many benefits compared to tests requiring radioactive reagents or the complicated CFSE staining.
Patient preferences and health state utilities associated with the treatment process of antiretroviral therapy for people living with HIV
Authors: Matza Louis S. , Howell Timothy A. , Chounta Vasiliki , van de Velde Nicolas 
Published: December 2022

Abstract
Purpose
People living with HIV (PLHIV) have reported challenges associated with daily oral antiretroviral therapy (ART), including missed doses, negative psychological impact, and difficulty remaining discreet while at home or traveling. Recently approved long-acting injectable (LAI) ART may help eliminate these concerns. The purpose of this study was to examine patient preferences and estimate health state utilities associated with oral and LAI treatment for ART.

Methods
Four health state vignettes were developed based on published literature, clinician interviews, and a pilot study. All vignettes included the same description of HIV, but differed in treatment regimens: (A) single daily oral tablet, (B) two daily oral tablets, (C) injections once monthly, and (D) injections every two months. PLHIV in the UK reported their preferences and valued the health states in time trade-off utility interviews.

Results
The sample included 201 PLHIV (83.1% male; mean age = 44.9y). The health states frequently selected as most preferable were D (n = 119; 59.2%) and A (n = 75; 37.3%). Utility differences among health states were relatively small, which is typical for treatment process utilities (mean utilities: A, 0.908; B, 0.905; C, 0.900; D, 0.910). Statistically significant differences in utility were found for one vs. two tablets and injections every month vs. every two months (p < 0.001). Participants’ quotations highlight the wide range of reasons for treatment process preferences.

Conclusions
Current results indicate that many PLHIV would prefer LAI ART. The reported utilities may be useful in economic modeling comparing oral vs. LAI ART.
Biochanin A inhibits lung adenocarcinoma progression by targeting ZEB1
Authors: Li Jianjun , Kou Yaqi , Zhang Xiaohan , Xiao Xuechun , Ou Yang , Cao Lixia , Guo Min , Qi Chunchun , Wang Zhaoyang , Liu Yuxin , Shuai Qiuying , Wang Hang , Yang Shuang 
Published: December 2022

AbstractLung adenocarcinoma is the major subtype of lung cancer, accounting for approximately 40% of lung cancers. During clinical treatment, the emergence of chemotherapy resistance seriously affects the effectiveness of treatment. Thus, finding new chemotherapeutic sensitizers is considered to be one of the effective solutions. Biochanin A, as a naturally occurring isoflavone, has been demonstrated to exhibit anticancer effects in various tumors. However, the potential mechanisms of Biochanin A to inhibit tumor development have not been clarified. In the present study, we found that the combinational treatment of cisplatin and Biochanin A exhibited strong synergistic repression on lung adenocarcinoma growth and progression in vitro and in vivo. Considering that epithelial–mesenchymal transition (EMT) is recognized to be associated with both chemoresistance and metastasis, we examined the EMT-related markers and found that Biochanin A could specifically inhibit the expression of ZEB1. Importantly, Biochanin A chemosensitizes lung adenocarcinoma and inhibits cancer cell metastasis by suppressing ZEB1. At the molecular level, Biochanin A affects the stability of ZEB1 protein through the deubiquitination pathway and thereby influences the progression of lung adenocarcinoma. In conclusion, our finding elucidates the potential efficacy of Bichanin A as a chemosensitizer and provides new strategy for the chemotherapy of advanced lung adenocarcinoma.
Resurrecting marketing: Focus on the phenomena!
Authors: Nenonen Suvi 
Published: December 2022

AbstractThis commentary provides three complementary perspectives to the Hunt et al. (2022, in this issue) article “The marketing discipline’s troubled trajectory: The manifesto conversation, candidates for central focus, and prognosis for renewal.” First, the evolution of marketing as an academic discipline should be assessed also in relation to other fields. Second, it is time for an honest stocktake of the wider impact of marketing to societies and the biosphere. Third, an enduring and fruitful sense of community for marketing scholars could be found from marketing phenomena instead of the always contested theoretical perspectives.