Real Volume Research Articles

Die Effekte einer Lohnnebenkostensenkung für die Volkswirtschaft und die Wettbewerbsfähigkeit

Abstract The tax and social contribution ratio in Austria is very high by European standards, taxes on income in particular. This is reflected in a very wide tax wedge between labour costs and net income. The particularly high inflation in Austria in recent years has led to high wage increases and a loss of competitiveness. Based on a model analysis, it is shown that a reduction of taxes on the wage-sum by 1.4 % of GDP dampens the development of wage costs and increases employment by around 0.9 % or 40,000 persons. In addition, the reform reduces the GDP deflator by 0.9 to 0.7 percentage points and implies an increase in the real export volume by 1.4 % in the first three years.

Analysis of 11B + 13,14C scattering and 13C(11B, 10B)14C reaction data at E lab(11B) = 45 MeV using energy dependent optical model systematics for carbon isotopes

Existing data for 11B + 13,14C elastic and inelastic scattering at E lab(11B) = 45 MeV, as well as new data for the 13C(11B, 10B)14C reaction for transitions populating the ground state of 14C and the ground plus first four excited states of 10B, were analysed using the coupled-channels (CC) and coupled-reaction-channels (CRC) methods. A recently proposed energy dependent optical model (OM) potential for carbon isotopes, consisting of Woods-Saxon (WS) volume real and WS volume plus surface imaginary components, applied successfully to OM analyses of scattering from mid-mass (A > 27) and heavy target nuclei, was used to generate the distorted waves in the entrance and exit channels. The data analysed in this work cover the whole angular range, enabling the most important reaction mechanisms leading to the production of nuclei in the exit reaction channels to be established. For these light boron + carbon systems, a reasonable fit to both scattering and reaction data over the full angular range required some modification of the parameters of the OM potential extracted from the energy-dependent carbon systematics: omission of the surface imaginary part and a slight increase in the radius of the real part. Inclusion of a sufficient number of inelastic channels in a CC analysis of the 11B + 13,14C elastic scattering was shown to be important at mid-range scattering angles, while for the 13C(11B, 10B)14C reaction inclusion of two-step neutron transfers via low-lying excited states of 11B was required to give good overall agreement between the CRC calculations and the data. We suggest the analytical form of the global carbon OM potential may benefit from an additional parameterization of the radius of the real part and the depth of the surface imaginary part, dependent on the target mass number, to give better applicability to the analysis of scattering from light target nuclei.

Lab-on-a-chip paper-based electrochemically assisted solid-phase microextraction and ion selective sensor for determination of naproxen in biological fluid samples

BackgroundThe integration of paper-based analytical devices with lab-on-a-chip technology has opened up new possibilities for miniaturized, rapid, low cost and portable diagnostic testing in resource limited settings. This work introduces an integrated lab-on-a-chip platform coupling paper-based analytical devices (LOC-PADs) for dual usage: electrochemically controlled solid-phase microextraction (EC-SPME) and determination of naproxen (NAP) by potentiometric ion-selective electrode (ISE) in biological samples. ResultsConductive papers were successfully fabricated by a chemical procedure. Thereupon, a conducting molecularly imprinted polymer (CMIP) film based on PPy and an anionic model drug (NAP) as a template were applied to the conductive paper substrate via electrochemical methods. A microfluidic chip device was employed to assess the analytical performance of the fabricated paper-based CMIP. The designed chip is divided into two parts with a microfluidic channel between them. The first chamber is an extraction zone for EC-SPME of NAP by using the CMIP paper as a selective sorbent. The second chamber is the detection zone and consists of a paper-based NAP ion selective sensor for potentiometric detection of drug. The analytical process was investigated and optimized for each chamber. Remarkable selectivity towards NAP was achieved in the concentration range from 4.0 × 10−7 to 1.0 × 10−2 mol L−1 with determination coefficient (R2 = 0.99) and the limit of detection (LOD) was 2.0 × 10−7 mol L−1. Anionic Nernstian compliance was gained −58.5 ± 0.5 mV decade−1, and response time in the detection step was 7s for ISE. Satisfactory spiking recovery values within the acceptable range of 90–110 % with RSDs ≤7 % were achieved for the analysis of real samples with fully portable LOC device. SignificanceThe LOC-PADs were favorably used for selective extraction and determination of NAP in serum and saliva samples, respectively. EC-SPME caused sample clean-up, reduced or eliminated different interferences and enhanced selective response of ISE as detection zone of device. Integration of EC-SPME and ISE in a single chip enabled easy and fast determination of trace amounts of NAP in limited real sample volumes, and fully portable advantages.

Sparse-spike seismic inversion with semismooth newton algorithm solver

Seismic prospecting has been widely used in the exploration and development of underground geological resources, such as mineral products (e.x., coal, uranium deposit), oil and gas, groundwater, and so forth. Seismic impedance is a physical characteristic parameter of underground formation, which can be used in lithologic classification, rock characterization, stratigraphic correlation, and further mineral reservoir prediction, reserve estimation, and so forth. To estimate impedance from seismic data, one must perform reflectivity series inversion first. Under a simple exponential integration transformation, the reflectivity series can give the final estimated impedance. Sparse-spike seismic inversion is the most common method to obtain reflectivity series with high resolution. It adopts a sparse regularization to impose sparsity on reflectivity series. From sparse reflectivity series, the final estimated impedance has blocky features to make formation interfaces and geological edges precise, which is very important to accurately delineate the distribution range of mineral resources. The development of sparse-spike seismic inversion is still facing major challenges of fast optimization algorithms in real-life application, especially for massive seismic data in 3D case. Semismooth Newton algorithm (SNA), which is a second order mehtod and has super-linear, even quadratic convergence rate, is used to solve sparse-spike seismic inversion. The proposed algorithm has been compared with common used algorithms through a synthetic seismic trace and a 3D real seismic data volume. The results show that the proposed algorithm has faster convergence rate and fewer computation time. It provides a new effective algorithm to solve sparse-spike seismic inversion.

Countermeasures to promote sustainable construction and coordinated development of healthy cities: a case study of Dandong City

In order to promote sustainable construction and coordinated development of healthy cities in small and medium-sized cities, as well as to improve people's happiness, this paper takes the border city of Dandong as an example. It constructs 5 primary indexes and 28 secondary indexes, including healthy environment, healthy culture, health service, healthy society, and healthy tourism real estate. Among them, the index for healthy tourism real estate includes five secondary indicators: tourism income, number of tourists, real estate transaction volume, average selling price of commercial housing, and renovation of old residential areas. This paper analyzes the overall goal of healthy city construction in Dandong using the analytic hierarchy process (AHP). The relative priorities of the five first-level indicators considered are: healthy environment; healthy society; health service; healthy tourism real estate; and healthy culture. This indicates that a focus on creating a healthy environment is more important in evaluating a city's health. According to data analysis, Dandong has met national standards for creating a healthy environment and promoting a vibrant cultural scene. In addition to this achievement, the number of practicing (assistant) doctors per 1000 people in health services reached national standards in 2018, and people's living standards have gradually improved. Combining the advantages of local tourist destinations with the promotion of healthy development in the tourist industry, and balanced growth in real estate development as contributed to the creation of a positive social environment conducive to good health.

Interconnected and resilient: A CGE analysis of AI-driven cyberattacks in global trade.

The burgeoning interconnectedness of global trade in the digital age not only presents enticing opportunities but also harbors potent vulnerabilities of artificial intelligence (AI)-driven cyberattacks. This study explores the cascading impacts of these disruptive threats on economies, supply chains, and trade, utilizing the intricate lens of Computable General Equilibrium modeling. Through meticulously designed simulation scenarios, we illuminate the potential economic ramifications of cyberattacks, with a focus on regions heavily reliant on digital technologies and interwoven supply chains. The analysis reveals significant declines in real GDP, trade prices and volumes, and trade route disruptions across regions. Notably, economies like China, the United States, the United Kingdom, and the EU, due to their deep integration in global networks, face pronounced vulnerabilities. However, amidst this bleak landscape, hope emerges in the form of cyber resilience. The study showcases the effectiveness of proactive measures like adaptable production systems, diversified trade partners, and robust cybersecurity infrastructure in mitigating the adverse impacts of cyberattacks. Incorporating cyber resilience significantly dampens the reported negative consequences, highlighting the critical role of preparedness in combating digital warfare. This study underscores the urgent need for a global paradigm shift toward cyber resilience. Collective efforts to bolster cybersecurity infrastructures, foster international cooperation in threat intelligence, and establish open and resilient trade frameworks are crucial in navigating the treacherous labyrinth of AI-driven cyberattacks. By embracing resilience strategies and fostering global collaboration, we can pave the way for a more secure and prosperous digital future, where interconnectedness becomes a tool for progress, not a vulnerability to be exploited.

The Impact of Oil Prices on the Import of Capital Goods in Azerbaijan

The article studies theoretical and practical aspects of the oil prices impact on the import of capital goods in an oil-exporting country. Based on the two-step Engel-Granger procedure for cointegration analysis, the relationship between the real volume of imported capital goods per capita and the real price of Azeri light oil is examined. It has been determined that the real volume of imported capital goods per capita is highly dependent on the oil price, and the volatility of the oil price also affects the volatility of imports of capital goods. This also shows that investment activity in the country depends on oil prices. Therefore, it is necessary to spend oil revenues, regardless of oil prices, depending on the economic development goals and to pursue policies to transform oil revenues into stable growth factors.

Comparative study of alpha scattering from various nuclei at 130 MeV: Microscopic potentials and coupled channel calculations

The angular distributions of the elastic and inelastic scattering cross sections of alpha projectiles on different heavy ion target nuclei including 12C, 16O, 24Mg, 28Si and 40Ca at energy of 130 MeV have been studied using two different microscopic real potentials generated by the energy density functional (EDF) theory, and single folding cluster model as well as phenomenological Woods-Saxon potentials. A new parameterization was considered for the first time by EDF and to make the normalization coefficient tend to unity, it is necessary to consider correction to the calculated real potential. Coupled channel calculations for various low-lying states were performed, and the best fit values for the deformation length with the above models were extracted by fitting the inelastic scattering cross section and compared to previous work values. The total reaction cross section, as well as the real and imaginary volume integrals, have been studied.

The Extent, Excessiveness and Sustainability of Afghanistan’s Current Account

This article empirically investigates the extent, excessiveness and sustainability of Afghanistan’s current account (CA) deficits using quarterly data from 2004-Q2 to 2019-Q4. The framework of this article is the intertemporal approach to the CA using the present value model. First, a descriptive analysis of Afghanistan’s CA is conducted. Next, a bivariate vector auto-regressive (VAR) model is applied to estimate the optimal CA of the economy, which can be compared to the actual one to determine how excessiveness the actual CA is relative to the optimal one. The Augmented Dickey-Fuller and Johnson co-integration tests are applied to examine the necessary and sufficient conditions for the sustainability of the CA. Findings indicate that Afghanistan’s actual CA deficits are excessive and too variant relative to the optimal one; therefore, the deficit is considered problematic. The empirical results further disclose that Afghanistan’s CA is unsustainable. The lack of co-integration between real net output and real private consumption and between exports and imports suggests that the unsustainability is mainly due to the weakness of domestic production in satisfying internal demand and the failure of real export volume to equilibrate the trade balance. Hence, this study recommends increasing the level of domestic output, and reduction in imports supported by improvements in saving rate, infrastructure and export to improve the CA. JEL Codes: F14, F32, F39, C22

Compressive Mechanical Behavior and Corresponding Failure Mechanism of Polymethacrylimide Foam Induced by Thermo-Mechanical Coupling.

Thermal-mechanical coupling during the molding process can cause compressive yield in the polymer foam core and then affect the molding quality of the sandwich structure. This work investigates the compressive mechanical properties and failure mechanism of polymethacrylimide (PMI) foam in the molding temperature range of 20-120 °C. First, the DMA result indicates that PMI foam has minimal mechanical loss in the 20~120 °C range and can be regarded as an elastoplastic material, and the TGA curve further proves that the PMI foam is thermally stable within 120 °C. Then, the compression results show that compared with 20 °C, the yield stress and elastic modulus of PMI foam decrease by 22.0% and 17.5% at 80 °C and 35.2% and 31.4% at 120 °C, respectively. Meanwhile, the failure mode changes from brittle fracture to plastic yield at about 80 °C. Moreover, a real representative volume element (rRVE) of PMI foam is established by using Micro-CT and Avizo 3D reconstruction methods, and the simulation results indicate that PMI foam mainly shows brittle fractures at 20 °C, while both brittle fractures and plastic yield occur at 80 °C, and most foam cells undergo plastic yield at 120 °C. Finally, the simulation based on a single-cell RVE reveals that the air pressure inside the foam has an obvious influence of about 6.7% on the yield stress of PMI foam at 80 °C (brittle-plastic transition zone).

LSTM deep learning long-term traffic volume prediction model based on Markov state description

ABSTRACT When applying long short-term memory (LSTM) neural network model to traffic prediction, there are limitations in exploiting spatial-temporal traffic state features. The interpretability of models has not received enough attention. This study suggests an LSTM traffic flow prediction model that can anticipate traffic volume 24 h in advance. The model makes use of the traffic flow state information obtained from the fuzzy C-means clustering method by clustering the multi-day historical traffic flow data. Markov chain is used to capture the label feature of traffic flow using transition probability matrix information. To show the efficacy of the suggested technique, experiments were conducted using real traffic volume data from a city in China. The simulation results demonstrate that the proposed model can attain greater prediction accuracy, and the network training time may be significantly reduced.

Factors influencing investment into PropTech and FinTech – only new rules or a new game?

PurposeMany studies have analysed the impact of various variables on the ability of companies to raise capital. While most of these studies are sector-agnostic, literature on the effects of macroeconomic variables on sectors that established over the last 20 years like property technology and financial technology, is scarce. This study aims to identify macroeconomic factors that influence the ability of both sectors and is extended by real estate variables.Design/methodology/approachThe impact of macroeconomic and real estate related factors is analysed using multiple linear regression and quantile regression. The sample covers 338 observations for PropTech and 595 for FinTech across 18 European countries and 5 deal types between 2000–2001 with each observation representing the capital invested per year for each deal type and country.FindingsBesides confirming a significant impact of macroeconomic variables on the amount of capital invested, this study finds that additionally the real estate transaction volume positively impacts PropTech while the real estate yield-bond-gap negatively impacts FinTech.Practical implicationsFor PropTech and FinTech companies and their investors it is critical to understand the dynamic with mac-ro variables and also the real estate industry. The direct connection identified in this paper is critical for a holistic understanding of the effects of measurable real estate variables on capital investments into both sectors.Originality/valueThe analysis fills the gap in the literature between variables affecting investment into firms and effects of the real estate industry on the investment activity into PropTech and FinTech.

The extended resonant modal theory and its applications

AbstractThe authors extend the resonant modal theory (RMT) developed previously for a metal object to an arbitrary source region consisting of metals, dielectrics, or a combination of both. The influences of dielectrics on the fields are replaced by equivalent volume sources through the use of the compensation theorem in electromagnetic theory. The resonant frequencies can be determined by finding the roots of the determinant of the matrix resulted from the discretisation of the real homogeneous volume–surface integral equation derived from the requirement that the difference of stored field energies in the source region vanishes. As applications of the extended RMT, three examples have been investigated. The first example is a dielectric resonator antenna and is designed by exciting the first resonant mode of the composite structure in which the dielectric cylinder is combined with a conformal metallic strip. The second example is a dual‐band dielectric‐coated metallic wire antenna. The third example studies the resonant modes of a rectangular patch antenna.

Оценка добавленной стоимости во внешней торговле: современные подходы

The increase in globalization processes, which accelerated the fragmentation of production chains in the global economy, updated the task of clarifying the contribution of each of the element of the chain to the final result. With the consolidation of foreign economic cooperation, on the one hand, new opportunities have opened up for the inclusion in the international division of labor for more and more countries and companies, and on the other hand, risk threats of destroying or breaking relationships in these global value chains have intensified. This updated the task of specifying the real volumes of export-import turnover, cleared of double counted elements. In the early 2010s almost simultaneously there have been launched 3 basic concepts of export decomposition in the categories of value-added trade, prepared by UNCTAD, OECD and the EU. The system-functional analysis of the proposed approaches made it possible, at the same time, to reveal a number of keen questions that asked for clarification, in particular, the underestimation of intangible assets in creating value-added in exports within the framework of a specific global value chain, the measurement of value-added embedded in re-export (re-import) turnover of the country, etc. These aspects received due coverage in foreign and domestic economic literature. However, the latest developments by foreign specialists of the methodology of decomposing exports into the internal and external components of net production and double counted elements in the domestic scientific turnover are still being introduced with some delay. In this regard, the article set the task of conducting a comparative analysis of the main new results achieved, focusing on the methods introduced by A. Nagengast – R. Stehrer (2014) and A. Borin – M. Mancini (2019). At the same time, the main attention was concentrated on identifying breakthrough methodological "increments." It was revealed that new results are in demand not only in the context of macroeconomic analysis of transformational processes in the global economy, but also to an increasing extent to adjust foreign trade policy and develop ways to mitigate the risks of deterioration of bilateral foreign trade relations.

Mix desing method lightweight concrete

There are several methodologies for Portland cement concrete dosage, among these, the method recommended by the Technological Research Institute of the State of São Paulo - IPTUSP, which is widespread in Brazil. Although it does not present dosage factors for lightweight concrete, this paper proposes a dosage method based on the IPT method for lightweight concrete with EPS. The concrete was dosed with CPV ARI cement, sand and EPS, and two volumes of aggregates (m) were made, thus making a rich and a poor trace, for this, two aggregate contents (m) were executed, thus making a rich and a poor mix, being them: 1:1, 1:2 (aggregates mix in real volume (L) per kg of cement), respectively. Then, each mix (1:m) was dosed with three different levels of EPS (25, 50 and 75%, to each "m"). The properties of the concretes were evaluated in the fresh state, through the slump test [1] and specific mass through the known volume method, and, in the hardened state, by the specific mass test [2] and compressive strength [3]. With the results obtained from this study, it was possible to elaborate a dosage diagram for each "m" analyzed, obtaining the values of the EPS content, projection of compressive and slump resistance, indicated in a dosage abacus made from the test results, these parameters are essential for the determination of the concrete mix.

A New Method for the Compaction Quality Inspection of High Rockfill Dams Based on 3D Laser Scanning Technology

The compaction quality is directly related to the deformation and stability of the rockfill dam. Measuring the test pit volume efficiently and accurately is the most critical step during the compaction quality inspection. A new method for calculating the test pit volume based on point cloud data is proposed. An auxiliary device that can change the scanning distance and angle of the handheld 3D laser scanner is developed to collect the initial point cloud. The segmentation method of the initial point cloud data including the test pit and the compaction surface outside the pit is to divide the data into two parts according to the order number of the segmentation point, after slicing and sorting point clouds, which is the key to ensuring the computational precision. The segmentation points are the adjacent two points with the greatest order number difference in these point clouds whose distance from the line connecting the end points of the slicing point clouds is less than dz. The compaction surface point clouds are used to construct a plane by the least-squares algorithm so that the closed three-dimensional model is formed by registering it with the test pit point clouds. After converting the test pit surface to the horizontal plane by the Rodrigues formula, the test pit point clouds are divided into n2 parts with equal projection areas on the horizontal plane, and n2 prisms are constructed using them and their projection areas. The test pit volume is the sum of the intersection space volumes of all prisms and the test pit model, and the intersection space is determined by comparing the Z-values of point clouds. The new method was programmed in MATLAB and applied to the Shuangjiangkou rockfill dam with a height of 315 m. The relative error of volume results between the new method and the old water-filling method is 0.14–2.31%. The cause of the error is analyzed, and it is proved that the results of the new method are closer to the real volume of the test pit in theory. This method reduces the inspection cost but greatly improves the level of precision, efficiency, and intelligence for compaction quality inspection.

Spatiotemporal analysis of determinants of trends in consumption of paid services by the population (the Federal Districts of the Russian Federation case)

Subject. The article deals with identification and quantification of the impact of economic and social factors on the consumption of charged services by the population at the meso-level. Objectives. The purpose is to unveil and analyze the differentiation of the influence of macroeconomic factors on the index of physical volume of consumption of paid services by the population. Methods. The study employs econometric approach to analyze official statistics data. Using panel data models, we analyze individual effects and the nature of relationships between factors by federal district. Results. The COVID-19 epidemic seriously reduced the real volume of consumption of fee-based services in 2020, however, next year, the per capita consumption of the said services returned to the pre-COVID trend. For econometric calculations, we selected the industrial production index, unemployment rate, real monetary incomes, and consumer price index as factors influencing the index of actual volume of paid services. Based on the models of fixed, random effects and the pool model, we investigated differences in the consumption of paid services by the population by federal district. Conclusions. The analysis of specifications of panel data models enabled to conclude that the factors selected for the study have a similar effect in all federal districts. With the industrial production index and the consumer price index growth, the index of physical volume of paid services increases. The rising unemployment has the opposite effect on the consumption of paid services.

Bathymetric effect on geoid modeling over the Great Lakes area

Bathymetry data over lake areas are not included in the current and previous NGS (National Geodetic Survey) geoid models. Lake surfaces are simply treated as land surfaces during the modeling regardless of the apparent density difference between water and rock, resulting in artificial masses that distort the model from the actual gravity field and the corresponding geoid surface. In this study, compiled high-resolution bathymetry data provided by National Centers for Environmental Information are used to identify the real volume of water bodies. Under the mass conservation principle, two strategies are deployed to properly account the water body bounded by the mean lake surface and the bathymetry indicated lake floor into the current NGS geoid modeling scheme, where the residual terrain modeling method is used to account for topographic effects. The first strategy condenses water bodies into equivalent rock masses, with the cost of changing the geometrical shape of the water body. The second one keeps the shape of the water body unchanged but replaces the water and rock densities inside each topographical column bounded by the geoid surface and the mean lake surface by an averaged density. Both strategies show up to 1-cm geoid changes when compared with the previous geoid model that does not consider bathymetric information. All three geoid models are evaluated by local GNSS/Leveling benchmarks and multi-year-multi-mission altimetry indicated mean lake surface heights. The results show that both strategies can improve the geoid model precision. And the second strategy yields more realistic results.Graphical

Force servo nano-precision diamond cutting of freeform surfaces on a micro-precision machine

This paper presents force servo single point diamond cutting of freeform surfaces with nano-precision on a micro-precision machine. For nanometric machining accuracy, traditional diamond cutting based on position servo, requires accurate machine axial motions by ultra-precision machine with high cost, or utilizes a fast tool servo to compensate for machine slide vibration and motion error of common machines that is a complicated procedure. In this paper, nanometric machining accuracy was achieved on a micro-precision machine by force servo diamond cutting, in which the tool can be driven to trace the workpiece surface to compensate for the machine slide vibration, machine motion errors and workpiece incline errors accurately and automatically. For highly sensitive and stable force controlling, force servo nanocutting mechanism (FSNM) based on flexible structures was designed with force sensing resolution down to submillinewton level, and a damping controller was developed to suppress the resonant vibration of the FSNM. For extending application of force servo cutting from fabrication of only discontinuous microstructures to continuous freeform surfaces, referring force maps were developed by considering the real material removal volume of each cutting point. Force servo cutting was then validated by fabricating freeform surfaces with surface form errors of less than 10 nm on silicon spherical surfaces based on the micro-precision machine. The works discussed in this paper provide an effective technique for the fabrication of complex and continuous microstructured and freeform surfaces with nano-precision by common machines only with micron even tens of microns precision.

The determination of the optimal threshold on measurement of thyroid volume using quantitative SPECT/CT for Graves' hyperthyroidism

PurposeTo investigate the optimal threshold for measuring thyroid volume in patients with Grave's hyperthyroidism (GH) by SPECT/CT.Materials and methodsA 53 mL butterfly-shaped hollow container made of two 45-degree transparent elbows was put into a NEMA IEC phantom tank. The butterfly-shaped container and the tank were then filled with Na99mTcO4 of different radioactive concentrations, respectively, which could simulate thyroid gland with GH by different target-to-background ratios (T/B) (200:1, 600:1, 1000:1). The different T/B of planar imaging and SPECT/CT were acquired by a Discovery NM/CT 670 Pro SPECT/CT. With Thyroid software (Version 4.0) of GE-Xeleris workstation, the region of the thyroid gland in planar imaging was delineated. The thyroid area and average long diameter of both lobes were substituted into the Allen formula to calculate the thyroid volume. The calculation error was compared with the actual volume. Q-Metrix software was used to perform CT-based attenuation correction, scatter correction, resolution recovery. Ordered-subsets expectation maximization was used to reconstruct SPECT data. 20%, 25%, 30%, 40%, 50%, 60% thresholds were selected to automatically delineate the volume of interest and compared with the real volume, which determinated the optimal threshold. We measured the thyroid volume of 40 GH patients using the threshold and compared the volumes obtained by planar imaging and ultrasound three-dimensional. The differences of the volumes with different T/B and thresholds were compared by the ANOVA and least significant difference t test. The volumes delineated by SPECT/CT were evaluated using ANOVA, least significant difference t test, correlation analysis and, linear regression and Bland–Altman concordance test plot. The differences and consistency of thyroid volume were compared among the above three methods.ResultsThere was no significant difference in the results between different T/B models (P > 0.05). The thyroid volume calculated by the planar imaging formula method was higher than the real volume, with an average overestimation of 22.81%. The volumes delineated by SPECT/CT threshold automatically decreased while the threshold increased. There were significant differences between groups with different thresholds (P < 0.001). With an average error of 3.73%, the thyroid volume analyzed by the threshold of 25% was close to the results of ultrasound measurement (P > 0.05). Thyroid volume measured by planar imaging method was significantly higher than ultrasound and SPECT/CT threshold automatic delineation method (P < 0.05). The agreement between the SPECT/CT 25% threshold and ultrasound (r = 0.956, b = 0.961) was better than that between the planar imaging and ultrasound (r = 0.590, b = 0.574). The Bland–Altman plot also showed that the thyroid volume measured by the 25% threshold automatic delineation method was in good agreement with the ultrasound measurement.ConclusionsThe T/B has no effect on the measurement of thyroid volume in GH patients; planar imaging method can significantly overestimate thyroid volume in GH patients, and 25% threshold automatic delineation method can obtain more accurate thyroid volume in GH patients.