bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early retirement intentions: the impact of employment biographies, work stress and health among a baby-boomer generation
Authors: Toczek Lisa , Bosma Hans , Peter Richard 
Published: September 2022

AbstractIn recent years, early retirement decisions have become more frequent in the European Union despite political efforts to prevent early retirement. This is a growing problem for the social security system. The study focuses on a life course approach using employment biographies and investigates the influence of work stress and health on early retirement intentions. Data of employees who were born in either 1959 or 1965 of the German cohort study on work, age, health and work participation are analysed (n = 3338). By linking survey and register data from 1993 to 2011, a sequence analysis is conducted to identify employment biographies. To analyse the relationship between the employment biographies and intended early retirement, a longitudinal path analysis is computed and includes work stress, measured through effort-reward imbalance, and self-rated health. The statistical analyses identify three adverse employment biographies, i.e. part-time work, episodes of unemployment or marginal employment. In addition, two favourable employment biographies are determined, characterised by full-time work and few episodes of unemployment. The results of the path analysis show that employment biographies with high work-related stress have early retirement intentions. Among adverse employment biographies, indirect effects of poor health on the association between work stress and early retirement intentions are found. Unexpectedly, among full-time workers, work stress is also associated with early retirement intentions with an additional mediation through health. The findings of this study highlight the importance of the life course perspective when analysing retirement decisions. In addition to health-promoting interventions in the labour market, effects of psychosocial factors should be focussed on in order to reduce early exits from the labour market.
Psychosocial Interventions and Support Groups for Siblings of Individuals with Neurodevelopmental Conditions: A Mixed Methods Systematic Review of Sibling Self-reported Mental Health and Wellbeing Outcomes
Authors: Wolff Brittany , Magiati Iliana , Roberts Rachel , Skoss Rachel , Glasson Emma J. 
Published: September 2022

AbstractSiblings of persons with neurodevelopmental conditions (NDCs) have increased risk of poorer psychosocial functioning. This systematic review evaluated quantitative and qualitative evidence on sibling mental health and wellbeing outcomes following psychosocial interventions and the risk and protective factors associated with post-intervention outcomes. From 2025 identified studies published from 1991 to 2022 across ten databases, 24 studies were included. The largest immediate post-intervention improvements were in self-esteem, social wellbeing and knowledge of NDCs. The most sustained improvements in intervention groups at follow-up periods were in emotional and behavioural adjustment and NDC knowledge. There were positive, but small, differences in favour of the intervention groups on knowledge of NDCs, self-esteem, coping and the sibling relationship as compared to waitlist control groups. Psychosocial interventions for siblings are heterogeneous, and more data, including consideration of unique family circumstances, are needed to improve reporting and replicability, to measure effectiveness and tailor necessary supports.
Is sitagliptin effective for SARS-CoV-2 infection: false or true prophecy?
Authors: Alomair Basil Mohammed , Al-kuraishy Hayder M. , Al-Buhadily Ali K. , Al-Gareeb Ali I. , De Waard Michel , Elekhnawy Engy , Batiha Gaber El-Saber 
Published: September 2022

AbstractCoronavirus disease 2019 (Covid-19) is caused by severe acute respiratory syndrome type 2 (SARS-CoV-2). Covid-19 is characterized by hyperinflammation, oxidative stress, and multi-organ injury (MOI) such as acute lung injury (ALI) and acute respiratory distress syndrome (ARDS). Covid-19 is mainly presented with respiratory manifestations; however, extra-pulmonary manifestations may also occur. Extra-pulmonary manifestations of Covid-19 are numerous including: neurological, cardiovascular, renal, endocrine, and hematological complications. Notably, a cluster of differentiation 26 (CD26) or dipeptidyl peptidase-4 (DPP-4) emerged as a new receptor for entry of SARS-CoV-2. Therefore, DPP-4 inhibitors like sitagliptin could be effective in treating Covid-19. Hence, we aimed in the present critical review to assess the potential role of sitagliptin in Covid-19. DPP-4 inhibitors are effective against the increased severity of SARS-CoV-2 infections. Moreover, DPP-4 inhibitors inhibit the interaction between DPP-4 and scaffolding proteins which are essential for endosome formation and replication of SARS-CoV-2. Therefore, sitagliptin through attenuation of the inflammatory signaling pathway and augmentation of stromal-derived factor-1 (SDF-1) may decrease the pathogenesis of SARS-CoV-2 infection and could be a possible therapeutic modality in treating Covid-19 patients. In conclusion, the DPP-4 receptor is regarded as a potential receptor for the binding and entry of SARS-CoV-2. Inhibition of these receptors by the DPP-4 inhibitor, sitagliptin, can reduce the pathogenesis of the infection caused by SARS-CoV-2 and their associated activation of the inflammatory signaling pathways.
Emotion Regulation in the Classroom: A Network Approach to Model Relations among Emotion Regulation Difficulties, Engagement to Learn, and Relationships with Peers and Teachers
Authors: De Neve Debbie , Bronstein Michael V. , Leroy An , Truyts Alex , Everaert Jonas 
Published: September 2022

AbstractEmotion regulation is theorized to shape students’ engagement in learning activities, but the specific pathways via which this occurs remain unclear. This study examined how emotion regulation mechanisms are related to behavioral and emotional engagement as well as relations with peers and teachers. The sample included 136 secondary school students (59,7% girls; Mage = 14.93, SDage = 1.02, range: 13–18 years). Psychometric network models revealed that difficulties in emotional awareness, emotional clarity, and access to emotion regulation strategies were differentially related to behavioral and emotional engagement, establishing an indirect link with teacher and/or peer relations. Nonacceptance of emotional responses, emotional awareness, and impulse control difficulties were uniquely related to teacher and/or peer relations, establishing an indirect link with student engagement. Causal discovery analysis suggested that student emotional engagement is an empirically-plausible direct cause of increased access to emotion regulation strategies. These findings uncover potential pathways through which emotion regulation hampers or facilitates learning at school, providing information useful for the design of school curricula and teacher training programs.
An extendable key space integer image-cipher using 4-bit piece-wise linear cat map
Authors: Gnyamsi Nkuigwa Gaetan Gildas , Djeugoue Nzeuga Hermann , Fouda J. S. Armand Eyebe , Sabat Samrat L. , Koepf Wolfram 
Published: September 2022

AbstractThis paper presents a multiplierless image-cipher, with extendable 2048-bit key-space, based on a 4-dimensional (4D) quantized piece-wise linear cat map (PWLCM). The quantized PWLCM exhibits limit-cycles of 4-bit encoded integers with periods greater than 107. The synthesis of the PWLCM in a finite state space allows to eliminate the undesirable finite precision effect due to the hardware realization. The proposed image-cipher combines chaos, modular arithmetic, and lattice-based cryptography to encrypt a color image by performing pixel permutation and diffusion in a single operation. Further, an image-dependent confusion operation based on an 8-bit 2D-PWLCM is performed on the whole image to enhance security. In order to increase the key-space without key duplication, 16 × 16 sub-images are modified using sub-keys of different lattice length vectors generated from the external key. Both simulations and security analyses confirm that the proposed algorithm can resist common cipher attacks, in addition to its advantages such as simplicity, ease of implementation on low-end processors and extensibility of key-space that allows it to easily adapt even for future post-quantum computing attacks.
Volume Growth and On-diagonal Heat Kernel Bounds on Riemannian Manifolds with an End
Authors: Grigor’yan Alexander , Sürig Philipp 
Published: September 2022

AbstractWe investigate heat kernel estimates of the form pt(x,x) ≥ cxt−α, for large enough t, where α and cx are positive reals and cx may depend on x, on manifolds having at least one end with a polynomial volume growth.
Simulating flash floods using remote sensing and GIS-based KW-GIUH hydrological model
Authors: Almasalmeh Omar , Mourad Khaldoon A. , Eizeldin Mohamed 
Published: September 2022

AbstractUnderstanding storm flow generation within arid wadis is challenging because of the absence of reliable long-term field measurements. This paper simulates the flash flood runoff within Wadi Billi, Egypt, using remote sensing and GIS-based KW-GIUH model considering the linkage between the watershed’s geomorphological characteristics and its hydrologic response. A morphometric database of 58 parameters for all aspects has been developed using GIS; then, at the sub-basin level, KW-GIUH model has been used to simulate the hydrological response for the storm event of 9thMarch 2014. The statistical analysis, using Pearson correlation, classified the morphometric parameters according to their hydrological contribution and showed that only 21 parameters are significant. The results lead to isolating the most effective morphometric parameters, and this could be used to optimize the mathematical equations of the hydrological models to be more realistic in representing the physical processes of flash floods. Defining the morphometric parameters at sub-basin level is essential to predict the damages and to forecast the water flow order, which helps in designing a sustainable stormwater system that can protect the downstream areas and use rainwater instead of discharging it to the ocean.
The late medieval and early modern ceramics in the city of Córdoba (Andalusia, Spain). Christian productions under the Islamic tradition
Authors: Valls Llorens Marta , Buxeda i Garrigós Jaume , Madrid i Fernández Marisol 
Published: September 2022

AbstractThe archaeological knowledge of the material culture in the city of Córdoba (Andalusia, Spain) during the late medieval and early modern periods is very scarce. Urban rescue excavations and archive sources evidence that the so-called Barrio de las Ollerías (potters’ quarter) was the main ceramic production area from the early medieval period until the end of the early modern period. Nevertheless, there is a total lack of archaeological and archaeometric studies since research has traditionally focused on Seville city and other production centres closer to the Atlantic Coast. However, archaeological and archaeometric studies concerning Islamic pottery have increased in Córdoba in the last years, although there is a lack of studies on the late medieval and early modern ceramic production. This article aims to contribute to filling this gap through an exhaustive study of the ceramic production of Córdoba in this period. As a first objective, studying the ceramics recovered from the workshops will enable us to define the chemical reference groups (RG). The second step will be the approach to the technology used by the potters for the elaboration of the different products. With these objectives in mind, 120 individuals have been chemically characterised using x-ray fluorescence analysis (XRF) and mineralogically through x-ray diffraction analysis (XRD). The sample includes tin-lead glazed vessels, coarse and cooking ware vessels, and storage and transport jars dated from the fifteenth to the eighteenth centuries.
Structural smoothing on mixed instantaneous phase energy for automatic fault and horizon picking: case study on F3 North Sea
Authors: Safari Mohammad Reza , Taheri Kioumars , Hashemi Hosein , Hadadi Ali 
Published: September 2022

AbstractToday, with the development of 3-D studies and the increase in seismic data volume, there is a growing need to expand interpretation techniques for achieving higher speed and accuracy of interpretation tasks. Determining seismic faults and horizons is vital to accomplish the process as one of the essential stages of data interpretation. With the recent development of computational methods in seismic interpretation and their benefits, different approaches have been promoted. The specialist can make the understanding much faster with higher accuracy. In this research, a fully automated dual horizon and fault selection approach in the presence of semi-vertical faults is presented using a structural smoothing condition. Geological faults make it challenging to map sedimentary layers appropriately which is targeted for review in this work. Unlike Image processing techniques that determine the location of faults only, the proposed approach gives the benefit of the estimated fault displacement. In this method, faults are modeled as a displacement vector field. Despite traditional methods (such as similarity and coherence), in this method, the vector field of the estimated fault displacement determines the displacement and its location. This vector field can be used for auto-determination of fault-related layers displacement. As a result, automatic horizon picking in the presence of such faults is possible, thereby simplifying the mapping of sedimentary layers.
Characterization of a heterogeneous carbonate reservoir by integrating electrofacies and hydraulic flow units: a case study of Kangan gas field, Zagros basin
Authors: Karimian Torghabeh Amir , Qajar Jafar , Dehghan Abnavi Ali 
Published: September 2022

AbstractReservoir characterization is one of the key stages in oil and gas exploration, appraisal, development, and optimal production. During the exploration phase, core analysis and well logging are basic information obtained after the pay zone identification. This study aims to integrate the concept of electrofacies (EFs) with hydraulic flow units (HFUs) to effectively characterize Permo–Triassic carbonate formations at the Kangan giant gas field in southwestern Iran. For this purpose, well log data collected from 10 drilled wellbores and 490 core data have been analyzed based on similar clusters and statistical features in which rock-type approaches were used in order to integrate petrophysical data with facies. In particular, we used a multi-resolution graph-based clustering (MRGC) method to determine EFs and the probability plot method, histogram analysis, and the plot of reservoir quality index versus the normalized porosity to identify HFUs. Based on the data, five electrofacies and six HFUs were identified. To establish a good connection between the electrofacies and the pay zones, we analyzed wells’ cross sections to compare lithology, production potential in each zone, rock type, and amount of shale and eventually to adapt facies to flow units and determine the best quality reservoir zone. The main difference between this work and other studies in the literature is adopting a systematic approach based on integrating the geology (via EFs analysis) and engineering examination (via HFUs) to accurately characterize the hydrocarbon-bearing formations. The results of this study help in rapid and cost-effective carbonate reservoir characterization by combining electrofacies clustering and HFU analysis based on core and log data, which are available and routine information in all oil/gas fields. This, in turn, assists in developing the field, using more appropriate production and EOR scenarios, and even locating proper perforation sites.
Influence of vehicle traffic on modal-based bridge monitoring
Authors: Kohm Mareike , Stempniewski Lothar , Stark Alexander 
Published: September 2022

AbstractIn recent years, there has been a surge of interest in modal-based monitoring systems, especially for bridge structures, to detect damage at an early stage and to extend the life of existing bridges as well as to minimize maintenance costs. The modal parameters, natural frequencies and mode shapes, depend on stiffness and mass of a structure. For an economic application of a modal-based monitoring system, the estimation of the modal parameters based on the Operational Modal Analysis needs to be estimated. The Operational Modal Analysis uses the naturally existing vibration sources, such as wind and traffic, to estimate the modal parameters. A significant advantage is therefore that the bridges do not have to be closed to traffic. In this context, the modal parameters are influenced by the vehicle traffic due to the associated temporally and spatially variable mass, stiffness and damping properties of the overall system. In this paper, the influence of those operational loads and road roughness on the modal parameter estimation is numerically investigated. The vehicles are modeled as half-vehicle models. In addition, the influence of vehicle traffic is shown using in situ measurements on an existing bridge. A high sensitivity of the natural frequencies to operational loads can be shown, so that they are not reliable damage identification parameters. In contrast, the mode shapes exhibit small amplitude scatter due to the operating loads if the excitation frequency is not in the range of the natural frequency of the bridge. This is very unlikely, especially for bridges under vehicle traffic, due to the variety of vehicle designs and thus the broadband excitation.
In search of the relationship between the rye polyamine oxidase (PAO) gene and resistance to powdery mildew (PM)
Authors: Milczarski Paweł , Góralska Magdalena , Pałatyńska Kinga , Wysoczański Bartłomiej , Czyczyło-Mysza Ilona , Maghuly Fatemeh , Myśków Beata 
Published: September 2022

Abstract Powdery mildew (PM), a common cereal disease in cultivated areas, including Europe and other temperate regions, is caused by the fungus Blumeria graminis. While PM is one of the most important wheat leaf diseases globally, rye is highly tolerant to PM. It has been reported that in barley infected with PM, polyamine oxidase (PAO) activity related to the production of hydrogen peroxide (H2O2) has increased, which may promote defense against biotrophic or hemibiotrophic pathogens. The current study aimed to assess the relationship between the segregation of the polymorphic marker for rye PAO (ScPAO) and the level of PM infection in plants. The genetic mapping in two interline populations shows that ScPAO is located on chromosome 7R. Further analysis comparing ScPAO location to mapped wheat (Triticum aestivum L.) PAO duplicates suggests the ScPAO homology with TaPAO6 or TaPAO7. A possible association of ScPAO from 7R with PM resistance is demonstrated in the recombinant inbred lines (RIL)-L population phenotyped for PM infection. Finally, three novel QTLs for PM resistance on the 7R chromosome of rye are detected.
What needs to happen for school autonomy to be mobilised to create more equitable public schools and systems of education?
Authors: Keddie Amanda , MacDonald Katrina , Blackmore Jill , Boyask Ruth , Fitzgerald Scott , Gavin Mihajla , Heffernan Amanda , Hursh David , McGrath-Champ Susan , Møller Jorunn , O’Neill John , Parding Karolina , Salokangas Maija , Skerritt Craig , Stacey Meghan , Thomson Pat , Wilkins Andrew , Wilson Rachel , Wylie Cathy , Yoon Ee-Seul 
Published: September 2022

AbstractThe series of responses in this article were gathered as part of an online mini conference held in September 2021 that sought to explore different ideas and articulations of school autonomy reform across the world (Australia, Canada, England, Ireland, the USA, Norway, Sweden and New Zealand). It centred upon an important question: what needs to happen for school autonomy to be mobilised to create more equitable public schools and systems of education? There was consensus across the group that school autonomy reform creates further inequities at school and system levels when driven by the logics of marketisation, competition, economic efficiency and public accountability. Against the backdrop of these themes, the conference generated discussion and debate where provocations and points of agreement and disagreement about issues of social justice and the mobilisation of school autonomy reform were raised. As an important output of this discussion, we asked participants to write a short response to the guiding conference question. The following are these responses which range from philosophical considerations, systems and governance perspectives, national particularities and teacher and principal perspectives.
Baire category results for stochastic orders
Authors: Durante Fabrizio , Fernández-Sánchez Juan , Ignazzi Claudio 
Published: September 2022

AbstractIn the sense of Baire categories, we prove that the elements of a typical pair of univariate distribution functions (defined on a bounded subset of$${\mathbb {R}}$$R) cannot be compared in the sense of the usual stochastic order, the increasing convex order and the mean residual lifetime order. A similar result is also proved in the class of copulas, i.e. multivariate distribution functions with standard uniform marginals, equipped with the orthant order.
Evaluation of the Applicability of Computer-Aided Porosity Testing Methods for Different Pore Structures
Authors: Kazup Ágota , Fegyverneki György , Gácsi Zoltán 
Published: September 2022

AbstractPorosity plays an important role in the properties of powder metallurgy products and castings. Nowadays, there are several methods for determining porosity: optical microscopy, computed tomography, and density measurement according to Archimedes’ principle. The aim of this study is to present the advantages and disadvantages of different porosity testing methods and the relationships between the results. With conventional metallographic methods, only two-dimensional information about pores is obtained. The accuracy of a three-dimensional CT examination is significantly affected by the resolution, the quality of the image, and the evaluation process. The porosities of aluminum (AlSi7MgCu0.5) reduced pressure test samples with different densities were determined on 3D x-ray images with the evaluation software VGStudio MAX 3.3 and on 2D section x-ray images and the optical microscope images with the image analysis software ImageJ. The effect of morphological transformation of 3D images and the role of the region of interest volume and area under examination are also discussed.