EFFICACY AND SAFETY OF TETRAHYDROCURCUMINOID IN THE TREATMENT OF ORAL LEUKOPLAKIA: A PILOT STUDY

Objective: The objective of this study is to evaluate the efficacy and safety of tetrahydrocurcuminoid (THC) in the treatment of oral leukoplakia. Methods: Patients with oral mucosal lesions with clinical features of leukoplakia were selected, and an incisional biopsy of the lesion was performed to confirm the diagnosis. Demographic data, habit history, and complete medical history were documented. Subjects were given 2% THC gel (Sami Labs, Bengaluru) with advice to apply the gel to the affected areas, 5 times daily for 12 weeks. The lesion was examined, and its characteristics were documented in a standard manner at baseline, 3, 6, 9, and 12 weeks. Results: Of the eight patients, 6 were males with age range from 40 to 70 years (mean age of 56 years). All the patients reported a reduction of burning sensation within 3 weeks of starting treatment and were completely asymptomatic by the end of the study. There was a decrease in the size of the lesion during the follow-up period. Reduction in thickness of the lesion was found in six of eight patients. Histological improvement a stage better was seen in three patients after completion of treatment. However, there was no histological improvement in four patients, and one patient progressed to mild dysplasia from hyperkeratosis without dysplasia. Conclusion: THD when topically applied in gel form is remarkably effective in alleviating clinical symptoms. The remarkable histological improvement was seen in 3 of 8 patients

A Simple Random Sampling Modified Dual to Product Estimator for estimating Population Mean Using Order Statistics

Bandopadhyaya (1980) developed a dual to product estimator using robust modified maximum likelihood estimators (MMLE’s). Their properties were obtained theoretically and supported through simulations studies with generated as well as one real data set. Robustness properties in the presence of outliers and confidence intervals were studied

Age Estimation by Modified Demirjian’s Method in a Hospital-Based Population: A Radiographic Study

Objective: To test the modified Demirjian's method of dental age estimation on the South Indian population and correlate it with the patient's chronological age. Material and Methods: This retrospective radiographic study was performed on digital panoramic radiographs taken during a one-year duration. Radiographs of patients in the age range from 8 to 18 years were included in the study. The radiographs were examined and according to the stage of the crown and root status of the left side mandibular teeth. The stage of calcification was observed for eight teeth in the mandibular arch and was recorded in a specially designed proforma. Each rated tooth with stage was converted into a score using a conversion table specified for girls and boys. Results: 224 digital panoramic radiographs were retrieved from the radiologic database. Out of total study sample, 49.5% (n=111) were boys and 50.5% (n=113). The mean chronological and estimated dental age using dental maturity scores resulted in an overestimation of 3 years and eight months. Also, it was noted that there was a strong positive association between chronological (real) and dental age. Conclusion: It was observed that there was a strong correlation between chronological and dental age. A new formula for determining the chronological age from the estimated dental age was derived. Further studies on a larger population may prove the reliability of this age estimation method

Stock Value Prediction System

The use of artificial neural network is gaining popularity in the research field. Neural network consist of interconnected neurons which deciphers value by using input data by feeding network values. The main aim of our project is to use backpropagation process to predict the future value.Stock market prediction models are the most challenging fields in computer science. The aim of this project is implementation of neural networks with back propagation algorithm for stock value prediction .A neural network is a powerful data-modeling tool that is able to capture and represent complex input/output relationships. We apply Data mining technology to the stock in order to research the trend of the market. Our proposed system provides methods to develop machine learning stock market predictor based on Neural Networks using Back propagationalgorithm, with intent of improving the accuracy. In this paper we have used data mining process along with artificial neural network networking to predict the future value of the stock. This paper overcomes the all traditional statistical methods of the stock market value prediction. DOI: 10.17762/ijritcc2321-8169.16049

HEPARIN INDUCED SUBLINGUAL HEMATOMA: A RARE ORAL COMPLICATION

lingual and sublingual hematoma is a rare complication following heparin therapy which may result in serious life-threatening airway obstruction. A 75-year-old female with ischemic heart disease was heparinized for percutaneous transluminal coronary angioplasty of the left anterior descending artery leading to sublingual hematoma with difficulty in swallowing and breathing. This paper presents a case report and management of sublingual hematoma following heparin therapy

HEREDITORY GINGIVAL FIBROMATOSIS IN A 7-YEAR-OLD GIRL: A CASE REPORT

ABSTRACTThis paper presents a case of hereditary gingival fibromatosis, a rarely reported disorder and addresses the complex nature of oral diagnosis,treatment and long-term case management in the hereditary form of recurrent gingival fibromatosis. Case management is discussed in relation toa 7-year-old girl who presented with recurrent, progressive gingival enlargement requiring consecutive periodontal treatment. The initial course oftreatment included 4-quadrant gingivectomy with excisional bevel incisions, followed by microscopic examination of the gingivectomy specimenswhich supported the clinical diagnosis. 1 year later, recurrence of the condition was observed in all quadrants. It is recommended that patients withthis condition be monitored closely after gingivectomy so that the treatment requirements of localized areas can be addressed as needed.Keywords: Heredity, Genome, Phenotype, Chromosome, Autosomal inheritance

Incidence of Third Trochanter/Crista Glutei in Human Femora in Central Indian Population

Background: The third trochanter is a rounded bony projection which may be present along the superior border of the gluteal tuberosity of the femur.Sometime there is linear elevation along the gluteal tuberosity called as crista glutei. If conical projection is present in the gluteal tuberosity, it is called as third trochanter. Aim and Objectives: To undertake the study of incidences of third trochanter and crista glutei in central Indian population this study was undertaken and to compare it with occurrence in other series. Material and Methods: Fifty dry adult human femora collected from the Department of Anatomy and examined carefully. The third trochanter was considered to be present only if distinct oval elevation was separate from gluteal ridge. When there is linear elevation along the gluteal tuberosity we considered it as crista glutei. This classification was distinguished from that of a gluteal tuberosity. The length and width was measured using a digital vernier caliper. Results: The total incidence of third trochanter (oval elevation) and crista glutei (linear elevation) were found to occur in 14% and 24% with left sided predominance. Conclusion: Important findings of present work highlight the morphometric indices of third trochanter and crista glutei. Parameters that have been studied in the present work can be utilized for anthropometric, comparative and functional studies

A synergetic analysis of verification technologies of I.A.E.A and C.T.B.T.O for nuclear non-proliferation and security

The existence of nuclear weapons and the risk of proliferation of nuclear weapons poses a big threat to the world. Aiming at nuclear non-proliferation, IAEA and CTBTO were established with separate verification regimes. This dissertation examines the role of the respective verification regimes of these organisations by understanding their working principles & parameters in order to identify and assess possible synergies between their verification technologies through case studies and analysis. It aims to answer critical questions on existing verification regime, current opposition to synergies, possible synergies in context of non-proliferation and feasibility studies of such synergies with their strengths & weakness. The thesis offers a descriptive account of the organisational objectives, mandate and current technologies of the IAEA and CTBTO to develop a strong background for their synthesis. This study is significant because till date, no systematic investigation has considered developing a synergy model, as done in this thesis, in the form a combined dataset system aiming at a stronger, more accurate and efficient non-proliferation regime. For arriving at the research strategy, in depth technical analysis of the currently employed methodologies was done to identify the key variables and parameters for synergising each technology between IAEA and CTBTO. Exhaustive analysis based on existing studies and models was performed to deduce the synergies via different cases and scenarios. The findings from the research illustrates on the potential synergies and the nature of nuclear activity based on the various parameters and values providing qualitative and quantitative analysis for the thesis. Empirical calculations are used to determine the net impact of the considered synergies. While concluding the thesis, results, strengths and limitations of the study are discussed with clear focus on future research and recommendations considering the strong potential of an enhanced verification regime for nuclear non-proliferation and security.8

Quantitative and Qualitative Correlation of Mandibular Lingual Bone with Risk Factors for Third Molar Using Cone Beam Computed Tomography

Mehuli Halder,1 Yogesh Chhaparwal,1 Vathsala Patil,1 Komal Smriti,1 Shubha Chhaparwal,2 Kalyana C Pentapati3 1Department of Oral Medicine and Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India; 2Department of Conservative Dentistry and Endodontics, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India; 3Department of Public Health Dentistry, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, IndiaCorrespondence: Yogesh Chhaparwal, Department of Oral Medicine and Radiology, Manipal College of Dental Sciences, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India, Tel +91 9986454730, Email [email protected]: Lingual plate thickness, density, and proximity to the tooth are linked as risk factors for various complications associated with third molar extraction. The present study aimed to assess the lingual plate thickness, and density in the mandibular third molar region using cone beam computed tomography and to estimate its correlation with type and level of impaction, number of roots, age, and gender as the risk factorsMethods: This was a retrospective study on CBCT images of 648 mandibular third molars. The lingual plate thickness at three different root levels – cervical, mid-root, and apex along with the position of the tooth, number of roots, density of lingual plate, age, and gender were evaluated. The measurements were done on Invivo 5-Anatomage software. Statistical comparison of the categorical variables was done by Chi-square test, and Fisher’s exact test, and univariate and multivariate analysis were done using binomial logistic regression.Results: Lingual plate thickness of the third molars at the cervical, mid root, and apex were 1.28 mm, 1.42 mm and .01 mm (mean). A significantly higher proportion of subjects with thin lingual plates at mid-root (p-value=0.01) and apex (p-value=0.05) were in the 21– 30 age group. Lingual bone density was significantly associated with the thickness of the lingual plate at the mid-root. A significantly higher proportion of thinner lingual plates at the mid-root level were associated with mesioangularly placed third molars (p-value=0.002).Conclusion: Our study presented that lingual plate thickness has a strong association with age, angulation, and the number of roots. Knowledge about these risk factors is imperative during the management of third molar impactions.Keywords: lingual plate, third molar, bone density, mandible, cone-beam computed tomograph

A robust unbiased dual to product estimator for population mean through modified maximum likelihood in simple random sampling

In simple random sampling setting, the ratio estimator is more efficient than the mean of a simple random sampling without replacement (SRSWOR) if $\rho_{yx} > \frac{1}{2}\frac{{C_{x} }}{{C_{y} }}$, provided R > 0, which is usually the case. This shows that if auxiliary information is such that $\rho_{yx} < - \frac{1}{2}\frac{{C_{x} }}{{C_{y} }}$, then we cannot use the ratio method of estimation to improve the sample mean as an estimator of population mean. So there is need for another type of estimator which also makes use of information on auxiliary variable x. Product method of estimation is an attempt in this direction. Product-type estimators are widely used for estimating population mean when the correlation between study and auxiliary variables is negatively high. This paper is developed to the study of the estimation of the population mean using of unbiased dual to product estimator by incorporating robust modified maximum likelihood estimators (MMLE’s). Their properties have been obtained theoretically. For the support of the theoretical results, simulations studies under several super-population models have been made. We study the robustness properties of the modified estimators. We show that the utilization of MMLE’s in estimating finite population mean results to robust estimates, which is very gainful when we have non-normality or common data anomalies such as outliers