bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting Mechanical Properties of FDM‐Produced Parts Using Machine Learning Approaches
Authors: Özkül Mahmut , Kuncan Fatma , Ulkir Osman 
Published: February 2025

ABSTRACTAdditive manufacturing (AM), especially fused deposition modeling (FDM), has been widely used in industrial production processes in recent years. The mechanical properties of parts produced by FDM can be predicted through the correct selection of printing parameters. In this study, 25 machine learning (ML) algorithms were used to predict the mechanical properties (hardness, tensile strength, flexural strength, and surface roughness) of acrylonitrile butadiene styrene (ABS) samples fabricated by FDM. Experiments were conducted using three different layer thicknesses (100, 150, 200 μm), infill densities (50%, 75%, 100%), and nozzle temperatures (220°C, 230°C, 240°C). The effects of printing parameters on mechanical properties were investigated through analysis of variance (ANOVA). This analysis results indicated that infill density had the most significant effect on hardness (55.56%), tensile strength (80.02%), and flexural strength (77.13%). In addition, the layer thickness was identified as the most influential parameter on the surface roughness, with an effect of 70.89%. The prediction performance of the ML algorithms was evaluated based on the mean absolute error (MAE), root mean squared error, mean squared error, and R‐squared (R2) values. The KSTAR algorithm best predicted both hardness and surface roughness, with MAE values of 0.006 and 0.009, respectively, and an R2 value of up to 0.99. For the prediction of tensile and flexural strength, the MLP algorithm was determined to be the most successful method, achieving high accuracy (R2 > 0.99) for both properties. In addition, comparison graphs between the predicted and actual results showed high overall accuracy, with a particularly strong agreement for hardness, tensile strength, and surface roughness. The study identified the algorithms with the best prediction performance and provided recommendations for predicting the 3D printing process based on these findings.
Gait Speed and All‐Cause Mortality in Whole‐Spectrum Chronic Kidney Disease: A Systematic Review and Meta‐Analysis Included 6217 Participants
Authors: Zhang Fan , Wang Hui , Bai Yan , Huang Liuyan , Zhong Yifei , Li Yi 
Published: February 2025

ABSTRACTBackgroundThe quantitative relationship between gait speed and mortality risk in patients with chronic kidney disease remains unclear. This study aimed to conduct a meta‐analysis to estimate the risk of mortality associated with gait speed in chronic kidney disease (CKD) patients.MethodsRelevant studies published were identified through literature searches using Embase, PubMed and Web of Science. Prospective cohort studies of adult CKD patients that examined the relationship between gait speed and mortality were included. Random effects meta‐analyses based on restricted maximum likelihood to were used to calculate relative risk (RR) and 95% confidence interval (95% CI). The results of meta‐analyses were assessed using Grading of Recommendations, Assessment, Development and Evaluation framework.ResultsSeventeen prospective cohort studies involving 6217 CKD patients (mean age range: 51.6–81.85 years; 44.3%–84% male) were included. Pooled analysis of 12 studies (n = 4233) showed that lower gait speed was associated with a higher risk of all‐cause mortality compared to higher gait speed (RR = 2.138; 95% CI: 1.794–2.548; p < 0.001; I2 = 16.0%; high‐certainty evidence) in CKD patients. Dose–response meta‐analysis of 6 studies (n = 1650) revealed that each 0.1 m/s increase in gait speed was associated with a 25.7% lower risk of all‐cause mortality (RR = 0.743; 95% CI: 0.580–0.955; p = 0.018; I2 = 45.0%; high‐certainty evidence).ConclusionsSlower gait speed is a strong predictor of all‐cause mortality in CKD patients, including those undergoing dialysis or kidney transplantation. Gait speed assessment should be incorporated into routine clinical evaluations to identify high‐risk patients and guide interventions aimed at improving physical function and survival outcomes.Trial Registration: PROSPERO registration number: CRD42022340135
Do We Have the Evidence to Produce Tools to Enable the Identification and Personalization of Management of Women's Pelvic Floor Health Disorders Through the Perinatal and Perimenopausal Periods? ICI‐RS 2024
Authors: Kearney Rohna , Salvatore Stefano , Khullar Vik , Chapple Christopher , Taithongchai Annika , Uren Alan , Abrams Paul , Wein Alan 
Published: February 2025

ABSTRACTIntroductionThere is an increasing recognition of the impact of ageing on pelvic floor health and the consequences in populations with rising proportions of women over the age of 65 years. A think tank was held at the ICI‐RS 2024 to discuss the evidence to support the personalisation of women's pelvic floor health during the perinatal and perimenopausal period.MethodsData was collected and presented on the evidence to support the development of tools to personalise pelvic floor health care. Epidemiological, imaging, patient‐reported outcomes, and evidence of tool development questionnaires were discussed. The current evidence and research gaps for potential intervention to prevent the pelvic floor disorders of pelvic organ prolapse, overactive bladder, urinary incontinence and faecal incontinence during the perinatal and perimenopasual time periods were discussed and identified.ResultsEpidemiological studies highlight that vaginal delivery and in particular operative vaginal delivery is the single biggest modifiable risk factor for the future development of pelvic floor dysfunction. The oestrogen depletion resulting from the perimenopause and menopause can lead to the development of Genitourinary syndrome of menopause (GSM) which is associated with the risk of developing pelvic floor dysfunction. Ultrasound is a useful technique for assessing the pelvic floor and has been used to assess bladder neck mobility, distensibility of the puborectalis muscle and the striated urethral sphincter volume antenatally with some studies reporting a correlation between these measurements and the need for Caesarean section and development of postpartum stress urinary incontinence. Further studies are needed to standardise these measurements. There are no patient reported outcome questionnaires validated for use in the perinatal and postmenopausal period. The UR‐ choice tool has been developed to counsel women on the risk of postpartum pelvic floor disorders occurring. However, further evaluation in larger numbers is required.ConclusionThere is significant interest in developing tools to counsel women on the risks of developing pelvic floor dysfunction post partum and after the menopause. Further evaluation of the UR‐choice tool was considered a research priority. The timepoint of cervical screening for research into interventions such as pelvic floor health education, lifestyle optimisation and perimenopausal vaginal oestrogen supplementation was identified.
Development of Boron Nitride Hydroxide/Aluminum Oxide/Epoxy Resin Spheres and Graphene Oxide‐Loaded L‐Ascorbic Acid Aerogel for Enhanced Thermal Conductivity and Insulation via Hot‐Pressing
Authors: Cho Jangwoo , Jang Eunsu , Kim Jihoon , Kim Munho , Su Pei‐Chen , Kim Jooheon 
Published: February 2025

ABSTRACTPolymer composites have easy processability, low cost, and wide applicability. Moreover, arranging fillers within such polymer composites to form a heat transfer path plays a crucial role in enhancing thermal conductivity. In this paper, composites were composed using boron nitride (BN), aluminum oxide (Al2O3), reduced graphene oxide (r‐GO), L‐ascorbic acid (L‐AA), and epoxy resin (EP) (BN‐OH/Al2O3/EP/r‐GO@L‐AA). To create BN‐OH/Al2O3/EP spheres, Al2O3 was used as the core, with a small amount of EP and BN‐OH surrounding it to form ceramic spheres. An r‐GO@L‐AA aerogel was formed by cross‐linking r‐GO and L‐AA, followed by freeze‐drying. The BN‐OH/Al2O3/EP/r‐GO@L‐AA composites were fabricated by hot‐pressing the BN‐OH/Al2O3/EP spheres and r‐GO@L‐AA aerogel. With the vertical alignment of the BNs arranged according to the r‐GO@L‐AA aerogel, the BN‐OH/Al2O3/EP/r‐GO@L‐AA composite achieved a high thermal conductivity of 4.632 W/m K, a tensile strength of 65 MPa, and insulating properties.
Exploring Acidic Sauce Permeation on High‐Barrier Packaging Film Properties
Authors: Haque Md. Akiful , Peterson Amy M. , Froio‐Blumsack Danielle , Ratto Jo Ann , Chen Wan‐Ting 
Published: February 2025

ABSTRACTHigh‐performance packaging for condiments, such as hot sauce in meal, ready‐to‐eat (MRE) rations for military personnel, is critical to ensure food quality and safety. This study addresses possible packaging solutions by examining the performance and degradation of multilayer packaging films when exposed to hot sauce. The research involved creating pouches from four different multilayer films, utilizing polymers such as: linear low‐density polyethylene (LLDPE), low‐density polyethylene (LDPE), polypropylene (PP), polyethylene terephthalate (PET), polyesters and polyamide (PA). These pouches underwent accelerated storage testing with liquid hot sauce for 12 months at 80°F. The study focused on understanding the effect of acidic sauce permeation on the chemical properties, surface morphology and colour changes of individual layers within a pouch. The analysis identifies the layer most susceptible to degradation due to hot sauce permeation. It was also found that the sealant layer plays a key role in protecting the hot sauce quality, preventing pouch failure. These findings are critical for enhancing the durability and efficiency of multilayer packaging materials, with broader implications for the food, pharmaceutical and consumer goods industries.
A Survey of Approaches to Early Rumor Detection on Microblogging Platforms: Computational and Socio‐Psychological Insights
Authors: Kwao Lazarus , Yang Yang , Zou Jie , Ma Jing 
Published: February 2025

ABSTRACTSocial media, particularly microblogging platforms, are essential for rapid information sharing and public discussion but often allow rumors, that is, unverified information, to spread rapidly during events or persist over time. These platforms also offer opportunities to study the dynamics of rumors and develop computational methods to assess their veracity. In this paper, we provide a comprehensive review of existing theoretical foundations, interdisciplinary challenges, and emerging advancements in rumor detection research, with a focus on integrating theoretical and computational approaches. Drawing on insights from computer science, cognitive psychology, and sociology, we explore methodologies, such as multimodal fusion, graph‐based models, and attention mechanisms, while highlighting gaps in real‐world scalability, ethical transparency, and cross‐platform adaptability. Using a systematic literature review and bibliometric analysis, we identify trends, methods, and gaps in current research. Our findings emphasize interdisciplinary collaboration to develop adaptable, efficient, and ethical rumor detection strategies. We also highlight the critical role of combining socio‐psychological insights with advanced computational techniques to address the human factors in rumor spread. Furthermore, we emphasize the importance of designing systems that remain effective across diverse cultural and linguistic contexts, enhancing their global applicability. We propose a conceptual framework integrating diverse theories and computational techniques, offering a roadmap for improving detection systems and addressing misinformation challenges on microblogging platforms.
Politics and Geology in Anthropocene Geopolitics
Authors: Dalby Simon 
Published: February 2025

Abstract
TheAnthropoceneconcept requires an extension of thinking well beyond traditional environmental formulations to recontexualise humanity as a major earth system force that is transforming the biosphere. This new context requires moving beyond conventional social science assumptions that the planet is a stable stage for human rivalries and engaging with the world making implications of understanding humanity as a geologicalactor. If humanity is to shape the future so that life operates in conditions loosely analogous to the last dozen millennia then a ‘planet politics’ that focuses on production processes that transcends the systems of fossilfueled capitalism of the last couple of centuries is essential. The task for social scientists is to facilitate such transitions, and the Anthropocene concept, if it is used carefully is a key formulation to facilitate transitions to more sustainable futures.
Conclusion
Authors: Eitrem Holmgren Linda 
Published: February 2025

Abstract
This chapter discusses the main findings of the study. It argues that a broad definition of political participation is needed to recognise women’s grassroots work as acts of citizenship. It explores the ways in which gender equality and women’s political participation in Northern Ireland has been faced with pushback, backlash and in some instances, progress since 1998. The chapter then compares and contrasts transversal and agonistic dialogue in relation to women’s cross-community activities and addresses their limitations and obstacles to implementation. The chapter is then concluded with a discussion of the potential for building transversal gender-just citizenship in Northern Ireland.
Datenassimilation und optimale Sensorplatzierung
Authors: Naumann Andreas , Riedel Ilka , Herzog Roland 
Published: February 2025

Zusammenfassung
In Kap. „Strukturmodelle von Werkzeugmaschinen“ wird das thermo-elastische Verhalten von Werkzeugmaschinen im Detail beschrieben. Eine Maßnahme zur Beherrschung des thermischen Verhaltens sind steuerungsintegrierte Korrekturverfahren. Diese Verfahren nutzen ein Modell, um die thermisch bedingten Verlagerungen der Maschine nachzubilden.
Energieeffiziente Systeme zur aktiven Steuerung von Wärmeflüssen
Authors: Voigt Immanuel , Drossel Welf-Guntram 
Published: February 2025

Zusammenfassung
Maßnahmen zur Kompensation und Korrektur thermischer Fehler in Werkzeugmaschinen gehen in der Regel mit einem erhöhten Energieeinsatz oder hohem Modellierungs- und Messaufwand einher. Ein neuartiger Ansatz zur Reduzierung der Auswirkungen von Wärmeströmen auf die Maschinengenauigkeit ist der Einsatz von Komponenten, die eine Umverteilung der Wärme in der Maschine ohne zusätzliche Hilfsenergie ermöglichen. Eine derartige Wärmeumverteilung hat zum Ziel, durch variable thermische Lasten induzierte Temperaturfelder so zu verändern, dass die Verlagerung des TCP in ihren zeitlichen Schwankungen reduziert wird.
Optimierte Temperierung von Maschinengestellen für unsymmetrische Lasteinträge
Authors: Steiert Christoph , Weber Juliane , Hellmich Arvid , Geist Alexander , Mater Sarah , Glänzel Janine , Weber Jürgen , Ihlenfeldt Steffen 
Published: February 2025

Zusammenfassung
Die in Kap. 18 vorgestellte Methodik zum Betrieb von Kühlsystemen in Werkzeugmaschinen wird in diesem Kapitel exemplarisch am Beispiel eines Maschinengestells angewandt. Es wurde in der Vergangenheit die verformungsgerechte Temperierung von Gestellstrukturen aus Polymerbeton untersucht und dabei mehrere Einzelkreisläufe, die einzeln oder gekoppelt betrieben wurden eingesetzt. Dabei wurden TCP-Hauptverlagerungen gemessen und um mindestens 50 % reduziert, wodurch sich die Bearbeitungsgenauigkeit von Prüfwerkstücken verbesserte.
Strukturmodelle von Werkzeugmaschinen
Authors: Rudolph Holger , Sauerzapf Stefan , Thiem Xaver , Naumann Andreas , Beitelschmidt Michael 
Published: February 2025

Zusammenfassung
Strukturmodelle basieren auf physikalisch begründeten Modellvorstellungen. In der Regel führen diese Vorstellungen auf partielle Differentialgleichungen (partial differential equations, PDE). Die Lösung dieser Gleichungen erfolgt üblicherweise über eine Diskretisierung im Raum und in der Zeit. Dazu werden die PDE in einem ersten Schritt im Ort diskretisiert, wodurch zunächst ein System gewöhnlicher Differentialgleichungen (ordinary differential equations, ODE) entsteht.
Kennfeldbasierte Korrektur
Authors: Naumann Christian , Naumann Martin , Geist Alexander , Kumar Tharun Suresh , Glänzel Janine 
Published: February 2025

Zusammenfassung
Eine Möglichkeit zur Vorhersage und damit der Korrektur thermo-elastischer Verformungen liegt in der Multivariaten Regressionsanalyse (MRA). Kennfelder, als Vertreter der MRA, ermöglichen die direkte, nicht-lineare Abbildung von einem kleinen Satz von Temperatursensoren auf der Werkzeugmaschine auf ihre zugehörige Verlagerung. Das Kapitel beschreibt die Berechnung derartiger Korrekturkennfelder aus einer Trainingsdatenbank und zeigt deren Anwendung und Güte am Beispiel eines Fünf-Achs-Bearbeitungszentrums.
Effiziente Parametrierung von Korrekturmodellen
Authors: Neus Stephan , Steinert Alexander , Spierling Robert , Brecher Christian 
Published: February 2025

Zusammenfassung
Künstliche Neuronale Netze, Verzögerungsglieder oder Polynomfunktionen werden genutzt, um das in Referenzversuchen identifizierte thermo-elastische Maschinenverhalten in mathematischen Modellen beschreibbar zu machen. Alle Ansätze haben gemein, dass die Modellqualität signifikant mit der verfügbaren Datenmenge korreliert. Insbesondere in der praktischen Anwendung zeigt sich allerdings, dass die Bereitstellung entsprechender Daten zeit- und damit kostenintensiv ist, sodass die Potenziale etwaiger Korrekturansätze aufgrund begrenzter Datensätze nicht vollständig genutzt werden können.
Online-Korrektur thermisch bedingter Verformungen mithilfe von integralen Verformungssensoren
Authors: Bertaggia Nico , Tzanetos Filippos , Zontar Daniel , Brecher Christian 
Published: February 2025

Zusammenfassung
Die Optimierung des thermischen Verhaltens von Werkzeugmaschinen minimiert den Einfluss thermischer Störungen auf die Bauteilgenauigkeit. Diese Störungen werden während der Fertigung durch die Umgebung, den Prozess oder die maschineninternen Wärmequellen der Vorschubachsen verursacht. Dabei kann zunächst die Konstruktion der Maschinenelemente und der -struktur optimiert werden.
Photogrammetrisches Messmodell zur Erfassung thermisch bedingter Fehler an WZM
Authors: Müller Jens , Deutsch Jessica , Murali Siddharth 
Published: February 2025

Zusammenfassung
Für die Messung thermisch bedingter Verlagerungen und Verformungen an WZM wurde ein markenbasiertes, optisches Messsystem entwickelt, konfiguriert und auf dem Versuchsträger MAX (Abschn. 1.3) in Betrieb genommen. Die Bildinformationen werden in ein Messmodell gespeist, das eine Erfassung und Analyse der Verlagerungszustände der Maschine im kompletten Arbeitsraum ermöglicht. Damit einher gehen einige Vorteile im Vergleich zu herkömmlichen (taktilen und nicht taktilen) Messinstrumenten, wie beispielsweise Feinzeigern oder Laserinterferometern.
Anwendungsbeispiel DMU 80 eVo
Authors: Naumann Christian , Geist Alexander , Suresh Kumar Tharun , Weber Juliane , Steiert Christoph , Voigt Immanuel , Plum Franziska , Thiem Xaver , Bertaggia Nico , Glänzel Janine , Weber Jürgen , Zontar Daniel , Brecher Christian , Ihlenfeldt Steffen 
Published: February 2025

Zusammenfassung
Am Beispiel der DMU 80 eVo von DMG Mori wird eine detaillierte Analyse des thermischen Verhaltens und der geeigneten Maßnahmen zu dessen Verbesserung gezeigt. Der Fokus liegt dabei auf in den vorangegangenen Abschnitten vorgestellten Verfahren, aber es wird an geeigneten Stellen auch auf alternative Ansätze verwiesen. Das Vorgehen erstreckt sich von der Iststandsanalyse und Zieldefinition über Methodenauswahl und -implementierung bis hin zur Validierung der Lösung. Am Ende erfolgt am Beispiel der kennfeldbasierten Korrektur eine exemplarische Umsetzung und Lösungsbewertung.
Untersuchung von Maschinenkomponenten
Authors: Neus Stephan , Steinert Alexander , Kneer Florian , Brecher Christian 
Published: February 2025

Zusammenfassung
Produktivitätssteigernde Maßnahmen und eine Erhöhung der Leistungsdichte von Werkzeugmaschinen setzen eine deutlich gesteigerte Leistungsaufnahme der Antriebe voraus und äußern sich in der Regel in gesteigerten Prozesskräften. In Vorschubachsen von Werkzeugmaschinen führt dies zu erheblichen Verlustleistungen in Maschinenkomponenten wie Kugelgewindetrieben und Linearführungen. Um auch im oberen Grenzbereich stabile Betriebsbedingungen gewährleisten zu können, ist eine genaue Kenntnis des Komponentenverhaltens unter Last essentiell.
Fluidische Kühlung
Authors: Steiert Christoph , Weber Juliane , Weber Jürgen 
Published: February 2025

Zusammenfassung
Fluidische Systeme sind ein wichtiger Bestandteil der Werkzeugmaschine (WZM). Sie übernehmen verschiedene Aufgaben wie die Kühlung und Schmierung durch das Kühl- und Kühlschmierstoffsystem sowie die Aktuierung von Spannvorrichtungen durch das Hydrauliksystem (vgl. Abb. 1), die unterschiedliche Auswirkungen auf den thermischen WZM-Haushalt haben. Auf der einen Seite tragen die Antriebe der Fluidsysteme durch Reibung und elektrische Verluste Wärme in die Maschine ein.
Einleitung
Authors: Reimer Maximilian Vincent 
Published: February 2025

Zusammenfassung
Die Entscheidungen von Menschen sind zuweilen schwer ergründbar. Und doch stellt sich die Verhaltensökonomik die Aufgabe, genau dies zu tun. Die vorliegende Arbeit soll einen Beitrag dazu leisten, zentrale Einflüsse in Abwägungsentscheidungen besser zu verstehen.
Biomarkers in clonal haematopoiesis of indeterminate potential (CHIP) linking cardiovascular diseases, myeloid neoplasms and inflammation
Authors: Tan Hui Shan Valerie , Jiang Haowen , Wang Samuel Sherng Young 
Published: February 2025

Abstract
There is increasing evidence that points to ubiquity of clonal haematopoiesis of indeterminate potential (CHIP) especially with rising age. CHIP has been associated with a multitude of inflammatory, cardiovascular and malignant conditions. In this review article, we evaluate the current literature on CHIP and clinical associations with cardiovascular and haematological diseases. We also discuss high risk features of CHIP that predispose to haematological malignancies, as well as further zoom in on the association between clonal haematopoiesis and therapy-related myeloid neoplasm (tMN). CHIP increases risk of atherosclerotic cardiovascular disease and other cardiovascular conditions such as heart failure, arrhythmias and valvular disease. Hematopoietic clones with mutations in TP53 and spliceosome gene U2AF1 in particularly have repeatedly been shown to increase risk for AML. Other factors such as increased clonal size i.e. variant allele fraction (VAF), clonal complexity have also been shown to increase risk for haematological malignancy. In this comprehensive review, we consolidate the most recent advancements in the understanding of clonal haematopoiesis of indeterminate potential (CHIP) and its associations with cardiovascular and haematological disease. This review is also one of the first to focus on potential biochemical markers routinely utilized in clinical practice that may suggest a more sinister progression of CHIP. We hope to provide physicians with a nuanced perspective on the evolving landscape of CHIP, and offering valuable insights into its clinical implications and potential prognostic indicators.