bluuebunny/crossref_metadata_2025_split huggingface dataset:
Play Well Triple P: Developing and Evaluating a Program to Promote Positive Parental Involvement in Junior Sport
Authors: Dittman Cassandra K. , Sanders Matthew R. , Rynne Steven B. , Mallett Clifford J. , Lefebvere Jordan S. 
Published: June 2024

AbstractParents play a central role in children’s ongoing participation and enjoyment of sport. Despite compelling evidence that parental behaviour can undermine the quality of children’s experiences in sport, little research has examined whether strategies to support parents to engage in positive sports parenting behaviour are effective. In this paper, we report two studies that had the overall aim of developing, implementing and evaluating a program designed to promote positive parental involvement and improve spectator behaviour in junior rugby league in Australia. Study 1 involved the development of a prototype version of the program, named Play Well Triple P, which was qualitatively evaluated through interviews with 19 parents about their satisfaction with the program. In Study 2, we used feedback from Study 1 to refine the program and develop a pilot version, which was then evaluated in a quasi-experimental feasibility study with 101 parents (mean age = 38.42 years; 72% mothers) of junior rugby league players. The pilot version involved one interactive online module and text messages to reinforce content and prompt strategy implementation across the season. Participation in Play Well Triple P was associated with increased positive sports parenting behaviour and reduced controlling and intrusive sports parenting behaviour, with a trend towards reducing over-reactive parenting practices at home. These findings are discussed in relation to the feasibility of implementing a brief and engaging sports parenting intervention in the context of a broader integrated system designed to facilitate ongoing participation of children in sport.
New families of quaternionic Hadamard matrices
Authors: Barrera Acevedo Santiago , Dietrich Heiko , Lionis Corey 
Published: June 2024

AbstractA quaternionic Hadamard matrix (QHM) of ordernis an$$n\times n$$n×nmatrixHwith non-zero entries in the quaternions such that$$HH^*=nI_n$$HH∗=nIn, where$$I_n$$Inand$$H^*$$H∗denote the identity matrix and the conjugate-transpose ofH, respectively. A QHM is dephased if all the entries in its first row and first column are 1, and it is non-commutative if its entries generate a non-commutative group. The aim of our work is to provide new constructions of infinitely many (non-commutative dephased) QHMs; such matrices are used by Farkas et al. (IEEE Trans Inform Theory 69(6):3814–3824, 2023) to produce mutually unbiased measurements.
Social media parenting scale: Validity and reliability study
Authors: Subaşı Sibel , Korkmaz Özgen , Kukul Volkan 
Published: June 2024

AbstractIn this study, the concept of social media parenting (SMP) was defined and a scale was developed to measure parents’ perceptions of SMP. Although SMP is referred to as “sharenting” in the literature, given that it has a much broader definition, an attempt was made to define it as a new concept that includes the concept of sharenting. The SMP scale is a five-point Likert-type scale consisting of 28 items that can be grouped under six factors. The study group consisted of 430 parents from different provinces of Türkiye who volunteered to participate in the study. To ensure the scale’s validity, exploratory and confirmatory factor analyses, item discrimination analyses, purpose levels, internal consistency levels, and stability analyses were conducted for reliability. It was concluded that the scale obtained from this research is a valid and reliable scale for measuring parents’ perceptions of SMP.
Lipopeptides from Bacillus tequilensis EA-CB0015 and cinnamon extract decrease the bioenergetic response of Fusarium oxysporum f. sp. cubense
Authors: Ramírez-Mejía Julieta M. , Villegas-Escobar Valeska , Gómez Luis A. 
Published: June 2024

AbstractLipopeptides (LPs) from B. tequilensis EA-CB0015 have antifungal activity against Fusarium species. Specifically, against F. oxysporum f. sp. cubense (Foc), the cause of Fusarium wilt of banana. Cinnamon (CN) extract is also known for its inhibitory activity against the Fusarium genus. The main goal of this research was to determine whether the effect of LPs and CN extract or their combination against a Foc isolate is related to an impairment of mitochondrial function. Our results show that biomass decreased by 74% (p < 0.0001) and 84% (p < 0.0001) when cultures were treated with 128 ppm LPs and 152.5 ppm CN extract, respectively. In parallel, we found a pronounced impairment of the bioenergetic response. That is, the routine oxygen consumption rate diminished by 55% (p = 0.0148) and 38% (p < 0.0001), respectively. Moreover, the ATP-linked respiratory rate decreased by 63% (p = 0.0461) and 44% (p = 0.0005), while the FCCP-simulated respiratory rate by 63% (p = 0.0255) and 45% (p = 0.0002). Therefore, our data suggest that the altered bioenergetic response observed in cultures of Foc treated with LPs or CN is mainly caused by an impairment of the activity of the respiratory complexes. On the other hand, biomass production was reduced by 80% (p < 0.0001) when cultures were treated with a mixture comprising only 10% LPs and 40% CN extract. Furthermore, ATP-linked and FCCP-stimulated respiratory rates decreased by 62% (p = 0.0024) and 68% (p < 0.0001), respectively under the same conditions. A potentially synergistic antifungal effect of cyclic LPs with a CN extract is suggested.
Graphical Abstract
Engineering recommender systems for modelling languages: concept, tool and evaluation
Authors: Almonte Lissette , Guerra Esther , Cantador Iván , de Lara Juan 
Published: June 2024

AbstractRecommender systems (RSs) are ubiquitous in all sorts of online applications, in areas like shopping, media broadcasting, travel and tourism, among many others. They are also common to help in software engineering tasks, including software modelling, where we are recently witnessing proposals to enrich modelling languages and environments with RSs. Modelling recommenders assist users in building models by suggesting items based on previous solutions to similar problems in the same domain. However, building a RS for a modelling language requires considerable effort and specialised knowledge. To alleviate this problem, we propose an automated, model-driven approach to create RSs for modelling languages. The approach provides a domain-specific language called Droid to configure every aspect of the RS: the type of the recommended modelling elements, the gathering and preprocessing of training data, the recommendation method, and the metrics used to evaluate the created RS. The RS so configured can be deployed as a service, and we offer out-of-the-box integration with Eclipse modelling editors. Moreover, the language is extensible with new data sources and recommendation methods. To assess the usefulness of our proposal, we report on two evaluations. The first one is an offline experiment measuring the precision, completeness and diversity of recommendations generated by several methods. The second is a user study – with 40 participants – to assess the perceived quality of the recommendations. The study also contributes with a novel evaluation methodology and metrics for RSs in model-driven engineering.
A de Broglie–Bohm Model of Pure Shape Dynamics: N-Body system
Authors: Farokhi Pooya , Koslowski Tim , Naranjo Pedro , Vassallo Antonio 
Published: June 2024

AbstractWe provide the construction of a de Broglie–Bohm model of the N-body system within the framework of Pure Shape Dynamics. The equation of state of the curve in shape space is worked out, with the instantaneous shape being guided by a wave function. In order to get a better understanding of the dynamical system, we also give some numerical analysis of the 3-body case. Remarkably enough, our simulations typically show the attractor-driven behaviour of complexity, well known in the classical case, thereby providing further evidence for the claim that the arrow of complexity is the ultimate cause of the experienced arrow of time.
The role of PCSK9 in heart failure and other cardiovascular diseases—mechanisms of action beyond its effect on LDL cholesterol
Authors: Dutka Mieczysław , Zimmer Karolina , Ćwiertnia Michał , Ilczak Tomasz , Bobiński Rafał 
Published: June 2024

AbstractProprotein convertase subtilisin/kexin type-9 (PCSK9) is a protein that regulates low-density lipoprotein (LDL) cholesterol metabolism by binding to the hepatic LDL receptor (LDLR), ultimately leading to its lysosomal degradation and an increase in LDL cholesterol (LDLc) levels. Treatment strategies have been developed based on blocking PCSK9 with specific antibodies (alirocumab, evolocumab) and on blocking its production with small regulatory RNA (siRNA) (inclisiran). Clinical trials evaluating these drugs have confirmed their high efficacy in reducing serum LDLc levels and improving the prognosis in patients with atherosclerotic cardiovascular diseases. Most studies have focused on the action of PCSK9 on LDLRs and the subsequent increase in LDLc concentrations. Increasing evidence suggests that the adverse cardiovascular effects of PCSK9, particularly its atherosclerotic effects on the vascular wall, may also result from mechanisms independent of its effects on lipid metabolism. PCSK9 induces the expression of pro-inflammatory cytokines contributing to inflammation within the vascular wall and promotes apoptosis, pyroptosis, and ferroptosis of cardiomyocytes and is thus involved in the development and progression of heart failure. The elimination of PCSK9 may, therefore, not only be a treatment for hypercholesterolaemia but also for atherosclerosis and other cardiovascular diseases. The mechanisms of action of PCSK9 in the cardiovascular system are not yet fully understood. This article reviews the current understanding of the mechanisms of PCSK9 action in the cardiovascular system and its contribution to cardiovascular diseases. Knowledge of these mechanisms may contribute to the wider use of PCSK9 inhibitors in the treatment of cardiovascular diseases.
Space Analysis in Palaeolithic Cave Art: Towards a Multidisciplinary and Integrated Approach
Authors: Spaey Olga , Garate Diego , Irurtzun Aritz 
Published: June 2024

Abstract We present a revision of the concept of space in Palaeolithic cave art. Previous research attempting to approach this notion encounters several gaps, which surface on multiple levels: subjectivity, vagueness, restrictions on its conceptualisation, its illustration (two-dimensional description and representation), among others. We reassess the key elements at play, interpretative attempts, and theoretical concepts to gain a better understanding of the notion of space as applied to cave art. This is achieved by examining the historiography not only in prehistory but also in related disciplines, integrating new theoretical approaches and insights from ethnoarchaeology, linguistics, cognitive science, and analytic philosophy. Following this analysis of the existing research, we propose a new method to address the aforementioned issues. This method relies on digital quantitative tools for spatial analysis and three-dimensional representation, such as geographic information systems (GIS) and 3D visualisation. Through the application of these advanced technological tools, we aim to offer a more comprehensive and precise representation of the spatial aspects in Palaeolithic cave art, enabling researchers to analyse and comprehend the complexities of spatial distribution in a systematic and quantitative manner.
Direct Drive Laser Fusion Facility and Pilot Plant
Authors: McGeoch Malcolm W. , Obenschain Stephen P. 
Published: June 2024

AbstractDirect-drive laser inertial fusion is a potential producer of baseline power that has increased credibility following the achievement at the National Ignition Facility of ignition and net gain using indirect-drive via laser-produced X-rays. Ultraviolet broad band lasers such as argon fluoride, at 193 nm and 10 THz, are predicted by hydrocode simulations to enable energy gains greater than 100 with laser energies less than 0.5 MJ, stimulating renewed reactor design effort in anticipation of experimental verification. The present study attempts to create a reactor design with very few unknowns in materials, corrosion, first wall viability, tritium breeding and ease of servicing. A new variant of magnetic intervention has an increased ion dump surface area combined with a simple structure. Around an inner vacuum vessel an all-ceramic tritium breeder blanket is possible in an unconstrained volume, allowing helium coolant to be used without excessive pressure or flow power. The case is made for development of a lead (Pb) ceramic as the neutron multiplier.
Solution combustion synthesis of iron-based magnetic nanoparticles: influence of inert gas pressure
Authors: Hambardzumyan Davit , Gyulasaryan Harutyun , Kuzanyan Astghik , Sargsyan Armenuhi , Avagyan Vardges , Kubrin Stanislav , Manukyan Aram , Mukasyan Alexander S. 
Published: June 2024

AbstractWe report the synthesis of iron oxide nanoparticles using solution combustion synthesis, focusing on the controlled manipulation of material characteristics, such as particle size, phase composition, and magnetic properties, by applying external inert gas pressure. It was shown that variation of nitrogen gas pressure in the reactor in the range 0.1 to 1.1 MPa changed the time-temperature history of the process and resulted in the gradual change of phase composition of the fabricated materials along the FeO → FeO∙Fe2O3 → Fe2O3 route. The particle size varied in the 50–400 nm range, with a maximum for powder synthesized at a pressure of 0.25 MPa. For magnetic fluid hyperthermia, the critical parameter is specific loss power. It was demonstrated that this parameter can be optimized by gas pressure variation. The maximum specific loss power measured under conditions suitable for magnetic hyperthermia (magnetic field 33.5 mT and frequency 259.6 kHz) appears to be 174 W/g. The proposed innovative approach is an effective tool for controlling the synthesis of various nanoparticles with desired properties.
The irrationality of human confidence that an ageless existence would be better
Authors: Levin Susan B. 
Published: June 2024

AbstractTranshumanists and their fellow travelers urge humanity to prioritize the development of biotechnologies that would eliminate aging, delivering ‘an endless summer of literally perpetual youth.’ Aspiring not to age instantiates what philosopher Martha Nussbaum calls the yearning for ‘external transcendence,’ or the fundamental surpassing of human bounds due to confidence that life without them would be better. Based on Immanuel Kant’s account of the parameters of human understanding, I argue that engineering agelessness could not be a rational priority for humanity on the level of public policy. This stance is complemented by an argument focused on individual decision-making in liberal-democratic milieus, where no governing conception of the good is presumed and the first-personal level matters greatly. Here, drawing on philosopher and cognitive scientist Laurie Ann Paul’s concept of ‘transformative experience,’ I maintain that individuals could not ‘rationally,’ meaning, here, ‘prudentially,’ say ‘yes’ to agelessness. Absorbing the irrationality of human zeal to eliminate aging, based on assurance that an ageless existence would be better, should spur a redoubled dedication to human flourishing.
A Teleological Approach to Information Systems Design
Authors: Fumagalli Mattia , Ferrario Roberta , Guizzardi Giancarlo 
Published: June 2024

AbstractIn recent years, the design and production of information systems have seen significant growth. However, these information artefacts often exhibit characteristics that compromise their reliability. This issue appears to stem from the neglect or underestimation of certain crucial aspects in the application of Information Systems Design (ISD). For example, it is frequently difficult to prove when one of these products does not work properly or works incorrectly (falsifiability), their usage is often left to subjective experience and somewhat arbitrary choices (anecdotes), and their functions are often obscure for users as well as designers (explainability). In this paper, we propose an approach that can be used to support the analysis and re-(design) of information systems grounded on a well-known theory of information, namely, teleosemantics. This approach emphasizes the importance of grounding the design and validation process on dependencies between four core components: the producer (or designer), the produced (or used) information system, the consumer (or user), and the design (or use) purpose. We analyze the ambiguities and problems of considering these components separately. We then present some possible ways in which they can be combined through the teleological approach. Also, we debate guidelines to prevent ISD from failing to address critical issues. Finally, we discuss perspectives on applications over real existing information technologies and some implications for explainable AI and ISD.
In the Craftsman’s Garden: AI, Alan Turing, and Stanley Cavell
Authors: O’Connor Marie Theresa 
Published: June 2024

AbstractThere is rising skepticism within public discourse about the nature of AI. By skepticism, I mean doubt about what we know about AI. At the same time, some AI speakers are raising the kinds of issues that usually really matter in analysis, such as issues relating to consent and coercion. This essay takes up the question of whether we should analyze a conversation differently because it is between a human and AI instead of between two humans and, if so, why. When is it okay, for instance, to read the phrases “please stop” or “please respect my boundaries” as meaning something other than what those phrases ordinarily mean – and what makes it so? If we ignore denials of consent, or put them in scare quotes, we should have a good reason. This essay focuses on two thinkers, Alan Turing and Stanley Cavell, who in different ways answer the question of whether it matters that a speaker is a machine. It proposes that Cavell’s work on the problem of other minds, in particular Cavell’s story in The Claim of Reason of an automaton whom he imagines meeting in a craftsman’s garden, may be especially helpful in thinking about how to analyze what AI has to say.
Rope–sheave contact transient analysis in hoisting operations with a bristle model and an arbitrary Lagrangian–Eulerian approach
Authors: Escalona José L. 
Published: June 2024

AbstractThis paper describes the development of a computational model for the rope–sheave contact interaction in reeving systems when the ropes are modeled with an arbitrary Lagrangian–Eulerian approach. This discretization approach has been developed in previous publications as a general and systematic method for the modeling and simulation of reeving systems. However, the rope–sheave contact model was avoided assuming the no-slip contact condition. The contact model developed in this paper introduces specialized ALE-ANCF-cubic rope contact elements that are used to discretize the rope segment winded at the sheave. The contact is modeled using a set of virtual discrete bristles attached to material points in the mid-line of the rope in one end and in contact with the sheave in the other end. Therefore, a second Lagrangian mesh, apart of the ALE mesh used to discretize the rope, is used to define the fixed ends of the bristles. The kinematics and dynamics used to calculate the normal and tangential contact forces are described in detail. The contact model is 3D and can be used to analyze the contact with a sheave groove with arbitrary shape. The tangential contact force model can be used to describe stick and slip contact conditions and, to improve the simulation performance of the model, an LuGre regularization tangential contact force model is used. The rope-sheave contact model is used to analyze the behavior of a simple elevator system. The numerical results show that the static rope-sheave contact interaction agrees well with an analytical solution of the problem. Finally, the same elevator system is analyzed dynamically for a cabin ride of 8 meters with a steady velocity of 1 m/s. Results show that the normal and tangential contact forces during the steady velocity period are not so different from the static solution, but very different from the classical Creep Theory and Firbank’s Theory.
Predictive Modeling of Canadian Carbonatite-Hosted REE +/− Nb Deposits
Authors: Parsa Mohammad , Lawley Christopher J. M. , Cumani Renato , Schetselaar Ernst , Harris Jeff , Lentz David R. , Zhang Steven E. , Bourdeau Julie E. 
Published: June 2024

AbstractCarbonatites are the primary geological sources for rare earth elements (REEs) and niobium (Nb). This study applies machine learning techniques to generate national-scale prospectivity models and support mineral exploration targeting of Canadian carbonatite-hosted REE +/− Nb deposits. Extreme target feature label imbalance, diverse geological settings hosting these deposits throughout Canada, selecting negative labels, and issues regarding the interpretability of some machine learning models are major challenges impeding data-driven prospectivity modeling of carbonatite-hosted REE +/− Nb deposits. A multi-stage framework, exploiting global hierarchical tessellation model systems, data-space similarity measures, ensemble modeling, and Shapley additive explanations was coupled with convolutional neural networks (CNN) and random forest to meet the objectives of this work. A risk–return analysis was further implemented to assist with model interpretation and visualization. Multiple models were compared in terms of their predictive ability and their capability of reducing the search space for mineral exploration. The best-performing model, derived using a CNN that incorporates public geoscience datasets, exhibits an area under the curve for receiver operating characteristics plot of 0.96 for the testing labels, reducing the search area by 80%, while predicting all known carbonatite-hosted REE +/− Nb occurrences. The framework used in our study allows for an explicit definition of input vectors and provides a clear interpretation of outcomes generated by prospectivity models.
Multi-objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
Authors: Booysen Reinhard , Bosman Anna Sergeevna 
Published: June 2024

AbstractArtificial neural network (NN) architecture design is a nontrivial and time-consuming task that often requires a high level of human expertise. Neural architecture search (NAS) serves to automate the design of NN architectures and has proven to be successful in automatically finding NN architectures that outperform those manually designed by human experts. NN architecture performance can be quantified based on multiple objectives, which include model accuracy and some NN architecture complexity objectives, among others. The majority of modern NAS methods that consider multiple objectives for NN architecture performance evaluation are concerned with automated feed forward NN architecture design, which leaves multi-objective automated recurrent neural network (RNN) architecture design unexplored. RNNs are important for modeling sequential datasets, and prominent within the natural language processing domain. It is often the case in real world implementations of machine learning and NNs that a reasonable trade-off is accepted for marginally reduced model accuracy in favour of lower computational resources demanded by the model. This paper proposes a multi-objective evolutionary algorithm-based RNN architecture search method. The proposed method relies on approximate network morphisms for RNN architecture complexity optimisation during evolution. The results show that the proposed method is capable of finding novel RNN architectures with comparable performance to state-of-the-art manually designed RNN architectures, but with reduced computational demand.