A Deep Neural Network-Based Model for Named Entity Recognition for Hindi Language

The aim of this work is to develop efficient named entity recognition from the given text that in turn improves the performance of the systems that use natural language processing (NLP). The performance of IoT-based devices such as Alexa and Cortana significantly depends upon an efficient NLP model. To increase the capability of the smart IoT devices in comprehending the natural language, named entity recognition (NER) tools play an important role in these devices. In general, the NER is a two-step process that initially the proper nouns are identified from text and then classify them into predefined categories of entities such as person, location, measure, organization and time. NER is often performed as a subtask while processing natural languages which increases the accuracy level of a NLP task. In this paper, we propose deep neural network architecture for named entity recognition for the resource-scarce language Hindi, based on convolutional neural network (CNN), bidirectional long short-term memory (Bi-LSTM) neural network and conditional random field (CRF). In the proposed approach, initially, we use skip-gram word2vec model and GloVe model to represent words in semantic vectors which are further used in different deep neural network-based architectures. In the proposed approach, we use character- and word-level embedding to represent the text that includes information at fine-grained level. Due to the use of character-level embeddings, the proposed model is robust for the out-of-vocabulary words. Experimental results show that the combination of Bi-LSTM, CNN and CRF algorithms performs better as compared to the other baseline methods such as recurrent neural network, long short-term memory and Bi-LSTM individually

Antimicrobial Efficacy of Acacia nilotica, Murraya koenigii L. Sprengel, Eucalyptus hybrid, Psidium guajava extracts and their combinations on Fusobacterium nucleatum and Porphyromonas gingivalis

Background: The herbal extracts have been effectively tried in the treatment and prevention of many oral diseases. Aim: The aim is to assess the antimicrobial efficacy of Acacia nilotica, Murraya koenigii L. Sprengel, Eucalyptus hybrid, Psidium guajava extracts and their combinations on Fusobacterium nucleatum (Fn) and Porphyromonas gingivalis (Pg). Materials and Methods: The extraction process was carried out by Soxhlet apparatus using ethanol as solvent. The combinations of the four plant extracts were prepared by combining an equal quantity of 10% solution of each of the four plant extracts. The antimicrobial efficacy testing of the plant extracts and their combinations on Fn and Pg was performed using agar well diffusion method. Columbia 5% of sheep blood agar plates were used for antimicrobial efficacy testing under anaerobic conditions. The qualitative assay was carried out to identify the various phytochemical constituents. Dimethyl sulfoxide and 0.2% chlorhexidine acted as negative and positive controls, respectively. The mean diameter of inhibition zone between different categories was compared using one-way analysis of variance. Results: All the individual plant extracts and their double, triple, and quadruple combinations were effective in inhibiting the growth of these bacteria. However, 0.2% chlorhexidine produced the highest mean diameter of inhibition zone. Conclusion: The plant extracts in combinations offer enhanced antimicrobial efficacy due to their synergistic action besides slowing the development of bacterial resistance. Hence, these extracts in combinations could be used tried as effective alternates to chlorhexidine

Minimum inhibitory concentration of the plant extracts′ combinations against dental caries and plaque microorganisms: An in vitro study

Introduction: Oral health status has witnessed marked advances in many industrialized countries. However, dental caries is consistently increasing in developing countries, and periodontal diseases are among most common afflictions to humankind. Approach best suited for developing countries is to focus on the prevention with innovative strategies. Hence, evolution of novel, innovative strategies to prevent dental caries and periodontal diseases is need of hour. Objective: To determine minimum inhibitory concentration (MIC) of combinations of Acacia nilotica, Murraya koenigii L. Sprengel, Eucalyptus hybrid, and Psidium guajava against dental caries and plaque microorganisms and to qualitatively identify various phytochemical constituents in individual plant extracts and their quadruple combinations. Materials and Methods: MIC of the combinations of A. nilotica, M. koenigii L. Sprengel, Eucalyptus hybrid, and P. guajava on Streptococcus mutans, Lactobacillus acidophilus (dental caries bacteria), Streptococcus sanguis, Streptococcus salivarius (primary plaque colonizers), Fusobacterium nucleatum (secondary plaque colonizer), and Porphyromonas gingivalis (tertiary plaque colonizer) was determined using broth dilution method. Series of dilutions of quadruple combinations ranging from 0.05% to 1.5% were prepared. 100 μL of each serial dilution of quadruple combinations was added to each tube containing bacterial culture. The optical density was noted after incubation in each tube to estimate the MIC for each bacterium. Results: MIC of the polyherbal combinations on S. mutans, S. sanguis, S. salivarius, L. acidophilus, F. nucleatum, and P. gingivalis was found to be 0.25%, 0.05%, 0.05%, 0.1%, 0.25%, and 0.25%, respectively. Conclusion: The quadruple combinations of these four plant extracts could be considered in the evolution of an indigenous polyherbal mouth rinse as the formulation inhibited all the bacteria tested in the present study at low concentrations

Low triiodothyronine predicts mortality in critically ill patients

Objective: Alteration in thyroid hormones are seen in critically ill patients admitted to intensive care units. Our objective was to study the thyroid hormone profile, prolactin and, glycosylated hemoglobin (HbA1c) at admission and analyze their correlation with mortality. Materials and Methods: In this single centre, prospective, observational study, 100 consecutive patients (52M; 48F) admitted to medical ICU irrespective of diagnosis were included. Patients with previous thyroid disorders and drugs affecting thyroid function were excluded. All participants underwent complete physical examination and a single fasting blood sample obtained at admission was analyzed for total triiodothyronine (T3), total thyroxine (T4), thyroid stimulating hormone (TSH), HbA1c, and prolactin. The patients were divided into two groups: Group 1 - survivors (discharged from the hospital) and Group 2 - nonsurvivors (patients succumbed to their illness inside the hospital). The data were analyzed by appropriate statistical methods and a P-value of <0.05 was considered significant. Results: The mean age of the participants was 58.7 ± 16.9 years and the mean duration of ICU stay was 3.3 ± 3.1 days. A total of 64 patients survived, whereas remaining 36 succumbed to their illness. The baseline demographic profile was comparable between survivors and nonsurvivors. Nonsurvivors had low T3 when compared with survivors (49.1 ± 32.7 vs. 66.2 ± 30.1, P = 0.0044). There was no significant difference observed between survivors and nonsurvivors with respect to T4, TSH, HbA1c, and prolactin. Conclusion: Our study showed that low T3 is an important marker of mortality in critically ill patients. Admission HbA1c, prolactin, T4, and TSH did not vary between survivors and nonsurvivors

Population genetic structure of malaria vector <i style="mso-bidi-font-style:normal">Anopheles stephensi</i> using mitochondrial Cytochrome oxidase II gene in Indian populations

996-1002The genetic differentiation in A. stephensi based on haplotype diversity using Restriction Fragment Length Polymorphism and by sequencing of CO II gene across different localities in India has been analyzed. The presence of only one DraI restriction site in CO II gene conferred to haplotype B indicating that the gene is very much conserved and the gene flow is not affected even by a major geographical distance barrier. The sequencing and analysisof various population parameters revealed seven haplotypes in all populations. The West Bengal population was found to be more genetically diverse than others. The geographic distance between populations was found to be contributing to the genetic differentiation. The sign of demographic expansion were found in three of the five populations. The local geographic barriers were found to be ineffective in prevention of gene flow

Enriching the annotation of Mycobacterium tuberculosis H37Rv proteome using remote homology detection approaches: Insights into structure and function

The availability of the genome sequence of Mycobacterium tuberculosis H37Rv has encouraged determination of large numbers of protein structures and detailed definition of the biological information encoded therein; yet, the functions of many proteins in M. tuberculosis remain unknown. The emergence of multidrug resistant strains makes it a priority to exploit recent advances in homology recognition and structure prediction to re-analyse its gene products. Here we report the structural and functional characterization of gene products encoded in the M. tuberculosis genome, with the help of sensitive profile-based remote homology search and fold recognition algorithms resulting in an enhanced annotation of the proteome where 95% of the M. tuberculosis proteins were identified wholly or partly with information on structure or function. New information includes association of 244 proteins with 205 domain families and a separate set of new association of folds to 64 proteins. Extending structural information across uncharacterized protein families represented in the M. tuberculosis proteome, by determining superfamily relationships between families of known and unknown structures, has contributed to an enhancement in the knowledge of structural content. In retrospect, such superfamily relationships have facilitated recognition of probable structure and/or function for several uncharacterized protein families, eventually aiding recognition of probable functions for homologous proteins corresponding to such families. Gene products unique to mycobacteria for which no functions could be identified are 183. Of these 18 were determined to be M. tuberculosis specific. Such pathogen-specific proteins are speculated to harbour virulence factors required for pathogenesis. A re-annotated proteome of M. tuberculosis, with greater completeness of annotated proteins and domain assigned regions, provides a valuable basis for experimental endeavours designed to obtain a better understanding of pathogenesis and to accelerate the process of drug target discovery. (C) 2014 Elsevier Ltd. All rights reserved