bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi‐stage dynamic event‐triggered containment control of nonlinear multi‐agent systems with input‐bounded leaders and time‐varying delay
Authors: Feng Lihong , Huang Bonan , Sun Jiayue , Xie Xiangpeng , Zhang Huaguang , Ren Junchao 
Published: October 2022

AbstractThis article immerses in the event‐triggered containment control problem for a Lipschitz‐like nonlinear multi‐agent system with multiple active leaders. First, two event‐triggered mechanisms with internal dynamic variables are designed in both sensor‐observer (S‐O) and controller‐actuator (C‐A) channels to monitor data transmission and reduce communication burden. Second, an observer is constructed with the aid of the output information to estimate the states that cannot be acquired directly. Then, a control protocol considering time‐varying communications delays is proposed based on the observer. Third, the boundedness analysis of the containment error system is constructed by Lyapunov stability theory, the sufficient conditions are given in light of strict feasible LMIs. Finally, the validity of the proposed controller is verified by two simulations.
Continuous‐time optimal unbiased FIR filter for input‐delayed systems
Authors: Lee Dong Kyu , Kang Hyun Ho , Pak Jung Min , Ahn Choon Ki 
Published: October 2022

ABSTRACTMost existing finite impulse response (FIR) filters are restricted to models without delays. This paper proposes an continuous‐time optimal unbiased FIR filter for input‐delayed systems (CTOUFFID). A new integral transformation relation was introduced to derive the FIR filter. By applying this relation, the CTOUFFID problem is represented as an optimal control problem with zero terminal state. The filter gain function is obtained by solving two coupled matrix differential equations using initial conditions. The paper also offers discussion on the horizon size and a few special cases. The main benefit of the proposed solution is that it provides the maximum likelihood estimate with no requirements for the initial values. Finally, an application with the ‐404 turbofan engine model is presented to demonstrate the highly robust nature of the proposed FIR filer against incomplete noise information and unspecified model uncertainties.
Finite‐time non‐smooth stabilization of cascade output‐constrained switched systems
Authors: Lin Xiangze , Huang Jingxin , Park Jessie 
Published: October 2022

AbstractFinite‐time non‐smooth stabilization of cascade output‐constrained switched systems via state feedback is investigated. The cascade switched systems consist of subsystems in general form with zero dynamics and mixed powers taken into account. To deal with the finite‐time stabilization problem of such kind of switched systems, some mild assumptions, input‐to‐state stability property of zero dynamics, an appropriate growth rate assumption on nonlinear terms and some well‐known conditions for small signals, have been imposed on subsystems. Then, state feedback controllers are constructed first by revamping adding a power integrator technique and finite‐time stability analysis of the resultant closed‐loop switched systems are implemented by the deliberately constructed tangent‐type barrier Lyapunov function (‐BLF). Meanwhile, the output constraint of switched systems is also implicitly guaranteed by the ‐BLF. Switched systems discussed in this article can encompass almost all ‐normal ones because of the inclusion of zero dynamics, mixed powers, and the homogenous upper bounded assumption on nonlinear terms. And, the method proposed in this article operates in a unified framework to tackle finite‐time stabilization of switched systems because the constructed common ‐BLF degenerates into a quadratic function when the output constraint tends to infinity. Simulations are carried out to show the efficiency of the proposed method.
Characterizing bedforms in shallow seas as an integrative predictor of seafloor stability and the occurrence of macrozoobenthic species
Authors: Meijer Kasper J. , Franken Oscar , van der Heide Tjisse , Holthuijsen Sander J. , Visser Wim , Govers Laura L. , Olff Han 
Published: October 2022

AbstractIn soft‐bottom marine ecosystems, bedform variation is induced by wind‐ and tidal‐driven hydrodynamics. The resulting megaripples, sand waves and sandbanks form a spatially and temporally heterogeneous seafloor landscape. The strong physical forces imposed by the migration of these bedforms are important determinants for the occurrence of different macrozoobenthic species. Quantifying the effect of these forces can help in differentiating natural‐ and anthropogenically induced physical stressors. However, large‐scale mapping of seabed morphology at high resolution using multibeam echosounder is challenging, costly and time‐consuming, especially in shallow seas, prohibiting wide swaths. Instead, their bathymetry is typically studied using single‐beam transects that are interpolated to bathymetric grids with a relatively coarse resolution (20 m). However, this leaves out information on smaller scale (<20 m) bedforms that can be ecologically relevant. In the Dutch Wadden sea, a shallow tidal system, we characterized bedform variation at high resolution using single‐beam data for the first time. We calculated a 2‐D Terrain Ruggedness Index (TRI) at sub‐meter resolution along the single‐beam transects and interpolated the results to a full 3‐D grid. We then validated the result by relating TRI to independently modeled hydrodynamic parameters and to the distribution of macrozoobenthic species. We found that TRI successfully integrates the variation of tidal‐driven bed shear stress and wave‐driven orbital velocity. In addition, we found TRI to be a good predictor of the occurrence of macrozoobenthic species. The inferred small‐scale bedforms provide valuable information for separating the relative importance of natural dynamics versus anthropogenic disturbances such as dredging and bottom trawling activities. We discuss that by repurposing already available single‐beam data in this way, bedforms can be characterized at high resolution without the need for additional equipment or mapping campaigns, yielding novel input to decision‐making on marine management and conservation.
Synthesis, Anticancer Evaluation and Pharmacokinetic Studies of Quinoline‐Triazole Hybrid Derivatives
Authors: Kulu Irem 
Published: October 2022

AbstractSynthesis of effective and target‐selective biologically active molecules through conjugation of diversely substituted triazoles and 5‐aminoquinoline was achieved successfully with 1,4‐disubstituted regioisomer products in the 3+2 cycloaddition reaction, as expected. Seven quinoline‐1,2,3‐triazole hybrid compounds which bear different substituent groups were subjected to FTIR, 1HNMR, 13CNMR and MALDI‐MS spectroscopic characterization methods. All quinoline‐1,2,3‐triazole hybrid derivatives (8 a–g) were explored for their anti‐cancer activity towards Human urinary bladder carcinoma (T24) cells through cell viability, fluorescent imaging and colony formation analyses. Some chemical reactivity potentials and the pharmacokinetic properties of the quinoline‐1,2,3‐triazole hybrid compounds were analyzed. The frontier molecular orbital energies gap and chemical behaviour indices based on HOMO and LUMO energy values were analyzed via in‐silico methods. All in vitro and in silico results are in agreement that quinoline‐triazole derivative 8 f has potent anticancer activity and could serve for further investigation to enhance its potential biological activities.
Colloidal Polyelectrolyte Complexes from Hyaluronic Acid: Preparation and Biomedical Applications
Authors: Le Huu Van , Le Cerf Didier 
Published: October 2022

AbstractHyaluronic acid (HA) is a naturally occurring polysaccharide which has been extensively exploited in biomedical fields owing to its outstanding biocompatibility. Self‐assembly of HA and polycations through electrostatic interactions can generate colloidal polyelectrolyte complexes (PECs), which can offer a wide range of applications while being relatively simple to prepare with rapid and “green” processes. The advantages of colloidal HA‐based PECs stem from the combined benefits of nanomedicine, green chemistry, and the inherent properties of HA, namely high biocompatibility, biodegradability, and biological targeting capability. Accordingly, colloidal PECs from HA have received increasing attention in the recent years as high‐performance materials for biomedical applications. Considering their potential, this review is aimed to provide a comprehensive understanding of colloidal PECs from HA in complex with polycations, from the most fundamental aspects of the preparation process to their various biomedical applications, notably as nanocarriers for delivering small molecule drugs, nucleic acids, peptides, proteins, and bioimaging agents or the construction of multifunctional platforms.
Ermittlung der Schubeigenschaften von Sandwichkernen – Experiment und Modellierung
Authors: Grimm Sören , Lange Jörg 
Published: October 2022

AbstractEin Vergleich der Kernmaterialien von Sandwichelementen hat inkonsistente Zusammenhänge zwischen ihren Steifigkeitsmoduln bei unterschiedlichen Kerndicken ergeben. Daher wurden zwei Testverfahren zur Ermittlung der Schubeigenschaften des Kernwerkstoffs von Sandwichelementen theoretisch und experimentell untersucht. Die Ergebnisse zeigen, dass bei dem Schubbalkenversuch nach DIN EN 14509 eine genauere Definition der Lastverteilungsplatten notwendig ist und die übliche Vernachlässigung der Eindrückung am Auflager lediglich bei dünnen und mittleren Bauteildicken gerechtfertigt ist. Die Untersuchungen zum Gelenkquadratversuch haben den Einfluss der Exzentrizität zwischen der Gelenkebene und der Probenaußenkante gezeigt und mündeten in der Entwicklung eines neuen Versuchsaufbaus. Die Erkenntnisse aus den Untersuchungen liefern die Grundlage dafür, das Tragverhalten von Sandwichelementen künftig realistischer modellieren zu können.
Model‐based systems engineering: Evaluating perceived value, metrics, and evidence through literature
Authors: Campo Kelly X. , Teper Thomas , Eaton Casey E. , Shipman Anna M. , Bhatia Garima , Mesmer Bryan 
Published: October 2022

AbstractAlthough Model‐Based Systems Engineering (MBSE) is quickly becoming adopted in Systems Engineering (SE), there have not been many studies evaluating literature to determine the perceived value of implementing MBSE. This research first identifies and discusses previous studies on the justification or rejection of MBSE. This study investigates how the SE community perceives the value of MBSE by coding and analyzing positive and negative descriptions of MBSE; perceived benefits and drawbacks of implementing MBSE; and the evidence and metrics used to substantiate and measure each claim about MBSE. From 60 academic sources, this study collected and coded over 2900 claims on MBSE. Our findings determine the most positive attributes of MBSE to be Verification & Validation Capability, Consistency, Reasoning, and Risk & Error Manageability, while the most negative attributes were Approach Understandability, Acceptability, Familiarity, and Approach Complexity. The most‐stated benefits were Reduced Time, Better Communication/Information Sharing, Reduced Costs, and Better Analysis Capability. The most claimed drawbacks were Increased Costs, Increased Time, Increased Effort, and Worsened Capability. A large share of claims (47%) about MBSE was based on author opinions. Most claims (86%) were not substantiated by a metric.
Combining dimensional analysis with model based systems engineering
Authors: Martínez‐Rojas Juan A. , Fernández‐Sánchez José L. 
Published: October 2022

AbstractThe model based systems engineering (MBSE) approach describes a system using consistent views to provide a holistic model as complete as possible. MBSE methodologies end with the physical architecture of the system, but a physical model is clearly incomplete without the study of its associated physical laws and phenomena related to the whole system or its parts. However, the computational demands could be excessive even for modest projects. Dimensional analysis (DA) is common in fluid dynamics and chemical engineering, but its application to systems engineering is still limited. We describe an engineering methodological process, which incorporates DA as a powerful tool to understand the physical constraints of the system without the burden of complex analytical or numerical calculations. A detailed example describing a microantenna is presented showing the benefits of this approach. The selected example describes a problem rarely covered in modern expositions of DA in order to show the wide benefit of these techniques. The information provided by this analysis is very useful to select the best physically realizable architectures, testing design, and conduct trade‐off studies. The complexity of modern systems and systems of systems demands new testing procedures in order to comply with increasingly demanding requirements and regulations. This can be accomplished through research in new DA methods. Finally, this article serves as a fairly comprehensive guide to the use of DA in the context of MBSE, detailing its strengths, limitations, and controversial issues.
Magnetic resonance imaging and pathological characteristics of Cladophialophora encephalitis in a young dog
Authors: Tolbert Alexis , Weyna Alisia , Sakamoto Kaori , Perlini Michael , Platt Simon 
Published: October 2022

AbstractA 1‐year‐old dog was presented for persistent neck pain and circling. Magnetic resonance imaging revealed a large, space‐occupying, intra‐axial mass with extensive surrounding vasogenic oedema affecting the left thalamus and hippocampus. Postmortem histopathology of the brain lesion identified fungal hyphae with significant local brain reaction. Fungal sequencing confirmed Cladophialophora bantiana. Magnetic resonance imaging findings can look similar to other inflammatory processes or even neoplasia. While histopathology of the lesions may not always identify fungal hyphae, it will often confirm necrosis, pyogranulomatous inflammation and perivascular cuffing with lymphocytes. Cerebral phaeohyphomycosis should be included in the differential diagnosis list in a young dog with intracranial neurologic deficits.
Cultural Identity and Social and Emotional Wellbeing in Aboriginal and Torres Strait Islander Children
Authors: Fatima Yaqoot , Cleary Anne , King Stephanie , Solomon Shaun , McDaid Lisa , Hasan Md Mehedi , Al Mamun Abdullah , Baxter Janeen 
Published: October 2022

AbstractConnection with Country, community, and culture lies at the heart of Aboriginal and Torres Strait Islander peoples’ health and wellbeing. Although there is some evidence on the role of cultural identity on the mental health of Indigenous adults, this relationship is relatively unexplored in the context of Indigenous Australian children. Robust empirical evidence on the role of cultural identity for social and emotional wellbeing is necessary to design and develop effective interventions and approaches for improving the mental health outcomes for Indigenous Australian children. Drawing on data from the Longitudinal Study of Indigenous Children (LSIC), we explore social and emotional wellbeing in Indigenous Australian children and assesses whether cultural identity protects against social-emotional problems in Indigenous children. The results show that Indigenous children with strong cultural identity and knowledge are less likely to experience social and emotional problems than their counterparts. Our work provides further evidence to support the change from a deficit narrative to a strengths-based discourse for improved health and wellbeing of Indigenous Australian children.
Refugee Children in Australia: Wellbeing and Integration
Authors: Lee Rennie , Cheung Sin Yi 
Published: October 2022

AbstractWhether the children of immigrant populations, including refugees, integrate into the host society is a key challenge facing all countries with large immigrant populations. In Australia, this is crucial given rising numbers and anxieties over refugee settlement in recent decades. Forced migration and displacement due to violence, persecution, or natural disasters with families undertaking perilous journeys fleeing their homes often could mean a turning point and at the same time a stressful event that may have severe negative psychosocial and long-term effects. This can be particularly acute among refugee children, who are typically the least prepared to migrate, have experienced hardship associated with violence and persecution, and must grow up in a new country. From a life course perspective, the integration and wellbeing of refugee children is shaped by the timing and context of migration, including their age at migration and country of origin. In this chapter we draw on longitudinal data from Building a New Life in Australia (BNLA) to offer new evidence in our understanding of the integration and wellbeing of refugee children in Australia and policy recommendations to address the social disadvantages facing this population. Our findings indicate that refugee children are outperforming their parents, making intergenerational progress. However, we find some major differences by gender and national origin across a range of outcomes.
Adolescence a Period of Vulnerability and Risk for Adverse Outcomes across the Life Course: The Role of Parent Engagement in Learning
Authors: Povey Jenny , Plage Stefanie , Huang Yanshu , Gramotnev Alexandra , Cook Stephanie , Austerberry Sophie , Western Mark 
Published: October 2022

AbstractAdolescence is a time when developmental and contextual transitions converge, increasing the risk for adverse outcomes across the life course. It is during this period that self-concept declines, mental health problems increase and when young people make educational and occupational plans for their future. Considerable research has shown that parent engagement in their child’s learning has positive effects on academic and wellbeing outcomes and may be a protective factor in adolescence. However, it is during adolescence that parent engagement typically declines. Most studies focus on early childhood or use cross-sectional designs that do not account for the high variability in both the child’s development and the parent-child relationship over time. In this chapter, we examine the association between parent engagement and students’ outcomes—self-concept, mental health, and educational aspirations—drawing on national data from the Longitudinal Study of Australian Children, while accounting for the school context—school belonging, peer connection problems, and bullying—and parenting styles using panel fixed effects models. We then explore perceptions of parental engagement and educational aspirations among a sample of adolescent students from highly disadvantaged backgrounds using interviews from the Learning through COVID-19 study. Findings show that parent engagement is important for students’ outcomes such as self-concept, mental health and aspirations in early and middle adolescence, even when accounting for family and school context factors. Further, parent engagement in late adolescence, with students from highly disadvantaged backgrounds, continues to be important for positive student outcomes.
Labour Market Participation: Family and Work Challenges across the Life Course
Authors: Broadway Barbara , Kalb Guyonne 
Published: October 2022

AbstractHaving a job is an important indicator of economic and social wellbeing, and two-earner families are becoming the norm rather than the exception. As a result, many more women, including mothers, are in the labour force now than ever before. Balancing family and work responsibilities therefore becomes ever more important, not just for women but also men who are sharing the caring load with their partners, especially when young pre-school children are present. However, employment is not equally distributed across families, and some families have noone in a job which leads to financial vulnerability. Even one-earner families that depend on a low-skilled, low-wage earner may struggle to get by and provide their children with the opportunities to succeed in life and achieve mental, physical and financial wellbeing. This may lead to the intergenerational transmission of disadvantage and poor outcomes from parents to children. Gender inequality and ongoing inequalities relating to gender divisions in work and family may lead to women being particularly vulnerable in terms of earnings capacity and retirement savings when a relationship ends. One-parent families are specifically at risk as they often have no partner with whom to share the care-taking role, making work-family balance difficult to achieve. In this chapter we review the Australian evidence on these issues and provide policy implications.
Model-Driven Engineering in Digital Thread Platforms: A Practical Use Case and Future Challenges
Authors: Chaudhary Hafiz Ahmad Awais , Guevara Ivan , John Jobish , Singh Amandeep , Ghosal Amrita , Pesch Dirk , Margaria Tiziana 
Published: October 2022

AbstractThe increasing complexity delivered by the heterogeneity of the cyber-physical systems is being addressed and decoded by edge technologies, IoT development, robotics, digital twin engineering, and AI. Nevertheless, tackling the orchestration of these complex ecosystems has become a challenging problem. Specially the inherent entanglement of the different emerging technologies makes it hard to maintain and scale such ecosystems. In this context, the usage of model-driven engineering as a more abstract form of glue-code, replacing the boilerplate fashion, has improved the software development lifecycle, democratising the access to and use of the aforementioned technologies. In this paper, we present a practical use case in the context of Smart Manufacturing, where we use several platforms as providers of a high-level abstraction layer, as well as security measures, allowing a more efficient system construction and interoperability.
Cylinder quantum field theories at small coupling
Authors: Dogaru Andrei Ioan , Delgado Ruben Campos 
Published: October 2022

Abstract
We show that any 2D scalar field theory compactified on a cylinder and with a Fourier expandable potential V is equivalent, in the small coupling limit, to a 1D theory involving a massless particle in a potential V and an infinite tower of free massive Kaluza-Klein (KK) modes. Moving slightly away from the deep IR region has the effect of switching on interactions between the zero mode and the KK modes, whose strength is controlled by powers of the coupling, hence making the interactions increasingly suppressed. We take the notable example of Liouville field theory and, starting from its worldline version, we compute the torus (one-loop) partition function perturbatively in the coupling constant. The partition function at leading order is invariant under a T-duality transformation that maps the radius of the cylinder to its inverse and rescales it by the square of the Schwinger parameter of the cylinder. We show that this behavior is a universal feature of cylinder QFTs.
Yano F structures and extended supersymmetry
Authors: Lindström Ulf 
Published: October 2022

Abstract
It is shown how extended supersymmetry realised directly on the (2, 2) semichiral superfields of a symplectic sigma model gives rise to a geometry on the doubled tangent bundle consisting of two Yano F structures on an almost para-hermitian manifold. Closure of the algebra and invariance of the action is discussed in this framework and integrability of the F structures is defined and shown to hold. The reduction to the usual (1, 1) sigma model description and identification with the bi-quaternionic set of complex structures and their properties is elucidated. The F structure formulation should be applicable to many other models and will have an equivalent formulation in Generalised Geometry.