Information Transfer Process Research Articles

Intelligent prediction for remaining life of aero-engine --A Study on CNN-BiLSTM Model Based on Scores Loss Function

With the advent of the era of big data and artificial intelligence, predicting and managing the remaining service life of aero-engines has become a key challenge, which has a direct impact on the enhancement of autonomous control capabilities. In this paper, a new deep learning model combining a one-dimensional convolutional neural network (1D-CNN) and a bidirectional long and short-term memory network (BiLSTM) is proposed to efficiently handle dynamic and uncertain engine health state data. The concurrent model takes full advantage of 1D-CNN in extracting local features and BiLSTM in capturing time-dependence, avoiding the loss in the information transfer process in conventional models. Empirical studies on NASA's C-MAPSS dataset show that the model significantly improves the accuracy and robustness in predicting the remaining service life, reducing the RMSE by up to 5.05% and the Scores by up to 54.89% compared to the conventional model. Especially in the short-term prediction task, the model shows higher stability and accuracy, which provides strong support for advance warning in the field of aviation safety.

Personal Information of Medical Learners in Canada: A Review of Policies and Expectations

ABSTRACTThis paper explores whether the Canadian medical universities' policies on personal information to protect and provide access meet the expectations of their learners. An overview of the current legislation is presented in the order of federal, provincial/territorial, and university level. This is followed by a process of reviewing a paper published by the Canadian Federation of Medical Students and conducting thematic analysis on pertinent court judgements to understand Canadian medical learners' expectations of personal information handling practices. Through this process, we develop a list of nominal variables that represents learner expectations. For analysis, we conduct descriptive research to review medical universities' policies and utilize a matrix to cross‐check the policies against the list of variables. The resulting matrix presents a visualization that highlights areas where the policies and medical learners' expectations converge and diverge. Our findings indicate that most universities acknowledge the importance of responsibly handling personal information but did not touch on certain variables, such as oversight of third‐party data stewards and information transfer processes within the medical education community. Insights from our findings may contribute to the development of policies and participation from professional regulatory authorities.

Разработка программного обеспечения для цифровых интерфейсов электромеханического датчика положения

For an electromechanical position sensor to be used in modern motion control systems, it must have technical means to transmit measurement results. It is also necessary to connect the sensor with equipment to configure and test it. In addition, the exchange of information between its elements that calculate, and generate and process signals may be required. To perform the listed functions of information interaction digital interfaces are designed. The choice of interface types depends on their purpose, and the algorithms of their use are implemented using software. The development of such digital interfaces for the controller of a sine-cosine rotary transformer in amplitude mode is an urgent task of modern motion control systems. When developing software for digital interfaces, methods of algorithmization of control and information transfer processes, methods of software development and debugging, as well as experimental research methods have been used. Information interaction between the controller of the electromechanical position sensor and the high-level controller as part of the motion control system and ensuring its operability is carried out using various digital interfaces. The I2C interface is used to communicate the sensor with the high-level controller, and the UART interface is used to communicate with the equipment for configuring and testing. The connection between the generator and signal processor chip and the microcontroller included in the sensor is carried out via the I2C interface. The authors have developed a microcontroller driver for connecting to the I2C network bus in Slave mode, as well as a software handler for the UART interface, which detects received messages of a given format and ensure safe operation in case of receiving corrupted messages. To store the configuration parameters of the sensor, one can access to flash memory of microcontroller. As a result of the use of digital interfaces and algorithms of their implementation that carry out information interaction, the developed controller of electromechanical position sensor becomes a full-fledged element of motion control systems. The use of modern design tools and specialized function libraries based on high-level C language, helps to develop software that implements these algorithms for various interfaces.

Combined transcriptomic and metabolomic analysis revealed that pH changes affected the expression of carbohydrate and ribosome biogenesis-related genes in Aspergillus niger SICU-33.

The process of carbohydrate metabolism and genetic information transfer is an important part of the study on the effects of the external environment on microbial growth and development. As one of the most significant environmental parameters, pH has an important effect on mycelial growth. In this study, the effects of environmental pH on the growth and nutrient composition of Aspergillus niger (A. niger) filaments were determined. The pH values of the medium were 5, 7, and 9, respectively, and the molecular mechanism was further investigated by transcriptomics and metabolomics methods. The results showed that pH 5 and 9 significantly inhibited filament growth and polysaccharide accumulation of A. niger. Further, the mycelium biomass of A. niger and the crude polysaccharide content was higher when the medium's pH was 7. The DEGs related to ribosome biogenesis were the most abundant, and the downregulated expression of genes encoding XRN1, RRM, and RIO1 affected protein translation, modification, and carbohydrate metabolism in fungi. The dynamic changes of pargyline and choline were in response to the oxidative metabolism of A. niger SICU-33. The ribophorin_I enzymes and DL-lactate may be important substances related to pH changes during carbohydrate metabolism of A.niger SICU-33. The results of this study provide useful transcriptomic and metabolomic information for further analyzing the bioinformatic characteristics of A. niger and improving the application in ecological agricultural fermentation.

Equilibrium and Stability of the Solar System Rely on a Human-Like Program of Substance and Information Transfer

This study bridges the realms of astronomy and life science, illuminating the intricate interplay between celestial phenomena and terrestrial biology. While humans may perceive the palpable effects of seasons, climate, geographical location, and the movements of the Sun and moon, other phenomena such as changes in Earth's magnetic field and seismic activity are often sensed by animals but elude human perception. However, with disciplined and sustained training, humans possess the potential to harness the rich array of sensors and sensory systems within the body, thereby unlocking the ability to discern and validate the cosmic influences documented by ancient civilizations. In instances where traditional astronomical inquiries, such as the maintenance of galactic equilibrium, present enigmatic puzzles, insights from cutting-edge life science research may offer promising leads. Newly unveiled mechanisms such as the "Function Enhancement Program of Five-Organs through Umbilical Access" and the rhythmic orchestration of the "Rotating Presidency of Twelve-Organs" elucidate the intricate operations of visceral organs within the human body. Indirect evidence suggests a correlation between these biological processes and the transfer of gaseous substances among celestial bodies, including Mercury, Venus, the Sun, and Jupiter, hinting at a temporal synchronicity that may contribute to the equilibrium and stability of the solar system. Confirmation of substance and information transfer processes could unlock new avenues of inquiry in astronomy, shedding light on vexing conundrums such as dark energy and matter, binary pulsars, gravitational waves, inflation fields, and alternative theories to Einstein's General Relativity. Thus, by bridging the disciplines of astronomy and life science, this study offers fresh perspectives and potential breakthroughs in our understanding of the cosmos.

HIERARCHY OF MODERN THEORIES, METHODS AND APPROACHES TO TEACHING FOREIGN LANGUAGES

In today’s competence-based paradigm of language education, the priority direction is the development and formation of students’ not only productive foreign language speech skills and language skills that contribute to the creation of written and oral texts of various genres, but also the skills of interaction and mediation in the global digital space. It is possible to develop the above-mentioned skills using effective approaches, methods, technologies. Modern methodological literature presents an extremely wide variety of methodological models, pedagogical theories, specific technologies and approaches to teaching foreign languages. This article is devoted to the development of a general theoretical basis for the hierarchy of existing methods, approaches, methods of teaching foreign languages within the framework of a competent-based, communicatively oriented paradigm of modern education. The proposed hierarchy includes 4 levels, where the theoretical foundation of education is based on a certain psychological and pedagogical theory; the essence of learning activity corresponds to the general theoretical method, the principles of learning - to private methods, the learning process - to a system of tasks. Each level is responsible for a certain range of “didactic potential”. The essence of the lower level is the ways of implementing knowledge, and the upper one is the management of information transfer processes in the activity-based model of learning. This system is very important, because the hierarchically organized structure of methods allows instructors to understand how particular methods contribute to the achievement of the goals of teaching foreign languages. The article analyzes the psychological and pedagogical theories valid for the modern system of education - cognitivism, constructivism and connectivism. The typological characteristics are given for the classification of teaching methods, the main types of problem-oriented tasks are identified for the development of students’ foreign language skills.

Toy gravizap for black hole redemption

In this note we discuss a topological realization of the quantum teleportation protocol. Such a realization facilitates keeping track of the evolution of quantum correlations in the system. It is then suggested, that an implementation of a similar protocol can serve as a toy model of a process of information transfer between causally disconnected regions, such as the one that should take place in a unitary evolution of a quantum black hole. Hawking quanta provide the necessary entangled pairs for the teleportation channel, and the same interaction mechanism that creates the Hawking pairs, destroys the entanglement at the late stages of the evolution. Different steps of the teleportation protocol are characterized by the entropies associated with the disconnected regions, and one can introduce an analog of the Page curve for the entropy of the Hawking radiation. Some regions of the “black hole” interior appear to actually encode the information of the exterior, so it is natural to identify them with the “islands” of the semiclassical gravity analysis.

Cooperative communication and relay node selection algorithm based on SWIPT

The development of nanotechnology and the emergence of new materials such as graphene make wireless nanosensor networks (WNSN) based on electromagnetic communication possible. Due to the energy, computing power and transmission distance carried by nano-nodes are extremely limited, nanonetworks are usually ultra-dense, so nanonetworks are usually cluster-managed. Aiming at the problem of data transmission failure caused by poor link quality or insufficient energy in inter-cluster transmission, a relay node selection algorithm (RNS-AHP) based on simultaneous wireless information and power transfer (SWIPT) and analytics hierarchy process (AHP) is proposed. The algorithm is based on the SWIPT cooperative communication model, and uses the AHP to calculate the weights of four factors: the distance of the relay node, the channel capacity, the remaining energy of the relay node and the signal-to-noise ratio of the relay node receiver in the process of relay node selection. According to the weight, the weight of the candidate relay node is obtained as the selection criterion of the relay node. The simulation results show that the RNS-AHP algorithm can improve the average throughput, the success rate of data packet transmission and the energy efficiency.

Model of multidisciplinary teamwork in hip fracture care: a qualitative interview study

ObjectivesHip fractures are common injuries in older age with high mortality requiring multidisciplinary clinical care. Despite guidance, there is considerable variation in hip fracture services and patient outcomes; furthermore, little...

Stereocontrolled Self-Assembly of a Helicate-Bridged CuI12L4 Cage That Emits Circularly Polarized Light.

Control over the stereochemistry of metal-organic cages can give rise to useful functions that are entwined with chirality, such as stereoselective guest binding and chiroptical applications. Here, we report a chiral CuI12L4 pseudo-octahedral cage that self-assembled from condensation of triaminotriptycene, aminoquinaldine, and diformylpyridine subcomponents around CuI templates. The corners of this cage consist of six head-to-tail dicopper(I) helicates whose helical chirality can be controlled by the addition of enantiopure 1,1'-bi-2-naphthol (BINOL) during the assembly process. Chiroptical and nuclear magnetic resonance (NMR) studies elucidated the process and mechanism of stereochemical information transfer from BINOL to the cage during the assembly process. Initially formed CuI(BINOL)2 thus underwent stereoselective ligand exchange during the formation of the chiral helicate corners of the cage, which determined the overall cage stereochemistry. The resulting dicopper(I) helicate corners of the cage were also shown to generate circularly polarized luminescence.

EDUKASI PENGELOLAAN KEUANGAN GUNA MENGURANGI PERILAKU KONSUMTIF PADA ANAK USIA DINI DI DESA WAIMITAL KECAMATAN KAIRATU SERAM BAGIAN BARAT

This activity aims to introduce financial management in order to reduce consumer behavior in young children in Waimital Village, Kairatu District, West Seram Regency so that the socialization participants who are young children have references regarding financial management and how to save so they can plan your finances and be able to save early. The activity was carried out using a lecture and question and answer method, taking place offline on 06 and 07 November 2023 at 16.00 – 17.00 WIT, at the Raudhatul Jamil Al-Quran Education Park (TPQ), Waimital Village, Kairatu District, West Seram Regency. Participants are young children. The resource person is Putri Syarifudin. The results of the activity showed that the information transfer process could take place well and there was a response back in the form of questions from the students which reflected their curiosity about the material presented. Through the explanations given, the socialization participants appeared to have sufficient information about how to manage finances well in order to reduce consumptive behavior. The socialization participants finally have references regarding financial processing, so they can plan and even start saving early. Activities like this need to be developed and implemented for children in other elementary schools, especially in rural areas, so that they can motivate young children to get used to saving from an early age.

THE IMPORTANCE OF PUBLIC RELATIONS IN THE SYSTEM OF THE CREATIVE ECONOMY

The article reveals the essence and content of public relations in the current conditions of society development. Through the prism of the concept of the creative economy, which has been formed in the scientific discourse, the author presents the opinion of the relevance of public relations to its effective functioning. The author analyzes the opinions of researchers in the field of social communications and related areas relevant to this study. In addition, the modern conceptual and categorical apparatus of public relations in the creative economy system is taken into account and described. Public relations, as a function of effective social communications, is an important component of the work and improvement of the creative economy within the country and around the world. It means the active functioning of this process, which includes a number of important factors, among which the key one is the direct connection between communicators and the audience. If these components communicate in a coordinated manner, the process of information transfer should take place, which ultimately leads to new solutions and the satisfaction of public expectations. Recently, the issue of the effectiveness of the creative economy in modern conditions has been raised quite often in the media space, which requires more thorough scientific research into its connection with the field of social communications. Public relations becomes especially important when communicators need to implement a high-quality explanation of their actions and steps, as many challenges arise in the context of social and economic instability. In particular, we are talking about artificial intelligence tools that can somehow complement the work of organizations or neutralize it by violating both legal and ethical norms. The paper implements the theoretical approach to scientific research, which scholars carried out by personally analyzing existing works.

SOSYAL MEDYA, DİN /EĞİTİM İLİŞKİSİNİN PRATİĞE YANSIMASI

One of the most important issues between religion and social media is the view that social media causes religion to move away from traditions. One of the most important problems of social media in an individual's social life is the desire to be liked on these platforms under the influence of the consumer society. The view that the desire to be liked on these platforms will cause social reality to disappear and people's lives to turn into a universe of simulations is becoming widespread. In other words, the appearance that wants to be perceived as a reality is to present or try to show (simulate) something that is not real as if it were real, and to use a tool, a machine, a system, a model or a computer for the purpose of examining, showing or explaining the specific functioning of a phenomenon. The fact that it appears as the main reason why the problem of artificial reproduction (simulation) through the program appears as a form of expression. On the other hand, perception, attitude and suggestion, which are the information transfer processes of social media, have an important place in terms of education in general and religious education in particular. This educational process primarily relates to the individual's perception of the information he encounters on social media. Then, with the assimilation of this, the attitude formed in the individual and the subsequent indoctrination to other individuals, the religious education process obtained from social media is completed. Especially in the fields of religious knowledge and religious education, posts are made and spread on social media platforms without citing sufficient sources and research. In reality, what are individuals' opinions about religious posts on social media platforms? What do religious posts on these platforms mean to individuals? To what extent do individuals trust religious information received from this source? The study was put forward to find answers to such questions.

Simulation Modeling of Information Transfer Between Stock Exchanges Based on a Multi-Agent Model

The article substantiates the relevance of solving the problem of stock exchange modeling as an information system accumulating the orders of market participants and executing them. The object of the study is the process of information transfer between stock exchanges. The subject of the study is the use of simulation multi-agent model to study the process of information transfer between stock exchanges. The paper analyzes the possibilities of building a simulation model to analyze rare phenomena in the financial market using a multiagent approach. It is substantiated that this approach allows taking into account those features of complex dynamic systems, for which either no effective analytical approaches have been developed or it is impossible to conduct the necessary numerical experiments. The proposed logic of the market simulator is based on the allocation of certain trader classes, that may differ in the logic of making their decisions on the stock exchange, for this purpose the scheme of agent interaction in the model of the stock exchange is described. On the example of modeling the information transmission and market shocks between markets the possibilities of the proposed simulator are studied. The use of the proposed model in practice allows us to analyze rare phenomena occurring on the stock exchange, which cannot be described analytically, but their recreation by means of the simulation model will allow us to study them. The study of rare phenomena on the stock exchange with the help of simulation modeling allows to obtain different variants of the results of the phenomena at different sets of parameters of the model (agents), i.e. to carry out parameter.

Model of cognitive activity of the human brain based on the mathematical apparatus of quantum mechanics

Describing the transmission and processing of information by an individual is a fundamental issue in modern cognitive science. Previously, unique scientific models for information transfer between individuals [1], as well as models for cognitive activity [2], were developed. However, numerous presented models lack scalability and formalization, hindering their ability to provide a comprehensive explanation for information transfer processes and their distortion due to interaction with the external communicative environment. One aspect of human cognitive activity is that individuals think not based on a code, as a computer does, but through the interaction of various mental images. Despite the fact that these images have a specific material foundation in the form of electrical and chemical activity in the human brain, describing them using conventional mathematical models presents several difficulties [3]. Therefore, this paper suggests novel techniques for describing information images/representations’ functioning, which simulate an individual’s cognitive activity. These methods rely on the mathematical models of self-oscillatory and conventional quantum physics (including potential wells and virtual particles conventionally used in the physical domain) for characterizing basic interactions [4]. The authors adopt a phenomenological perspective and do not regard cognitive systems as quantum. The aim of this study ject is to establish a model for cognitive function in the human brain using the mathematical principles of self-oscillating quantum mechanics from the perspective of information imaging and representation. Methods. The theory proposes [5] that information images/representations (IR) share characteristic properties with virtual Feymann particles and other elementary particles. The human mind is presented as a one-dimensional potential well with finite walls of varying sizes and an internal potential barrier that simulates the boundary between consciousness and subconsciousness. The authors have applied parametrization based on this theory. As a result, we propose the foundations of the mathematical apparatus based on classical quantum mechanics, followed by the mathematical apparatus of self-oscillating quantum mechanics. The latter, though little known, may allow to predict certain cognitive functions of the human brain by modifying and applying it to non-quantum settings. An equation is derived for the state function of the information image of an individual engaging in cognitive activity. Primary calculations were conducted on the state functions of information images using a computer model. The movement patterns of the information image within and outside were then deduced.

Subthalamic nucleus neuronal activity entropy in the effective stimulation area in patients with Parkinson’s disease

One of the most successful and promising treatments for Parkinson’s disease today is deep brain stimulation (DBS). Accurate localization of the stimulation area is critical for the outcome of surgical DBS electrode implantation in the subthalamic nucleus (STN). To achieve this, microelectrode recording is used during surgery to precisely locate the STN borders [1], while test stimulations with a macroelectrode are widely employed to enhance DBS electrode placement accuracy. Thus, through testing multiple trajectories, the most clinically effective one can be selected. However, a comprehensive and reliable description of the specific single neuron activity associated with successful DBS electrode implantation is currently lacking. A study was conducted using microelectrode recordings (MER) of single neuron activity in the STN of 21 Parkinson’s disease patients (UPDRS III off/on=46.9/12.8) to identify the neuronal activity features associated with the most favorable clinical outcome of test stimulation. A comparative analysis of 29 activity parameters, such as firing rate, oscillatory activity intensity in different frequency ranges (Oscores), coefficient of variation, burst, pause index, among others [2], was conducted for 618 identified neurons. In addition, the approach of computing the entropy of the change in interspike intervals (ISI) of the pulse sequence [3] and the process of identifying patterns of neural activity using hierarchical clustering [4] were implemented. A comparative analysis of single neuron activity indicated notable (p 0.05) variations between disregarded and selected paths for the ultimate implantation of DBS electrode, solely relying on entropy parameters. Trajectories that delivered optimal test stimulation outcomes demonstrated reduced entropy of interspike intervals. Only the patterns of neuronal activity characterized by extended periods of steady firing and brief pauses, referred to as tonic and pause activity, respectively, were found to contribute to the difference in entropy between trajectories. In contrast, there were no statistically significant differences detected in entropy values associated with neurons demonstrating burst activity. Furthermore, we observed a positive and significant correlation between entropy values and the degree of improvement in disease presentation before and after administration of medication. A comparative analysis was conducted on the activity of single neurons along different trajectories with varied test stimulation responses. The results showed a weak effectiveness of linear parameters in determining the optimal electrode insertion path for improved clinical outcomes. However, the use of non-linear activity parameters, specifically entropy, in single neurons effectively differentiated trajectories with significant versus absent/insignificant test stimulation results. Furthermore, the significance of entropy in establishing the basal ganglia functions and describing information transfer processes in movement control is emphasized by interpreting this parameter as a measure of uncertainty or unpredictability of the information system in relation to the findings of other studies [5].

Artificial Intelligence Technology Boosts the Construction of English Intelligent Teaching Mode in Colleges and Universities

Abstract With the goal of improving the teaching effect of English in colleges and universities, this paper combines artificial intelligence technology with teaching and constructs an English-intelligent tutoring teaching model. By analyzing the main forms of artificial intelligence in the field of teaching, the advantages of intelligent teaching mode in college English teaching are explored from personalized teaching as well as teaching effect. Combining the RBF neural network to analyze the students’ learning data, the function approximation principle and interpolation method are used to improve the accuracy of the analysis of the students’ data. Using the form of network topology, the information transfer process in English intelligent teaching is explored. To improve the classification of students’ abilities and the prediction of their grades, judgment trees are added to the network. The English Intelligent Assisted Teaching model was applied to teaching to explore its feasibility and effectiveness. The results show that students’ satisfaction with personalized teaching is 0.85, and their satisfaction with personalized evaluation is 0.8. The students’ translation ability under the English Intelligent Assisted Teaching Model has improved more, from 75 to 90.

How visualisations with typography are used in Persian and English corporate identity logos

Abstract Typography simplifies and facilitates the information transfer process, and establishes a quick and straightforward connection between text and audience. Combining writing with images provides the basis for creating symbolic relationships in typography. This study intends to define the paradigmatic relationships between visual signs and writing in integrated Persian typographies and English logotypes. In this study Persian and English logotype samples are compared. It is observed that in the Persian sample, logotype letters are often affected by the visual elements; however, only one letter is usually replaced with an image in the English samples.

Extended-range percolation in complex networks.

Classical percolation theory underlies many processes of information transfer along the links of a network. In these standard situations, the requirement for two nodes to be able to communicate is the presence of at least one uninterrupted path of nodes between them. In a variety of more recent data transmission protocols, such as the communication of noisy data via error-correcting repeaters, both in classical and quantum networks, the requirement of an uninterrupted path is too strict: two nodes may be able to communicate even if all paths between them have interruptions or gaps consisting of nodes that may corrupt the message. In such a case a different approach is needed. We develop the theoretical framework for extended-range percolation in networks, describing the fundamental connectivity properties relevant to such models of information transfer. We obtain exact results, for any range R, for infinite random uncorrelated networks and we provide a message-passing formulation that works well in sparse real-world networks. The interplay of the extended range and heterogeneity leads to novel critical behavior in scale-free networks.

The Development of Wattpad Digital Fiction Story Ideas in Response to Readers’ Feedback

Digital literature is literature in electronic/digital media. Such literature offers a forum for intensive communication, in which readers may provide suggestions, ideas, opinions, and comments. This feedback can provide new insights for a digital fiction storyline. This is what is called as a collaborative idea. The information transfer process on Wattpad uses the circular model of communication created by Osgood and Schramm during 1954. This research is conducted using the phenomenological method. The data is taken from a popular novel entitled The Devil's Own. The data is grouped using the theory of readers’ comments patterns on digital literature. The results of this study show that the transfer of information on the Wattpad digital platform can be in the form of ideas, criticism, opinions, suggestions, and information, each of which represents a two-way form of interaction between the readers and the writer. This interaction continues until the work is complete. In the collaborative idea phase, the digital literary work is enriched through the process of combining the writer’s and the readers’ ideas. The combined ideas may contribute to further development of the story.