Hasil untuk "Information theory"

Ralph Anjelo R. Rueco

This study explored the competence and confidence of pre-service teachers in discerning fake news as empirical bases for the development of a contextualized media literacy training module. Grounded in Information Processing Theory and Media Literacy Theory, the research employed a sequential explanatory mixed-methods design conducted at Cagayan State University, Andrews Campus, specifically within the College of Teacher Education. Fifty-six fourth-year Bachelor of Secondary Education (BSEd) English students were selected through purposive sampling. In the quantitative phase, descriptive statistics were used to determine respondents’ level of competence across six dimensions: headline sensationalism evaluation, content and logical consistency, source credibility and author information, bias and objectivity, visual and media content, and emotional appeal. Results revealed an overall Basic level of competence (M = 3.40), with strengths in emotional appeal and source credibility but significant weaknesses in bias detection and logical consistency. Meanwhile, respondents reported confidence to a great extent across awareness, comprehension, analysis, evaluation, advanced critical thinking, and active engagement domains, indicating a notable confidence–competence gap. The qualitative phase, analyzed through thematic analysis, identified both positive practices (e.g., source verification, cross-checking, contextual evaluation) and malpractices (e.g., reliance on virality, emotional bias, impulsive sharing, superficial trust in visuals). Findings highlighted inconsistencies between perceived ability and actual evaluative performance. Based on these findings, the results will be utilized in planning and developing an evidence-based Media Literacy Training Module aimed at combating fake news. The proposed module will focus on addressing identified competence gaps by strengthening analytical reasoning, ethical information consumption, emotional regulation, and critical engagement, aligned with SDG 4.7 and SDG 16.10. Overall, the study underscores the need for structured, skill-based media literacy interventions in teacher education programs to bridge the confidence–competence gap and prepare future educators to fight misinformation effectively.

E. A. Salikhova

This study investigates the textual content of two online treasure hunting groups from a communicative-pragmatic and socio-psycholinguistic perspective. It examines how specific linguistic features function within these texts, including polymodal text, semantically depleted language units, implicatures, and others. Fifty posts with accompanying images as well as ten video publications from participants' web pages were analyzed for each group representing Bashkortostan and Orenburg regions. The study introduces data on implicit meanings that are activated through both textual and polymodal communication means. Comparative analysis between the online communities of Bashkortostan and Orenburg is presented. Additionally, attention is given to speech activity theory, which allows us to consider audience-directed information based on the communicator's intention and their chosen methods — verbal or audiovisual — for presenting this information across social networks. In light of increased virtual interaction, the object of scientific inquiry becomes discursive text, influencing various perceptual channels among group members. The conclusion emphasizes that pragmatic strategies used by internet-based treasure hunting communities create certain behavioral models due to their reliance on pragmalinguistic tools.

Siang Cheng, Hejun Xu, Tianxiao Pang

This paper introduces a comprehensive framework for complex-valued probability measures and explores their novel applications in information theory and statistical analysis. We define a complex probability measure as a phase-modulated extension of a classical probability measure. Building upon this foundation, we propose three fundamental information-theoretic quantities: complex entropy, which quantifies distribution uniformity through phase coherence; complex divergence, an asymmetric measure of dissimilarity between distributions; and the complex metric, a symmetric distance function satisfying the triangle inequality. We establish these concepts rigorously for both continuous and discrete probability distributions, proving key properties such as boundedness, continuity under total variation convergence, and clear extremal behaviors. A detailed comparative analysis with classical measures (Shannon entropy and Kullback-Leibler divergence) highlights the unique geometric and interpretive advantages of the proposed framework, particularly its sensitivity to distributional shape via a tunable phase parameter. We elucidate a profound formal analogy between the complex entropy integral and Feynman's path integral formulation of quantum mechanics, suggesting a deeper conceptual bridge. Finally, we demonstrate the practical utility of the complex metric through a detailed application in nonparametric two-sample hypothesis testing, outlining the testing procedure, advantages, limitations, and providing a conceptual simulation. This work opens new avenues for analyzing probability distributions through the lens of complex analysis and interference phenomena, with potential impacts across information theory, statistical inference, and machine learning.

Valeria Rosalia Vergara, Chiara Bara, Andrea Zaccaro et al.

<italic>Goal:</italic> Brain-heart interactions have been linked to physiological and pathological states and are typically studied through the use of electroencephalographic (EEG) signal and heart rate variability (HRV) time series. However, there are still major challenges to overcome, particularly in establishing a robust methodology to assess these complex multi-scale interactions and to extract meaningful information. To this end, we explore the time scale-dependent nature of brain-heart interactions by exploiting information-theoretic measures. <italic>Methods:</italic> We analyze cardiac vagal activity and EEG brain wave amplitudes at two time scales&#x2014;heart rhythm (<inline-formula><tex-math notation="LaTeX">$\sim$</tex-math></inline-formula>1 s) and longer (<inline-formula><tex-math notation="LaTeX">$\sim$</tex-math></inline-formula>1 min)&#x2014;in two groups of healthy subjects monitored during wakefulness and sleep, respectively. Different entropy-based measures are then employed to evaluate the regularity of each system&#x0027;s dynamics, as well as their static and dynamic coupling. <italic>Results:</italic> Different time-scales are involved in different physiological coupling mechanisms. While overall coupling strength values are low, longer time-scales show a stronger presence of coupling in terms of statistically validated brain-heart connections compared to shorter time-scales. <italic>Conclusions:</italic> This study shows that the presence and the strength of brain-heart interactions are highly dependent on the time-scale, which in turn is affected by the underlying physiological processes.

Sathishkumar Moorthy, Sachin Sakthi Kuppusami Sakthivel, Young Hoon Joo et al.

Nonholonomoic mobile robots (NMRs) are widely used in logistics transportation and industrial production, with motion control remaining a key focus in current WMR research. However, most previously developed controllers assume ideal conditions without considering motion slippage. Neglecting slippage factors often leads to reduced control performance, causing instability and deviation from the robot’s path. To address such a challenge, this paper proposes an intelligent method for estimating the longitudinal wheel slip, enabling effective compensation for the adverse effects of slippage. The proposed algorithm relies on the development of an adaptive trajectory tracking controller for the leader robot. This controller enables the leader robot to accurately follow a virtual reference trajectory while estimating the actual slipping ratio with precision. By employing this approach, the mobile robot can effectively address the challenge of wheel slipping and enhance its overall performance. Next, a distributed observer is developed for each NMR that uses both its own and adjacent robot’s information to determine the leader’s state. To solve this difficulty for the follower robot to receive the states of the leader in a large group of robots, distributed formation controllers are designed. Further, Lyapunov stability theory is utilized to analyze the convergence of tracking errors that guarantees multi-robot formation. At last, numerical simulations on a group of NMR are provided to illustrate the performance of the designed controller. The leader robot achieved a low RMSE of 1.7571, indicating accurate trajectory tracking. Follower robots showed RMSEs of 2.7405 (Robot 2), 3.0789 (Robot 4), and 4.3065 (Robot 3), reflecting minor variations due to the distributed control strategy and local disturbances.

George M. Coghill

A classic account of the quantification of semantic information is that of Bar-Hiller and Carnap. Their account proposes an inverse relation between the informativeness of a statement and its probability. However, their approach assigns the maximum informativeness to a contradiction: which Floridi refers to as the Bar-Hillel-Carnap paradox. He developed a novel theory founded on a distance metric and parabolic relation, designed to remove this paradox. Unfortunately is approach does not succeed in that aim. In this paper I critique Floridi's theory of strongly semantic information on its own terms and show where it succeeds and fails. I then present a new approach based on the unit circle (a relation that has been the basis of theories from basic trigonometry to quantum theory). This is used, by analogy with von Neumann's quantum probability to construct a measure space for informativeness that meets all the requirements stipulated by Floridi and removes the paradox. In addition, while contradictions and tautologies have zero informativeness, it is found that messages which are contradictory to each other are equally informative. The utility of this is explained by means of an example.

Sophia Annette Dove, Shamshad Khan, Kimberly N. Kline

While the repercussions of the novel Coronavirus or COVID-19 have been felt across the world over the past few years, the impact has not been consistent. Instead, it has been mediated by the systemic ways in which existing social and structural disparities have failed vulnerable populations globally. Drawing on document analysis and fifteen in-depth interviews (n=15) conducted among the key stakeholders in the city of San Antonio, South Central Texas, this paper reveals how structural violence worsened during the COVID-19 pandemic resulting in making it a syndemic pandemic of high rates of deaths and illnesses among the most vulnerable and disadvantaged groups. A grounded theory approach particularly revealed themes of social suffering such as low income and pre-existing medical conditions that contributed to higher mortality rates, the presence of racism and misinformation, the importance of trustworthy communication channels, and streamlined collaborative partnerships with clear and effective communication through all levels of the government, especially when communicating scientific information.

Alvaro H. C. Correia, Fabio Valerio Massoli, Christos Louizos et al.

Conformal Prediction (CP) is a distribution-free uncertainty estimation framework that constructs prediction sets guaranteed to contain the true answer with a user-specified probability. Intuitively, the size of the prediction set encodes a general notion of uncertainty, with larger sets associated with higher degrees of uncertainty. In this work, we leverage information theory to connect conformal prediction to other notions of uncertainty. More precisely, we prove three different ways to upper bound the intrinsic uncertainty, as described by the conditional entropy of the target variable given the inputs, by combining CP with information theoretical inequalities. Moreover, we demonstrate two direct and useful applications of such connection between conformal prediction and information theory: (i) more principled and effective conformal training objectives that generalize previous approaches and enable end-to-end training of machine learning models from scratch, and (ii) a natural mechanism to incorporate side information into conformal prediction. We empirically validate both applications in centralized and federated learning settings, showing our theoretical results translate to lower inefficiency (average prediction set size) for popular CP methods.

Madhura Pathegama, Alexander Barg

Universal hash functions map the output of a source to random strings over a finite alphabet, aiming to approximate the uniform distribution on the set of strings. A classic result on these functions, called the Leftover Hash Lemma, gives an estimate of the distance from uniformity based on the assumptions about the min-entropy of the source. We prove several results concerning extensions of this lemma to a class of functions that are $k^\ast$-universal, i.e., $l$-universal for all $2\le l\le k$. As a common distinctive feature, our results provide estimates of closeness to uniformity in terms of the $α$-R{é}nyi divergence for all $α\in (1,\infty]$. For $1\le α\le k$ we show that it is possible to convert all the randomness of the source measured in $α$-\Renyi entropy into approximately uniform bits with nearly the same amount of randomness. For large enough $k$ we show that it is possible to distill random bits that are nearly uniform, as measured by min-entropy. We also extend these results to hashing with side information.

Mehdi Salimi, Arezoo Taghavy

In the present era, development in professional sports is considered a symbol of a country's power, and undoubtedly, sports marketing guarantees the survival and growth of professional sports. Therefore, this research aimed to provide a comprehensive model of sports marketing development using a mixed-method approach. In the qualitative section, conducted with the Grounded Theory and Glaser's approach, the participants consisted of stakeholders in the research field (university professors, sports marketing researchers, senior managers of federations and prominent sports clubs) in 2021. Fifteen semi-structured in-depth interviews were conducted, and the data obtained from the interviews were analyzed through open, selective, and theoretical coding in three stages. Additionally, second-order factor analysis was used to confirm the identified factors in the qualitative section, validating 128 concepts, 24 sub- category, and 9 main categories. The results showed that the phenomenon of sports marketing development is influenced by various factors, which can be categorized into 9 groups: capital structure, transformation management, strategic operational alignment, process efficiency, information dissemination network, marketing doctrine, governance and management structure, resource allocation, and legal and research compliance. Among the practical aspects of this model, we can mention the identification of the target market, analysis of competitors, determination of competitive advantage, raising the level of difference and differentiation of products and services, and determination of marketing channels more accurately and appropriately.

Sarah Piller, Siegfried Nagel

Introduction Nonprofit sports organisations are valuable sports providers in most European countries. In 2017, there were over 60 million European active sports club members (Nagel et al., 2020). Through the consumption behaviour of this great number of people practicing sports, sport might have a negative impact on the environment (McCullough et al., 2020). Therefore, national sports federations (NSFs), overarching the sports clubs and engaging in sports policy issues, could be crucial when it comes to taking measures concerning the environmental sustainability of sports. Indeed, several NSFs have already launched programmes for environmental sustainability (e.g. Swiss Hang- and Paragliding Association [SHV]). This might be somehow surprising, since the nonprofit organised sport is traditionally primarily committed to the interests of its members and the sport as its core business (Thiel & Mayer, 2009). Thus, the following study addresses the questions, to what extend policies of environmental sustainability appear on the agendas of NSFs and which driving factors are relevant for its agenda setting, formulation and subsequent decision making. Knowledge about those processes is especially important since they are prerequisites for the implementation of environmental policies. Literature review and theoretical background Concerning nonprofit sports organisations and sustainable development, especially the field of social sustainability (e.g. Nagel et al., 2020) has been widely researched. Environmental sustainability however has only limitedly been analysed in this context. Describing the current state of commitment of NSFs to environmental sustainability, it has been found that Belgian NSFs show a rather low commitment, whereas low-intensity initiatives (e.g. recycling of sport equipment) constitute the majority of the identified actions (Hugaerts et al., 2022). The same pattern could be shown in Scandinavia. Sandvik and Seippel (2022) explain this partly with the absence of NSFs’ perceived urgence of environmental problems with direct consequences for the associations’ activities and the lack of institutional pressures. However, so far, there is hardly any knowledge about which factors are relevant for environmental policies being set on NSFs’ agendas, formulated, and decided upon, even though those processes are important as they precede the actual implementation of policies. Considering agenda setting, policy formulation and decision making processes, this study is based on the Multiple Streams Approach with two coupling phases (MSA) of Herweg et al. (2015). For “an ideas’ time to come”, the approach identifies the coupling of three different processes as important. Policies arise, when issues are perceived as problematic (problem stream; e.g. image issues) and depend on the political context of the policy and agenda (political stream, e.g. composition of board). The policy stream contains existing ideas and enables the survival of certain ideas (e.g. idea of developing a climate strategy). Finally, policy entrepreneurs’ agency is necessary to couple the streams and create agenda windows, which allow items to rise onto the decision agenda. In a following second phase, the re-coupling of the same streams and engagement of policy entrepreneurs enables policies to be formulated, decided upon, and eventually be implemented. Methods To observe those processes, we decided to conduct an in-depth qualitative case study with a NSF, that has recently discussed, formulated, and decided upon environmental policies. Since the hang- and paragliding sport is depending on a natural environment affected by climate change, the SHV seemed to be an interesting case for our study, where such processes might already have taken place. The association is committed to the interests and sustainable practice of free flight. It has 112 club and 20,000 individual members, maintains an office with 14 employees and is headed by a board of directors, currently with seven members. Document- and archive entries allowed us a first overview of existing measures of environmental sustainability and the appearance of the topic on the NSF’s agenda. We conducted semi-structured expert interviews with six decision makers of the SHV and with a representative of the umbrella organisation of the Swiss sports system to gain a deeper understanding of the agenda setting, formulation and decision making of environmental policies in the SHV. We then applied causation coding (Miles et al., 2020) to analyse the data, considering a data-led as well as a theory-based coding process along the concept of the MSA. Findings The SHV's commitment to environmental sustainability is based primarily on two pillars: the protection of biodiversity and access to nature on one hand and climate commitment on the other. Whereas voluntary agreements about wildlife rest areas have been made since 1995, climate protection policies are broadly discussed as a part of the strategy and implemented on an operative basis in different departments since the creation of the position of an environmental officer in 2017. If not forced by external political pressure (e.g. flight restrictions), the agenda setting of environmental sustainability (e.g. climate commitment) in the SHV seems to be pushed primarily by the engagement of individual policy entrepreneurs. Policy entrepreneurs thereby mainly highlight the importance of addressing the issue to ensure the long-term survival of the sport and the association (problem stream). The perceived member interests seem to be able to facilitate or impede the agenda setting of the topic (political stream). Nevertheless, members do not appear to be the central entrepreneurs when it comes to actively promoting policies of environmental sustainability onto the agenda. The ideas for such policies rather seem to be found in the practice of similar other NSFs (policy stream). The board of management seems to be less crucial for this process of agenda setting. When it comes to formulation and decision making however, the importance of the board of management is structurally implied. Even though the General Assembly approves amendments and the management of the board, the latter issues directives. Since members of the board do not yet seem to have the necessary knowledge about environmental sustainability to feel competent enough to make the required decisions, thorough information provided by the environmental officers appears to be important. Actors of the association describe policy formulation as a long process, where, in order to make the members of the board feel comfortable enough to make decisions, policies of environmental sustainability “must become a topic first over time”. When it comes to decision making about environmental policies, the (political) background of the members of the board are crucial and can promote or hinder certain decisions. Nevertheless, after getting enough information, suggestions from the administrative office are mostly accepted. Discussion Therefore, engaged policy entrepreneurs seem to be crucial for agenda setting, formulation and, through the impact of their suggestions, decision making processes of environmental policies in the SHV. Policy entrepreneurs do show engagement for their favoured policies even if they are not responsible for that specific topic in the association, but the structural implication of positions in connection with sport- and socio-political developments can additionally promote environmental policies. Even though the agenda setting of such policies does not seem to be a bottom-up process, consistent with the understanding of NSFs as interest-oriented organisations, perceived member interests are central in all three processes. Thereby functional objectives (e.g. enabling sport) are predominant to normative reasons (e.g. environmental responsibility). Furthermore, there seem to be processes that might be explained by the concept of mimetic isomorphism (DiMaggio & Powell, 1983), i.e. the orientation towards practices of similar NSFs in order to gain legitimacy. This pilot study allows an in-depth investigation and enables a first review of the used theoretical and methodological approach. It identifies crucial factors when promoting the agenda setting, formulation and decision making for environmental sustainability in NSFs and utilising the potential of the nonprofit organised sports setting and its leverage in society. It is presented as part of a broader follow-up multiple case study with eight NSFs and a cross-case comparison. Further research must be conducted to allow statements about other types of NSFs (e.g. other types of professionalisation, indoor sports) and further stages of the policy cycle, i.e. the implementation of the policies. References DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147–160. Herweg, N., Huss, C., & Zohlnhöfer, R. (2015). Straightening the three streams: Theorising extensions of the multiple streams framework. European Journal of Political Research, 54(3), 435–449. https://doi.org/10.1111/1475-6765.12089 Hugaerts, I., Scheerder, J., Zeimers, G., Corthouts, J., van de Sype, C., & Könecke, T. (2022). Are sport organisations environmentally sustainable? A website analysis of sport federations in Belgium. European Sport Management Quarterly. Advance online publication. https://doi.org/10.1080/16184742.2022.2093391 McCullough, B. P., Orr, M., & Watanabe, N. M. (2020). Measuring externalities: The imperative next step to sustainability assessment in sport. Journal of Sport Management, 34(5), 393–402. https://doi.org/10.1123/jsm.2019-0254 Miles, M. B., Huberman, A. M., & Saldaña, J. (2020). Qualitative data analysis: A methods sourcebook (4th ed.). SAGE. Nagel, S., Elmose-Østerlund, K., Ibsen, B., & Scheerder, J. (Eds.). (2020). Functions of Sports Clubs in European Societies: A Cross-National Comparative Study. Springer. Sandvik, M. R., & Seippel, Ø. (2022). Framing of environmental issues in voluntary sport organizations. Environmental Politics. Advance online publication. https://doi.org/10.1080/09644016.2022.2075152 Thiel, A., & Mayer, J. (2009). Characteristics of voluntary sports clubs management: A sociological perspective. European Sport Management Quarterly, 9(1), 81-98. https://doi.org/10.1080/16184740802461744

Lin Chen, Shusheng Bi, Jun Cheng et al.

In this paper, the <i>H</i>_∞ and <i>H</i>₂ time-varying formation tracking problems for multi-agent systems with directed topologies in the presence of external disturbances are investigated. The followers need to achieve the desired time-varying formation during movement and simultaneously track the state trajectory generated by the leader. First, a distributed consensus protocol based on the local state information of neighbors of the agents for solving <i>H</i>_∞ and <i>H</i>₂ time-varying formation tracking problems are proposed without utilizing global information about the entire agents. The conditions to achieve <i>H</i>_∞ and <i>H</i>₂ time-varying formation tracking in the presence of external disturbances are suggested respectively. Then, to determine the parameters of the designed protocol which satisfy suitable conditions, algorithms for <i>H</i>_∞ and <i>H</i>₂ time-varying formation tracking in the form of pseudo-code are presented, respectively. Furthermore, the proofs of the proposed theorems are derived by utilizing algebraic graph theory and Lyapunov analysis theory tools to demonstrate the closed-loop stability of the system in the presence of external disturbances. Finally, the usefulness and effectiveness of the approaches proposed are demonstrated by numerical simulation examples.

Janneke van der Stok-Nienhuis, Tonny Beentjes, Dominique Ngan-Tillard et al.

Abstract The structure of five rare filigree spheres from a seventeenth century shipwreck was examined in order to unravel their condition, manufacturing process and function. This study focuses on the application of non-invasive imaging techniques: optical microscopy, X-radiography, X-ray micro-computed tomography and neutron computed tomography. A valuation of different aspects of the applied techniques was made, aiding stakeholders in decision-making on research and conservation. The combination of theory and scientific information was used to obtain an improved understanding of the manufacturing process and function of the filigree spheres.

Blaženka Divjak, Darko Grabar, Barbi Svetec et al.

We present a comprehensive learning design (LD) concept and tool, motivated by the needs identified by higher education (HE) practitioners. The concept and tool aim at implementing contemporary research findings and theory to support balanced LD planning (BDP). The student-centered BDP concept and tool provide innovation to LD planning by strongly focusing on learning outcomes (LOs) and student workload, aligning study program and course level LOs, ensuring constructive alignment and assessment validity, enhancing LD by using learning analytics, and enabling flexible use in different contexts and pedagogical approaches. The ongoing work has been done according to design science methodology, with positive first feedback from HE practitioners. We identify areas for further research and improvement, including testing the BDP tool in real-world HE contexts and its integration with learning management systems. This could help close the gap between intended (often innovative) LDs and their implementation in real teching and learning environments.

Jim Samuel, Rajiv Kashyap, Yana Samuel et al.

Explosive growth in big data technologies and artificial intelligence [AI] applications have led to increasing pervasiveness of information facets and a rapidly growing array of information representations. Information facets, such as equivocality and veracity, can dominate and significantly influence human perceptions of information and consequently affect human performance. Extant research in cognitive fit, which preceded the big data and AI era, focused on the effects of aligning information representation and task on performance, without sufficient consideration to information facets and attendant cognitive challenges. Therefore, there is a compelling need to understand the interplay of these dominant information facets with information representations and tasks, and their influence on human performance. We suggest that artificially intelligent technologies that can adapt information representations to overcome cognitive limitations are necessary for these complex information environments. To this end, we propose and test a novel *Adaptive Cognitive Fit* [ACF] framework that explains the influence of information facets and AI-augmented information representations on human performance. We draw on information processing theory and cognitive dissonance theory to advance the ACF framework and a set of propositions. We empirically validate the ACF propositions with an economic experiment that demonstrates the influence of information facets, and a machine learning simulation that establishes the viability of using AI to improve human performance.

Ronald Mahler

This paper addresses theoretically correct vs. incorrect ways to apply information theory to point processes.

Hamidreza Yaghoti, Azar Tol, Roya Sadeghi et al.

Introduction: Designing behavioral modification interventions for the use of personal protective equipment (PPE) warrants the audiences identification and analysis. This study aimed to determine the predictive factors for using (PPE) based on Social Cognitive Theory (SCT) constructs among workers of Iran Aluminum Factory, 2018. Material and Methods: In this descriptive analytical study with cross-sectional method, a researcher-made questionnaire including demographic information, knowledge questionnaire and designed items based on the SCT construct, was fulfilled by 188 workers employed in production line of Iran Aluminum Factory in Arak. The collected data was analyzed using descriptive statistics, Chi-square and logistic regression analysis on SPSS 24. The significance level was set at P< 0.05. Results: Among the participants, 46.8% (n=88) and 52.2% (n=100) of workers had moderate and high level of knowledge, respectively. Demographic variables such as marital status, educational level, income, age, work experience and employment status (p <0.05), as well as all SCT constructs (p <0.05) had a significant relationship with knowledge. Logistic regression analysis revealed that the level of education and employment status with probability of 80.6% and self-control, environment and self-efficacy of perceived barriers constructs, with a 64% probability could explained workers in high-knowledge group. Conclusion: The present study revealed that the variables such as level of education, employment status, self-control, environment and self-efficacy of perceived barriers could be effective in designing educational interventions to improve workers’ knowledge on using personal protective equipment.

article Editorial

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Xinyun Hu, Mingming Li, Zhihan Lv

From the discourse analysis perspective, ecopolitics has experienced a discourse change from authoritarianism to democracy. This study uses theory of authoritarianism and democracy in ecopolitics to explore the impact of authoritarian ecopolitical discourse (AED) and democratic ecopolitical discourse (DED) on environmental quality in China. After analysis using panel data and comparison of three main regions, results suggest a negative relationship between AED of the central government and environmental quality. By contrast, a positive relationship exists between AED of local governments and environmental quality. A positive relationship exists between DED, which measures the proposals of People’s Congress deputies and Chinese People's Political Consultative Conference (CPPCC), and environmental quality. Nevertheless, the positive effect of DED is weaker than that of AED. The impact is also different among the regions. Our interpretations are as follows. China’s current governance mechanism is a top–down decision-making mechanism, rather than a bottom–up information transmission mechanism. The concentration of power keeps decision-making power and resources away from levels with considerably accurate information and capabilities in problem solving. Therefore, we suggest that governments should change their decision-making process and exert effort to be transparent to the entire society. A bottom–up mechanism of information collection and transmission should be established, such as environmental inspection mechanism and checking on cadres’ achievements with green GDP.

Recep Can Yavas, Victoria Kostina, Michelle Effros

This paper presents finite-blocklength achievability bounds for the Gaussian multiple access channel (MAC) and random access channel (RAC) under average-error and maximal-power constraints. Using random codewords uniformly distributed on a sphere and a maximum likelihood decoder, the derived MAC bound on each transmitter's rate matches the MolavianJazi-Laneman bound (2015) in its first- and second-order terms, improving the remaining terms to $\frac12\frac{\log n}{n}+O \left(\frac 1 n \right)$ bits per channel use. The result then extends to a RAC model in which neither the encoders nor the decoder knows which of $K$ possible transmitters are active. In the proposed rateless coding strategy, decoding occurs at a time $n_t$ that depends on the decoder's estimate $t$ of the number of active transmitters $k$. Single-bit feedback from the decoder to all encoders at each potential decoding time $n_i$, $i \leq t$, informs the encoders when to stop transmitting. For this RAC model, the proposed code achieves the same first-, second-, and third-order performance as the best known result for the Gaussian MAC in operation.