Study of seasonal incidence and impact of abiotic factors on sucking pests of brinjal

The present investigation was undertaken to find the impact of abiotic factors on seasonal incidence and sucking pest complex of brinjal under field conditions during kharif 2015-2016. The incidence of leaf hopper population (2.80 Lh/L i.e., Leaf hopper mean population/leaf) was noticed during 34th standard week and reached peak by 40th standard week (5.00 Lh/L) (October) whereas the aphid population was noticed during the 34th standard week (3.00 Lh/L) and peak population observed during the 40th standard week (4.60 Lh/L) (October). Correlation studies showed that among the various abiotic factors, maximum temperature showed highly significant positive correlation (r= 0.77) and sunshine hours (r = 0.61) showed significant positive correlation with the leaf hopper population. In case of aphid population, maximum temperature showed significant positive correlation (r = 0.70), rainfall showed highly significant negative correlation (r = -0.74) and relative humidity evening (r = -0.59) showed significant negative correlation with aphid population. The present investigations will give a brief idea about how the abiotic factors influencing the sucking pests of brinjal

Malignant extrarenal rhabdoid tumor of the vulva in an adult

Sarcomas of the vulva account for only 1-3% of all vulvar malignancies. Most common vulvar sarcomas are leiomyosarcomas, malignant fibrohistiocytomas, and aggressive angiomyxomas. Malignant rhabdoid tumor (MRT) of the kidney is a distinctive clinicopathological entity that is recognized as a highly aggressive renal tumor of childhood. Extrarenal malignant rhabdoid tumors have been proposed to exist at several sites, including soft parts. MRT of the vulva is a rare and very aggressive neoplasm. Median survival reported in other studies is 9 months. Only 10 cases have been reported thus far in the English literature. We are reporting the 11 th case who remains disease free 30 months following surgery and radiotherapy till the time of reporting

Fodder Scenario and Hortipastoral Opportunities to Enhance Fodder Production in India

Food grain production and livestock production are closely related in India as crop-residue forms the major source of fodder for livestock. It’s thus assumed that increase in food grain production has positive effect on availability of dry matter to the livestock. Using land use classification, crop production (2015 to 2020) and livestock census (2019) data, dry matter (DM) availability for livestock for 28 states of India was estimated. Hortipastoral opportunities by estimating area available under orchards in southern India were done to assess the possibility of introducing fodder crops in orchards. Some of the fodder crops were introduced in orchards of livestock farmers to know how fodder crops address the issue of fodder availability at household level. The lowest DM available state was Assam (52.80 % availability) and highest available state was Haryana (110.80 %). Eight states have surplus DM (+110.80% to +2.3%). Twelve states experience DM deficiency (-2.96 to -47.20%). Inter spaces in orchards, a niche to cultivate fodder crops to reduce such fodder shortage, estimated to produce 67.13 MT of green fodder sufficing yearly requirement of 13.57 million Adult Cattle Units. Adult Cattle Unit is a reference unit which facilitates the aggregation of livestock from various species and age using specific coefficients derived based on the nutritional and feed requirement of each type of animal. Perennial fodder crops were introduced to 450 Mango and Coconut farmers (from 2016-2021) that reduced fodder shortage (50.6±4.39 to 9±1.64%)

Edge Intelligence with Light Weight CNN Model for Surface Defect Detection in Manufacturing Industry

Surface defect identification is essential for maintaining and improving the quality of industrial products. However, numerous environmental factors, including reflection, radiance, light, and material, affect the defect detection process, considerably increasing the difficulty of detecting surface defects. Deep Learning, a part of Artificial intelligence, can detect surface defects in the industrial sector. However, conventional deep learning techniques are heavy in terms of expensive GPU requirements to support massive computations during the defect detection process.CondenseNetV2, a Lightweight CNN-based model, which performs well on microscopic defect inspection, and can be operated on low-frequency edge devices, was proposed in this research. It provides sufficient feature extractions with little computational overhead by reusing a set of the existing Sparse Feature Reactivation module. The training data are subjected to data augmentation techniques, and the hyper-parameters of the proposed model are fine-tuned with transfer learning. The model was tested extensively with two real datasets while running on an edge device (NVIDIA Jetson Xavier Nx SOM). The experiment results confirm that the projected model can efficiently detect the faults in the real-world environment while reliably and robustly diagnosing them

Evaluation of dentifrices of complementary and alternative medicinal systems on plaque formation and gingivitis : a randomized controlled clinical trial

Bio-film formation is a natural process in the oral environment, but needs to be controlled through regular brushing in order to prevent the development of caries and periodontal diseases. A wide variety of dentifrices of complementary and alternative medicinal systems are available in the market which claims superior plaque control. A randomized controlled double-blinded concurrent parallel clinical trial was conducted with the objective to evaluate and compare the clinical effectiveness of three commercially available dentifrices of complementary and alternative medicine systems with that of a placebo dentifrice on Gingival Index (GI) and Plaque Index (PI) scores after 15, 30, 45 and 60 days of usage among 80 adults aged 35-44 years. The mean GI scores reduced by 29.19 %, 22.28 %, 32.43 % and 10.33 % in the herbal dentifrice, homeopathic dentifrice, conventional dentifrice, and placebo dentifrice groups by the end of the study period. Highest reduction of 33.5% and 34.87 % in PI scores were seen in the herbal and conventional dentifrice. This reduction was statistically significant (p=0.001). The herbal dentifrice tested in the present study has demonstrated anti-gingivitis and anti-plaque efficiency equivocal to the conventional dentifrice. The homeopathic dentifrice was as good as a placebo

Malignant extrarenal rhabdoid tumor of the vulva in an adult

Sarcomas of the vulva account for only 1-3% of all vulvar malignancies. Most common vulvar sarcomas are leiomyosarcomas, malignant fibrohistiocytomas, and aggressive angiomyxomas. Malignant rhabdoid tumor (MRT) of the kidney is a distinctive clinicopathological entity that is recognized as a highly aggressive renal tumor of childhood. Extrarenal malignant rhabdoid tumors have been proposed to exist at several sites, including soft parts. MRT of the vulva is a rare and very aggressive neoplasm. Median survival reported in other studies is 9 months. Only 10 cases have been reported thus far in the English literature. We are reporting the 11 th case who remains disease free 30 months following surgery and radiotherapy till the time of reporting

Contribution of regional versus trans-regional anthropogenic sources to the particulate matter over western India derived from high-resolution modeling

Elevated concentrations of particulate matter (PM) significantly deteriorate the air quality; however, the contributions from regional versus remote anthropogenic sources have remained uncertain over the western Indian region. In this regard, we have performed high-resolution regional modeling (WRF-Chem v3.9.1) to quantify the contribution of regional versus trans-regional anthropogenic sources to PM2.5 (fine PM) and PM2.5-10 (coarse PM) concentrations in contrasting seasons. Seasonal variability in spatial mean Aerosol Optical Depth (AOD) derived from the WRF-Chem model (0.21–0.42) agreed reasonably with MERRA-2 reanalysis (0.29–0.54) and MODIS satellite (0.23–0.51) over western India. Variability in surface PM2.5 and PM10 concentrations were also reproduced as per the benchmarks (|Fractional Bias| ≤ 60% and |Fractional Error| ≤ 75%) at most of the stations in this region. Results from sensitivity simulations reveal the dominant contribution of both regional and trans-regional anthropogenic sources to PM2.5 concentrations over western India in winter and post-monsoon, when PM2.5 concentrations are generally high. On the other hand, contribution from background levels (due to domain-wide natural emissions, fire emissions and pollutant transport from beyond domain boundaries) is highest during pre-monsoon and monsoon with a significant contribution of mineral dust especially to PM2.5-10 (coarse PM). Analysis of PM spatial distribution at ∼900hpa pressure level reveals greater relative contributions of trans-regional emissions and background levels compared to that near the surface. Our study highlights key roles of trans-regional anthropogenic emissions and mineral dust, besides the local and regional emissions, in air pollution over western India. The quantitative analyses presented here would be useful for designing measures to minimize health and environmental impacts in line with the objectives of the National Clean Air Programme (NCAP) in India