241 research outputs found

    First Red List of Medicinal Plants of Andhra Pradesh, India - Conservation Assessment and Management Planning

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    The present article is based on the First Conservation Assessment and Management Planning (CAMP) workshop organized by Medicinal Plants Conservation Centre, Environment Protection Training and Research Institute, Hyderabad, India based on IUCN Red List categories - 2000. In the workshop 50 prioritised medicinal plant species found in Andhra Pradesh were assessed and out of these 39 found to be threatened in the State of Andhra Pradesh, India

    Ethnobotanical Observations on Some Endemic Plants of Eastern Ghats, India

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    The present paper reports ethnobotanical usage of 28 endemic plant species used by the tribes of Eastern Ghats, India. All the species were enumerated with botanical name, family name, vernacular name, habit, habitat and information on ethnic uses

    Ethnomedicinal Importance of Pteridophytes used by Chenchus of Nallamalais, Andhra Pradesh, India

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    The present study focuses specifically on the ethnomedicinal importance of 15 species of Pteridophytes, used by Chenchu tribes occurring in Nallamalais of Andhra Pradesh, India. The botanical name, family name, vernacular name, habit, habitat and their ethnomedicinal uses are provided

    In situ measurement and management of soil, air, noise and water pollution in and around the Limestone mining area of Yerraguntla, YSR kadapa, Andhra Pradesh, India for the sustainable development

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    For emerging countries, mining has been a vital factor in employment, economic development, infrastructure, and supply of essential raw materials for Nation’s Gross domestic product (GDP) growth. The Limestone mine industry is serving as a viable route for economic transformation in India.  Limestone exploration causes major damage to the environment at Yerraguntla industrial zone, YSR Kadapa district, Andhra Pradesh, India. The main objective of this study is to evaluate the environmental Pollution parameter that causes Air, Water, Noise, and Soil pollution in and around limestone quarries started in the early 1984. The present study estimated Air Quality Index (AQI) as 76 based on the air quality sub-index approach using four pollutants (PM10, PM2.5, SO2, NOx) for a period of 24 hrs by taking one sample per hour during the post monsoon. Water Quality Index (WQI) obtained as 303.91 from fourteen physicochemical parameters (pH, EC, fluoride, Total alkalinity etc.) measured from water samples. Soil quality was determined using four physicochemical parameters (pH, EC, WHC, Calcium and Magnesium) from the soil samples collected from ten sampling stations. The obtained pH range was (7.6 to 9.4), EC of the soil was determined as 4,140 µs/cm, the water retention capacity of the soil, ranges from (17.68 to 97.68) %, and the Calcium (Ca2+) and Magnesium (Mg2+) ranged from 74.5 to 272.75 mEq/L. Noise levels were determined as 76.64 dB in the mine’s, 58.16 dB in the cement industry, and 52.285 dB in the mine surrounding villages. This study can help mining sector management’s in developing a sustainable Environmental Management frame work to meet the world sustainable development goals  (SDGs)

    RSCDNet: A Robust Deep Learning Architecture for Change Detection From Bi-Temporal High Resolution Remote Sensing Images

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    Accurate change detection from high-resolution satellite and aerial images is of great significance in remote sensing for precise comprehension of Land cover (LC) variations. The current methods compromise with the spatial context; hence, they fail to detect and delineate small change areas and are unable to capture the difference between features of the bi-temporal images. This paper proposes Remote Sensing Change Detection Network (RSCDNet) - a robust end-to-end deep learning architecture for pixel-wise change detection from bi-temporal high-resolution remote-sensing (HRRS) images. The proposed RSCDNet model is based on an encoder-decoder framework integrated with the Modified Self-Attention (MSA) andthe Gated Linear Atrous Spatial Pyramid Pooling (GL-ASPP) blocks; both efficient mechanisms to regulate the field-of-view while finding the most suitable trade-off between accurate localization and context assimilation. The paper documents the design and development of the proposed RSCDNet model and compares its qualitative and quantitative results with state-of-the-art HRRS change detection architectures. The above mentioned novelties in the proposed architecture resulted in an F1-score of 98%, 98%, 88%, and 75% on the four publicly available HRRS datasets namely, Staza-Tisadob, Onera, CD-LEVIR, and WHU. In addition to the improvement in the performance metrics, the strategic connections in the proposed GL-ASPP and MSA units significantly reduce the prediction time per image (PTPI) and provide robustness against perturbations. Experimental results yield that the proposed RSCDNet model outperforms the most recent change detection benchmark models on all four HRRS datasets

    Study of various congenital anomalies in fetal and neonatal autopsy

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    Background: The study of dead is to save the livings. The growing awareness that still births and infant mortalities are unable to reduction has led to a wide spread desire for more information regarding the cause of these deaths. Congenital malformations have become important cause of fetal and neonatal (perinatal) mortality in developed countries and would very soon be increasingly important determinants of fetal and neonatal mortality in developing countries like India. In spite of antenatal diagnostic modality still the fetal autopsy plays the vital role in the conformation as well as identification of congenital anomalies and also for the counseling of the parents, to prevent the fetal congenital anomalies in further pregnancies. This study was undertaken with the purpose of finding out cause of death during the perinatal period at government maternity hospital and pediatric department S.V.R.R.G.G.H. & S.V. medical college Tirupati, and to study the clinical and pathological findings (Gross & microscopic) in fetal and neonatal death.Methods: The present study of congenital anomalies in fetal and neonatal deaths was done at S.V. medical college, Tirupati, over a time period of 2 years from September 2008 to 2010 August. Consent for autopsy in requested compassionately, respectfully and fully informed. The present study included dead fetus and neonates with gestational age above 20 weeks of intra uterine life and within 7 days of post natal life. All fetuses of gestational age <20 weeks and all neonates above 7 days of age were excluded from the study. The study also obtained clearance from the ethical committee of the institution. Autopsy was performed by standard technique adopted by Edith L. Potter. External and internal findings followed by histopathological examination, and autopsy findings were compared with available ultrasound findings.Results: A total of 46 Autopsies performed, 40 (87%) were fetal deaths, 6 (13%) were early neonatal deaths. In a total of 46 fetuses, there were 13 male and 33 female babies. On external examination of 46 fetal and Neonatal (perinatal) deaths, 8 (17.39%) babies showed congenital malformation. On internal examination of the 46 fetal and Neonatal (perinatal) deaths, 4 babies showed internal congenital anomalies. A total of 46 anatomical and histopathologic examinations were done among fetal and neonatal (perinatal) deaths. Out of 13 autopsies on male babies, 2 had congenital malformation and 33 autopsies on female babies, 7 had congenital malformations. Congenital anomalies were commonest in the birth weight group of 1000-1500 grams accounting for 9 cases. Malformations of central nervous system (33.33%) were most common followed by musculoskeletal system (16.66%), genitourinary and respiratory system (8.33%) respectively.Conclusion: Most number of perinatal deaths occurred in low birth weight and preterm babies. Study of malformations greatly helpful in genetic counseling and prenatal diagnosis in successive pregnancies

    Successful Transplantation of a Split Crossed Fused Ectopic Kidney into a Patient with End-Stage Renal Disease

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    Potential donors with congenital renal anomalies but normal renal function are often overlooked because of a possible increase in technical difficulty and complications associated with the surgery. However, as the waiting list for a deceased donor kidney transplant continues to grow, it is important to consider these kidneys for potential transplant. This paper describes the procurement of a crossed fused ectopic kidney, and subsequent parenchymal transection prior to transplantation as part of a combined simultaneous kidney pancreas transplant. The transplant was uncomplicated, and the graft had immediate function. The patient is now two years from transplant with excellent function
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