• The Journal of Asian Finance, Economics and Business
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• v.3 no.4
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• pp.81-90
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• 2016

The core purpose of the paper is to explore perceptual displays of rural India towards the role and impact of ICT in transforming the lives through education and telecommunications. After meticulous review of pertinent literature on ICT, and its policy framework, the researcher administers both quantitative and qualitative field data collected from the villages of Andhra Pradesh, Karnataka, Kerala, and Tamil Nadu with a sample of 250 from each state. More than 90 percent of respondents from the four southern states in India clearly thought that the role and impact of ICT is very momentous. Predominantly, cent percent respondents from Kerala evinced that ICT is the major reason for achieving the tag of "100% Literacy State". And also in the remaining three states viz., Andhra Pradesh, Karnataka, and Tamil Nadu, the literacy rate has crossed mind-boggling figures only because of ICT's reinforcement. Even in the arena of telecommunications, these four states average telecom density is more than the country's average. The paper concentrated only on how ICT function empirically to build human capacity in rural south-India through the sectors of only education and telecom. This study is first of its kind and precious to all stakeholders of the ICT sector like educational institutional, telecom firms, customers, employees, and governments, etc.

• Asian Journal of Turfgrass Science
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• v.12 no.2
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• pp.99-106
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• 1998

미국내에서 바랭이의 지역적 분포와 각 재배작물에서 잡초로서의 중요성을 자료화하기 위하여 설문조사를 실시하였다. 총 117개의 배포된 설문지중 72개의 설문지가 회수되어 62%의 응답률을 보였다. 미극내의 농, 원예작물 재배지역에는 5종의 바랭이가 분포하는 것으로 보고되었고, 이들은 large, smooth, southern, india 그리고 blanket crabgrass 등이었다. 이들 중 약 50% 이상의 응답자가 large crabgrass를 가장 문제잡초로 인식하고 있었다. 지역적으로 smoth와 large crabgrass는 모든 위도에서 그 우점도가 인정된 반면, southern crabgrass는 우점도가 남부지역에 제한되는 것으로 보고되었다. 바랭이는 다른 작물의 재배지역보다 잔디밭에서 그 문제가 보다 심각한 것으로 보고되었다. 남부지역의 잔디밭에서는 large, southern 그리고 smooth crabgrass의 순서로, 북부지역에서는 smooth crabgrass가 large crabgrass보다 잡초로서의 문제성이 큰 것으로 보고되었다. 대부분의 응답자들은 종내변이성이 smooth와 large crabgrass에는 존재하지 않는 것으로 응답하였으나, southern crabgrass내에는 존재하는 것으로 보고되었다.

• Journal of Ecology and Environment
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• v.32 no.4
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• pp.249-256
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• 2009

The rare endemic plant, Smilax wightii, is generally distributed in shola forests at high altitudes in Nilgiri Biosphere Reserve, the Western Ghats, southern India. To determine the ecological status of the species, we surveyed 11 major shola forests in that region. S. wightii has a limited distribution in all sholas (frequency value of < 13%). The density of the species is generally around $15/100\;m^2$ in the sholas except in Thiashola where it occurred at a density of 40 individuals/$100\;m^2$. The density of S. wightii was generally greater in the margins of the shoals, while the interior forests contained fewer individuals per unit area. The basal cover occupied by this species ranged between 2246 and $3144\;mm^2/100\;m^2$. The importance value index for S. wightii was >2 in all shoals, which indicates that the species occupies an important position in the lower stratum of shola forests of Nilgiri Biosphere Reserve.

• Journal of Wetlands Research
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• v.25 no.1
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• pp.26-34
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• 2023

Wetlands are very critical for the conservation of aquatic ecosystems, while also serving as the breeding/ nesting/ resting grounds for water birds. Generally, wetlands support both resident and migratory birds, thus serving as connecting dots in the global flyways. The Rajasthan state of India has two Ramsar sites (Keoladeo National Park and Sambhar Lake) and many other water bodies/wetlands. However, most of these areas are segregated in the eastern, southeastern, southern, and northern parts. In the western part of Rajasthan, where lies the Great Indian or Thar desert, there are no such reported prominent wetlands drawing attention towards a substantial number of resident and migratory water birds. The author is an Indian Forest Service officer, who was posted in the Thar Desert region and during that time had identified a hidden wetland in the desert landscape. This study deliberates on the wetland location and its faunal diversity with prospects of developing the area as a proper wetland conservation zone. India is a signatory to the Central Asian Flyway of migratory species and serves as an important member in terms of having significant wetlands and reported migratory birds count. The need of preserving and bring the arid zone's hidden wetlands to the forefront can serve as an important tool to conserve water birds and comply with worldwide bird migration conservation efforts.

• Animal cells and systems
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• v.10 no.3
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• pp.163-167
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• 2006

Reverse-Phase High-performance Liquid Chromatography (RP-HPLC) based technique is one of the most sensitive techniques to detect the antibiotics present in honey. In the southern part of Tamilnadu, India, majority of the farmlands are occupied by plantations such as coconut, banana and rubber. A variety of antimicrobial compounds and antibiotics, which have been reported in pollen, nectar and other floral parts of the plant, gets accumulated in honey through honeybees (Apis mellifera). We have collected the nectar samples from banana (Musa paridasiaca) and rubber (Ficus elastica) flowers and the honey from honey hives of banana and rubber cultivated areas. The extracted nectar and honey samples are subjected to RP-HPLC analysis with authentic antibiotic standards. Nectar and honey samples showed 4-17, 11-29 ${\mu}g/kg$ of streptomycin, 2-29, 3-44 ${\mu}g/kg$ of ampicillin and 17-34, 26-48 ${\mu}g/kg$ of kanamycin respectively.

• Korean Journal of Remote Sensing
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• v.21 no.3
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• pp.189-211
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• 2005

This paper makes an effort to compare the recently evolved soft classification method based on Linear Spectral Mixture Modeling (LSMM) with the traditional hard classification methods based on Iterative Self-Organizing Data Analysis (ISODATA) and Maximum Likelihood Classification (MLC) algorithms in order to achieve appropriate results for mapping, monitoring and preserving valuable coastal wetland ecosystems of southern India using Indian Remote Sensing Satellite (IRS) 1C/1D LISS-III and Landsat-5 Thematic Mapper image data. ISODATA and MLC methods were attempted on these satellite image data to produce maps of 5, 10, 15 and 20 wetland classes for each of three contrast coastal wetland sites, Pitchavaram, Vedaranniyam and Rameswaram. The accuracy of the derived classes was assessed with the simplest descriptive statistic technique called overall accuracy and a discrete multivariate technique called KAPPA accuracy. ISODATA classification resulted in maps with poor accuracy compared to MLC classification that produced maps with improved accuracy. However, there was a systematic decrease in overall accuracy and KAPPA accuracy, when more number of classes was derived from IRS-1C/1D and Landsat-5 TM imagery by ISODATA and MLC. There were two principal factors for the decreased classification accuracy, namely spectral overlapping/confusion and inadequate spatial resolution of the sensors. Compared to the former, the limited instantaneous field of view (IFOV) of these sensors caused occurrence of number of mixture pixels (mixels) in the image and its effect on the classification process was a major problem to deriving accurate wetland cover types, in spite of the increasing spatial resolution of new generation Earth Observation Sensors (EOS). In order to improve the classification accuracy, a soft classification method based on Linear Spectral Mixture Modeling (LSMM) was described to calculate the spectral mixture and classify IRS-1C/1D LISS-III and Landsat-5 TM Imagery. This method considered number of reflectance end-members that form the scene spectra, followed by the determination of their nature and finally the decomposition of the spectra into their endmembers. To evaluate the LSMM areal estimates, resulted fractional end-members were compared with normalized difference vegetation index (NDVI), ground truth data, as well as those estimates derived from the traditional hard classifier (MLC). The findings revealed that NDVI values and vegetation fractions were positively correlated ($r^2$= 0.96, 0.95 and 0.92 for Rameswaram, Vedaranniyam and Pitchavaram respectively) and NDVI and soil fraction values were negatively correlated ($r^2$ =0.53, 0.39 and 0.13), indicating the reliability of the sub-pixel classification. Comparing with ground truth data, the precision of LSMM for deriving moisture fraction was 92% and 96% for soil fraction. The LSMM in general would seem well suited to locating small wetland habitats which occurred as sub-pixel inclusions, and to representing continuous gradations between different habitat types.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.18
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• pp.7839-7842
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• 2014

Background: Breast cancer is the most common malignancy in women worldwide and the second most common cancer in females in India. Receptor status may be important for survival. Objective: To analyse and correlate the clinical and morphological parameters with receptor status in breast carcinoma patients in a tertiary care institution in Southern India. Materials and Methods: This retrospective study involved 320 patients of breast cancer diagnosed in an oncology hospital over a period of $3^{1/2}$ years. Data was analysed using SPSS Version 21. Results: Some 60.6% patients with breast carcinomas belonged to the age group of 40 to 60 years. The most common histological type was infiltrating ductal carcinoma, not otherwise specified, accounting for 84.4% of patients. On immunohistochemistry, estrogen receptor (ER) and progesterone receptor (PR) were expressed in 56.3% and 53.1% of cases, respectively. Conclusions: Breast cancers in India, a developing country, occur in younger women and tend to be more aggressive with lower rates of ER and PR expression and higher histological tumor grades. Both ER and PR status of the tumors had significant associations with the patient age, pathological TNM stage and histological tumor grade.

• The Plant Pathology Journal
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• v.35 no.6
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• pp.644-653
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• 2019

The genetic variability of 'Candidatus Liberibacter asiaticus' (CLas) population associated with huanglongbing (HLB) disease of citrus in North Eastern (NE) region of India, a geographically locked region, and home for the diversity of many citrus species was analyzed on the basis of tandem repeat numbers (TRN) in variable CLIBASIA_01645 genomic loci. Fifty-five CLas strains sampled from different groves of NE Hill (NEH) region of India were in single amplicon group, but there was remarkable genetic variability in TRNs. The TRN in HLB-associated CLas strains varied from 0-21 and two novel repeat motifs were also identified. Among the NE population of CLas, TRN5 and TRN9 were most frequent (total frequency of 36.36%) followed by TRN4 (14.55%) and TRN6, TNR7 with a frequency of 12.73% each. Class II type CLas genotypes (5 < TRN ≤ 10) had highest prevalence (frequency of 60.00%) in the samples characterized in present study. Class I (TRN ≤ 5) genotypes were second highest prevalent (29.09%) in the NEH region. Further analysis of genetic diversity parameters using Nei's measure (H value) indicated wide genetic diversity in the CLas strains of NE India (H value of 0.58-0.86). Manipur CLas strains had highest genetic variability (0.86) as compared to Eastern, Southern and Central India. The R₁₀ values (TRN ≤ 10/TRN > 10) of NE CLas population was 10.43 (73/7), higher from other regions of India. Present study conclusively reported the occurrence of high genetic variability in TRN of CLas population in North East Indian citrus groves which have evolved to adapt to the specific ecological niche.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.2
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• pp.511-516
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• 2012

Background: We investigated the association between polymorphisms in the $p53$ tumor suppressor gene and breast cancer risk in women especially in the Southern part of India. Methods: Genotyping was performed for 50 breast cancer women and 50 controls to determine the status of $p53$ exon 4 codon 72 polymorphism and exon 7 codon 249 mutation and their possible role in breast cancer risk. Results: Frequency of Arg/Arg at codon 72 was 18% in controls and 28% in patients, Arg/Pro frequency was 56% and 66%, Pro/Pro genotype was 8% in controls and 8% in patients. No significance was observed for breast cancer risk with either Arg/Arg or Pro/Pro genotype in codon 72 polymorphism. Similarly, mutation analysis of exon 7 codon 249 revealed that 72% of breast cancer patients have mutation, which is not statistically significant. However, there is a strong association between increase in exon 7 codon 249 mutation and exposure to pollution. Conclusion: The results suggested that there is no risk for exon 4 with Arg/Arg or Pro/Pro polymorphisms in the $p53$ gene and there is no strong correlation between breast cancer patients and mutation in exon 7 codon 249 in South Indian women.

• The korean journal of orthodontics
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• v.43 no.1
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• pp.35-41
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• 2013

Objective: To assess the prevalence of malocclusion and its relationship with dental caries among school children in southern India. Methods: This cross-sectional study included 1,800 students aged 11 - 15 years whose Dental Aesthetic Index (DAI) and dentition status were recorded and analyzed. The chi-square test, ANOVA, and Spearman's correlation tests were carried out. Results: The mean DAI score ${\pm}$ the standard deviation was $18.61{\pm}6.1$. Approximately 85% of the students (83.0% males, 86.8% females) had DAI scores of < 26 and were classified as not requiring orthodontic treatment. One tenth of the sample had mean DAI scores between 26 - 30 (indicating definite malocclusion and elective treatment), while about 3% had mean scores between 31 - 35 (indicating severe malocclusion and treatment desirability). Only 29 children (1.6%; 16 boys, 13 girls) had a DAI score of > 35, which suggested very severe or handicapping malocclusion requiring mandatory treatment. The mean decayed, missing, filled teeth (DMFT) was $2.28{\pm}1.47$. A DMFT of > 0 was observed in 91.8% of the study subjects. Children with a DAI score of > 35 were found to have significantly (p < 0.001) higher caries experience as compared to other children. Moreover, the DAI scores showed a significant correlation with the mean DMFT scores (r = 0.368, p < 0.05). Conclusions: A positive correlation was found between the severity of malocclusion and dental caries.