Transcreation in Advertisement Slogans from the Perspective of Communicative Translation Theory

Through in-depth analysis of advertisement slogans,the present study probes into the unique contribution of trancreation in conveying brand messages and triggering emotional resonance of the audience.The study firstly outlines theoretical basis of transcreation from the perspective of Communicative Translation Theory,emphasizing its uniqueness in the traditional translation paradigm.Then the four key steps of transcreation,including in-depth understanding of the brand essence,sensitive response to cultural differences,flexible use of language skills,and incorporation of creative elements,are examined by means of case analysis in advertisement translation.Finally,the article sums up the positive impact of transcreation on cultural exchange,brand communication and translation field,particularly in the era of globalisation.

A Statistical Theory of Language Translation Based on Communication Theory

We propose the first statistical theory of language translation based on communication theory. The theory is based on New Testament translations from Greek to Latin and to other 35 modern languages. In a text translated into another language, all linguistic variables do numerically change. To study the chaotic data that emerge, we model any translation as a complex communication channel affected by “noise”, studied according to Communication Theory applied for the first time to this channel. This theory deals with aspects of languages more complex than those currently considered in machine translations. The input language is the “signal”, the output language is a “replica” of the input language, but largely perturbed by noise, indispensable, however, for conveying the meaning of the input language to its readers. We have defined a noise-to-signal power ratio and found that channels are differently affected by translation noise. Communication channels are also characterized by channel capacity. The translation of novels has more constraints than the New Testament translations. We propose a global readability formula for alphabetical languages, not available for most of them, and conclude with a general theory of language translation which shows that direct and reverse channels are not symmetric. The general theory can also be applied to channels of texts belonging to the same language both to study how texts of the same author may have changed over time, or to compare texts of different authors. In conclusion, a common underlying mathematical structure governing human textual/verbal communication channels seems to emerge. Language does not play the only role in translation;this role is shared with reader’s reading ability and short-term memory capacity. Different versions of New Testament within the same language can even seem, mathematically, to belong to different languages. These conclusions are everlasting because valid also for ancient Roman and Greek readers.

An Argument for Public Health:The Centrality of Communication Theory in Making Comprehensive and Effective Public Health Messages

This paper calls for the centrality of the rhetorical processes of communication as fundamental to public health,and it argues that the study of rhetorical theory,techniques of argumentation and the histories and limits of language is fundamental and,indeed,ethical to successful public health.This paper will propose a practical,epistemological framework for the cocreation of public health messages within populations.Bolstered by a deliberative process,this paper proposes the reclaiming of the public nature of public health,by examining context,tropes,and cultural/rhetorical tools to make for a more robust and constitutive model for effective public health messages.

A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models

The springing up of large language models(LLMs)has shifted the community from single-task-orientated natural language processing(NLP)research to a holistic end-to-end multi-task learning paradigm.Along this line of research endeavors in the area,LLM-based prompting methods have attracted much attention,partially due to the technological advantages brought by prompt engineering(PE)as well as the underlying NLP principles disclosed by various prompting methods.Traditional supervised learning usually requires training a model based on labeled data and then making predictions.In contrast,PE methods directly use the powerful capabilities of existing LLMs(e.g.,GPT-3 and GPT-4)via composing appropriate prompts,especially under few-shot or zero-shot scenarios.Facing the abundance of studies related to the prompting and the ever-evolving nature of this field,this article aims to 1)illustrate a novel perspective to review existing PE methods within the well-established communication theory framework,2)facilitate a better/deeper understanding of developing trends of existing PE methods used in three typical tasks,and 3)shed light on promising research directions for future PE methods.

Matching Consequences and Causes in Crisis Public Relations

This exploratory study examines the phenomenon of consequence cause matching,which is based on the representativeness heuristic,from cognitive psychology,upon crisis management and public relations.A 2(Large Scale Crisis vs.Small Scale Crisis)×2(Large Scale Cause vs.Small Scale Cause)mixed factorial design experiment was conducted based upon a hypothetical crisis scenario.This study found initial evidence that consequence cause matching is a phenomenon that can impact the process of attribution for a crisis.It highlights a potential new area of theoretical growth for the situational crisis communication theory.

MDL-based root-mean-squared delay spread estimation for MIMO OFDM systems

This paper studied the application of minimum description length (MDL) criterion for estimating root-mean-squared (RMS) delay spread (RDS) for MIMO OFDM systems. The analytic relationship between the powers and the correlation matrix of multipath components established the feasibility of the application of the MDL criterion to RDS estimation. The estimator presented both the estimate of instantaneous RDS and the estimates of noise variance, channel power and SNR of current channel with low computational complexity. Given the powers of the estimated multipath components, the MDL criterion was adopted to acquire the number of paths and the time delays of each path of current channel without making eigendecomposition of the correlation matrix normally required by MDL criterion, following which the noise variance and the power of each path can be estimated. The power delay profile (PDP) and RDS of the current channel were achieved. Simulation results showed that the proposed estimator was insensitive to variance of SNR and robust against frequency-selectivity.

Security-aware Signal Packing Algorithm for CAN-based Automotive Cyber-physical Systems

Network and software integration pose severe challenges in cyber-security for controller area network (CAN)-based automotive cyber-physical system (ACPS), therefore we employ message authentication code (MAC) to defend CAN against masquerade attack, but the consequent bandwidth overhead makes it a necessity to find the tradeoff among security, real-time and bandwidth utilization for signal packing problem (SPP) of CAN. A mixed-security signal model is firstly proposed to formally describe the properties and requirements on security and real-time for signals, and then a mixed-integer linear programming (MILP) formulation of SPP security-aware signal packing (SASP) is implemented to solve the tradeoff problem, where the bandwidth utilization is improved and the requirements in both security and real-time are met. Experiments based on both society of automotive engineers (SAE) standard signal set and simulated signal set showed the effectiveness of SASP by comparing with the state-of-the-art algorithm. © 2014 Chinese Association of Automation.

An Algebraic Detection Approach for Control Systems under Multiple Stochastic Cyber-attacks

In order to compromise a target control system successfully, hackers possibly attempt to launch multiple cyberattacks aiming at multiple communication channels of the control system. However, the problem of detecting multiple cyber-attacks has been hardly investigated so far. Therefore, this paper deals with the detection of multiple stochastic cyber-attacks aiming at multiple communication channels of a control system. Our goal is to design a detector for the control system under multiple cyberattacks. Based on frequency-domain transformation technique and auxiliary detection tools, an algebraic detection approach is proposed. By applying the presented approach, residual information caused by different attacks is obtained respectively and anomalies in the control system are detected. Sufficient and necessary conditions guaranteeing the detectability of the multiple stochastic cyber-attacks are obtained. The presented detection approach is simple and straightforward. Finally, two simulation examples are provided, and the simulation results show that the detection approach is effective and feasible. © 2014 Chinese Association of Automation.

The Performance Analysis of Traffic Channel Coding in Digital Trunking System

The encoding and decoding processes of traffic channel in digital trunking system are studied. On the basis of computer simulation, the BER (bit error ratio) with different RCPC decoding step is analyzed. As a result, the optimal RCPC decoding step is provided, which gives essential theoretical evidences for the implementation of digital trunking system.

The Novel Spectrum Allocation Algorithm in Cognitive Radio System

In order to reduce the disturbance on an authorizing user and lower the competition between cognitive users, assure the normal communication of a cognitive radio system, reliability theory is applied to describe if a channel can be used by a cognitive user or not and the probability that the channel is continually used for a period. Three aspects including space, time domain and frequency domain are united for the research on the distribution of frequency spectrum. The simulation result shows that, in the space domain, time domain, frequency domain algorithm, the transmitted data volume and the total throughput of the system are superior to those in greedy algorithm and time domain—frequency domain algorithm, the novel algorithm is helpful to reduce the disturbance caused by a cognitive user to an authorizing user and lower the competition between cognitive users, this simulation result shows that the proposed algorithm is effective.

FUNDAMENTAL COMMUNICATIONS THEORIES AND SIGNAL PROCESSING TECHNIQUES FOR AMORPHOUS CELLULAR SYSTEMS

The rapid developing of the fourth generation(4G)wireless communications has aroused tremendous demands for high speed data transmission due to the dissemination of various types of the intelligent user terminals as well as the wireless multi-media services.It is predicted that the network throughput will increase

A Simple Superresolution Approach of Multipath Delay Profiles Measured by PN Correlation Method

Time resolution of multipath delay profiles measured by using autocorrelation of pseudonoise (PN) code sequence is generally limited by the chip rate of the PN code sequence. In this paper, we propose a simple method to improve the time resolution of delay profiles measured by the PN correlation method. Effectiveness of this method is demonstrated by indoor wireless propagation experiments.

Natural Gradient Approach to Multichannel Blind Deconvolution

In this paper we study the geometrical structures of FIR filters and their application to multichannel blind deconvolution. First we introduce a Lie group structure and a Riemannian structure on the manifolds of the FIR filters. Then we derive the natural gradients on the manifolds using the isometry of the Riemannian metric. Using the natural gradient, we present a novel learning algorithm for blind deconvolution based on the minimization of mutual information. Some properties of the learning algorithm, such as equivariance and stability are also studied. Finally, the simulations are given to illustrate the effectiveness and validity of the proposed algorithm.

Ready or Not: Quezon City Mayor Joy Belmonte and Her Crisis Response Strategy During the COVID-19 Pandemic

Using Situational Crisis Communication Theory(SCCT)by Coombs(2007),this study analyses the case of Quezon City Mayor Joy Belmonte’s CoViD-19 Crisis and her crisis response strategy to address the situation.The study looks at the crisis communication of Quezon City on issues stemming from the Covid-19 pandemic.The SCCT provides a framework for the organization facing a different complex case of crisis to protect the reputational organization’s assets.The organization’s ability to select the most appropriate and beneficial response helps them deal with an emergency and crisis(Coombs,2007).Simultaneously,in this paper,SCCT was used to examine the stakeholder’s perceptions about the organization’s action and response by Mayor Belmonte on the crisis.This paper concludes Mayor Belmonte did not follow the recommendations of SCCT by combining Deny,such as Attacks the Accuser,Deny and Scapegoat tactics,and Diminish strategies such as Excuse and Justice tactics,to respond to the wide variety of stakeholder’s groups.Mayor Belmonte’s crisis response strategies and tactics do not align with the SCCT.The theory recommends corrective action and response such as Rebuild as well as Bolstering strategies are“considered as the most effective communication of crisis response strategy when an organization perceived a strong attribution of crisis responsibility and results in a severe reputational threat”(Coombs,2007).By reviewing the situation that Mayor Belmonte faced,this paper concludes that she was under severe threat.Mayor Belmonte’s CoViD-19 crisis is the preventable cluster based on the overall stakeholder’s perception of the crisis.The preventable cluster considered her primary,secondary,and additional stakeholders.It depicted an organizational misdeed with and without injuries,and the appropriate responses to adapt to re-establish the organization’s reputation is a Rebuild strategy because interventions such as Compensation and Apology should work to improve the organization’s reputation.Conversely,Mayor Belmonte chose to frequently employ Deny strategy(Attacks the Accuser and Scapegoat)and Diminish strategy(Excuse and Justice)to respond to various stakeholders.

Organizational Leadership in a Postmodern World： Practical Implications for Contemporary Religious Leaders

We live in an increasingly postmodern society. American Christianity, however, is imbued in a modem---even pre-modern--paradigm. As a result, many contemporary religious leaders find it difficult to communicate with their postmodern constituents, as evidenced by declining attendance rates and religious affiliation. The present study explores this dilemma by offering potential implications for contemporary religious leaders to communicate more effectively with emerging/emergent generation（s）. The author begins this exploration, first, by outlining the philosophical tenants of postmodemism： its epistemological, ontological, and axiological assumptions. Second, the author delineates several key characteristics of postmodern religious communication. Next, the author offers three practical implications for organizational leaders： （1） increased use of personal narrative, （2） removal of hierarchal boundary structures, and （3） increased awareness and appreciation for divergent perspectives. The author concludes this study with directions for future research.

Epidemic-Like Proximity-Based Traffic Offloading

Cellular networks are overloaded due to the mobile traffic surge,and mobile social networks(MSNets) can be leveraged for traffic offloading.In this paper,we study the issue of choosing seed users for maximizing the mobile traffic offloaded from cellular networks.We introduce a gossip-style social cascade(GSC) model to model the epidemic-like information diffusion process in MSNets.For static-case and mobile-case networks,we establish an equivalent view and a temporal mapping of the information diffusion process,respectively.We further prove the submodularity in the information diffusion and propose a greedy algorithm to choose the seed users for traffic offloading,yielding a sub-optimal solution to the NP-hard traffic offloading maximization(TOM) problem.Experiments are carried out to study the offloading performance,illustrating that the greedy algorithm significantly outperforms the heuristic and random algorithms,and user mobility can help further reduce cellular load.

Reducing Social Media Attention Inequality in Disasters:The Role of Official Media During Rainstorm Disasters in China

Unequal social media attention can lead to potentially uneven distribution of disaster-relief funds,resulting in long-term inequality among regions after disasters.This study aimed to measure inequalities in social media attention to regions during disasters and explore the role of official media in reducing such inequality.This is performed by employing social media,official media,and official aggregated statistics regarding China's rainstorm disasters.Through a set of panel-data regressions and robustness tests,three main conclusions were drawn:(1)There were inequalities among regions regarding social media attention they received during rainstorm disasters.For disasters of the same magnitude,regions with low economic outcome per capita received less attention on social media.(2)Official media can reduce inequality in social media attention during disasters.Official media statements can encourage netizens to pay attention to disaster-stricken areas,and especially the overlooked underdeveloped areas.(3)Of all the measures taken by official media,timely,accurate,and open disclosure of disaster occurrences proved to be the most potent means of leveling the playing field in terms of social media attention;contrarily,promotional or booster-type messages proved futile in this regard.These findings revealed the vulnerabilities within social media landscapes that aff ect disaster relief response,shedding light on the role of official guidance in mitigating inequalities in social media attention during such crises.Our study advises social media stakeholders and policymakers on formulating more equitable crisis communication strategies to bridge the gap in social media attention and foster a more balanced and just relief process.

The Values of Confucian Benevolence and the Universality of the Confucian Way of Extending Love

The spirit of Confucianism, which holds benevolence as its core value, has positive significance in the dialogue between civilizations and in the construction of global ethics. The values represented in Confucian benevolence are similar to the values in Christian Charity. Confucian values such as the doctrine of magnanimity, the idea of putting oneself in the place of another, and the Confucian way of extending love and favors, are crucial resources to hold in close connection with the relationship between human beings and nature, individuals and society, self and others, and one and oneself. The Confucian idea of ＂differentiated love＂ is a concrete and practical idea, which can be extended to be ＂universal love.＂ Furthermore, the Confucian way of extending love can also be interpreted as eco-ethical： On the one hand, Confucianism affirms the intrinsic value of the universe and calls for a universal moral concern for the ecological world; on the other hand, it recognizes a distinction between human beings and the nature, revealing an eco-ethical awareness of distinction and a consciousness of the differentiation between different ethical spheres. In extracting the instrumental value of ecological resources, Confucians never disregard the intrinsic value of animals and plants. Confucianism puts emphasis on subjectivity, especially the subjectivity of morality. Relationships between man and himself, between self and others, however, are inter-subjective. For Confucians, the universe exists and grows in the process of perfecting oneself, others, and the world. Such an understanding is of modem significance for the exchange and dialogue between civilizations, and the growth of personality and the mental regulation of gentleman today.

A novel technique for wireless optical communications with lenslet array processor

A novel communication technique is proposed, which utilizes a set of mutually distinguishable optical patterns instead of convergent facula to transmit information. Then the capacity is increased by exploiting the optical spatial bandwidth resources. At last, we experimentally demonstrate the proposed communication technique based on four 8 × 8 spatial pattern signals by using lenslet array processor.

Blind frequency offset estimation based on cyclic prefix and virtual subcarriers in CO-OFDM system

A new blind frequency offset estimation method based on cyclic prefix and virtual subcarriers in coherent optical orthogonal frequency division multiplexing （CO-OFDM） system is presented. It is able to estimate the fractional part and integral part of frequency offset at the same time. Its estimation range is about [-3.5 GHz, 3.5 GHz]. The influence of the integral frequency offset is comprehensively analyzed in COOFDM system. Its performances in the additive white Gaussian noise （AWGN） channel and the dispersive channel are investigated, respectively. Simulation results indicate that even in the dispersive channel, when the optical signal-to-noise ratio （OSNR） is low, it can still work very well.