Measure Of Deviation Research Articles

Diminished social motivation in early psychosis is associated with polygenic liability for low vitamin D

Insufficiency of vitamin D levels often occur in individuals with schizophrenia and first-episode psychosis (FEP). However, it is unknown whether this represents a biological predisposition, or it is essentially driven by illness-related alterations in lifestyle habits. Lower vitamin D has also been associated with adverse neurodevelopmental outcomes and predominant negative psychotic symptoms. This study aimed to investigate the contribution of polygenic risk score for circulating 25-hydroxyvitamin D concentration (PRS-vitD) to symptom presentation among individuals with FEP enrolled in the Athens First-Episode Psychosis Research Study (AthensFEP n = 205) and the Psychosis Incident Cohort Outcome Study (PICOS n = 123). The severity of psychopathology was evaluated using the Positive and Negative Syndrome Scale at baseline and follow-up assessments (AthensFEP: 4-weeks follow-up, PICOS: 1-year follow-up). Premorbid intelligence and adjustment domains were also examined as proxy measures of neurodevelopmental deviations. An inverse association between PRS-vitD and severity of negative symptoms, in particular lack of social motivation, was detected in the AthensFEP at baseline (adjusted R2 = 0.04, p < 0.001) and follow-up (adjusted R2 = 0.03, p < 0.01). The above observation was independently validated in PICOS at follow-up (adjusted R2 = 0.06, p < 0.01). No evidence emerged for a relationship between PRS-vitD and premorbid measures of intelligence and adjustment, likely not supporting an impact of lower PRS-vitD on developmental trajectories related to psychotic illness. These findings suggest that polygenic vulnerability to reduced vitamin D impairs motivation and social interaction in individuals with FEP, thereby interventions that encourage outdoor activities and social engagement in this patient group might attenuate enduring negative symptoms.

A note on the induction of comonotonic additive risk measures from acceptance sets

We demonstrate that an acceptance set generates a comonotonic additive risk measure if and only if the acceptance set and its complement are closed for convex combinations of comonotonic random variables. Furthermore, this equivalence extends to deviation measures.

Student Teachers’ Involvement in Internal Quality Assurance Processes and its Impact on 21st Century Skills in Tanzania Teacher Colleges

The study sought to evaluate the impact of student teachers’ involvement in Teacher Colleges’ quality assurance processes on 21st century skills in Tanzania. The study was guided by students’ involvement theory. The main was pragmatism paradigm and students’ involvement was adopted as a theoretical framework. Data were gathered through questionnaires and interviews. Results were presented in mean, standard deviation, and inferential statistic measures. The participants felt crucial for student teachers to be adequately involved in all the six quality assurance domains. This involvement positively and significantly predicted the development of the most of 21st century skills. The study concludes that urgent need to involve student teachers in internal quality assurance processes is an inevitable attempt for the development of 21st century skills required for their teaching profession. Other researchers may develop a scale to measure the 21st century skills among student teachers in Tanzanian context.

ОЦЕНКА ЭКОНОМИЧЕСКОЙ УСТОЙЧИВОСТИ ОРГАНИЗАЦИЙ СЕЛЬСКОГО ХОЗЯЙСТВА

Studying the issues of sustainability and efficiency of enterprises is becoming increasingly important in the light of the emergence of periodic crises in the development of our country's economic systems, the consequences of which are difficult to predict. An increase in the stability of business entities can be achieved by introducing methods for assessing the volatility of time series of various indicators of an enterprise's activity. This approach will allow you to quickly identify critical areas that the organization's management should pay special attention to. The concept of volatility is often used to analyze stock and currency markets in order to study the risks associated with fluctuations in the value of assets. However, there are very few studies on the application of volatility in other areas, such as the sustainability and efficiency of agricultural enterprises, which may indicate insufficient study of this aspect. We suggest using volatility as an indicator to assess the economic sustainability and effectiveness of an organization. It is proposed to use the methodological apparatus for assessing the volatility of time series as an assessment of the sustainability of performance indicators of agricultural organizations, where the standard deviation for the time series of the indicator under study will be taken as a measure of deviation. The article discusses various types of volatility of financial time series: historical, expected and historical expected volatility. The formulas of their calculation and features are considered. An example of calculating volatility for time series of cash flows of an agricultural organization is given. The variability of cash flows can serve as an indicator of the economic stability of an agricultural organization under the influence of the external environment. This paper discusses a variety of techniques for measuring the volatility of time series. One of the proposed approaches involves the use of this method to assess the sustainability of cash flows of agricultural enterprises. The variability of cash flows can be considered as an indicator of the stability of an organization under the influence of the external environment.

New immune phenotypes for treatment response in high-grade serous ovarian carcinoma patients.

Despite advances in surgical and therapeutic approaches, high-grade serous ovarian carcinoma (HGSOC) prognosis remains poor. Surgery is an indispensable component of therapeutic protocols, as removal of all visible tumor lesions (cytoreduction) profoundly improves the overall survival. Enhanced predictive tools for assessing cytoreduction are essential to optimize therapeutic precision. Patients' immune status broadly reflects the tumor cell biological behavior and the patient responses to disease and treatment. Serum cytokine profiling is a sensitive measure of immune adaption and deviation, yet its integration into treatment paradigms is underexplored. This study is part of the IMPACT trial (NCT03378297) and aimed to characterize immune responses before and during primary treatment for HGSOC to identify biomarkers for treatment selection and prognosis. Longitudinal serum samples from 22 patients were collected from diagnosis until response evaluation. Patients underwent primary cytoreductive surgery or neoadjuvant chemotherapy (NACT) based on laparoscopy scoring. Twenty-seven serum cytokines analyzed by Bio-Plex 200, revealed two immune phenotypes at diagnosis: Immune High with marked higher serum cytokine levels than Immune Low. The immune phenotypes reflected the laparoscopy scoring and allocation to surgical treatment. The five Immune High patients undergoing primary cytoreductive surgery exhibited immune mobilization and extended progression-free survival, compared to the Immune Low patients undergoing the same treatment. Both laparoscopy and cytoreductive surgery induced substantial and transient changes in serum cytokines, with upregulation of the inflammatory cytokine IL-6 and downregulation of the multifunctional cytokines IP-10, Eotaxin, IL-4, and IL-7. Over the study period, cytokine levels uniformly decreased in all patients, leading to the elimination of the initial immune phenotypes regardless of treatment choice. This study reveals distinct pre-treatment immune phenotypes in HGSOC patients that might be informative for treatment stratification and prognosis. This potential novel biomarker holds promise as a foundation for improved assessment of treatment responses in patients with HGSOC. ClinicalTrials.gov Identifier: NCT03378297.

Dorsal Scapholunate Ligament Complex Reconstruction Using Suture Tape-Augmented Autologous Free Tendon Graft for Chronic Scapholunate Dissociation.

The treatment of chronic scapholunate dissociation (SLD) can be challenging due to several factors such as poor quality of ligament, malalignment of the carpus, limited surgical options, and risk of recurrent instability. Various surgical techniques have been developed, but there is ongoing debate regarding the optimal surgical technique. This study aimed to report the clinical and radiological outcomes after dorsal scapholunate (SL) ligament complex reconstruction using suture tape-augmented autologous tendon graft. The study included patients with Garcia-Elias stage 3-4 chronic SLD, SL advanced collapse (SLAC) stage 1, and a follow-up period exceeding 1 year. Pre- and postoperative SL gap, SL angle (SLA), radiolunate angle (RLA), and dorsal scaphoid translation (DST) were measured, and wrist active range of motion, Modified Mayo Wrist Score (MMWS), and visual analog scale (VAS) were evaluated. Nine patients were included in this study with a mean follow-up period of 17 months (range, 15-31 months). All patients were male, with a mean age of 49 years (range, 30-62 years). Eight patients were classified as Garcia-Elias stage 4, while one was classified as SLAC 1. The median (range) of preoperative, immediate postoperative, and final follow-up measurements for SL gap, SLA, RLA, and DST were 5.4 mm (4.5-5.9), 2.1 mm (1.8-2.5), and 2.5 mm (2.0-2.8) (p = 0.008); 76° (69°-88°), 50° (32°-56°), and 54° (50°-64°) (p = 0.008); 22° (11.5°-33°), 2.8° (0.5°-3.8°), and 3.8° (2.2°-5.6°) (p = 0.008); and 2.8 mm (2.0-3.4), 0.8 mm (0.1-1.2), and 1.0 mm (0.1-2.0) (p = 0.008), respectively. Immediately after surgery, all radiological measurements showed significant improvement, which persisted up to 15 months postoperatively. The preoperative and final follow-up measurements of active flexion, extension, radial deviation, and ulnar deviation of the wrist showed significant improvement. The median preoperative and final follow-up values of MMWS were 51.1 (range, 40-60) and 88.3 (range, 85-95) (p = 0.007), respectively, and those of VAS were 7 (range, 6-8) and 2 (range, 1-3) (p = 0.007), respectively. Dorsal SL ligament complex reconstruction using suture tape-augmented autologous free tendon graft could be regarded as a feasible and straightforward technique for addressing irreparable chronic SLD.

Investigation of outcome measures and anomalous lower extremity in osteoarthritis patients with Jumpstart nutrition® supplementation.

Osteoarthritis (OA) is characterized by cartilage and synovial inflammation as well as anomalous lower extremity leading to joint pain, and impairment in lifestyle and epidemic of obesity. This study aimed to use the Jumpstart Nutrition® supplement (JNS) for achieving symmetry of aberrant lower extremity and improving the outcome measures in the management of OA. This week-twelve registry included 108 patients treated with JNS mainly comprised of calcium, phosphorus, magnesium, vitamin-K2, coenzyme-Q10, vitamin-C, boswellic acids, and curcumin mixed with soy and whey proteins (experimental group) and 72 were treated with symptomatic slow-acting drugs (control group) for chronic OA confirmed with radiological images. The outcome measures (Visual analogue scale, Western Ontario and McMaster Universities Osteoarthritis Index, Knee-injury Osteoarthritis Outcomes Scale, and Body mass index), and anomalous lower extremity included bilateral: knee gaps between biceps femoris-short head and surface of the bed, diameters of muscles at the calf, the thigh, 4cm above and below the patella, angles of straight leg raising, knee- flexion and-extension in supine were evaluated with appropriate protocol at week-0 and at week-12 for both the groups. After week-12, risk ratios of studied lower extremity, and mean ±standard deviation of all outcome measures were significantly improved (p<0.0001), and Kellgren-Lawrence scale (KLS) was upgraded to ≥2 in experimental group compared to control. This registry study indicates that JNS can be used to achieve symmetry of studied lower extremity and to improve the outcome measures safely as an effective management of OA patients confirmed with radiological images correlated with KLS.

Profile to Portfolio

This paper focuses on comparing reproducible methodologies to map an investor risk profile into portfolios, products, and solutions in a suitable manner. This study is premised on the assumption that financial advisors have access to valid measures of an individual’s tolerance to take investment risk or aggregate investor risk profile, and measures of the riskiness of products and portfolios of products. We compared three methodologies from the academic literature or regulators against investment alternatives we constructed. The alternatives were a range of 14 efficient portfolios using long-term indices in the United States, Canada, the United Kingdom, and Australia. Seven were based on an equal distribution of risk (i.e., the standard deviation increased equally between the seven portfolios), and seven portfolios where the percentage return of each portfolio increased by the same amount between each portfolio. The portfolios distributed by risk were discarded in favour of those distributed by return, and these were then mapped to determine the risk level of the investor they were considered suitable for based on the three methodologies. It was determined that (a) behavioural expectation and exposure to equities is a valid heuristic but insufficient to scale to the wide variety of portfolios and products, use of leverage, and other factors in the marketplace; (b) rolling standard deviation measures can lead to significantly understated assessments of risk in some periods; and (c) the VaR calculation is recognized in multiple sources as the preferred methodology to align investor concerns of drop in the value of their portfolio to the actual products, but like standard deviation, it is highly impacted by the period utilized. After altering two methodologies (i.e., MIFiD-II and RiskCAT) based on altered duration of data and scaling, respectively, we found that the four methodologies tested agreed with less than one risk band variance and an average correlation of 0.95 to 0.97.

Defects Detection in PCB Images by Scanning Procedure, Flood-filling and Mathematical Comparison

The basis of the approach is a scanning procedure with the movement of windows on the printed circuit board to detect defects of various types. Mathematical image comparison, pixel distribution histograms, padding algorithms, statistical calculations, and histogram deviation measurements are applied to the small parts of the PCB image in a small window area. The paper considers K-mean clustering of pixel intensities to simplify the printed circuit board image, separation of elements on the printed circuit board image by filling with colors, determination of defect intensity, and subtraction formulas.

Impact of field imperfections correction on BOLD sensitivity in 3D-SPARKLING fMRI data.

Static and dynamic field imperfections are detrimental to functional MRI (fMRI) applications, especially at ultra-high magnetic fields (UHF). In this work, a field camera is used to assess the benefits of retrospectively correcting field perturbations on Blood Oxygen Level Dependent (BOLD) sensitivity in non-Cartesian three-dimensional (3D)-SPARKLING fMRI acquisitions. fMRI data were acquired at 1 mm and for a 2.4s-TR while concurrently monitoring in real-time field perturbations using a Skope Clip-on field camera in a novel experimental setting involving a shorter TR than the required minimal TR of the field probes. Measurements of the dynamic field deviations were used along with a static map to retrospectively correct static and dynamic field imperfections, respectively. In order to evaluate the impact of such a correction on fMRI volumes, a comparative study was conducted on healthy volunteers. Correction of deviations improved image quality and yielded between 20% and 30% increase in median temporal signal-to-noise ratio (tSNR).Using fMRI data collected during a retinotopic mapping experiment, we demonstrated a significant increase in sensitivity to the BOLD contrast and improved accuracy of the BOLD phase maps: 44% (resp., 159%) more activated voxels were retrieved when using a significance control level based on a p-value of 0.001 without correcting for multiple comparisons (resp., 0.05 with a false discovery rate correction). 3D-SPARKLING fMRI hugely benefits from static and dynamic imperfections correction. However, the proposed experimental protocol is flexible enough to be deployed on a large spectrum of encoding schemes, including arbitrary non-Cartesian readouts.

The value of multimodal ultrasonography in the evaluation of late presenting testicular torsion in a rat experimental model.

To evaluate the value of multimodal ultrasonography (US) in a rat experimental torsion model after 6 h of torsion with different degrees. Twenty-one male rats were divided into three groups. Left testes of the rats were twisted around their vascular pedicle 360 degrees in group 1, 720 degrees in group 2, and 1080 degrees in group 3 and intact right testes of the rats were accepted as control group. Grey-scale US, superb microvascular imaging (SMI), colour Doppler ultrasonography (CDUS), strain elastography (SE), and two-dimensional (2-D) shear wave elastography (SWE) examinations were applied 6 h after torsion procedure and testes were removed for pathological evaluation. Short-axis dimensions and volumes of the torsion side were higher than control testes. Lengths of the testes in the 3rd torsion group were smaller than the testes in groups 1 and 2 (P < 0.002). SMI was better than CDUS in recognizing blood flow in testicular tissue. Strain ratios were higher in group 1 and decreased with the increasing torsion degree. Emean and standard deviation (SD) measurements increased in the torsion side. Pathologically the mean testicular damage scores were statistically significant between torsion and control testes in all groups. Our results showed that short-axis and volume measurements, SMI, 2D-SWE, and SE are effective in the evaluation and diagnosis of testicular torsion (TT). Evaluation of affected testis and intact testis with multiparametric US in late presenting TT cases is more reliable than being dependent on a single sonographic modality.

Spatial modelling of the tumor microenvironment from multiplex immunofluorescence images: methods and applications.

Spatial modelling methods have gained prominence with developments in high throughput imaging platforms. Multiplex immunofluorescence (mIF) provides the scope to examine interactions between tumor and immune compartment at single cell resolution using a panel of antibodies that can be chosen based on the cancer type or the clinical interest of the study. The markers can be used to identify the phenotypes and to examine cellular interactions at global and local scales. Several translational studies rely on key understanding of the tumor microenvironment (TME) to identify drivers of immune response in immunotherapy based clinical trials. To improve the success of ongoing trials, a number of retrospective approaches can be adopted to understand differences in response, recurrence and progression by examining the patient's TME from tissue samples obtained at baseline and at various time points along the treatment. The multiplex immunofluorescence (mIF) technique provides insight on patient specific cell populations and their relative spatial distribution as qualitative measures of a favorable treatment outcome. Spatial analysis of these images provides an understanding of the intratumoral heterogeneity and clustering among cell populations in the TME. A number of mathematical models, which establish clustering as a measure of deviation from complete spatial randomness, can be applied to the mIF images represented as spatial point patterns. These mathematical models, developed for landscape ecology and geographic information studies, can be applied to the TME after careful consideration of the tumor type (cold vs. hot) and the tumor immune landscape. The spatial modelling of mIF images can show observable engagement of T cells expressing immune checkpoint molecules and this can then be correlated with single-cell RNA sequencing data.

Motivational component profiles in learning embryology: A comparative study between first and final year medical students

Background: As a part of the "triangulation approach" for remodeling teaching-learning pedagogy related to embryology, we conceived the idea of comparing the motivational component profiles of first-year and final-year students, who might have realized the salience of learning embryology after seeing remarkable cases of congenital malformations. Methods: We used an observational study design for assessing the interrelation of motivational component profiles between both cohorts using the Science Motivation Questionnaire II (SMQ II)1. Of the total sample size of 150 first-year students, 126 agreed to participate, and similarly, out of 150 final-year students, 105 had consented to participation [‘convenience’ model of sampling]. The measures of central tendency, i.e., mean and standard deviation, were calculated for each item, and the Mann-Whitney test was utilized to compare the mean score of each motivational component. Results: Our results indicate that the overall motivational profile for learning embryology differs among first and final-year students. The mean intrinsic motivation and self-determination scores were slightly higher in the first-year cohort, whereas self-efficacy scores were slightly higher in the final-year cohort. This information integrates students’ levels and types of motivation into the planning, delivery, and evaluation of medical education. Conclusion: Despite being one of the key components of self-regulated learning, motivational component profiles remain unaddressed in contemporary medical education owing to their abstractness and subjectivity in terms of documentation. The current study helped us envisage the difference in motivational component profiles toward learning embryology in cross-section. It also senses the need for incorporating motivational short courses in undergraduate curricula, especially in remediation programs.

Geometry of deviation measures for triangular distributions

Triangular distributions are widely used in many applications with limited sample data, business simulations, and project management. As with other distributions, a standard way to measure deviations is to compute the standard deviation. However, the standard deviation is sensitive to outliers. In this paper, we consider and compare other deviation metrics, namely the mean absolute deviation from the mean, the median, and the quantile-based deviation. We show the simple geometric interpretations for these deviation measures and how to construct them using a compass and a straightedge. The explicit formula of mean absolute deviation from the median for triangular distribution is derived in this paper for the first time. It has a simple geometric interpretation. It is the least volatile and is always better than the standard or mean absolute deviation from the mean. Although greater than the quantile deviation, it is easier to compute with limited sample data. We present a new procedure to estimate the parameters of this distribution in terms of this deviation. This procedure is computationally simple and may be superior to other methods when dealing with limited sample data, as is often the case with triangle distributions.

DSM-Based Precise Pointing Angle Deviation Measurement Method for Beaconless Free Space Optical Communication

DSM-Based Precise Pointing Angle Deviation Measurement Method for Beaconless Free Space Optical Communication

Z-mixture three-sided stable matching in seaborne coal exchange with cooperative partners and heterogeneous relationships among attributes

Three-sided matching decision-making (TSMDM) problems are widespread in the real world. In practical TSMDM scenarios, two of the three sides collaborate, and matching objects on each side give their assessments about matching objects on another side according to multi-attributes with heterogeneous relationships. Given its advantages in describing uncertain information and its credibility, Z-mixture number is utilized to represent assessment from matching object, which offers continuous variable or discrete variable leaves matching objects free to choose. Based on this, this paper constructs a multiple attribute TSMDM model with Z-mixture numbers to deal with such situations. First, the prioritized interactive aggregation operator is proposed to aggregate Z-mixture numbers, which takes the prioritization and various interrelationships among the input arguments into account. Second, a weight determination model based on maximal deviation and fuzzy measure is proposed to determine the importance of attribute coalitions. Furthermore, a three-sided stable matching model with cooperation which pursues the maximization of overall satisfaction of matching objects by considering the stable matching conditions is constructed to obtain the stable matching among matching objects. Lastly, a case for the matching of supply, transportation and demand in seaborne coal exchange is presented to validate the rationality and practicability of the proposed method. Compared with the existing studies, the advantages and effectiveness of the proposed method are demonstrated.

Influence Suppression of Metal Foreign Object in Wireless Power Transfer System Using Improved Grey Wolf Optimizer

To address the issue of metal foreign objects interfering with the charging area and causing a significant drop in the Wireless Power Transfer system’s output power, a method to suppress their influence is proposed. First, a circuit model with detection coils is established, the system’s coupling mechanism is analyzed, a mathematical model for output power is derived, and mutual inductance deviation measure is quantified. Next, a finite element simulation model with detection coils is created to simplify the coil design and analyze mutual inductance deviation measure caused by various metal foreign objects. The misalignment of transmitter and receiver coils are considered, and an improved Grey Wolf Optimizer is introduced to optimize compensation topology parameters, targeting output power. Finally, a simulation model and experimental platform are built, and the proposed method is verified through simulation and experimentation. The method can achieve optimal output power in limited iterations while satisfying constraints, confirming its correctness and effectiveness.

Potential vision tester using adaptive optics, Maxwellian view, and small pupil.

We demonstrate a free-space, trolley-mounted potential vision tester (PVT), designed to study and improve the accuracy of visual acuity (VA) measurements in the aging eye. Key features include a high-resolution visual display presented in Maxwellian view, a 3 mm pupil to limit wavefront (WF) aberrations, and a moderate cost deformable mirror to induce or correct higher order optical aberrations. The visual display supported accurate measurement of visual acuities down to 20/5. The moderate cost, piezo deformable mirror induced seven nominal aberrations, calibrated as 0, -0.32, -0.23, + 0.27, and +0.39 microns spherical aberration; + 0.49 microns Y coma; and -0.51 microns X coma. A custom Hartmann Shack (HS) calibration (HSc) system demonstrated that induced aberrations were repeatable and stable. A Badal optometer provided the coarse focus. WF aberrations were measured for five normal subjects with a commercially available HS device (HSP) (OCULUS Pentacam AXL Wave), providing estimates of WF errors for 3 mm and other pupil sizes. VA was measured using four alternative forced-choice for a single black on white E stimulus in each trial. Using the method of constant stimuli yielded robust standard deviation measurements. The 50% fit for VA plotted against induced aberration resulted in linear functions for each subject for the range of our positive and negative spherical aberration data. Subjects differed, but higher order terms were unnecessary to describe data across spherical aberrations.

Cutting guides in mandibular tumor ablation: Are we as accurate as we think?

PurposeTumor margin status is critical in local tumor recurrence and is a significant prognostic factor in head and neck cancer survival. With the introduction of computer-assisted surgical planning, one of the main challenges is the accurate positioning of the surgical cutting guide but there is limited evidence of the accuracy of the 3D cutting guides in mimicking virtually planned osteotomy. This study evaluates the accuracy of osteotomy lines produced by 3D-printed cutting guides and assesses the overall accuracy of mandibular reconstruction. Material and MethodsThe pre and postoperative 3D models were aligned using an automated surface registration feature based on the iterative closest point algorithm. The differences in osteotomy line deviation, linear and angle measurements, and 3D volume quantification of the pre and post models were measured. ResultsWe included 14 patients (8 men and 6 women with ages ranging from 13 to 75 years) with a segmental mandibular resection who met all of the inclusion criteria. The smallest defect size was 4.4 cm, the largest defect was 12.2 cm, and the average was 7.30 cm +/- 2.80 cm. The average deviation between virtually planned osteotomy and actual surgical osteotomy was 1.52 +/-1.02 mm. No covariates were associated with increased inaccuracy of the 3D-printed cutting guides. ConclusionThe finding of this study suggests that virtual surgical planning is an unambiguous paradigm shift in the predictability of the surgical plan and achievement of the reconstruction goals. The 3D-printed cutting guides are a very accurate and reliable tool in translating virtual ablation plans to an actual surgical resection margin.

Early Orthodontic Intervention in Cleft Lip-Palate and Noncleft Children with Developing Class III Malocclusion: A Clinical Study.

Orthopedic correction of skeletal class III malocclusion in a growing patient is crucial as it can circumvent future surgical procedures. The aim of the study is to evaluate the dental and skeletal effects of early orthodontic intervention of developing class III malocclusion. A final sample of 38 children in the age-group of 6-14 years having skeletal class III malocclusion was selected. Subjects were divided into two groups; group I-included 18 children (male-10, female-8) with surgically repaired cleft lip and palate and group II-20 children (male-14, female-6) without any cleft lip and palate. Cemented rapid maxillary expansion (RME) appliances with 11 mm hyrax screws were used in all patients. Elastic traction forces were applied to the reverse-pull headgear worn by the patients. Both pre- and posttreatment records along with lateral cephalograms were taken. The pre- and posttreatment mean and standard deviation measurements of the angular and linear observations were statistically analyzed with Statistical Package for the Social Sciences (SPSS) software (version 13) and were correlated through independent t-test and paired t-test. Following headgear therapy, improvement was greater in the cleft group than noncleft group with greater advancement of maxilla along with clockwise rotation of mandible in clefts. Protraction mechanics with expansion can be employed successfully in repaired cleft lip and palate and noncleft prepubertal children having developing class III malocclusion, showing concave profile, and retrusive maxilla. Accurate diagnosis and understanding of the individual growth pattern are crucial in the early interception of a class III malocclusion to achieve a more favorable facial profile. Sahoo SS, Dash JK, Sahoo PK, et al. Early Orthodontic Intervention in Cleft Lip-Palate and Noncleft Children with Developing Class III Malocclusion: A Clinical Study. Int J Clin Pediatr Dent 2023;16(5):716-723.