bluuebunny/crossref_metadata_2025_split huggingface dataset:
Component specific fatigue strength determination using hollow drill samples for limit state design in drive train components
Authors: Weber Felix , Züch Vitali , Schulz Victoria , Bosse Dennis , Jacobs Georg , Broeckmann Christoph 
Published: February 2025

Abstract
With modern wind turbines facing continuous upscaling in terms of size and power, challenges in manufacturing, logistics, assembly, and total cost arise. To account for these challenges, an increase in the power density, e.g., of the drive train, is required. While modifications of the component geometry allow for potential optimization, significant potential is currently locked up by safety factors accounting for uncertainty in local material properties. To unlock this potential, the uncertainty of local material properties, especially the local fatigue strength, needs to be reduced.
This study presents an experimental approach to analyze and quantify the local fatigue strength of a cast component by testing specimens manufactured from hollow drill samples taken from the cast component. Therefore, the change in temperature due to internal dissipation effects is observed during fatigue testing of the specimen in a load increase test. Analysis of the stress dependent change in temperature results in virtual test points that can be evaluated to derive local fatigue strengths. The temperature change within the specimen is determined by low-cost Negative Temperature Coefficient (NTC) thermistors placed on the surface of the specimen.
The potential of the method is demonstrated for cast iron grade EN-GJS-500-14. The testing of different casts of EN-GJS-500-14 demonstrates the robustness of uncertainty estimation of the proposed method. Especially for heavy-section castings, this procedure allows for the determination of a component specific local material fatigue strength without an effect on the overall component integrity. Implementing this testing procedure as a fingerprint of a cast component could reduce the uncertainty in the local material properties and consequently reduce the applied safety factors.
Detection of particle contamination and lubrication outage in journal bearings in wind turbine gearboxes using surface acoustic wave measurements and machine learning
Authors: Decker Thomas , Jacobs Georg , Raddatz Malte , Röder Julian , Betscher Jonas , Arneth Philipp 
Published: February 2025

Abstract
Journal bearings are used more and more in wind turbine (WT) gearboxes. Compared to rolling element bearings they are advantageous in terms of power density and reliability. Despite their reliability and theoretically unlimited fatigue life, journal bearings can be damaged by particularly critical operating conditions that do not represent normal WT operation. As journal bearing damage can occur very suddenly in the worst case, continuous monitoring of the bearing’s condition is advisable. Particle contamination in the lubricant and an outage of the oil supply can be particularly harmful to the bearing. Condition monitoring systems (CMS) have the potential to detect such critical operating conditions in journal bearings before damage occurs. A detection of these conditions is crucial for preventing bearing damage and thus gearbox failure which results in turbine downtime and yield loss. If failures of journal bearings in WT gearboxes can be avoided through the use of CMS this, in the long term, has the potential to reduce maintenance and repair costs in the field application.
In this work the novel surface acoustic wave (SAW) measurement method is presented for the detection of particle contamination and lubrication outage. The SAW method is advantageous compared to conventional monitoring methods such as vibration measurements, as it is based on measuring the propagation behavior of actively introduced SAW into the bearing. This makes the method particularly robust against disturbing noise. For the evaluation of the signals and the detection of the aforementioned operational anomalies a machine learning approach is used. The latter is implemented such that an online monitoring can be performed with only a short latency between data input and evaluation.
The presented method was validated on a component test rig for journal bearings. For the experiments the SAW measurement was implemented into the test bearings. In the test campaign, the anomalies were actively induced and the bearing behavior observed over time. This work provides insight into the signals measured during the occurrence of operational anomalies and proves that a lubrication outage and particle contamination can be detected using SAW.
Numerical simulation of ring creep on a wind turbine main shaft
Authors: Grosse Peter , Kyling Hans 
Published: February 2025

Abstract
A novel high-fidelity FEM modeling approach is developed to simulate the micro-motion in the main bearing assembly of a wind turbine (WT) drive train. This model will not only simulate the rolling bearing itself but also the stiffness of the neighboring structure, as this is mandatory to simulate the ring migration effect realistically. Due to the size of the components and the bearings on the one hand and the scale of the micro-movements resulting in ring creep on the other hand, there are some challenges, e.g. the model needs to be fine enough to fully capture the non-linearity in the bearing, but it should also remain calculable with basic computer equipment. For that purpose, state-of-the-art bearing modeling is combined with the submodeling technique. So ring creep can be calculated in a smart way on usual computer hardware.
Robustness and transferability of an autoencoder based anomaly detection approach to detect gear damage
Authors: Binanzer Lisa , Dazer Martin 
Published: February 2025

Abstract
Using an autoencoder (AE) based approach enables damage detection in a very early stage and does not require labeled training data. The earliest possible damage detection in gearboxes provides a precise insight into the state of health. The aim of this investigation is to use extended training datasets that include multiple operating conditions, thus robust damage detection is investigated independent of the operating state. In a first evaluation the operating states with same speed, but different torques of a healthy gear pair are used as a training dataset. In a second evaluation, operating states of different speeds and torques are used as a training dataset. In addition, the transferability of the algorithm to other gear pairs is examined without training the AE again. The vibration data used for damage detection are recorded on the test bench with a single stage spur gearbox. The test runs are carried out at different damage sizes, speeds and torques. The AE is trained on datasets without damage. The trained AE receives datasets of the tests with and without damage and encodes them. After a subsequent decoding step, the loss of the AE is calculated. The loss varies depending on the damage size. The investigation of the extended training datasets and the transferability of the AE provides valuable insights for the further development of robust damage detection algorithms.
Oedema as a prognostic factor for seizures in meningioma - a systematic review and meta-analysis
Authors: Tanti Matthew J. , Nevitt Sarah , Yeo Molly , Bolton William , Chumas Paul , Mathew Ryan , Maguire Melissa J. 
Published: February 2025

Abstract
Meningiomas are benign intracranial tumours that commonly lead to seizures and oedema. An understanding of seizure risk factors is essential for the meningioma community. Many studies have differing conclusions on whether oedema is associated with seizure. Existing meta-analyses are limited by lack of focus on oedema. Our objective was to summarise all literature on oedema as a prognostic factor for seizures in meningioma patients. We searched OVID, Scopus, Pubmed, Web of Science, ClinicalTrials.gov and Google scholar up to April 2024 for reports with more than 10 human meningioma participants. Statistics were performed on R-Studio. Cochrane and Campbell guides for systematic reviews and meta-analysis were followed. Risk of bias was assessed with ROBINS-E. Our protocol was uploaded to INPLASY. We included 51 studies for meta-analysis and 21 for narrative review. Most studies were of surgically treated adults. Heterogeneity was low once outliers were removed. Preoperative oedema was associated with preoperative seizure (k = 28, n = 7,725, OR 3.5, 95% CI = 3.1-4.0, I2 = 0%, p < .001), early postoperative seizure (k = 9, n = 2,929, OR 1.5, CI = 1.1–1.9, I2 = 0%, p = .011) and late postoperative seizure (k = 9, n = 2,150, OR 1.9, CI = 1.5–2.2, I2 = 0%, p < .001). We performed an additional adjusted analysis for preoperative seizures which was also significant (k = 3, n = 2,241, OR 3.9, CI = 2.4–6.3, I2 = 0%, p = .007). There were few studies of post-radiosurgery oedema and seizure, and of postoperative oedema and seizure, with insignificant but positive associations. Preoperative oedema is a key factor for preoperative seizures. Oedema also increases risk of postoperative seizures. Further study in conservative, radiosurgery and paediatric populations, as well as study of oedema and seizure severity or subtype is warranted.
How strong was Goliath? Geomechanical characterization of the submarine Goliath slide
Authors: Pinkert Shmulik , Bar-Zvi Liad , Makovsky Yizhaq , Bookman Revital 
Published: February 2025

Abstract
Understanding the mechanical properties of continental submarine slopes is critical for the assessment of geo-marine slope stability hazards. This paper presents the first detailed geomechanical study on sediment profiles associated with a geologically recent sliding event at the Goliath submarine complex offshore southern Israel. Sediment samples were extracted from ~ 5-m-long piston cores collected from three representative sites: on the recent slide headscar (PHS3), the adjacent undisturbed slope seafloor (PSL4), and at the dextral tail-depositional lobe (PTL3). The investigation included Gamma-ray and CT scanning, sediment phase measurement, laboratory T-bar penetration, and vane shear testing. The evaluated properties for the three sites are the undrained shear strength, over-consolidation ratio, soil sensitivity, water content, and density. The experimental results show a strong correlation between the findings of the various investigation tools regarding the original soil condition before sliding, the slide scar location, the degradation in properties of the disturbed soil, and the post-slide deposited soil properties. Despite the variation in properties among the different sites, the paper presents a prediction model for the soil strength in the Goliath slide area. Beyond the geomechanical characterization, the analysis of the test results highlights two unique findings: (1) evidence of a long-term strength softening phenomenon in the post-slide period, and (2) insights into the transition of geomechanical properties with depth within the slide scar.
Associations of procrastination with loneliness, social isolation, and social withdrawal
Authors: Hajek André , Gyasi Razak M. , Pengpid Supa , Kostev Karel , Soysal Pinar , Veronese Nicola , Smith Lee , Jacob Louis , König Hans-Helmut , Peltzer Karl 
Published: February 2025

Abstract

Aim
The aim was to investigate the association of procrastination with loneliness, social isolation, and social withdrawal (also stratified by sex).

Subjects and methods
Data were used from a large sample of the general adult population in Germany, consisting of individuals aged 18 to 74 years (analytic sample, n  = 5000 individuals, mean age: 46.9 years, SD: 15.2; 50.7% female). Standardized instruments were employed to measure the key variables. Multiple linear regressions were employed.

Results
After the adjustment for various sociodemographic factors, lifestyle habits, and health-related variables, the regression analyses showed that greater procrastination was significantly associated with higher levels of loneliness (β = .11, p < .001), higher perceived social isolation (β = .05, p < .001), higher objective social isolation (β = .14, p < .001), and greater social withdrawal (β = 1.00, p < .001). Additional regressions showed that such associations were mainly significantly more pronounced among men.

Conclusion
Our study showed that procrastination is associated with several unfavorable social outcomes, particularly among men. Efforts to address procrastination may also help such unfavorable social outcomes, pending future longitudinal studies.
The potential of silvopasture in the mid-atlantic USA: insights from land managers on motivations, challenges, and production features
Authors: Poudel Sanjok , Ely Kristine , Fike John 
Published: February 2025

Abstract
Silvopasture is an intentional integration of trees, livestock, and forages within a common land management unit. Despite the significant potential opportunity, silvopasture is not widely adopted by landowners in the mid-Atlantic U.S.A. Limited information exists on silvopasture establishment and its overall management in a real farming context. These case studies were conducted to observe and document various establishment and management approaches for silvopasture among early adopters in Virginia to provide practical information to other producers interested in developing these systems. A questionnaire was developed and four producers in different physiographic regions of Virginia were interviewed. All the producers interviewed manage beef cattle operations. A common motivation behind silvopasture adoption was the opportunity to utilize the shade within the system for livestock health and welfare benefits. In cases where silvopastures were thinned from existing timber stands, the ability to expand grazable land was also a strong motivator. Producers utilized different methods for establishing and managing silvopasture based on their available resources and expertise. Climate change was not a consideration for any producers interviewed in their decision to create or manage silvopasture on their farm. Limited access to information and resources on silvopasture during the early adoption stage was a common experience for all interviewees. Each participant felt that silvopasture has great aesthetic value and can increase biodiversity within the farm. All producers interviewed were interested in expanding the silvopasture land area on their farm but also described various constraints that may hinder their ability to do so.
RNA sequencing identifies MAP1A and PTTG1 as predictive genes of aging CD264+ human mesenchymal stem cells at an early passage
Authors: Giler Margaret K. , Tucker H. Alan , Foote Amanda K. , Francis Avery G. , Madsen Sean D. , Liu Yao-Zhong , O’Connor Kim C. 
Published: February 2025

Abstract
Molecular profiles of mesenchymal stem cells (MSCs) are needed to standardize the composition and effectiveness of MSC therapeutics. This study employs RNA sequencing to identify genes to be used in concert with CD264 as a molecular profile of aging MSCs at a clinically relevant culture passage. CD264− and CD264+ populations were isolated by fluorescence-activated cell sorting from passage 4 MSC cultures. CD264+ MSCs exhibited an aging phenotype relative to their CD264− counterpart. Donor-matched CD264−/+ mRNA samples from 5 donors were subjected to pair-ended, next-generation sequencing. An independent set of 5 donor MSCs was used to validate differential expression of select genes with quantitative reverse transcription PCR. Pairwise differential expression analysis identified 2,322 downregulated genes and 2,695 upregulated genes in CD264+ MSCs relative to donor-matched CD264− MSCs with a Benjamini–Hochberg adjusted p-value (BH p

adj
) < 0.1. Nearly 25% of these genes were unique to CD264−/+ MSCs and not differentially expressed at a significance level of BH p

adj
< 0.1 in previous RNA sequencing studies of early- vs. late-passage MSCs. Least Absolute Shrinkage and Selection Operator regression identified microtubule-associated protein 1A (MAP1A) and pituitary tumor-transforming gene 1 (PTTG1) as predictive genes of CD264+ MSCs. Combined MAP1A and PTTG1 expression correctly classified CD264 status of MSC samples with an accuracy of 100%. Differential expression and predictive ability of MAP1A and PTTG1 compared favorably with that of existing senescence markers expressed in early passage CD264−/+ MSCs. This study provides the first linkage of MAP1A to CD264, aging and senescence. Our findings have application as quality metrics to standardize the composition of MSC therapies and as molecular targets to slow/reverse cellular aging.
Being Responsible in Cybersecurity: A Multi-Layered Perspective
Authors: Panteli Niki , Nthubu Boineelo R , Mersinas Konstantinos 
Published: February 2025

Abstract
The paper posits that in the increasingly connected digital landscape, there is a growing need to examine the scale and scope of responsible cybersecurity. In an exploratory study that involved qualitative interviews with senior cybersecurity professionals, we identify different layers of responsible cybersecurity that span across techno-centric, human-centric, organizational (intra and inter) and societal centric perspectives. We present these in an onion-shaped framework and show that collectively these diverse perspectives highlight the linked responsibilities of different stakeholders both within and beyond the organization. The study also finds that senior leadership plays a crucial role in fostering responsible cybersecurity across the different layers. Implications for research and practice are discussed.
Distribution and failure patterns of primary central nervous system lymphoma related to the hippocampus: implications for hippocampal avoidance irradiation
Authors: Ryu Hyejo , Li Xue , Lee Tae Hoon , Kim Tae Min , Choi Seung Hong , Park Chul-Kee , Lee Soon Tae , Park Sung-Hye , Won Jae-Kyung , Jang Bum-Sup , Kim Il Han , Lee Joo Ho 
Published: February 2025

Abstract

Purpose
Hippocampal injury from WBRT contributes to neurocognitive decline in brain malignancy patients. HA-WBRT may mitigate this by reducing hippocampal radiation exposure, but its feasibility in PCNSL remains unassessed regarding hippocampal involvement and failure rates. This study evaluates hippocampal involvement at diagnosis and after treatment in PCNSL patients.

Materials and methods
We conducted a retrospective analysis of 278 immunocompetent PCNSL patients diagnosed between 2000 and 2021. Following high-dose methotrexate-based induction chemotherapy, patients either received consolidation therapy, including RT, cytarabine alone, or autologous stem cell transplantation or underwent observation. Hippocampus was outlined on T1 MRI images and expanded by a 5 mm margin to create the hippocampal avoidance region (HAR). Hippocampal failure was defined as recurrence or progression at HAR. The median follow-up was 38.7 months (range 3.1–239.4 months).

Results
Of the 278 patients diagnosed with PCNSL, 39.9% presented initial lesions at HAR. After induction therapy, 212 evaluable patients received consolidation treatments or observation. Intracranial failures occurred in 47.6% (n = 101), with 66.3% (n = 67) occurring outside the HAR and 33.7% (n = 34) inside the HAR. Unifocal disease (HR 0.61, 95% CI 0.39–0.96, p = 0.025) was associated with a lower risk of hippocampal failures, while initial HAR involvement significantly increased the risk (HR 2.26, 95% CI 1.18–4.47, p = 0.018). Patients with unifocal disease outside the HAR had the lowest 3-year hippocampal failure rate (6.2%). RT that included the hippocampus did not significantly affect hippocampal failure rates in patients without initial HAR lesions (p = 0.282), with three-year rates of 9.2 vs. 14.6% for other treatments. However, among patients with initial HAR involvement, RT including the hippocampus significantly reduced hippocampal failure rates compared to other approaches (p = 0.002). Hippocampal failure rates were comparable, with conventional WBRT at 14.6% and HA-WBRT at 19% in patients without initial HAR lesions (p = 0.734).

Conclusion
The routine application of the HA-WBRT strategy is not supported due to the high risk of hippocampal failures in general and requires further investigation to establish its feasibility and safety in well-defined subgroups. Our results suggest that the HA-WBRT strategy could be evaluated for select PCNSL patients with unifocal lesions or those located outside the HAR.
Do competitive forces tend to correct choice errors in journal selection due to imperfect attention on the part of researchers?
Authors: García J. A. , Montero-Parodi J. J. , Rodriguez-Sánchez Rosa , Fdez-Valdivia J. 
Published: February 2025

Abstract
For scientists, one of the most important points to consider is the right journals for research, current awareness, and publication of results. However, if scientists suffer from imperfect attention, they would pay attention to only a subset of journals in the subject category. Under this scenario, chief editors might affect preferences by using the journal’s salience to influence what scientists pay attention to. In this paper, we are going to address two related research questions: First, do competitive forces tend to correct choice errors in journal selection due to imperfect attention on the part of researchers? Second, does journal selection based on the choice of journal impact factor (JIF) quartiles produce the best journals in a multivariate indicator space? Using an attention game, we find that the competition between journals in the presence of positive externalities between the visibility of journals, pushes the best journals to increase their salience enough to overcome the distorting effects of imperfect attention. However, a visibility strategy based on JIF quartiles exhibits negative externalities between the ability of journals to attract attention. Therefore, we cannot guarantee that the most visible journals using quartiles are the preferred journals based on their impact on the development of the discipline. To illustrate this theoretical result, for the subject categories of Information Science & Library Science, and Computer Science, Artificial Intelligence (both in 2022), we found that the JIF quartiles do not reveal the impact classification of journals in a multivariate space of seven indicators.
Bracketing higher-order evidence in scholarly philosophical argumentation: why and which?
Authors: Königs Peter 
Published: February 2025

Abstract
Higher-order evidence, such as that arising from peer disagreement, is typically bracketed in scholarly argumentation. For instance, we do not challenge a philosophical position by noting that it is subject to peer disagreement. Two questions related to this phenomenon remain unresolved: 1) Why is scholarly argumentation governed by a norm against the use of higher-order evidence? 2) Which higher-order evidence is affected by this norm? This article argues, first, that the reason higher-order evidence is bracketed is not related to the sincerity with which we may hold our views, or to the promotion of cognitive diversity. Rather, it is due to the inconclusive nature of arguments based on higher-order evidence. Second, it argues that the ban on higher-order evidence extends to all types of higher-order evidence, not just a subset. The rationale behind banning higher-order evidence suggests that philosophical inquiry aims at solving philosophical questions with a high degree of conclusiveness, even if this aim might only be achieved in the far future.