A Comparison of Deep Learning Techniques for Glaucoma Diagnosis on Retinal Fundus Images

Glaucoma is one of the serious disorders which cause permanent vision loss if it left undetected. The primary cause of the disease is elevated intraocular pressure, impacting the optic nerve head (ONH) that originates from the optic disc. The variation in optic disc to optic cup ratio helps in early detection of the disease. Manual calculation of Cup to Disc Ratio (CDR) consumes more time and the prediction is also not accurate. Utilizing deep learning for the automatic detection of glaucoma facilitates precise and early identification, significantly enhancing the accuracy of glaucoma detection. The deep learning technique initiates the process by initially pre-processing the image to achieve data augmentation, followed by the segmentation of the optic disc and optic cup from the retinal fundus image. From the segmented Optic Disc (OD)and Optic Cup (OC) feature are selected and CDR calculated. Based on the CDR value the Glaucoma classification is performed. Various deep learning techniques like CNN, transfer learning, algorithm was proposed in early detection of glaucoma. From the comparative analysis glaucoma diagnosis, the proposed deep learning artifact Convolutional Neural Network outperform in early diagnosis of glaucoma providing accuracy of 99.3 8%

Pharmacokinetic interaction between alcohol and two of the commonly prescribed anti-hypertensive drugs-amlodipine and nebivolol

Background: Alcoholism is one of the leading causes of secondary hypertension. Many a times in clinical setting, many hypertensive patients also happen to be alcoholics, either social/moderate drinkers or suffer from alcohol dependence. For these patients, cessation of alcohol consumption is advocated and counselled as part of diet and lifestyle modifications. However, compliance rates have been found to be variable. Therefore, these patients consume alcohol and also take anti-hypertensive medications on a day-to-day basis. This study was initiated to explore influence of alcohol on the pharmacokinetics of anti-hypertensive drugs – Amlodipine and Nebivolol.Methods: 24 human volunteers were recruited for the study after obtaining informed consent. 12 volunteers each for Amlodipine, Nebivolol and alcohol’s effect on the drugs respectively were evaluated. Two standard drinks of alcohol were administered in respective period as per randomization. Clinical confinement and blood sampling was carried out as per ethics committee approved protocol in accordance with good clinical practice principles.Plasma samples were analyzed using validated LC-MS/MS bio-analytical method, for quantification of Nebivolol and Amlodipine in lines with good laboratory practice principles. Pharmacokinetic and statistical analysis of results was evaluated using WinNonlin Version 5.3.Results: The pharmacokinetic parameters were evaluated statistically and ANOVA results suggest that despite changes in individual parameters, the bioavailability was comparable, as both Cmax and AUC0-inf were well within the range of 80-125%.Conclusions: It is clearly observed that there are variations in all pharmacokinetic parameters when the drug is administered with alcohol. However, the same are well within acceptable limits and bioavailability of the drugs is comparable when administered with alcohol. Hence, two standard drinks of alcohol have limited effect on the pharmacokinetics of Amlodipine and Nebivolol. Further studies are required to evaluate influence of higher and frequent doses of alcohol on pharmacokinetics of Amlodipine and Nebivolol

The Impact of El Niño/Southern Oscillation on Hydrology and Rice Productivity in the Cauvery Basin, India: Application of the Soil and Water Assessment Tool

AbstractThis study was performed to further understanding of the variations in hydrology and rice crop productivity during different El Niño/Southern Oscillation (ENSO) events in the Cauvery River Basin of Tamil Nadu, India using the Soil and Water Assessment Tool (SWAT). The entire Cauvery Basin was divided into 301 sub-basins and further subdivided into 3,601 Hydrological Response Units (HRU). Based on the National Oceanic and Atmospheric Administration (NOAA) official website, information on El Niño (1972, 1982, 1987, 1991, 1997, 2002 and 2004) and La Niña (1970, 1971, 1973, 1974, 1975, 1988, 1998, 1999 and 2000) years were obtained. The SWAT model was continuously run from 1970 to 2008, and a composite for El Niño, La Niña and normal years was constructed to understand their influence on hydrology and rice crop productivity in the study area. From the analysis, it was clear that an El Niño episode is correlated with rainfall, hydrology and rice productivity in the Cauvery river basin. The validation of the SWAT model indicated the capability of SWAT to accurately predict stream flow and rice productivity. It was evident from the investigation that the quantum of rainfall was more during El Niño years with high inter-annual rainfall variability (809.3mm to 2,366mm) compared with La Niña and normal years. As a result, the soil water recharge, including percolation and soil water availability in the surface layers, was increased in the El Niño years. Simulated rice productivity over 39 years in the Cauvery Basin ranged between 1,137 and 7,865kgha−1 with a mean productivity of 3,955kgha−1. The coefficient of variation in rice productivity was higher during La Niña (21.4%) years compared with El Niño (14.7%) and normal years (14.6%). The mean rice productivity was increased in both El Niño and normal years, indicating the possibility of higher yields than those in La Niña years. An analysis of the hydrological data and rice productivity showed that the risk of failure was low during El Niño years compared with normal or La Niña years. This behavior could be utilized for forecasting rice crop productivity under different ENSO conditions and can provide information for policy makers when deciding on water allocation and import / export policies

Non-reactive scattering of N2 from the W(110) surface studied with different exchange–correlation functionals

8 páginas, 8 figuras, 1 tabla.-- El Pdf del artículo es la versión post-print.The non-reactive scattering of N2 from the W(110) surface is studied with six dimensional (6D) classical dynamics and two distinct potential energy surfaces (PES). Here, we use the PESs calculated with density functional theory and two different exchange–correlation functionals, the PW91 [J. E. Perdew et al., Phys. Rev. B, 1992, 46, 6671] and the RPBE [B. Hammer et al., Phys. Rev. B, 1999, 59, 7413]. By analyzing the final rotational state and angular distributions, we extract information on the characteristics of the two PESs in the 6D configurational space. Comparison of the theoretical results with the available experimental data provides detailed information on the validity of each functional. In general, the PW91 PES is more corrugated than the RPBE one in all the configurational space, meaning that there is a stronger dependence of the potential energy on the molecular orientation and position over the surface unit cell. Furthermore, we find that the larger corrugation and the less repulsive character exhibited by the PW91 PES seems to be realistic at distances above the chemisorption well. In contrast, the less corrugated RPBE PES performs better in the region below the chemisorption well.This work has been supported in part by the Basque Departamento de Educación, Universidades e Investigación, the University of the Basque Country UPV/EHU (Grant No. IT-366-07) and the Spanish Ministerio de Ciencia e Innovación (Grant No. FIS2010-19609-C02-02).Peer reviewe

Determinants of immunization status of children aged 1-5 years attending a tertiary health care facility: A cross-sectional study

Background: Childhood immunization is one of the key health interventions, which is useful in decreasing the under-five mortality. There has been a recent decline in immunization coverage rates in India as shown by the National Family Health Survey 4. Objective: This study was undertaken with the objective of determining the socio-economic and demographic risk factors associated with partial immunization of children aged 1-5 years attending a tertiary care center in South India. Materials and Methods: This cross-sectional study was done at the outpatient department of Institute of Child Health and Hospital for Children, Chennai, from May 2015 to October 2015. Children aged 1-5 years attending the outpatient department were included by convenient sampling. A sample size of 1100 was calculated based on a pilot study. After obtaining parental informed consent, data were collected on immunization and socio-demographic factors, namely, gender, place of residence, parental education and occupation, family income, number of children, birth order, place of delivery, and awareness of the type of vaccines to be given. The WHO definitions were used to classify immunization status as full, partial, and delayed immunization. Univariate and multivariate logistic regression analyses were performed to determine independent risk factors for partial immunization. Results: Totally, 1104 children were included in the study. 1056 (95.7% [95% confidence interval 94.5-96.9]) were fully immunized, whereas 41 (3.7% [2.59-4.81]) were partially immunized and 7 (0.6% [0.14-1.06]) had delayed immunization. None of the children were totally unimmunized. Univariate analysis identified rural residence, home delivery, having more than 2 children, birth order more than 2, lack of maternal and paternal education beyond primary school level, and lack of awareness on immunization as significant risk factors for partial immunization. After multivariate logistic regression, rural residence, having more than 2 children, and lack of awareness on immunization emerged as independent risk factors for partial immunization. Conclusion: Residing in rural areas, having more than 2 children, and lack of awareness on immunization are significant independent risk factors for a child not being fully immunized

Primary Adenosquamous Carcinoma of Ascending Colon – A Rare Entity

Colorectal cancers (CRC) are on the rise globally with increased incidence rate 5.7/100000 cases in developing countries like India. 1 Majority (90%) of CRC are adenocarcinoma. The primary adenosquamous carcinoma (ASC) of the colon is exceedingly rare variant of adenocarcinoma with incidence of 0.025% and accounts for 0.1% of colonic epithelial malignancies. 2 The squamous differentiation accounts for its aggressiveness and poor prognosis. Here we report a rare case of primary ASC in 80year old male who presented with large bowel obstruction and peritonitis. A 80-year-old male brought to causality with history of fever, vomiting, pain in abdomen, altered sensorium since three days. The clinical examination revealed intestinal obstruction and peritonitis. Patient was immediately subjected for radiological and hematology investigations which showed signs of bowel obstruction and perforation. On emergency exploratory laparotomy, colonic perforation was identified along with an ulcer proliferative mass in ascending colon. Gross examination of right hemicolectomy revealed 9x6x3cm ulcero proliferative mass in ascending colon. The microscopic examination showed an infiltrating tumor composed of adenocarcinoma component and areas of squamous differentiation (60%) noted. Tumor was invading through muscularis propria and serosa. Final diagnosis of primary ASC was made. Colonic ASC is rare and associated with poorer prognosis. The squamous cell differentiation has greater metastatic potential than adenocarcinoma. Compared to adenocarcinoma, ASC is more likely to manifest with advanced disease and complications. Keywords: Adenosquamous, Carcinoma, Colo

The AgMIP Coordinated Climate-Crop Modeling Project (C3MP): Methods and Protocols

Climate change is expected to alter a multitude of factors important to agricultural systems, including pests, diseases, weeds, extreme climate events, water resources, soil degradation, and socio-economic pressures. Changes to carbon dioxide concentration ([CO2]), temperature, andwater (CTW) will be the primary drivers of change in crop growth and agricultural systems. Therefore, establishing the CTW-change sensitivity of crop yields is an urgent research need and warrants diverse methods of investigation. Crop models provide a biophysical, process-based tool to investigate crop responses across varying environmental conditions and farm management techniques, and have been applied in climate impact assessment by using a variety of methods (White et al., 2011, and references therein). However, there is a significant amount of divergence between various crop models’ responses to CTW changes (R¨otter et al., 2011). While the application of a site-based crop model is relatively simple, the coordination of such agricultural impact assessments on larger scales requires consistent and timely contributions from a large number of crop modelers, each time a new global climate model (GCM) scenario or downscaling technique is created. A coordinated, global effort to rapidly examine CTW sensitivity across multiple crops, crop models, and sites is needed to aid model development and enhance the assessment of climate impacts (Deser et al., 2012)..