continuum model
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2022 ◽  
Vol 389 ◽  
pp. 114400
Author(s):  
Huaiqian You ◽  
Yue Yu ◽  
Stewart Silling ◽  
Marta D’Elia

Author(s):  
Aboutaleb Amiri ◽  
Romain Mueller ◽  
Amin Doostmohammadi

Abstract The presence and significance of active topological defects is increasingly realised in diverse biological and biomimetic systems. We introduce a continuum model of polar active matter, based on conservation laws and symmetry arguments, that recapitulates both polar and apolar (nematic) features of topological defects in active turbulence. Using numerical simulations of the continuum model, we demonstrate the emergence of both half- and full-integer topological defects in polar active matter. Interestingly, we find that crossover from active turbulence with half- to full-integer defects can emerge with the coexistence region characterized by both defect types. These results put forward a minimal, generic framework for studying topological defect patterns in active matter which is capable of explaining the emergence of half-integer defects in polar systems such as bacteria and cell monolayers, as well as predicting the emergence of coexisting defect states in active matter.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fan Mingyue ◽  
Juliet Wanza Ndavi ◽  
Sikandar Ali Qalati ◽  
Lin Huang ◽  
Pu Zhengjia

PurposeStudying mobile learning – the use of electronic devices (i.e. cellphone and tablets) to engage in learning across multiple contexts via connection to peers, media, experts and the larger world is a relatively new academic enterprise. This study analyzes the influencing factors of mobile learning (M-learning) motivation based on the time continuum model of motivation (TCMM).Design/methodology/approachThe study uses structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to verify relationships between mobile learning motivation, attitude, need, stimulation, emotion, ability and reinforcement. Justification for the use of both methods lies in the complementarity relationships that existed between the variables and research methodologies. The sample contains 560 mobile learners' feedback.FindingsResults show that attitude, need, emotion, ability and reinforcement are important factors to enhance mobile learning motivation, while stimulation is not.Practical implicationsThis work highlights the importance of training for app designers on how to design an M-learning App with high learning motivation by paying prior attention to learning content, teaching team and online learning communities.Originality/valueThis study proposes three precise solutions (scholars, managers and practitioners) to improve learning motivation based on the categorization of mobile learners.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0226.


2022 ◽  
pp. 109861112110663
Author(s):  
Kyle McLean ◽  
Arif Alikhan ◽  
Geoffrey P. Alpert

Policing research and use of force policies have been guided by the continuum model for the past several decades. The continuum specifies a relationship between the amount of resistance a suspect presents and the amount of force that an officer should use to respond to or overcome a given level of resistance. In this paper, we show that resistance alone is an insufficient indicator of the necessity and level of force to be used both conceptually and empirically. We argue for the inclusion of considerations of perceived threat in the analysis of use of force incidents—both in policy and in research. Our analysis also reiterates the importance of police culture in understanding use of force decisions.


2022 ◽  
Vol 43 (1) ◽  
pp. 1-20
Author(s):  
Binying Wang ◽  
Jinxing Liu ◽  
A. K. Soh ◽  
Naigang Liang

AbstractWe have proposed an “exact” strain gradient (SG) continuum model to properly predict the dispersive characteristics of diatomic lattice metamaterials with local and nonlocal interactions. The key enhancement is proposing a wavelength-dependent Taylor expansion to obtain a satisfactory accuracy when the wavelength gets close to the lattice spacing. Such a wavelength-dependent Taylor expansion is applied to the displacement field of the diatomic lattice, resulting in a novel SG model. For various kinds of diatomic lattices, the dispersion diagrams given by the proposed SG model always agree well with those given by the discrete model throughout the first Brillouin zone, manifesting the robustness of the present model. Based on this SG model, we have conducted the following discussions. (I) Both mass and stiffness ratios affect the band gap structures of diatomic lattice metamaterials, which is very helpful for the design of metamaterials. (II) The increase in the SG order can enhance the model performance if the modified Taylor expansion is adopted. Without doing so, the higher-order continuum model can suffer from a stronger instability issue and does not necessarily have a better accuracy. The proposed SG continuum model with the eighth-order truncation is found to be enough to capture the dispersion behaviors all over the first Brillouin zone. (III) The effects of the nonlocal interactions are analyzed. The nonlocal interactions reduce the workable range of the well-known long-wave approximation, causing more local extrema in the dispersive diagrams. The present model can serve as a satisfactory continuum theory when the wavelength gets close to the lattice spacing, i.e., when the long-wave approximation is no longer valid. For the convenience of band gap designs, we have also provided the design space from which one can easily obtain the proper mass and stiffness ratios corresponding to a requested band gap width.


2021 ◽  
Vol 5 (4) ◽  
pp. 456-464
Author(s):  
Zijie Wang ◽  
Jun Yao ◽  
Xia Yan ◽  
Hai Sun ◽  
Yongfei Yang

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