bluuebunny/crossref_metadata_2025_split huggingface dataset:
Put your feet up: The impact of personality traits, job pressure, and social support on the need for recovery after work
Authors: Fostervold Knut Inge , Watten Reidulf G. 
Published: March 2022

AbstractThe need for recovery after work (NFR) is an important warning of work-related fatigue. NFR is linked to prolonged work-related efforts and depletion of resources, creating a need for temporary respite from work demands. The aim of the current study was to investigate the relationships between NFR and the five-factor model (FFM), comprising the personality traits of emotional stability (ES), extraversion (E), agreeableness (A), conscientiousness (C), and openness to experience (O). Perceived job pressure and perceived social support were included as mediators. The study was conducted using structural equation modelling (SEM) on cross-sectional data from a sample of 681 participants from several work sectors (N females = 376, N males = 305; M age = 46.9 years; SD = 11.1). The results showed that NFR was affected both directly and indirectly by FFM traits. High ES and high O contributed directly to reduced and increased NFR, respectively. High perceived social support contributed to reduced NFR, while high perceived job pressure contributed to increased NFR. High ES contributed indirectly to reduced NFR through perceived job pressure and social support, high O contributed indirectly to increased NFR through perceived social support, and high E contributed indirectly to increased NFR through perceived job pressure. A and C were not related to NFR. The findings demonstrate that personality traits, especially ES, are firmly related to NFR and highlight the importance of incorporating personality factors into studies of work environmental factors on NFR.
Three-Dimensional Digital Reconstruction of the Cerebellar Cortex: Lobule Thickness, Surface Area Measurements, and Layer Architecture
Authors: Zheng Junxiao , Yang Qinzhu , Makris Nikos , Huang Kaibin , Liang Jianwen , Ye Chenfei , Yu Xiaxia , Tian Mu , Ma Ting , Mou Tian , Guo Wenlong , Kikinis Ron , Gao Yi 
Published: March 2022

Abstract
The cerebellum is ontogenetically one of the first structures to develop in the central nervous system; nevertheless, it has been only recently reconsidered for its significant neurobiological, functional, and clinical relevance in humans. Thus, it has been a relatively under-studied compared to the cerebrum. Currently, non-invasive imaging modalities can barely reach the necessary resolution to unfold its entire, convoluted surface, while only histological analyses can reveal local information at the micrometer scale. Herein, we used the BigBrain dataset to generate area and point-wise thickness measurements for all layers of the cerebellar cortex and for each lobule in particular. We found that the overall surface area of the cerebellar granular layer (including Purkinje cells) was 1,732 cm2 and the molecular layer was 1,945 cm2. The average thickness of the granular layer is 0.88 mm (± 0.83) and that of the molecular layer is 0.32 mm (± 0.08). The cerebellum (both granular and molecular layers) is thicker at the depth of the sulci and thinner at the crowns of the gyri. Globally, the granular layer is thicker in the lateral-posterior-inferior region than the medial-superior regions. The characterization of individual layers in the cerebellum achieved herein represents a stepping-stone for investigations interrelating structural and functional connectivity with cerebellar architectonics using neuroimaging, which is a matter of considerable relevance in basic and clinical neuroscience. Furthermore, these data provide templates for the construction of cerebellar topographic maps and the precise localization of structural and functional alterations in diseases affecting the cerebellum.
A Re-evaluation of Wetland Carbon Sink Mitigation Concepts and Measurements: A Diagenetic Solution
Authors: Gallagher John Barry , Zhang Ke , Chuan Chee Hoe 
Published: March 2022

AbstractThe capacity of wetlands to mitigate greenhouse gas (GHG) emissions is the sum of two services: the protection of vulnerable organic stocks from remineralisation, and the capacity to sequester GHGs relative to their anthropogenic replacements. Organic carbon accumulation (CA) down through the sediment column is often taken as the measure of sequestration because of its capacity to record long-term variability and trends. However, we demonstrate that: i) CA is not equivalent to sequestration as net ecosystem production (NEP) for open systems; it requires the subtraction of the initial deposition rate of labile allochthonous carbon sources; ii) CA also requires subtraction of intrinsically allochthonous recalcitrants down through the sediment column, and together with subtraction of autochthonous recalcitrants from organic stock services; iii) CA as a climatic mitigation service also requires a diagenetic correction, as the annual deposition of labile organic carbon continues to remineralise over the long-term; and iv) preserving of a wetland has a significantly greater mitigation potential than restoring one. To address the above concerns, a global diagenetic solution is proposed, applied and tested for a tropical seagrass and mangrove. As expected, traditional CA estimates were disproportionately larger than their respective diagenetically modelled NEPs, and together with stocks fell within the ranges reported in the literature, with a final carbon accreditation highly dependent on the choice of their anthropogenic replacements. The review demonstrates that mitigation concepts and measurements for natural carbon sequestration solutions require re-evaluation to avoid GHG emissions above their capacity or reduce the ability to fulfil emission targets.
On the injectivity estimation in foam EOR
Authors: Quinelato Thiago O. , de Paula Filipe F. , Igreja Iury , Lozano Luis F. , Chapiro Grigori 
Published: March 2022

AbstractIn this work, we study injectivity issues caused by the use of the Peaceman equation in the numerical simulation of chemical enhanced oil recovery (EOR) processes aimed at reducing fluid mobility, such as foam injection, on coarse grids. Employing analytical solutions, we demonstrate that the Peaceman equation, commonly applied to mathematical modeling of the injectivity in commercial simulators, leads to errors of more than two orders of magnitude in the injection well pressure drop when the foam flow effects near the well are considered for assuming homogeneous mobility in a coarse-well block. To circumvent this issue, we investigate numerical treatments focused on the grid of well blocks through local grid partitioning strategies (radial and Cartesian) to improve the injection well bottom-hole pressure (BHP) estimation. This methodology does not change the input data nor the injectivity model characteristics of the commercial simulator. It does not significantly affect the computational cost of the simulation, since the grid treatment occurs only in the blocks containing the wells. Thus, the radial and Cartesian grid partitioning for the well block are compared using the STARS simulator. Our results show the clear capability of the methodology to reduce the well BHP overestimation, mitigating the errors caused by the Peaceman equation. Indeed, in some simulated scenarios, the BHP overestimation was reduced a hundredfold after applying the partitioning technique. Furthermore, we discuss the choice of simulation parameters leading to more accurate and numerically stable results.
Influencing factors and microscopic formation mechanism of phase transitions of microemulsion system
Authors: Dongqi Wang , Daiyin Yin , Junda Wang , Yazhou Zhou , Chengli Zhang 
Published: March 2022

AbstractAs a surfactant solution system, microemulsion has attracted much attention due to its ultra-low interfacial tension, high solubilization and thermodynamic stability in the process of enhanced oil recovery. Different from water phase system of polymer flooding and ASP flooding, the microemulsion system shows a special phase state, and its existence system may be water phase, oil phase or microemulsion phase. The microemulsion phase can be divided into upper phase, middle phase and lower phase microemulsion according to the composition of the system. Different phase microemulsions have different oil displacement efficiency, and the middle phase microemulsion reaches ultra-low interfacial tension with oil/water, and the oil displacement efficiency is the highest. In order to ensure the middle-phase microemulsion flooding as far as possible during the oil displacement process, it is necessary to study the phase change process of microemulsion and the formation conditions of microemulsion in detail, and clarify the influence of surfactant concentration, additive concentration, salt content, water–oil ratio and temperature on the microemulsion phase transformation and the formation mechanism of microemulsion. The research results have some guiding significance for the formulation selection and slug design of microemulsion flooding system.
Hydrodynamic Performance of A Porous-Type Land-Fixed Oscillating Water Column Wave Energy Converter
Authors: Mayon Robert , Ning De-zhi , Zhang Chong-wei , Johanning Lars 
Published: March 2022

AbstractA hybrid, porous breakwater—Oscillating Water Column (OWC) Wave Energy Converter (WEC) system is put forward and its hydrodynamic performance is investigated using the fully nonlinear, open-source computational fluid dynamics (CFD) model, OpenFOAM. The permeable structure is positioned at the weather side of the OWC device and adjoined to its front wall. A numerical modelling approach is employed in which the interstices within the porous structure are explicitly defined. This permits the flow field development within the porous structure and at the OWC front wall to be observed. The WEC device is defined as a land-fixed, semi-submerged OWC chamber. A range of regular incident waves are generated at the inlet within the numerical tank. The OWC efficiency and the forces on the structure are examined. Results are compared for the simulation cases in which the porous component is present or absent in front of the OWC chamber. It is found that the incorporation of the porous component has minimal effect on the hydrodynamic efficiency of the OWC, reducing the efficiency by less than 5%. Nevertheless, the forces on the front wall of the OWC can be reduced by up to 20% at the higher wave steepness investigated, through inclusion of the porous structure at the OWC front wall. These findings have considerable implications for the design of hybrid OWC—breakwater systems, most importantly in terms of enhancing the durability and survivability of OWC WECs without significant loss of operational efficiency.
From struggle to opportunity: Reimagining medical education in a&nbsp;pandemic era
Authors: Burm Sarah , Luong Victoria , LaDonna Kori , Bogie Bryce , Cowley Lindsay , Klasen Jennifer M. , MacLeod Anna 
Published: March 2022

The COVID-19 pandemic has disrupted the international medical education community in unprecedented ways. The restrictions imposed to control the spread of the virus have upended our routines and forced us to reimagine our work structures, educational programming and delivery of patient care in ways that will likely continue to change how we live and work for the foreseeable future. Yet, despite these interruptions, the pandemic has additionally sparked a transformative impulse in some to actively engage in critical introspection around the future of their work, compelling us to consider what changes could (and perhaps should) occur after the pandemic is over. Drawing on key concepts associated with scholar Paulo Freire’s critical pedagogy, this paper serves as a call to action, illuminating the critical imaginings that have come out of this collective moment of struggle and instability, suggesting that we can perhaps create a more just, compassionate world even in the wake of extraordinary hardship.
Modeling the devolatilization and fragmentation of biomass pellets with the bonded particle method for fluidized bed applications
Authors: Jarolin Kolja , Dymala Timo , Heinrich Stefan , Dosta Maksym 
Published: March 2022

AbstractBy extending the bonded particle method, the major structural changes during the devolatilization of a wood pellet in a fluidized bed and the resulting mechanical behavior have been successfully reproduced. A comparison with experiments from the literature showed that the implemented particle-based pyrolysis model enables predicting the entire pellet’s kinetics with a high agreement. The developed shrinkage model for the particles and bonds further allowed to emulate the reported formation of a large-scale pore network inside the pellet. The simulation of a radial compression test with the predicted structure showed good agreement with experimental data and could confirm the importance of the pores for the mechanical behavior. The results demonstrated that the large pores cause the fragmentation of agglomerates already at low mechanical loads which could promote attrition. In general, the results have shown that the developed extension of the bonded particle method allows studying and predicting the behavior of a single pellet during conversion inside a fluidized bed gasification reactor in more detail.
Risk factors on testicular function in adolescents
Authors: Cargnelutti F. , Di Nisio A. , Pallotti F. , Spaziani M. , Tarsitano M. G. , Paoli D. , Foresta C. ,   Talent Group
Published: March 2022

Abstract
Purpose
Adolescence represents an important window for gonadal development. The aim of this review is to carry out a critical excursus of the most recent literature on endogenous and exogenous risk factors related to testicular function, focusing the research on adolescence period.

Methods
A comprehensive literature search within PubMed was performed to provide a summary of currently available evidence regarding the impact on adolescence of varicocele, cryptorchidism, cancer, diabetes, lifestyle factors, endocrine disruptors, obesity and sexually transmitted diseases. We focused on human studies that evaluated a possible impact of these factors on puberty timing and their effects on andrological health.

Results
Evidence collected seems to suggest that andrological health in adolescence may be impaired by several factors, as varicocele, cryptorchidism, and childhood cancer. Despite an early diagnosis and treatment, many adolescents might still have symptoms and sign of a testicular dysfunction in their adult life and at the current time it is not possible to predict which of them will experience andrological problems. Lifestyle factors might have a role in these discrepancies. Most studies point out towards a correlation between obesity, insulin resistance, alcohol, smoking, use of illegal drugs and testicular function in pubertal boys. Also, endocrine disruptors and sexually transmitted diseases might contribute to impair reproductive health, but more studies in adolescents are needed.

Conclusion
According to currently available evidence, there is an emerging global adverse trend of high-risk and unhealthy behaviors in male adolescents. A significant proportion of young men with unsuspected and undiagnosed andrological disorders engage in behaviors that could impair testicular development and function, with an increased risk for later male infertility and/or hypogonadism during the adult life. Therefore, adolescence should be considered a key time for intervention and prevention of later andrological diseases.
Fuzzy efficiency evaluation in relational network data envelopment analysis: application in gas refineries
Authors: Tabatabaei Somayeh , Mozaffari Mohammad Reza , Rostamy-Malkhalifeh Mohsen , Hosseinzadeh Lotfi Farhad 
Published: March 2022

AbstractIn contrast to classical data envelopment analysis (DEA), network DEA has attention to the internal structure of a production system and reveals the relationship between the efficiency of system and efficiencies of the processes. However, the flexibility of weights and the need for crisp input and output data in the evaluation process are two major shortcomings of classical network DEA models. This paper presents a common weights approach for a relational network DEA model in a fuzzy environment to measure the efficiencies of the system and the component processes. The proposed approach first finds upper bounds on input and output weights for a given cut level and then it determines a common set of weights (CSW) for all decision-making units (DMUs). Hence, the fuzzy efficiencies of all processes and systems for all DMUs are obtained based on the resulting CSW. The developed fuzzy relational network DEA and the proposed common weights approach are illustrated with a numerical example. The obtained results confirm that the fuzzy data affects over the efficiency scores and complete ranking of DMUs. The applicability of the proposed network model is illustrated by performance evaluation of gas refineries in Iran.
Industry 4.0 Foundry Data Management and Supervised Machine Learning in Low-Pressure Die Casting Quality Improvement
Authors: Uyan Tekin Ç. , Otto Kevin , Silva Maria Santos , Vilaça Pedro , Armakan Elvan 
Published: March 2022

AbstractLow-pressure die cast (LPDC) is widely used in high performance, precision aluminum alloy automobile wheel castings, where defects such as porosity voids are not permitted. The quality of LPDC parts is highly influenced by the casting process conditions. A need exists to optimize the process variables to improve the part quality against difficult defects such as gas and shrinkage porosity. To do this, process variable measurements need to be studied against occurrence rates of defects. In this paper, industry 4.0 cloud-based systems are used to extract data. With these data, supervised machine learning classification models are proposed to identify conditions that predict defectives in a real foundry Aluminum LPDC process. The root cause analysis is difficult, because the rate of defectives in this process occurred in small percentages and against many potential process measurement variables. A model based on the XGBoost classification algorithm was used to map the complex relationship between process conditions and the creation of defective wheel rims. Data were collected from a particular LPDC machine and die mold over three shifts and six continuous days. Porosity defect occurrence rates could be predicted using 36 features from 13 process variables collected from a considerably small sample (1077 wheels) which was highly skewed (62 defectives) with 87% accuracy for good parts and 74% accuracy for parts with porosity defects. This work was helpful in assisting process parameter tuning on new product pre-series production to lower defectives.
The occupation space: network structure, centrality and the potential of labor mobility in the French labor market
Authors: Joyez Charlie , Laffineur Catherine 
Published: March 2022

AbstractThis article presents the Occupation Space, a weighted and directed network of occupations built from an extensive database that tracks French workers employment trajectories between 2003 and 2015. In this network, the links between occupations stands for the easiness to switch from one occupation to another that we interpret as being a good proxy for skill proximity between occupations. The article first describes the structural characteristics of the network. We show that some occupations offer workers important redeployment possibilities to other occupations. Then we use information on the centrality of occupations in the network to analyze its correlation with wage premium and unemployment duration. Our results show that the network-based index of centrality is informative of the sources of several labor market outcomes and inequalities.
Narrative sozioökonomischer Ungleichheit. Ein Überblick
Authors: Smith Ochoa Christopher , Yildiz Taylan 
Published: March 2022

ZusammenfassungDer Band versammelt neuere Beiträge der sozialwissenschaftlichen Ungleichheitsdiskussion. Ausgangspunkt ist die Überzeugung, dass Ungleichheit nicht nur einensozialen Zustanddarstellt, den es quantitativ zu erklären gilt, sondern auch einenErfahrungsgegenstandmarkiert, der verstanden werden muss. Dieses Motiv zentriert sich um den Begriff des Narrativs, der neuerdings auch in der Ökonomie immer mehr dazu genutzt wird, die wirklichkeitskonstruierende Kraft der Sprache in den Blick zu bekommen. Der Band ist in drei Teile gegliedert. Zunächst wird das Problem der Validität des Erzählens aus der Perspektive der Datenforschung behandelt. Im zweiten Teil kommen Beiträge zu Wort, die sich mit erzählerischer Legitimitätsbildung auseinandersetzen, bevor der abschließende Teil dann mit empirischen Untersuchungen in diesem Feld abschließt.
Coupling magnetite and goethite nanoparticles with sorbent materials for olive mill wastewater remediation
Authors: Odeh Fadwa , Abu-Dalo Muna , Albiss Borhan , Ghannam Noor , Khalaf Aya , Amayreh Hiba H. , Al Bawab Abeer 
Published: March 2022

AbstractThis work aimed at treating OMW by developing an environmentally friendly and cost-effective media capable of removing phenolic compounds upon the interaction between magnetic nanoparticles and sorbent material such as zeolite. Magnetite (Fe3O4) and goethite (FeO(OH)) nanoparticles were prepared using the microemulsion method by using dimethylene-1,2-bis (dodecyl dimethyl ammonium bromide) (CTAB) as a surfactant. The prepared nanoparticles had magnetic properties. X-Ray Diffraction (XRD), and Transmission Electron Microscope (TEM) were used for the structural and morphological characterization. The average crystalline sizes for magnetite and goethite obtained from TEM were 7–16 and 5–14 nm, respectively. The nanocomposite media of magnetite and goethite with zeolite were prepared via coupling natural Jordanian zeolite with magnetic nanoparticles using two approaches; mixing and coating. The adsorption process of phenolic compounds was analyzed by the direct photometric method after treating real samples with nanocomposite media at different conditions. In the batch experiment, the optimum conditions were percent of media to OMW 3%, contact time 3 days, pH of 5, and room temperature. Results revealed that the percent removal of phenolic compounds was 79% and 80% for magnetite/zeolite and goethite/zeolite, respectively using the mixing approach, while with coating approach of magnetite/zeolite, the percentage removal was 75%. A significant improvement of % removal from 61 to 93% was observed with the new composite media of granular activated carbon (GAC) with various percentages to the (Fe3O4, FeO(OH)/zeolite) even at pH of 3.