Mass Variation Research Articles

Absorbed dose differences between twin fetuses for pregnancy patients in CT examinations.

Estimation of the radiation dose to the fetus is essential for the assessment of radiation risks and benefits to pregnant patients undergoing radiological examinations. During the past decade, the global twinning rate has soared resulting from embryo assistance and increased delivery age. However, to the best of our knowledge, radiation dosimetry in multiple pregnancies from radiological imaging has never been reported before. The purpose of this study is to develop personalized computational models for twin fetuses based on clinical CT images of real pregnant patients and to estimate personalized radiation doses for twin fetuses from abdominal/pelvic CT examinations. Personalized computational phantoms representing pregnant females with twins at the second and third trimesters were constructed based on CT images of two pregnant patients. Monte Carlo calculations were performed using the MCNP transport code and three validated CT scanners to estimate the radiation dose of twin fetuses during abdominal and pelvic CT examinations. The absorbed fetal organ dose was calculated and compared between twins. For the same patient, the absolute difference in fetal organ dose between twins varies between 0.63% and 39.64% with an average value of 12.85%. The estimated total-body dose differences for twin fetuses were 11.55% and 7.51%, respectively, for pregnant patients at 22 and 30 weeks gestational age. The variations of body weight and organ mass affect the absorbed dose of twin fetuses. Personalized computational models provide more accurate fetal radiation dosimetry estimates for pregnant patients with twins. This work also contributes to a better understanding of model-induced uncertainties in external radiation dosimetry for the developing fetus.

Would the 2021 Western Europe Flood Event Be Visible in Satellite Gravimetry?

AbstractThe primary objective of the GRACE Follow‐On satellite mission is to measure temporal changes in the Earth's gravitational field. Distance variations between the two GRACE‐FO satellites, recorded by a K‐Band Ranging system and a new Laser Ranging Interferometer (LRI), are significantly influenced by atmospheric mass redistribution. We investigate whether the sub‐monthly variations in atmospheric water mass, precipitation, and changes in total water storage during the extreme flood event in western Europe in 2021 were sufficiently large to influence the satellite gravity field measurements, if the GRACE‐FO satellites would have passed directly over the region. We use several data sets such as weather forecasts (ICON‐D2 model), hydrological simulations (ParFlow/CLM), observations as well as reanalyses, showing the high uncertainty between different estimations of the considered variables: total precipitable water, total precipitation, and total water storage. Our estimates suggest a potentially noticeable impact of the 2021 flood event on the GRACE‐FO satellites. Although it was globally seen a rather small event, even the atmospheric water mass beyond water vapor, which is not considered within the de‐aliasing process, is close to the LRI detection accuracy. This is particularly relevant for future gravity missions, which will use the LRI with potentially higher sensitivity as their main instrument. Sub‐monthly variations in the total atmospheric water mass, that is, beyond water vapor of huge extreme precipitation events should be investigated further to reduce potential future aliasing errors.

Exploring the impact of sheet thickness scaling on Nanosheet FET gate electrostatics using k.p based simulations

This work explores the impact of sheet thickness scaling on gate electrostatics of NsFETs using k.p simulation. It is shown that thin channel NsFETs exhibit higher threshold voltage irrespective of the substrate orientation and channel material. However, the influence of geometrical confinement varies among different substrate orientations and channel materials due to variations in carrier quantization mass. It is also shown that thin channel NsFETs deliver higher inversion charges at equivalent gate over-drive voltages, thereby offering enhanced gate electrostatics. However, the advantage of gate electrostatics in thin channel NsFETs is limited by quantum capacitance. Optimizing the sub-band structure through strategic selection of substrate orientations and channel materials is essential to regulate quantum capacitance and to fully exploit the benefits of sheet thickness scaling in NsFETs.

Remodeling of Embryo Architecture in Response to Vanadium and Increased Temperatures: From Morphometric to Molecular Changes

The study of ecotoxicity induced by vanadium (V) represents an area of increasing interest due to the growing use of V in both the industrial and pharmaceutical areas. This leads to its introduction into water environments, marking a developing problem, especially since rising global temperatures appear to intensify its toxic properties. Cytotoxicological approaches carried out on whole marine embryos represent a valid research tool since they grow directly in contact with the pollutants and are equipped with highly responsive cells to stressors. Here, we discuss the detrimental impact on Paracentrotus lividus sea urchin embryos resulting from the combination of V and higher temperatures, reflecting the effects of climate variation. The results demonstrate the remodeling of embryonic architecture at the morphometric level, revealing developmental delays and anomalies. These malformations involve variations in the total skeletal mass due to the almost total absence of the skeleton, with the exception of small calcareous aggregates. Furthermore, both a modulation in total tissue remodeling enzymatic activities and a variation in the amount of three MMP-like gelatinases (MMP-2, -9, and -14) were observed. This research demonstrates that climate change significantly increases the harmful effects of V, emphasizing the necessity for comprehensive toxicity assessments in environmental evaluations.

Effects of soil bulk density and corresponding soil infiltration rate on the migration and transformation of gibberellic acid.

High intensity agricultural activities can lead to a decrease in soil fertility and an increase in soil bulk density, which may significantly impact the migration and transformation of pesticides in soil. As a new widely-used micro-toxic pesticide, gibberellic acid (GA3) is more soluble and hydrophilic than most pesticides, which could readily migrate throughout the soil during water infiltration and impact groundwater quality. In this study, the leaching of GA3 in saturated soils with different bulk densities (1.15-1.75g/cm3) and infiltration rates (0.2215-0.0017mm/s) were analyzed using column experiments. The migration and distribution of GA3 in the soil with a depth of 50cm were also investigated. The results indicated that GA3 could completely penetrate the soil with bulk densities less than 1.45g/cm3, and GA3 mass variation in the effluent was normally distributed. The maximum mass of GA3 in the effluent was calculated using the equation Moutlet(max)=79.01t-0.97 (R2=0.9811), and 83.69-93.16% mass of the added GA3 migrated downward in the soil. The analysis of the distribution of GA3 in the soil showed that GA3 accumulated in the upper soil layers with depths of 0-25cm (the total depth of soil was 50cm). In addition, the residual and hydrolyzed GA3 amounts in the soil were 75.07-96.47% and 5-30% of the added GA3, respectively. Overall, the soil bulk density and irrigation volume determine what type of impact that GA3 may potentially have on the environment.

Adaptive nonsingular fast terminal sliding mode control based finite-time disturbance observer for a quadrotor system

The present paper introduces an adaptive non-singular fast terminal sliding mode control (ANFTSMC) combined with a finite-time disturbance observer (FTDO), designed to address the trajectory tracking problem of a quadrotor system under the influence of external perturbations, model uncertainties, and mass variations. First, the nonlinear simplified dynamic model of the quadrotor is derived using the Newton-Euler approach. Then, an ANFTSMC method is employed to formulate control strategies for both the inner and outer loops of the quadrotor system. Backpropagation laws are used to tune the gains of the discontinuous reaching law. In addition, the paper integrates a finite-time disturbance observer with the proposed approach to estimate and counteract external disturbances. The closed-loop control stability is verified using Lyapunov theory. To assess the effectiveness of the suggested method, multiple flight tests are proposed using numerical simulations carried out in MATLAB/SIMULINK software. Simulation results are compared with an adaptive nonsingular fast terminal sliding mode controller (ANFTSMC). Numerical simulations demonstrate the superior performance of the suggested approach in terms of convergence time, tracking precision, and ability to reject external disturbances and uncertainties.

Relationship between triglyceride glucose-body mass index baselines and variation with future cardiovascular diseases risk in the middle-aged and elderly individuals

BackgroundCardiovascular diseases (CVDs) are gradually becoming the leading cause of morbidity and mortality among chronic non-communicable diseases. Previous studies have found that the TyG index is an effective alternative indicator for insulin resistance (IR) and is associated with cardiovascular events. Additionally, obesity directly or indirectly increases the risk of developing CVDs. Up to now, studies on the combined effects of these factors are insufficient, and the conclusions are not yet consistent. This study aims to analyze whether the baseline levels and fluctuations of triglyceride glucose-body mass index (TyG-BMI) are associated with the incidence of CVDs and their subtypes in a prospective cohort of middle-aged and elderly individuals.MethodsThe data for this study were obtained from the China Health and Retirement Longitudinal Study (CHARLS), which is an ongoing nationally representative prospective cohort study. After excluding participants with partially missing variables that could affect the study results, this study ultimately included 7,072 participants, with data records spanning from 2011 to 2020. The exposures were TyG-BMI and the change in TyG-BMI from 2011 to 2015. The TyG-BMI index was calculated as TyG index multiply BMI. The change of TyG-BMI was categorized using K-means clustering and baseline TyG-BMI was grouped based on quartiles. We used Cox proportional hazards models to evaluate the relationship between baseline quartiles of the TyG-BMI index and its variability with CVDs and their subtypes.ResultsAmong the 7,072 participants (mean age of 59.1 ± 9.3 years), 3330 (47%) were male. During an average follow-up of 7.1 years, 1,774 (25.1%) participants developed new-onset cardiovascular diseases. After stratification by baseline TyG-BMI quartiles, higher TyG-BMI levels were associated with an increased risk of CVDs, The hazard ratio (HR) and 95% confidence interval (95% CI) for the highest quartile group were 1.69 (1.44-2.00). After adjusting for potential confounding factors, compared to participants with consistently low TyG-BMI levels, those with moderate TyG-BMI levels and a slowly increasing trend had an HR of 1.27 (95% CI 1.10-1.47), while those with the highest TyG-BMI levels and a slowly decreasing trend had an HR of 1.52 (95% CI 1.26-1.83).ConclusionMaterial changes in the TyG-BMI are independently associated with the risk of CVDs in middle-aged and elderly individuals. Detecting long-term changes in the TyG-BMI may aid in the early identification of high-risk individuals and help prevent the occurrence of various cardiovascular diseases.

Estimating body size in the large carpenter bees (<i>Xylocopa</i>)

Body size is a salient functional trait in bees, with implications for reproductive fitness, pollination ecology, and responses to environmental change. Methods for quantifying bee body size commonly rely on indirect estimates and vary widely across studies, particularly in studies of the large carpenter bees (Xylocopa Latreille) (Apidae: Xylocopinini). We evaluate the robustness of three common body size parameters (intertegular distance, head width, and costal vein length) as predictors of dry body mass within and among 11 species of Xylocopa (and 5 subspecies). We found that all three size measurements provide robust body size estimates, accounting for 92–93% of intraspecific variation in body mass. Within species, however, these measurements were considerably less predictive of body mass, explaining on average only 36.8% (intertegular distance), 57.4% (head width), and 38.8% (costal vein length) of the variation in body mass. We also highlight a novel application of photogrammetry and 3D modeling to estimate surface area and volume across species, and comment on the utility of these methods for body size estimates in Xylocopa and in insects more broadly. These findings provide practical guidelines for body size estimation methods within and among carpenter bee species.

Chaotic oceanic excitation of low-frequency polar motion variability

Abstract. Studies of Earth rotation variations generally assume that changes in non-tidal oceanic angular momentum (OAM) manifest the ocean's direct response to atmospheric forces. However, fluctuations in OAM may also arise from chaotic intrinsic ocean processes that originate in local nonlinear (e.g., mesoscale) dynamics and can map into motions and mass variations at basin scales. To examine whether such random mass redistributions effectively excite polar motion, we compute monthly OAM anomalies from a 50-member ensemble of eddy-permitting global ocean/sea ice simulations that sample intrinsic variability through a perturbation approach on model initial conditions. The resulting OAM (i.e., excitation) functions, χ^O, are examined for their spread, spectral content, and role in the polar motion excitation budget from 1995 to 2015. We find that intrinsic χ^O signals are comparable in magnitude to the forced component at all resolved periods except the seasonal band, amounting to ∼ 46 % of the total oceanic excitation (in terms of standard deviation) on interannual timescales. More than half of the variance in the intrinsic mass term contribution to χ^O is associated with a single global mode of random bottom pressure variability, likely generated by nonlinear dynamics in the Drake Passage. Comparisons of observed interannual polar motion excitation against the sum of known surficial mass redistribution effects are sensitive to the representation of intrinsic χ^O signals: reductions in the observed excitation variance can be as high as 68 % or as low as 50 % depending on the choice of the ensemble member. Chaotic oceanic excitation thus emerges as a new factor to consider when interpreting low-frequency polar motion changes in terms of core–mantle interactions or employing forward-modeled OAM estimates for Earth rotation predictions.

Modelling the effect of base component properties and processing conditions on mixture products using probabilistic, knowledge-guided neural networks

Development of materials by mixing different base components is a widespread methodology to create materials with improved properties compared to those of its base components. However, efficient determination of the properties of mixture-based materials during design remains challenging without prior knowledge of the underlying physical phenomena. In this work a new data-based methodology is proposed involving the use of probabilistic, knowledge-guided artificial neural networks to jointly model the properties of the base components, the proportions in which they are mixed and the processing conditions used during manufacture to predict properties of final products. The method proposed does not involve any assumptions in terms of ideal mixing rules of the base components, and allows for estimation of aleatoric uncertainty in the prediction. Additionally, an extension is presented that incorporates expert knowledge into the model by the implementation of monotonicity constraints between certain inputs and outputs. The methodology is illustrated with a case study involving the formulation of drug products using direct compression. The model is used to predict pharmaceutical tablets’ quality attributes (mass variation, tensile strength, disintegration time, friability and ejection force), showing that the method is able to predict properties of the final product overcoming gaps currently present in previous modelling approaches.

Automated extrusion-based dispensing: Personalized dosing and quality control of clopidogrel tablets for pediatric care.

The exploration of three-dimensional (3D) printing inspired technologies in pharmaceutical compounding reveals a promising frontier in personalized medicine manufacture. This study focuses on the development of clopidogrel bisulphate tablets, with doses ranging from 2 mg to 20 mg per tablet, suitable for pediatric use. The study explored a semi-solid extrusion-based deposition technology already being used in compounding pharmacies across several European locations. The investigation explored various properties of two formulations of 1 % and 2 % clopidogrel gel tablets, with a specific focus on mass variation, drug content uniformity, in vitro drug release profiles, disintegration time, and stability. The mean weights of the smallest printed 200 mg tablets with 1 % and 2 % clopidogrel concentrations were 199.1 ± 4.6 mg and 201.0 ± 3.2 mg, respectively. For the largest printed 500 mg tablets with 1 % and 2 % concentrations, the mean weights were 499.3 ± 7.7 mg and 501.7 ± 6.5 mg, respectively. The mean clopidogrel content uniformity for 1 % clopidogrel 200 mg and 500 mg tablets were 102.0 ± 1.8 %and 96.6 ± 2.6 %, respectively, and for 2 % clopidogrel 200 mg and 500 mg were 102.6 ± 3.9 % and 101.2 ± 1.6 %, respectively, well within the acceptable acceptance value (AV) range of 3 to 12. Both 1 % and 2 % formulations of clopidogrel tablets exhibited rapid drug release, meeting the USP pharmacopeial target of 85 % release in 15 min. All tablet sizes formulated at 1 % and 2 % concentrations met specified disintegration specifications. The stability assessment over three months revealed consistent pH values and assay results within target specifications for both clopidogrel formulations (93.5 % for 1 % formulation and 93.6 % for 2 % formulation). At three months, X-ray Diffraction (XRD) and Fourier Transform Infrared Spectroscopy (FTIR) results demonstrated stability in clopidogrel tablets. In conclusion, a comprehensive evaluation of our developed clopidogrel tablets demonstrate their suitability for clinical use in an extemporaneous setting using the presented semi-solid extrusion-based automation technology.

Short‐Period Mass Variations and the Next Generation Gravity Mission

Short‐Period Mass Variations and the Next Generation Gravity Mission

Asymptomatic neck mass and normal variations of the thymus in children: A report of two cases from a tertiary hospital in Riyadh, Saudi Arabia

The pathogenesis of cervical extension of the thymus has been postulated to be incomplete descent of the thymus in the midline of the neck, which is considered normal in children. The thymus normally extends to the neck in approximately two-thirds of children. Ectopic thymus mainly occurs in 1%–13% of the younger population. In this study, we report two cases of asymptomatic neck swelling, one due to cervical extension of the thymus and the other due to a right submandibular ectopic thymus. None of the patients required any intervention. Recurrent suprasternal swelling in children that becomes more pronounced during coughing/crying or Valsalva maneuvers can be more accurately diagnosed using neck ultrasonography and/or magnetic resonance imaging.

Dimer Is Not Double: The Unexpected Behavior of Two-Floor Peptide Nanosponge.

Using the framework of an investigation of the stimuli-responsive behavior of peptide assembly on a solid surface, this study on the behavior of a chemisorbed peptide on a gold surface was performed. The studied peptide is a dimeric form of the antimicrobial peptide Trichogin GAIV, which was also modified by substituting the glycine with lysine residues, while the N-terminus octanoyl group was replaced by a lipoic one that was able to bind to the gold surface. In this way, a chemically linked peptide assembly that is pH-responsive was obtained because of the protonation/deprotonation of the sidechains of the Lys residues. Information about the effect of protonation/deprotonation equilibria switching the pH from acid (pH = 3) to basic (pH = 11) conditions was obtained macroscopically by performing Quartz crystal microbalance with dissipation monitoring (QCM-D), Surface Plasmon Resonance (SPR), Nanoplasmonic Sensing (NPS), and FTIR techniques. Using molecular dynamics (MD) simulations, it is possible to explain, at the molecular level, our main experimental results: (1) pH changes induce a squeezing behavior in the system, consisting in thickness and mass variations in the peptide layer, which are mainly due to the pH-driven hydrophilic/hydrophobic character of the lysine residues, and (2) the observed hysteresis is due to small conformational rearrangements from helix to beta sheets occurring mainly on the first half of the peptide, closer to the surface, while the second half remains almost unaffected. The latter result, together with the evidence that the layer thickness is not simply double the assembly of the monomeric analog, indicates that the dimeric peptide does not behave as a double monomer, but assumes very peculiar features.

Polyaxial Stress-Dependent Tensorial Permeability Variations of a Columnar Jointed Rock Mass: Insights from 3D Distinct Element Method

AbstractStress-induced permeability changes in geological formations have implications for various geo-engineering applications. Fractures are the predominant fluid flow pathways within tight geological formations such as jointed basaltic rock mass. Three-dimensional permeability variations of a columnar jointed rock mass using the three-dimensional block distinct element method are investigated. First, a permeability tensor is constructed by simulating fluid flow through joint sets using cubic law and determining its principal components through eigenvector analysis. Subsequently, numerical simulations are conducted to gain insights into the impact of principal stresses on joint deformation and fluid flow. Joint deformation is controlled by the joint’s mechanical properties, contact models, and stress state. Different isotropic and anisotropic stress loading scenarios on the permeability tensor evolution are investigated. The research findings indicate that isotropic stress loading led to uniform normal compression on fractures, resulting in a monotonic reduction of all permeability tensor components and increased permeability anisotropy. Anisotropic stress loading, particularly the intermediate stress, often neglected, significantly influenced the rock’s overall permeability. While the directions of the principal components remained consistent during isotropic loading, they exhibited changes in both direction and magnitude during anisotropic loading. The relative angle between the joint plane and the principal stresses was crucial in controlling joint behavior, including normal compression, shear failure, and dilation. Additionally, data analysis revealed that the exponential empirical model provided an excellent fit for permeability–stress data.

Evaluating the Association Between Vastus Medialis Oblique Characteristics and Patellar Instability: A Comprehensive Case-Control Study.

The contribution of vastus medialis oblique muscle (VMO) weakness or dysfunction to patellofemoral pain syndrome is well recognized, yet its role in lateral patellar instability and recurrent patellar dislocations remains unclear. This study investigates the association between VMO characteristics and patellar instability. Altered VMO structure, characterized by differences in muscle elevation and cross-sectional area (CSA), is associated with patellar instability. A case-control study. Level 3. The study included 204 participants, matched on a 1:1 ratio by age and sex, from a local hospital registry from 2005 to 2020. VMO measurements were taken via magnetic resonance imaging, and included muscle elevation, CSA, fiber angulation, and CSA-to-thigh circumference ratio. Univariate analysis, and multivariable regression model with adjustment for potential confounders were constructed. In addition, a secondary analysis was performed to evaluate the variations in VMO characteristics and mass across primary and recurrent patellar instability groups. Patients with patellar instability demonstrated significant differences in VMO characteristics compared with controls, including increased muscle elevation (13 mm vs 5.9 mm; P < 0.01), increased muscle fiber angulation (42.5° vs 35.3°; P < 0.01), reduced CSA (716 mm2 vs 902 mm2; P < 0.01), and a lower CSA-to-thigh circumference ratio (0.05 vs 0.07; P < 0.01). These findings remained significant in the multivariable adjusted model. Moreover, the secondary analysis revealed that both primary and recurrent instability patients had similar VMO characteristics alterations compared with controls, with slightly more pronounced reductions in VMO CSA in those sustaining recurrent instability episodes. This study confirms a statistically significant association between altered VMO characteristics and patellar instability, emphasizing the importance of considering VMO characteristics in the evaluation and management of patients with patellar instability.

Clade Size Statistics Under Ford’s α-Model

Given a labeled tree topology t of n taxa, consider a population P of k leaves chosen among those of t. The clade of P is the minimal subtree P^ of t containing P, and its size |P^| is provided by the number of leaves in the clade. We study distributive properties of the clade size variable |P^| considered over labeled topologies of size n generated at random in the framework of Ford’s α-model. Under this model, starting from the one-taxon labeled topology, a random labeled topology is produced iteratively by a sequence of α-insertions, each of which adds a pendant edge to either a pendant or internal edge of a labeled topology, with a probability that depends on the parameter α∈[0,1]. Different values of α determine different probability distributions over the set of labeled topologies of given size n, with the special cases α=0 and α=1/2 respectively corresponding to the Yule and uniform distributions. In the first part of the manuscript, we consider a labeled topology t of size n generated by a sequence of random α-insertions starting from a fixed labeled topology t∗ of given size k, and determine the probability mass function, mean, and variance of the clade size |P^| in t when P is chosen as the set of leaves of t inherited from t∗. In the second part of the paper, we calculate the probability that a set P of k leaves chosen at random in a Ford-distributed labeled topology of size n is monophyletic, that is, the probability that |P^|=k. Our investigations extend previous results on clade size statistics obtained for Yule and uniformly distributed labeled topologies.

GRACE gravity analysis exploring climatic influences on mass changes in the Antarctic Peninsula

Abstract. Antarctic ice-mass balance is key to project sea-level changes, to assess future shifts in the global water cycle and ocean circulation, and to predict the fate of the White Continent. The ice mass of the Antarctic Peninsula is sensitive to the atmospheric and ocean circulation. The geographical conditions pose a challenge for modelling surface mass balance in this area. We use GRACE and GRACE Follow-On satellite gravimetry to derive a mass variation time series for the Antarctic peninsula region 2002–2024. We investigate whether these mass variations correlate with a surface mass balance model or with global climate indexes. Our analysis indicates a mass loss over two decades, mainly due to a period of enhanced mass-loss rate between 2007 and 2015. Our results suggest that interannual mass variations are primarily controlled by the surface mass balance which is influenced by the El Niño-Southern Oscillation phenomenon.

Contribution of the GRACE Satellite Mission to Mapping Water Mass Variations in River Basins

Abstract. In the context of climate change, there is a need to understand the dynamics and temporal fluctuations of continental water. Such knowledge is essential for the development of more effective and sustainable management strategies for this indispensable resource. The Earth's gravitational field is not constant but varies over time due to factors such as mass redistribution during the hydrological cycle. The GRACE satellite mission (Gravity Recovery and Climate Experiment) provides valuable information about the geodynamic behaviour of our planet by estimating variations in the continental water storage from the temporal changes in the Earth’s gravity field.The aim of this work is to demonstrate the contribution of satellite gravimetry to identify patterns of variation in continental water masses within large river basins. For this purpose, a regional study of the TWS (Total Water Storage) derived from GRACE was carried out, focusing on the spatial and temporal changes detected in the La Plata Basin in South America. The periods with the most extreme variations between 2019 and 2023 were analyzed, and the TWS was compared with satellite precipitation data, to subsequently relate them to ENSO events that occurred in the region. The results show that GRACE detected the significant changes in water storage, highlighting in particular the severe drought that occurred in this basin in 2022.

Impact of silica nanoparticles incorporation on the properties of resin infiltration: an in vitro study

BackgroundThis study evaluated the effect of nano-silica (NS) incorporation with resin infiltrant on water sorption and solubility of resin infiltrant, mineral density of demineralized enamel, and resin tags penetration.MethodsNS (Sigma-Aldrich, St Louis, Missouri, USA) was added into the resin infiltrant (ICON, DMG, Hamburg, Germany) at two concentrations by weight. The tested groups were: ICON (control), ICON + 0.2, and ICON + 0.5 (n = 10 per group). Water sorption and solubility were assessed using mass variation after 60 days water storage. Mineral density and surface topography were assessed using micro-Computed Tomography scans. Resin tags penetration was measured using a scanning electron microscope. Data were analyzed using one-way Analysis of Variance and Tukey’s post-hoc tests (P < .05).ResultsICON revealed the highest water sorption, solubility mean values (28.90, 7.61) followed by ICON + 0.2 (14.80, 4.82) and ICON + 0.5 (12.32, 0.81) respectively, and vice versa for resin tags penetration. Mineral density of demineralized enamel significantly increased after treatment with ICON + 0.2 and ICON + 0.5.ConclusionIncorporation of NS to resin infiltrant decreased its water sorption and solubility along with enhancing the mineral density of the demineralized enamel and the penetration of resin tags.