bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heat Transfer Through Grass: A Diffusive Approach
Authors: van der Linden Steven J. A. , Kruis Maarten T. , Hartogensis Oscar K. , Moene Arnold F. , Bosveld Fred C. , van de Wiel Bas J. H. 
Published: May 2022

AbstractHeat transport through short and closed vegetation such as grass is modelled by a simple diffusion process. The grass is treated as a homogeneous ‘sponge layer’ with uniform thermal diffusivity and conductivity, placed on top of the soil. The temperature and heat-flux dynamics in both vegetation and soil are described using harmonic analysis. All thermal properties have been determined by optimization against observations from the Haarweg climatological station in The Netherlands. Our results indicate that both phase and amplitude of soil temperatures can be accurately reproduced from the vegetation surface temperature. The diffusion approach requires no specific tuning to, for example, the daily cycle, but instead responds to all frequencies present in the input data, including quick changes in cloud cover and day–night transitions. The newly determined heat flux at the atmosphere–vegetation interface is compared with the other components of the surface energy balance at this interface. The budget is well-closed, particularly in the most challenging cases with varying cloud cover and during transition periods. We conclude that the diffusion approach (either implemented analytically or numerically) is a physically consistent alternative to more ad hoc methods, like ‘skin resistance’ approaches for vegetation and bulk correction methods for upper soil heat storage. However, more work is needed to evaluate parameter variability and robustness under different climatological conditions. From a numerical perspective, the present representation of vegetation allows for both slow and rapid feedbacks between the atmosphere and the surface. As such, it would be interesting to couple the present surface parametrization to turbulence-resolving models, such as large-eddy simulations.
Hydrophobisation of lignocellulosic materials part I: physical modification
Authors: Rodríguez-Fabià Sandra , Torstensen Jonathan , Johansson Lars , Syverud Kristin 
Published: May 2022

AbstractThis review is the first part of a comprehensive review of hydrophobisation of lignocellulosic materials. The purpose of this review has been to compare physical hydrophobisation methods of lignocellulosic materials. We have compared molecular physical adsorption with plasma etching and grafting. Adsorption methods are facile and rely upon the simple mixing or coating of the substrate with the hydrophobing agent. However, none of the surfactant-based methods reviewed here reach contact angles above 90°, making them unsuitable for applications where a high degree of hydrophobisation is required. Nevertheless, surfactant based methods are well suited for compatibilising the lignocellulosic material with a hydrophobic matrix/polymer in cases where only a slight decrease in the hydrophilicity of the lignocellulosic substrate is required. On the other hand, wax- and lignin-based coatings can provide high hydrophobicity to the substrates. Plasma etching requires a more complex set-up but is relatively cheap. By physically etching the surface with or without the deposition of a hydrophobic coating, the material is rendered hydrophobic, reaching contact angles well above 120°. A major drawback of this method is the need for a plasma etching set-up, and some researchers co-deposit fluorine-based layers, which have a negative environmental impact. An alternative is plasma grafting, where single molecules are grafted on, initiated by radicals formed in the plasma. This method also requires a plasma set-up, but the vast majority of hydrophobic species can be grafted on. Examples include fatty acids, silanes and alkanes. Contact angles well above 110° are achieved by this method, and both fluorine and non-toxic species may be used for grafting.
Graphical abstract
Bringing the home into school: learning and connecting through mathematics education during the time of a pandemic
Authors: Hunter Jodie , Hunter Roberta , Tupouniua John , Leach Generosa 
Published: May 2022

AbstractThe COVID-19 pandemic brought with it a new way of being in a changed and uncertain world. Aotearoa/New Zealand took a well-being approach and in turn, we share the positive outcomes which resulted for some low socio-economic schools and communities in relation to teacher learning and relationships with families. In this article, we report on how teachers and schools connected with diverse students and their families during the period of remote learning. We draw on the responses from 20 teachers and school leaders who participated in interviews. Following the wider government focus, schools took a well-being first approach which led to increased connections and positive home/school relationships. The results highlight how a disruptive event such as COVID-19 can also be a time to focus on strengths of diverse communities and gain insights. We demonstrate that while focusing on mathematics, teachers and school leaders gained insights related to their students’ funds of knowledge and saw opportunities for learning for students, parents, and the teachers themselves.
Sedentary behavior and cancer–an umbrella review and meta-analysis
Authors: Hermelink Rafael , Leitzmann Michael F. , Markozannes Georgios , Tsilidis Kostas , Pukrop Tobias , Berger Felix , Baurecht Hansjörg , Jochem Carmen 
Published: May 2022

AbstractSeveral systematic reviews and meta-analyses have summarized the association between sedentary behavior (SB) and cancer. However, the level of evidence and the potential for risk of bias remains unclear. This umbrella review summarized the current data on SB in relation to cancer incidence and mortality, with a particular emphasis on assessing the risk of bias. We searched PubMed, Web of Science and Cochrane Database for systematic reviews and meta-analyses on the association between SB and cancer incidence and mortality. We also searched for recent observational studies not yet included in existing meta-analyses. We re-calculated summary risk estimates for cancer incidence and mortality using random effects models. We included 14 meta-analyses covering 17 different cancer sites from 77 original studies. We found that high SB levels increase the risk for developing ovarian, endometrial, colon, breast, prostate, and rectal cancers, with relative risks of 1.29 (95% confidence interval (CI) = 1.08–1.56), 1.29 (95% CI = 1.16–1.45), 1.25 (95% CI = 1.16–1.33), 1.08 (95% CI = 1.04–1.11), 1.08 (95% CI = 1.00–1.17), and 1.07 (95% CI = 1.01–1.12), respectively. Also, we found an increased risk of cancer mortality of 1.18 (95% CI = 1.09–1.26). Most associations between SB and specific cancer sites were supported by a “suggestive” level of evidence. High levels of SB are associated with increased risk of several types of cancer and increased cancer mortality risk.
Aggressive behaviour in the skyhoppers of the Australian Alps
Authors: Muschett Giselle E. , Painting Christina J. , Herberstein Marie E. , Umbers Kate D. L. 
Published: May 2022

AbstractThe evolution of male-male aggression is of interest because at its extreme it can be very energetically costly, leave males vulnerable to preadtors, and give rise to weaponry such as exaggerated traits. In grasshoppers (Acrididae), one group stands out as exceptionally aggressive, the skyhoppers (Kosciuscola) in which males bite, kick, mandible flare, and wrestle each other for access to females or when females are laying eggs. In this study we asked whether there is variation in aggressive behaviour among four skyhopper species and aimed to determine whether the traits used in fighting bear signatures of sexual selection in their size, variability, and allometric scaling. We found clear differences in the numbers and types of aggressive behaviours among species. Kosciuscola tristis and K. usitatus were the most aggressive, K. cognatus was the least aggressive, and K. tristis was the only species that performed the ‘mandible flare’ behaviour. Mandible size was larger among the three species that showed aggressive behaviour, all except K. cognatus, and was negatively allometric for all species possibly suggesting a functional size constraint. Pronotum size was different among most species and K. tristis’ pronotum was the largest and borderline positively allometric perhaps suggesting that pronotum size is related to aggressive behaviour but the nature of that relationship remains obscured. Our study suggests that further work investigates skyhoppers’ aggressive behaviour and how it varies with ecology, and paves the way for establishing them as a model system in the evolution of aggressive behaviour.
Oxygen consumption in relation to current velocity and morphology in the highly invasive crayfish Procambarus clarkii
Authors: Rubio-Gracia Francesc , Galobart Cristina , Benejam Lluís , Martí Bernat , Rubio Angel , Vila-Gispert Anna 
Published: May 2022

AbstractThe red swamp crayfish (Procambarus clarkii) is the most widely spread freshwater crayfish worldwide. Competing physiological traits can influence invasion success in any given environment by limiting the available scope for aerobically demanding activities. While high flows have been associated with reduced crayfish movement upstream, the effects of flow alteration on their metabolic demands have been largely overlooked. In this study, we estimated routine metabolic rate (RMR) at rest and oxygen consumption rates of crayfish under different current velocities in a flume respirometer, while maximum metabolic rate (MMR) was determined using the exhaustive chase protocol. We also measured some morphometric variables in males and females of crayfish. Oxygen uptake substantially increased with crayfish size and current velocity due to increased energy expenditure to overcome drag and hold a stationary position. Sexual dimorphism in morphological traits did not lead to sexual differences in oxygen uptake. Moreover, we found that individuals operated close to their maximum aerobic capacity at elevated current velocities (≥ 25 cm s−1). This suggested that the high flow-driven energetic demand may compromise the energy available for reproduction, growth and dispersal, thereby affecting overall fitness. These metabolic constraints could partly explain the failed invasions of invasive crayfish in fast-flowing waters.
On the function of saṁhitā in the Saṁhitā Upaniṣad
Authors: Majcher Stephanie A. 
Published: May 2022

AbstractThe Saṁhitā Upaniṣad [SU] is a little-known Vedic text that presents ‘typical’ Upaniṣadic teachings on the truth of identity alongside seemingly out-of-place descriptions of rites used to protect oneself against enemies and even against death. The difference between these contents is striking, but what it has to tell us about the SU’s main concerns is vulnerable to historical and text critical methods that rely on structure, style, and linguistic archaism to divide texts into discrete strata. What if the modern text critical practice of individually identifying and classifying textual contents obscures the use and meaning of the word saṁhitā in the SU? Is it possible that the SU’s diverse contents are intrinsically related? This article explores these questions through a close examination of a sequence of passages illustrating the contrast that has led previous scholars to see the SU as miscellaneous in character and lacking internal coherence. Through this examination, I identify a wider context for saṁhitā in the specific relationship the SU depicts between the person (puruṣa) and speech (vāc). I argue that the SU’s treatment of saṁhitā draws upon an understanding of recitation in the perspective of one’s vulnerability and the dynamics involved in developments of personhood. These findings allow the SU to emerge as an intriguing and coherent text that merits closer examination and establishes a promising approach for the study of the R̥gvedic Āraṇyakas.
Biopolymer treatment of ammonium-rich industrial effluents for the mass cultivation of microalgae
Authors: Refaay Dina A. , Hussein Mervat H. , Abdel-Hamid Mohmmed I. , Shabaan Sami A. , Mohammad Doaa M. 
Published: May 2022

AbstractAlthough wastewater reutilization for microalgae culturing can meet the dual goals of wastewater treatment and biomass production, some effluents with high contaminant concentrations are toxic to microalgae, necessitating pretreatment protocols to lower the toxicity before bioremediation. The present study aimed to bioremediate the industrial effluents of El Delta Co. for Fertilizers and Chemical Industries (Mansoura, Egypt), using sodium alginate as a pretreatment to enable reuse as a growth medium for microalgae culturing. Various water quality parameters signified the inferior state of the effluent with an ammonia-N concentration of 185.76 mg L−1. Toxicity investigations of the raw industrial effluents revealed toxicity to Chlorella sorokiniana, Scenedesmus vacuolatus and Pseudokirchneriella subcapitata. Effluent bioremediation was adopted using different concentrations of the biopolymer sodium alginate, and 1.0 g L−1 sodium alginate resulted in the highest removal of both ammonia-N and heavy metals. Chlorella sorokiniana and S. vacuolatus successfully grew in the 1.0 g L−1 alginate-treated effluent. Chlorella sorokiniana removed 87.8% of the ammonia-N, 75% of the copper, and 100% of the phosphorus. Scenedesmus vacuolatus consumed 85.7% of the ammonia-N, 66.7% of the copper, and 100% of the phosphorus. Adjusting the N:P mass ratio to 9.9 resulted in high tolerance of C. sorokiniana and S. vacuolatus to the effluent toxicity, with an EC50 > 100%. The 1.0 g L−1 sodium alginate-treated effluent stimulated C. sorokiniana and S. vacuolatus growth relative to the control. Additionally, C. sorokiniana and S. vacuolatus had the highest biomass production and protein content, reaching 1.42 and 0.74 g L−1 and 57.04 ± 0.04% and 52.19 ± 0.02%, respectively, in the treated effluent. Therefore, it was concluded that this bioremediation approach using the 1.0 g L−1 alginate pretreatment followed by microalgal cultivation (C. sorokiniana and S. vacuolatus) successfully treated the industrial effluent, representing a promising protocol for bioremediation practices.
Moment magnitude (Mw) from hydrophone records of low energy volcanic quakes
Authors: Guardato Sergio , Donnarumma Gian Paolo , Riccio Rosario , Del Pezzo Edoardo , Iannaccone Giovanni 
Published: May 2022

AbstractEarthquake magnitude calibration using hydrophone records has been carried out at Campi Flegrei caldera, an active area close to the highly populated area of Naples city, partly undersea. Definite integrals of the hydrophone records amplitude spectra, between the limits of 1 and 20 Hz, were calculated on a set of small volcano-tectonic earthquakes with moment magnitudes ranging from 1 to 3.3. The coefficients of a linear relationship between the logarithm of these integrals and the magnitude were obtained by linear optimization, thus defining a useful equation to calculate the moment magnitude from the hydrophone record spectra. This method could be easily exported to other volcanic areas, where submerged volcanoes are monitored by networks of hydrophones and seismic sensors on land. The proposed approach allows indeed magnitude measurements of small magnitude earthquakes occurring at sea, thus adding useful information to the seismicity of these volcanoes.
Enhancing Title V Workforce Capacity to Address Complex Challenges: Impact of the National Maternal and Child Health Workforce Development Center
Authors: Coffey Alexandria M. , Powis Laura , Mullenix Amy , Rivero Vanessa , Evans Shara , Fatima Hiba , Fleming W. Oscar , Lich Kristen Hassmiller , Orton Stephen , Cilenti Dorothy , Margolis Lewis 
Published: May 2022

Abstract
Introduction
The National Maternal and Child Health Workforce Development Center provides training, coaching, and consultation to Title V programs. The flagship experience is the Cohort program, a 6-8-month leadership development program where Title V programs convene a multisector team to address a pre-selected state/jurisdictional challenge related to health systems transformation. The overall objective of this paper is to demonstrate the impact of skills developed via the Cohort program on state/jurisdictional capacities to address complex challenges.

Methods
Qualitative, post-Cohort evaluation data were analyzed using inductive and deductive coding and the “Sort and Sift, Think and Shift” method. Themes and supporting text were summarized using episode profiles for each team and subsequently organized using the EvaluLEAD methodology for identifying and documenting impact.

Results
Teams brought an array of challenges related to health systems transformation and 94% of teams reported achieving progress on their challenge six-months after the Cohort program. Teams described how the Cohort program improved workforce skills in strategic thinking, systems thinking, adaptive leadership, and communication. Teams also reported the Cohort program contributed to stronger partnerships, improved sustainability of their project, produced mindset shifts, and increased confidence. The Cohort program has also led to improved population health outcomes.

Discussion
Through working with the Center, Title V leaders and their teams achieved episodic, developmental, and transformative results through application of Center tools and skills to complex challenges. Investment in the MCH workforce through skill development is critical for achieving transformative results and solving “wicked” public health problems.
Preprint citation practice in PLOS
Authors: Bertin Marc , Atanassova Iana 
Published: May 2022

AbstractThe role of preprints in the scientific production and their part in citations have been growing over the past 10 years. In this paper we study preprint citations in several different aspects: the progression of preprint citations over time, their relative frequencies in relation to the IMRaD structure of articles, their distributions over time, per preprint database and per PLOS journal. We have processed the PLOS corpus that covers 7 journals and a total of about 240,000 articles up to January 2021, and produced a dataset of 8460 preprint citation contexts that cite 12 different preprint databases. Our results show that preprint citations are found with the highest frequency in the Method section of articles, though small variations exist with respect to journals. The PLOS Computational Biology journal stands out as it contains more than three times more preprint citations than any other PLOS journal. The relative parts of the different preprint databases are also examined. While ArXiv and bioRxiv are the most frequent citation sources, bioRxiv’s disciplinary nature can be observed as it is the source of more than 70% of preprint citations in PLOS Biology, PLOS Genetics and PLOS Pathogens. We have also compared the lexical content of preprint citation contexts to the citation content to peer-reviewed publications. Finally, by performing a lexicometric analysis, we have shown that preprint citation contexts differ significantly from citation contexts of peer-reviewed publications. This confirms that authors make use of different lexical content when citing preprints compared to the rest of citations.
Theory of Cosmic Ray Transport in the Heliosphere
Authors: Engelbrecht N. Eugene , Effenberger F. , Florinski V. , Potgieter M. S. , Ruffolo D. , Chhiber R. , Usmanov A. V. , Rankin J. S. , Els P. L. 
Published: May 2022

AbstractModelling the transport of cosmic rays (CRs) in the heliosphere represents a global challenge in the field of heliophysics, in that such a study, if it were to be performed from first principles, requires the careful modelling of both large scale heliospheric plasma quantities (such as the global structure of the heliosphere, or the heliospheric magnetic field) and small scale plasma quantities (such as various turbulence-related quantities). Here, recent advances in our understanding of the transport of galactic cosmic rays are reviewed, with an emphasis on new developments pertaining to their transport coefficients, with a special emphasis on novel theoretical and numerical simulation results, as well as the CR transport studies that employ them. Furthermore, brief reviews are given of recent progress in CR focused transport modelling, as well as the modelling of non-diffusive CR transport.
Feature-oriented clone and pull operations for distributed development and evolution
Authors: Hinterreiter Daniel , Linsbauer Lukas , Prähofer Herbert , Grünbacher Paul 
Published: May 2022

AbstractSoftware companies frequently customize and extend product lines in multiple projects concurrently to quickly deliver solutions to customers. Engineers use a distributed and feature-oriented development process, commonly supported by version control systems to track implementation-level changes. For instance, feature branches are widely used to add new or modify existing features. However, when merging back features to the product line, the information about feature-to-code mappings is usually lost. Furthermore, the granularity of merging is limited to branches, making it hard to extract and merge selected individual features from one product to another. This paper thus presents feature-oriented clone and pull operations for distributed development, which are implemented in the FORCE2 platform. Our evaluation uses variants of the ArgoUML product line to investigate the correctness and performance of our approach. The results show that the feature-oriented operations work with high precision and recall for different cases of feature interactions, also when feature implementations are scattered across many locations in the source code. The performance measurements demonstrate that the operations can be integrated in the typical workflows of engineers.
The node-wise Pseudo-marginal method: model selection with spatial dependence on latent graphs
Authors: Thesingarajah Denishrouf , Johansen Adam M. 
Published: May 2022

AbstractMotivated by problems from neuroimaging in which existing approaches make use of “mass univariate” analysis which neglects spatial structure entirely, but the full joint modelling of all quantities of interest is computationally infeasible, a novel method for incorporating spatial dependence within a (potentially large) family of model-selection problems is presented. Spatial dependence is encoded via a Markov random field model for which a variant of the pseudo-marginal Markov chain Monte Carlo algorithm is developed and extended by a further augmentation of the underlying state space. This approach allows the exploitation of existing unbiased marginal likelihood estimators used in settings in which spatial independence is normally assumed thereby facilitating the incorporation of spatial dependence using non-spatial estimates with minimal additional development effort. The proposed algorithm can be realistically used for analysis of moderately sized data sets such as 2D slices of whole 3D dynamic PET brain images or other regions of interest. Principled approximations of the proposed method, together with simple extensions based on the augmented spaces, are investigated and shown to provide similar results to the full pseudo-marginal method. Such approximations and extensions allow the improved performance obtained by incorporating spatial dependence to be obtained at negligible additional cost. An application to measured PET image data shows notable improvements in revealing underlying spatial structure when compared to current methods that assume spatial independence.