bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Participation in Adult Education on Life Satisfaction of Immigrants and Natives: A Longitudinal Analysis
Authors: Granderath Julia S. , Martin Andreas , Froehlich Laura 
Published: January 2021

AbstractBeyond formal education, continuing adult learning and education (ALE) is considered as successful means for supporting immigrants’ integration into the receiving society. Although recently, subjective parameters of immigrants’ integration (e.g., life satisfaction) have received increasing academic attention, research on the impact of education on subjective integration indicators is still rare. To address this, the present study contributes to the literature by investigating the effect of ALE participation on life satisfaction in a longitudinal design. The study compares the effect for the group of immigrants with the group of natives in order to estimate whether the potential education effect on life satisfaction is equally strong for both groups or stronger for the group of immigrants (interaction effect). For this, the study uses seven waves of panel data from the German National Educational Panel Study (NEPS) with N = 6386 individuals, of which N = 1002 individuals have a migration background. Methodologically, a Random Intercepts Cross-Lagged Panel Model is applied. This allows distinguishing within-person fluctuations from trait-like between-person differences. On the between-person level, we find a significant link between ALE participation and life satisfaction for both immigrants and natives. However, on the within-person level, no significant cross-lagged effects are observed. Moreover, we find no support for an immigrant-native gap in life satisfaction.
Exploring Emotion Recognition and the Understanding of Others’ Unspoken Thoughts and Feelings when Narrating Self-Experienced Emotional Events
Authors: Flykt Anders , Hörlin Tina , Linder Frida , Wennstig Anna-Karin , Sayeler Gabriella , Hess Ursula , Bänziger Tanja 
Published: January 2021

AbstractEmotion decoding competence can be addressed in different ways. In this study, clinical psychology, nursing, or social work students narrated a 2.5–3 min story about a self-experienced emotional event and also listened to another student’s story. Participants were video recorded during the session. Participants then annotated their own recordings regarding their own thoughts and feelings, and they rated recordings by other participants regarding their thoughts and feelings [empathic accuracy, EA, task]. Participants further completed two emotion recognition accuracy (ERA) tests that differed in complexity. The results showed that even though significant correlations were found between the emotion recognition tests, the tests did not positively predict empathic accuracy scores. These results raise questions regarding the extent to which ERA tests tap the competencies that underlie EA. Different possibilities to investigate the consequences of method choices are discussed.
Scaling up cycling or replacing driving? Triggers and trajectories of bike–train uptake in the Randstad area
Authors: Nello-Deakin Samuel , Brömmelstroet Marco te 
Published: January 2021

AbstractThe combined use of the bicycle and the train in the Netherlands has risen steadily over the past decade. However, little is yet known about the underlying processes driving the growth of bike–train use in the Netherlands. Are new bike–train trips replacing car trips, or are they primarily an extension of existing train travel and cycling practices? The present study investigates this question by exploring the main trajectories of bike–train uptake in the Randstad area. Following a mobility biographies approach, our study seeks to identify the triggers or “key events” which lead to the uptake of bike–train use, and explores their relationship with existing travel behaviour. To this end, we carried out an online survey aimed at people who started commuting regularly by bike–train. Our results show that trajectories of uptake are varied, with a similar proportion of respondents starting to commute by bike–train in order to replace cycling, driving and public transport. While in some cases people shifted to bike–train on their existing commuting trip, most respondents started travelling by bike–train following a change in work or residential location. Overall, our findings suggest that most people do not start commuting by bike–train out of particular preference, but merely because they consider it provides the best available option. Nevertheless, the large proportion of respondents with access to a car suggests that the bike–train system is able to provide an attractive alternative to car-based interurban mobility.
Comparison of whole genomes of tick-borne encephalitis virus from mountainous alpine regions and regions with a lower altitude
Authors: Lemhöfer G. , Chitimia-Dobler L. , Dobler G. , Bestehorn-Willmann M. 
Published: January 2021

AbstractTick-borne encephalitis (TBE) has been a notifiable disease in Germany since 2001. Its causative agent, the TBE virus (TBEV), is the most important arbovirus in Europe and Northern Asia. The illness, caused by the European Subtype usually displays flu-like symptoms, but can result in sequelae and, in 2 % of all cases, in death. Over the last few decades, the virus has spread into new habitats, such as higher altitudes in the Alpine region. For this study, it was hypothesized that the environmental challenges that the virus might be exposed to at such altitudes could lead to the selection of viral strains with a higher resilience to such environmental factors. To determine whether strains identified at higher altitudes possessed different genetic traits compared to viruses from lower altitudes, an analysis of viral genomes from higher Alpine altitudes (> 500 m above sea level) (n = 5) and lower altitudes (< 500 m above sea level) (n = 4) was performed. No common phylogenetic ancestry or shared amino acid substitutions could be identified that differentiated the alpine from the lowland viral strains. These findings support the idea of many individual introductions of TBEV into the alpine region and the establishment of foci due to non-viral specific factors such as favorable conditions for vector species and host animals due to climate change.
Nonconforming Dirichlet boundary conditions in implicit material point method by means of penalty augmentation
Authors: Chandra Bodhinanda , Singer Veronika , Teschemacher Tobias , Wüchner Roland , Larese Antonia 
Published: January 2021

AbstractIn many geomechanics applications, material boundaries are subjected to large displacements and deformation. Under these circumstances, the application of boundary conditions using particle methods, such as the material point method (MPM), becomes a challenging task since material boundaries do not coincide with the background mesh. This paper presents a formulation of penalty augmentation to impose nonhomogeneous, nonconforming Dirichlet boundary conditions in implicit MPM. The penalty augmentation is implemented utilizing boundary particles, which can move either according to or independently from the material deformation. Furthermore, releasing contact boundary condition, as well as the capability to accommodate slip boundaries, is introduced in the current work. The accuracy of the proposed method is assessed in both 2D and 3D cases, by convergence analysis reaching the analytical solution and by comparing the results of nonconforming and classical grid-conforming simulations.
Towards climate resilient peace: an intersectional and degrowth approach
Authors: Nicoson Christie 
Published: January 2021

AbstractHow can peace be climate resilient? How can peace and environmental sustainability be advanced simultaneously? To address these questions, I develop a new conceptual and theoretical framework for climate resilient peace through degrowth. This paper calls for stronger consideration of positive conceptualizations of peace and of intersectionality and degrowth in pursuit of peace and resilience. Not only does climate change make planetary limitations more salient, but it also highlights rising inequalities. In light of this, peace necessitates transforming societal power structures that are both driving climate change and influencing people’s experiences of climate impacts. Addressing imbalanced power structures then is key to understanding and fostering climate resilient peace. This paper conceptualizes climate resilient peace based on an intersectional understanding of positive peace, highlighting that peace depends on the negation of structural violence experienced at the intersection of political and social identities. In relation to this, I argue that a process of climate resilient peace must address underlying power structures influencing people’s experience of climate harms, and driving climate change so as to mitigate further damage. This paper demonstrates such a process through degrowth, wherein growth is no longer the central economic goal, exemplifying social and ecological means for disrupting structural violence within climate limitations. I discuss and give examples of three key degrowth processes—redistribution, reprioritized care economies, and global equity—as opportunities to foster peace in a changing climate. This framework, thus, contributes a new approach to climate resilient peace that addresses challenges of both social and environmental sustainability.
School Dropout Intention and Self-esteem in Immigrant and Native Students Living in Poverty: The Protective Role of Peer Acceptance at School
Authors: Bianchi Dora , Cavicchiolo Elisa , Lucidi Fabio , Manganelli Sara , Girelli Laura , Chirico Andrea , Alivernini Fabio 
Published: January 2021

AbstractThe psychological well-being at school of immigrant students living in poverty is currently an understudied topic in developmental psychology. This is an important shortcoming because this population, which is rapidly increasing in many western countries, is in a double minority condition and has a greater risk of experiencing psychological distress at school, in comparison with their native peers. In order to improve our understanding on this issue, the present two-wave study investigated the prospective relationships between peer acceptance and two aspects of well-being at school—intention to drop out of school and negative self-esteem—specifically focusing on the differential effect of having (vs. not having) an immigrant background. The participants were 249 preadolescents and adolescents living in poverty (Mage = 12.76; SDage = 2.34; 41.8% girls; 19.3% immigrants) who were attending educational centres for disadvantaged minors. The poverty status of the participants was an inclusion criterion. A multilinear regression model with multigroup analysis was tested. As expected, the results showed that peer acceptance had a significant negative association with school dropout intentions and negative self-esteem only for immigrants, but not for natives. For immigrant students, the protective effect of peer acceptance was comparable to the stability over time of dropout intention and self-esteem, a result that has promising implications for prevention programs. The applied implications of the study for educational and clinical contexts are discussed.
Evaluation of diosgenin content from eleven different Indian varieties of fenugreek and fenugreek leaf powder fortified bread
Authors: Paramesha Mahadevappa , Priyanka Nagbhushan , Crassina Kasar , Shetty Nandini Prasad 
Published: January 2021

AbstractThe present study designed to establish the diosgenin profile from eleven different Indian varieties of fenugreek, and subsequently develop powder from the best stage and variety to prepare diosgenin fortified bread. The seeds, sprouts and leaves of different fenugreek varieties were analyzed for the diosgenin using HPLC. The content of phenolics and flavonoids also estimated and assessed for its antioxidant capacity using phosphomolybdate, DPPH and FRAP. Among eleven varieties screened for diosgenin and the other compounds, tender leaf of Kasuri methi (KS) variety showed the highest content of diosgenin (466.89 ± 0.32 mg/100 g FW), phenolics (58.54 ± 2.70 mg/100 g FW) and flavonoids (1104.16 ± 43.70 mg/100 g FW) followed by Pusa Early Bunching (PEB) (444.18 ± 0.36 mg/100 g FW) and Early Bunching (EB) (409.45 ± 0.42 mg/100 g FW). Among three stages, seeds found to be a better total antioxidant, DPPH scavenging, and reducing ability. Further, based on the results, bread fortified with 1.5% KS leaf powder is found to be optimal which also has significant diosgenin content (268.91 mg/100 g DW). And the effect of KS leaf powder on amylograph and farinograph characteristics of wheat flour and quality characteristics of bread showed promising results of acceptance.
Adhesion and friction in hard and soft contacts: theory and experiment
Authors: Popov Valentin L. , Li Qiang , Lyashenko Iakov A. , Pohrt Roman 
Published: January 2021

AbstractThis paper is devoted to an analytical, numerical, and experimental analysis of adhesive contacts subjected to tangential motion. In particular, it addresses the phenomenon of instable, jerky movement of the boundary of the adhesive contact zone and its dependence on the surface roughness. We argue that the “adhesion instabilities” with instable movements of the contact boundary cause energy dissipation similarly to the elastic instabilities mechanism. This leads to different effective works of adhesion when the contact area expands and contracts. This effect is interpreted in terms of “friction” to the movement of the contact boundary. We consider two main contributions to friction: (a) boundary line contribution and (b) area contribution. In normal and rolling contacts, the only contribution is due to the boundary friction, while in sliding both contributions may be present. The boundary contribution prevails in very small, smooth, and hard contacts (as e.g., diamond-like-carbon (DLC) coatings), while the area contribution is prevailing in large soft contacts. Simulations suggest that the friction due to adhesion instabilities is governed by “Johnson parameter”. Experiments suggest that for soft bodies like rubber, the stresses in the contact area can be characterized by a constant critical value. Experiments were carried out using a setup allowing for observing the contact area with a camera placed under a soft transparent rubber layer. Soft contacts show a great variety of instabilities when sliding with low velocity — depending on the indentation depth and the shape of the contacting bodies. These instabilities can be classified as “microscopic” caused by the roughness or chemical inhomogeneity of the surfaces and “macroscopic” which appear also in smooth contacts. The latter may be related to interface waves which are observed in large contacts or at small indentation depths. Numerical simulations were performed using the Boundary Element Method (BEM).
Opening of the Fram Strait led to the establishment of a modern-like three-layer stratification in the Arctic Ocean during the Miocene
Authors: Hossain Akil , Knorr Gregor , Jokat Wilfried , Lohmann Gerrit 
Published: January 2021

AbstractThe tectonic opening of the Fram Strait (FS) was critical to the water exchange between the Atlantic Ocean and the Arctic Ocean, and caused the transition from a restricted to a ventilated Arctic Ocean during early Miocene. If and how the water exchange between the Arctic Ocean and the North Atlantic influenced the global current system is still disputed. We apply a fully coupled atmosphere–ocean–sea-ice model to investigate stratification and ocean circulation in the Arctic Ocean in response to the opening of the FS during early-to-middle Miocene. Progressive widening of the FS gateway in our simulation causes a moderate warming, while salinity conditions in the Nordic Seas remain similar. On the contrary, with increasing FS width, Arctic temperatures remain unchanged and salinity changes appear to steadily become stronger. For a sill depth of ~ 1500 m, we achieve ventilation of the Arctic Ocean due to enhanced import of saline Atlantic water through an FS width of ~ 105 km. Moreover, at this width and depth, we detect a modern-like three-layer stratification in the Arctic Ocean. The exchange flow through FS is characterized by vertical separation of a low-salinity cold outflow from the Arctic Ocean confined to a thin upper layer, an intermediate saline inflow from the Atlantic Ocean below, and a cold bottom Arctic outflow. Using a significantly shallower and narrower FS during the early Miocene, our study suggests that the ventilation mechanisms and stratification in the Arctic Ocean are comparable to the present-day characteristics.
Small and negative correlations among clustered observations: limitations of the linear mixed effects model
Authors: Nielsen Natalie M. , Smink Wouter A. C. , Fox Jean-Paul 
Published: January 2021

AbstractThe linear mixed effects model is an often used tool for the analysis of multilevel data. However, this model has an ill-understood shortcoming: it assumes that observations within clusters are always positively correlated. This assumption is not always true: individuals competing in a cluster for scarce resources are negatively correlated. Random effects in a mixed effects model can model a positive correlation among clustered observations but not a negative correlation. As negative clustering effects are largely unknown to the sheer majority of the research community, we conducted a simulation study to detail the bias that occurs when analysing negative clustering effects with the linear mixed effects model. We also demonstrate that ignoring a small negative correlation leads to deflated Type-I errors, invalid standard errors and confidence intervals in regression analysis. When negative clustering effects are ignored, mixed effects models incorrectly assume that observations are independently distributed. We highlight the importance of understanding these phenomena through analysis of the data from Lamers, Bohlmeijer, Korte, and Westerhof (2015). We conclude with a reflection on well-known multilevel modelling rules when dealing with negative dependencies in a cluster: negative clustering effects can, do and will occur and these effects cannot be ignored.
The CMS monitoring infrastructure and applications
Authors: Ariza-Porras Christian , Kuznetsov Valentin , Legger Federica 
Published: January 2021

AbstractThe globally distributed computing infrastructure required to cope with the multi-petabyte datasets produced by the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) at CERN comprises several subsystems, such as workload management, data management, data transfers, and submission of users’ and centrally managed production requests. To guarantee the efficient operation of the whole infrastructure, CMS monitors all subsystems according to their performance and status. Moreover, we track key metrics to evaluate and study the system performance over time. The CMS monitoring architecture allows both real-time and historical monitoring of a variety of data sources. It relies on scalable and open source solutions tailored to satisfy the experiment’s monitoring needs. We present the monitoring data flow and software architecture for the CMS distributed computing applications. We discuss the challenges, components, current achievements, and future developments of the CMS monitoring infrastructure.
Implementing an Integrated Large-Scale Clinical Information System for ISSSTE’s Hospital Network in Mexico
Authors: Cervantes Trejo Arturo , Domenge Treuille Sophie , Castañeda Alcántara Isaac 
Published: January 2021

AbstractThe Institute for Security and Social Services for State Workers (ISSSTE) is a large public provider of health care services that serve around 13.2 million Mexican government workers and their families. To attain process efficiencies, cost reductions, and improvement of the quality of diagnostic and imaging services, ISSSTE was set out in 2019 to create a digital filmless medical image and report management system. A large-scale clinical information system (CIS), including radiology information system (RIS), picture archiving and communication system (PACS), and clinical data warehouse (CDW) components, was implemented at ISSSTE’s network of forty secondary- and tertiary-level public hospitals, applying global HL-7 and Digital Imaging and Communications in Medicine (DICOM) standards. In just 5 months, 40 hospitals had their endoscopy, radiology, and pathology services functionally interconnected within a national CIS and RIS/PACS on secure private local area networks (LANs) and a secure national wide area network (WAN). More than 2 million yearly studies and reports are now in digital form in a CDW, securely stored and always available. Benefits include increased productivity, reduced turnaround times, reduced need for duplicate exams, and reduced costs. Functional IT solutions allow ISSSTE hospitals to leave behind the use of radiographic film and printed medical reports with important cost reductions, as well as social and environmental impacts, leading to direct improvement in the quality of health care services rendered.
Discrete element simulation of the charge in the hopper of a blast furnace, calibrating the parameters through an optimization algorithm
Authors: Degrassi Gabriele , Parussini Lucia , Boscolo Marco , Petronelli Nicola , Dimastromatteo Vincenzo 
Published: January 2021

AbstractThe purpose of this study is to simulate the distribution of a coarse granular material discharged in a hopper via a conveyor belt. This simulation is intended to be a model calibration for an optimization that will be later performed to obtain a proper material distribution device. From the hopper, the material is discharged in a blast furnace. Hence, achieving an adequate distribution in the hopper is crucial, since that distribution is directly linked to how the material spreads in the blast furnace, and this heavily influences the efficiency of the whole steel-making process. The apparatus is modeled by online three dimensional Computer-Aided Design software Onshape. Rocky DEM, a Computer-Aided Engineering software based on Discrete Element Method, is used to simulate the charge. The parameters of the numerical model are calibrated through an optimization algorithm. This phase is realized thanks to the optimization platform modeFRONTIER, using an algorithm that exploits meta-models to reduce the computational time of the optimization. By comparing the simulated results with the visual data obtained from blast furnace plant, the goal is to validate the model and to better understand the behavior of the whole charging process.