Measurement invariance of the Childhood Autism Rating Scale (CARS) across six countries

Education and Child Studie

COMPARATIVE ANALYSIS OF STANDARD ERROR USING IMPUTATION METHOD

Presence of missing values in the dataset remains great challenge in the process of knowledge extracting. Also this leads to difficulty for performance analysis in data mining task. In this research work, student dataset is taken that contains marks of four different subjects of engineering college. Mean Imputation, Mode Imputation, Median Imputation and Standard Deviation Imputation were used to deal with challenges of incomplete data. By implementing imputation methods for example Mean Imputation, Mode Imputation, Median Imputation and Standard Deviation Imputation on the student dataset and find out standard errors for each imputation method then analyze obtained result. Mean Imputation with standard error is less as compare with other imputation method with standard error. Hence Mean Imputation Method with standard error is more suitable to handling the missing values in the dataset

COMPARISION OF PERCENTAGE ERROR BY USING IMPUTATION METHOD ON MID TERM EXAMINATION DATA

The issue of incomplete data exists across the entire field of data mining. In this paper, Mean Imputation, Median Imputation and Standard Deviation Imputation are used to deal with challenges of incomplete data on classification problems. By using different imputation methods converts incomplete dataset in to the complete dataset. On complete dataset by applying the suitable Imputation Method and comparing the percentage error of Imputation Method and comparing the resul

COMPARISON OF CLASSIFIERS FOR SENTIMENT ANALYSIS

The need of social media has vividly changed people’s life with more and more sharing their thoughts, expressing opinions, and in the hunt for support on social media websites such as Twitter, Facebook, blogs etc. Twitter, an online social networking and micro bloggingservice, which enables users to send and read text-based posts, known as tweets, with 140-character limit. Newspapers and blogs express opinion of news entities (people, places, things) while exposure to recent events. We present a system which extracts the sentiments from the online posts of twitter about news event. Our system shows sentiment identification, which expresses opinion associated with each entity. Also it consists of scoring phase, which assigns scores to each entity, on which the tweets are classified. Finally, we compare Maximum Entropy, Decision tree, Support vector machine and NaivesBayes classifiers

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Not AvailableSeed germination and seedling vigour in aging seeds of 32 groundnut genotypes was studied under ambient storage conditions to assess the extent of variability for these traits under storage. The association, if any of these traits with seed soil content and seed mass was also examined. Both,seed germination and seedling vigour declined with aging of the groundnut seeds in all test genotypes. However, the rate of decrease varied among the genotypes suggesting significant genotypic difference and possibility of their improvement through breeding. Aging also has strong negative effect on both, root and shoot growth of the seedlings, but profound effect was observed on root growth. Seed germination and seedling vigour are not associated with seed oil content, but seedling vigour is positively correlated with seed mass. The results indicate the possibility of developing new groundnut genotypes that retained good levels of seed germination and seedling vigour even in storage for 12 months under ambient conditions. Further, it is also possible to combine enhanced high seed oil content with high seed germination and seedling vigour. As seed germination and seedling vigour are associated with pod yield, it may be desirable to evaluate the advanced breeding lines for these traits besides other yield and yield parameters.Not Availabl

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Not AvailableTo assessthe determinants oftechnology adoption by sunflower farmers towards improved sunflower production technologies, a study was conducted in Akola district of Maharashtra. The assessment was done on a comparative basis between 60 each of farmers who participated in the frontline demonstrations (FLDs) organized by Crop Research Unit, Dr.Panjabrao Deshmukh Krishi Vidyapeeth (PDKV), Akola, Maharashtra (FLD farmers) and farmers who did not participate in the FLD programme but belong to the same villages wherein FLDs were organized (non-FLD farmers). The respondents were selected through multi-stage random sampling procedure. There was highly significant difference between FLD and non-FLD respondents with respect to their adoption behaviour and sunflower productivity. There was significant difference among non-FLD farmers with small, medium and large size of land holdings with respect to their adoption behaviour and sunflower productivity, while there was no such difference was observed among the FLD farmers. Most of the non-FLD farmers had low to medium level of sunflower productivity, while most of the FLD farmers had medium to high level of sunflower productivity. Overall, there was 11% mean seed yield increase obtained by the FLD farmers over that of non-FLD farmers with ` 2254/ha additional net returns. The personal, socio-economical, biotic and abiotic determinants of sunflower production and perceived information needs were assessed and the strategies for improving the sunflower production scenario in the study area were suggested.Not Availabl

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Not AvailableSafflower is a traditional oilseed crop in the world. Its seed oil is a healthy edible oil containing high amount of unsaturated fatty acids. Genetically diverse exotic cultivars are valuable germplasmfor introducing new diversity in safflower improvement programmes. In this study, we characterized safflower cultivars of India (30) andMexico (23) comprising varieties, hybrids and advanced lines developed over 50 years for genetic distinctiveness using 38 simple sequence repeat (SSR) loci. Genetic diversity estimates across cultivar groups (total, India and Mexico) were as follows: mean number of alleles (3.2, 3.1, 2.6), expected heterozygosity (0.42, 0.37, 0.37) and polymorphism information content (0.36, 0.33, 0.32) respectively, which suggested narrow SSR allelic diversity within and between cultivar groups. However, distance-based cluster analysis (neighbour-joining tree) and model-based STRUCTURE analysis revealed that safflower cultivars of India and Mexico, with the exception of a few, formtwo genetically distinct groups. High level of genetic variation explained between the populations (40%) and Fst estimate (0.4) suggested that the cultivar groups were highly differentiated with limited gene flow supporting a strong genetic structuring. High oil *38% and high oleic (73–79%) contents of a subset of Mexican safflower varieties and advanced lines were confirmed in field trials in India. These exotic sources from Mexico are valuable for safflower breeding programmes in India to develop new cultivars with high oil yielding potential and high oleic acid content,which is the current market demand.Not Availabl

Quality-adjusted survival in women with gynecologic malignancies receiving IMRT after surgery: A Ppatient Rreported Ooutcome study of NRG oncology\u27s RTOG 1203

Introduction: NRG/RTOG 1203 compared 3-D conformal radiotherapy (3D CRT) to intensity-modulated radiotherapy (IMRT) in patients with endometrial or cervical cancer requiring post-operative radiotherapy after hysterectomy. The purpose of this study was to report the first quality-adjusted survival analysis comparing the two treatments. Methods: NRG/RTOG 1203 randomized patients having undergone hysterectomy to either 3DCRT or IMRT. Stratification factors included RT dose, chemotherapy, and disease site. The EQ-5D, both index and visual analog scale (VAS), were obtained at baseline, 5 weeks after the start of RT, 4–6 weeks post RT and 1 and 3-years post RT. EQ-5D index and VAS scores along with quality-adjusted survival (QAS) were compared between treatment arms using the t-test at a two-sided significance level of 0.05. Results: NRG/RTOG 1203 enrolled 289 patients of which 236 consented to participate in the patient reported outcome (PRO) assessments. QAS was higher in women treated with IMRT, 1374 vs 1333 days (p = 0.5) compared to patients treated with 3DCRT, but this difference was not statistically different. Patients treated with IMRT had less of a decline in VAS score 5 weeks post RT, −5.04, compared to patients treated with 3DCRT, −7.48, although not statistically significant (p = 0.38). Conclusion: This is the first report of the use of the EQ-5D comparing two radiotherapy techniques in the treatment of gynecologic malignancies after surgery. While there were no significant differences in QAS and VAS scores between patients who received IMRT vs. 3DCRT, RTOG 1203 was not powered to show statistical differences in these secondary endpoints