bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lived beliefs
Authors: Makihara Miki , Rodríguez Juan L. 
Published: April 2022

AbstractRapa Nui (Easter Island, Chile) poetry allows us to understand how lived beliefs can be central to the realization of the individual self in community. In this paper, we focus on the poetry of Mata-U’iroa Atan, a Rapa Nui poet who characterizes his political project as walking to fly like a bird. His poemKi Te Reva(‘To the Flag’) exemplifies a particular form of corporeal consciousness leading to a project of political persuasion. His poems are written in Rapa Nui, an indigenous Polynesian language and draw attention to sociolinguistic and historical “disjunctures” (Meek, 2010) in contemporary Rapa Nui community life. We argue that lived beliefs are produced by corporeal consciousness, and verbal art can be central to the mobilization of lived beliefs in the process of persuasion for emancipatory praxis. Poetry can give people an imagination, and this imagination is constitutive of a kind of truth underlying political projects.
‘We will show our strength!’: the independentists’ support for group-based hierarchy to guarantee and legitimate ingroup status-enhancement (‘¡Mostraremos nuestra fuerza!’: el apoyo de los independentistas a la jerarquía basada en el grupo para garantizar y legitimar la mejora del estatus del endogrupo)
Authors: Carvalho Catarina L. , Pinto Isabel R. , Páez Darío , Costa-Lopes Rui , Marques José M. 
Published: April 2022

We propose that support for group-based hierarchy among members of low-status or subordinate groups may be boosted by beliefs in future ingroup high status. Specifically, the more individuals believe their group may hold a higher status, the more they support hierarchical intergroup relations (i.e., high social dominance orientation; SDO), by boosting ingroup favouritism. In turn, SDO should be positively associated with collective action tendencies by increasing social competition intentions. Using samples from Catalonia ( N = 152) and the Basque Country ( N = 262), results showed that independence supporters’ beliefs in future ingroup status enhancement reinforced participants’ SDO, through nationalist sentiments (i.e., ingroup bias) but not through patriotism in the Catalan sample, and directly in the Basque sample. In turn, SDO increased collective actions towards independence by reinforcing individuals’ motivation to compete with the opponent dominant outgroup (Madrid region), especially in the Catalan sample. We discuss the implications of considering situational and contextual factors to better understand individuals’ support for group-based hierarchies and inequality.
High school students’ sexist beliefs about academic abilities and women’s roles: the influence of school specialization (Creencias sexistas de los estudiantes de enseñanza secundaria sobre las aptitudes académicas y el rol de las mujeres: la influencia de la especialización escolar)
Authors: Sáinz Milagros , Gallego María-Carmen 
Published: April 2022

The present study analyses the influence of gender and type of baccalaureate pathway on students’ beliefs about the respective abilities of girls and boys in gender-congruent subjects, controlling for ambivalent sexism. Eight hundred and sixty-six students ( M = 17.5, SD = 0.83) enrolled in the second course of high school participated. Students on the science pathway were more likely to believe that boys perform better in maths, physical science and technology, and that girls perform better in literature, biology and languages. Boys and girls in gender-congruent pathways were more likely to consider boys to have greater abilities in maths, physical science and technology, whereas girls in languages, biology and literature. Moreover, students’ attitudes towards boys’ ability to perform better in maths, physical science and technology depended to a great extent on ambivalent sexist attitudes, whereas students’ sexist attitudes regarding girls’ greater abilities in literature, biology and languages depended on benevolent sexist attitudes alone.
Numerical analysis of thermo-fluid problems in 3D domains by means of the RBF-FD meshless method
Authors: Zamolo Riccardo , Miotti Davide , Nobile Enrico 
Published: April 2022

Abstract
The use of CAE (Computer Aided Engineering) software, commonly applied to the design and verification of a great variety of manufactured products, is totally reliant on accurate numerical simulations. Classic mesh-based methods, e.g., Finite Element (FEM) and Finite Volume (FVM), are usually employed for such simulations, where the role of the mesh is crucial for both accuracy and time consumption issues. This is especially true for complex 3D domains which are typically encountered in most practical problems. Meshless, or meshfree, methods have been recently introduced in order to replace the usual mesh with much simpler node distributions, thus purifying the data structures of any additional geometric information. Radial Basis Function-Finite Difference (RBF-FD) meshless methods have been shown to be able to easily solve problems of engineering relevance over complex-shaped domains with great accuracy, with particular reference to fluid flow and heat transfer problems. In this paper the RBF-FD method is employed to solve heat transfer problems with incompressible, steady-state laminar flow over 3D complex-shaped domains. The required node distributions are automatically generated by using a meshless node generation algorithm, which has been specifically developed to produce high quality node arrangements over arbitrary 3D geometries. The presented strategy represents therefore a fully-meshless approach for the accurate and automatic simulation of thermo-fluid problems over 3D domains of practical interest.
Severe accident sensitivity and uncertainty estimation using MELCOR and RAVEN
Authors: D’Onorio M. , Giampaolo A. , Giannetti F. , Mascari F. , Caruso G. 
Published: April 2022

Abstract
Today, using a best-estimate approach is a key factor in the simulation and prediction of thermal-hydraulic and other multi-physics phenomena occurring during nuclear severe accidents. The best-estimate approach requires the quantification of both epistemic and stochastic uncertainties of safety codes to be effective. This safety assessment approach, named Best Estimate Plus Uncertainty (BEPU), is being pursued as an alternative to traditional deterministic analyses that are intrinsically conservative with not clearly defined safety margins. While in a conservative approach, the results are expressed in terms of a set of calculated conservative values of parameters, in a best-estimate methodology, the results are expressed in terms of uncertainty ranges for the calculated parameters. The International Technical Nuclear Community has made great efforts to develop methods and tools for uncertainty and sensitivity analyses of severe accident codes. In this framework, Sapienza University of Rome has developed a new Python script to use RAVEN as a tool for the application of the BEPU methods within the safety analyses performed with MELCOR. The aim of this paper is to show the capabilities of the coupling between RAVEN and MELCOR by performing a statistical analysis to estimate the range of evolution of a severe accident scenario.
Effect of real temperature data on the seasonal coefficient of performance of air source heat pumps
Authors: Ballerini Vincenzo , Dongellini Matteo , Rossi di Schio Eugenia , Valdiserri Paolo 
Published: April 2022

Abstract
In this paper, a transient analysis is performed in order to evaluate how effective climate data affect the determination of the seasonal coefficient of performance of ASHPs. Three Italian cities, characterized by different climates, are considered as reference case studies and the influence of real meteorological data, collected from different years, on the heat pump SCOP is performed. The analysis is carried out by employing the dynamic software TRNSYS. Numerical results show small variations in SCOP, while a significant influence on annual thermal energy demand can be observed. The analysis also underlines the absence of a general correlation between annual thermal energy supplied by the heat pump and SCOP and between HDD and SCOP.
Entraining of dust and steam flux in water pool: experimental and numerical simulations of vapor condensation and dust deposition
Authors: Ibba Miriam , Pesetti Alessio , Raucci Michele , Berti Luca , Giambartolomei Guglielmo , Aquaro Donato 
Published: April 2022

Abstract
This paper deals with experimental tests of steam condensation in a water pool at atmospheric pressure and temperature in the range 15-100 °C. The activity is performed in the frame of a research program, funded by the ITER organization, for the study of dust deposition, produced in the ITER Vacuum Vessel and entrained by the steam and non condensable gas into the Pressure Suppression Tanks in the case of a Loss of Coolant Accident. The steam condensation into a subcooled water pool has been investigated to characterise the condensation regimes occurring during dust deposition tests. The dust distribution on the tank walls strongly depends on the steam jet length and on the effective heat transfer coefficient. Few grams of dust reduce the water transparency, therefore separated tests without dust overcome this drawback. Measurements of the lengths and surfaces of the steam jets (which permit to calculate effective average heat transfer) have been performed by means of image analyses and have been compared with theoretical correlations. The comparison showed a good agreement between the experimental data and theoretical correlations. Useful data have been obtained for implementing numerical models of dust deposition and for understanding the dust distribution on the tank wall obtained in the experimental tests.
Experimental Analysis of Steam Condensation Heat Transfer Coefficient in Water Pool at Sub-Atmospheric Pressure
Authors: Pesetti A. , Merello C. , Giambartolomei G. , Raucci M. , Aquaro D. 
Published: April 2022

Abstract
The experimental analysis of steam direct contact condensation in a water pool at sub-atmospheric condition was carried out in relevant configurations for the International Thermonuclear Experimental Reactor (ITER) Vacuum Vessel Pressure Suppression System, during a postulated Ingress of Coolant Event category IV accidental scenario. This transient accident was experimentally simulated in a reduced scale (1:22) facility at University of Pisa, adopting a defined scaling law. The steam jet plumes were video recorded and image analysis was performed at stable and interfacial oscillation condensation regimes, providing steam plume average length and interfacial area. The average heat transfer coefficient was therefore computed and correlated to the condensation driving potential. Also, the steam jet length divided by orifice diameter (L/D) was characterised as function of driving potential. Empirical correlations available in literature at atmospheric conditions were modified for evaluating vacuum conditions peculiarities. The remarkable higher dependence of heat transfer coefficient (HTC) to driving potential parameter, at vacuum conditions, was highlighted by the driving potential exponent equal to 1.2 instead of 0.04 at ambient pressure. The obtained L/D and HTCcorrelations are able to predict with ± 15% and ± 30% of error the corresponding experimental data, respectively.
Spectral-sensitive proton radiography of thin samples with the pixel detector Timepix3
Authors: Olsansky V. , Granja C. , Oancea C. , Mackova A. , Havranek V. , Chvatil D. , Bila J. 
Published: April 2022

Abstract
We evaluate a high-resolution contrast-enhanced method for energy-sensitive radiography of thin samples with low-energy protons at the light-ion Tandetron accelerator of the NPI-CAS in Rez near Prague. We make use of the high-sensitivity of the hybrid semiconductor pixel detectors Timepix enabled by integrated per-pixel signal processing electronics. For this work we use the Timepix3 ASIC chip equipped with a 500 µm Si sensor operated with the fast data rate AdvaPix readout electronics interface. Measurements are performed in air with a 2.9 MeV proton microbeam on thin samples (<100 µm thick). As referential and testing sample we use a set of aluminum foils stacked into a closely packed assembly of varying layers of well-defined thickness. This and other samples were imaged and placed in front of the detector in transmission geometry. Radiographies were collected with focused beam (few mm size) and a microbeam (few µm size). The imaging principle is based on high-resolution spectrometry of single transmitted particles. Contrast is obtained by registration of small differences in the deposited energy of the proton after passing through the sample. This can be measured in wide-range by detailed spectral-tracking analysis of the pixelated clusters in the pixel detector. We examine and evaluate various cluster-track parameters sensitive for imaging contrast such as deposited energy, cluster area (number of pixels) and cluster height (maximum energy value of the pixels in the cluster). The position of interaction in the detector is registered in sub-pixel resolution down to few µm scale for the particles and geometry used. Radiographies are reconstructed based on these individual parameters imaged in image bins of adjustable size (few µm up to few tens of µm). The technique developed with different cluster parameters is presented together with evaluation of image contrast sensitivity on various types of samples and beam energies.
3D bioprinting of osteon-mimetic scaffolds with hierarchical microchannels for vascularized bone tissue regeneration
Authors: Sun Xin , Jiao Xin , Yang Xue , Ma Jie , Wang Tianchang , Jin Wenjie , Li Wentao , Yang Han , Mao Yuanqing , Gan Yaokai , Zhou Xiaojun , Li Tao , Li Shuai , Chen Xiaodong , Wang Jinwu 
Published: April 2022

Abstract
The integration of three-dimensional (3D) bioprinted scaffold’s structure and function for critical-size bone defect repair is of immense significance. Inspired by the basic component of innate cortical bone tissue—osteons, many studies focus on biomimetic strategy. However, the complexity of hierarchical microchannels in the osteon, the requirement of mechanical strength of bone, and the biological function of angiogenesis and osteogenesis remain challenges in the fabrication of osteon-mimetic scaffolds. Therefore, we successfully built mimetic scaffolds with vertically central medullary canals, peripheral Haversian canals, and transverse Volkmann canals structures simultaneously by 3D bioprinting technology using polycaprolactone and bioink loading with bone marrow mesenchymal stem cells and bone morphogenetic protein-4. Subsequently, endothelial progenitor cells were seeded into the canals to enhance angiogenesis. The porosity and compressive properties of bioprinted scaffolds could be well controlled by altering the structure and canal numbers of the scaffolds. The osteon-mimetic scaffolds showed satisfactory biocompatibility and promotion of angiogenesis and osteogenesis in vitro and prompted the new blood vessels and new bone formation in vivo. In summary, this study proposes a biomimetic strategy for fabricating structured and functionalized 3D bioprinted scaffolds for vascularized bone tissue regeneration.
Analysis of machining characteristics in electrical discharge machining of SiC and Al2O3 reinforced AA6061 hybrid metal matrix composites using Taguchi and ANOVA techniques
Authors: Haja Syeddu Masooth P , Bharathiraja G , Jayakumar V , Palani Kumaran 
Published: April 2022

Abstract
In this study, the machining behaviour of aluminium alloy (AA6061)/10% aluminium oxide (Al2O3)/10% silicon carbide (SiC) hybrid metal matrix composites was analyzed by Electric Discharge Machining (EDM). The stir casting method was used to fabricate the composite in a volume percentage of 80, 10, and 10 for AA6061, Al2O3 and SiC, respectively. The specimen was prepared in the size of 30 mm in diameter and 12 mm in thickness from the fabricated composite by the Wire-cut Electric Discharge Machining (WEDM) process. The fabricated specimens were machined using EDM by varying the input parameters of pulse-ON time (T–ON) in μs, pulse-OFF time (T–OFF) in μs, and gap current (GC) in amps at three different levels. The design of the experiment by the Taguchi method was used with the L9 orthogonal array. The impact of process parameters on output variables such as Surface Roughness (SR), Machining Time (MT) and Material Removal Rate (MRR) was studied, and an Analysis of Variance (ANOVA) was carried out to identify the most influencing parameter. The GC is observed as the significant input parameter on SR and MT as the percentage contribution of 33% and 47%, respectively. T–ON is identified as more significant than other parameters on MRR as the percentage contribution is 47%. The results show that T–ON time of 12 μs, T–OFF time of 4 μs, and GC of 14 amps yield the least value of 3.304 μm for SR, 12 min for MT, and a higher value of 0.037 mm3 min−1 for MRR.
Effect of electromagnetic stirring current on microstructure and corrosion resistance of Al–Sn Alloy
Authors: Li Shuhao , Guo Hongbin , Li Yongliang , Wen Zirou , Zhu Zhiyun 
Published: April 2022

Abstract
Al-Sn bearing alloys were prepared with different electromagnetic stirring (EMS) currents. Electrochemical and immersion corrosion experiments were carried out on the samples. Optical microscope, SEM, EDS, and XPS were used to characterize the samples to study the effect of stirring current on the microstructure and corrosion properties of the alloy. The results show that the structure of the sample without EMS is all dendrites. With the increase of stirring current, the number of primary phase agglomerates is less and the grain size decreases. When the stirring parameter is 60A, 20Hz, the grain size is the most round and small, and the stirring effect is the best. In the later stage of immersion, the corrosion product film formed on the surface is more dense and uniform, which can effectively block the erosion of ions in the solution. The equivalent circuit fitting calculation shows that the
R

total

value is the largest, which is 1.79 × 106 Ω·cm2, and the corrosion resistance is the best.
A viewpoint on ecological and evolutionary study of plant thermal performance curves in a warming world
Authors: Wooliver Rachel , Vtipilthorpe Emma E , Wiegmann Amelia M , Sheth Seema N 
Published: April 2022

Abstract
We can understand the ecology and evolution of plant thermal niches through thermal performance curves (TPCs), which are unimodal, continuous reaction norms of performance across a temperature gradient. Though there are numerous plant TPC studies, plants remain under-represented in syntheses of TPCs. Further, few studies quantify plant TPCs from fitness-based measurements (i.e. growth, survival and reproduction at the individual level and above), limiting our ability to draw conclusions from the existing literature about plant thermal adaptation. We describe recent plant studies that use a fitness-based TPC approach to test fundamental ecological and evolutionary hypotheses, some of which have uncovered key drivers of climate change responses. Then, we outline three conceptual questions in ecology and evolutionary biology for future plant TPC studies: (i) Do populations and species harbour genetic variation for TPCs? (ii) Do plant TPCs exhibit plastic responses to abiotic and biotic factors? (iii) Do fitness-based TPCs scale up to population-level thermal niches? Moving forward, plant ecologists and evolutionary biologists can capitalize on TPCs to understand how plasticity and adaptation will influence plant responses to climate change.
Effects of postoperative cognitive training on neurocognitive decline after heart surgery: a randomized clinical trial
Authors: Butz Marius , Gerriets Tibo , Sammer Gebhard , El-Shazly Jasmin , Tschernatsch Marlene , Huttner Hagen B , Braun Tobias , Boening Andreas , Mengden Thomas , Choi Yeong-Hoon , Schoenburg Markus , Juenemann Martin 
Published: April 2022

Abstract

OBJECTIVES
Following cardiac surgery, postoperative cognitive decline (POCD) is a common complication that can impair the quality of life and increase mortality. The aim of this study was to investigate whether early postoperative cognitive training can decrease POCD after cardiac surgery.

METHODS
The study was a multi-centred, two-arm, randomized (1:1 ratio), controlled trial involving older patients undergoing elective heart valve surgery with extracorporeal circulation. Recruitment took place at the Department of Cardiac Surgery of the Kerckhoff-Clinic in Bad Nauheim (Germany) and the University-Hospital in Giessen (Germany). The patients were randomized to either a paper-and-pencil-based cognitive training group or a standard rehabilitation care control group. The cognitive training started 1 week after surgery and lasted about 3 weeks until discharge from rehabilitation. To detect POCD, neuropsychological functions were assessed prior to surgery, upon discharge from rehabilitation (primary outcome), and 3 months after discharge (secondary outcome). Data were primarily analysed in a per-protocol fashion.

RESULTS
The frequency of POCD at discharge from rehabilitation (training group, n = 37; control group, n = 44) was 50% in the control group and 19% in the training group (χ2[1] = 8.45, P = 0.004; odds ratio = 4.29, 95% confidence interval [1.56–11.80]). Three months after the cognitive training (training group, n = 33; control group, n = 34), POCD frequency was 29% in the control group and 6% in the training group (χ2[1] = 6.21, P = 0.013; odds ratio = 6.46, 95% confidence interval [1.29–32.28]).

CONCLUSIONS
Since our cognitive training showed beneficial effects, it could be a promising method to prevent POCD.
Systemic resilience and COVID-19: lessons from Taiwan
Authors: Wang Victoria Y 
Published: April 2022

Abstract
In May 2021, Taiwan experienced its first COVID-19 surge. Up until then, this geopolitically vulnerable nation had contained the pandemic well. The situation seemed dire at the peak of the surge, however, within two months, the crisis had been resolved. Aside from technical measures such as border control and mandated social distancing, other underlying systemic factors- including an accreditation-strengthened and digitalized healthcare system, government resourcefulness, and continuously adaptive strategies- were crucial to Taiwan’s success, and have demonstrated the importance of systemic resilience in terms of navigating the pandemic.