Effects of semantic information of symbols on cultural product design expression: A study of semantic information expression and transmission accuracy

Products imbued with traditional cultural semantic information hold significance in commerce, culture, and the dissemination of information. However, the integration of implicit cultural semantics into the design process of cultural products poses a significant challenge. Key issues include the inaccurate expression of implicit semantics and the inadequacy of semantic information retrieval and inspi-ration. Therefore, we adopt a datadriven approach to achieve symbolic semantic expression in generating and inspiring design concepts for cultural products. In this paper, we utilize the generative pretrained transformer (GPT-3.5) as the base language model (PLM). By analyzing semantic information features in layers and mapping, we identify two design concept generators, fine-tuning them for the automatic retrieval and expression of semantic information. This is undertaken to generate cultural product designs in a natural language form. The method under-goes experimental evaluation, and the results demonstrate that our approach can generate cultural product design concepts containing accurate cultural information.

The rapid development of the digital era and the increasing demands of information technologies create a need to create more reliable, secure and efficient communication systems. In this context, quantum signals represent a technology of the future that responds to the challenges that classical signal systems can no longer cope with — for example, the highest level of information security, accuracy and transmission speed. The use of quantum entanglement, superposition and correlations makes it possible to protect and process information at the highest level. Accordingly, the implementation of quantum signals is critically important for areas such as quantum communication, secure cyberinfrastructure, high-tech sensors and quantum computing systems. The paper reviews the role of quantum signals in modern technologies and their potential in the near future. Quantum signal theory combines the principles of quantum physics, information theory and signal processing. These features provide the highest accuracy in information transmission and processing, which is especially important in the development of quantum communication, quantum radars, and quantum sensors. This paper reviews the theoretical foundations of quantum signals, basic models, and their potential applications in modern technologies.

Because the traditional single-channel information transmission algorithm ignores the real-time control of the transmission data, the signal transmission tracking accuracy is low. For this reason, a target tracking algorithm for multi-channel information transmission in a big data environment is proposed. The algorithm solves the echo signal of each point, determines the transmission range of the multi-channel information, uses the interrupt mechanism to optimize the decoding algorithm, and obtains the position of the data of each point through the classification of the classifier, so as to realize the transmission target tracking of the multi-channel information. The traditional single-channel information transmission algorithm and the target tracking algorithm of multi-channel information transmission are compared and analyzed. The experimental results show that the information transmission and tracking accuracy of the multi-channel information transmission target tracking algorithm in the big data environment is better than that of the traditional single-channel information transmission algorithm The information transmission tracking accuracy is high, and it has a better information transmission tracking effect.KeywordsDigital signalMulti-channelSynchronous transmissionTransmission rate

Cellular processes are inherently noisy, and the selection for accurate responses in presence of noise has likely shaped signalling networks. Here, we investigate the trade-off between accuracy of information transmission and its energetic cost for a mitogen-activated protein kinase (MAPK) signalling cascade. Our analysis of the pheromone response pathway of budding yeast suggests that dose-dependent induction of the negative transcriptional feedbacks in this network maximizes the information per unit energetic cost, rather than the information transmission capacity itself. We further demonstrate that futile cycling of MAPK phosphorylation and dephosphorylation has a measurable effect on growth fitness, with energy dissipation within the signalling cascade thus likely being subject to evolutionary selection. Considering optimization of accuracy versus the energetic cost of information processing, a concept well established in physics and engineering, may thus offer a general framework to understand the regulatory design of cellular signalling systems.

Semantic communication technology, as it allows for source data meaning extraction and the transmission of appropriate semantic information only, has the potential to extend Shannon’s paradigm, which is concerned with the reproduction of a message from one location to another, regardless of its meaning. Nevertheless, some user terminals (UTs) may experience inadequate service due to their geolocation in reference to the base stations, which may entirely affect the accuracy of transmission and complicate deployment and implementation. A High-Altitude Platform Station (HAPS) serves as a key enabler for the deployment of wireless broadband in inaccessible areas, such as in coastal, desert, and mountainous areas. This paper proposes a novel HAPS relay-based semantic communication scheme, named DeepSTAS, which leverages deep learning techniques to enhance transmission accuracy. The proposed scheme focuses on attention-based semantic signal decoding, denoising, and forwarding modes; thus, called a CSA-DCGAN SDF HAPS relay network. The simulation results reveal that the proposed system with attention mechanisms significantly outperforms the system without attention mechanisms, both in peak signal-to-noise ratio (PSNR) and multi-scale structural similarity index (MS-SSIM); the proposed system can achieve a 2 dB gain when leveraging the attention mechanisms, and a PSNR of 38.5 dB can be obtained, with an MS-SSIM exceeding 0.999 at an approximate SNR of only 20 dB. The system provides considerable performance, more than 37 dB, and a corresponding MS-SSIM close to 0.999 at an estimated SNR of 20 dB when the CIFAR-100 dataset is considered and an MS-SSIM of 0.965 at an approximate SNR of only 10 dB on the Kodak dataset. The proposed system holds promise to maintain consistent performance even at low SNRs across various channel conditions.

We have seen previously that in a communication system we may be concerned either with the speed of transmission of information, or with the accuracy of transmission. In chapter 3 we considered speed of transmission in noiseless systems, and noted that the efficiency of coding was a measure of the redundancy of the system, perfect efficiency implying zero redundancy. In this chapter we will consider the accuracy of transmission in a noisy system. Clearly, redundancy will have to be added to give protection against errors. For example, in a system with two input symbols A and B, coding A = 000 and B = 111 gives a reduction in the overall error rate (compared with A = 0, B = 1) since single errors can be tolerated. Unfortunately the redundancy is greatly increased, and it appears at first sight that there is bound to be a simple exchange between error rate and redundancy. However, it will be shown that Information Theory predicts that the situation is not as bad as this, and that, subject to certain restrictions, a low error rate can be achieved together with a high data rate (or low redundancy).

The integration of color aesthetics and Pantone color in the Forbidden City is an important dialogue between traditional aesthetics and modern design systems in the field of culture and creativity. This study takes the color system in the architectural paintings and cultural relics decoration of the Forbidden City as the research object, systematically sorts out the similarities and differences between it and the Pantone color card in terms of color origin, cultural expression and application practice, and reveals the complementary mechanism between the traditional mineral pigment chromatography and the modern standardized color value system. This paper aims to explore the similarities and differences in color aesthetics and their impact on the design of cultural and creative products by comparative analysis of "Color Aesthetics in the Forbidden City" and the application of Pantone color in the design of cultural and creative products in museums. This study uses the literature analysis method to systematically sort out the theoretical basis of traditional color aesthetics and the specific application cases of Pantone color in cultural and creative design. The study found that the color aesthetics of the Forbidden City focus on cultural inheritance and historical accumulation, while the Pantone color emphasizes modernity and fashion trends. Both show unique charm in the design of cultural and creative products, but each has its own focus. The conclusion points out that combining the advantages of the two can better meet the needs of different consumers and promote the innovation and development of cultural and creative products.

Biological systems in general operate out of equilibrium, which brings the requirement for a constant supply of energy due to non-equilibrium entropy production. The thermodynamic uncertainty relation (TUR) essentially imposes a bound on the minimum current fluctuation the system can have given an entropy production rate. The fluctuation eventually impacts the signal-to-noise ratio, imposing an upper bound on the information transmission accuracy. In this study, we explore the role of the TUR on the information transmission capacity of a set of cellular signaling systems using coupled mathematical and machine learning approaches on experimental data in yeast under several stress conditions. Cell signaling systems are involved in sensing changes in the environment by activating a set of transcription factors (TFs), which typically diffuse inside the nucleus to trigger transcription of the required genes. However, the inherent stochasticity of the biochemical pathways severely limits the accuracy of estimating the environmental input by the TFs. The application of TUR reveals a general picture of the working principle of the TFs. We find that the activation followed by biased diffusion of TFs toward the nucleus triggers entropy production, which amplifies the magnitude of the overall TF currents toward the nucleus as well as reducing the fluctuations. These outcomes significantly improve the accuracy of information transmission carried out by the TFs following the bound imposed by TUR, leading to a correlation between accuracy and entropy production. However, TUR only imposes an upper bound on accuracy, and the correlation emerges due to the pathway being operated in the linear response regime. Thus, experimental observations coupled with TUR-based theoretical models demonstrate the role of thermodynamic fluctuation and entropy production on cellular information processing.

Information transmission and representation in both natural and artificial networks is dependent on connectivity between units. Biological neurons, in addition, modulate synaptic dynamics and post-synaptic membrane properties, but how these relate to information transmission in a population of neurons is still poorly understood. A recent study investigated local learning rules and showed how a spiking neural network can learn to represent continuous signals. Our study builds on their model to explore how basic membrane properties and synaptic delays affect information transfer. The system consisted of three input and output units and a hidden layer of 300 excitatory and 75 inhibitory leaky integrate-and-fire (LIF) or adaptive integrate-and-fire (AdEx) units. After optimizing the connectivity to accurately replicate the input patterns in the output units, we transformed the model to more biologically accurate units and included synaptic delay and concurrent action potential generation in distinct neurons. We examined three different parameter regimes which comprised either identical physiological values for both excitatory and inhibitory units (Comrade), more biologically accurate values (Bacon), or the Comrade regime whose output units were optimized for low reconstruction error (HiFi). We evaluated information transmission and classification accuracy of the network with four distinct metrics: coherence, Granger causality, transfer entropy, and reconstruction error. Biophysical parameters showed a major impact on information transfer metrics. The classification was surprisingly robust, surviving very low firing and information rates, whereas information transmission overall and particularly low reconstruction error were more dependent on higher firing rates in LIF units. In AdEx units, the firing rates were lower and less information was transferred, but interestingly the highest information transmission rates were no longer overlapping with the highest firing rates. Our findings can be reflected on the predictive coding theory of the cerebral cortex and may suggest information transfer qualities as a phenomenological quality of biological cells.

Bilingual artistic creation is one of the most pressing problems in modern literary criticism. Artistic bilingualism as a fact of literary creation is not a new phenomenon in world literature. This outstanding phenomenon has deep historical roots. Its origin can be traced back to antiquity. Forms of literary and artistic bilingualism arise from the individual characteristics of a bilingual writer and are the product of the socio-historical conditions. The development of the North Caucasus became such conditions for the emergence of bilingualism in Russia. Leo Tolstoy's appeal to foreign language vocabulary in the story "Hadji Murad" is a way of reconstructing national reality, customs, everyday life, family and social relations. The article also attempts to trace how the use of elements of local literature and ethnographic material helps to create images of highlanders. The conditions for the use of folk vocabulary and phraseology are important for understanding the essence of the characters of the heroes, and the elements of bilingualism are manifested not only in dialogues, but also in the narrative speech. The reasons for the emergence of artistic bilingualism in the works Tolstoy are determined, its features and specificity of use are revealed, and attention is paid to how the languages and their dialects the writer used contribute to an increase in the effect of accuracy in transmission of historical information. Moreover, such a synthesis of national and native Russian language allows the writer to truthfully outline the characters and reveal the images of the highlanders.

Systematic variation of potassium current amplitudes across the tonotopic axis of the rat medial nucleus of the trapezoid body

In order to improve the accuracy of information exchange transmission and reduce the transmission response delay, this paper proposes an industrial Internet of things communication information exchange transmission method based on audio information hiding. Firstly, information embedding algorithm is used to extract the communication audio carrier information. Secondly, audio information hiding algorithm is used to realize the hidden embedding of specific information; Then, the information transmission data integration is realized according to the similarity matrix. Finally, the Pareto distribution is used to realize the information transmission data matching, and the audio information hiding is used to realize the data exchange transmission control. The experimental results show that the transmission accuracy of this method is 98.3%, the transmission accuracy is as high as 96.0%, and the response delay is only 16 ms, indicating that this method can improve the transmission effect of industrial Internet of things communication information exchange.

In response to the unavailability of electromagnetic communication in environments with spectrum rejection and strong electromagnetic interference, this study proposes a visual behavioral semantic information communication system based on Morse coding and machine vision, utilizing visible light as the medium for information transmission. In this approach, Morse coding converts behavioral semantic information into controllable and transmissible light "on-off” features. At the receiving end, machine vision employs intelligent sensing and decoding algorithms to receive these light "on-off” features and convert them into understandable behavioral semantic information, thereby significantly enhancing the accuracy and efficiency of behavioral semantic information transmission under spectrum denial conditions.

English

The dynamic signal encoding paradigm suggests that information flows from the extracellular environment into specific signaling patterns (encoding) that are then read by downstream effectors to control cellular behavior. Previous work empirically quantified the information content of dynamic signaling patterns. However, whether this information can be faithfully transmitted to the gene expression level is unclear. Here we used NFkB signaling as a model to understand the accuracy of information transmission from signaling dynamics into gene expression. Using a detailed mathematical model, we simulated realistic NFkB signaling patterns with different degrees of variability. The NFkB patterns were used as an input to a simple gene expression model. Analysis of information transmission between ligand and NFkB and ligand and gene expression allows us to determine information loss in transmission between receptors to dynamic signaling patterns and between signaling dynamics to gene expression. Information loss could occur due to biochemical noise or due to a lack of specificity. We found that noise-free gene expression has very little information loss suggesting that gene expression can preserve specificity in NFkB patterns. As expected, the addition of noise to the gene expression model results in information loss. Interestingly, this effect can be mitigated by a specific choice of parameters that can substantially reduce information loss due to biochemical noise during gene expression. Overall our results show that the cellular capacity for information transmission from dynamic signaling patterns to gene expression can be high enough to preserve ligand specificity and thereby the accuracy of cellular response to environmental cues.