Network Interactions Research Articles

Understanding destination marketing processes through film tourism: local and global networks

ABSTRACT This study employs actor-network theory to examine the dynamics of destination marketing in Hokkaido, Japan, where countless films are shot. It is among the first to adopt the local/global network framework in tourism studies, and examine tourism processes through the mobilization, interaction, and disintegration of networks. Networks are understood vis-à-vis actors, and not by the static notion of “power over,” but through the dynamic enactment of the notion of “power to.” The findings show that networks exercise power within them instead of top-down control, and can help practitioners market destinations successfully.

Multi-trait association analysis reveals shared genetic loci between Alzheimer's disease and cardiovascular traits.

Several cardiovascular traits and diseases co-occur with Alzheimer's disease. We mapped their shared genetic architecture using multi-trait genome-wide association studies. Subsequent fine-mapping and colocalisation highlighted 16 genetic loci associated with both Alzheimer's and cardiovascular diseases. We prioritised rs11786896, which colocalised with Alzheimer's disease, atrial fibrillation and expression of PLEC in the heart left ventricle, and rs7529220, which colocalised with Alzheimer's disease, atrial fibrillation and expression of C1Q family genes. Single-cell RNA-sequencing data, co-expression network and protein-protein interaction analyses provided evidence for different mechanisms of PLEC, which is upregulated in left ventricular endothelium and cardiomyocytes with heart failure and in brain astrocytes with Alzheimer's disease. Similar common mechanisms are implicated for C1Q in heart macrophages with heart failure and in brain microglia with Alzheimer's disease. These findings highlight inflammatory and pleomorphic risk determinants for the co-occurrence of Alzheimer's and cardiovascular diseases and suggest PLEC, C1Q and their interacting proteins as potential therapeutic targets.

Proteomic study of cerebrospinal fluid in adult tethered cord syndrome: Chemical structure and function of apolipoprotein B.

Adult tethered cord syndrome (ATCS) has a hidden onset and delayed clinical symptoms. The purpose of this study is to identify hub proteins in the cerebrospinal fluid of ATCS patients through bioinformatics analysis, and to find significant heterogeneity in these proteins between ATCS patients and non ATCS patients (control group). Firstly, differential genes were screened based on proteomic results. Compared with the control group, 18 differentially expressed proteins were upregulated and 18 differentially expressed proteins were downregulated in the cerebrospinal fluid of ATCS patients. Then, GO, KEGG, and GESA functional enrichment analysis showed that ATCS patients were active in biological processes such as coagulation, inflammatory response, and regulation of humoral immune response, suggesting the possibility of spinal cord injury. In addition, protein network interaction analysis indicates that APOB, APOC3, FGA, and FGG are defined as hub proteins. The correlation between ATCS patients and immune characteristics was analyzed using the CIBERSORT algorithm, which may have generated a unique immune microenvironment. Finally, Western blotting was used to experimentally validate APOB, APOC3, FGA, and FGG. The results showed that APOB, APOC3, FGA, and FGG were upregulated in the cerebrospinal fluid of ATCS patients and had an important impact on the repair and functional maintenance of spinal cord injury. They can be used as key proteins for early and accurate diagnosis and treatment of spinal cord thrombosis syndrome, and suggest that the spinal cord of ATCS patients may be damaged, which can serve as potential therapeutic targets.

Coordinated distributed model predictive control for multi energy carrier systems.

Introducing Energy hubs (EHs) is a beneficial strategy for incorporating quickly expanding renewable energies. However, the stochastic nature of renewable energy sources (RESs) and fluctuating energy demand have produced a number of difficulties, including unstable voltage/frequency, challenging energy management, and difficult network interaction. Additionally, the changing in response time of electrical and heat demands will make control challenging. This paper proposes a distributed control system for use with dynamic EHs. The RESs and loads present in the multi-carrier system cause the dynamics considering here. In order to optimise system performance, this research suggests a distributed model predictive control strategy that considers expected behaviour and operational restrictions. The strategy's potential is demonstrated via simulations in which the proposed scheme is applied to a benchmark system.

Bessel beam optical coherence microscopy enables multiscale assessment of cerebrovascular network morphology and function

Understanding the morphology and function of large-scale cerebrovascular networks is crucial for studying brain health and disease. However, reconciling the demands for imaging on a broad scale with the precision of high-resolution volumetric microscopy has been a persistent challenge. In this study, we introduce Bessel beam optical coherence microscopy with an extended focus to capture the full cortical vascular hierarchy in mice over 1000 × 1000 × 360 μm3 field-of-view at capillary level resolution. The post-processing pipeline leverages a supervised deep learning approach for precise 3D segmentation of high-resolution angiograms, hence permitting reliable examination of microvascular structures at multiple spatial scales. Coupled with high-sensitivity Doppler optical coherence tomography, our method enables the computation of both axial and transverse blood velocity components as well as vessel-specific blood flow direction, facilitating a detailed assessment of morpho-functional characteristics across all vessel dimensions. Through graph-based analysis, we deliver insights into vascular connectivity, all the way from individual capillaries to broader network interactions, a task traditionally challenging for in vivo studies. The new imaging and analysis framework extends the frontiers of research into cerebrovascular function and neurovascular pathologies.

Model of Policy Network in Advocacy for the Formulation of Qanun Draft on Protection and Fulfillment of the Rights of People with Disabilities

This study aims to analyze the interaction and interdependence of policy networks, identify inhibiting and supporting factors, and formulate an effective policy network model in the formulation of the Qanun for the protection and fulfillment of the rights of persons with disabilities in North Aceh Regency. A qualitative approach was used in this study, with data collection methods including in-depth interviews, focus group discussions (FGD), observations, and document studies.The results of the study indicate that the interaction and interdependence among actors in the policy network in North Aceh Regency are still not optimal. The involved actors often work separately without adequate coordination, and differences in interests and priorities hinder the achievement of common goals. The main inhibiting factors include a lack of resources, differences in interests among actors, and low public awareness of the rights of persons with disabilities. On the other hand, supporting factors include the commitment of the local government, support from NGOs, and initiatives from the community of persons with disabilities.An effective policy network model includes enhancing coordination among actors, establishing regular communication forums, strengthening the capacity of involved actors, and active participation from the community of persons with disabilities. By implementing this model, it is expected that the formulation of the Qanun for the protection and fulfillment of the rights of persons with disabilities in North Aceh Regency can proceed more effectively and inclusively.

Vessel Trajectory Prediction Based on AIS Data: Dual-Path Spatial–Temporal Attention Network with Multi-Attribute Information

With the rapid growth of the global shipping industry, the increasing number of vessels has brought significant challenges to navigation safety and management. Vessel trajectory prediction technology plays a crucial role in route optimization and collision avoidance. However, current prediction methods face limitations when dealing with complex vessel interactions and multi-dimensional attribute information. Most models rely solely on global modeling in the temporal dimension, considering spatial interactions only later, failing to capture dynamic changes in trajectory interactions at different time points. Additionally, these methods do not fully utilize the multi-attribute information in AIS data, and the simple concatenation of attributes limits the model’s potential. To address these issues, this paper proposes a dual spacial–temporal attention network with multi-attribute information (DualSTMA). This network models vessel behavior and interactions through two distinct paths, comprehensively considering individual vessel intentions and dynamic interactions. Moreover, we divide vessel attributes into dynamic and static categories, with dynamic attributes fused during feature preprocessing, and with static attributes being controlled through a gating mechanism during spatial interactions to regulate the importance of neighboring vessel features. Benchmark tests on real AIS data show that DualSTMA significantly outperforms existing methods in prediction accuracy. Ablation studies and visual analyses further validate the model’s reliability and advantages.

Supramolecular Co (II) Complex Fabricated From Adenine Derivative: Synthesis, Crystal Structure, Hirshfeld Surface, DFT Optimization, Anticancer, and Molecular Docking Studies

ABSTRACTThis article presents the synthesis of a novel mononuclear Co (II) complex [Co(9‐BuA)2Cl2] (1), its characterization, supramolecular packing pattern, theoretical calculations, anticancer properties, and molecular docking studies. Complex 1 was generated from 9‐butyl adenine (9‐BuA) building block and characterized by spectroscopic methods (FT‐IR, mass, elemental analysis) and single crystal X‐ray diffraction analysis. The cobalt (II) ion in complex 1 is distorted in its tetrahedral environment. The Co+2 is coordinated to the two rare N1 binding sites of the pyrimidinate moiety of two 9‐BuA ligands and two chlorine atoms occupying the axial positions. Both intramolecular and intermolecular hydrogen bonds support the formation of supramolecular assembly and stabilize the crystal structure. The nature of the intermolecular interactions in the supramolecular network was also decoded by Hirshfeld surface analysis and molecular surface contours (dnorm). The percentage contributions are represented by 2D fingerprint plots. The average energy between dimers was determined by the energy framework analysis, and the crystal packing's three‐dimensional topology was also investigated. Density functional theory (DFT) has been used to ascertain the geometry and interactions in the complex. The cytotoxic effects of Co (II) complex 1 and corresponding 9‐BuA ligand were investigated in Dalton's lymphoma (DL) malignant cancer cells and on normal peripheral blood mononuclear cells (PBMCs) to evaluate their anticancer activity. Finally, molecular docking analyses have been carried out to analyze the nature of molecular interactions between Co (II) complex 1 and the receptor.

Soil fungal networks exhibit sparser interactions than bacterial networks in diseased banana plantations.

Soil microorganisms are pivotal in mitigating soil-borne diseases. The intricate mechanisms underlying the interactions among microbes and their impact on disease occurrence remain enigmatic. This study underscores that a reduction in fungal network interactions correlates with the incidence of soil-borne Fusarium wilt.

LABORATORY PLATFORM FOR DEMONSTRATING THE SYMMETRICAL COMPONENTS ȚUGULEA POWER THEORY APPLIED ON GRID MODELS WITH NEUTRAL CONDUCTOR

In the context of the ever-increasing complexity of modern power systems, optimizing consumers’ performance to improve electrical energy quality becomes paramount. This article thoroughly examines the power transfer effects in the context of distorting and non-symmetrical regimes in three-phase, four-wire power systems, focusing on heavily nonlinear and unbalanced consumer influence across the grid. Particular emphasis is placed on the impact of these regimes on the parasitic active and reactive powers affecting linear and balanced consumers due to distorting and unbalanced ones. An essential aspect of this analysis is including the neutral conductor in the experimental circuit, enhancing relevance and a more profound understanding of consumer interactions in modern networks. Quantitative aspects of the phenomena involved are assessed from the perspective offered by SCPT (introduced by Andrei Ţugulea), allowing us to identify the source of non-symmetry and residual powers through comprehensive power balance equations for the active and reactive powers.

Introducing Landmarks: The Tugu Yogyakarta's Popularity in Literature Review and Online Media

This paper explores the cultural and urban significance of Tugu Yogyakarta, a famous monument in Yogyakarta, Indonesia. Located at the city's main crossroads, Tugu Yogyakarta is essential to Yogyakarta's Philosophical Axis, symbolizing the city's identity and pride. This analysis examines the academic discourse and social media presence of Tugu Yogyakarta, highlighting the monument's historical, cultural, and urban importance. The study emphasizes the role of social media platforms such as Instagram and TikTok in promoting the monument to a broader audience through visual and interactive content, with virtual reality (VR) technology discussed to provide virtual tours, increasing public engagement and awareness without time and distance limitations. The findings expose that academic literature, predominantly produced by Indonesian researchers, focuses on cultural heritage, urban design, and educational roles, while the topic is just starting to gain attention internationally. The social media analysis shows strong public engagement, with hashtags like #tugujogja widely used, reflecting the monument's cultural significance. This study combines a literature review with social media data analysis, making it a unique approach to comprehensively assess the monument's popularity and public awareness of its historical and cultural value. The social media data was analyzed using Gephi and Excel to calculate hashtag frequency and visualize network interactions. The findings show the critical contribution of Tugu Yogyakarta to the sustainability of cultural heritage preservation. The study highlights the synergistic relationship between academic research and the social media presence in promoting Tugu Yogyakarta, with digital platforms significantly boosting its visibility and public engagement. In conclusion, this study provides a multifaceted analysis of Tugu Yogyakarta, integrating cultural aspects, urban elements, and city marketing strategies. Successful promotion of the monument through academic works and social media can enhance heritage conservation and strengthen the public's engagement with Yogyakarta's historical landmarks.

Overexpression of miRNA29a gene inhibits proliferation and promotes apoptosis of jejunal epithelial cells in yak.

MicroRNAs (miRNAs) were identified to be involved in various biological functions by regulating the degradation or suppressing the translation of their downstream target genes. Recent studies have identified miR-29a play a key role in functions of mammal cell differentiation, proliferation, apoptosis, and signal transduction. However, the underlying functions for miR-29a in jejunal epithelial cells biological function still to be investigated. In order to explore the yak jejunal epithelial cells proliferation and barrier dysfunction with over expression of miR-29a gene, three 0-day-old Pamir male yaks were randomly selected and slaughtered in present study, and the jejunal epithelial cells were isolated and cultured to determine yak jejunal epithelial cells proliferation and protein composition on differential expression of miR-29a gene in Pamir plateau. Here, we demonstrated that the overexpression of miR-29a gene could inhibit the proliferation of Pamir yaks jejunum epithelial cells, and contribute to the apoptosis of Pamir yaks jejunal epithelial cells with some extent. A total of 133 differentially expressed proteins were identified in different expression of miR-29a groups by label-free Mass Spectrometry (MS), which could be concluded to two predominant themes: cell proliferation and inflammatory response. Interestingly, GPR41, as a bridge protein, was contacted two predominant themes to involved in Pamir Yaks jejunal mechanical barrier PPI network, and the target proteins displayed strong mutual interactions in the complex PPI network. Overall, our study suggested that the over-expression miR-29a inhibited the jejunal epithelial cells proliferation and the expressions of specific proteins, which damaged jejunal barrier function to slow down the intestine structure and function advanced mature development during young livestock period for influence the enhanced performance of production efficiency.

Exploration of the Active Components and Mechanism of Jiegeng (Platycodonis Radix) in the Treatment of Influenza Virus Pneumonia Through Network Pharmacology Analysis and Experimental Verification.

This study aimed to explore the pathogenesis of platycodin D and luteolin, which are both active components in Jiegeng (Platycodonis Radix), in the treatment of influenza virus pneumonia through network pharmacology analysis combined with experimental verification. The bioactive components of Jiegeng (Platycodonis Radix) were screened by TCMSP and literature mining, and the results were standardized via the UniProt database. The action targets for the disease were identified from databases including OMIM, GeneCards, TTD, DisGeNET, and PharmGKB. Then, the visualized key target regulatory network and protein-protein interaction (PPI) network for the active components were established using Cytoscape3.7.1 software. The findings were illustrated through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. The intervention concentrations of platycodin D and luteolin were screened by the CCK8 method, and the important signaling pathways of platycodin D and luteolin for treating influenza virus pneumonia were verified by RT-qPCR and Western blot tests. From data mining, 89 common drug-disease targets were screened out, and five major active components of Jiegeng (Platycodonis Radix), including platycodin D and luteolin, were obtained. Besides, 11 therapeutic targets including IL-17, IL-6, TNF-α, JUN, and MAKP1 were identified by PPI network analysis. GO and KEGG enrichment analyses showed that the pathways most related to the mechanisms of Jiegeng (Platycodonis Radix) against influenza virus pneumonia included the TNF and IL-17 signaling pathways and apoptosis. Invitro experiments demonstrated that the model group exhibited a notable elevation in mRNA levels of IL-6, IL-17, TNF-α, JUN, MAPK1, and the IL-17/-acting protein ratio, as compared to the control group (p < 0.05). In contrast to the model group, the IL-6, IL-17, TNF-α, JUN, MAPK1 mRNA expression levels, and the IL-17 protein ratio in both the platycodin D group and luteolin group were considerably decreased (p < 0.05). Combined with network pharmacology and experimental verification, this study revealed that platycodin D and luteolin in Jiegeng (Platycodonis Radix) may treat influenza virus pneumonia by regulating inflammation through the IL-17 signaling pathway.

Slamsex as slow edgework: Sexualized drug use and harm reduction in post-AIDS Taiwan

BackgroundSince the mid-2010s, slamsex—sexualized drug use involving intravenously injecting meth—has rapidly emerged in metropolitan gay communities as a sociosexual practice necessitating harm reduction interventions. However, its impact on gay men's sociosexual lives and HIV technologies is not well understood. This paper addresses this gap by investigating two intertwined temporal dimensions of slamsex, viewing it as a form of slow edgework in post-AIDS Taiwan. MethodsEthnographic research was conducted in Taiwan between 2022 and 2024, involving 30 interviews with gay men who practice slamsex and 7 HIV/AIDS NGO representatives. Semi-structured interviews focused on slamming events, covering their edge, transition, and healthcare network. ResultsFindings reveal paradoxes within edgework, demonstrating that slamsex can be both extreme and risky, as well as slow and mundane. Participants navigated state surveillance and the materiality of syringes through meticulous risk calculations and digital-savvy strategies for acquiring clean syringes. The practice involved risk and a networked economy of care services provided by other injectors. In response to HIV technologies (PrEP and viral load disclosure), gay men in this study normalized HIV/AIDS while developing a sense of vulnerability to their own infection. ConclusionIn the era of HIV/AIDS normalization, slamsex as slow edgework underscores the need for temporally and spatially nuanced discussions on drug policy. This study highlights the importance of culturally tailored interventions that consider slow, networked interactions to provide harm reduction for men on the chemsex scene, as well as the needs for more evidence-based, non-discriminatory research on queer sexual health and drug studies.

Metadisciplinary competencies and assessment of their maturity in the organisation of the educational process at teacher training colleges

Introduction. The labour market-driven changes in educational requirements, the development of information technologies and transformation of social relations require students’ new subject-specific and metadisciplinary competencies which should be formed at all levels of education. The aim of the study is to substantiate the role of metadisciplinary competencies and assessment of their maturity in the organisation of the educational process in teacher training colleges. Materials and methods. The study involved 1,742 students of teacher training colleges of the Chechen Republic, Republic of Ingushetia, Republic of North Ossetia–Alania, Republic of Dagestan, Kabardino-Balkarian Republic and Karachay-Cherkess Republic (Russian Federation). Methods: source analysis, author’s questionnaire for diagnosing metadisciplinary competencies in students of pedagogical colleges, methodology of assessing communication and organisational aptitudes COA-1 (V.A. Sinyavsky, B.A. Fedorishin). Results. The monitoring of the maturity level in metadisciplinary competencies revealed the deficiency in students’ goal-setting, information search abilities, cooperation and self-assessment. The following maturity level of metadisciplinary competencies in students of teacher training colleges was revealed: the majority of learners showed a goal-setting level (67.4%), information search and analysis ability (67.4%), cooperation level (68.1%), and self-assessment level (68.6%) – as specific of the average level. The elaborated model of educational process continuity covering schools, pedagogical colleges and teacher training colleges was based on the development of metadisciplinary competencies. Network interaction of pedagogical workshops was set up in secondary vocational schools of the North Caucasus Federal District (NCFD) of the Russian Federation – as a mechanism for ensuring consistency and continuity of future teachers’ training in the system of secondary vocational and higher pedagogical education. Conclusion. The implementation of the research results into the practice of pedagogical colleges and universities allows to improve the quality of future teachers’ schooling. The graduates of educational institutions involved in the network interaction of pedagogical workshops will possess not only subject-specific knowledge but also metadisciplinary competencies necessary for successful professional activity.

Application of artificial intelligence in career development of women in STEM field: Counseling, network construction and recruitment

With the rapid development of science and technology, the application of artificial intelligence (AI) in STEM (science, technology, engineering and mathematics) is increasingly extensive, which provides a new idea for solving the challenges of women's career development in STEM. This paper deeply discusses the application of AI in counseling, network construction and recruitment of women's STEM career development, aiming at promoting gender equality and women's career growth. In career counseling, AI technology provides customized career advice and development path for women through deep learning and big data analysis. According to personal education background, skill level, hobbies and career goals, the system intelligently recommends suitable career directions, and updates industry trends and job market data in real time to help women make more informed career choices. The AI tutoring system also enhances women's professional self-confidence through functions such as simulated interviews and career planning exercises. In terms of network construction, AI helps women to expand their professional networks more effectively through intelligent recommendation system. Based on user behavior data and preferences, AI accurately recommends industry seminars, technical exchange activities and online communities to promote women to establish contacts with like-minded professionals. AI also assists women in managing and maintaining network relationships, ensures the continuity of network interaction through intelligent reminding functions, and identifies key nodes and influential people to enhance network quality. In the recruitment process, AI technology reduces gender bias and improves the fairness and transparency of recruitment through automatic resume screening, standardized interview process and competency-based evaluation model. AI system can analyze a large amount of data, accurately match the skills and job requirements of female candidates, and improve the employment rate of women in STEM field. At the same time, through transparent algorithm decision-making process and fairness check, the potential gender bias problem in AI algorithm is overcome. The research in this paper provides theoretical support and practical guidance for using AI technology to promote women's career development in STEM field, and helps to build a more equal and inclusive scientific and technological working environment.

Dietary omega-3 polyunsaturated fatty acids reduce cytochrome c oxidase in brain white matter and sensorimotor regions while increasing functional interactions between neural systems related to escape behavior in postpartum rats.

Previously, we showed that omega-3 polyunsaturated fatty acid n-3 (PUFA) supplementation improved the performance of postpartum rats in the shuttle box escape test (SBET). The brains of these rats were used in the current study which examined brain cytochrome c oxidase (CCO) activity in white matter bundles and 39 regions spanning sensorimotor, limbic, and cognitive areas to determine the effects of n-3 PUFAs on neural metabolic capacity and network interactions. We found that n-3 PUFA supplementation decreased CCO activity in white matter bundles, deep and superficial areas within the inferior colliculus, the anterior and barrel field regions of the primary somatic sensorimotor cortex, the secondary somatic sensorimotor cortex, the lateral, anterior regions of the secondary visual cortex and the ventral posterior nucleus of the thalamus, and the medial nucleus of the amygdala. Structural equation modeling revealed that animals consuming diets without n-3 PUFAs exhibited fewer inter-regional interactions when compared to those fed diets with n-3 PUFAs. Without n-3 PUFAs, inter-regional interactions were observed between the posterior cingulate cortex and amygdala as well as among amygdala subregions. With n-3 PUFAs, more inter-regional interactions were observed, particularly between regions associated with fear memory processing and escape. Correlations between regional CCO activity and SBET behavior were observed in rats lacking dietary n-3 PUFAs but not in those supplemented with these nutrients. In conclusion, consumption of n-3 PUFAs results in reduced CCO activity in white matter bundles and sensorimotor regions, reflecting more efficient neurotransmission, and an increase in inter-regional interactions, facilitating escape from footshock.

Towards a method for understanding collaborative learning in makerspaces using dynamic sociotechnical networks

ABSTRACT This study’s objective was to discuss approaches to understanding learning in an educational makerspace by considering complex and dynamic interactions that take place there. Our investigation focusses on technical resources within these interactions – particularly how to gain a structural perspective on these dynamic interactions. We address two primary challenges: (1) conceptualizing makerspace activity as networks of human and nonhuman actors, and (2) capturing the structural dynamics of interaction in sociotechnical makerspace networks, as well as discussing how solving these challenges can help understand technology-mediated collaborative learning practices in the makerspace. We present potential approaches to yield a more granular and nuanced view based on video data on the interplay between collaborators and technical tools and materials, such as how to transform video data into structural data, as well as capture and represent dynamic networks. We discuss how these approaches can inform researchers about collaborative learning in makerspaces by discussing students’ sociotechnical ego-networks, changing roles and the use of sociotechnical structural data as background information in qualitative analysis. Furthermore, the paper examines our study’s broader implications for understanding makerspace networks, suggesting node-grouping strategies and sociotechnograms to simplify and name the display of sociotechnical interdependencies.

Organizational culture of professional’s personality: Features of modern content and formation in the context of digital development of the educational environment

Introduction. The authors examine the problem of forming a personality’s organizational culture with an emphasis on the becoming of a professional’s personality in modern conditions of social development.Purpose setting. The article purpose is to identify the features of the professional personality organizational culture in the context of digital development of the educational environment.Methodology and methods of the study. The study of the concept «organizational culture of professional’s personality» is based on the analysis and scientific generalization of publications problematizing the issues of formation of professional qualities of a modern personality that influence the formation of organizational components of its culture. The concept of organizational culture is considered in its general content with an emphasis on the totality of all cultural values created by an organization, determined by the historical and cultural context of the development of society as a whole.Results. Through the generalization of these sources, the features of the content of the concept of «organizational culture of professional’s personality» are revealed. Based on the study of the issues of formation of the organizational culture of professional’s personality in the context of current development of the digital educational environment, it is emphasized that in the context of modern problems of the development of society, its globalization and digitalization, the issues of organizational formation of professional’s personality acquire their own specifics. It is emphasized that the organizational principles of formation of the culture in modern conditions are directly mediated by the development of various forms of network interaction in the educational system. The need for the formation of the motivational component of the organizational culture of a professional in the modern conditions of the development of the digital educational space is emphasized.Conclusion. The contradictions between the challenges of an intensively evolving digital environment in modern conditions of development of the professional education and the personal values of professionals are reflected in the formation of the individual organizational culture, while the organizational component of personality’s general culture is called one of the most important for formation in the professional educational system. As a result, it is emphasized that one of the most important features is the mutual influence of the components of a professional’s digital culture on the components of his organizational culture in the process of becoming a person’s readiness for professional activity.

Constitutive activation of two-component systems reveals regulatory network interactions in Streptococcus agalactiae

Bacterial two-component systems (TCSs) are signaling modules that control physiology, adaptation, and host interactions. A typical TCS consists of a histidine kinase (HK) that activates a response regulator via phosphorylation in response to environmental signals. Here, we systematically test the effect of inactivating the conserved phosphatase activity of HKs to activate TCS signaling pathways. Transcriptome analyses of 14 HK mutants in Streptococcus agalactiae, the leading cause of neonatal meningitis, validate the conserved HK phosphatase mechanism and its role in the inhibition of TCS activity in vivo. Constitutive TCS activation, independent of environmental signals, enables high-resolution mapping of the regulons for several TCSs (e.g., SaeRS, BceRS, VncRS, DltRS, HK11030, HK02290) and reveals the functional diversity of TCS signaling pathways, ranging from highly specialized to interconnected global regulatory networks. Targeted analysis shows that the SaeRS-regulated PbsP adhesin acts as a signaling molecule to activate CovRS signaling, thereby linking the major regulators of host-pathogen interactions. Furthermore, constitutive BceRS activation reveals drug-independent activity, suggesting a role in cell envelope homeostasis beyond antimicrobial resistance. This study highlights the versatility of constitutive TCS activation, via phosphatase-deficient HKs, to uncover regulatory networks and biological processes.