Multifactor Effects Research Articles

Measurement and characterization of asphalt fatigue behavior under multi-factor effects

Measurement and characterization of asphalt fatigue behavior under multi-factor effects

Temperature damage assessment of mass concrete based on the coupling mechanism of hydration-temperature-humidity-constraint factors

Temperature cracking of mass concrete is an important issue affecting the safety of concrete foundations in civil engineering. This problem extends from the construction process of concrete foundations to the operation stage. This study uses low-temperature-rising (LTR) polymers to regulate the hydration process of cementitious materials, and prepares LTR mass concrete. Taking the hydration degree of concrete-cement system as the basic state variable, the multi-factor effects of actual hydration process, temperature, humidity changes, and constraints on mass concrete are comprehensively considered. A concrete temperature-damage model based on the coupling mechanism of “hydration-temperature-humidity-constraints” is established, and the temperature, stress, and temperature damage evolution laws of LTR mass concrete and ordinary mass concrete are calculated. The reliability of the model is verified through field tests. The results show that the finite element method can effectively simulate the development of concrete temperature, stress, and damage degree based on actual working conditions under multi-factor coupling.

Runoff variation in midstream Hei River, northwest China: Characteristics and driving factors analysis

Study regionThe midstream of the Hei River Basin (HRB). Study focusThe study investigated the changes in hydrological elements at different time scales in the basin from 1982 to 2020. We used the Budyko coupled balance equation to quantitatively assess the contributions of climate change and human activity-induced land surface changes to runoff during different periods. In addition, the driving factors of flow consumption within the basin were analyzed using wavelet coherence and generalized additive model (GAM). New hydrological insights for the regionPrior to 2001, there was a significant decrease in annual-scale runoff in the midstream. After that, a partial recovery was observed due to the influence of the Ecological Water Transfer Project (EWTP), while the NDVI trend exhibited an opposite pattern. The study indicates that human-induced modification of the underlying surface is the primary driving factor for the decrease in runoff, with land surface factors contributing 84.69% and 65.27% to the runoff reduction during two periods of change, respectively. Further research on the driving forces of runoff consumption reveals that vegetation cover and climate factors jointly regulate the variations in runoff consumption in the midstream, with multifactor effects surpassing those of individual factors, and NDVI emerges as the predominant controlling factor for runoff consumption. Moreover, all anthropogenic factors exhibit a high explanatory power for runoff consumption.

Strength characteristics of foamed concrete under coupling effect of constant compressive loading and freeze-thaw cycles

In cold regions, foamed concrete used for the tunnel reserved deformation layer is usually subjected to environmental factors, such as the groundwater erosion, peristaltic pressure of surrounding rock, and freeze-thaw cycles. In this research, experiments considering single-factor (i.e., water immersion, constant compressive loading, and freeze-thaw cycles) and coupled multi-factor effects (the coupling of water saturated - constant loading and constant loading - freeze thaw cycles) were conducted on foamed concretes with different densities to examine the strength variation under different conditions. The results show that under the effect of single-factor environment, the average compressive strength of saturated foamed concrete is about 10% lower than the dry foamed concrete. The compressive strength of foamed concrete significantly decreases at the beginning of constant compressive loading but gradually increases with the loading time. Furthermore, the strength loss of foamed concrete after 30 freeze-thaw cycles can exceed 10%. Under the multi-factor coupled environment, the hydraulic effect accelerates the degradation of foamed concrete, particularly in terms of water saturation - constant loading coupling. Furthermore, for loading - freeze thaw cycles coupling, the compressive loading of 0.3 fc (fc is the unconfined compressive strength at 28 days) can improves the frost resistance of foamed concrete. In addition, the results of orthogonal analysis prove that the density has the most important influence, followed by the freeze-thaw cycle and the slightest effect of constant compressive loading. Additionally, a prediction equation of compressive strength as a function of density, freeze-thaw cycles, and the constant pressure value was established to describe the strength variation of foamed concretes under coupled-loading effects.

Analyzing multi-factor effects on travel well-being, including non-linear relationship and interaction

ABSTRACT Enhancing the travel well-being of commuters is crucial for the sustainable development of urban transportation and requires a clear understanding of the factors. However, existing research on the factors affecting travel well-being has not considered travel disturbance. This research adds travel disturbance and effort to a survey in Ningbo, China. Using this dataset, machine learning algorithms were employed to explore the complex relationship of seven variables on commuters’ travel well-being. The results demonstrated machine learning algorithms such as Gradient Boosting Decision Tree and Random Forest outperform traditional linear regressions in analyzing travel well-being. The study identified built environment (Relative Importance = 24.6%) and affective effort (Relative Importance = 17.2%) were key determinants of travel well-being. Non-linear relationship between key variables and travel well-being was also investigated, and revealing a complex interaction between these variables. This research could help transportation managers provide more targeted and efficient suggestions to increase urban commuters’ travel well-being.

Early-age cracking in mass concrete: Modeling and case study of an extra-large exhibition pool

Early-age cracking is one of the most common and challenging problems in the construction of mass concrete structures. This paper addresses the effects of factors such as temperature, hydration, creep, and shrinkage on the time-varying properties of concrete during construction by establishing an energy-based constitutive model for early-age concrete within the framework of continuous damage mechanics. The model comprehensively describes the damage of concrete due to the aging effect related to the degree of hydration, where the mechanical damage is driven by the work conjugated to the elastoplastic damage energy release rates. The thermal evolution during hydration is fitted with a large amount of experimental data, enabling the partial decoupling of multi-factor effects and facilitating the establishment of a sequential thermal-mechanical coupling analysis method. After preliminary verification through restrained ring cracking tests, the proposed model and method are applied to simulate the construction of an actual large-scale Orcinus orca exhibition pool. By predicting and analyzing the worst-case scenarios, the cracking risk, potential cracking mode, and cracking location of the large pool are determined, providing an important basis for practical construction control and optimization. Examples of these strategies include segmented schemes, reinforcement optimization, and the addition of tensile fibers, as well as selecting the best wind speed, environmental temperature, and casting temperature during construction. These efforts provided crucial guidance for the actual construction of the exhibition pool, and as a result, no visible cracks were found in the completed structure.

Strength Investigation and Prediction of Superfine Tailings Cemented Paste Backfill Based on Experiments and Intelligent Methods.

The utilization of solid waste for filling mining presents substantial economic and environmental advantages, making it the primary focus of current filling mining technology development. To enhance the mechanical properties of superfine tailings cemented paste backfill (SCPB), this study conducted response surface methodology experiments to investigate the impact of various factors on the strength of SCPB, including the composite cementitious material, consisting of cement and slag powder, and the tailings' grain size. Additionally, various microanalysis techniques were used to investigate the microstructure of SCPB and the development mechanisms of its hydration products. Furthermore, machine learning was utilized to predict the strength of SCPB under multi-factor effects. The findings reveal that the combined effect of slag powder dosage and slurry mass fraction has the most significant influence on strength, while the coupling effect of slurry mass fraction and underflow productivity has the lowest impact on strength. Moreover, SCPB with 20% slag powder has the highest amount of hydration products and the most complete structure. When compared to other commonly used prediction models, the long-short term memory neural network (LSTM) constructed in this study had the highest prediction accuracy for SCPB strength under multi-factor conditions, with root mean square error (RMSE), correlation coefficient (R), and variance account for (VAF) reaching 0.1396, 0.9131, and 81.8747, respectively. By optimizing the LSTM using the sparrow search algorithm (SSA), the RMSE, R, and VAF improved by 88.6%, 9.4%, and 21.9%, respectively. The research results can provide guidance for the efficient filling of superfine tailings.

Frictional vibration behaviors of a new piezo-damping composite under water-lubricated friction

Water-lubricated bearings have become an important component of marine propulsion systems due to the requirements of environmental friendliness and concealability. However, water-lubricated bearings are often subjected to bending stress, additional stress, frictional resistance and other multi-factor effects, resulting in boundary friction or even dry friction on the friction interfaces when encountering unique working conditions such as engine start-stop, steering, low-speed, and heavy-load. The severe frictional processes often induce vibration behaviors and generate frictional noise, which seriously weakens the sound concealment performance and service life of marine propulsion systems. Therefore, it is urgent to improve the vibration and sound pressure behaviors of the composite bearings under water-lubricated conditions. In this study, novel barium titanate/carbon black/polyurethane composites (BaTiO3/CB/PU) are fabricated and then explored the damping capacities and tribological properties of the new polymers. The results showed that the BaTiO3 concentrated on transforming the mechanical energy generated by frictional vibration into electrical energy which generates the thermal energy. The water cooled the frictional heat and the piezo-damping heat. This energy dissipation method increased the damping capacity to reduce the vibration and noise behaviors induced by friction. The composite with 3.0 wt% BaTiO3 performed the highest loss factor under the operating temperatures and presented the best frictional vibration reduction properties. The knowledge obtained in this study is useful not only to explore a new piezo-damping composite, but also to provide a theoretical basis for developing higher performance polymer-based water-lubricated bearing.

Quantifying Multifactor Effects on Mud Cake Formation Risk for a Tunnel Boring Machine with the Analytical Hierarchy Process

Tunnel boring machines often encounter clogging during excavation in strata with rich clay content. The clogging can damage the cutterhead and interrupt excavation. Cutting tool clogging, also known as mud cake formation, has a strong effect on excavation work efficiency. While current studies are focusing on the mechanism of clogging, engineering practice still heavily relies on qualitative empirical judgement. To quantitatively assess the risk of mud cake formation, we carefully selected 22 influential parameters to reflect the effect of geological, machinal, and operational risk factors in the tunneling process and established a rubric for risk factor contributions using the analytical hierarchy process (AHP). The results imply the liquidity index, plasticity index, cutterhead torque, and total thrust force contribute to around 45% of the total influence on mud cake formation, while machinal factors are less influential than geological and operational factors. We verified the framework with a tunnel section from the Guangzhou Metro Line 22 that had mud cake formation reported. Rings labelled as high risk for mud cake formation by our framework concurred with those rings with mud cake actually observed. Project log and operational parameter variations were incorporated to explore the connection between mud cake formation and treatment.

The Environmental and Socioeconomic Effects and Prediction of Tuberculosis Patients in different age groups in the Southwest of China: a population based study.

While the End Tuberculosis (TB) Strategy has been implemented worldwide, the cause of TB epidemic is multifactorial and has been not fully understood. To investigate the risk factors of TB and incorporate these factors to forecast the incidence of TB infection across different age groups in Sichuan, China. Correlation and linear regression analyses were conducted to assess the relationships between TB cases and ecological factors, including environmental, economic, and social factors in Sichuan Province from 2006 to 2017. The transfer function-noise (TFN) model was used to forecast trends, considering both time and multi-factors effects. From 2006 to 2017, Sichuan Province had a reported cumulative incidence rate of 1321.08 cases/100,000 in males and 583.04 cases/100,000 in females. There were significant sex differences in the distribution of cases among age groups (trend χ2=12,544.416, P<.001). Ganzi Tibetan Autonomous Prefecture had the highest incidence rates of TB in both males and females in Sichuan. Correlation and regression analyses shown that the total illiteracy rate and averagepressure ateachmeasuring station (for individuals aged 15-24) were risk factors for TB. The protective factors follows: the number of families with the minimum living standard guarantee in urban areas, average wind speed, number of discharged patients with invasive TB, number of people with the minimum living standard guarantee in rural areas, total health expenditure as a percentage of regional GDP, being a single male (for individuals aged 0-14), number of hospitals, number of health workers in infectious disease hospitals (for individuals aged 25-64), amount of daily morning and evening exercise, number of people with the urban minimum living standard guarantee, and being married (for females aged >64 years). The TFN model indicated that the incidence of TB in males aged 0-14 and 15-24 will continue to rise, and the incidence of TB in females aged 0-14 and >64 will continue to increase rapidly in Sichuan, by 2035. The End TB Strategy in Sichuan should take into account environmental, educational, medical, social, personal and other conditions, and further substantial efforts are needed especially in aged 0-24 males, aged 0-14 females, and 64 years elder females. Data collection of TB was required by the Law of the People's Republic of China on Prevention and Treatment of Infectious Diseases. The ethical approval in this study was granted by the Ethics Committee of Sichuan CDC (SCCDCIRB2022-001).

Number of simultaneously acting global change factors affects composition, diversity and productivity of grassland plant communities

Plant communities experience impacts of increasing numbers of global change factors (e.g., warming, eutrophication, pollution). Consequently, unpredictable global change effects could arise. However, information about multi-factor effects on plant communities is scarce. To test plant-community responses to multiple global change factors (GCFs), we subjected sown and transplanted-seedling communities to increasing numbers (0, 1, 2, 4, 6) of co-acting GCFs, and assessed effects of individual factors and increasing numbers of GCFs on community composition and productivity. GCF number reduced species diversity and evenness of both community types, whereas none of the individual factors alone affected these measures. In contrast, GCF number positively affected the productivity of the transplanted-seedling community. Our findings show that simultaneously acting GCFs can affect plant communities in ways differing from those expected from single factor effects, which may be due to biological effects, sampling effects, or both. Consequently, exploring the multifactorial nature of global change is crucial to better understand ecological impacts of global change.

Experimental study and modification of the constitutive model of superelastic SMA considering multi-factor effects

The constitutive model is the basis and key for the application of materials in practical engineering. Numerical simulation has become one of the most important methods of scientific research, and an accurate constitutive model provides guarantees for the efficiency of numerical simulation. The multi-linear constitutive model is one of the most useful models for engineering. In this paper, different diameters of superelastic Shape Memory Alloy (SMA) wires are selected to investigate mechanical properties through experimentation. The influences of diameter, loading rate, temperature, and loading amplitude on the phase transformation stress, elastic modulus, residual strain, and energy dissipation properties are researched individually, and then the expressions of the influence law are given. Correction coefficients considering the effects of diameter, loading rate, temperature, and loading amplitude are employed to modify the multi-linear constitutive model. A multi-linear dynamic constitutive model considering multiple influence factors is given. Finite element analysis is carried out by introducing the modified multi-linear dynamic constitutive model into the finite element software, and the simulation results are compared to the testing results. The modified multi-linear dynamic constitutive model has high accuracy and can guide the engineering and numerical studies.

Critical Factors Affecting the Participation in COVID-19 Vaccination Program in Residency of Surakarta: The Extended Theory of Planned Behaviour

Objective: This study evaluates the critical factors affecting COVID-19 vaccine acceptance in Indonesia using a proposed extended theory of planned behaviour (extended-TPB). Design/Methods/Approach: We conducted an online survey (N = 222 respondents) using a valid and reliable questionnaire to evaluate people's intention to take the COVID-19 vaccination. A structural equation modeling was performed to demonstrate the impact of religious acceptance (RA), vaccine safety (SF), trust (TS), perceived behavioural control (PBC), attitude towards vaccination (ATT), and subjective norms (SN), on intention (IN) to accept COVID-19 vaccine. Findings: The results show positive relationships of all hypotheses except the correlation between RA and TS. TS becomes a positive determinant of ATT, SN, PBC, and INT, and TS is influenced by SF but not by RA. TS is the key determinant factor of intention to uptake the COVID-19 vaccine. Originality: This study used a proposed extended TPB by adding trust, religious acceptance, and safety as additional components of TPB to predict the intention to participate in COVID-19 vaccination. This study is essential because the vaccine is believed to be the best strategy to deal with virus-related diseases, such as COVID-19. However, there is a lack of information on the multifactor effects of Indonesian people's acceptance of vaccination, especially among Surakarta residents. Practical/Policy implication: This research can be a recommendation for the Indonesian government to elevate public intention to take the COVID-19 vaccine, especially by implementing policies that accentuate people's trust by confirming and publishing information about the vaccine safety.

Nitrogen effects on grassland biomass production and biodiversity are stronger than those of phosphorus

Human-induced nitrogen (N) and phosphorus (P) enrichment have profound effects on grassland net primary production (NPP) and species richness. However, a comprehensive understanding of the relative contribution of N vs. P addition and their interaction on grassland NPP increase and species loss remains elusive. We compiled data from 80 field manipulative studies and conducted a meta-analysis (2107 observations world-wide) to evaluate the individual and combined effects of N and P addition on grassland NPP and species richness. We found that both N addition and P addition significantly enhanced grassland above-ground NPP (ANPP; 33.2% and 14.2%, respectively), but did not affect total NPP, below-ground NPP (BNPP), and species evenness. Species richness significantly decreased with N addition (11.7%; by decreasing forbs) probably due to strong decreased soil pH, but not with P addition. The combined effects of N and P addition were generally stronger than the individual effects of N or P addition, and we found the synergistic effects on ANPP, and additive effects on total NPP, BNPP, species richness, and evenness within the combinations of N and P addition. In addition, N and P addition effects were strongly affected by moderator variables (e.g. climate and fertilization type, duration and amount of fertilizer addition). These results demonstrate a higher relative contribution of N than P addition to grassland NPP increase and species loss, although the effects varied across climate and fertilization types. The existing data also reveals that more long-term (≥5 years) experimental studies that combine N and P and test multifactor effects in different climate zones (particularly in boreal grasslands) are needed to provide a more solid basis for forecasting grassland community response and C sequestration response to nutrient enrichment at the global scale.

Comprehensive investigations on fluid flow and heat transfer characteristics of a high-speed rotating turbine disk cavity system of aero-engine

Thermal loading management of turbine disks get important attention in the safety of aero-engines due to a large temperature level and gradient differences in the turbine disk cavity. This study conducts a comprehensive evaluation to address complex heat transfer problems in a high-speed rotating turbine disk cavity system, fully considering multiple factors. A theoretical derivation is conducted to fully elaborate the multifactor influencing mechanisms of the system based on similarity criteria and a dimensional analysis method. Notably, a high-speed rotational experimental platform of rotating disk is established to verify the research method's reasonability and the result's accuracy. Furthermore, four dimensionless operation cases are conducted to assess the correlation mechanism of the system performance with a strong rotating flow and heat transfer. The results indicate that the main correlation factors of the disk cavity system performance are the flowing Reynolds number, rotating Mach number, rotating Reynolds number, specific heat ratio, and wall temperature. Moreover, the Rossby number and the swirl ratio are used to evaluate the fluid flow characteristics. With the increase in the flowing Mach number from 0.006 to 0.15 and the rotating Reynolds number from 0.74 × 106 to 14.80 × 106 at 9000 rpm, the Nusselt number on the rotor disk wall enhances to 1639.4 and 1286.9, respectively. However, it decreases to 1001.91 for the rotating Mach numbers in the range of 1800–13,500 rpm. Particularly, the dimensionless heat flux is in the range of 0.0026–1.23 under multifactor effects. In summarizing, the present findings are of importance for improving the thermal management and performance reliability of aero-engines by developing an advanced turbine disk cooling system.

Spatial and temporal dynamics of habitat quality in response to socioeconomic and landscape patterns in the context of urbanization: A case in Zhengzhou City, China

With the rapid development of urbanization, the habitat quality (HQ) in urban areas has been eroded. This phenomenon is destroying the balance of ecosystems, triggering the reduction of biodiversity and the decay of ecosystem service functions. The study of the relationship between urbanization and HQ in Zhengzhou City is beneficial for the reference of sustainable urban ecological planning and management. Based on landscape classification data and socioeconomic data for three years, this study analyzes the spatial correlations between socioeconomic and landscape pattern factors and HQ, compares the dynamic changes in the explanatory power of different factors, and explores the joint effects between multiple factors. The results show that: (1) The overall value of HQ index in Zhengzhou City decreased by .10 during 2000–2020, mainly occurring in suburban areas, with a small amount of HQ improvement occurring in the core areas of ecological protection, such as mountains and river channels. (2) The spatial autocorrelation of all influencing factors with HQ increased during this period, while the negative impact from socio-economic sources was stronger than the positive impact from landscape patterns. (3) Intensive human activities lead to a single habitat type, which reduces HQ; rich landscape types and complex landscape composition can enhance HQ. Improving the connectivity of blue-green landscapes helps to attenuate the negative effects of urbanization on HQ. (4) Changes of HQ in the study area and the development of multi-factor effects on HQ are driven by the Zhengzhou Metropolitan Area Plan. Urban development policies and management can build idyllic complexes at the edge of urban development, preserving pristine blue-green patches to avoid their homogenized distribution and thus slowing the decline of HQ. The above results provide new ideas for the development of sustainable urban ecology.

Multifactor effects on the N2O emissions and yield of potato fields based on the DNDC model.

Maintaining or increasing grain yields while also reducing the emissions of field agricultural greenhouse gases is an important objective. To explore the multifactor effects of nitrogen fertilizer on nitrous oxide (N2O) emissions and the yield of potato fields and to verify the applicability of the denitrification-decomposition (DNDC) model when used to project the N2O emission load and yield, this research chooses a potato field in Shenyang northeast China from 2017 to 2019 as the experiment site. The experiment includes four nitrogen levels observing the emission of N2O by static chamber/gas chromatograph techniques. The results of this study are as follows: (1) DNDC has a good performance regarding the projection of N2O emissions and yields. The model efficiency index EFs were 0.45 ~ 0.88 for N2O emissions and 0.91, 0.85, and 0.85 for yields from 2017 to 2019. (2) The annual precipitation, soil organic carbon, and soil bulk density had the most significant influence on the accumulated N2O emissions during the growth period of potatoes. The annual precipitation, annual average temperature, and CO2 mass concentration had the most significant influences on yield. (3) Under the premise of a normal water supply, sowing potatoes within 5days after the 5-day sliding average temperature in this area exceeds 10℃ can ensure the temperature required for the normal growth of potatoes and achieve the purpose of maintaining and increasing yield. (4) The application of 94.5kg·hm-2 nitrogen and 15mm irrigation represented the best results for reducing N2O emissions while also maintaining the yield in potato fields.

Surface contour error model of five-axis machining considering multifactor coupling effects

During five-axis flank milling procedure, the static deflection of workpiece and cutter creates surface errors that lead to defects in projects with strict requirements, especially in thin-walled parts industry. Focusing on the mentioned issues, the surface contour error is predicted in this paper considering the coupling between the deflection and cutting force. First, an efficient calculation method of the cutting force is presented in five-axis flank milling. This method accounts for the impact of cutter runout on cutter/workpiece engagement (CWE) and the instantaneous undeformed chip thickness (IUCT). Then, a cutter is modelled as a cantilever structure and thus an analytical solution for the deflection of the end mill can be obtained. Next, the flexible cutting force is distributed on a finite element (FE) model of workpiece, while the workpiece stiffness keeps varying with the material removal. Subsequently, a flexible iterative calculation method for achieving deflection prediction is established. Finally, the prediction model is proven by machining tests of an S-shaped specimen in which predicted values of the surface error match with the experimental results.

Multifactor Effects on the Thermal Performances of Molten-Salt Solid-State Lithium-Ion Batteries: A Numerical Study

The molten-salt battery is a very suitable battery for large-scale energy storage due to its low cost and excellent performance. A solid electrolyte-based liquid lithium battery (called SELL battery) is a new type of molten-salt battery with enormous potential for stationary energy storage and extreme environment energy storage such as aerospace and deserts. It has a series of advantages, including the good thermal and chemical performance of the LLZTO electrolyte, lithium anode’s high theoretical specific capacity (3860 mA h g–1), and recharged high-capacity cathode material. For more stable operation and higher energy utilization efficiency of molten-salt batteries, we designed a thermal–electrochemical coupled 3D SELL battery module model. We successfully realized the module-level long-term (dozens of hours) transient simulation under different operating conditions. Results demonstrate the existence of an optimal charge–discharge rate, which minimizes the sum of the heat generated by the battery and heating plate (31% energy saving compared to battery standing). The heating plate’s variable power working mode is more flexible and effective than the constant power working mode. With the increasing thickness of the heat insulation board, energy consumption gradually reduces (energy consumption of which the thickness of heat insulation board equals 3 cm is 3.7 times that of a 12 cm one) and tends to be gentle. A dense array of batteries helps maintain battery temperature and different heating plate shapes have little effect on the average heating plate power. This paper successfully simulated the electrochemical and heat transfer processes of the SELL battery for the first time. It provided a general and efficient numerical simulation method for the molten-salt battery. The results obtained are conducive to improving the molten-salt battery’s stability and reducing the battery module’s energy consumption.

Influence of Water-Soluble Pharmaceutically Acceptable Polymers on the Solubility of Darunavir and Darunavir Ethanolate

The solubility of darunavir (D) and darunavir ethanolate (DE) at physiological pH values and temperatures in solutions of pharmaceutically acceptable polymeric excipients was studied to substantiate dosage form formulations. Both substances were determined to dissolve better in HCl at pH 1.2 and 37°C. Use of PVP 90 in peroral dosage form formulations was shown to be unadvisable because of a negative effect on the solubility of the substances. The effect of Soluplus® on the solubility of D and DE was complicated by multifactor and heteropolar effects. PVP 12 – 30, HPMC 606, and Kollidon® VA64 HPC had positive effects on the solubility of D and DE substances. The best results were obtained for Eudragit® E PO solutions.