bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diabetes mellitus im Kindes- und Jugendalter (Update 2023)
Authors: Rami-Merhar Birgit , Fröhlich-Reiterer Elke , Hofer Sabine E. , Fritsch Maria 
Published: April 2023

ZusammenfassungIm Kindes- und Jugendalter ist, im Gegensatz zum Erwachsenenalter, der Diabetes mellitus Typ 1 (T1D) die am häufigsten auftretende Form des Diabetes mellitus (> 90 %). Nach der Diagnosestellung sollte die Betreuung der Kinder und Jugendlichen in einem pädiatrischen Zentrum mit viel Erfahrung in pädiatrischer Diabetologie erfolgen. Eine lebenslange Insulintherapie ist notwendig, wobei diese individuell an das Alter und den Alltag der Familie angepasst werden soll. In diesem Alter wird ausdrücklich die Verwendung von Diabetestechnologie (Sensorglukosemessung, Insulinpumpentherapie und seit kurzem eine Hybrid-Closed-Loop-Therapie) empfohlen. Eine möglichst optimale metabolische Einstellung ab Therapiebeginn verbessert die Langzeitprognose der jungen Menschen mit Diabetes. Ein wesentlicher Teil in der Betreuung ist die Schulung von PatientInnen und Eltern von einem entsprechend ausgebildeten multidisziplinären Team, bestehend aus pädiatrischen DiabetologInnen, DiabetesberaterInnen, DiätologInnen, PsychologInnen und SozialarbeiterInnen. Die APEDÖ (Arbeitsgruppe für pädiatrische Endokrinologie und Diabetologie Österreich) und die ISPAD (International Society for Pediatric and Adolescent Diabetes) empfehlen als metabolisches Ziel für alle pädiatrischen Altersgruppen einen HbA1c-Wert ≤ 7,0 % (IFCC ≤ 53 mmol/mol) mit einer „Time in Range“ (TIR) > 70 % ohne schwere Hypoglykämien. Eine altersentsprechend normale körperliche, kognitive und psychosoziale Entwicklung sowie die Vermeidung von Akutkomplikationen (schwere Hypoglykämien, diabetische Ketoazidose), das Screening auf assoziierte Erkrankungen und die Prävention von diabetesbedingten Spätkomplikationen zum Erhalt einer hohen Lebensqualität sind die Ziele der pädiatrischen Diabetestherapie.
Injektionstherapie (GLP1-Rezeptor Agonisten und Insulin) bei Typ 2 Diabetes mellitus (Update 2023)
Authors: Lechleitner Monika , Roden Michael , Weitgasser Raimund , Ludvik Bernhard , Fasching Peter , Hoppichler Friedrich , Kautzky-Willer Alexandra , Schernthaner Guntram , Prager Rudolf , Kaser Susanne , Wascher T. C. ,   Ausschuss Leitlinien
Published: April 2023

ZusammenfassungDie vorliegende Leitlinie nimmt Bezug auf die Indikation und praktische Umsetzung der Injektionstherapie (GLP1-Rezeptor Agonisten und Insulin) bei Typ 2 Diabetes.
Alcohol use disorder as a risk factor for violent offending and reoffending in delinquent women with substance use disorders
Authors: Mayer Juliane , Streb Judith , Steiner Ivonne , Wolf Viviane , Klein Verena , Dudeck Manuela , Franke Irina 
Published: April 2023

AbstractFemale gender is generally less associated with aggressive behavior and violent offending than male gender. Therefore, most studies on violence and (re-)offending include only men. However, it is crucial to better understand pathways to female offending in order to enable efficient psychological interventions and risk assessment in women. Well-established risk factors for aggressive behavior include alcohol use disorder (AUD) and other substance use disorders (SUDs). We retrospectively analyzed the association of AUD and other SUDs with violent offending and reoffending in a sample of female offenders (N = 334) in a forensic treatment facility. In total, 72% of the patients with an AUD had committed a violent crime leading to admission, whereas only 19% of those with other SUDs had. Over 70% of the participants with AUD had a family history of AUD, and over 83% had experienced physical violence in adulthood. Rates of AUD and other SUDs did not differ regarding aggressive behavior during inpatient treatment, while the risk of reoffending with a violent crime after discharge was nine times higher in patients with an AUD than in those with other SUDs. Our results indicate that AUD is a significant risk factor for violent offending and reoffending in women. A familial background of AUD and a history of physical abuse increase the probability for both AUD and offending, suggesting a possible interaction between (epi-)genetic and environmental factors. The comparable rates of aggression during inpatient treatment in patients with AUD and other SUDs indicate that abstinence is a protective factor for violence.
Das Yin-Yang-Zeichen in der Farbdopplersonographie
Authors: Taskin Billurvan , Haggenmüller Benedikt , Breining Thomas , Kloth Christopher , Kratzer Wolfgang , Beer Meinrad , Vogele Daniel 
Published: April 2023

ZusammenfassungDas Yin-Yang-Zeichen ist in der farbkodierten Dopplersonographie hinweisend für das Vorliegen turbulenter Strömungen und stützt somit die Diagnosestellung eines Pseudoaneurysmas. Im vorliegenden Fall zeigen wir diagnostische und therapeutische Möglichkeiten für diese häufige Komplikation nach arterieller Punktion.
Suggestion of a new standard in measuring the mandible via MRI and an overview of reference values in young women
Authors: Ibald Leonie Carina , Witte Veronica , Klawonn Fank , Conrad Rupert , Mücke Martin , Sellin Julia , Teschke Marcus 
Published: April 2023

Abstract
Purpose
Adult idiopathic condylar
resorption (AICR) mainly affects young women, but generally accepted diagnostic standards are lacking. Patients often need temporomandibular joint (TMJ) surgery, and often jaw anatomy is assessed by CT as well as MRI to observe both bone and soft tissue. This study aims to establish reference values for mandible dimensions in women from MRI only and correlate them to, e.g., laboratory parameters and lifestyle, to explore new putative parameters relevant in AICR. MRI-derived reference values could reduce preoperative effort by allowing physicians to rely on only the MRI without additional CT scan.

Methods
We analyzed MRI data from a previous study (LIFE-Adult-Study, Leipzig, Germany) of 158 female participants aged 15–40 years (as AICR typically affects young women). The MR images were segmented, and standardized measuring of the mandibles was established. We correlated morphological features of the mandible with a large variety of other parameters documented in the LIFE-Adult study.

Results
We established new reference values for mandible morphology in MRI, which are consistent with previous CT-based studies. Our results allow assessment of both mandible and soft tissue without radiation exposure. Correlations with BMI, lifestyle, or laboratory parameters could not be observed. Of note, correlation between SNB angle, a parameter often used for AICR assessment, and condylar volume, was also not observed, opening up the question if these parameters behave differently in AICR patients.

Conclusion
These efforts constitute a first step towards establishing MRI as a viable method for condylar resorption assessment.
Patient-tailored silicone plug for HeartMate 3™ left ventricular assist device explantation
Authors: Elbayomi Mohamed , Tandler Rene , Ebel Nina , Schubert Dirk W. , Werner Siegfried , Kondruweit Markus , Weyand Micheal , Heim Christian 
Published: April 2023

AbstractPatient-tailored silicone plug for HeartMate 3™ left ventricular assist device explantation in two successive males proceeded successfully. Given medical therapeutic advancements, FDA-approved plug systems designed by LVAD manufacturers themselves will be necessary for the near future to provide a safe and simple device explantation alternative that fulfills all regulatory standards.
A new Voronoi diagram-based approach for matching multi-scale road networks
Authors: Wu Jianhua , Zhao Yu , Yu Mengjuan , Zou Xiaoxiang , Xiong Jiaqi , Hu Xiang 
Published: April 2023

AbstractObject matching is a key technology for map conflation, data updating, and data quality assessment. This article proposed a new Voronoi diagram-based approach for matching multi-scale road networks (VAMRN). Using this method, we first created Voronoi diagrams of the road network using the strategy of discretizing road lines into points and adding dense points to special road intersection segments. Then, we used the Voronoi diagram of road segment to find matching candidates. Finally, we obtained matching results by judging the geometric similarity metrics we designed and a heuristic combination optimization strategy. The experimental results demonstrated that the VAMRN outperformed two existing methods in generality and matching quality. The F-measures of VAMRN were 18.4, 29.6, 3.8, and 7.6% higher than the buffer growing method, and 4.5, 2.8, 1.8, and 6.1% higher than the probabilistic relaxation method. And the time performance is improved by more than 90% over the probabilistic relaxation method.
Detection of GNSS antenna oscillatory motion and multipath conditions via exploitation of multipath-induced SNR variations
Authors: Peppa I. , Psimoulis P. A. 
Published: April 2023

AbstractThe multipath effect is well known as one of the dominant error sources in most high-precision GNSS applications, as its site-dependent and fast-changing nature render it challenging to model and mitigate using differencing techniques. However, in this study, we present a novel approach of using the multipath effect of GNSS signal in the case of oscillatory motion of a GNSS antenna to determine the characteristics of the oscillatory motion by utilizing the signal-to-noise (SNR) ratio measurements of the GNSS signals and without applying the positioning solution or the use of other sensors. The proposed method is based on the hypothesis that for a short time period, while the multipath conditions remain constant and the satellites are approximately at the same position, an oscillation-type motion of the antenna should generate changes in multipath, expressed as oscillatory pattern variations in the SNR measurements of the satellites. This approach can be used to identify the multipath parameters and extract characteristics of the oscillatory motion of the GNSS antenna. The SNR-based modeling of cm-level antenna oscillations was demonstrated in simulated and field experiments. The benefits of this method include immunity to poor satellite constellation geometry, adaptability to changing multipath geometry and fast processing time. This approach could potentially, under conditions, contribute to GNSS reflectometry (GNSS-R) applications, where the oscillatory motion of the GNSS antenna generates the same effect as the satellite motion-induced multipath, limiting simultaneously the observation periods and the amount of data to be processed.
Associations between sheep meat intake frequency and blood plasma levels of metabolites and lipoproteins in healthy Uzbek adults
Authors: Kurmaeva Diyora , Ye Yongxin , Bakhytkyzy Inal , Aru Violetta , Dalimova Dilbar , Turdikulova Shahlo , Dragsted Lars Ove , Engelsen Søren Balling , Khakimov Bekzod 
Published: April 2023

Abstract
Introduction
Uzbekistan is one of the countries with the highest number of diet-related chronic diseases, which is believed to be associated with high animal fat intake. Sheep meat is high in fats (~ 5% in muscle), including saturated and monounsaturated fatty acids, and it contains nearly twice the higher amounts of n-3 polyunsaturated fatty acids and conjugated linoleic acids compared to beef. Nevertheless, sheep meat is considered health promoting by the locals in Uzbekistan and it accounts for around 1/3 of red meat intake in the country.

Objectives
The aim of this study was to apply a metabolomics approach to investigate if sheep meat intake frequency (SMIF) is associated with alterations in fasting blood plasma metabolites and lipoproteins in healthy Uzbek adults.

Methods
The study included 263 subjects, 149 females and 114 males. For each subject a food intake questionnaire, including SMIF, was recorded and fasting blood plasma samples were collected for metabolomics. Blood plasma metabolites and lipoprotein concentrations were determined using 1H NMR spectroscopy.

Results and Conclusion
The results showed that SMIF was confounded by nationality, sex, body mass index (BMI), age, intake frequency of total meat and fish in ascending order (p < 0.01). Multivariate and univariate data analyses showed differences in the levels of plasma metabolites and lipoproteins with respect to SMIF. The effect of SMIF after statistical adjustment by nationality, sex, BMI, age, intake frequency of total meat and fish decreased but remained significant. Pyruvic acid, phenylalanine, ornithine, and acetic acid remained significantly lower in the high SMIF group, whereas choline, asparagine, and dimethylglycine showed an increasing trend. Levels of cholesterol, apolipoprotein A1, as well as low- and high-density lipoprotein subfractions all displayed a decreasing trend with increased SMIF although the difference were not significant after FDR correction.
Beta estimation in the European network regulation context: what matters, what doesn’t, and what is indispensable
Authors: Bazhutov Dmitry , Betzer André , Stehle Richard 
Published: April 2023

AbstractMost studies on beta estimation look at the whole universe of stocks. We focus on a small subset that consists of stocks of companies which are subject to European network regulation. This allows us to examine beta time series of individual stocks and small peer groups in great detail. Our most important conclusions are: (1) Sudden beta increases or decreases occur that often last only short periods of time and may therefore cause a significant misestimation of the future beta. (2) Three- and especially five-year betas are much more stable than one-year betas. (3) The choice between purely local, European or global betas may matter considerably. (4) Weekly or daily betas seem to be better than monthly ones. (5) Vasicek and Blume adjustments towards one lead to beta predictions that are too high.
Generative models for sequential dynamics in active inference
Authors: Parr Thomas , Friston Karl , Pezzulo Giovanni 
Published: April 2023

AbstractA central theme of theoretical neurobiology is that most of our cognitive operations require processing of discrete sequences of items. This processing in turn emerges from continuous neuronal dynamics. Notable examples are sequences of words during linguistic communication or sequences of locations during navigation. In this perspective, we address the problem of sequential brain processing from the perspective of active inference, which inherits from a Helmholtzian view of the predictive (Bayesian) brain. Underneath the active inference lies a generative model; namely, a probabilistic description of how (observable) consequences are generated by (unobservable) causes. We show that one can account for many aspects of sequential brain processing by assuming the brain entails a generative model of the sensed world that comprises central pattern generators, narratives, or well-defined sequences. We provide examples in the domains of motor control (e.g., handwriting), perception (e.g., birdsong recognition) through to planning and understanding (e.g., language). The solutions to these problems include the use of sequences of attracting points to direct complex movements—and the move from continuous representations of auditory speech signals to the discrete words that generate those signals.
Enhanced classification of hydraulic testing of directional control valves with synthetic data generation
Authors: Neunzig Christian , Möllensiep Dennis , Hartmann Melanie , Kuhlenkötter Bernd , Möller Matthias , Schulz Jürgen 
Published: April 2023

AbstractProduction environments bring inherent system challenges that are reflected in the high-dimensional production data. The data is often nonstationary, is not available in sufficient size and quality, and is class imbalanced due to the predominance of good parts. Data-driven manufacturing analytics requires data of sufficient quantity and quality. In order to predict quality characteristics, production data is collected across processes in the industrial use case at Bosch Rexroth AG for the purpose of inferring results in hydraulic final inspection using machine learning methods. Since high quality data generation is costly, synthetic data generation methodologies offer a promising alternative to improve prediction models and thus generate safer, more accurate predictions for manufacturing companies. Among the synthetic data generation methodologies used, variational autoencoders compared to generative adversarial networks and synthetic minority oversampling technique methods are best suited to synthesize the feature with highest feature importance from a small sample data set compared to the production data and improve the prediction for the target variable.
On-site solar PV generation and use: Self-consumption and self-sufficiency
Authors: Wang Zheng , Luther Mark B. , Horan Peter , Matthews Jane , Liu Chunlu 
Published: April 2023

AbstractAs energy storage systems are typically not installed with residential solar photovoltaic (PV) systems, any “excess” solar energy exceeding the house load remains unharvested or is exported to the grid. This paper introduces an approach towards a system design for improved PV self-consumption and self-sufficiency. As a result, a polyvalent heat pump, offering heating, cooling and domestic hot water, is considered alongside water storage tanks and batteries. Our method of system analysis begins with annual hourly thermal loads for heating and cooling a typical Australian house in Geelong, Victoria. These hourly heating and cooling loads are determined using Transient System Simulation (TRNSYS) software. The house’s annual hourly electricity consumption is analysed using smart meter data downloaded from the power supplier and PV generation data measured with a PV system controller. The results reveal that the proposed system could increase PV self-consumption and self-sufficiency to 41.96% and 86.34%, respectively, resulting in the annual imported energy being reduced by about 74%. The paper also provides sensitivity analyses for the hot and cold storage tank sizes, the coefficient of performance of the heat pump, solar PV and battery sizes. After establishing the limits of thermal storage size, a significant impact on self-efficiency can be realised through battery storage. This study demonstrates the feasibility of using a polyvalent heat pump together with water storage tanks and, ultimately, batteries to increase PV self-consumption and self-sufficiency. Future work will concentrate on determining a best-fit approach to system sizing embedded within the TRNSYS simulation tool.
Interactions between long interpregnancy interval and advanced maternal age on neonatal outcomes
Authors: Ma Yan , Fu Hua , li Yang , Bao Zheng-Rong , Dong Wen-Bin , Lei Xiao-Ping 
Published: April 2023

Abstract
Background
After the implementation of the universal two-child policy in China, it was more frequent to have long interpregnancy intervals (IPIs) and advanced maternal age. However, the interactions between long IPIs and advanced maternal age on neonatal outcomes are unknown.

Methods
The study subjects of this historical cohort study were multiparas with singleton live births between October 1st, 2015, and October 31st, 2020. IPI was defined as the interval between delivery and conception of the subsequent pregnancy. Logistic regression models were used to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of the risks of preterm birth (PTB), low birth weight (LBW), small for gestation age, and 1-min Apgar score ≤ 7 in different IPI groups. Relative excess risk due to interaction (RERI) was used to evaluate the additive interaction between long IPIs and advanced maternal age.

Results
Compared with the 24 ≤ IPI ≤ 59 months group, the long IPI group (IPI ≥ 60 months) was associated with a higher risk of PTB (aOR, 1.27; 95% CI: 1.07–1.50), LBW (aOR, 1.32; 95% CI 1.08–1.61), and one-minute Apgar score ≤ 7 (aOR, 1.46; 95% CI 1.07–1.98). Negative additive interactions (all RERIs < 0) existed between long IPIs and advanced maternal age for these neonatal outcomes. Meanwhile, IPI < 12 months was also associated with PTB (aOR, 1.51; 95% CI 1.13–2.01), LBW (aOR, 1.50; 95% CI 1.09–2.07), and 1-min Apgar score ≤ 7 (aOR, 1.93; 95% CI 1.23–3.04).

Conclusions
Both short and long IPIs are associated with an increased risk of adverse neonatal outcomes. Appropriate IPI should be recommended to women planning to become pregnant again. In addition, better antenatal care might be taken to balance the inferiority of advanced maternal age and to improve neonatal outcomes.
Crowdsourcing food security: introducing food choice derivatives for sustainability
Authors: Trollman Hana , Jagtap Sandeep , Trollman Frank 
Published: April 2023

AbstractGlobal food supply chains are unprepared for the increasing number and severity of the expected environmental, social and economic shocks in the coming years. The price-setting process of commodities is directly impacted by such shocks, influencing consumer behavior regarding food choice and consumption. Both the market and advances in precision agriculture drive increased production and consumption. However, there has been a lack of consideration of how consumer behavior could be harnessed to mitigate such shocks through decreased consumption and reduced waste. The SAPPhIRE model of causality was applied to design sustainable and ecologically embedded futures derivatives that could have a role in affecting commodity markets. Multi-agent systems were combined with artificial intelligence and edge computing to provide the necessary functionality. The impact of war in Ukraine was used to exemplify the design of consumer “food choice” derivatives. This resulted in a mechanism to bring aggregated acts of consumer compassion and sustainability to commodities markets to mitigate food security shocks. When implementing food choice derivatives, care must be taken to ensure that consumer food choices are rational and compatible with individual nutritional needs and financial situations, and that the legitimate interests of agri-food businesses are protected.
Multilingual Meaning Making—An Explorative Study of German-Turkish Learners’ Translanguaging Processes Regarding the Part-Whole-Concept
Authors: Kuzu Taha Ertuğrul 
Published: April 2023

AbstractEducational Research in Multilingualism indicates that multlingual students’ thinking-and-speaking processes might be associated with different nuances when interpreting concepts and notions. From a subject-didactical perspective, this leads to the question, if or how these nuances can be reconstructed and which possible relevance they possess for mathematical learning trajectories. In a design-based study from the German context, the activation of multilingual resources in the conceptual development of German-Turkish 6th grade learners is examined. Follwing the translanguaging-paradigm, the learners were allowed to use all of their linguistic resources in a small-group-setting with a mulilingual learning environment for conceptually understanding fractions (with the share-notion being focussed), being designed according to a content-and-language-integrated approach. This article outlines the synthesis of the interdisciplinary theoretical background as well as the main research outcomes regarding the form and function of multilinguals’ learning trajectories by reconstructing conceptual fields and further analysing these with the linguistic translanguaging-paradigm in an interdisciplinary approach.