Analysis of Learned Features and Framework for Potato Disease Detection

For applications like plant disease detection, usually, a model is trained on publicly available data and tested on field data. This means that the test data distribution is not the same as the training data distribution, which affects the classifier performance adversely. We handle this dataset shift by ensuring that the features are learned from disease spots in the leaf or healthy regions, as applicable. This is achieved using a faster Region-based convolutional neural network (RCNN) as one of the solutions and an attention-based network as the other. The average classification accuracies of these classifiers are approximately 95% while evaluated on the test set corresponding to their training dataset. These classifiers also performed equivalently, with an average score of 84% on a dataset not seen during the training phase.Comment: 15 pages, 8 figure

Hospital Supply Chain Management by Implementing RFID

Abstract- Radio Frequency Identification (RFID) systems have been successfully applied and shown its worth in many fields of manufacturing, transportation, agriculture, healthcare and supply chain just to name a few. The use of RFID in healthcare and hospital services has increased significantly over the years due to its credibility and accuracy. RFID technology is acting crucial in item level tracing and tracking systems in hospital scenarios. The aim of the paper is to express and display the role of RFID technology in maintaining the inventory level of medicines and surgical items in hospital warehouses and increase its impact in healthcare. One of the crucial points that should be noted in healthcare is that the medicines and surgical items should be made available at any point of time. The implementation of RFID technology in this area is to ensure patient safety and satisfaction by maintaining a perfect inventory of medicines and surgical items. Keywords- Enterprise management, SCOR model, RFID, healthcare, hospital

Novel optically active lead-free relaxor ferroelectric (Ba0.6Bi0.2Li0.2)TiO3

We discovered a near room temperature lead-free relaxor-ferroelectric (Ba0.6Bi0.2Li0.2)TiO3 (BBLT) having A-site compositional disordered ABO3 perovskite structure. Microstructure-property relations revealed that the chemical inhomogeneities and development of local polar nano regions (PNRs) are responsible for dielectric dispersion as a function of probe frequencies and temperatures. Rietveld analysis indicates mixed crystal structure with 80% tetragonal structure (space group P4mm) and 20% orthorhombic structure (space group Amm2) which is confirmed by the high resolution transmission electron diffraction pattern. Dielectric constant and tangent loss dispersion with and without illumination of light obey nonlinear Vogel-Fulture relation. It shows slim polarization-hysteresis (P-E) loops and excellent displacement coefficients (d33 ~ 233 pm/V) near room temperature, which gradually diminish near the maximum dielectric dispersion temperature (Tm). The underlying physics for light-sensitive dielectric dispersion was probed by X-ray photon spectroscopy (XPS) which strongly suggests that mixed valence of bismuth ions, especially Bi5+ ions, are responsible for most of the optically active centers. Ultraviolet photoemission measurements showed most of the Ti ions are in 4+ states and sit at the centers of the TiO6 octahedra, which along with asymmetric hybridization between O 2p and Bi 6s orbitals appears to be the main driving force for net polarization. This BBLT material may open a new path for environmental friendly lead-free relaxor-ferroelectric research.Comment: 23 pages, 5 figure

Solid lipid nanoparticles of irbesartan: preparation, characterization, optimization and pharmacokinetic studies

Irbesartan is an antihypertensive with limited bioavailability and solid lipid nanoparticles (SLN) is one of the approaches to improve bioavailability. Solid lipid nanoparticles were prepared using glyceryl monostearate by solvent emulsification method followed by probe sonication. Irbesartan loaded SLNs were characterized and optimized by parameters like particle size, zeta potential, surface morphology entrapment efficiency and in vitro release. The optimized formulation was then further evaluated for the pharmacokinetic studies in Wistar rats. Irbesartan-loaded SLN of particle size 523.7 nm and 73.8% entrapment efficiency showed good bioavailability in Wistar rats and also showed optimum stability in the studies. The SLN prepared using glyceryl monostearate by solvent emulsification method leads to improve bioavailability of the drug

Riverbank Filtration: A Sustainable Process to Attenuate Contaminants during Drinking Water Production

Riverbank filtration leads to purification of water. For India it can be a simple, economical and effective alternative. A few unanswered questions were: Can it work in Indian mountainous regions? Will it be of any advantage in the case of some of the polluted Indian surface waters? With the goal to evaluate use of riverbank filtration as a sustainable technology under widely varying conditions prevalent in India, the effectiveness of riverbank filtration has been examined over the last 10 years. In the case of cleaner surface waters, the wells deliver water free of turbidity and coliform even during monsoon irrespective of well configuration. In the case of polluted source waters, it results in an overall advantage in terms of improved raw water quality, reduced degree and cost of subsequent treatment and decreased levels of disinfection by-products. The study shows riverbank filtration to be an effective and sustainable option for plains as well as the mountainous region

Role of inflammation as reflected by serum hsCRP and ferritin level in major depressive disorder

Background: The relationship between depression and inflammation has been strengthened by different studies for which Immune Cytokine Mechanism has been proposed to explain pathogenesis of depression.Methods: The role of inflammation in major depressive disorder (MDD) has been evaluated in this study among 101 patients suffering from MDD along with 106 age and sex matched control subjects. Two well known acute phase reactant proteins namely hsCRP and Ferritin were assayed in all study subjects by Enzyme Immuno Assay method.Results: Concentration of hsCRP in serum was found to be significantly increased in all patients suffering from MDD whereas Ferritin level was found to be significantly decreased in male MDD subjects only (male: 70.6 ng/ml±53.54 ng/ml in MDD vs 100.16 ng/ml±39.93 in controls; female: 38.43 ng/ml±11.2 in MDD vs 39.93 ng/ml±15.0 in controls). There was no significant alteration of the parameters among different grades of MDD. The possibility of these two parameters to be used as biomarkers has also been evaluated by ROC curve.Conclusions: The significant change in hsCRP & Ferritin which is not associated with grade wise alteration suggests that probably inflammation is the early event which causes depression. Therefore no gradual change is observed with increase in severity of the disease. hsCRP can be used as a biomarker of Inflammation in MDD cases

Cyto-histological correlation of salivary gland lesions- a prospective study in a tertiary care institute

Background: Fine needle aspiration cytology (FNAC) has an essential proven role in diagnosing most of the common and benign salivary gland lesions. However, limited cellularity and morphological heterogeneity of the lesion can pose diagnostic challenges. The present study was conducted in a tertiary care centre over a period of one year with an objective to study the cyto-morphological features of salivary gland lesions and correlate cytological findings with histopathology.Methods: The study was carried out over a period of one year from January 2014 to December 2014. FNA specimens obtained from 78 patients were analyzed. Of these, only 51 patients underwent biopsy or surgery and their specimens were subjected to histopathological examination. Validation of cytological diagnosis was done on the basis of histopathological diagnosis.Results: A total 78 patients with salivary gland lesions were subjected to FNAC. Non neoplastic lesions constituted 19 cases (25%) and benign lesions constituted 46 cases (80.70%).  Malignant lesions constituted 11 cases (19.30%). Two cases were inconclusive due to inadequate aspirated material. Overall sensitivity, specificity and diagnostic accuracy were 95.98%, 99.20% and 98.09% respectively.Conclusions: FNAC continues to be an accurate diagnostic technique in the hands of an experienced cytopathologist. It is a highly sensitive and specific technique for rapid diagnosis of most of the salivary gland swellings