bluuebunny/crossref_metadata_2025_split huggingface dataset:
(A Journey) towards an Affirmative Politics for Environmental Education
Authors: Le Grange Lesley 
Published: October 2024

AbstractEnvironmental education (EE) can never be separated from politics and the relationship between the two is complex, has changed over time, and is understood and experienced differently. The field’s relationship with politics is both internal (its own politics) and external (political forces outside the field) to it. In this article, I narrate my story of engaging with EE, politics and the relationship between the two. I refer to my story as an autocartophilosography because it has been significantly influenced by my engagement with philosophy and by my movement in space and over time. My most recent engagement has been with scholars’ theorising in the posthuman condition, and I suggest that this present condition requires a different politics, an affirmative politics. I generate seven propositions towards an affirmative politics for EE: making kin, transversal subjectivity, new alliances, dis/identification, embracing slowness, ethical and intellectual stamina; experimental energy.
Priority-based intelligent resolution method of multi-aircraft flight conflicts
Authors: Sui D. , Zhou Z. , Cui X. 
Published: October 2024

AbstractThe rising demand for air traffic will inevitably result in a surge in both the number and complexity of flight conflicts, necessitating intelligent strategies for conflict resolution. This study addresses the critical challenges of scalability and real-time performance in multi-aircraft flight conflict resolution by proposing a comprehensive method that integrates a priority ranking mechanism with a conflict resolution model based on the Markov decision process (MDP). Within this framework, the proximity between aircraft in a multi-aircraft conflict set is dynamically assessed to establish a conflict resolution ranking mechanism. The problem of multi-aircraft conflict resolution is formalised through the MDP, encompassing the design of state space, discrete action space and reward function, with the transition function implemented via simulation prediction using model-free methods. To address the positional uncertainty of aircraft in real-time scenarios, the conflict detection mechanism introduces the aircraft’s positional error. A deep reinforcement learning (DRL) environment is constructed incorporating actual airspace structures and traffic densities, leveraging the Actor Critic using Kronecker-factored Trust Region (ACKTR) algorithm to determine resolution actions. The experimental results indicate that with 20–30 aircraft in the airspace, the success rate can reach 94% for the training set and 85% for the test set. Furthermore, this study analyses the impact of varying aircraft numbers on the success rate within a specific airspace scenario. The outcomes of this research provide valuable insights for the automation of flight conflict resolution.
The sensitivity of sea-ice brine fraction to the freezing temperature and orientation
Authors: Stewart Kial Douglas , Palm William , Shakespeare Callum James , Kraitzman Noa 
Published: October 2024

Abstract
The changing conditions in which sea ice forms and exists are likely to affect the properties of sea ice itself, and potential climate feedbacks need to be identified and understood to improve future projections. Here we perform a set of idealised laboratory experiments that model sea-ice growth under a range of freezing conditions. The results confirm existing theories; sea-ice growth rate is largest for cooler freezing temperatures, fresher ambient salinities and cases with bottom cooling. Our primary metric of interest is the brine fraction (the volume ratio of brine inclusions to the total sea ice), which we quantify and determine its sensitivity with respect to the ambient salinity, freezing temperature and, for the first time, the freezing direction. We find that the brine fraction of our model sea ice is most sensitive to freezing temperature, and increases 2.5% per 1

$^\circ$

C increase of freezing temperature.
Laws Used to Excessively Impede Naming and Shaming in Business and Human Rights: Elite Power?
Authors: Nissen Aleydis 
Published: October 2024

AbstractThis article explores the use of laws to unduly silence critics of corporate human rights abuses. It considers the hypothesis that state and business elites align their interests, fuelling the employment of regulations to excessively impede naming and shaming activities. This article draws on socio-legal and critical legal studies to demonstrate how laws, while typically perceived as protective, can also serve to empower corporations and suppress dissent. It reviews examples of such collusion and calls for further case studies to better understand the interplay between business interests and regulatory practices.
On the embedded Nash problem
Authors: Budur Nero , de la Bodega Javier , de Lorenzo Poza Eduardo , Fernández de Bobadilla Javier , Pełka Tomasz 
Published: October 2024

Abstract
The embedded Nash problem for a hypersurface in a smooth algebraic variety is to characterize geometrically the maximal irreducible families of arcs with fixed order of contact along the hypersurface. We show that divisors on minimal models of the pair contribute with such families. We solve the problem for unibranch plane curve germs, in terms of the resolution graph. These are embedded analogs of known results for the classical Nash problem on singular varieties.
Thin-disk multi-pass amplifier for kilowatt-class ultrafast lasers
Authors: Xu Sizhi , Liu Xing , Gao Yubo , Ou Zuoyuan , Javed Fayyaz , He Xingyu , Lu Haotian , Chen Junzhan , Chen Yewang , Ouyang Deqin , Zhao Junqing , Wu Xu , Guo Chunyu , Zhou Cangtao , Lue Qitao , Ruan Shuangchen 
Published: October 2024

Abstract
We report on an improved ytterbium-doped yttrium aluminum garnet thin-disk multi-pass amplifier for kilowatt-level ultrafast lasers, showcasing excellent beam quality. At a repetition rate of 800 kHz, the 6.8 ps, 276 W seed laser is amplified up to an average power of 1075 W, corresponding to a pulse energy of 1.34 mJ. The 36-pass amplifier is designed as a compact mirror array in which the beam alternately propagates between the mirrors and the disk by a quasi-collimated state. We adopted a quasi-collimated propagation to confine stray and diffracted light by the slight curvature of the disk, which enables us to achieve an outstanding extraction efficiency of up to 57% with excellent beam quality in stable laser operation at high power. The beam quality at 1075 W was measured to be M2 < 1.51. Furthermore, stability testing was demonstrated with a root-mean-square power fluctuation of less than 1.67% for 10 min.
God, Evil, and Anthropomorphism
Authors: Cottingham John 
Published: October 2024

AbstractIn the first part of this paper I draw on some reflections offered by Descartes and Malebranche on the dangers of anthropomorphic conceptions of God, in order to suggest that there is something misguided about the way in which the so-called problem of evil is commonly framed. In the second part, I ask whether the problem of evil becomes easier to deal with if we adopt a non-personalist account of God, of the kind found in Aquinas. I consider the sense in which God is termed ‘good’ on this latter conception, and while not proposing that it can justify or explain the evil and suffering in the world, I suggest that the world’s manifest imperfections are compatible with the existence of a loving creator who is the source of the existence of the world and of the goodness found in created things.
John of St. Thomas (Poinsot) on the Role of Miracles and Wonders in Preaching the Gospel
Authors: Salas Victor M. 
Published: October 2024

AbstractThis article considers the claim that miraculous healings are essential to present-day evangelization. I contrast this perspective with that of the Baroque scholastic theologian John Poinsot. Like his contemporaries, Poinsot is concerned with offering a robust defense of the Christian faith but is rather circumspect with respect to the role that the miraculous should play. I argue that Poinsot’s reasons are not only valid, but the positive framework he develops for defending the articles of the faith helps contemporary evangelists successfully navigate the pitfalls of postmodernity.
Effects of a diverse prebiotic fibre blend on inflammation, the gut microbiota and affective symptoms in metabolic syndrome: a pilot open-label randomised controlled trial
Authors: Hall Caitlin Victoria , Hepsomali Piril , Dalile Boushra , Scapozza Leonardo , Gurry Thomas 
Published: October 2024

AbstractEmerging evidence suggests that low-grade systemic inflammation plays a key role in altering brain activity, behaviour and affect. Modulation of the gut microbiota using prebiotic fibre offers a potential therapeutic tool to regulate inflammation, mediated via the production of short-chain fatty acids (SCFA). However, the impact of prebiotic consumption on affective symptoms and the possible contribution from inflammation, gut symptoms and the gut microbiome are currently underexamined. In this 12-week study, the effects of a diverse prebiotic blend on inflammation, gut microbiota profiles and affective symptoms in a population with metabolic syndrome (MetS) were examined. Sixty males and females with MetS meeting the criteria for MetS were randomised into a treatment group (n 40), receiving 10 g per day of a diverse prebiotic blend and healthy eating advice, and a control group (n 20), receiving healthy eating advice only. Our results showed a significant reduction in high sensitivity C-reactive protein (hs-CRP) in the treatment (–0·58 [–9·96 to–2·63]) compared with control (0·37 [–3·64 to–3·32]), alongside significant improvements in self-reported affective scores in the treatment compared with the control group. While there were no differences in relative abundance between groups at week 12, there was a significant increase from baseline to week 12 in fecal Bifidobacterium and Parabacteroides in the treatment group, both of which are recognised as SCFA producers. Multivariate regression analyses further revealed an association between gastrointestinal symptoms and hs-CRP with affective scores. Together, this study provides preliminary support for a diverse prebiotic blend for mood, stress and anxiety.
Lie-theory-based dynamic model identification of serial robots considering nonlinear friction and optimal excitation trajectory
Authors: Luo Ruiqing , Yuan Jianjun , Hu Zhengtao , Du Liang , Bao Sheng , Zhou Meijie 
Published: October 2024

AbstractAccurate dynamic model is essential for the model-based control of robotic systems. However, on the one hand, the nonlinearity of the friction is seldom treated in robot dynamics. On the other hand, few of the previous studies reasonably balance the calculation time-consuming and the quality for the excitation trajectory optimization. To address these challenges, this article gives a Lie-theory-based dynamic modeling scheme of multi-degree-of-freedom (DoF) serial robots involving nonlinear friction and excitation trajectory optimization. First, we introduce two coefficients to describe the Stribeck characteristics of Coulomb and static friction and consider the dependency of friction on load torque, so as to propose an improved Stribeck friction model. Whereafter, the improved friction model is simplified in a no-load scenario, a novel nonlinear dynamic model is linearized to capture the features of viscous friction across the entire velocity range. Additionally, a new optimization algorithm of excitation trajectories is presented considering the benefits of three different optimization criteria to design the optimal excitation trajectory. On the basis of the above, we retrieve a feasible dynamic parameter set of serial robots through the hybrid least square algorithm. Finally, our research is supported by simulation and experimental analyses of different combinations on the seven-DoF Franka Emika robot. The results show that the proposed friction has better accuracy performance, and the modified optimization algorithm can reduce the overall time required for the optimization process while maintaining the quality of the identification results.
Hybrid learning-based visual path following for an industrial robot
Authors: Bingol Mustafa Can , Aydogmus Omur 
Published: October 2024

AbstractThis study proposes a novel hybrid learning approach for developing a visual path-following algorithm for industrial robots. The process involves three steps: data collection from a simulation environment, network training, and testing on a real robot. The actor network is trained using supervised learning for 500 epochs. A semitrained network is then obtained at the
$250^{th}$
epoch. This network is further trained for another 250 epochs using reinforcement learning methods within the simulation environment. Networks trained with supervised learning (500 epochs) and the proposed hybrid learning method (250 epochs each of supervised and reinforcement learning) are compared. The hybrid learning approach achieves a significantly lower average error (30.9 mm) compared with supervised learning (39.3 mm) on real-world images. Additionally, the hybrid approach exhibits faster processing times (31.7 s) compared with supervised learning (35.0 s). The proposed method is implemented on a KUKA Agilus KR6 R900 six-axis robot, demonstrating its effectiveness. Furthermore, the hybrid approach reduces the total power consumption of the robot’s motors compared with the supervised learning method. These results suggest that the hybrid learning approach offers a more effective and efficient solution for visual path following in industrial robots compared with traditional supervised learning.
Explicit information and working memory in second-language acquisition of the Spanish subjunctive: A replication and extension of Fernández (2008)
Authors: Henry Nick , Villegas Briana , Morgan-Short Kara 
Published: October 2024

AbstractAn important issue in second-language acquisition concerns the role of explicit information (EI) and how it is affected by individual differences. The present study explored this question through a partial replication and extension of Fernández (2008: Experiment 2), which investigated the effects of EI in processing instruction (PI) for the Spanish present subjunctive. This replication compared training with EI (PI) to training without it (structured input; SI). In addition to methodological changes that balance the amount of exposure between groups, this study also includes a control group that received exposure to the target form (C+). Extending the original study, we also assessed the durability of training and whether its effects interact with individual differences in working memory (WM). Results indicate advantages for the PI group during training, supporting Fernández’s conclusions. Immediate post-tests show advantages for the PI group that are not sustained on delayed post-tests. Analyses also indicate benefits for higher WM but only for the PI and C+ groups, although this was only sustained for the C+ group. Thus, findings indicate that when paired with SI, EI and high WM may influence the initial learning of the Spanish subjunctive, but their influence may dissipate over time.
Pharmacoepidemiology of combination pulmonary vasodilator therapy in critically ill infants
Authors: Kumar Karan R. , Ciociola Elizabeth C. , Skinner Kayla R. , Dixit Gargi M. , Alvarez Sunshine , Benjamin Elijah K. , Faulkner Jeffrey C. , Greenberg Rachel G. , Clark Reese H. , Benjamin Daniel K. , Hornik Christoph P. , Lee Jan Hau 
Published: October 2024

AbstractBackground:New drugs to target different pathways in pulmonary hypertension has resulted in increased combination therapy, but details of this use in infants are not well described. In this large multicenter database study, we describe the pharmacoepidemiology of combination pulmonary vasodilator therapy in critically ill infants.Methods:We identified inborn infants discharged home from a Pediatrix neonatal ICU from 1997 to 2020 exposed to inhaled nitric oxide, sildenafil, epoprostenol, or bosentan for greater than two consecutive days. We compared clinical variables and drug utilisation between infants receiving simultaneous combination and monotherapy. We reported each combination’s frequency, timing, and duration and graphically represented drug use over time.Results:Of the 7681 infants that met inclusion criteria, 664 (9%) received combination therapy. These infants had a lower median gestational age and birth weight, were more likely to have cardiac and pulmonary anomalies, receive cardiorespiratory support, and had higher in-hospital mortality than those receiving monotherapy. Inhaled nitric oxide and sildenafil were most frequently used, and utilisation of combination and monotherapy for all drugs increased over time. Inhaled nitric oxide and epoprostenol were used in infants with a higher gestational age, earlier postnatal age, and shorter duration than sildenafil and bosentan. Dual therapy with inhaled nitric oxide and sildenafil was the most common combination therapy.Conclusion:Our study revealed an increased use of combination pulmonary vasodilator therapy, favouring inhaled nitric oxide and sildenafil, yet with considerable practice variation. Further research is needed to determine the optimal combination, sequence, dosing, and disease-specific indications for combination therapy.
Neonatal interventricular septal aneurysm associated with right coronary artery fistula
Authors: Tanimoto Kazuki , Iwai Shigemitsu , Imai Kenta 
Published: October 2024

AbstractWe present a neonatal case of interventricular septal aneurysm associated with right coronary artery fistula. This report is the first to document such a neonatal case, highlighting the importance of early diagnosis and surgical intervention.
Genetic diversity and parentage of cacao (Theobroma cacao L.) populations from Ghana using single nucleotide polymorphism (SNP) markers
Authors: Asare Bediako Kwabena , Padi Francis Kwame , Obeng-Bio Ebenezer , Ofori Atta 
Published: October 2024

AbstractOrtet selection remains an integral component of cacao breeding programme to develop improved clones and expand the gene pool of available germplasm. This study assessed the population structure of 168 cacao clones developed recently from selected ortets in on-station and on-farm progeny trials in Ghana using 45 SNP markers. Selection of ortets was primarily based on high bean yield, high yield efficiency, adaptability to marginal growing conditions, and low incidence of black pod and cocoa swollen shoot virus diseases. Additionally, 58 SNPs were employed to verify the parentage of 752 bi-clonal seedlings supplied to farmers for commercial plantations. Pairwise multilocus matching based on 45 SNPs showed that the 168 clones were all distinct. Overall, the clones had moderate genetic diversity (He = 0.349 ± 0.022) and shared ancestry with Marañón, Guiana, Contamana, Iquitos, Amelonado, Trinitario, Nanay and Purús based on Bayesian clustering, principal coordinates, and parentage analyses. Parentage analysis of bi-clonal seedlings assigned parent-offspring trios (>80% confidence level) to 65.2% of the farmers' varieties based on breeder's active clone collection. The results of the parentage analysis suggested the existence of mislabelled clones in the seed gardens, necessitating the need for correct clone identification or rogueing. Taken together, this study presents a new group of cacao genetic resources with potential to broaden the gene pool of cacao in cacao improvement programmes. Further, the study conveys evidence of the need for countries with established seed garden systems to constantly monitor the genetic purity of seedlings produced from the seed gardens.
On the retrograde planar co-orbital asteroid motion with Jupiter
Authors: Voyatzis George , Kotoulas Thomas 
Published: October 2024

AbstractWe study the motion of an asteroid being in retrograde 1/1 resonance with Jupiter (co-orbital motion). We consider the planar case (i=180°) and Jupiter is on a circular or elliptic orbit (e′ = 0.048). In the cirular model we compute families of symmetric periodic orbits and their stability type. In the elliptic model we have isolated periodic orbits which affect the orbital modes of motion as it is shown by the FLI dynamical maps.
The obliquity of Mercury: Models and interpretation
Authors: Baland Rose-Marie 
Published: October 2024

AbstractMercury is locked in an unusual 3:2 spin-orbit resonance and as such is expected to be in a state of equilibrium called Cassini state. In that state, the angle between the spin axis and orbit normal, called obliquity, remains almost constant while the spin axis remains almost in the plane, also called Cassini plane, defined by the normal to the Laplace plane and the normal to the orbital plane. The spin axis and the orbit normal precess together with a period of about 300 kyr. The orientation of the spin axis of Mercury has been estimated using different approaches: (i) Earth-based radar observations, (ii) Messenger images and altimeter data, and (iii) Messenger radio tracking data. The different estimates all tend to confirm that Mercury occupies the Cassini state. The observed obliquity is small and close to 2 arcmin. It indicates a normalized polar moment of inertia of about 0.34. This information, combined with the existence of a liquid iron core, as evidenced by the librations, allows to constrain the interior structure of Mercury. However, the different estimates of the orientation of the spin axis locate the spin axis somewhat behind or ahead of the Cassini plane, and it is difficult to reconcile and interpret them coherently in terms of detailed interior properties. We review recent models for the obliquity and spin orientation of Mercury, which include the effects of complex orbital dynamics, tidal deformations and associated dissipation, and internal couplings related to the presence of fluid and solid cores. We discuss some implications regarding the interpretations of the orientation estimates in term of interior properties.
Frictional Contacts Between Rough Grains With Fractal Morphology
Authors: Wei Deheng , Zhai Chongpu , Song Hengxu , Hurley Ryan , Huang Shaoqi , Gan Yixiang , Xu Minglong 
Published: October 2024

AbstractSurface morphology plays a crucial role in friction between two contacting geomaterial surfaces, yet many questions remain unanswered regarding how detailed frictional responses deviate from analytical solutions for smooth surfaces due to the presence of roughness. In this study, we revisit the Cattaneo‐Mindlin problem for contacts between two fractally rough elastic or elasto‐plastic spheres generated based on ultra‐high degree (e.g., up to 2,000) spherical harmonics with the corresponding wavelength less than a thousandth of the mean grain diameter. Transverse contacts are simulated by finite element method, validated by the extended Cattaneo‐Mindlin solution to full slide regime for smooth sphere contacts. Extensive simulations are conducted to study contacts between two rough spheres with various surface geometries, micro friction coefficients, normal contact distances, relative roughness, fractal dimensions, and wavelength ranges. Out results indicate that: (a) the new analytical solution can approximately predict the macro contact response except for extremely high relative roughness and narrow wavelength range; (b) deviations induced by roughness from smooth sphere contacts can be neutralized by plasticity, high normal contact interference, and high micro friction coefficient; and (c) fractal dimension impacts frictional contacts less than relative roughness. The main cause of these phenomena can be credited to the underlying microscale contact information. Contact area and stress distributions and their evolutions provide concrete evidence of these observed behavior. This work provides a pathway for applying computational contact mechanics to many geophysical fields, such as the asperity model in earthquake science and the mechanics of granular materials.