Aggregate Analysis Research Articles

Comparative stability study and aggregate analysis of Bevacizumab marketed formulations using advanced analytical techniques

Bevacizumab (Bvz) is the most preferred recombinant humanized monoclonal antibody in biosimilar development due to its prominence as a standard treatment in the oncology space. Therapeutic monoclonal antibodies are typically more complex and unlikely to produce a replica. As a result, regulatory agencies allow approval of biosimilars that differ structurally and functionally from their reference product, but these differences should not have any clinical significance. To identify these significant discrepancies, it is essential to perform a thorough characterization of critical product attributes both in real-time and after storage until the product's expiration. In the present study, two Bvz biosimilar brands (Bio-1 and Bio-2) marketed in India were evaluated and compared with the reference product Avastin® to assess their degree of similarity. A comprehensive physicochemical characterization of biosimilars and reference product was performed using orthogonal techniques including LC-ESI-QTOF, MALDI-TOF, FTIR-ATR, iCIEF, rCE, nrCE, UV280, and RP-HPLC. Furthermore, Bvz formulations under study were subjected to various stress conditions of thermal (elevated temperature 50 ± 2 °C), chemical (acidic pH 3.0 ± 0.2, neutral pH 7.0 ± 0.2, and basic pH 10.0 ± 0.2), and mechanical (agitation 200 rpm) for comparative stability evaluation. Any alteration in the secondary structure of the native protein was detected and quantified using far-UV circular dichroism (CD), indicating an average of 15% and 11% loss in native antiparallel β-sheet conformation respectively in Bio-1 and Bio-2 upon exposure to elevated temperature and high pH. Additionally, covalent or non-covalent aggregates formed as a function of elevated temperature and agitation were quantified using SEC-MALS.

Somatic mutation effects diffused over microRNA dysregulation.

As an important player in transcriptome regulation, microRNAs may effectively diffuse somatic mutation impacts to broad cellular processes and ultimately manifest disease and dictate prognosis. Previous studies that tried to correlate mutation with gene expression dysregulation neglected to adjust for the disparate multitudes of false positives associated with unequal sample sizes and uneven class balancing scenarios. To properly address this issue, we developed a statistical framework to rigorously assess the extent of mutation impact on microRNAs in relation to a permutation-based null distribution of a matching sample structure. Carrying out the framework in a pan-cancer study, we ascertained 9008 protein-coding genes with statistically significant mutation impacts on miRNAs. Of these, the collective miRNA expression for 83 genes showed significant prognostic power in nine cancer types. For example, in lower-grade glioma, 10 genes' mutations broadly impacted miRNAs, all of which showed prognostic value with the corresponding miRNA expression. Our framework was further validated with functional analysis and augmented with rich features including the ability to analyze miRNA isoforms; aggregative prognostic analysis; advanced annotations such as mutation type, regulator alteration, somatic motif, and disease association; and instructive visualization such as mutation OncoPrint, Ideogram, and interactive mRNA-miRNA network. The data underlying this article are available in MutMix, at http://innovebioinfo.com/Database/TmiEx/MutMix.php.

The effect of the bgs13 mutation on the structure of the reporter protein beta-lactoglobulin: Influence on folding and aggregation in Pichia pastoris

Pichia pastoris, a methylotrophic yeast used for recombinant protein expression, has the capability of performing many eukaryotic post-translational modifications, growing to high cell densities, and producing proteins in a cost-effective manner. However, P. pastoris's secretion properties are not always efficient, and its secretory pathway mechanisms have not been thoroughly elucidated. A previously identified mutant strain, bgs13, was found to efficiently secrete most recombinant proteins tested, raising the possibility that this bgs13 mutant is a universal super secreter. In this study, we used a reporter protein, β-lactoglobulin (b-LG), to perform structural analysis of the protein secreted from wild type and mutant bgs13 strains to investigate the secretory mechanism. Primary, secondary, and tertiary structures of b-LG were examined using Edman sequencing, circular dichroism, tryptophan fluorescence, and temperature induced aggregation analysis. Our results demonstrate that the bgs13 produced more b-LG than the wt strain and that this protein was functionally folded similar to the wt. Surprisingly, we also found that the bgs13 b-LG was more resistant to aggregation, providing another example of the superior qualities of this strain for enhanced secreted protein production.

A generalisation of the aggregate association index (AAI): incorporating a linear transformation of the cells of a 2 × 2 table

The analysis of aggregate, or marginal, data for contingency tables is an increasingly important area of statistics, applied sciences and the social sciences. This is largely due to confidentiality issues arising from the imposition of government and corporate protection and data collection methods. The availability of only aggregate data makes it difficult to draw conclusions about the association between categorical variables at the individual level. For data analysts, this issue is of growing concern, especially for those dealing with the aggregate analysis of a single 2 × 2 table or stratified 2 × 2 tables and lies in the field of ecological inference. As an alternative to ecological inference techniques, one may consider the aggregate association index (AAI) to obtain valuable information about the magnitude and direction of the association between two categorical variables of a single 2 × 2 table or stratified 2 × 2 tables given only the marginal totals. Conventionally, the AAI has been examined by considering p11\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\mathrm{p}}_{11}$$\\end{document}—the proportion of the sample that lies in the (1, 1)th cell of a given 2 × 2 table. However, the AAI can be expanded for other association indices. Therefore, a new generalisation of the original AAI is given here by reformulating and expanding the index so that it incorporates any linear transformation of p11\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\mathrm{p}}_{11}$$\\end{document}. This study shall consider the consistency of the AAI under the transformation by examining four classic association indices, namely the independence ratio, Pearson’s ratio, standardised residual and adjusted standardised residual, although others may be incorporated into this general framework. We will show how these indices can be utilised to examine the strength and direction of association given only the marginal totals. Therefore, this work enhances our understanding of the AAI and establishes its links with common association indices.

Spillover effects of FDI inflows on output growth: An analysis of aggregate and disaggregated FDI inflows of 13 MENA economies

AbstractThis paper examines the effect of foreign direct investment (FDI) inflows on overall growth, as well as its sector‐specific spillovers in the Middle Eastern and North African region during the period from 2000 to 2020. Our major innovation is our ability to disaggregate FDI into primary, secondary and tertiary and examine their individual impact on growth, as well as their sector‐specific spillovers by using dynamic panel GMM methodology. We find prima facie evidence that total FDI significantly stimulates growth. However, when we turn to the disaggregated FDI data, primary sector FDI adversely affects the gross domestic product (GDP) growth in the service sector and overall GDP growth. On the other hand, secondary FDI has a ‘double‐edged’ effect, benefiting its own sector (the service sector's GDP growth), but not other sectors. In contrast, service sector FDI stimulates GDP growth in mining, manufacturing and service sectors, thereby enhancing overall economic growth. Our findings have important policy implications regarding the incentives provided by governments to encourage FDI, which need to be fine‐tuned to attract certain types of FDI (tertiary), with less focus on the primary sector

Fremde Welt: Nur eine Minderheit teilt Deutschlands „Werte“

Abstract Countries in the world need cooperation to solve global problems, and Germany with its strongly outward-oriented economy has a particular interest in world-wide cooperation. The generally accepted human rights seem to provide a solid ground for this, but at a closer look, the area of generally shared values is much smaller. In particular, Germany with its moral concepts is not representative of the world. This applies to several values and consequently can also be seen in aggregated analyses. The number of partners sharing the same values is rare beyond Europe.

Studies on the use of two different magnesia-carbon recyclates as secondary raw material for MgO–C refractories

Two magnesia-carbon (MgO–C) recyclates were investigated with respect to their utilization as raw materials for MgO–C refractories. X-ray diffraction and backscattered electron diffraction were used for phase analysis of the recyclate aggregates. In addition, the gas released from one of the recyclates when it came into contact with water was analyzed in a mass spectrometer. MgO–C samples with different recyclate contents were produced. During coking, the samples showed different behavior depending on the recyclate used. Whereas those containing the first recyclate showed a slight shrinkage, a significant increase in volume was observed in the case of the specimens that contained the second recyclate. The volume increase could be reduced by thermal pretreatment of this recyclate at 380 °C. As a result, better bulk density and porosity values were obtained. However, an even stronger positive effect was achieved by replacing the pitch-based binder used in the binder system with a novolak-based.

Recombinant factor IX Fc for major surgery in hemophilia B: factor IX plasma activity levels and effective hemostasis

BackgroundMajor surgical procedures are associated with significant bleeding risk and infectious complications in patients with hemophilia, which may be minimized by factor replacement. Monitoring perioperative factor levels guides dosing to maintain adequate levels for hemostatic control. ObjectivesWe report prospectively collected post hoc surgical data in patients with hemophilia B who underwent major surgery with extended half-life recombinant factor IX Fc fusion protein (rFIXFc) in phase 3 studies (B-LONG/Kids B-LONG and B-YOND). MethodsAchieved FIX plasma levels were described for those who underwent major surgeries with ≥1 peak and/or predose FIX assessment available on the day of surgery (Day 0 [D0]) from the central laboratory. Dosing, injection frequency, adverse events, and hemostatic responses were assessed. Two representative cases were described further including blood loss, transfusions, and concomitant medication assessment. ResultsOf 35 major surgeries, 17 (N = 16 subjects) with sufficient FIX measurements were included in this analysis; 13 of 17 surgeries were orthopedic. On D0, a median loading (preoperative) dose of 101.1 International Units (IU)/kg/injection achieved a median peak FIX of 103.3 IU/dL. Across postoperative Days 1 to 3, 4 to 6, and 7 to 14, the median predose levels were 75.1 IU/dL with 1 injection/d, 71.6 IU/dL with 0 to 1 injection/d, and 43.2 IU/dL with 0 to 1 injection/d, respectively. Hemostasis was rated excellent (14 of 16) or good (2 of 16) across surgeries. Both case studies (knee arthroscopy and ankle fusion) illustrate measured FIX levels with rFIXFc. ConclusionThe aggregate analysis and representative cases of major surgeries demonstrate that rFIXFc can achieve FIX levels for effective hemostasis during invasive high-risk procedures.

Pure Harrodian dynamics: heterogeneous expectations and the loss of three established propositions

Within the narrow but convenient framework of a pure Harrodian dynamics, the paper sheds new light on the macroeconomic textbook modelling with normal utilization in the steady state and the problem of Harrodian instability. To this end, it introduces interacting heterogeneity in the firms’ expectations about future demand. Specifically, the individual firms switch randomly between an optimistic and a pessimistic growth rate, where in the Harrodian spirit the transition probabilities vary with the utilization gap. Unlike the original aggregate analysis, this agent-based approach gives rise to the following three features at the macro level: (i) while the positive Harrodian feedback effects are basically maintained, there is also some scope for the steady state to be stable; (ii) persistent non-normal utilization in this state is not only possible but even the rule; and (iii) the paradox of thrift is re-established (the opposite relationship is true) if the steady state is stable (unstable). A calibration of the IS part provides for a reasonable order of magnitude of the investigated effects.

The Predictive Validity of Individualised Load-Velocity Relationships for Predicting 1RM: A Systematic Review and Individual Participant Data Meta-analysis.

Load-velocity relationships are commonly used to estimate one-repetition maximums (1RMs). Proponents suggest these estimates can be obtained at high frequencies and assist with manipulating loads according to session-by-session fluctuations. Given their increasing popularity and development of associated technologies, a range of load-velocity approaches have been investigated. This systematic review and individual participant data (IPD) meta-analysis sought to quantify the predictive validity of individualised load-velocity relationships for the purposes of 1RM prediction. In September 2022, a search of MEDLINE, SPORTDiscus, Web of Science and Scopus was conducted for published research, with Google Scholar, CORE and British Ethos also searched for unpublished research. Studies were eligible if they were written in English, and directly compared a measured and predicted 1RM using load-velocity relationships in the squat, bench press, deadlift, clean or snatch. IPD were obtained through requests to primary authors and through digitisation of in-text plots (e.g. Bland-Altman plots). Risk of bias was assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST) and the review conducted in accordance with PRISMA-IPD guidelines and an a priori protocol. Absolute and scaled standard error of the estimates (SEE/SEE%) were calculated for two-stage aggregate analyses, with bootstrapping performed for sampling variances. Estimates were pooled using three-level hierarchical models with robust 95% confidence intervals (CIs). One-stage analyses were conducted with random intercepts to account for systematic differences across studies and prediction residuals calculated in the absolute scale (kg) and as a percentage of the measured 1RM. Moderator analyses were conducted by including a priori defined categorical variables as fixed effects. One hundred and thirty-seven models from 26 studies were included with each identified as having low, unclear or high risk of bias. Twenty studies comprising 434 participants provided sufficient data for meta-analyses, with raw data obtained for 8 (32%) studies. Two-stage analyses identified moderate predictive validity [SEE% 9.8, 95% CI 7.4% to 12.2%, with moderator analyses demonstrating limited differences based on the number of loads (β2Loads:>2Loads = 0.006, 95% CI - 1.6 to 1.6%) or the use of individual or group data to determine 1RM velocity thresholds (βGroup:Individualised = - 0.4, 95% CI - 1.9 to 1.0%)]. One-stage analyses identified that predictions tended to be overestimations (4.5, 95% CI 1.5to 7.4kg), which expressed as a percentage of measured 1RM was equal to 3.7 (95% CI 0.5 to 6.9% 1RM). Moderator analyses were consistent with those conducted for two-stage analyses. Load-velocity relationships tend to overestimate 1RMs irrespective of the modelling approach selected. On the basis of the findings from this review, practitioners should incorporate direct assessment of 1RM wherever possible. However, load-velocity relationships may still prove useful for general monitoring purposes (e.g. assessing trends across a training cycle), by providing high-frequency estimates of 1RM when direct assessment may not be logistically feasible. Given limited differences in predictions across popular load-velocity approaches, it is recommended that practitioners opting to incorporate this practice select the modelling approach that best suits their practical requirements. https://osf.io/agpfm/ .

Network pharmacology of xian-lian-jie-du decoction in ameliorating colorectal cancer

Objective: In this study, we screened for therapeutic targets of the Xian-Lian-Jie-Du decoction (XLJDD) for colorectal cancer (CRC) and explored the underlying mechanisms using network pharmacology techniques. Methods: Genes associated with CRC were collected from the GeneCards database. The names of the active compounds of XLJDD were used as keywords in the “chemical name” in the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database to search the targets. The protein–protein interaction (PPI) network was constructed using Cytoscape 3.8.1. Gene Ontology functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to identify key target proteins. Results: A total of 234 XLJDD-related targets and 250 cross-targets between XLJDD and CRC were collected based on the TCMSP and HIT 2.0 databases. A PPI network constructed based on the STRING database revealed interactions for all 250 proteins. The network results revealed TP53, MYC, CCND1, AKT1, CASP3, and STAT3 as core potential targets. KEGG pathway analysis of the 250 potential XLJDD targets for CRC in the Metascape database was performed using RStudio software. The top 12 gene ratio aggregated analysis results were visualized in bubble charts. The interleukin (IL)-17 signaling pathway had the highest correlation with the tumor necrosis factor (TNF) signaling pathway. Conclusions: XLJDD may be effective in ameliorating CRC by controlling inflammatory factors related to the IL-17 and TNF pathways and targeting proto-oncogenes and tumor suppressor genes, including MYC, CCND1, CTNNB1, and TP53.

A Model to Support Collective Reasoning: Formalization, Analysis and Computational Assessment

In this paper we propose a new model to represent human debates and methods to obtain collective conclusions from them. This model overcomes two drawbacks of existing approaches. First, our model does not assume that participants agree on the structure of the debate. It does this by allowing participants to express their opinion about all aspects of the debate. Second, our model does not assume that participants’ opinions are rational, an assumption that significantly limits current approaches. Instead, we define a weaker notion of rationality that characterises coherent opinions, and we consider different scenarios based on the coherence of individual opinions and the level of consensus. We provide a formal analysis of different opinion aggregation functions that compute a collective decision based on the individual opinions and the debate structure. In particular, we demonstrate that aggregated opinions can be coherent even if there is a lack of consensus and individual opinions are not coherent. We conclude with an empirical evaluation demonstrating that collective opinions can be computed efficiently for real-sized debates.

Spectrophotometric thermodynamic analysis of methylene blue aggregation in water by chemometrics; what comes in the presence of different cyclodextrins?

Spectrophotometry has been utilized to characterize the thermodynamic/dynamic properties of self-aggregation of methylene blue (MB) in water, particularly while interacting with a modulator like different cyclodextrins (α-, β-, hydroxypropyl-β- (HP-β-), and γ-CDs). These systems comprise many interactions that make such chemical systems sophisticated. We developed a mathematical modeling-fitting analysis for the simultaneous quantitative analysis of thermodynamic parameters of chemical reactions, relying on the fitting algorithm. Through analyzing simulated photometric titration data, we demonstrate the simultaneous determination of thermodynamic parameters of the different guest/host interactions. This first has brought the need for the calculation of the visible-light absorption spectrum and the thermodynamic parameters for the pure dimerization system. Therefore, the multiwavelength spectral-mole ratio data of aqueous solutions of MB over a concentration range of 2.5 × 10−5 to 4.5 × 10−5 M while temperature is changing; or being titrated with CDs solutions at various temperatures were collected, augmented, and then have been fed to solid mathematical routines to determine the potential existence of dimeric aggregates. The results of thermodynamics indicated that the positions of the monomer/dimer equilibria do not alter by the presence of α-CD. The apparent dimerization was suppressed upon addition of β- or HP-β-CDs, while the addition of γ-CD enhanced the dimerization.

Validation of the environmental Kuznets curve and role of economic globalization: an aggregate and sectoral analysis of an Indian economy

Validation of the environmental Kuznets curve and role of economic globalization: an aggregate and sectoral analysis of an Indian economy

The green transition of industry – An introduction to IndustryPLAN

The green transition of industry has an essential role in meeting the Paris Agreement targets. Transition strategies should integrate a balance between energy efficiency, electrification, and renewable energy. Focus should be on enabling industry to play an active role in the integration of variable renewable energy sources and the sector-coupling needed for the utilisation of excess heat. Industry in the European Commission's net-zero emission scenarios such as EU 1.5 TECH in “A Clean Planet for all” is based on a top-down methodology with the risks of overinvestments, blind investments, non-concrete general pan-industrial investments, and unrealistic implementation rates. This paper introduces seven guiding principles and a freeware tool, IndustryPLAN, to open the “black box” of industry, quantify such strategies and apply them to EU-27 + UK. The tool enables the user to conduct country-specific, sector-specific or aggregated European analyses of climate mitigation measures by implementing best available technologies, innovative measures and technologies, electrification, shift to hydrogen-based processes, and excess heat utilisation. Also, resilience against fluctuating fuel, electricity and technology prices can be analysed to illuminate geopolitical or supply chain issues. The combination of the guiding principles methodology and the IndustryPLAN tool identifies at least 30% short-term feasible final energy demand savings and possible full decarbonisation with a 100% renewable energy supply for industry.

Interacting Effects of Land Use Type, Soil Attributes, and Environmental Factors on Aggregate Stability

Soil erosion and surface pollution near reservoirs can adversely affect water quality and safety. Soil aggregate stability is an important predictor of soil water loss and erosion resistance that is strongly influenced by land use. This study therefore aimed to identify factors affecting soil aggregate stability near reservoirs to provide empirical and theoretical insights that could guide the development of management measures to increase land quality, optimize land use, and maximize sustainability. This study focuses on the land around the Shitoukoumen Reservoir in China and examines the effects of six land use types, eleven soil physicochemical properties, and five environmental factors. Ninety-four sets of soil samples were collected in 2021 for analysis of soil aggregates and properties. Particle size classification of soil aggregates was carried out using the wet sieve method and four indicators were calculated to evaluate the effects of land use, soil physicochemical properties, and environmental factors on soil aggregate stability: water stable aggregates (WSA), mean weight diameter (MWD), geometric mean diameter (GMD), and fractal dimension (D). Descriptive statistics and geostatistics were used to explore the spatial distributions of soil aggregate stability around the reservoir and the influence of soil properties was studied using correlation analysis and path analysis. The conclusion indicates that land use type significantly affects aggregate stability. The most stable aggregates were found in paddy fields (WSA = 0.77, MWD = 0.76, GMD = 0.57) and forests (WSA = 0.75, MWD = 0.76, GMD = 0.55), followed by an orchard, irrigated land, and grassland. Aggregate stability was worst in upland sites (WSA = 0.61, D = 2.28), where soil aggregates were highly fragmented. There were clear spatial correlations between all four stability indicators. The environmental factors and soil physicochemical characteristics with the strongest influence on aggregate stability were soil organic matter, pH, soil clay content, total nitrogen, and temperature changes. Path analysis revealed that some soil properties affect aggregate stability indirectly, with particularly complex relationships between clay, soil organic matter, and pH. In conclusion, land use type, soil organic matter, pH, soil clay content, total nitrogen, these soil physicochemical properties, and environmental factors, especially temperature, significantly affect soil aggregate stability around reservoirs. In the future, it is necessary to appropriately change upland into paddy land, increase forest land, and appropriately add organic fertilizer to improve soil quality.

3D Reconstruction and morphology analysis of coarse aggregate using optical laser triangulation and image processing technology

Digital image processing is commonly used in civil engineering to measure aggregate morphologies. However, it has limitations due to laying style and acquisition method, restricting analysis to two-dimensional geometric features. To overcome this, a new laser scanning-based method is proposed to reconstruct three-dimensional features of coarse aggregates. Three-dimensional morphology indexes are developed, with promising results. This method effectively captures complete surface information and the ratios between axes, surface area rate, and volume rate describe shape, texture, and angularity well. The proposed methodology accurately characterizes coarse aggregate morphologies, aiding asphalt mixture design. Incorporating the developed indexes enables effective quality control of asphalt pavements.

Application of Computer Big Data Modeling Based on Lagrangian Mathematical Equation in the Village Cultural Industry Model

Abstract To understand the Lagrangian mathematical equation, the author proposes an application study of big data modeling in the village cultural industry model. The author takes 20 traditional villages in Beijing as the object, and through crawling relevant Internet cultural and tourism big data, using the theory of tourism consumer behavior, from the aspects of consumer motivation behavior, food, housing, shopping, and other experience behavior, consumer evaluation behavior, and consumer space-time behavior, carry out targeted content analysis, aggregation analysis, etc, fully reveal the behavioral portrait of tourists in Beijing’s traditional villages. The results show that the overall tourism experience of Beijing’s traditional villages is good, but the development level is quite different, the cultural and tourism supply pattern of “some have boutiques, some have highlights, and the overall influence is weak” is presented to improve the overall level. At the same time, the computer big data based on tourists’ feedback can reasonably reveal the inherent characteristics and problems of traditional village tourism, which is innovative in the current situation where village tourism data is difficult to obtain.

Environmental and socio-economic aspects of sustainable development in Kyzylorda Region

In this article the ecological-socio-economic aspects of sustainable development of Kyzylorda region are investigated. In the author’s work scientific aspects to the study of sustainable development of the region, the urgency of which is due to the need for greening the economy and adopted by the UN Sustainable Development Goals for 2016-2030 years are argued. In this regard, the source determining the basis of a broad assessment, was the general use of methods of inter-regional and inter-sectoral comparisons. Background information of the study is formed by the data of the official statistical reporting. The objectives of the study are aimed at approbation of a general assessment, through which it is possible to identify not only the level, but also its socio-environmental and economic balance. The article argues the composition of the fundamental indicators for the principal components of sustainable development: economic, environmental and social. The paper outlines the trajectory of sustainable development of Kyzylorda region, conducted with the help of a matrix of aggregate analysis, which combines studies of the level of development of the region with assessments of the degree of socio-environmental-economic balance. The study made it possible to identify the main problems of the region and steadily manifesting dynamic socio-environmental-economic discrepancies, which will require rational and effective interventions from the state authorities.

Dielectric characterisation of rock aggregates with different grain size distributions

Aggregates largely influence a road's dielectric properties, which is an important physical parameter when using non-destructive methods such as ground penetrating radar to evaluate a road's geometry. Due to the irregular shapes, the direct measurement of an aggregate piece by piece in the microwave domain is not easy. To address this problem, an epoxy-based composite is used to estimate the dielectric constant of the aggregates by resonant test and mixing law calculation. As a water-free binder, the epoxy composite eliminates the water effect on the dielectric properties. Meanwhile, the distribution of each component can be studied by X-ray computed tomography, which allows knowing the composite's morphology. Moreover, the composite has a smooth surface that avoids the texture effects on the dielectric measurement. In addition, the impedance analysis of individual aggregates at low frequencies was used to evaluate the results obtained with composites and mixing laws.