Limit Of Deviation Research Articles

The Impact of Fat Contents and Different Cooking Processes on the Potential Health Concerns of Polycyclic Aromatic Hydrocarbons in Chicken Doner Kebabs

This study investigated the effects of different fat contents and cooking techniques on the presence of PAHs in chicken doner kebabs, as well as the dietary exposure and potential health risks for the Turkish population. The methodology for the detection and quantification of 16 PAH compounds in chicken doner samples using high-performance liquid chromatography (HPLC-UV) was validated. The limit of detection (LOD), quantification (LOQ), recovery, and relative standard deviation (RSD) were found to be 0.44%–1.14%, 1.45%–3.56%, 63.12%–101.50%, and 0.14%–3.16%, respectively. Our findings revealed that, among the analyzed compounds, BaA was the most dominant PAH compound, and that the charcoal cooking technique resulted in the highest accumulation of both BaP and PAH4 concentrations in chicken doner kebabs. Additionally, a significant increase in PAH levels was observed in relation to higher fat content. Moreover, it was found that the estimated daily intake (EDI) of BaP and PAH4 was higher in charcoal-grilled, well-done, high-fat chicken doner samples. As a result, the fact that the Margin of Exposure (MOE) values calculated for chicken doner samples across the Turkish population are above 10,000 indicates a low level of concern.

Convergence to the Asymptotic Large Deviation Limit.

Large deviation theory offers a powerful and general statistical framework to study the asymptotic dynamical properties of rare events. The application of the formalism to concrete experimental situations is, however, often restricted by finite statistics. Data might not suffice to reach the asymptotic regime or judge whether large deviation estimators converge at all. We here experimentally study the large deviation properties of the stochastic work and heat of a levitated nanoparticle subjected to nonequilibrium feedback control. This setting allows us to determine for each quantity the convergence domain of the large deviation estimators using a criterion that does not require the knowledge of the probability distribution. By extracting both the asymptotic exponential decay and the subexponential prefactors, we demonstrate that singular prefactors significantly restrict the convergence characteristics close to the singularity. Our results provide unique insight into the approach to the asymptotic large deviation limit and underscore the pivotal role of singular prefactors.

Quantification of Zr in simulated dissolver solution of U–Zr fuel by laser-induced breakdown spectroscopy

Abstract Estimation of Zr in fresh and irradiated metal alloy fuel is important. The homogeneous dissolver solution represents the fuel composition better compared to a highly heterogeneous solid pellet. The present study employs LIBS to determine Zr in the simulated dissolver solution. Four different compositions of U–Zr samples where the Zr/U ratio varies from 0.04 to 0.18 % are analyzed by LIBS with an in-house designed liquid sample cell. A good correlation coefficient is achieved for the measurements in the calibration plot. The results for identifying non-overlapping peaks, calibration plot, precision, deviation, and detection limit are discussed in detail. Two set of solid samples, an oxide pellet and metal alloy with similar Zr/U composition, are also analyzed by LIBS. The results obtained from these three set of samples are inter-compared, and the reason for getting a better Zr/U intensity ratio for a dried coating of sample on aluminium for a given composition is explained.

Determination of resistance at zero and infinite frequencies in bioimpedance spectroscopy for assessment of body composition in babies

Objective. Bioimpedance spectroscopy (BIS) is a popular technique for the assessment of body composition in children and adults but has not found extensive use in babies and infants. This due primarily to technical difficulties of measurement in these groups. Although improvements in data modelling have, in part, mitigated this issue, the problem continues to yield unacceptably high rates of poor quality data. This study investigated an alternative data modelling procedure obviating issues associated with BIS measurements in babies and infants. Approach. BIS data are conventionally analysed according to the Cole model describing the impedance response of body tissues to an applied AC current. This approach is susceptible to errors due to capacitive leakage errors of measurement at high frequency. The alternative is to model BIS data based on the resistance–frequency spectrum rather than the reactance-resistance Cole model thereby avoiding capacitive error impacts upon reactance measurements. Main results. The resistance–frequency approach allowed analysis of 100% of data files obtained from BIS measurements in 72 babies compared to 87% successful analyses with the Cole model. Resistance–frequency modelling error (percentage standard error of the estimate) was half that of the Cole method. Estimated resistances at zero and infinite frequency were used to predict body composition. Resistance-based prediction of fat-free mass (FFM) exhibited a 30% improvement in the two-standard deviation limits of agreement with reference FFM measured by air displacement plethysmography when compared to Cole model-based predictions. Significance. This study has demonstrated improvement in the analysis of BIS data based on the resistance frequency response rather than conventional Cole modelling. This approach is recommended for use where BIS data are compromised by high frequency capacitive leakage errors such as those obtained in babies and infants.

Modification of cellulose substrate by in situ synthesis of metal-organic framework-5 for thin film microextraction of some non-steroidal anti-inflammatory drugs and their measurement by high-performance liquid chromatography-ultraviolet detector

This work, reports the successful preparation a thin film by a simple and inexpensive process for quantification of a model analytes in the urine sample using HPLC-UV. To this end, cellulose paper was employed as a substrate for the in-situ synthesis of MOF-5, to increase the resistance of the prepared film. The prepared film can be reused 26 times with no reduction in its performance. The thin film prepared by MOF-5 modified cellulose substrate was utilized in thin film microextraction (TFME) method for the extraction and preconcentration of naproxen, aspirin, tolmetin, and celecoxib. Under optimal conditions, the linear dynamic range of the target analytes was 2–500 µg L−1 with correlation coefficients (R2) ranging from 0.9961 to 0.9990. Also, the limits of detection (LODs), the limits of quantification (LOQs) and relative standard deviation (RSD%) of the proposed method for selected analytes ranged between 0.57 and 0.77 µg L−1, 1.7 to 2.3 and 3.5 % to 6.2 %, respectively. Moreover, relative recoveries varied from of 94 % to 108 %, indicating the absence of matrices effect in the proposed method. Eventually, the TFME was successfully used for the extraction of selected analytes from urine samples.

Measuring the Development Progress of Least Developed Countries: In the Context of World Development

ABSTRACT This article measures the ten-year development progress of 47 least developed countries (LDCs) based on comparing the development performances of 217 countries and economies. A methodology based on the theory of statistical process control is used to evaluate development performances in three dimensions: per capita income, life expectancy, and education. This methodology uses a pair of average and standard deviation charts to measure each LDC’s degree of growth and stability of growth in each dimension of development, and uses the three standard deviation limits in each chart to identify exceptional development performances that are outside the upper or lower limit. This article has three key findings on the exceptional development performances of LDCs in the context of world development over 2010–2019: (1) Seventeen LDCs achieved exceptionally high increases in life expectancy; (2) one LDC achieved exceptionally high growth in per capita income, but two LDCs had exceptionally low performances in the growth of per capita income; and (3) six LDCs experienced exceptionally unstable growth of per capita income. These findings shed some light on the future development priorities for LDCs. The reliability of analysis is also discussed.

Oppositional based artificial rabbits optimization applied for optimal allocation of nonlinear DG in distribution networks considering total harmonic distortion limit

This paper proposes a new optimization approach to identify the optimal placement and sizes of distributed generation (DG) units in a radial distribution network (RDN). Inverter-based DG also known as nonlinear DG (NLDG) units inject nonlinear current into the system, which can cause harmonic distortion. This harmonic distortion can limit the penetration of DG in the system by affecting the stability and reliability of the power system. Therefore, it is essential to consider harmonic distortion when identifying the optimal placement and sizes of DG units in RDNs to ensure DG’s safe and effective integration into the power system. The aim of the proposed work is to minimize real power loss, voltage deviation (VD), and total harmonic distortion limit (THD), and improve the voltage stability index (VSI) by integrating the search strategies of opposition-based learning and artificial rabbits optimization (ARO) to achieve better performance. The proposed algorithm, called opposition-based artificial rabbits optimization (OARO), considers different types of DG units like DG TYPE I and DG TYPE III and is suggested for two familiar RDNs: IEEE 33-bus, and 118-bus systems. The Pareto optimality concept has been introduced to solve the multi-objective problems of the systems. The simulation outcomes have been analyzed by comparing several optimization techniques in various cases. OARO has been shown to produce high-quality results with minimal iterations, reducing the time needed to solve the issue and conserving energy. Overall, the proposed approach offers a promising solution for identifying DG units’ optimal placement and sizes in RDNs while considering various operating scenarios.

Simultaneous determination of bromoxynil and MCPA in commercial samples and raw materials using reversed phase high performance liquid chromatography

This study encompasses a quick, efficient, repeatable and reproducible analytical method for simultaneous determination of Bromoxynil (3, 5-Dibromo-4-hydroxybenzonitrile) and MCPA (2-methyl-4-chlorophenoxyacetic acid) using RP-HPLC with UV-Detector. Bromoxynil + MCPA is one of the most selective post emergent herbicide formulations for the control of important broad leaf weeds infesting small grains (wheat, barley, oats, rye), conservation reserve program areas and grass grown for seed. Optimum weed control is achieved when Bromoxynil + MCPA is applied to actively growing weed seedlings. So, a simple, repeatable, reproducible and efficient simultaneous analytical method was developed for Bromoxynil + MCPA. The developed method was applied for the detection and quantitation of these pesticides in formulations and raw materials with excellent recoveries. It was validated according to ICH Guidelines with excellent linearity R2 = 0.992 for Bromoxynil and 0.998 for MCPA. For Bromoxynil, LOD = 1.57 mg/L and LOQ = 5.22 mg/L while for MCPA the LOD = 1.08 mg/L and LOQ = 3.62 mg/L was found. The proposed method has shown high precision (RSD %) 0.06% and 0.11% for Bromoxynil and MCPA respectively while the trueness has been calculated in terms of recovery percentage obtained as “mean value of Bromoxynil 99.53% and MCPA 100.10%” which is excellent under optimized conditions. For repeatability and reproducibility, five replicate readings of standard and sample were taken and had found within acceptable limits of relative standard deviation (RSD ≤ ± 2%). Finally, the robustness of the developed method was determined by changing flow rate and mobile phase ratios that has found within the permissible limits (% RSD NMT 1.5). So, the proposed analytical method has found to be more precise, valid and accurate at commercial scale.Graphical

Thermal design limits for flow boiling of R-134a in large mini/micro-channel heat sinks with wall temperature deviation restriction

Prior studies reported in miniature two-phase mini/micro-channel heat sinks were mainly attentive to determining the heat transfer coefficient, pressure drop, and critical heat flux during flow boiling. The current study addresses heat transfer attributes and operating limits for large heat sinks with longer mini/micro-channels. Thermal design limits for two-phase saturated flow boiling with R-134a as the working fluid are investigated for various dimensions of the micro-channel's geometric parameters in the heat sink. It was observed that for low volumetric flow rates, the heat flux limit was associated with the dryout incipience limit, regardless of the channel hydraulic diameter. The design limit for higher volumetric flow rates was related to the critical flow limit. On the way to limit the temperature within the heat sink to the desired value, the wall temperature deviation limit becomes a more critical design factor in setting the heat flux limit than the critical flow and dryout incipience design limits. When the temperature uniformity corresponding to the large mini/micro-channel heat sink is required precisely, the heat flux limit becomes more and more constrained, and the permissible design limit decreases.

DEVELOPMENT OF THE FUNCTIONAL AND TECHNOLOGICAL RELIABILITY ASSESSMENT MODEL OF CONSTRUCTION PROJECT EXECUTORS

The article defines the features of the development of software products for the needs of modernization of construction organization processes. The theory of entropy processes in organizational functional systems received further development, on the basis of which information flows in hierarchical systems were investigated. As a result, a model for assessing the functional-technological reliability of construction project executors in the information space of the SADT methodology (English structured analysis and design technique) - structural analysis and design as a set of methods, rules and procedures intended for building a functional model of the object of the subject area of research is proposed . The reliability of the organizational system is determined by the probability that at an arbitrary moment in time the values of the controlled parameters do not exceed the limits of permissible deviations. The work established a functional relationship between organizational and technological reliability (OTR), the required level of reliability of achieving the final result and the intensity of failures in the system and, accordingly, the regime of managerial influences. This makes it possible to quantify the parameters of the production process management, which ensure the reliability of the final result is higher than the initial OTR. Approaches to the development of a graph-analytical model of the development of a construction project as an information base for the development of alternative solutions are substantiated. A system of coefficients is proposed, with the help of which, on the basis of a graph-analytical model, the possibilities of achieving previously set goals and the range of necessary changes in controlled parameters are determined. In order to maintain the construction project management system within the limits of the given reliability, the mode of control over the real progress of the process is formally calculated. The theory of organizational and technological reliability has been developed in the field of development of methodical approaches for forecasting the dynamics of the inconsistency of parametric control indicators in the case of complex organizational and technological interrelationship of works. The influence of reliability parameters on the choice of operational and perspective management mode is substantiated, which will further allow to develop a model for assessing the organizational and management feasibility of the construction work program based on the rationalization of the system and management modes.

Novel Fluorescent Determination of Silver Ion in Water Samples Using the Schiff Base 1-Benzylidenethiosemicarbazide

A new selective and highly sensitive chemosensor based on the Schiff base 1-benzylidenethiosemicarbazide (KH1) was synthesized and applied for the Ag+ sensor in 4:1 dimethyl sulfoxide-water. Upon addition of Ag+, the fluorescence intensity of KH1was increased at 350 nm. The 1:1 stoichiometry of KH1 with Ag+ was confirmed by a spectrofluorimetric titration and a Job’s plot measurement. Parameters affecting the sensitivity such as pH, reaction time, ionic strength, and Schiff base concentration were optimized. Under the optimum conditions, KH1 gave a wide range of linearity from 1 to 110 µM and the limit of detection and relative standard deviation were 0.2 µM and 2.2%, respectively. In addition, the KH1 sensor was used to determine Ag+ in water samples with good precision and accuracy.

Comparative analysis of deviation in high buildings based on earthquake load SNI 1726:2012 and SNI 1726:2019

In 2019 the National Standardization Agency (BSN) issued the latest Indonesian National Standard (SNI), namely SNI 1726:2019 concerning Procedures for Planning Earthquake Resistance for Building Structures and No Buildings. SNI 1726:2019 is a revision of SNI 1726:2012. The purpose of this study was to determine the percentage of displacement ratio in tall buildings between using SNI for Planning Procedures for Earthquake Resistance for Building Structures and Building Structures SNI 1726:2012 and SNI 1726:2019. The method used in this research is data analysis using numerical methods. Data analysis by analyzing steel building structures and modeling steel building designs using SAP2000. The results of the analysis show that the comparison of drift between floors in buildings using SNI 2012 and SNI 2019 is not very significant and is still within the allowable deviation limits.

Large deviation and central limit theorems for sequential and random Lasota–Yorke convex maps

Large deviation and central limit theorems for sequential and random Lasota–Yorke convex maps

BIOMETRIC PARAMETERS OF SAFFLOWER (CARTHAMUS TINCTORIUS L.) UNDER THE INFLUENCE ON SEEDING RATE AND ROW SPACING

The aim of the present work was to establish the peculiarities of the formation of biometric parameters of safflower varieties depending on the influence of the elements of cultivation technology – the seeding rate and the row spacing in the conditions of the Right Bank Forest Steppe of Ukraine. Methods. This study was conducted in the field of the Agronomic Research Station of the National University of Life and Environmental Sciences of Ukraine in the years 2021-2023 on typical low-humus soils. The scheme of the three-factor field experiment was made to study the influence of the following factors: factor A – varieties “Dobrynia” and “Soniachnyi”, factor B – row spacing: 19, 38 and 57 cm, factor C – seeding rate: 100, 200 and 300 thousand seeds/ha. Results. It is established that the row spacing of 19 cm and a seeding rate of 300 thousand seeds/ha contributed to the formation of a better height of safflower plants than on the variants with a row spacing of 38 and 57 cm, while the plants did not overgrow under such conditions. It was investigated that the number of heads was higher in both varieties with the row spacing of 38 cm, at the same time the average number of heads of the variety “Dobrynia” was made 20,2-22,2, and of the variety “Soniachnyi” – 19,2-22,1. The mass of 1000 seeds was higher with a row spacing of 57 cm, and for “Dodrynia” variety in average it was made 47,7 g, for “Soniachnyi” variety – 49,2 g. For “Dobrynia” variety the number of seeds per plant under the seeding rate of 100 thousand seeds/ha and row spacing of 19 cm was made 450,9 and for “Sonyachnyi” variety the number of seeds per plant under the seeding rate of 100 thousand seeds/ha and row spacing of 38 cm was made 455,4. On the same variants of the experiment, the seed weight per plant was made 20,6 and 21,1 g/plant, which corresponded to the best indicators in context of the variants. Conclusions. It has been studied that the formation of plant height, the number of heads and the mass of 1000 seeds is influenced by the row spacing in the range of 53.2-68.9%, and varietal peculiarities determine the limits of deviations of the characteristics by 13-29.8%. At the same time, the seeding rate had a slight effect on the studied indicators. In contrast to these characteristics, the number of seeds per plant and the weight of seeds per plant significantly depend on the seeding rate of safflower (at the level of 71.3-78.7%), while the row spacing affects only 14.6-22.6 %, and the variety has no significant effect on these parameters.

Determination of copper ion at trace levels in apple tea samples by simultaneous complexation and spray assisted microextraction method prior to detection by flame atomic absorption spectrophotometry

In the present study, a green and sensitive analytical method for the determination of copper ion at trace levels in apple tea samples was developed. Simultaneous complexation/extraction of the analyte were achieved by spraying-based fine droplet formation liquid-phase microextraction (SFDF-LPME). Copper ion was complexed with a Schiff base chelating agent called as N,N′-Bis(salicylidene)-1,2-phenylenediamine (BSP). Under the optimum conditions, the developed SFDF-LPME-FAAS and FAAS system were assessed with respect to limit of detection (LOD), limit of quantitation (LOQ), linearity and percent relative standard deviation (%RSD). LOD and LOQ values for SFDF-LPME-FAAS method were found to be 6.0 and 19.9 µg/kg, respectively. Enhancement in calibration sensitivity for developed method was found as 23 folds. In addition, accuracy/suitability of the developed SFDF-LPME-FAAS method were confirmed by spiking experiments. Two different apple tea samples were spiked to different concentration values and percent recovery results from 91.1 and 123.8 % proved the accuracy/suitability of the method.

Development of Fluorescent Co (II)-Integrated Carbon Dots and Their Application as a Off-On Mesotrione Detection Sensor.

A very simple mesotrione-sensing medium with enhanced sensitivity detection limits has been proposed. A renovated hydrothermal method was adopted for synthesizing fluorescent carbon dots from ethylenediamine and glucose using a Teflon-lined simple autoclave in a GC oven. The resultant carbon dots were characterized via TEM, FTIR, UV-vis, particle size distribution, and EDX and evaluated in a fluorimeter as the sensing medium for mesotrione detection. The binding approach of the Co (II)-integrated glucose-bound carbon dots toward mesotrione is selective, making them an effective sensor for the real sample applications, where majority of the coexisting substances showed insignificant interference effect. Formation of the metastable state due to the molecular interaction between carbon dots and Co (II) resulted in fluorescence quenching at 456 nm. Enhancement in the fluorescence intensity occurred when mesotrione was added in the concentration range of 0.2-5.0 μg mL-1, with a limit of detection, limit of quantification, standard deviation, and relative standard deviation of 0.054, 0.164, 0.00082 μg mL-1, and 0.682%, respectively. Mesotrione determination was demonstrated in soil, water, and tomato samples with recoveries in the range of 95.38-104.7%. The selectivity of the sensor was found to be good enough when checked for the complex tomato sample spiked with different pesticides of the triketone family having structural similarities to mesotrione.

Angiography-based coronary microvascular assessment with and without intracoronary pressure measurements: a systematic review.

In recent years, several indices have been proposed for quantifying coronary microvascular resistance. We intended to conduct a comprehensive review that systematically evaluates indices of microvascular resistance derived from angiography. The objective of this study was to identify and analyze angiography-derived indices of microvascular resistance that have been validated against an invasive reference method. We aimed to compare their limits of agreement with their reference methods and explore their advantages and inherent limitations. We searched PubMed from inception until 2022 for studies on different techniques for quantifying microvascular resistance. Seven studies met the inclusion criteria. Five studies included techniques that applied calculations based solely on invasive angiography, and were validated against invasively measured thermodilution-derived index of microvascular resistance. The remaining two studies combined angiography with invasively measured intracoronary pressure data, and were validated against invasive Doppler measurements. We converted the ± 1.96 standard deviation limits of agreement with the reference method from the seven studies into percentages relative to the cut-off value of the reference method. The lower limits of agreement for angiography-based methods ranged from - 122 to - 60%, while the upper limits ranged from 74 to 135%. The range of the limits of agreement was considerably lower for the two combined angiography- and pressure-based methods, standing at - 52 to 60% and - 25 to 27%. Our findings suggest that combined angiography- and pressure-based methods provide a more reliable assessment of microvascular resistance compared to methods relying solely on angiography. Central illustration. Comparative assessment of image-based methods quantifying microvascular resistance with and without intracoronary pressure measurements. Angiography-based methods rely on angiography alone to calculate the microvascular resistance by utilizing angiographic frame counting to extrapolate coronary flow (Q) and subsequently deriving distal coronary pressure using fluid dynamic equations. Combined angiography- and pressure-based methods utilize invasive intracoronary pressure gradients measured during rest and maximal vasodilation to determine coronary flow in their calculation of microvascular resistance. The combined methods showed more acceptable levels of agreement with their reference methods compared to angiography-based methods alone.

Large deviation limits of invariant measures

This paper is concerned with the general theme of relating the Large Deviation Principle (LDP) for the invariant measures of stochastic processes to the associated trajectorial LDP. It is shown that if the trajectorial deviation function has certain structure and if the invariant measures are exponentially tight, then the LDP for the invariant measures is implied by the trajectorial LDP, no other properties of the stochastic processes in question being material. As an application, we obtain an LDP for the stationary distributions of jump diffusions. Methods of large deviation convergence and idempotent probability play an integral part.

Development of the technology for a transdermal therapeutic system of the anti-inflammatory action

Aim. To develop the technology for manufacturing a transdermal therapeutic system of anti-inflammatory action in the laboratory and substantiate the choice of a support coating. Materials and methods. For the study, model samples of the transdermal patch were used; their main components were a dry extract of white willow bark, a dry extract of sage leaves, quercetin, PVP, eudragit, PEO-400 and isopropyl alcohol – up to 100.0, as well as a support coating – a polyethylene terephthalate film. Organoleptic and technological research methods were applied. Results and discussion. The rational technology of the laboratory production of an anti-inflammatory patch based on natural substances and the type of a support coating – a polyethylene terephthalate film with a thickness of 50 microns has been theoretically and experimentally substantiated. It has been found that the optimal mode of drying experimental patch samples is 50 °C, the drying time is 10 min. Keeping the samples in the thermostat for longer than 10 min, or at a temperature above 50 °C, leads to significant over-drying of the adhesive base, a film devoid of adhesive properties is formed, and it completely lags behind the polymer base. A flowchart for obtaining a patch has been developed, critical production parameters have been determined, and permissible deviation limits have been set. Conclusions. The technology for manufacturing of an anti-inflammatory patch based on natural substances has been developed in the laboratory. The optimal support coating for the patch has been selected, the optimal drying mode of the adhesive composition has been determined. The critical parameters of the technological process for obtaining a patch have been determined.

Three-dimensional evaluation of social smile asymmetry in patients with unilateral impacted maxillary canine: a 3D stereophotogrammetry study.

This study aimed to evaluate social smile asymmetry in patients with unilateral impacted maxillary canine on 3D stereophotogrammetric images. The 3D social smile images of participants with unilateral impacted maxillary canine (n:20) and without impaction as a control group (n:20) were included. The images were recorded with a hand-held 3D stereophotogrammetry device (Fuel3D® Scanify®) and Geomagic Essentials 2 reverse engineering software were used for analyses. After the orientation process of the 3D records, the tissues around the smile area were divided into five morphological regions: cheek, upper lip lateral and medial, and lower lip lateral and medial. The deviation margins in the negative and positive directions for the 95% mesh rate and the total percentages of meshes between - 0.5- and + 0.5-mm deviations were calculated. ICC, paired samples t test, independent samples t test, and the Mann-Whitney U test were used for statistical analyses. In individuals with impacted canine, the amount of maximum positive deviation in the upper lip medial was 5.64mm ± 1.46 and maximum negative deviation was - 4.6mm ± 1.17. In the control group, mean of deviation limits for all parameters was less than 1.19mm ± 2.62, while in individuals with unilateral impacted maxillary canine, the maximum value was 8.34mm ± 2.23. The mesh percentage between - 0.5 and 0.5-mm deviations was over 95% in all morphological areas in the control group, while in the impacted canine group, the number of meshes within the specified deviation limits was less than 95%. Individuals with unilateral impacted maxillary canine exhibit greater asymmetry in social smile compared to the control group, with the asymmetry being most prominent near the corners of the mouth and cheeks. Amount of asymmetry was higher in impaction group compared to the control group in social smile. The quantification of a possible smile asymmetry due to the impacted canine is crucial for the diagnosis and treatment planning of orthodontic and/or orthognathic cases for ideal aesthetic results. Hence, smile asymmetry should not be overlooked and should be considered in diagnosis and treatment planning.