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ELAN-based multimodal discourse analysis of the interactive meanings and persuasive methods in criminal trials
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作者 Hoda Zaiton 《Language and Semiotic Studies》 2025年第4期610-635,共26页
Courtroom interaction is a distinct form of communication.It entails verbal and visual resources and abilities to express meaning,negotiate,and,hence,persuade.The discourse within criminal trials holds particular sign... Courtroom interaction is a distinct form of communication.It entails verbal and visual resources and abilities to express meaning,negotiate,and,hence,persuade.The discourse within criminal trials holds particular significance in determining the paradigm chosen by legal practitioners.The systemic-functional(SF)approach to multimodal discourse analysis explores meaning arises from the use of various semiotic systems in discourse.Primarily based on Systemic Functional Theory(SFT),and with an application of Aristotle’s three standards of persuasion:Ethos,Pathos,and Logos,this study proposes a multimodal persuasive approach to investigate the intersemiotic structures and systems of meaning and persuasive tactics that emerge when vocal and visual resources combine in a criminal courtroom trial.This entails looking at the various language manifestations as persuasive semiosis of useful oratory choice systems.For the goal of a deep,dynamic multimodal persuasion,this study employs ELAN,an interactive,cross-platform multimodal discourse analysis software.With the help of ELAN,annotations of videos and specifications of linguistic types and tiers can be achieved.The analysis reveals that legal discourse in courtrooms is constructed through“choices”made from within and outside linguistic confines.The resulting complex interactions between semiotic modes and material sources demonstrate the need for a multimodal approach to persuasion within the courtroom context. 展开更多
关键词 criminal trial discourse interactive meanings linguistic choices multimodal modes persuasive style persuasive tactics
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Visual Analysis of Eudora Welty's One Time,One Place
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作者 贾君颖 《海外英语》 2017年第6期185-187,共3页
Eudora Welty's One Time,One Place snapped Mississippi featuring Jackson,Hinds County,Yazoo County,Utica and so on.These photographs of daily life stories,most of which were taken without the awareness of the peopl... Eudora Welty's One Time,One Place snapped Mississippi featuring Jackson,Hinds County,Yazoo County,Utica and so on.These photographs of daily life stories,most of which were taken without the awareness of the people photographed,show an aesthetic vi-sion that reveals the real life of Mississippi in the 1930 s.They also show that a fiction writer's camera records people's life and citylandscapes that are somewhat different from what we see in newspapers or geography books.The unique angles chosen and the specialmoments captured by Welty make these photographs worth a careful attention.Visual Grammar is used to examine and analyze the innerworld of the people photographed by Welty.By analyzing three photographs through action processes,reactional processes,and symbolicprocesses as well as by studying the systems of Contact and Social Distance of the photographs,representational meaning and interactivemeaning are explored.The system of information value is also studied to find out how the compositional meaning is realized in the photo-graphs.After a thorough study,the lost inner worlds of the people photographed by Welty can be exposed. 展开更多
关键词 visual grammar representational meaning interactive meaning compositional meaning inner worlds LOST
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Generalized Markov interacting branching processes 被引量:2
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作者 Junping Li Anyue Chen 《Science China Mathematics》 SCIE CSCD 2018年第3期545-562,共18页
We consider a very general interacting branching process which includes most of the important interacting branching models considered so far. After obtaining some key preliminary results, we first obtain some elegant ... We consider a very general interacting branching process which includes most of the important interacting branching models considered so far. After obtaining some key preliminary results, we first obtain some elegant conditions regarding regularity and uniqueness, Then the extinction vector is obtained which is very easy to be calculated. The mean extinction time and the conditional mean extinction time are revealed.The mean explosion time and the total mean life time of th, processes are also investigated and resolved. 展开更多
关键词 generalized Markov interacting branching process regularity extinction probability mean extinction time mean explosive time total mean life time
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Approximating Nash Equilibrium for Optimal Consumption in Stochastic Growth Model with Jumps
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作者 Li Jun BO Tong Qing LI 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2022年第9期1621-1642,共22页
In this paper,we study a class of dynamic games consisting of finite agents under a stochastic growth model with jumps.The jump process in the dynamics of the capital stock of each agent models announcements regarding... In this paper,we study a class of dynamic games consisting of finite agents under a stochastic growth model with jumps.The jump process in the dynamics of the capital stock of each agent models announcements regarding each agent in the game occur at Poisson distributed random times.The aim of each agent is to maximize her objective functional with mean-field interactions by choosing an optimal consumption strategy.We prove the existence of a fixed point related to the so-called consistence condition as the number of agents goes large.Building upon the fixed point,we establish an optimal feedback consumption strategy for all agents which is in fact an approximating Nash equilibrium which describes strategies for each agent such that no agent has any incentive to change her strategy. 展开更多
关键词 Stochastic growth jump processes mean field interaction optimal consumption fixed point approximating Nash equilibrium
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Spatial Localization for Nonlinear Dynamical Stochastic Models for Excitable Media
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作者 Nan CHEN Andrew J.MAJDA Xin T.TONG 《Chinese Annals of Mathematics,Series B》 SCIE CSCD 2019年第6期891-924,共34页
Nonlinear dynamical stochastic models are ubiquitous in different areas.Their statistical properties are often of great interest,but are also very challenging to compute.Many excitable media models belong to such type... Nonlinear dynamical stochastic models are ubiquitous in different areas.Their statistical properties are often of great interest,but are also very challenging to compute.Many excitable media models belong to such types of complex systems with large state dimensions and the associated covariance matrices have localized structures.In this article,a mathematical framework to understand the spatial localization for a large class of stochastically coupled nonlinear systems in high dimensions is developed.Rigorous mathematical analysis shows that the local effect from the diffusion results in an exponential decay of the components in the covariance matrix as a function of the distance while the global effect due to the mean field interaction synchronizes different components and contributes to a global covariance.The analysis is based on a comparison with an appropriate linear surrogate model,of which the covariance propagation can be computed explicitly.Two important applications of these theoretical results are discussed.They are the spatial averaging strategy for efficiently sampling the covariance matrix and the localization technique in data assimilation.Test examples of a linear model and a stochastically coupled Fitz Hugh-Nagumo model for excitable media are adopted to validate the theoretical results.The latter is also used for a systematical study of the spatial averaging strategy in efficiently sampling the covariance matrix in different dynamical regimes. 展开更多
关键词 Large state dimensions DIFFUSION Mean field interaction Spatial averaging strategy Efficiently sampling
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