Information Transfer Research Articles

Measuring and understanding information storage and transfer in a simulated human gut microbiome.

Considering biological systems as information processing entities and analyzing their organizational structure via information-theoretic measures has become an established approach in life sciences. We transfer this framework to a field of broad general interest, the human gut microbiome. We use BacArena, a software combining agent-based modelling and flux-balance analysis, to simulate a simplified human intestinal microbiome (SIHUMI). In a first step, we derive information theoretic measures from the simulated abundance data, and, in a second step, relate them to the metabolic processes underlying the abundance data. Our study provides further evidence on the role of active information storage as an indicator of unexpected structural change in the observed system. Besides, we show that information transfer reflects coherent behavior in the microbial community, both as a reaction to environmental changes and as a result of direct effective interaction. In this sense, purely abundance-based information theoretic measures can provide meaningful insight on metabolic interactions within bacterial communities. Furthermore, we shed light on the important however little noticed technical aspect of distinguishing immediate and delayed effects in the interpretation of local information theoretical measures.

Patterned Ultraslippery Surfaces of Stainless Steel Prepared by Femtosecond Laser Ablation for Directional Manipulation of Liquid Droplets.

Slippery liquid-infused porous surfaces (SLIPS) have promising applications in chip laboratories, nanofriction power generation, and microfluidics due to their excellent properties such as good hydrophobicity and low adhesion. However, the self-driven stability of conventionally lubricated surfaces is not high, and the velocity of liquid droplets is difficult to regulate. This greatly limits the potential applications of SLIPS. A strategy is offered to prepare microporous structures of SLIPS directly on a stainless-steel substrate using femtosecond laser processing technology as the main means to realize exhibiting smoothness to liquids. At the same time, the principle of bionics is utilized, the porous structure of SLIPS is combined with the groove structure of rice leaves, or porous structures are combined with the wedge structure of shorebird beak to prepare the three-dimensional structure of SLIPS. Droplets exhibit significant individual anisotropy on three-dimensional (3D) SLIPS of leaf-like groove stripe structure in rice, enabling the precise control of droplet motion direction. When droplets are transported in wedge-shaped SLIPS with an asymmetric structure, the wedge edge can limit the direction of droplet motion while squeezing the droplet to generate Laplace pressure gradient, which achieves continuous self-driven transport of droplets. In addition, based on the above two processing strategies, an information transfer device is designed: the splicing of the self-driven transport surface with anisotropic topological channels enables the differential drive for liquid transport, which provides the conditions for the information transfer of the droplets. This strategy not only is simple and efficient but also provides new ideas for the effective development of multifunctional SLIPS as well as lab-on-a-chip and microfluidic domains.

Application of AI in the creation of discharge summaries in psychiatric clinics.

The integration of artificial intelligence (AI; ChatGPT 4.0) into medical workflows presents a great potential to enhance efficiency and quality. The use of artificial intelligence in the creation of discharge summaries seems particularly interesting and valid. The course of each hospitalization is described in the discharge summary, which is given to each patient and then to his general practitioner at the end of hospital treatment. An exploratory analysis of discharge summaries in psychiatric clinics underscores that these documents must fulfill diverse and specific requirements. Nevertheless, AI-generated discharge summaries offer the opportunity to optimize information transfer and alleviate the workload on physicians. The study evaluates the quality of discharge summaries produced by clinical staff and by an AI model (ChatGPT 4.0). The clinicians involved in writing of the discharge summaries were not informed about the study's purpose or methodology. The completed summaries were subsequently assessed by four attending physicians using predefined criteria. These physicians were also blinded to the study's objectives and were unaware of the individual authors of the summaries. The evaluation criteria included consistency, completeness, and comprehensibility. Additionally, the time required to prepare these summaries and its impact on overall quality were analyzed. The results of the study indicate that discharge summaries generated by AI are more efficient than discharge summaries prepared by clinic staff. The AI was particularly effective in terms of coherence and information structure. Further research, training and development is needed to improve the accuracy and reliability of AI-generated discharge summaries.

Exploring the Experiences and Perceptions of the Utilisation of Structured Clinical Handover Frameworks by Nurses Working in Acute Care Settings: A Scoping Review.

There is increased interest in implementing structured clinical handover frameworks to improve clinical handover processes. Research postulates that structured clinical handover frameworks increase the quality of handovers; yet inconsistencies enacting these frameworks exist which has a potential to jeopardise the quality of communication during handovers thereby defeating the purpose of these frameworks. This scoping review aims to analyse and synthesise what is currently known of the nurses' experiences and perceptions in implementing structured clinical handover frameworks and identify knowledge gaps in relation to this topic area. A scoping review guided by the PRISMA-ScR checklist. A systematic search of five electronic databases was undertaken to identify peer-reviewed primary research studies which met the predetermined eligibility criteria. In total, 301 studies were imported into COVIDENCE, screened and assessed for eligibility resulting in 23 studies remaining. From the eligible studies, data was extracted, collated, appraised, summarised and interpreted. MEDLINE, CINHAL, ProQuest, EMCARE, Web of Science and Informit. Twenty three studies were included in this review which yielded the following major themes: (1) quality and completeness of information transfer; (2) interprofessional collaboration; (3) challenges impacting the experience of implementing the structured clinical handover frameworks and (4) perceived impacts on quality, patient safety and health outcomes. There are key benefits and issues experienced and perceived by nurses implementing structured clinical handover frameworks and this review identifies opportunities for further improvements. Future research should explore the perceived associations with patient outcomes. This review highlights the importance of structured clinical handover frameworks, the nurses' experiences in implementing these frameworks and strategies to improve the effectiveness of these frameworks. No Patient or Public Contributions as this study is a review of published primary evidence.

Complexity and Challenges of Cross-Cover Care in Graduate Medical Education: A Qualitative Study.

Cross-cover care (care for hospitalized patients when the primary team is absent) is a common graduate medical education responsibility; however, it may lead to increased preventable adverse events. Despite understanding the difficulties of cross-cover care, medical educators lack comprehensive knowledge of specific challenges that residents face and how they handle these challenges. This study explores the challenges residents experience when providing cross-cover care. The authors conducted 60 semistructured, qualitative interviews with 20 internal medicine and surgery residents at a single academic institution between October 2021 and April 2022. Each resident participated in 3 interviews, 2 immediately after a shift. Working inductively, the authors generated codes for important themes. Study design and data collection were guided by interpretive description, a qualitative approach for health care research focused on experiences and perceptions to develop meaningful findings. To illustrate residents' workflow and aid in quality improvement efforts, the authors created a process map. Seventeen cross-cover challenges were organized into 7 interrelated and overlapping themes: lack of baseline knowledge, inadequate or inaccurate information transfer from the primary team, unfamiliarity with cross-cover patients, high task volume leading to increased interruptions, ill-defined roles leading to unmet expectations from others, perceived decreased access to resources, and fatigue. The process map illustrates 4 cross-cover workflow components: information transfer from the primary team to the cross-cover team, direct handling of cross-cover tasks that are assigned by the primary team or that arise during the time of cross-cover, information transfer back to primary team and other care team members, and responsibilities that residents have overnight that are not directly related to cross-cover. Residents face substantial challenges when providing cross-cover care, which have important implications for patient safety and resident well-being. The medical community should strive to develop educational and structural interventions to improve this process.

Ultraviolet-Visible-Near-Infrared Broadband Photodetector Enabled by Cs2AgBiBr6: Sn/Conjugated Polymer Heterojunction.

Broadband photodetectors covering ultraviolet (UV) to near-infrared (NIR) wavelengths play an essential role in communications, imaging, and biosensing. Developing a single photodetector with a broadband optical response operating at room temperature can significantly reduce the complexity and cost of receiver systems for multispectral applications. In this work, utilizing the porous structure characteristics of Cs2AgBiBr6:Sn thin films, a self-powered detector with broad spectral response (UV-vis-NIR) was achieved by constructing an effective Cs2AgBiBr6:Sn/PDPP3T heterojunction. This photodetector possesses a broad response spectrum from 350 to 950 nm with an average detection rate exceeding 1011 Jones and maintains excellent photoelectric performance over two months. Sn2+ doping effectively reduces the bandgap of Cs2AgBiBr6, enhancing its near-infrared absorption and optimizing energy level alignment with conjugated polymer (diketopyrrolopyrrole-terthiophene, PDPP3T). More importantly, the porous structure derived from Sn doping significantly improves carrier extraction and transport under a near-infrared light response at the heterojunction interface. Utilizing its broad spectral response characteristics in the UV-vis-NIR range, a novel information transfer and encryption system employing full optical modulation has been realized within a single perovskite photodetector. This work provides a new approach to fabricating lead-free double perovskite broadband photodetectors with potential applications in photonic devices.

Administration or marketization: Environmental regulation, marketization and agricultural green total factor productivity

The mature market can effectively reflect the value of green agricultural products, but the market in developing countries is developing slowly, so how to implement administrative environmental policies while cultivating the market has become the key to the green development of agriculture. In this paper, the government and the market are discussed under the common goal of agricultural green development. Based on the provincial panel data of China, taking agricultural green total factor productivity (AGTFP) as a breakthrough point, the relationship between environmental regulation tools, marketization processes and agricultural green development, specific applicable conditions and transmission mechanisms are explored, and further subdivided into factor and product markets to verify their correlation with AGTFP. The results show that environmental regulation and marketization processes and AGTFP are positively correlated. The former can establish a positive relationship with AGTFP through resource reallocation and technological innovation, and the latter can do so by improving the level of information and land transfer and perfecting infrastructure construction. These findings will provide new ideas for developing countries similar to China's agricultural development and enlighten developing countries pay full attention to and cultivate the market while formulating appropriate environmental regulation policies. In addition, they also need to coordinate the development of technology and organizations.

Breast-torso movement coordination during running in different breast support

To reduce breast motion with a bra, we need to understand what drives the motion of the breasts, and what variables change as support increases. Quantifying breast-torso coordination and movement complexity across the gait cycle may offer deeper insights than previously reported discrete time lag. We aimed to compare breast-torso coordination and mutual influence across breast support conditions during running. Twelve female participants ran on a treadmill at 10 km h−1 with an encapsulation and compression sports bra, and in no bra. Nipple and torso position was recorded. Vector coding, granger causality and transfer entropy were calculated within gait cycles. In both bra conditions, a greater percentage of gait cycles was spent with the breast and torso in-phase (> 90%) compared to no bra running (~ 66%, p < 0.001), with most time spent in-phase in the encapsulation versus compression bra (p = 0.006). There was a main effect of breast support condition on Granger causality (p < 0.001), both from breast to torso and torso to breast. Transfer of information was highest from torso to breast, compared to breast to torso in all conditions. Overall, these results provide novel insight into the mutual and complex interaction between the breast and the torso while running in different bra conditions. The approaches presented allow for a greater understanding of bra support conditions than existing discrete measures, which may relate to comfort and performance. Therefore, measures of coupling, predictability and transfer of complexity should be employed in future work examining these features.

Performance Evaluation of Non-Lambertian SLIPT for 6G Visible Light Communication Systems

Visible light communication (VLC) has emerged as one promising candidate technique to improve the throughput performance in future sixth-generation (6G) mobile communication networks. Due to the limited battery capacity of VLC systems, light energy harvesting has been proposed and incorporated for achieving the simultaneous lightwave information and power transfer (SLIPT) function and for improving the overall energy efficiency. Nevertheless, almost all reported works are limited to SLIPT scenarios adopting a basic and well-discussed Lambertian optical transmitter, which definitely cannot characterize the potential and essential scenarios employing distinctive non-Lambertian optical transmitters with various spatial beam characteristics. For addressing this issue, in this work, SLIPT based on a distinct non-Lambertian optical beam configuration is investigated, and for further enhancing the harvested energy and the achievable data rate, the relevant flexible optical beam configuration method is presented as well. The numerical results show that, for a typical receiver position, compared with about 1.14 mJ harvested energy and a 31.2 Mbps achievable data rate of the baseline Lambertian configuration, a harvested energy gain of up to 1.55 mJ and an achievable data rate gain of 21.1 Mbps can be achieved by the non-Lambertian SLIPT scheme explored here.

Performance analysis of shared relay CR-NOMA network based on SWIPT

With the development of wireless communication technology, the number of devices accessing the communication network is increasing. This paper addresses critical issues such as low spectrum resource utilization and the energy constraints of devices. The investigation focuses on the system performance of the shared relay Cognitive Radio Non-Orthogonal Multiple Access (CR-NOMA) network based on Simultaneous Wireless Information and Power Transfer (SWIPT) network model. Unlike the existing CR-NOMA model in which the secondary network user do not participate in the transmission of information from the primary network, we consider the secondary network near user as shared relay. The shared relay utilizes SWIPT technology to harvest energy using a nonlinear energy harvesting model. Additionally, the shared relay assists in transmitting information from the primary network base station to primary user, as well as from the secondary network base station to far user of the secondary network. Subsequently, we conduct a series of simulations to analyze the effects of Signal-to-Noise Ratio (SNR), power distribution factor, interference threshold, and time-switching (TS) factor on system performance. Furthermore, we compare and analyze the performance of our proposed network model against CR-NOMA network across three dimensions: outage probability, throughput, and energy efficiency. Our results demonstrate that the proposed network model exhibits superior outage performance and enhances user throughput compared to the CR-NOMA network. Additionally, it demonstrates improved energy efficiency compared to the shared relay CR-NOMA network, leading to an overall improvement in network performance.

Patient satisfaction and associated factors with inpatient health services at public hospitals in Ethiopia: a systematic review and meta-analysis

BackgroundThe way the healthcare delivery system is reflected by patient satisfaction. Establishing a health system with better results depends on it. It has been assumed that higher patient satisfaction levels correlate with quality healthcare outcomes. There is little national data to support patient satisfaction with inpatient health services in Ethiopia. In order to estimate the pooled proportion of patient satisfaction and determine the associated factors with inpatient health services at public hospitals, a systematic review and meta-analysis were conducted.MethodsThe Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were followed in the extraction of the data. To get the included studies, the following electronic databases were searched: Pub-Med, Google Scholar, Med-Line, Web of Science, Scopus and Repositories. Software called STATA version 17 was used to analyze statistical data using the random effects model. Forest plots were used to display the pooled results.ResultsOf the 1583 records resulted in electronic databases searching, 11 studies with 3,958 participants were included in this systematic review and meta-analysis. The estimated pooled proportion of patient satisfaction with inpatient health services was found to be 57.4% (95% CI: 50.88–64.59, I2 = 95.25%). Assuring privacy for patients (OR = 7.44, 95% CI: 3.63–15.25, I2 = 0.0%), availability of direction signs (2.96, 95% CI: 1.91–4.57, I2 = 0.0%), providing adequate information (OR = 3.27, 95% CI: 1.63–6,58, I2 = 65.60%), history of previous admission (OR = 0.29, 0.18–0.46, I2 = 86.36%) and providing on time treatment (OR = 1.63, 95% CI: 1.21–2.20, I2 = 86.36%) were statistically significant factors associated with patient satisfaction with inpatient health services.ConclusionThe estimated pooled level of patient satisfaction with inpatient health services is low in Ethiopia. A higher level of patient satisfaction with inpatient health treatments was predicted by factors such as privacy assurance, fast services, availability of direction signs, provision of services with adequate information transfer, and no history of previous admission. To improve patient satisfaction, the Ministry of Health and hospital administration must place a strong emphasis on ensuring the provision of high-quality, standard-based inpatient healthcare.

Research on Intraparticle to Interparticle Entanglement Swapping Protocols

Entanglement is one of the most striking features of quantum systems, whereby its non-classical correlation is an essential resource in numerous quantum protocols. Entanglement can be divided into two categories: interparticle and intraparticle entanglement. There are both distinctions and similarities between these two kinds of entangled states. This work delves into these distinctions and similarities from the following aspects: correlation and non-locality, robustness, the mechanisms of generation and separation, and practical applications. Entanglement swapping is a technique based on quantum entanglement. As entanglement has different categories, entanglement swapping also has various types, including interparticle to interparticle and intraparticle to interparticle. Swapping protocols from intraparticle entanglement to interparticle entanglement can be applied to super quantum dense encoding, quantum information transmission, quantum teleportation, etc. Thus, this work proposes three swapping protocols, from spin–orbit intraparticle entanglement to spin–spin interparticle entanglement, based on Bell state joint measurement, the cross-Kerr medium, and linear optical elements. This work can help us better understand entanglement by analyzing the differences and similarities between the two types of entangled states. It can also enhance entanglement swapping protocols, from spin–orbit intraparticle to spin–spin interparticle entanglement, for use in quantum information transfer.

Virtual Tours as Effective Complement to Building Information Models in Computer-Aided Facility Management Using Internet of Things

This study investigates the integration of Building Information Models (BIMs) and Virtual Tour (VT) environments in the Architecture, Engineering and Construction (AEC) industry, focusing on Computer-Aided Facility Management (CAFM), Computerized Maintenance Management Systems (CMMSs), and data Life-Cycle Assessment (LCA). The interconnected nature of tasks throughout a building’s life cycle increasingly demands a seamless integration of real-time monitoring, 3D models, and building data technologies. While there are numerous examples of effective links between IoT and BIMs, as well as IoT and VTs, a research gap exists concerning VT-BIM integration. This article presents a technical solution that connects BIMs and IoT data using VTs to enhance workflow efficiency and information transfer. The VT is developed upon a pilot based on the Controlled Environments for Living Lab Studies (CELLS), a unique facility designed for flexible monitoring and remote-control processes that incorporate BIMs and IoT technologies. The findings offer valuable insights into the potential of VTs to complement and connect to BIMs from a life-cycle perspective, improving the usability of digital twins for beginner users and contributing to the advancement of the AEC and CAFM industries. Our technical solution helps complete the connectivity of BIMs-VT-IoT, providing an intuitive interface (VT) for rapid data visualisation and access to dashboards, models and building databases. The practical field of application is facility management, enhancing monitoring and asset management tasks. This includes (a) sensor data monitoring, (b) remote control of connected equipment, and (c) centralised access to asset-space information bridging BIM and visual (photographic/video) data.

The Role of Cognitive Schema Theory in the Translation from Arabic into English

This study investigates the role of schema theory in translation and aims to gain knowledge that may progress AI-related domains through the simulation of cognition and AI. Schema theory hypothesizes that translators use mental frameworks (schemata) to organize and interpret information. In the context of translation, schemata play a crucial role in knowledge representation, affecting limitations made during the translation process. A cognitive approach is employed and qualitative methods are used in the analysis. A corpus is collected from the translation of a SL Arabic novel (Frankenstein in Baghdad by A. Saadawi) into TL English, covering domains and language pairs. The translation process is analyzed to identify cognitive patterns employed by the translator as they apply schemata to achieve cross-cultural renditions. Conclusions reveal that schema activation significantly impacts translation choices, influencing how the translator interprets and conveys meaning across languages. Cognitive patterns shed light on how cultural and linguistic factors influence the transfer of information between SL and TL. Additionally, the study uncovers variations in schema utilization across different translation tasks and the adaptability and flexibility of cognitive processes in response to varying contexts and linguistic challenges. By deepening our understanding of schema theory, this research contributes to the design, training, and assessment of AI algorithms. It also provides valuable insights into the cognitive mechanisms underlying successful cross-linguistic communication and offers practical implications for translators engaged in intercultural exchange. Finally, this paper recommends that AI systems can drive advancements in MT and other AI-related fields of prior knowledge to produce accuracy and more closely with native speakers by using schema theory concepts.

Resource optimization for cooperative SWIPT-NOMA systems with imperfect SIC

This paper investigates a cooperative non-orthogonal multiple access (NOMA) system designed for multiple users. It integrates simultaneous wireless information and power transfer (SWIPT) while accounting for the imperfections in successive interference cancellation (SIC). In this scenario, a nearby user functions as a relay for a more distant user. Through the utilization of a power splitting (PS) protocol, the nearby user adeptly manages both energy harvesting and decoding signals from users. A user pairing strategy is employed, aiming to guarantee a significant contrast in channel gains between users within each pair. Subsequently, the power allocation coefficients and PS factor for each cluster are derived to optimize the performance of nearby users and amplify the overall system throughput. This optimization takes into account the individual target rates of each user while accommodating the presence of imperfect SIC. Numerical results affirm the enhanced performance of the nearby user, showcasing greater system throughput and minimal outage probability compared to existing schemes, even in the presence of imperfect SIC.

Communication during telemedicine consultations in general practice: perspectives from general practitioners and their patients

BackgroundTelemedicine allows delivery of healthcare to occur between parties that are not in the same location. As telemedicine users are not co-present, effective communication methods are crucial to the delivery and reception of information. The aim of this study was to explore perspectives of general practitioners (GPs) and patients on the interactional components of telemedicine consultations.MethodsSemi-structured qualitative interviews were held with telemedicine users; 15 GPs and nine patients self-selected from a larger telemedicine study. Participants were asked about their preparation for telemedicine consultations, conducting telemedicine consultations and post-consultation activities. Deidentified transcripts from the interviews were analysed thematically.ResultsGPs and patients discussed factors they used to decide whether a consultation would be best conducted by telemedicine or in-person; the condition to be discussed, the existing doctor-patient relationship and whether physical examination was required. Participants also described how they prepared for their telemedicine consultations, gathering relevant documents, and reading previous notes. Participants described strategies they employed to optimise the telemedicine interaction; improving conversational flow and building rapport, as well as difficulties they experienced when trying to provide and receive care via telemedicine.ConclusionsPatient factors including health literacy and familiarity with technology affect the transfer of information shared during telemedicine consultations and consideration of these factors when choosing patients for telemedicine is required. Many GPs and patients have innate communication skills to effectively deliver and receive care through telemedicine. However, they may not be aware of these subconscious techniques to use to optimise telemedicine consultations. Communication training could be delivered to increase conversational flow, build rapport, and establish safety netting.

The electronic health record: does it enhance or distract from patient safety?

The electronic health record (EHR) is an invaluable tool that may be used to improve patient safety. With a variety of different features, such as clinical decision support and computerized physician order entry, it has enabled improvement of patient care throughout medicine. EHR allows for built-in reminders for such items as antibiotic dosing and venous thromboembolism prophylaxis. In anesthesiology, EHR often improves patient safety by eliminating the need for reliance on manual documentation, by facilitating information transfer and incorporating predictive models for such items as postoperative nausea and vomiting. The use of EHR has been shown to improve patient safety in specific metrics such as using checklists or information transfer amongst clinicians; however, limited data supports that it reduces morbidity and mortality. There are numerous potential pitfalls associated with EHR use to improve patient safety, as well as great potential for future improvement.

The Role of Video Cameras and Emerging Technologies in Disaster Response to Increase Sustainability of Societies: Insights on the 2023 Türkiye–Syria Earthquake

New technologies are being used to facilitate the recognition process during and after earthquakes. These advanced tools are essential to keep track of what is left from of the destruction suffered by the built stock. Among the new technologies are video recordings captured during seismic events, footage from drones, and satellite imagery acquired before and after the event. This review paper presents a series of examples collected from the 2023 Türkiye–Syria earthquakes to illustrate how these new technologies offer a unique and efficient way to capture, document, and transfer information among experts in seismology, earthquake engineering, and disaster management. Whenever possible, these examples are accompanied by simple qualitative explanations to enhance understanding. To demonstrate the potential of video cameras and drone imagery for quantitative analysis, in addition to the various simple examples provided, two case studies are provided—one on road blockages, and another on intensity assessment and wave attenuation as observed in video cameras. These technologies are critical and merit considerable focus, particularly video cameras, which have not received much attention recently, on helping to understand seismic wave passage and their impact on the built environment. Enhancing our use of video cameras in this context can significantly contribute to the sustainability and resilience of our society. With the rapid advancement of image analysis, we advocate for a collaborative platform for accessing and utilizing imagery materials, aiding current and future generations in analysing the causes of such tragedies.

GTAM: a molecular pretraining model with geometric triangle awareness.

Molecular representation learning is pivotal for advancing deep learning applications in quantum chemistry and drug discovery. Existing methods for molecular representation learning often fall short of fully capturing the intricate interactions within chemical bonds of 2D topological graphs and the multifaceted effects of 3D geometric conformations. To overcome these challenges, we present a novel contrastive learning strategy for molecular representation learning, named Geometric Triangle Awareness Model (GTAM). This method integrates innovative molecular encoders for both 2D graphs and 3D conformations, enabling the accurate capture of geometric dependencies among edges in graph-based molecular structures. Furthermore, GTAM is bolstered by the development of two contrastive training objectives designed to facilitate the direct transfer of edge information between 2D topological graphs and 3D geometric conformations, enhancing the functionality of the molecular encoders. Through extensive evaluations on a range of 2D and 3D downstream tasks, our model has demonstrated superior performance over existing approaches. The test code and data of GTAM are available online at https://github.com/StellaHxy/GTAM.

A hypothesis about interrelations of epigenetic factors and transposable elements in memory formation.

The review describes the hypothesis that the drivers of epigenetic regulation in memory formation are transposable elements that influence the expression of specific genes in the brain. The hypothesis is confirmed by research into transposon activation in neuronal stem cells during neuronal differentiation. These changes occur in the hippocampus dentate gyrus, where a pronounced activity of transposons and their insertion near neuron-specific genes have been detected. In experiments on changing the activity of histone acetyltransferase and inhibition of DNA methyltransferase and reverse transcriptase, the involvement of epigenetic factors and retroelements in the mechanisms of memory formation has been shown. Also, a number of studies on different animals have revealed the preservation of long-term memory without the participation of synaptic plasticity. The data obtained suggest that transposons, which are genome sensors highly sensitive to various environmental and internal influences, form memory at the nuclear coding level. Therefore, long-term memory is preserved after elimination of synaptic connections. This is confirmed by the fact that the proteins involved in memory formation, including the transfer of genetic information through synapses between neurons (Arc protein), originate from transposons. Long non-coding RNAs and microRNAs also originate from transposons; their role in memory consolidation has been described. Pathological activation of transposable elements is a likely cause of neurodegenerative diseases with memory impairment. Analysis of the scientific literature allowed us to identify changes in the expression of 40 microRNAs derived from transposons in Alzheimer's disease. For 24 of these microRNAs, the mechanisms of regulation of genes involved in the functioning of the brain have been described. It has been suggested that the microRNAs we identified could become potential tools for regulating transposon activity in the brain in order to improve memory.