The Encoding / Decoding Model on Keats’s “Ode on a Grecian Urn” as a Thing

The system of mass communication in modern society has led to intensive development of media technologies, requiring advanced users of information culture and mastery of specific competencies. This is due to the necessity of daily searching, selection, storage, processing and analysis of data using a variety of methods and strategies to gain access to them in accordance with the format used and the source of information (oral, printed, visual, digital or multimedia). The article provides an overview of the main directions of development of media in an increasingly grows up the role of information in the sphere of functioning and development of the modern society. Analyzes and compares the foreign experience in the development of the system of formation of culture media, digital and computer literacy of the participants of the modern communication process. The examples of core competencies, which are defined as a set of knowledge and skills necessary for personal fulfillment, active citizenship and social formation of and placement in a society based on knowledge. Different approaches to the problem of development and improvement of digital competence, computer literacy, media literacy, computer skills, Internet skills, and others. The necessity of formation of media competence, the key concept in the educational environment, allowing to form the main vectors of the development of media literacy among pupils and students.

One of the modern trends in the development of information and communication technologies that have evolved into the Internet of Things (IoT) paradigm is the progressive idea of using blockchain technology in IoT. This trend is described in a large number of modern literature sources, which point out the significant advantages of using blockchain, primarily related to decentralization, immutability, transparency and security. This allows us to conclude that the implementation of blockchain technology in IoT information and communication systems is highly relevant. However, the authors of different studies describe significant problems, including the problem of scalability of the blockchain itself, as well as the problems of energy efficiency and limited resources in IoT devices. Due to these problems, the implementation of blockchain technology in the Internet of Things is becoming a challenge and determines the relevance and feasibility of researching this topic and finding effective solutions related to the integration of two very powerful technologies in modern information and communication systems. The article presents an analytical overview of the issues of integrating blockchain technology into IoT, in particular, the use of the Proof-of-Work (PoW) consensus algorithm in IoT and the use of alternative blockchain protocols, including IOTA, Ethereum Light Client and Litecoin, which allow increasing the efficiency of performing tasks in IoT infrastructure, taking into account the limited resources of devices; existing problems and implementation methods, such as the use of light clients and proxy servers. The article also considers the feasibility of using a full blockchain node on IoT devices and ways to increase system efficiency by pre-processing data before sending it to the blockchain network. The article also highlights the problem of insufficient implementation of blockchain technology in various spheres of human life, as well as the search for the reasons for this problem. The results of the analytical review make it possible to substantiate the purpose and advantages of integrating blockchain technology into the Internet of Things, as well as to summarize the main issues and substantiate a number of tasks for relevant and progressive scientific research in the field of modern information and communication systems.

The large-scale introduction of computers into professional and everyday human activities, the formation of a global mass communication system based on the Internet and the formation of a single network space formed the basis of a modern social communication system. But at the same time, despite the long period of their development, there was no unambiguous concept denoting the phenomenon of Internet-based media, which includes means of communication, as well as the social-network interaction environment formed by them. The authors analyze four concepts used to display the media phenomenon: (1) information and communication environment, (2) social network space, (3) media space and (4) public communication space. Analysis shows that each of these concepts focuses on a specific aspect of the communications of modern society. The information and communication environment is a semi-structured set of computers and information and telecommunication technologies that allow organizing actor interactions to coordinate their activities in the storage, transmission, processing of information. A social network space is rhizome from social media, which allows users to organize online communication and produce user-generated content. Media space is a complex configuration of social media related to the production and consumption of media, the unity of which, within the framework of the information picture of the world, holds a certain social space together. The public communications space is a set of social media aimed at mainstreaming socially significant problems and discussing in the social-network space.

Although a cis mechanism of GroEL-mediated protein folding, occurring inside a hydrophilic chamber encapsulated by the co-chaperonin GroES, has been well documented, recently the GroEL-GroES-mediated folding of aconitase, a large protein (82 kDa) that could not be encapsulated, was described. This process required GroES binding to the ring opposite the polypeptide (trans) to drive release and productive folding. Here, we have evaluated this mechanism further using trans-only complexes in which GroES is closely tethered to one of the two GroEL rings, blocking polypeptide binding by that ring. In vitro, trans-only folded aconitase with kinetics identical to GroEL-GroES. Surprisingly, trans-only also folded smaller GroEL-GroES-dependent substrates, Rubisco and malate dehydrogenase, but at rates slower than the cis reaction. Remarkably, in vivo, a plasmid encoding a trans-only complex rescued a GroEL-deficient strain, but the colony size was approximately one-tenth that produced by wild-type GroEL-GroES. We conclude that a trans mechanism, involving rounds of binding to an open ring and direct release into the bulk solution, can be generally productive although, where size permits, cis encapsulation supports more efficient folding.

Solving channel equalization problem in communication systems is based on adaptive ltering algorithms. Today,Mobile Agents (MAs) with Recurrent Neural Networks (RNNs) can be also adopted for e ective interferencereduction in modern wireless communication systems (WCSs). In this paper MAs with RNNs are proposed asnovel computing algorithms for reducing interferences in WCSs performing an adaptive channel equalization.The method to provide it is so called MAs-RNNs. We perform the implementation of this new paradigm forinterferences reduction. Simulations results and evaluations demonstrates the e ectiveness of this approach andas better transmission performance in wireless communication network can be achieved by using the MAs-RNNsbased adaptive ltering algorithm.Keywords: Wireless communication systems, Mobile Agents, Recurrent Neural Networks, interferences reduc-tion, channel equalization 1. INTRODUCTION New challenges in modern communication is to conceive highly reliable and fast communication system deprivedfrom problems caused by multipath fading in wireless channels. A very important problem in data commu-nications is channel equalization. i.e., the removal of interferences introduced by linear or nonlinear messagecorrupting mechanisms. Thus the originally transmitted symbols can be recovered correctly at the receiver.New techniques to provide the optimal detection under bad channel estimation and solving the channel equal-ization must be developed and evaluated. To achieve fast and reliable wireless digital communication, as forinter-symbol interference (ISI), studies must concern adaptive equalization to minimize the communication errors

This paper presents a novel approach to synthesizing phased antenna arrays (PAAs) by combining Taylor-series expansion with neural networks (NNs), enhancing the PAA synthesis process for modern communication and radar systems. Synthesizing PAAs is crucial for these systems, offering versatile beamforming capabilities. Traditional methods often rely on complex analytical formulations or numerical optimizations, leading to suboptimal solutions or high computational costs. The proposed method uses Taylor-series expansion to derive analytical expressions for PAA radiation patterns and beamforming characteristics, simplifying the optimization process. Additionally, neural networks are employed to model the intricate relationships between PAA parameters and desired performance metrics, providing adaptive learning and real-time adjustments. A validation of the proposed method is performed on a dual-band 5G antenna, which exhibits marked resonances at 28.14 GHz and 37.88 GHz, with reflection coefficients of S11 = −19 dB and S11 = −19.33 dB, respectively. The integration of Taylor expansion with NNs offers improved efficiency, reduced computational complexity, and the ability to explore a broader design space. Simulation results and case studies demonstrate the effectiveness and applicability of the approach in practical scenarios. This work represents a significant advancement in PAA synthesis, showcasing the synergistic integration of mathematical modeling and artificial intelligence for optimized antenna design in modern communication and radar systems.

Stimulated Brillouin scattering (SBS) is one of the most important nonlinear phenomena because it limits the maximum transmission power in modern optical communication systems. Unfortunately, the simulation of SBS is time-consuming, since it requires estimating the solutions for a set of complex differential equations that describe this phenomenon. In this paper, a novel high-performance computing model intended to analyze the main dispersive effects present in modern fiber communication systems is proposed. A full optical characterization of the simulation results is included and compared with the efficiency and improved speed of our parallel implementation versus a previous sequential model for SBS. Also, an evaluation of the throughput of our parallel implementation using both central processing unit multi-core and graphics processing unit is presented. Results show that parallelism increases the performance of the simulation tenfold.

The accurate simulation of multipath fading channels is a crucial issue in the development and evaluation of modern wireless communication networks. Since the received signal depends on many fast-changing factors, statistical models are typically used to simulate fading. Many fading models have been developed over the last four decades, making use of several statistical distributions (Rice, Rayleigh, Nakagami-m, etc.) and with different degrees of complexity. In this chapter, we describe some of the most important statistical models developed for the simulation of wireless fading channels, paying special attention to the accuracy–complexity trade-off and discussing the application domain where each of them is more appropriate. Indeed, the main purpose of this chapter is providing clear algorithms for the efficient simulation of each of the channels described (which are often hard to find in the literature), rather than focusing only on the theoretical aspects (which are also covered). In order to achieve this purpose, several case studies are introduced throughout the chapter, showing how to simulate real-world channels (at different degrees of detail and complexity) for practical applications. The chapter is structured as follows. Firstly, we provide an introduction to mobile wireless communication networks, motivating the use of statistical tools to simulate multipath fading channels in Section 10.1. In Section 10.2, we describe the general framework of the statistical models used for the simulation of wireless fading channels, emphasizing the different types of channels that can be encountered and the key elements that have to be modelled. A brief description of a digital communications transmitter and receiver is also provided in this section. Then, Section 10.3 focuses on largescale fading, which is typically simulated using a fixed average loss plus a log-normal distribution to describe local variations. Section 10.4, which is the main section of the chapter, concentrates on the simulation of small-scale fading for the two most common situations found in modern communication systems: slow flat fading and slow frequency-selective fading. Finally, Section 10.5 closes the chapter. 10.

In recent years, intelligent manufacturing has developed rapidly. Industrial IoT technologies are applied to different industrial scenarios. OPC UA is a service-oriented architecture, which has good interoperability. At the same time, it is a cross-platform communication standard that can realize the interconnection between heterogeneous network devices and solve the problem of information silos in the industrial IoT field. However, with the gradual increase of industrial equipment, the amount of data transmission in the network is increasing. The traditional OPC UA communication method based on client/server mode has defects such as tight coupling and performance bottleneck. It cannot meet the high throughput demand of the network. Therefore, these phenomena lead to longer time delays and lower transmission efficiency of network communication systems. To solve the above problems, this paper proposes a publish/subscribe communication model based on OPC UA. We design the overall architecture of the OPC UA publish/subscribe model and adopt a message agent mechanism to realize distributed communication of OPC UA. This model has functions such as message modeling, address space construction, and publish/subscribe. The architecture of this communication model is compatible with the C/S model, which can ensure compatibility and coexistence with the traditional OPC UA communication system. Meanwhile, in order to improve the distinguished service capability of the OPC UA system, a multi-priority data scheduling algorithm is proposed and integrated into the publish/subscribe communication model to improve the efficiency of real-time data transmission in industrial networks. The experimental results show that the communication model can accomplish distributed communication in industrial networks and be better applied in wireless sensor networks. The scheduling algorithm included in the model significantly improves the efficiency of real-time data transmission and reduces the time delay.

The evolutionarily conserved POT1 protein binds single-stranded G-rich telomeric DNA and has been implicated in contributing to telomeric DNA maintenance and the suppression of DNA damage checkpoint signaling. Here, we explore human POT1 function through genetics and proteomics, discovering that a complete absence of POT1 leads to severe telomere maintenance defects that had not been anticipated from previous depletion studies in human cells. Conditional deletion of POT1 in HEK293E cells gives rise to rapid telomere elongation and length heterogeneity, branched telomeric DNA structures, telomeric R-loops, and telomere fragility. We determine the telomeric proteome upon POT1-loss, implementing an improved telomeric chromatin isolation protocol. We identify a large set of proteins involved in nucleic acid metabolism that engage with telomeres upon POT1-loss. Inactivation of the homology-directed repair machinery suppresses POT1-loss-mediated telomeric DNA defects. Our results unravel as major function of human POT1 the suppression of telomere instability induced by homology-directed repair.

While most evolutionary scenarios for language see it as a communication system with consequences on the language-ready brain, there are major difficulties for such a view. First, language has a core combination of features—semanticity, discrete infinity, and decoupling—that makes it unique among communication systems and that raise deep problems for the view that it evolved for communication. Second, extant models of communication systems—the code model of communication (Millikan, 2005) and the ostensive model of communication (Scott-Phillips, 2015) cannot account for language evolution. I propose an alternative view, according to which language first evolved as a cognitive tool, following Fodor’s (1975, 2008) Language of Thought Hypothesis, and was then exapted (externalized) for communication. On this view, a language-ready brain is a brain profoundly reorganized in terms of connectivity, allowing the human conceptual system to emerge, triggering the emergence of syntax. Language as used in communication inherited its core combination of features from the Language of Thought.

Relevance. The use of multi-antenna technologies in the form of signal precoding is a basic condition for increasing spectral efficiency in modern mobile communication systems in combination with the transition to the millimeter wave frequency band. Propagation conditions in the millimeter wave require the use of antenna arrays in communication systems to compensate for propagation losses and directional transmission and reception of user signals. When transmitting multiple parallel spatial user data streams, signal precoding is used to implement spatial multiplexing and improve the spectral efficiency of the system. A hybrid architecture for constructing a multi-antenna system and precoding, consisting of analog and digital parts, is considered. But reducing the number of radio frequency paths leads to a decrease in the possibility of spatial multiplexing compared to a completely digital system. In this regard, it is important to select the optimal number of radio frequency paths to obtain maximum spatial multiplexing, taking into account the current conditions of signal propagation and spatial correlation of the communication channel. The purpose of the study is to determine the effect on the spectral efficiency of the choice of the number of used radio frequency paths in a hybrid precoding system.The research methods consist of simulation modeling of a hybrid precoding algorithm. To solve the problem of numerical modeling of hybrid precoding, implementations of a MIMO channel of millimeter waves are used, obtained using the open channel model software package QuaDRiGa.The results are presented in the form of distribution functions of the spectral efficiency of the hybrid precoding system, obtained on the basis of channel implementations in a certain propagation scenario.The novelty lies in the numerical determination of the channel parameters of a multi-antenna communication system in the millimeter range and the use of the distribution of eigenvalues of the obtained channel implementations to study the influence of the number of radio frequency paths on the spectral efficiency of a communication system with hybrid precoding achievable under given conditions.

Relevance. In long-haul decameter-band (LDB) communication systems, the number of bit errors is simultaneously influenced by two key factors: the signal-to-noise ratio and the degree of phase distortions caused by the Doppler shift, which arises from the random movement of ionospheric inhomogeneities. The challenge of improving the interference resistance of such systems is complicated by the fact that even with a high signal level at the demodulator's input, reception can be hindered by phase distortions, leading to a sharp increase in the number of bit errors and a degradation of the BER (bit error rate) coefficient. Despite the sufficient number of classical works, the problem of enhancing the interference resistance of modern domestic LDB radio communication systems under specified operating scenarios using contemporary methods and digital signal processing tools remains relevant and in demandich lead to a sharp increase in the number of bit errors and a deterioration in the BER coefficient. Despite a sufficient number of classical works, the problem of improving the noise immunity of modern domestic LDB or short-wave (HF) radio communication systems in specified operating scenarios using modern methods and means of digital signal processing (DSP) remains relevant and in demand. The object of the research is modern domestic decameter-band radio communication systems, which often exhibit known shortcomings, including low adaptability to changes in the ionosphere and issues with signal interference. For example, the R-016 system has limitations in its frequency range, making it less effective under varying ionospheric conditions that affect signal levels. Prototypes may also have problems with signal processing, which leads to bit errors of up to 10-3 even in the absence of noticeable interference. The subject of the study is the models and methods of functioning of LDB decameter-band communication lines.The objective of the research is to evaluate the impact of various factors, such as changes in preamble length and the use of adaptive filters, on the interference resistance of the system. The analysis of the obtained results shows that increasing the preamble length in such systems contributes to enhancing the interference resistance of long-haul communication. The scientific novelty lies in the improvement of existing radio propagation models in the decameter range by applying a complex of parameters that includes the signal-to-noise ratio set for a specific communication session in the radio line, and to increase the accuracy of field strength calculations at the receiving point, recalculated values of critical frequencies based on electron concentration forecasts, as well as Doppler shift for each layer of the ionosphere. The practical significance of the results lies in the enhancement of the interference resistance of existing decameter-band communication systems in ionospheric propagation conditions.

Background. Antenna arrays based on dual-polarization elements are used as radiating devices for modern and perspective radio communication systems. The main factor reducing the effectiveness of this approach is the presence of spatial correlation and cross-polarization between elements in the array. These effects can lead to a significant reduction in communication system capacity. Aim. Derive relationships based on the Kronecker model that allow to take into account the polarization properties of antenna elements when calculating the ergodic capacity of a multi-channel communication system. Investigate the influence of the cross-polarization parameter of the antenna element on the capacity. Assess the polarization characteristics of synthesized real antenna elements of various types and their impact on the capacity value. Methods. When deriving the basic relationships, methods of statistical radiophysics and electromagnetic analysis of the propagation channel were used. When synthesizing dual-polarization antenna elements, electrodynamic analysis methods based on Maxwell’s equations were used. Results. Based on the analysis using the derived relationships, it was established that the influence of the cross-polarization properties of the array antenna elements on the capacity of a multi-channel communication system becomes significant when the value of the cross-polarization parameters decreases below 10 dB. It is shown that synthesized real antenna elements of various types have high polarization isolation, which will lead to a slight decrease in the system capacity. Conclusion. The derived relationships and the developed methodology make it possible to estimate the change in the capacity of the communication system when taking into account the cross-polarization properties of the dual-polarization elements of the antenna array. This will allow to optimally select radiating elements for a given system. At the same time, the developed antenna elements of various types satisfy the imposed cross-polarization restrictions.

Introduction While wireless communications standards may come and go with developments in the latest digital coding technology, or the liberation of new fragments of the electromagnetic spectrum, the common denominator among the various communications systems is the power amplifier. Over the last few decades, the transition from vacuum tubes and other forms of amplification to solid state devices has been almost complete, especially at power levels less than 1 kW. Nowadays, at the heart of the power amplifier, we find the power transistor. In the world of RF wireless communications, the base-stations and long range transmitters use silicon LDMOS (laterally-diffused MOS) high power transistors almost exclusively. In addition to modern cellular communication systems, LDMOS devices are also used in a wide range of applications requiring radio-frequency power amplification: HF, VHF, and UHF communications systems; pulsed radar; industrial, scientific and medical (ISM) applications; avionics; and most recently in WiMAX™ communication systems. The frequency range of these applications is from a few megahertz and up to 4 GHz. While LDMOS technology is pre-eminent in high-power RF and lower frequency microwave applications, a wide variety of compound (III–V) semiconductors are used as effective power amplification devices, especially for application frequencies above about 5 GHz, and also for lower power applications such as cellular handsets, Bluetooth™ and other wireless local area networks (WLANs), which generally demand output powers of about 1 watt or below.