Structural Foundation Research Articles

Paeonol Derivative, 6'-Methyl Paeonol, Attenuates Aβ-Induced Pathophysiology in Cortical Neurons and in an Alzheimer's Disease Mice Model.

Herbs themselves and various herbal medicines are great resources for discovering therapeutic drugs for various diseases, including Alzheimer's disease (AD), one of the common neurodegenerative diseases. Utilizing mouse primary cortical neurons and DiBAC4(3), a voltage-sensitive indicator, we have set up a drug screening system and identified an herbal extraction compound, paeonol, obtained from Paeonia lactiflora; this compound is able to ameliorate the abnormal depolarization induced by Aβ42 oligomers. Our aim was to further find effective paeonol derivatives since paeonol has been previously studied. 6'-Methyl paeonol, one of the six paeonol derivatives surveyed, is able to inhibit the abnormal depolarization induced by Aβ oligomers. Furthermore, 6'-methyl paeonol is able to alleviate the NMDA- and AMPA-induced depolarization. When a molecular mechanism was investigated, 6'-methyl paeonol was found to reverse the Aβ-induced increase in ERK phosphorylation. At the animal level, mice injected with 6'-methyl paeonol showed little change in their basic physical parameters compared to the control mice. 6'-Methyl paeonol was able to ameliorate the impairment of memory and learning behavior in J20 mice, an AD mouse model, as measured by the Morris water maze. Thus, paeonol derivatives could provide a structural foundation for developing and designing an effective compound with promising clinical benefits.

Penetration Characteristics of Suction Caisson for Offshore Wind Power: A Field Study

Suction caisson is a new offshore wind power foundation structure developed in recent years. Understanding its penetration characteristics is crucial to the successful application. A field test was conducted in the eastern waters of Rudong, Jiangsu Province, China, to investigate the penetration process of suction caisson. The test results demonstrate that suction caisson can penetrate smoothly to a predetermined elevation of seabed soil under the complex environmental loads, such as natural wind and wave currents. The inclination of the caisson is only 0.018° once the penetration process is complete. The pore water pressure at the outer skirt is primarily influenced by the tide level and drainage conditions of the contact soil layer during penetration, and the peak effective interface pressure at the skirt-soil interface decreases by about 46.7% due to negative pressure inside the skirt. Frictional fatigue effects are found at the skirt-soil interfaces. Meanwhile, the seepage reduction and squeezing induced resistance effects at the skirt-soil interface are the leading causes for the different distributions of effective interface pressure between the inner and outer skirts of the caisson. The findings of this study can guide the future penetration of suction caisson under challenging geological circumstances.

Single-neuron projectomes of mouse paraventricular hypothalamic nucleus oxytocin neurons reveal mutually exclusive projection patterns

Oxytocin (OXT) plays important roles in autonomic control and behavioral modulation. However, it is unknown how the projection patterns of OXT neurons align with underlying physiological functions. Here, we present the reconstructed single-neuron, whole-brain projectomes of 264 OXT neurons of the mouse paraventricular hypothalamic nucleus (PVH) at submicron resolution. These neurons hierarchically clustered into two groups, with distinct morphological and transcriptional characteristics and mutually exclusive projection patterns. Cluster 1 (177 neurons) axons terminated exclusively in the median eminence (ME) and have few collaterals terminating within hypothalamic regions. By contrast, cluster 2 (87 neurons) sent wide-spread axons to multiple brain regions, but excluding ME. Dendritic arbors of OXT neurons also extended outside of the PVH, suggesting capability to sense signals and modulate target regions. These single-neuron resolution observations reveal distinct OXT subpopulations, provide comprehensive analysis of their morphology, and lay the structural foundation for better understanding the functional heterogeneity of OXT neurons.

Modeling of junctionless based dielectric modulated vertical TFET biosensor

This research article focuses on using a junctionless-based dielectric modulated vertical Tunnel FET (VTFET-DM-JL) as a biosensor. The objective is to detect biomolecules without the need for labeling, using electrical signals by modulating the dielectric constant. The JLFET, which is a device without any doping gradient or junction, serves as the structural foundation for this research. To understand the behavior of the structure, a potential model is created in this research which involves solving the Poisson equations (PE) under various boundary conditions. In addition, the incorporation of a high-K gate oxide improves the reliability of the device, particularly in terms of low power consumption. The paper explores the impact of dielectric constant values ranges from 1 to 12 by calculating figure of merit (FOM) values, including linearity, sensitivity, and noise assessment. As an example, Gelatin with a dielectric constant value of 12 exhibits a drain current sensitivity of 6.7 × 108, which is 9 % higher than apomyoglobin (κ = 8.1), 12 % higher than Bacteriophage-T7 (κ = 6.4), and 46 % higher than APTES (κ = 3.57) sensitivity, at a cavity length of 30 nm. Additionally, various FOMs, including linearity, sensitivity, and noise characteristics, are computed for the device across the dielectric constant range of 1–12. The simulated results obtained using the widely available Silvaco TCAD tool is compared with the modeled outcomes. A comprehensive assessment of the FOM standards establishes the promising nature of the proposed VTFET-DM-JL structure in terms of linearity and sensitivity.

Cause, Stability Analysis, and Monitoring of Cracks in the Gate Storehouse of a Flood Diversion Sluice

The cracks in a gate storehouse for a flood-diversion sluice of the Wangfuzhou Water Conservancy Project were studied to diagnose the structural safety. The study was based on an integrated method that involved the analysis of the cause of cracks, an assessment of the crack stability, online safety monitoring and diagnosis, and real-time monitoring and control. The results demonstrated that two dominant factors leading to cracks were the non-uniform settlement of the foundation of this gate storehouse structure combined with temperature drops in winter. By comparing crack-tip stress intensity factors at different cracking depths with concrete fracture toughness, the results showed that cracks at the gate storehouse would not continue to propagate, although some time-dependent components separated from the measuring point did not converge but tended to be closed. Therefore, the diagnosis suggests that the cracks at the gate storehouse are currently in a stable state. Additionally, the crack opening index estimated using the small probability method can be used for future real-time monitoring of crack behavior.

Stresses in repair welding of high-strength steels—part 1: restraint and cold cracking risk

The sustainable and resource-efficient production of wind energy plants requires the use of modern high-strength fine-grain structural steels. This applies to both foundation and erection structures, like mobile or ship cranes. During the assembly of steel structures, unacceptable defects can occasionally be found in the weld area. In most cases, the economical solution would be local thermal gouging of the affected areas and re-welding. Due to the high shrinkage restraint of the joint groove in the overall structure, the superposition of global and local welding-induced stresses may lead to crack formation and component failure, particularly in interaction with the degradation of the microstructure and mechanical properties of high-strength steels during the repair process. However, manufacturers hardly have any information about these issues and there is a lack of recommendations and guidelines to take these safety-relevant aspects into account in adequate repair concepts. The aim of this research is to derive recommendations for repair concepts appropriate to the stresses and materials involved providing a basis for standards and guidelines to avoid cold cracking, damage and expensive reworking especially for high-strength steels. Part 1 of this study involves systematic investigations of influences of shrinkage restraint during repair welding of two high-strength steels S500MLO for offshore application and S960QL for mobile crane structures. The quantification of the shrinkage restraint of repair weld joints was achieved by means of experimental and numerical restraint intensity analysis. In welding experiments with self-restrained slot specimens, restraint intensity and introduction of hydrogen via the welding arc using anti spatter spray were varied systematically to analyse the effect on welding result, residual stresses and cold cracking. It could be shown that increasing restraint intensities result in significantly higher transverse residual stress levels. In the case of hydrogen introduction S500MLO showed no cold cracking independent of the restraint conditions. However, S960QL was found to be considerably cold cracking sensitive if hydrogen is introduced. With increasing restraint intensity length and number of cold cracks increases significantly. Part 2 [1] of this study is focussed on microstructure and residual stresses due to gouging and stress optimization via adequate heat control parameters in repair welding.

Climate change education through drama and social learning: Playful inquiry for building extreme weather events adaptation scenarios

Considering the projected impacts of climate change in upcoming decades, innovative educational approaches should encourage inventive problem-solving techniques and societal change, fostering transformative climate adaptation. The value of drama in climate adaptation education remains a novel area in the environmental education research literature and requires further exploration of its potential benefits to Climate Change Education (CCE). This article presents a proposal for CCE to include various elements in a drama workshop by evaluating a methodological framework. Participants in the workshop studied the vulnerabilities that arose from flooding and droughts while dramatizing different social conflicts to develop building adaptation scenarios. Through the exploration of problems via playful activities, participants collaboratively construct narratives and texts rich with meaning, based on a critical and creative perception of themes, needs, desires, and overlapping ideologies. This short-term experience manifests efficacy in elucidating the underpinnings of social systems structures, human values, and motivations. This article analyzes workshop results, providing a pedagogical structure and theoretical foundation, contributing to a better comprehension of drama in education and the creation of capacities towards CCE.

Optimizing Sensor Placement for Temperature Mapping during Ablation Procedures.

Accurately mapping the temperature during ablation is crucial for improving clinical outcomes. While various sensor configurations have been suggested in the literature, depending on the sensors' type, number, and size, a comprehensive understanding of optimizing these parameters for precise temperature reconstruction is still lacking. This study addresses this gap by introducing a tool based on a theoretical model to optimize the placement of fiber Bragg grating sensors (FBG) within the organ undergoing ablation. The theoretical model serves as a general framework, allowing for adaptation to various situations. In practical application, the model provides a foundational structure, with the flexibility to tailor specific optimal solutions by adjusting problem-specific data. We propose a nonlinear and nonconvex (and, thus, only solvable in an approximated manner) optimization formulation to determine the optimal distribution and three-dimensional placement of FBG arrays. The optimization aims to find a trade-off among two objectives: maximizing the variance of the expected temperatures measured by the sensors, which can be obtained from a predictive simulation that considers both the type of applicator used and the specific organ involved, and maximizing the squared sum of the distances between the sensor pairs. The proposed approach provides a trade-off between collecting diverse temperatures and not having all the sensors concentrated in a single area. We address the optimization problem through the utilization of approximation schemes in programming. We then substantiate the efficacy of this approach through simulations. This study tackles optimizing the FBGs' sensor placement for precise temperature monitoring during tumor ablation. Optimizing the FBG placement enhances temperature mapping, aiding in tumor cell eradication while minimizing damage to surrounding tissues.

The racial replenishment of ethnicity: Asian immigration and the limits of Japanese American assimilation

ABSTRACT A growing literature on racialized assimilation notes the likelihood of simultaneous upward mobility and persistent racial marginalization within immigrant-origin communities of color. Thus far, this literature has focused on the ‘new second generation’ and not fully explored how race, class, and immigration lay the structural foundations for persistent racial and ethnic identity and community formations even into later generations. Leveraging 93 in-depth interviews with third and fourth generation Japanese Americans in suburban Southern California, this paper explores the persistent impact of race and ethnicity on long-time, ostensibly assimilated Americans. Japanese American ethnic persistence is directly influenced by the arrival of similarly racialized, high-skill Asian immigrants who inhabit the same middle-class spaces. As Japanese Americans are racially lumped with these newcomers, they assert their ethnic distinctness as they simultaneously build Asian American communities in recognition of common racialized experiences. Given contemporary US immigration’s non-white majority, this study illustrates the need for further exploration of the complex role of immigration and assimilation in shaping and replenishing middle-class minority understandings of race and ethnicity.

Knowledge brokering at the environmental science-policy interface — examining structure and activity

The environmental science-policy interface, consisting of dynamic interactions between various actors, is increasingly an object of study. In this interface, new types and kinds of boundary organisations are emerging and new types of knowledge brokering are taking place. Given the increasing calls for more evidence-based policy, it is pertinent to examine what type of SPI can be identified at the national level, how knowledge is brokered in it and how boundary organisations function and are positioned within the network. To do this, we utilise a mixed method approach, combining a survey questionnaire and interviews as data collection methods with social network analysis and qualitative content analysis to examine the national science-policy interface in the environmental domain in Finland. Our results show a centralised network with weak reciprocal links. The network is centred more around knowledge brokers and users than knowledge producers. In this network, knowledge is mainly brokered through media and personal communication, with no single actor group assuming responsibility. The boundary organisation studied here engages in brokering activities and actively creates venues for knowledge brokering. Our findings are in line with previous research, demonstrating the need for further strengthening of not only the structural foundations of the science-policy interface, but also of the actors engaging in knowledge brokering.

Road-MobileSeg: Lightweight and Accurate Road Extraction Model from Remote Sensing Images for Mobile Devices.

Current road extraction models from remote sensing images based on deep learning are computationally demanding and memory-intensive because of their high model complexity, making them impractical for mobile devices. This study aimed to develop a lightweight and accurate road extraction model, called Road-MobileSeg, to address the problem of automatically extracting roads from remote sensing images on mobile devices. The Road-MobileFormer was designed as the backbone structure of Road-MobileSeg. In the Road-MobileFormer, the Coordinate Attention Module was incorporated to encode both channel relationships and long-range dependencies with precise position information for the purpose of enhancing the accuracy of road extraction. Additionally, the Micro Token Pyramid Module was introduced to decrease the number of parameters and computations required by the model, rendering it more lightweight. Moreover, three model structures, namely Road-MobileSeg-Tiny, Road-MobileSeg-Small, and Road-MobileSeg-Base, which share a common foundational structure but differ in the quantity of parameters and computations, were developed. These models varied in complexity and were available for use on mobile devices with different memory capacities and computing power. The experimental results demonstrate that the proposed models outperform the compared typical models in terms of accuracy, lightweight structure, and latency and achieve high accuracy and low latency on mobile devices. This indicates that the models that integrate with the Coordinate Attention Module and the Micro Token Pyramid Module surpass the limitations of current research and are suitable for road extraction from remote sensing images on mobile devices.

In-situ synthesis and performance evaluation of novel color coatings for galvanized steel

Traditional hot-dip galvanized coatings, typically single-silver in color, present increasing aesthetic challenges in diverse applications, while prevailing organic coating methods involve complex processes with high energy consumption and pollution emissions. In this study, a novel hot-dip process for in-situ synthesis of color coating on steel was proposed, capable of producing various uniform color coating. The microstructure of color coatings on steel was systematically examined, and an assessment of their corrosion and weather resistance was conducted. The results demonstrate the sequence of typical color variation is gold, purple, blue, cyan, red, green, and grey. By controlling the immersion temperature range, and regulating the final stable color of the oxide film. The coloration mechanism mainly is attributed to the light interference on the Mn oxide film. The cyan and brown coatings mainly consist of the dense rod-like ζ-FeZn13 phases which provide a structural foundation for corrosion resistance. Furthermore, the brown coating exhibited excellent weather resistance.

Configuration of a gravel-rubber geotechnical seismic isolation system from laboratory and field tests

We present the outcomes derived from controlled laboratory experiments on utilizing gravel rubber mixtures (GRM) as a geotechnical seismic isolation (GSI) stratum beneath the foundational structure of the EuroProteas prototype. The study encompassed three distinct GRM compositions characterized by varying rubber proportions relative to the total mixture weight (0%, 10%, and 30%) employed as the foundation soil. These GSI-structure systems were subjected to external harmonic forces applied atop the structure of EuroProteas across a broad spectrum of frequencies and force magnitudes. Preceding the commencement of field experiments, resonant column and cyclic triaxial compression assessments were conducted on specimens featuring identical rubber fractions and mean grain size ratios. Our laboratory tests revealed that an increase in rubber content resulted in a reduction of the shear modulus (Go) and an augmentation of the damping ratio (Do) while concurrently inducing a more linear character in the G/Go-logγ-D profiles. The findings derived from the laboratory examinations align closely with those ascertained from field investigations. Expressly, it was confirmed that a GSI layer with a thickness of 0.50 meters, composed of a GRM incorporating 30% rubber content, exhibited a discernible reduction in the overall stiffness of the GSI-structure system, accompanied by a corresponding alteration in its fundamental vibrational frequency. The enhanced damping within the system manifested through observable reductions in acceleration recordings and diminished strain development at the base of the GRM layer with 30% rubber content, encompassing a wide range of frequencies.

Switching gears: Evaluating Grid-to-Vehicle (G2V) and battery swap (BS) behaviors in new energy vehicles (NEVs) within a flexible institutional landscape

The transition to electric vehicles is a pivotal step towards achieving emission reductions and realizing the “double carbon” objectives in the transportation sector. This movement is heavily dependent on the development of a strong G2V and BS infrastructure, a task which embodies the motivation behind this study. As such, we seek to decipher the intrinsic challenges and opportunities resident in the G2V and BS systems, constructing vital questions around existing impediments and strategies that would foster a seamless transition to NEVs, integrating global insights and experiences from different nations into our enquiry. In view this, this paper proposes a tripartite institutional logic framework, which serves as a foundational structure encompassing government, automobile manufacturing enterprises, and consumers as pivotal stakeholders within an interconnected ecosystem. Building upon this comprehensive framework, we further advance our analysis by constructing a tripartite evolutionary game model and using a simulation with a case study to analyze the dynamic interplays of G2V and BS systems. The results show that: The BS mode has a higher efficacy in terms of energy efficiency and optimizing electricity usage compared to the G2V model; Proper subsidies for BS are necessary, as supported by simulations and case studies; The government must continue to support enterprise R&D efforts to advance the NEV industry; Increasing investment in infrastructure is essential to address issues related to the layout and compatibility of BS facilities among auto enterprises; Recognizing the positive impact of BS mode on the social and environmental aspects is vital; Accurate identification of consumer needs is crucial for promoting BS mode. Finally, policy recommendations are proposed to promote transportation sector, which provides theoretical support for policy makers.

Structural Insights into the Penicillin-Binding Protein 4 (DacB) from Mycobacterium tuberculosis.

Mycobacterium tuberculosis, a major cause of mortality from a single infectious agent, possesses a remarkable mycobacterial cell envelope. Penicillin-Binding Proteins (PBPs) are a family of bacterial enzymes involved in the biosynthesis of peptidoglycan. PBP4 (DacB) from M. tuberculosis (MtbPBP4) has been known to function as a carboxypeptidase, and the role and significance of carboxypeptidases as targets for anti-tuberculosis drugs or antibiotics have been extensively investigated over the past decade. However, their precise involvement remains incompletely understood. In this study, we employed predictive modeling and analyzed the three-dimensional structure of MtbPBP4. Interestingly, MtbPBP4 displayed a distinct domain structure compared to its homologs. Docking studies with meropenem verified the presence of active site residues conserved in PBPs. These findings establish a structural foundation for comprehending the molecular function of MtbPBP4 and offer a platform for the exploration of novel antibiotics.

Geotechnical seismic isolation based on high-damping polyurethane: centrifuge modelling

Geotechnical seismic isolation (GSI) is a new category of low-damage resilient design methods that are in direct contact with geomaterials and of which the isolation mechanism primarily involves geotechnics. Various materials have been explored for placing around the foundation system in layer form to facilitate the beneficial effects of dynamic soil-foundation-structure interaction, as one of the GSI mechanisms. To reduce the thickness of the GSI foundation layer and to ensure uniformity of its material properties, the use of a thin and homogeneous layer of high-damping polyurethane (HDPU) was investigated in this study via centrifuge modelling. HDPU sheets were installed in three different configurations at the interface between the structural foundation and surrounding soils for realising GSI. It was found that using HDPU for GSI can provide excellent seismic isolation effects in all three configurations. The average rates of structural demand reduction amongst the eight earthquake events ranged from 35 to 80%. A clear correlation between the period-lengthening ratio and the demand reduction percentage can be observed amongst the three GSI configurations. One of the configurations with HDPU around the periphery of the foundation only is particularly suitable for retrofitting existing structures and does not require making changes to the structural systems or architectural features.

Microscopic and nanoscale mechanical properties of tonkin cane bamboo measured by advanced AFM methods

Bamboo is a natural composite material with a high strength-to-weight ratio traditionally used in various consumer products as well as in building and modern advanced and sustainable manufacturing technology. While its macroscopic mechanical properties are well known, nanoscale studies of the mechanical properties of the hierarchical structure of bamboo at the level of individual cells and cell walls are lacking. Here we use different AFM-based methods to analyse the mechanical properties of individual bamboo fibres that are the foundation of the hierarchical structure at the nanoscale. The elastic modulus of the fiber in the outer region varies from 7.5 to 8.9 GPa, while that of the inner fiber ranges between 4.1 and 6.1 GPa. The results demonstrate that the fibre stiffness varies in nanoscale regions between fibre interior and the fibre wall and strongly depends on the position of the individual bamboo fibre within the culm. Outer fibres with high cellulose fibril density and low lignin level show low adhesion interaction force (13.5%) in the interface between cellulose and lignin/hemicellulose matrix, hence, resulting in low plastic deformation energy release during mechanical deformation. The implications of the interrelation of plasticity, lignin level, and adhesion force are discussed for the application of bamboo as a high-performance, renewable, and sustainable material.

Modification method and impact analysis of aerodynamic loads for fixed wind-wave hybrid devices

Aerodynamic load is one of the important loads that must be considered for wind-wave energy hybrid devices. In this study, the effects of blade angle and foundation structure vibration on aerodynamic loads are considered, and the traditional blade element momentum (BEM) is dynamically modified by the method of coordinate matrix transformation and vibration function analysis, starting from the relative inflow angle and the instantaneous wind speed of the wind turbine, and the aerodynamic loads of the wind turbine were simulated by using the improved BEM theory. The correctness of the proposed method in this study is verified by comparing the data of a large number of researchers and the computational results of OpenFast. A simulation study has been carried out using AQWA, combining the modified aerodynamic load of the wind turbine and the hydrodynamic load of the wave energy device, to analyze the variation trend of the base structure response of the wind-wave hybrid device under general and extreme conditions. The results show that the method developed in this paper can provide theoretical reference for the development and stable operation of wind-wave hybrid device.

Purification, structural elucidation and in vitro antitumor activity of a novel polysaccharide from sugarcane leaves

Sugarcane leaves have been extensively consumed as a herbal tea for centuries in China, which is an economically important crop containing multiple health benefits. Here we report the structure and in vitro antitumor activity of a purified sugarcane leaf polysaccharide (SLP70–1). SLP70–1 is a homogeneous heteropolysaccharide made up of mannose, glucose, and galactose with a molar ratio of 1.00: 1.89: 2.83. Additionally, the molecular weight of SLP70–1 was 3.23 kDa. Linkage together with NMR examination demonstrated the structural foundation of SLP70–1 were consisted of →4)-α-D-Galp-(1→, →4)-α-D-Glcp-(1→, →2)-β-D-Manp-(1→, →3)-β-D-Galp-(1→, →4,6)-β-D-Galp-(1→, →6)-α-D-Galp-(1→, →3,6)-α-D-Glcp-(1→ and α-D-Glcp-(1→，and the side chain was confirmed to be →4)-α-D-Glcp-(1→ and →6)-α-D-Galp-(1→. According to an in vitro cell experiment, SLP70–1 could markedly decrease the survival ability of cancer cells exhibiting concentration dependence, including the survival rate of cancer cells in the lungs, colon, cervix, kidney, and breast, implying potent antitumor activity. In summary, SLP70–1 exhibits features that qualify it as a promising antitumor adjuvant candidate.

Structural forming of soil composites using as a pavement subgrade strengthening

The article substantiates the possibility of obtaining composite materials with improved functional properties to strengthen the subgrade, containing technogenic soil stabilized by an additive based on a gelling polymer. The introduction of technogenic soils into composites will not only reduce the consumption of expensive materials, but also solve a complex of acute environmental problems. Composite materials can be used in the construction of structural layers of road pavements, foundations of buildings and structures, sites for various purposes, for the prevention and elimination of defects in the foundations of engineering structures during their construction, reconstruction and repair, including in permafrost areas. Stabilized technogenic soils are more durable, frost-resistant and waterproof, which makes them applicable for creating impervious curtains in hydraulic structures and sealing storage facilities for hazardous substances. The cryogenic effect on a composite material allows one to vary its properties within a wide range and modify its macroporous structure. Studying the process of structure formation of the resulting organic-inorganic materials, consisting of macromolecules of high-molecular substances and inorganic inclusions that have undergone cryogenic treatment, will make it possible to specifically regulate their performance characteristics. The best values of strength characteristics were obtained for samples with a stabilizing additive concentration of 100 g/l. The resulting composite materials are hydrophobic, frost-resistant, characterized by a compressive strength of 2.3–6.5 MPa and a thermal conductivity of 0.19–0.20 W/(m·K). Data from differential scanning calorimetry and thermogravimetry and IR spectroscopy revealed that the binding of mineral particles by a stabilizing additive occurs due to the formation of organomineral complexes with the participation of clay minerals and the restructuring of hydration shells. SEM data indicate that crystallinity zones formed due to hydrogen bonds of hydroxyl groups of neighboring polymer chains can participate in the formation of the composite structure. An increase in the number of cryogenic treatment cycles promotes additional structuring and strengthening of the polymer phase due to the formation of additional nodes of the supramolecular network, ordering of crystallinity zones and the appearance of compacted areas in the structure. Computed X-ray tomography revealed an increase in the density of the composite upon drying, which helps to increase its strength characteristics. The structure of the sample is characterized by heterogeneity of the pore space, which is characterized by the presence of both fine-porous and large-porous regions, which determines its thermophysical properties.