Analogy Method Research Articles

A digital duplicating obturator with 3D printing technology

Obturators are vital for restoring function and appearance in patients with maxillofacial defects, though traditional fabrication involves multiple clinical visits and extended production time. This technique report details a digital approach using computer-aided design/manufacturing (CAD/CAM) and 3D printing to duplicate an obturator for a 74-year-old patient with maxillary bone necrosis. By using a chairside intraoral scanner, we obtained a digital model of the existing obturator, avoiding traditional impression-taking and reducing procedural discomfort. A 3D-printed obturator was fabricated, adjusted with a tissue conditioner, and refined to ensure optimal fit. Laboratory processes included using specialized materials and retention techniques. The digital workflow minimized patient visits and improved comfort, underscoring CAD/CAM and 3D printing's potential to enhance clinical efficiency and quality of life for patients requiring complex prosthetic rehabilitation. This approach highlights the practical benefits of integrating digital and analog methods in maxillofacial prosthetics. (Int J Maxillofac Prosthetics 2024;7:16-19)

The Role of Digital Marketing Technologies in Enhancing Business Process Management

In the many stages of the digital revolution's progress, digitalisation has strong foundations and significant turning points. The word "digit" was derived etymologically from the Latin phrase "digitalis." The practice of counting with fingers and toes numbers lower than ten was commonly referred to by this phrase in the middle of the fifteenth century. Going forward to the 1650's numerical meaning, data processing on computers began in 1938, replacing analogue methods. 1945 marked yet another turning point in the rapid processing of evolutionary changes, before the 1960s saw the emergence of extensive data collection and broadcasting of events. Marketing operates through an integrated method that combines the arts and sciences. The arts create demand, while the sciences assess market potential and the company's ability to meet that need. It is harder to market services than it is to sell items. The field of digital marketing has grown more dynamic and complex. Technology is constantly requiring exceptional upgrades due to its rapid changes, diversified applications, version modifications, and advanced generations. A company's ability and desire to adapt to the evolving form, function, and structure of digital technology is a prerequisite for any stable reliance on it.

STRUCTURE-ACTIVITY RELATIONSHIP OF PSYCHOACTIVE CANNABINOIDS: A CHEMOMETRIC EXPERIMENT FOR UNDERGRADUATE AND POSTGRADUATE STUDENTS IN CHEMICAL EDUCATION

Undergraduate and postgraduate Chemistry Education students had to develop the experiment in four (4) stages. Twenty-two (22) cannabinoids (Δ9-THC and derivatives) with different degrees of psychoactivity, previously scrutinized by our research group with the approaches: molecular electrostatic potential (MEP) and interaction with the CB1 receptor (CARDOSO-FILHO et al., 2004), are investigated through Chemometrics. Exploratory Analysis: Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA). E Classification Methods: K-Nearest Neighbor (KNN) method, Soft Independent Modeling Class Analogy (SIMCA) method, and Stepwise Discriminant Analysis (SDA) were employed to reduce the dimensionality of the data matrix and investigate which descriptors are responsible for the classification between the most active cannabinoids (mac), pKi ≥ 6.72, and the least active cannabinoids (lac), pKi < 6.72, according to the hypothesis previously reported (Cardoso-Filho et al., 2024). The investigation with PCA, HCA, KNN, SIMCA, and SDA showed that the descriptors LUMO+1 energy, Geary autocorrelation of lag 6 weighted by van der Waals volumes (GATS6V), hydration energy (EH), atomic charge on the atom of C4 (qC4), and molecular representation of structure based on the electron diffraction, code of signal 3, unweighted (MOR03u) are responsible for separating cannabinoids according to their degrees of psychoactivity. The insights accumulated and the models built in the research – PCA chemometric model, HCA chemometric model, KNN chemometric model, SIMCA chemometric model, and SDA chemometric model – will be able to support the design of new potentially psychoactive Δ9-THC derivatives.

Nonlinear Dynamic Analysis Using the Force Analogy Method and the Ibarra–Medina–Krawinkler Model

ABSTRACTA methodology to integrate the Ibarra–Medina–Krawinkler (IMK) hysteretic model with the force analogy method (FAM) is proposed. FAM is a powerful tool for performing nonlinear structural analysis that reduces analysis time, addressing the main limitation of nonlinear analysis. One area of opportunity for FAM lies in its access to material nonlinearity models, which enable the reproduction of inelastic behavior in structures. The IMK model, utilized in nonlinear analysis for updating the stiffness matrix, incorporates various rules of material nonlinear behavior and considers cyclic deterioration of stiffness and strength. By combining the IMK model with FAM, the capability to model material nonlinear behavior in a computationally efficient manner is enhanced. The proposed methodology is validated through four numerical examples, demonstrating its effectiveness in replicating experimental behaviors and enhancing FAM capabilities in inelastic structural analysis.

Influence of Prebiotic Immunobeta and the Combination Immunobeta + Zoovit Probiotic on Blood Biochemical Parameters in Ile-de-France Lambs

The aim of the present study was to determine the effect of the addition of prebiotic Immunobeta and probiotic Zoovit on the biochemical parameters of blood in Ile-de-France lambs. The research was carried out at the Agricultural Institute - Stara Zagora. It includes a total of 45 Ile de France lambs, divided into three groups of 15 - one control and two experimental. The groups were formed by the method of analogues, equalized by live weight at the beginning of the experiment, type of birth and sex. The animals of the I experimental group received 8 g of the prebiotic Immunobeta individually once a day, and those of the II experimental group the same amount of prebiotic with the addition of 4 g of the Zoovit probiotic. Blood for the study of 8 animals from each group was taken at the beginning and at the end of the experiment. In the indicators of albumin, urea, glucose, cholesterol, creatinine and bilirubin, significant differences were reported after the addition of the prebiotic Immunobeta compared to those at the beginning of the trial. A significant decrease in albumin (P

A generalized method of power oscillation characteristic analysis for multi‐VSC grid‐connected system

AbstractThe grid‐connection of high‐permeability new energy through voltage‐source converters (VSCs) brings new oscillation risks to the power system, which seriously threatens the stable operation of the system. Therefore, an evaluating method based on modal analysis is proposed to investigate the power oscillation characteristics in a multi‐VSC grid‐connected system. Initially, based on the analogy method, the output admittance model of voltage‐source controlled VSCs (VC‐VSCs) and current‐source controlled VSCs (CC‐VSCs) is established. Subsequently, the output admittance model of a multi‐VSC grid‐connected system is constructed. Then, the modal analysis method is introduced to investigate the power oscillation characteristics of VC‐VSCs and CC‐VSCs, and the influence factors of power oscillation and its variation law are analysed. Next, a sensitivity analysis is also employed, which helps to identify the origin of each oscillation mode and determine the contribution of each component to the power oscillation. Finally, simulation and experiment are carried out to verify the effectiveness of the above analysis method.

Characterisation and synchronisation of a netted software defined radio radar

AbstractThe present work intends to characterise the combination of two netted software defined radios (SDR) and different radio frequency (RF) front‐ends installed in them, together with a two‐stratum time dissemination and synchronisation system. A modified implementation of the Network Time Protocol is used as coarse event synchronisation for either SDR back‐end. The White rabbit light embedded node implementation of the commonly known white rabbit synchronisation system (IEEE 1588 PTP‐2019) or arbitrary wave form generators are used as fine time dissemination system for either SDR. The resulting netted transceiver system is intended to compose a demonstrator for proof‐of‐concept experiments. The findings presented in this article show that the chosen combination of hardware and software is suitable for radar applications operating within L‐, S‐ and C‐bands. A channel coherency throughout the network with a relative modified Allan deviation of less than 80 fs for averaging intervals of 1 s, a phase noise better than −118 dBc/Hz at 10 Hz frequency offset and a fractional frequency lower than was measured. Within a single transceiver node, a fractional frequency lower than and phase noise of −124 dBc/Hz at 10 Hz frequency offset were measured as well. Multistatic radar systems exploit wide spatial diversity to enhance target detection and tracking, albeit with increased complexity when compared to a monostatic configuration. To exploit these benefits, all participating transceiver nodes within the netted radar need to synchronise to a common time base . The achieved synchronisation level increases the accuracy with which the chain of timed events at the transmitter and at the receiver side occur, intending to maximise the signal‐to‐noise ratio available at the receiver. The Universal software radio peripheral model X310 with two different daughterboard models as RF front‐end was used as SDR on either radar node. A network combining data and synchronisation purposes allowed the radar nodes under test to operate synchronously. The two‐stratum synchronisation system used glass fibres between 2 m and 5 km of length or coaxial cables with 2 m in length for network traffic, time and frequency dissemination purposes. The multiple RF front‐ends were stimulated by means of arbitrary waveform generators with calibrated traceability. Up‐chirp and sinusoid waveforms were used as stimuli for measuring the offset of either channel with regards of to ultimately estimate the achievable coherency limits of the system under test. Both analogue and digital evaluation methods were considered.

Adaptive Free-Form Deformation Parameterization Based on Spring Analogy Method for Aerodynamic Shape Optimization

An adaptive Free-Form Deformation parameterization method based on a spring analogy is presented for aerodynamic shape optimization problems. The proposed method effectively incorporates the gradients of the objective and constraint functions, achieving automatic control point adjustment based on variances in design variable components. To evaluate the performance of the adaptive FFD parameterization method, two 2D airfoil optimization design problems are examined. The optimization of the RAE2822 airfoil with 12, 18 and 24 design variables demonstrates superior results for the adaptive method compared to uniform parameterization. The adaptive method requires fewer iterations and achieves lower objective function values. Additionally, the optimization design from NACA0012 to RAE2822 airfoil with 18 design variables shows that the adaptive parameterization method achieves a lower drag coefficient while satisfying the optimization objective. This validates the method’s capability to finely adjust airfoil shapes and capture more optimal design points by exerting stronger control over local shapes. The proposed adaptive FFD parameterization method proves highly effective for optimizing aerodynamic shapes, offering stability and efficiency in the early stages of optimization, even with a limited number of design variables.

Integrated risk analysis for urban flooding under changing climates

Urban flooding poses significant threats to human lives and urban development worldwide, while the impact of climate change on urban flooding remains unclear. To systematically analyze the variabilities of hydrological patterns and urban flooding under changing climates, this study coupled the downscaled general circulation model (GCM) projection with hydrologic-hydraulic modeling, with consideration of both the low-greenhouse gas (GHG) emission scenario of SSP1–2.6 and the high-GHG emission scenario of SSP5–8.5. Results demonstrated that the original GCM projection effectively captured the changing trend of rainfall patterns in the given area, with an overestimation of rainfall peaks. The GCM downscaling through the k-nearest neighbors (kNN)-based analog method significantly improved the model accuracy. Scenario analysis indicated that climate change significantly affected the regional hydrology, with the precipitation, surface runoff, and floods increasing by a maximum value of 17.10%, 12.66%, and 63.26%, respectively. The interannual comparison demonstrated that the temporal variability in precipitation and flood intensified with the increase in GHG emissions during 2025–2100, suggesting the uncertainty of long-term climate forecasts. According to flood risk analysis, long-term and short-term floods exhibit varied changing trends across climate scenarios, despite the strong correlations between precipitation and runoff, implying the complexity of flood generation mechanisms. The methods and findings herein provide valuable insights for policymakers and practitioners, to cope with the increasing urban flood risk within the context of evolving environment.

The Role of Complementary Currencies in Enhancing Social and Economic Welfare: The Case of Afghanistan

Complementary currencies are alternative units of exchange designed to complement official currencies. They have been used in both developed and developing countries to bridge societal and economic gaps that are inadequately addressed by official monetary systems. This paper explores the potential for Afghanistan to implement complementary currencies and the challenges it may face in this process. A qualitative research approach is employed, using analogical methods and content analysis to assess the potential advantages that complementary currencies could offer Afghanistan. The findings suggest that complementary currencies could significantly contribute to Afghanistan’s economic and social welfare, particularly in addressing gaps in resource distribution. The paper emphasizes critical success factors for the introduction of complementary currencies in Afghanistan, notably the need for political will, government support, legal frameworks, public awareness, and international cooperation. This study is the first to address the potential for complementary currencies in Afghanistan, highlighting its importance and forecasting its contribution to enhancing the financial system in the country.

Practice of disclosure of information on fair value of financial instruments in financial statements

A number of Russian healthcare organizations, as well as many domestic organizations in other areas of activity, prepare financial statements in accordance with IFRSs. In order to prepare such statements, it is necessary, in particular, to disclose information on the fair value of financial instruments. Such disclosure is also provided for by many other accounting standards. It is assumed that fair value will be actively used for accounting of financial instruments in the future Russian FAS “Financial Instruments”. These instruments, in turn, are significant accounting objects for many organizations in both healthcare and other areas of activity (both domestic and foreign). Thus, high-quality disclosure of information on the fair value of financial instruments in financial statements is relevant for a significant number of modern economic entities. The analysis of this disclosure is carried out in this paper. In carrying out the research, such methods as analysis and synthesis, grouping method, comparison, analogy method, logical approach, systems approach were used. The results obtained in this paper will be useful to a wide range of readers interested in various problems of modern accounting and reporting, including improving the quality of reporting information. The provisions substantiated in this article can be applied in the educational process of higher educational institutions, as well as in the practical work of accounting departments of modern organizations, both in healthcare and other areas of activity.

Elastic–plastic solutions of reserved deformation for soft rock circular tunnel under high stress

The determination of reserved deformation is typically based on referring to relevant codes or the engineering analogy method, lacking a certain theoretical approach. The purpose of this study is to provide a theoretical basis for determining reserved deformation and to analyze the variation law of the surrounding rock affected by reserved deformation. Considering the reserved deformation under the condition of asymmetric load, the expression of optimal reserved deformation, the expression of support resistance reflecting the strength of surrounding rock, the strength of support material and the magnitude of in situ stress, the displacement expression of surrounding rock are derived by approximate solution based on the classical elastic–plastic theory. Numerical simulation software is used to simulate the displacement expression of the surrounding rock considering the reserved deformation and the expression of the optimum reserved deformation under the condition of asymmetric load. The results of the numerical simulation were compared with those of the analytical solutions, and the analytical results show that the errors between the two are within 12% and that the consistency is good.

FAMILY-ORIENTED PHYSICAL THERAPY PROGRAM FOR CHILDREN WITH AUTISM SPECTRUM DISORDERS

Family-centered physical therapy programs for children with autism involve the child, family members, and professionals working together. They aim to provide support, education, and resources that enable the family to understand and cope with the special needs associated with the rehabilitation of a child with autism. By involving the entire family in the therapy process, such programs help improve communication, enhance the quality of life for the entire family, help the child develop skills to participate in various activities with peers, strengthen family ties and provide a more holistic approach to child care. Aim. To substantiate the structure and program of family-oriented physical therapy for preschool children with autism spectrum disorders (ASD). Materials and methods. Analysis of literature sources, including clinical guidelines and recommendations, as well as scientific research on the rehabilitation of patients with autism spectrum disorders; systematic analysis and synthesis, methods of analogy, abstraction and generalization. The experience of rehabilitation and physical therapy of children with ASD, gained by the NGO Agape, which is engaged in the rehabilitation and habilitation of children with disabilities in Khmelnytskyi, was also taken into account. Results. A child's atypical development and disabilities affect the entire family. Caregivers and family members may develop feelings of vulnerability and guilt, or they may feel unable to care for their child. In addition, the patient-centered and biopsychosocial approach assumes that decisions about therapy are made by caregivers, as they are the best experts on their needs and abilities. There has also been a shift in emphasis from impairment of body structures and functions to the child's participation in family life and activities with the family, as well as from what the child cannot do to what the child can do. Supporting the child and family through this complex process of rehabilitation and physical therapy with this in mind, and recognizing the family's interests and values, is crucial and helps families feel stronger and more confident as they face daily challenges. Family-centered physical therapy takes all of these approaches into account. Family-centered physical therapy is a set of activities aimed at involving the family and the family environment in the child's physical therapy process to provide support, necessary skills and resources to both the patient and the family at each stage of therapy, ensuring the best possible results. All phases of physical therapy involve the child and family members in the evaluation, goal and objective setting, education, implementation of the planned intervention program, counseling and monitoring, and adjustment of the goal, objectives and physical therapy program. Conclusions. Family-centered service programs encourage therapists to move from focusing on an isolated impairment and the needs of the child alone to understanding disability within the social model of services and the context of the family and community. A family-centered physical therapy program for children with ASD involves close collaboration between physical therapists, the child, and parents and other family members. This ensures an individualized approach to therapy, increased effectiveness of the sessions, and improved quality of life for the child and the entire family. Active involvement of parents and providing them with the knowledge and skills to conduct sessions at home helps to achieve sustainable results in the child's development and strengthens family ties, increasing the overall level of satisfaction.

Deep Analogical Generative Design and Evaluation: Integration of Stable Diffusion and LoRA

Abstract The rapid evolution of generative design through artificial intelligence has opened new avenues for innovative product styling. Integrating this efficient generative technology with established professional theories presents a novel challenge in contemporary international design research. In response to this challenge, this paper introduces a pioneering and collaborative approach for the swift generation of automobile styling designs. The primary objective is to investigate an intelligent generation method that incorporates analogical reasoning and Stable Diffusion to support industrial designers in innovating product styling. This study scrutinizes traditional analogical reasoning design alongside the intelligent analogical reasoning design proposed herein, elucidating the distinctions through multidimensional comparisons using illustrative examples. The proposed methodological framework encompasses several key steps. Initially, a dataset comprising branded automobile images is meticulously constructed. Subsequently, an exclusive style model is trained leveraging Stable Diffusion techniques, coupled with advanced computer graphics and machine learning methodologies. Following this, design requirements are inputted, facilitating intelligent analogical reasoning design across multiple spatial dimensions to yield diverse and innovative automobile styling solutions. Finally, eye-tracking experiments are conducted to quantitatively compare the traditional analogical reasoning design approach with the Stable Diffusion-based analogical reasoning design method. The results substantiate that the latter effectively generates innovative and diversified automobile design solutions. This research contributes to enhancing the quality of automobile styling design, optimizing the design efficiency of enterprises, and catalyzing innovation in the automobile styling design process.

The efect of phytometabiotic "Phytolysat Gastro" on parameters gomeostaza and changes in the populations of the microfora of the large intestine of calves with gastrointestinal disease syndrome

Among the diseases of young cattle, the most common are lesions of the gastrointestinal tract. Most often they are manifested by diarrhea, which leads to dehydration of the body and severe metabolic disorders. Often sick calves lose a lot of weight, and then lag behind in growth compared to healthy animals, cases of death are not uncommon. With such diseases, the microflora inhabiting the digestive tract is subject to great changes. At the same time, it is populated by pathogenic species whose vital activity complicates the course of the disease. We have studied the therapeutic effect of the use of phytometabiotic drug “Phytolizat Gastro” in gastrointestinal diseases in calves. For the study, experimental and control groups of black-and-white calves aged 10-14 days were formed by the method of analogues. All the calves studied had a clinical sign of gastrointestinal tract damage - diarrhea. According to the results of the study, the effect of the drug on the body was established. Blood counts vary in intervals close to the average values of norms. According to the results of the study, the recovery of calves of the experimental group in a shorter time, greater preservation of body weight during recovery and further increase in calves of the experimental group (by 85 g) compared to calves of the control group was established. Microbiota studies have shown that the amount of Lactobacillus spp. the calves of the experimental group decreased by 8.5% less compared to the control group, and the amount of Bifidobacterium spp. the calves of the experimental group increased by 48%. At the same time, the total number of lacto- and bifidobacteria prevails in calves of the experimental group, which indicates a positive effect of the studied drug on the microflora of the gastrointestinal tract of calves.

RASCAL v1.0: an open-source tool for climatological time series reconstruction and extension

Abstract. The reduction of in situ observations over the last few decades poses a potential risk of losing important information in regions where local effects dominate the climatology. Reanalyses face challenges in representing climatologies with highly localized effects, especially in regions with complex orography. Empirical downscaling methods offer a cost-effective and easier-to-implement alternative to dynamic downscaling methods and can partially overcome the aforementioned limitations of reanalyses by taking into account the local effects through statistical relationships. This article introduces RASCAL (Reconstruction by AnalogS of ClimatologicAL time series), an open-source Python tool designed to extend time series and fill gaps in observational climate data, especially in regions with limited long-term data and significant local effects, such as mountainous areas. Employing an object-oriented programming style, RASCAL's methodology effectively links large-scale circulation patterns with local atmospheric features using the analog method in combination with principal component analysis (PCA). The package contains routines for preprocessing observations and reanalysis data, generating reconstructions using various methods, and evaluating the reconstruction's performance in reproducing the time series of observations, statistical properties, and relevant climatic indices. Its high modularity and flexibility allow fast and reproducible downscaling. The evaluations carried out in central Spain, in mountainous and urbanized areas, demonstrate that RASCAL performs better than the ERA20C and ERA20CM reanalysis, as expected, in terms of R2, standard deviation, and bias. When analyzing reconstructions against observations, RASCAL generates series with statistical properties, such as seasonality and daily distributions, that closely resemble observations. This confirms the potential of this method for conducting robust climate research. The adaptability of RASCAL to diverse scientific objectives is also highlighted. However, as with any other method based on empirical training, this method requires the availability of sufficiently long-term data series. Furthermore, it is susceptible to disruption caused by changes in land use or urbanization processes that might compromise the homogeneity of the training data. Despite these limitations, RASCAL's positive outcomes offer opportunities for comprehensive climate variability analyses and potential applications in downscaling short-term forecasts, seasonal predictions, and climate change scenarios. The Python code and the Jupyter Notebook for the reconstruction validation are publicly available as an open project.

Computational Models of Dynamic Load Sources for Modeling of Construction Structures Operation Used in Monitoring of Technical Condition of Buildings and Structures

This research aims to develop principles for assessing the impact of mega-cyclic vibrodynamic loads on the reliability of construction structures. The relevance of the reasons for the development and improvement of algorithms for numerical modeling of multicycle dynamic loads on building structures is due to the steadily increasing intensity of such loads on buildings and structures in megacities, as well as the acute practical problem of significant differences in the dynamic characteristics of buildings and structures obtained as a result of mathematical modeling and determined by experimental methods. The article presents research materials on computational equivalent models of dynamic load sources for numerical modeling of the behavior of construction structures under their influence, using the method of vibroacoustic analogies. The article examines models of sources of dynamic impact on construction sites. Algorithms and final formulas for computational modeling of the simplest sources of dynamic load are developed using the method of vibroacoustic analogies. The dynamic properties of the simplest dynamic load sources were analyzed. A significant difference between the computational models of real and ideal dynamic load sources. The article presents research and development results intended for calculating the distribution of dynamic loads on elements of construction structures in industrial and civil engineering projects located in areas with high levels of transport vibrodynamic impacts. An important property of the proposed computational equivalent models of sources of dynamic impact on building structures is the possibility of computational verification of critical elements, points, or nodes of load-bearing structures of buildings and structures under dynamic overloads. The position of these critical elements, points, and nodes of load-bearing structures under dynamic loads can differ significantly from their position determined using static and quasistatic computational modeling methods.

Challenges and Perspectives of the Startup Ecosystem for the Development of Innovative Economy in Georgia

The processes of introduction of technology and innovation ecosystem in the economic development of the country have attracted special attention in the global world in the conditions of pandemic and post-pandemic. Accordingly, the research focuses on the formation and development models of modern start-up ecosystems, processes and determinants that ensure their transformation into innovations and the transfer of resources for economic development in the regions. The aim of the paper is to determine the main directions that will contribute to the development of startup ecosystems, taking into account global trends and state-specific practices; The research is based on the methods of grouping, comparison, analogy, analysis, generalization and systemic-structural approaches. As a result of the research, startup ecosystems were defined as an institutional mechanism that is open to the expansion of intersectoral networks and changes the competitive market environment in favor of the architecture of a stable innovative economy. The examples of Estonia, Spain, and Britain show the potential of developing a national startup ecosystem model that prioritizes long-term development, state technical self-sufficiency, and the ability to expand to new markets. Keywords: innovative economy, ecosystems, technoparks, startups, innovations, R&D, economic development

Surprisingly tight Courant–Friedrichs–Lewy condition in explicit high-order Arakawa schemes

The Arakawa scheme, which exactly conserves energy and enstrophy in two-dimensional hydrodynamics, severely reduces the maximum allowable stable time step compared to the Courant–Friedrichs–Lewy condition when combined with a spectral or spectral-like high-order discretization. We calculate the time step restriction by finding the responsible high frequency eigenfunctions and suggest a remedy. The phenomenon has relevance for analogous methods conserving multiple quadratic invariants in gyrokinetic or magnetohydrodynamic simulations.

Cross-scale study of heat transfer performance in metal rubber with complex topological structures

Metal Rubber (MR), characterized by its porous topology and metal-based entangled structure, is commonly utilized in high-temperature environments. The intricate nature of MR's structure complicates the accurate experimental investigation of its thermophysical properties, thereby restricting its broader applications. Therefore, based on numerical simulation, the three-dimensional reconstruction of the spatial topology of MR is achieved. Additionally, MATLAB-LS/DYNA-ABAQUS is coupled to replicate the heat transfer process of MR at macro-microscopic scales. Our findings elucidate the relationship between MR's density, number of contact points, and thermal conductivity, revealing a stepwise decrease in thermal conductivity along the forming direction and a spatially varying anisotropic heat transfer mechanism that involves energy feedback on non-forming surfaces. Specifically, at the material level of investigation, a molecular dynamics model for heat transfer in microscopic metal wire contacts was generated. This model enables the simulation and dynamic tracking of atomic group thermal behavior under temperature effects. Finally, equivalent thermal conductivity (ETC) tests were conducted concurrently. By integrating the thermoelectric analogy method, we introduced for the first time a hybrid series-parallel mode and the tortuosity of discontinuous materials. This approach comprehensively considers critical factors such as porosity, temperature, and interlayer thermal resistance, culminating in the development of a predictive numerical model for thermal conductivity in porous metal-based materials. In this study, a bottom-up multiscale research approach is proposed to deeply explore the spatially multidirectional heat transfer mechanisms of microporous metal-based tangled materials, from the material level to the complex topological structural level. Simultaneously, new dimensions are opened for the study of such materials with unique discontinuous structural characteristics.