bluuebunny/crossref_metadata_2025_split huggingface dataset:
Internet of Samples
Authors: Richard Stephen M. , Vieglais Dave , Cui Hong , Davies Neil , Deck John , Gan Quan , Kansa Eric C , Kansa Sarah Whitcher , Kunze John , Mandel Danny , Meyer Christopher , Orrell Thomas , Ramdeen Sarah , Snyder Rebecca , Walls Ramona L , Zhou Yuxuan , Lehnert Kerstin 
Published: October 2021

AbstractMaterial samples are indispensable data sources in many natural science, social science, and humanity disciplines. More and more researchers recognize that samples collected in one discipline can be of great value for another. This has motivated organizations that manage a large number of samples to make their holdings accessible to the world. Currently, multiple projects are working to connect natural history and other samples managed by individual institutions or individuals into a universe of samples that follow FAIR principles. This poster reports the progress of the US NSF‐funded iSamples project, in the context of other efforts initiated by US DOE, DiSCCo, BCoN, and GBIF. By October 2021, we will also be able to present an iSamples prototype. We encourage individual organizations that hold material samples to get to know these projects and help shape these projects to realize the goal of a global linked sample cloud that connects all material samples and is accessible to all.
Static hazards of container filling
Authors: Britton Laurence G. , Walmsley Harold L. 
Published: October 2021

AbstractThe maximum filling rates recommended by IEC and NFPA for conductive intermediate bulk containers (IBC) conflict with each other and take no account of the filling pipe diameter. A model previously developed to predict maximum liquid surface potentials in medium tanks was re‐derived using analytical approximation rather than curve fitting techniques and modified for application to conductive containers. Physically consistent flow rate limits are given for all sizes of container. Relative to the 25 kV hazardous potential threshold, IEC's flow velocity limit of 2 m/s theoretically provides a large safety factor for IBC filling that increases linearly from 2 to 5 as the inside diameter of the filling pipe decreases from 78 to 27 mm. However, because potential varies with the inverse cube of pipe diameter, the safety factor provided by NFPA's flow rate limit of 225 L/min diminishes from 8 to 1/2 over the same range and surface potentials exceed 25 kV for filling pipe diameters below about 35 mm. The model is extended to address elevated dielectric constants and practical guidance is provided for different filling pipe options. We also warn of specific practices that could increase the likelihood of a fire or explosion.
How to make your dust hazard analysis make a difference
Authors: Jeffries Kevin N. , Wincek John C. , Stetsovsky Vladimir 
Published: October 2021

AbstractThe first true deadline for conducting dust hazard analyses (DHAs) has come and gone. But what has been learned, and how can the DHA be used to make a difference in safety? Successful strategies have been developed to fully utilize the lessons from a DHA to reduce the risks of combustible dust fires and explosions. Using the lessons already learned by others can reduce the resources required to successfully implement and sustain recommendations, as well as increase the efficiency with which the recommendations are resolved. This article will describe how to utilize the outcomes of a DHA to successfully improve the safety and management systems for your combustible dust process. Topics to be covered include: (1) solving problematic issues common in combustible dust processes; (2) using interim solutions; (3) prioritizing recommendations to address the highest risks first, balanced with achieving the largest risk reduction in the shortest amount of time; (4) developing pragmatic solutions to resolving DHA recommendations and reducing risk; and (5) documenting and managing information to prepare for your 5‐year DHA revalidation.
Optimal robust formation control for heterogeneous multi‐agent systems based on reinforcement learning
Authors: Yan Bing , Shi Peng , Lim Cheng‐Chew , Shi Zhiyuan 
Published: October 2021

AbstractIn this article, a reinforcement learning (RL)‐based robust control strategy is proposed for uncertain heterogeneous multi‐agent systems to achieve optimal collision‐free time‐varying formations. Without using any global information, a fully distributed adaptive observer is developed to estimate both dynamics and states of the reference and disturbance systems. The observer parameters are found by an observed model‐based or a model‐free off‐policy RL algorithm. Using the internal model principle, a novel optimal robust formation control strategy is developed based on another proposed off‐policy RL algorithm. The algorithm addresses the nonquadratic optimization problem when the system model is completely unknown. Taking the bushfire edge tracking and patrolling task for an unmanned aerial vehicle‐unmanned ground vehicle heterogeneous system as an example, the effectiveness and robustness of the developed control strategy are verified by simulations.
Formal methods by stealth: The INSPEX experience
Authors: Banach Richard , Razavi Joseph , Debicki Oivier , Lesecq Suzanne 
Published: October 2021

AbstractINSPEX is anINtegrated Smart sPatial EXplorationsystem. It relies on a family of sensors, like automated vehicles do, to provide enough information to a digital system for it to make reliable inferences about the location of obstacles and other impediments in its environment. Unlike the automated vehicle case, INSPEX is minaturised, because it is intended for lightweight applications and for portable use by humans, for example, visually impaired persons navigating outdoors (among many similar use cases). The complexity of this hardware‐focused system merited the introduction of formal methods during its (essentially conventionally structured) development. The aim was to improve the dependability of parts of the implemented system and to estimate system characteristics via modelling and calculation that could not be obtained experimentally within the scope of the project. The paper overviews the experience of the very much human‐in‐the‐loop use of formal techniques in the INSPEX Project and focuses particularly on the human issues that impacted the cooperation between the conventional techniques and formal methods.
Cover Image, Volume 8, Issue 6
Authors: Hasan Shahnoor , Evers Jaap , Verzijl Andres , Zwarteveen Margreet 
Published: October 2021

AbstractThe cover image is based on the Perspective Deltas in dialogue: Imagining policy transfer from the Netherlands to Vietnam and Bangladesh as a symmetrical conversation by Shahnoor Hasan et al., https://doi.org/10.1002/wat2.1559.image
The diagrammatic coaction beyond one loop
Authors: Abreu Samuel , Britto Ruth , Duhr Claude , Gardi Einan , Matthew James 
Published: October 2021

Abstract
The diagrammatic coaction maps any given Feynman graph into pairs of graphs and cut graphs such that, conjecturally, when these graphs are replaced by the corresponding Feynman integrals one obtains a coaction on the respective functions. The coaction on the functions is constructed by pairing a basis of differential forms, corresponding to master integrals, with a basis of integration contours, corresponding to independent cut integrals. At one loop, a general diagrammatic coaction was established using dimensional regularisation, which may be realised in terms of a global coaction on hypergeometric functions, or equivalently, order by order in the ϵ expansion, via a local coaction on multiple polylogarithms. The present paper takes the first steps in generalising the diagrammatic coaction beyond one loop. We first establish general properties that govern the diagrammatic coaction at any loop order. We then focus on examples of two-loop topologies for which all integrals expand into polylogarithms. In each case we determine bases of master integrals and cuts in terms of hypergeometric functions, and then use the global coaction to establish the diagrammatic coaction of all master integrals in the topology. The diagrammatic coaction encodes the complete set of discontinuities of Feynman integrals, as well as the differential equations they satisfy, providing a general tool to understand their physical and mathematical properties.
“I don't opt out of things because I think I will get a sore knee, but I don't expose myself to stupid risks either”: patients’ experiences of a second ACL injury—an interview study
Authors: Heijne Annette , Silbernagel Karin Grävare , Lundberg Mari 
Published: October 2021

AbstractPurposeThe purpose of this qualitative study was to describe women’s experiences with anterior cruciate ligament reconstruction (ACLR) and a subsequent ACL rupture, and to identify potential facilitators and barriers for coping with rehabilitation after the second injury.MethodsEight women between 17 and 36 years (mean 26, SD 6.5) who had experienced ACLR, followed by another ACL rupture, participated in the study. Semi-structured interviews were conducted, and data were analyzed using qualitative content analysis.ResultsOne overarching theme, “Rehabilitation after a second ACL injury—A lifelong adaptive coping process”, emerged from analyses. Undergoing a second rehabilitation is described as a process of adaptation, beginning with the first injury and still ongoing, more than 5 years later. Participants applied different coping strategies to adapt to these life-altering injuries, but the common denominator was of major life adjustments with no return to previous activity levels. Initially, after the reinjury, it was about coping with the catastrophe of the dreaded second injury. Over time, they accepted their “new” life and reset their recovery/rehabilitation goal not just as “return to sport” but rather as a “personal life goal”.ConclusionUndergoing a second ACL injury is a long process that challenges the patient’s coping skills. Given these results, rehabilitation programs need to be more person centred according to the patients-adjusted life goals.Level of evidence3.
Exploring the determinants of ethnic differences in insulin clearance between men of Black African and White European ethnicity
Authors: Ladwa Meera , Bello Oluwatoyosi , Hakim Olah , Boselli Maria Linda , Shojaee-Moradie Fariba , Umpleby A. Margot , Peacock Janet , Amiel Stephanie A. , Bonadonna Riccardo C. , Goff Louise M. 
Published: October 2021

Abstract
Aim
People of Black African ancestry, who are known to be at disproportionately high risk of type 2 diabetes (T2D), typically exhibit lower hepatic insulin clearance compared with White Europeans. However, the mechanisms underlying this metabolic characteristic are poorly understood. We explored whether low insulin clearance in Black African (BA) men could be explained by insulin resistance, subclinical inflammation or adiponectin concentrations.

Methods
BA and White European (WE) men, categorised as either normal glucose tolerant (NGT) or with T2D, were recruited to undergo the following: a mixed meal tolerance test with C-peptide modelling to determine endogenous insulin clearance; fasting serum adiponectin and cytokine profiles; a hyperinsulinaemic–euglycaemic clamp to measure whole-body insulin sensitivity; and magnetic resonance imaging to quantify visceral adipose tissue.

Results
Forty BA (20 NGT and 20 T2D) and 41 WE (23 NGT and 18 T2D) men were studied. BA men had significantly lower insulin clearance (P = 0.011) and lower plasma adiponectin (P = 0.031) compared with WE men. In multiple regression analysis, ethnicity, insulin sensitivity and plasma adiponectin were independent predictors of insulin clearance, while age, visceral adiposity and tumour necrosis factor alpha (TNF-α) did not significantly contribute to the variation.

Conclusion
These data suggest that adiponectin may play a direct role in the upregulation of insulin clearance beyond its insulin-sensitising properties.
Climate change research and the search for solutions: rethinking interdisciplinarity
Authors: Schipper E. Lisa F. , Dubash Navroz K. , Mulugetta Yacob 
Published: October 2021

Abstract
Growing political pressure to find solutions to climate change is leading to increasing calls for multiple disciplines, in particular those that are not traditionally part of climate change research, to contribute new knowledge systems that can offer deeper and broader insights to address the problem. Recognition of the complexity of climate change compels researchers to draw on interdisciplinary knowledge that marries natural sciences with social sciences and humanities. Yet most interdisciplinary approaches fail to adequately merge the framings of the disparate disciplines, resulting in reductionist messages that are largely devoid of context, and hence provide incomplete and misleading analysis for decision-making. For different knowledge systems to work better together toward climate solutions, we need to reframe the way questions are asked and research pursued, in order to inform action without slipping into reductionism. We suggest that interdisciplinarity needs to be rethought. This will require accepting a plurality of narratives, embracing multiple disciplinary perspectives, and shifting expectations of public messaging, and above all looking to integrate the appropriate disciplines that can help understand human systems in order to better mediate action.
Modeling managerial search behavior based on Simon’s concept of satisficing
Authors: Wall Friederike 
Published: October 2021

AbstractComputational models of managerial search often build on backward-looking search based on hill-climbing algorithms. Regardless of its prevalence, there is some evidence that this family of algorithms does not universally represent managers’ search behavior. Against this background, the paper proposes an alternative algorithm that captures key elements of Simon’s concept of satisficing which received considerable support in behavioral experiments. The paper contrasts the satisficing-based algorithm to two variants of hill-climbing search in an agent-based model of a simple decision-making organization. The model builds on the framework of NK fitness landscapes which allows controlling for the complexity of the decision problem to be solved. The results suggest that the model’s behavior may remarkably differ depending on whether satisficing or hill-climbing serves as an algorithmic representation for decision-makers’ search. Moreover, with the satisficing algorithm, results indicate oscillating aspiration levels, even to the negative, and intense—and potentially destabilizing—search activities when intra-organizational complexity increases. Findings may shed some new light on prior computational models of decision-making in organizations and point to avenues for future research.
Numerical Simulations of a Dispersive Model Approximating Free-Surface Euler Equations
Authors: Sánchez Cipriano Escalante , Fernández-Nieto Enrique D. , de Luna Tomás Morales , Penel Yohan , Sainte-Marie Jacques 
Published: October 2021

AbstractIn some configurations, dispersion effects must be taken into account to improve the simulation of complex fluid flows. A family of free-surface dispersive models has been derived in Fernández-Nieto et al. (Commun Math Sci 16(05):1169–1202, 2018). The hierarchy of models is based on a Galerkin approach and parameterised by the number of discrete layers along the vertical axis. In this paper we propose some numerical schemes designed for these models in a 1D open channel. The cornerstone of this family of models is the Serre – Green-Naghdi model which has been extensively studied in the literature from both theoretical and numerical points of view. More precisely, the goal is to propose a numerical method for the $$LDNH_2$$

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model that is based on a projection method extended from the one-layer case to any number of layers. To do so, the one-layer case is addressed by means of a projection-correction method applied to a non-standard differential operator. A special attention is paid to boundary conditions. This case is extended to several layers thanks to an original relabelling of the unknowns. In the numerical tests we show the convergence of the method and its accuracy compared to the $$LDNH_0$$

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model.
Drivers of academic engagement in public–private research collaboration: an empirical study
Authors: Abramo Giovanni , D’Angelo Ciriaco Andrea 
Published: October 2021

AbstractUniversity-industry research collaboration is one of the major research policy priorities of advanced economies. In this study, we try to identify the main drivers that could influence the propensity of academics to engage in research collaborations with the private sector, in order to better inform policies and initiatives to foster such collaborations. At this purpose, we apply an inferential model to a dataset of 32,792 Italian professors in order to analyze the relative impact of individual and contextual factors affecting the propensity of academics to engage in collaboration with industry, at overall level and across disciplines. The outcomes reveal that the typical profile of the professor collaborating with industry is a male under age 40, full professor, very high performer, with highly diversified research, and who has a certain tradition in collaborating with industry. This professor is likely to be part of a staff used to collaborating with industry, in a small university, typically a polytechnic, located in the north of the country.
Clemastine Enhances Myelination, Delays Axonal Loss and Promotes Functional Recovery in Spinal Cord Injury
Authors: Du Weihong , Deng Yongbing , Jiang Rong , Tong Luyao , Li Ruixue , Jiang Xue 
Published: October 2021

AbstractRecent evidence has shown that demyelination occurs along with axonal degeneration in spinal cord injury (SCI) during the secondary injury phase. Oligodendrocyte precursor cells (OPC) are present in the lesions but fail to differentiate into mature oligodendrocytes and form new myelin. Given the limited recovery of neuronal functions after SCI in adults without effective treatment available so far, it remains unknown whether enhancing OPC differentiation and myelination could benefit the recovery of SCI. To show the significance of myelin regeneration after SCI, the injury was treated with clemastine in the rat model. Clemastine is an FDA-approved drug that is potent in promoting oligodendrocyte differentiation and myelination in vivo, for four weeks following SCI. Motor function was assessed using sloping boards and grid walking tests and scored according to the Basso, Beattie, and Bresnahan protocol. The myelin integrity and protein expression were evaluated using transmission electron microscopy and immunofluorescence, respectively. The results indicated that clemastine treatment preserves myelin integrity, decreases loss of axons and improves functional recovery in the rat SCI model. The presented data suggest that myelination-enhancing strategies may serve as a potential therapeutic approach for the functional recovery in SCI.
Symbolic revolutions. Mobilizing a neglected Bourdieusian concept for historical sociology
Authors: Petzke Martin 
Published: October 2021

AbstractThe article builds on a recent literature that has sought to underscore the relevance of Bourdieu’s field theory for historical-sociological analysis. It draws attention to symbolic revolutions, a concept that has been given short shrift in this literature and even in Bourdieu’s own expositions of his field-theoretical apparatus. The article argues that symbolic revolutions denote a universal mechanism of field-internal change which extends and complements a conceptual battery of mostly structural universals of fields. In a synoptic reading of Bourdieu’s field-theoretical work, the article fleshes out an ideal type of symbolic revolutions, with special regard to its dialectical features. It adds further analytical purchase to the concept by highlighting continuities and parallels with the work of Thomas Kuhn and Karl Mannheim. Finally, it argues that more recent studies by other authors on transformations in the psychiatric field, the field of social and human sciences, and the political field are in fact discussing instances of symbolic revolutions. It thus shows how the concept can help identify common properties among highly heterogeneous phenomena, opening up new avenues for historical-sociological investigations that can more systematically relate the general and the particular.
VentQsys: Low-cost open IoT system for $$CO_2$$ monitoring in classrooms
Authors: Fayos-Jordan Rafael , Segura-Garcia Jaume , Soriano-Asensi Antonio , Felici-Castell Santiago , Felisi Jose M. , Alcaraz-Calero Jose M. 
Published: October 2021

AbstractIn educational context, a source of nuisance for students is carbon dioxide ($$CO_2$$

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) concentration due to closed rooms and lack of ventilation or circulatory air. Also, in the pandemic context, ventilation in indoor environments has been proven as a good tool to control the COVID-19 infections. In this work, it is presented a low cost IoT-based open-hardware and open-software monitoring system to control ventilation, by measuring carbon dioxide ($$CO_2$$

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), temperature and relative humidity. This system provides also support for automatic updating, auto-self calibration and adds some Cloud and Edge offloading of computational features for mapping functionalities. From the tests carried out, it is observed a good performance in terms of functionality, battery durability, compared to other measuring devices, more expensive than our proposal.
A miniaturized method for fast, simple, and sensitive pesticide analysis in soils
Authors: Simon Marcel Pierre , Knuth Dennis , Böhm Leonard , Wiltschka Katrin , Schatz Marlene , Düring Rolf-Alexander 
Published: October 2021

Abstract
Purpose
Organochlorine pesticides (OCPs) like lindane and DDT have been used extensively after World War II until the 1990s. Still, residues of these pesticides can be found in agricultural soils all over the world, especially in developing countries. Often, they occur in extensive areas and elevated concentrations so that food safety is jeopardized. Hence, simple, cheap, and fast analytical methods are needed for a straight-forward assessment of risks. A miniaturized solid–liquid extraction combined with solid-phase microextraction (SPME) based on a proven ISO method is presented.

Methods
The performance of the method is evaluated by extracting three different soils which were spiked with HCH and DDT congeners, and trifluralin, and aged for 35 days. The results are compared with those of a modified quick, easy, cheap, efficient, rugged, and safe (QuEChERS) method. For further validation, both methods are applied to three environmental soil samples.

Results
Validation results show limits of detection and quantification as well as recovery rates in good agreement with standard requirements. The new method was found to be quicker than QuEChERS, which requires time-consuming preparation of reagents.

Conclusion
Merits include low time and sample volume requirements (0.5 g) and the possibility to extract many samples simultaneously, which allows the screening of large sample sizes to determine the pollution status of whole landscape regions. However, access to an automated SPME apparatus is assumed. The authors can recommend this method as a cheap and fast alternative where SPME is available.