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Papers by om pandey

Toxicology International

Shodhita Haratala (processed orpiment) is a single ingredient of Rasamanikya (RM). Arsenicals are... more Shodhita Haratala (processed orpiment) is a single ingredient of Rasamanikya (RM). Arsenicals are known for producing toxic effects in humans, if not processed as per classical text therefore, the present study was aim to generate data for the safety of RM in albino rats. In the present study, two samples of RM were prepared by using two different purification media of orpiment, i.e., juice of Benincasa hispida (Thunb.) Cong. and lime water. Extract of Tinospora cordifolia Linn. (GG) was used as an adjuvant. Both the samples of RM along with GG were administered to the albino rats for 60 consecutive days at the therapeutic dose, TED (90 mg/kg) and TED×5 (450 mg/kg) orally in albino rats. Sample of RM along with GG not having the potential to produce any mutagenic or genotoxicity effects in albino rats. Further, there is no significant difference found in the safety of the orpiment on changing of media for purification.

The Healer

Amrutikarana is a process explained in Ayurveda classics to remove any remaining blemishes from B... more Amrutikarana is a process explained in Ayurveda classics to remove any remaining blemishes from Bhasma preparations and improve their efficacy. It is mainly indicated in the context of Abhraka, Lauha and Tamra Bhasma. Abhraka Bhasma is one of the most widely used Bhasma preparations in Ayurveda with the most diverse methods and number of Puta. Aim & Objective: To develop SMP for Abhraka Bhasma Amrutikarana with Triphala Kwatha and Goghrita. Material & methods: Raw materials were procured from a pharmacy of a government institute and local area. Shodhana was done by Nirvapa in Godugdha, followed by Dhanyabhraka in Kanji and Marana with Eranda patra Swarasa and Guda till 60 Puta. Amrutikarana was done by mild heating with Triphala Kwatha and Goghrita till Madhyama Paka. Results: The color changed from black to red in Marana process and red to black after Amrutikarana. The average weight gain was 32% to 36%. Almost exponential change in the duration was seen with batch size. Stages of ...

Journal of the Indian Chemical Society, 2006

The in situ reactions of 1-phenyl-3-(4-chlorophenyl/4-nitrophenyl/4-methoxyphenyl)-diketone with ... more The in situ reactions of 1-phenyl-3-(4-chlorophenyl/4-nitrophenyl/4-methoxyphenyl)-diketone with 2,6diaminopyridine in the presence of oxovanadium(JV) sulphate yield macrocyclic complexes of type [VO(mac)]S0 4 • Attempts to synthesize the corresponding metal free macrocyclic ligands did not prove successful. The magnetic moment~ of the complexes lie in the •range I. 70-1.75 lln• suitable for complexes with one unpaired electron. The electronic spectra exhibit three bands. The infrared spectra indicate that the ligands coordinate through four azomethine nitrogen atoms. The nuid solution EPR spectra show an eight line pattern typical for a mononuclear vo1V complexes. The spectral studies support square-pyramidal geometry for the vanadium(IV) complexes.

2016 Asia-Pacific Microwave Conference (APMC), 2016

A low profile, coplanar waveguide (CPW) fed folded slot antenna is presented. Artificial magnetic... more A low profile, coplanar waveguide (CPW) fed folded slot antenna is presented. Artificial magnetic conductor (AMC) is employed in the structure to make it unidirectional. The design of folded slot antenna (FSA) having bi-directional radiation pattern is first illustrated. AMC and Perfect electric conductor (PEC) are used as a reflector with FSA for achieving uni-directional radiation pattern. Comparative study of PEC and AMC loaded FSA is shown. Overall thickness of the proposed AMC loaded FSA is only λ0/17.72 at the design frequency of 1.82 GHz. measured results confirm the utility of AMC by enhancing the gain of ∼ 3 dB in the broadside direction. This low-profile antenna with uni-directional pattern could be a good candidate for GSM (1.71–1.93 GHz) applications.

Advances in Visual Computing, 2020

Plagiarism detection is a widely used technique to uniquely identify quality of work. We address ... more Plagiarism detection is a widely used technique to uniquely identify quality of work. We address in this paper, the problem of predicting similarities amongst a collection of documents. This technique has widespread uses in academic institutions. In this paper, we propose a simple yet effective method for detection of plagiarism by using a robust word detection and segmentation procedure followed by a convolution neural network (CNN)-Bi-directional Long Short Term Memory (biLSTM) pipeline to extract the text. Our approach also extract and encodes common patterns like scratches in handwriting for improving accuracy on real-world use cases. The extracted information from multiple documents using comparison metrics are used to find the documents which have been plagiarized from a source. Extensive experiments in our research show that this approach may help simplify the examining process and can act as a cheap viable alternative to many modern approaches used to detect plagiarism from handwritten documents.

2017 IEEE Applied Electromagnetics Conference (AEMC), 2017

A low profile, frequency switchable, coplanar waveguide (CPW) fed folded slot antenna is presente... more A low profile, frequency switchable, coplanar waveguide (CPW) fed folded slot antenna is presented. Switches and artificial magnetic conductor (AMC) are employed in the structure to make it frequency switchable and unidirectional respectively. The design of folded slot antenna (FSA) at 1.84 GHz is first illustrated. Later, the design is modified to be switchable by imposing switches in the slots. These switches manipulates the effective electrical length of antenna thus yields the change in the resonant frequency from 1.84 GHz to 2.43 GHz. Artificial magnetic conductor (AMC) is used as a reflector to make antenna compact and unidirectional. Overall thickness of the proposed AMC loaded frequency switchable FSA is approximately λ0/17 at the design frequencies. Simulation and measurement results confirm the reflecting property of AMC by enhancing the gain of s 3 dB in the broadside direction. This low-profile antenna with relatively high gain could be a good candidate for GSM (1.71–1.93 GHz) and WLAN (2.40–2.48 GHz) applications.

IEEE Access, 2020

In this paper, we propose a novel method of cluster analysis called unsupervised functional link ... more In this paper, we propose a novel method of cluster analysis called unsupervised functional link artificial neural networks (UFLANNs), which inherit the best characteristics of functional link artificial neural networks and self-organizing feature maps (SOFMs). UFLANNs adopt three types of basis functions such as Chebyshev, Legendre orthogonal polynomials, and power series for mapping the input data into a new feature space with higher dimensions, where the objects are clustered based on the principle of competitive learning of SOFMs. The effectiveness of this algorithm has been tested with various artificial and real-life datasets including remote sensing images. A thorough comparison with other popular clustering algorithms shows that the proposed method is promising in revealing clusters from many complex datasets.

International Journal of Computer Applications in Technology, 2020

This paper proposes a novel Computer-Aided Diagnosis System (CADS) model using Artificial Intelli... more This paper proposes a novel Computer-Aided Diagnosis System (CADS) model using Artificial Intelligence (AI) to segment liver form abdomen CT scan. Deep Learning Convolutional Neural Network (DL-CNN) model is proposed to train the program to classify normal and abnormal liver images. For training data set generation, another novel Region of Interest (ROI) based thresholding image processing technique is proposed. DL-CNN network is also compared with the basic CNN model to understand the difference between basic and deep learning networks. The basic CNN model yielded an accuracy of 50.00% while the DL-CNN model achieved an accuracy of 98.75%. It is also compared with other existing models like AlexNet, AdaBoostM1 and classifiers such as naive Bayes, KNN, SVM and random forest classifier models. This model will be useful for provincial hospitals in diagnosing patients, it will also help radiologists in providing more accurate and faster diagnosis by reducing human errors.

Physical and Engineering Sciences in Medicine, 2021

Sudden cardiac death (SCD) is a major cause of death among patients with heart diseases. It occur... more Sudden cardiac death (SCD) is a major cause of death among patients with heart diseases. It occurs mainly due to ventricular tachyarrhythmia (VTA) which includes ventricular tachycardia (VT) and ventricular fibrillation (VF) conditions. The main challenging task is to predict the VTA condition at a faster rate and timely application of automatic external defibrillator (AED) for saving lives. In this study, a VF/VT classification scheme has been proposed using a deep neural network (DNN) approach using hybrid time-frequency-based features. Two annotated public domain ECG databases (CUDB and VFDB) were used as training, test, and validation of datasets. The main motivation of this study was to implement a deep learning model for the classification of the VF/VT conditions and compared the results with other standard machine learning algorithms. The signal is decomposed with the wavelet transform, empirical mode decomposition (EMD) and variable mode decomposition (VMD) approaches and twenty-four are extracted to form a hybrid model from a window of length 5 s length. The DNN classifier achieved an accuracy (Acc) of 99.2%, sensitivity (Se) of 98.8%, and specificity (Sp) of 99.3% which is comparatively better than the results of the standard classifier. The proposed algorithm can detect VTA conditions accurately, hence could reduce the rate of misinterpretations by human experts and improves the efficiency of cardiac diagnosis by ECG signal analysis.

In this regional heat flow study of New Zealand temperatures have been measured in available bore... more In this regional heat flow study of New Zealand temperatures have been measured in available boreholes using a specially constructed thermistor probe, and existing temperature information has been incorporated from various sources including oil prospecting boreholes. Thermal conductivity has been measured in the laboratory on 581 samples. Newly determined values of heat flow are given for 105 locations; values for the South Island are here presented for the first time. Most of the heat flow values have been grouped in eight regions based on the level of heat flow. This classification can be related to the occurrence of certain surface manifestations and geophysical anomalies, and to regional plate tectonics. High heat flow in three regions is consistent with melting conditions being reached at depths between 35km and 45km. These are the Taranaki Region, the West Coast Region and the Great South Basin. The average regional heat flow for these regions varies from 86.4 mW/m2 to 110.7 m...

Journal of Medical pharmaceutical and allied sciences, 2021

Quantitative and Qualitative exploration of clinical and diagnostic data using advanced analytics... more Quantitative and Qualitative exploration of clinical and diagnostic data using advanced analytics could unravel hidden medical knowledge by finding correlations, causations, and associations between apparently independent variables. Therefore, the scope and use and of Data Mining techniques in the current healthcare system is increasing steadily. In regard to this, we will discuss the disciplines, methods, models, algorithms, and results, and how these techniques would help in performing studies including but not limited to long-term prospective and retrospective studies, population studies, correlation studies, multicentric, multiracial, phased studies, meta-analysis, pharmacovigilance, etc. on Ayurvedic drugs and methods. We have discussed the applications of Data Mining on healthcare that is being implemented in developed countries. We have also discussed the issues like lack of quality data and record-keeping, and other issues and challenges in conducting ayurvedic studies in In...

International Journal of Dermatology, 2021

Annals of Ayurvedic Medicine, 2020

Background: Lichen simplex chronicus (LSC) is also termed as Neurodermatitis in medical science. ... more Background: Lichen simplex chronicus (LSC) is also termed as Neurodermatitis in medical science. It is one among skin diseases characterized by polygonal, flat-topped, violaceous papules and plaques with chronic itching and scratching. It is accompanied by some inflammatory signs like redness, burning, exudation. There are several endogenous and exogenous factors responsible for the aggravation of the disease. In Ayurveda, it resembles with Vicharchika, a type of Kshudra Kusthawhich is Kapha dominant skin disorder with some similar clinical features with lichen planus. Method:A female patient of age 32 visited OPD with chief complaints of LSC. Since conventional therapy used in this condition was unsatisfactory and having certain adverse effects, patient opted for Ayurvedic treatment. Patient was treated with internal and external polyherbal formulations for 3 months in tapering order and follow up of 1 month according to the disease Vicharchika. Result: Relief in all signs and symptoms along with new complaints like hair-fall and white discharge was observed. The relief was stable even after follow up and no adverse effect was found. Conclusion: Present case study shows that traditional herbal medicines may prove effective in such skin disorders and improve the overall quality of life with minimum or no adverse effects.

Physica B: Condensed Matter, 2019

In this reported work, the potential application of MnO 2 nanopowder for photocatalytic and the e... more In this reported work, the potential application of MnO 2 nanopowder for photocatalytic and the electrocatalytic applications is explored. The MnO 2 nanopowder has been synthesized through sonochemical route using KMnO 4 and poly-ethylene glycol as the reducing agent. Structural and optical analysis (XRD, TEM, FTIR, XPS and UV-visible) confirmed the formation of nanocrystalline MnO 2 network. The adsorption and photocatalytic performance of synthesized MnO 2 was tested for degradation of methylene blue dye and p-nitrophenol (2 mg/L) under dark chamber and household CFL lamp exposure, respectively. The electrochemical studies in alkaline (0.5 M KOH) medium shows the electric double layer capacitance of 7.4 mFcm-2 suggesting its potential application for energy storage devices. The synthesized compound exhibited excellent stability after 1000 CV cycles (~4% current loss) where Volmer reaction was observed as the rate determining step for the electrocatalytic hydrogen evolution reaction.

Information Processing in Agriculture, 2018

This paper attempts to analyze the kinetics involved in the drying of green peas in 'with blanchi... more This paper attempts to analyze the kinetics involved in the drying of green peas in 'with blanching' and 'without blanching' techniques. Blanching by hot water mixed with a solution of citric acid (0.1-0.2 mg/ml) at 70°C-100°C is the treatment provided to the samples of green peas. Experimental analysis shows that the moisture content in green peas of three different sizes is reduced at different temperatures and demonstrates the effect of the rate of drying of the moisture content. Under different diameters and temperatures, the parameters are analyzed using 'with blanching' and 'without blanching' techniques. It is observed that 'with blanching' process plays a significant role in the reduction of moisture content under different temperatures and diameters in a lesser time as compared to 'without blanching'. The operative activation energy and moisture diffusivity are described by using Fick's law of diffusion. The calculation of effective moisture diffusivity can be done via the utilization of slope. The drying data is subjected to two models of mathematical nature: Simple Exponential model, and Page model. The performance of these models is examined by means of comparing the coefficient of determination (R 2), chi-square (v 2) and root mean square error (RMSE) between the experimental and forecasted value of moisture ratio obtained 'with blanching' and 'without blanching'. The experimental data was seen to be in accordance with the Page model. The comparisons of energy consumption, energy efficiency and also the cost of the drying processes for 'with blanching' and 'without blanching' have been accomplished to optimize and reduce process condition and the cost of the process, respectively.

IET Wireless Sensor Systems, 2018

Localisation of sensor nodes in a wireless sensor network (WSN) is an important problem in variou... more Localisation of sensor nodes in a wireless sensor network (WSN) is an important problem in various applications like cyber-physical systems, Internet of things and context aware pervasive systems. Cooperative localisation using multidimensional scaling (MDS) has been used successfully in many localisation applications. A primary requirement in MDS is the computation of accurate distance estimates between pairs of nodes in a WSN. However, the estimated distances are erroneous in MDS especially for node pairs that are connected using multiple hops. This leads to an overall increase in error of location estimates. A recent development in social networks called small world phenomena can be introduced in a WSN leading to small world WSN (SW-WSN). SW-WSN exhibits low average path length and high average clustering coefficient and yields accurate distance estimates between pairs of nodes. In this work, a novel cooperative localisation method that uses heterogeneous nodes (H-nodes) is proposed over SW-WSN. In addition, two optimal H-node allocation methods are also developed for the cooperative localisation method. The significance of the proposed method in reducing localisation error, energy consumption, and bandwidth requirement is illustrated by simulations and extensive experiments on a real WSN testbed.

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Journal of biomedical materials research. Part A, Jan 25, 2018

In the present study, novel mesoporous bioactive glasses (MBGs) (15-x)CuO-xMgO-10P O -60SiO -10Ca... more In the present study, novel mesoporous bioactive glasses (MBGs) (15-x)CuO-xMgO-10P O -60SiO -10CaO-5ZnO (2.5 ≤ x ≤ 12.5, varying in steps of 2) are synthesized using the sol-gel technique. The structural phases of the glasses/glass ceramics were studied by XRD. The pH variation and simulated body fluids (SBF) studies demonstrated the in-vitro bioactivity of all the MBGs. MBGs possess surface area variation between 98.22 and 442.41 cm /g. The pore size of MBGs lies in the range of 5.8-8.8 nm. The cytotoxicity assays were conducted for MG63 human osteosarcoma cell line depicting non-toxic behavior of all MBGs at 7.8125 μg/ml. In addition to this, the effect of the magnesium on the gene expression was also investigated using reverse transcription-polymerase chain reaction (RT-qPCR). The MBGs were loaded with the antibacterial (vancomycin/amoxicillin), anticancerous (doxorubicin), and analgesic (Iburofen) drugs. Ibuprofen and amoxicillin drugs were almost fully loaded in all the MBGs, w...

ABSTRACTAsthma is a common, under-diagnosed disease affecting all ages. We sought to identify a n... more ABSTRACTAsthma is a common, under-diagnosed disease affecting all ages. We sought to identify a nasal brush-based classifier of mild/moderate asthma. 190 subjects with mild/moderate asthma and controls underwent nasal brushing and RNA sequencing of nasal samples. A machine learning-based pipeline identified an asthma classifier consisting of 90 genes interpreted via an L2-regularized logistic regression classification model. This classifier performed with strong predictive value and sensitivity across eight test sets, including (1) a test set of independent asthmatic and control subjects profiled by RNA sequencing (positive and negative predictive values of 1.00 and 0.96, respectively; AUC of 0.994), (2) two independent case-control cohorts of asthma profiled by microarray, and (3) five cohorts with other respiratory conditions (allergic rhinitis, upper respiratory infection, cystic fibrosis, smoking), where the classifier had a low to zero misclassification rate. Following validati...

ChemInform, 2010

ABSTRACT ChemInform is a weekly Abstracting Service, delivering concise information at a glance t... more ABSTRACT ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.

Toxicology International

Shodhita Haratala (processed orpiment) is a single ingredient of Rasamanikya (RM). Arsenicals are... more Shodhita Haratala (processed orpiment) is a single ingredient of Rasamanikya (RM). Arsenicals are known for producing toxic effects in humans, if not processed as per classical text therefore, the present study was aim to generate data for the safety of RM in albino rats. In the present study, two samples of RM were prepared by using two different purification media of orpiment, i.e., juice of Benincasa hispida (Thunb.) Cong. and lime water. Extract of Tinospora cordifolia Linn. (GG) was used as an adjuvant. Both the samples of RM along with GG were administered to the albino rats for 60 consecutive days at the therapeutic dose, TED (90 mg/kg) and TED×5 (450 mg/kg) orally in albino rats. Sample of RM along with GG not having the potential to produce any mutagenic or genotoxicity effects in albino rats. Further, there is no significant difference found in the safety of the orpiment on changing of media for purification.

The Healer

Amrutikarana is a process explained in Ayurveda classics to remove any remaining blemishes from B... more Amrutikarana is a process explained in Ayurveda classics to remove any remaining blemishes from Bhasma preparations and improve their efficacy. It is mainly indicated in the context of Abhraka, Lauha and Tamra Bhasma. Abhraka Bhasma is one of the most widely used Bhasma preparations in Ayurveda with the most diverse methods and number of Puta. Aim & Objective: To develop SMP for Abhraka Bhasma Amrutikarana with Triphala Kwatha and Goghrita. Material & methods: Raw materials were procured from a pharmacy of a government institute and local area. Shodhana was done by Nirvapa in Godugdha, followed by Dhanyabhraka in Kanji and Marana with Eranda patra Swarasa and Guda till 60 Puta. Amrutikarana was done by mild heating with Triphala Kwatha and Goghrita till Madhyama Paka. Results: The color changed from black to red in Marana process and red to black after Amrutikarana. The average weight gain was 32% to 36%. Almost exponential change in the duration was seen with batch size. Stages of ...

Journal of the Indian Chemical Society, 2006

The in situ reactions of 1-phenyl-3-(4-chlorophenyl/4-nitrophenyl/4-methoxyphenyl)-diketone with ... more The in situ reactions of 1-phenyl-3-(4-chlorophenyl/4-nitrophenyl/4-methoxyphenyl)-diketone with 2,6diaminopyridine in the presence of oxovanadium(JV) sulphate yield macrocyclic complexes of type [VO(mac)]S0 4 • Attempts to synthesize the corresponding metal free macrocyclic ligands did not prove successful. The magnetic moment~ of the complexes lie in the •range I. 70-1.75 lln• suitable for complexes with one unpaired electron. The electronic spectra exhibit three bands. The infrared spectra indicate that the ligands coordinate through four azomethine nitrogen atoms. The nuid solution EPR spectra show an eight line pattern typical for a mononuclear vo1V complexes. The spectral studies support square-pyramidal geometry for the vanadium(IV) complexes.

2016 Asia-Pacific Microwave Conference (APMC), 2016

A low profile, coplanar waveguide (CPW) fed folded slot antenna is presented. Artificial magnetic... more A low profile, coplanar waveguide (CPW) fed folded slot antenna is presented. Artificial magnetic conductor (AMC) is employed in the structure to make it unidirectional. The design of folded slot antenna (FSA) having bi-directional radiation pattern is first illustrated. AMC and Perfect electric conductor (PEC) are used as a reflector with FSA for achieving uni-directional radiation pattern. Comparative study of PEC and AMC loaded FSA is shown. Overall thickness of the proposed AMC loaded FSA is only λ0/17.72 at the design frequency of 1.82 GHz. measured results confirm the utility of AMC by enhancing the gain of ∼ 3 dB in the broadside direction. This low-profile antenna with uni-directional pattern could be a good candidate for GSM (1.71–1.93 GHz) applications.

Advances in Visual Computing, 2020

Plagiarism detection is a widely used technique to uniquely identify quality of work. We address ... more Plagiarism detection is a widely used technique to uniquely identify quality of work. We address in this paper, the problem of predicting similarities amongst a collection of documents. This technique has widespread uses in academic institutions. In this paper, we propose a simple yet effective method for detection of plagiarism by using a robust word detection and segmentation procedure followed by a convolution neural network (CNN)-Bi-directional Long Short Term Memory (biLSTM) pipeline to extract the text. Our approach also extract and encodes common patterns like scratches in handwriting for improving accuracy on real-world use cases. The extracted information from multiple documents using comparison metrics are used to find the documents which have been plagiarized from a source. Extensive experiments in our research show that this approach may help simplify the examining process and can act as a cheap viable alternative to many modern approaches used to detect plagiarism from handwritten documents.

2017 IEEE Applied Electromagnetics Conference (AEMC), 2017

A low profile, frequency switchable, coplanar waveguide (CPW) fed folded slot antenna is presente... more A low profile, frequency switchable, coplanar waveguide (CPW) fed folded slot antenna is presented. Switches and artificial magnetic conductor (AMC) are employed in the structure to make it frequency switchable and unidirectional respectively. The design of folded slot antenna (FSA) at 1.84 GHz is first illustrated. Later, the design is modified to be switchable by imposing switches in the slots. These switches manipulates the effective electrical length of antenna thus yields the change in the resonant frequency from 1.84 GHz to 2.43 GHz. Artificial magnetic conductor (AMC) is used as a reflector to make antenna compact and unidirectional. Overall thickness of the proposed AMC loaded frequency switchable FSA is approximately λ0/17 at the design frequencies. Simulation and measurement results confirm the reflecting property of AMC by enhancing the gain of s 3 dB in the broadside direction. This low-profile antenna with relatively high gain could be a good candidate for GSM (1.71–1.93 GHz) and WLAN (2.40–2.48 GHz) applications.

IEEE Access, 2020

In this paper, we propose a novel method of cluster analysis called unsupervised functional link ... more In this paper, we propose a novel method of cluster analysis called unsupervised functional link artificial neural networks (UFLANNs), which inherit the best characteristics of functional link artificial neural networks and self-organizing feature maps (SOFMs). UFLANNs adopt three types of basis functions such as Chebyshev, Legendre orthogonal polynomials, and power series for mapping the input data into a new feature space with higher dimensions, where the objects are clustered based on the principle of competitive learning of SOFMs. The effectiveness of this algorithm has been tested with various artificial and real-life datasets including remote sensing images. A thorough comparison with other popular clustering algorithms shows that the proposed method is promising in revealing clusters from many complex datasets.

International Journal of Computer Applications in Technology, 2020

This paper proposes a novel Computer-Aided Diagnosis System (CADS) model using Artificial Intelli... more This paper proposes a novel Computer-Aided Diagnosis System (CADS) model using Artificial Intelligence (AI) to segment liver form abdomen CT scan. Deep Learning Convolutional Neural Network (DL-CNN) model is proposed to train the program to classify normal and abnormal liver images. For training data set generation, another novel Region of Interest (ROI) based thresholding image processing technique is proposed. DL-CNN network is also compared with the basic CNN model to understand the difference between basic and deep learning networks. The basic CNN model yielded an accuracy of 50.00% while the DL-CNN model achieved an accuracy of 98.75%. It is also compared with other existing models like AlexNet, AdaBoostM1 and classifiers such as naive Bayes, KNN, SVM and random forest classifier models. This model will be useful for provincial hospitals in diagnosing patients, it will also help radiologists in providing more accurate and faster diagnosis by reducing human errors.

Physical and Engineering Sciences in Medicine, 2021

Sudden cardiac death (SCD) is a major cause of death among patients with heart diseases. It occur... more Sudden cardiac death (SCD) is a major cause of death among patients with heart diseases. It occurs mainly due to ventricular tachyarrhythmia (VTA) which includes ventricular tachycardia (VT) and ventricular fibrillation (VF) conditions. The main challenging task is to predict the VTA condition at a faster rate and timely application of automatic external defibrillator (AED) for saving lives. In this study, a VF/VT classification scheme has been proposed using a deep neural network (DNN) approach using hybrid time-frequency-based features. Two annotated public domain ECG databases (CUDB and VFDB) were used as training, test, and validation of datasets. The main motivation of this study was to implement a deep learning model for the classification of the VF/VT conditions and compared the results with other standard machine learning algorithms. The signal is decomposed with the wavelet transform, empirical mode decomposition (EMD) and variable mode decomposition (VMD) approaches and twenty-four are extracted to form a hybrid model from a window of length 5 s length. The DNN classifier achieved an accuracy (Acc) of 99.2%, sensitivity (Se) of 98.8%, and specificity (Sp) of 99.3% which is comparatively better than the results of the standard classifier. The proposed algorithm can detect VTA conditions accurately, hence could reduce the rate of misinterpretations by human experts and improves the efficiency of cardiac diagnosis by ECG signal analysis.

In this regional heat flow study of New Zealand temperatures have been measured in available bore... more In this regional heat flow study of New Zealand temperatures have been measured in available boreholes using a specially constructed thermistor probe, and existing temperature information has been incorporated from various sources including oil prospecting boreholes. Thermal conductivity has been measured in the laboratory on 581 samples. Newly determined values of heat flow are given for 105 locations; values for the South Island are here presented for the first time. Most of the heat flow values have been grouped in eight regions based on the level of heat flow. This classification can be related to the occurrence of certain surface manifestations and geophysical anomalies, and to regional plate tectonics. High heat flow in three regions is consistent with melting conditions being reached at depths between 35km and 45km. These are the Taranaki Region, the West Coast Region and the Great South Basin. The average regional heat flow for these regions varies from 86.4 mW/m2 to 110.7 m...

Journal of Medical pharmaceutical and allied sciences, 2021

Quantitative and Qualitative exploration of clinical and diagnostic data using advanced analytics... more Quantitative and Qualitative exploration of clinical and diagnostic data using advanced analytics could unravel hidden medical knowledge by finding correlations, causations, and associations between apparently independent variables. Therefore, the scope and use and of Data Mining techniques in the current healthcare system is increasing steadily. In regard to this, we will discuss the disciplines, methods, models, algorithms, and results, and how these techniques would help in performing studies including but not limited to long-term prospective and retrospective studies, population studies, correlation studies, multicentric, multiracial, phased studies, meta-analysis, pharmacovigilance, etc. on Ayurvedic drugs and methods. We have discussed the applications of Data Mining on healthcare that is being implemented in developed countries. We have also discussed the issues like lack of quality data and record-keeping, and other issues and challenges in conducting ayurvedic studies in In...

International Journal of Dermatology, 2021

Annals of Ayurvedic Medicine, 2020

Background: Lichen simplex chronicus (LSC) is also termed as Neurodermatitis in medical science. ... more Background: Lichen simplex chronicus (LSC) is also termed as Neurodermatitis in medical science. It is one among skin diseases characterized by polygonal, flat-topped, violaceous papules and plaques with chronic itching and scratching. It is accompanied by some inflammatory signs like redness, burning, exudation. There are several endogenous and exogenous factors responsible for the aggravation of the disease. In Ayurveda, it resembles with Vicharchika, a type of Kshudra Kusthawhich is Kapha dominant skin disorder with some similar clinical features with lichen planus. Method:A female patient of age 32 visited OPD with chief complaints of LSC. Since conventional therapy used in this condition was unsatisfactory and having certain adverse effects, patient opted for Ayurvedic treatment. Patient was treated with internal and external polyherbal formulations for 3 months in tapering order and follow up of 1 month according to the disease Vicharchika. Result: Relief in all signs and symptoms along with new complaints like hair-fall and white discharge was observed. The relief was stable even after follow up and no adverse effect was found. Conclusion: Present case study shows that traditional herbal medicines may prove effective in such skin disorders and improve the overall quality of life with minimum or no adverse effects.

Physica B: Condensed Matter, 2019

In this reported work, the potential application of MnO 2 nanopowder for photocatalytic and the e... more In this reported work, the potential application of MnO 2 nanopowder for photocatalytic and the electrocatalytic applications is explored. The MnO 2 nanopowder has been synthesized through sonochemical route using KMnO 4 and poly-ethylene glycol as the reducing agent. Structural and optical analysis (XRD, TEM, FTIR, XPS and UV-visible) confirmed the formation of nanocrystalline MnO 2 network. The adsorption and photocatalytic performance of synthesized MnO 2 was tested for degradation of methylene blue dye and p-nitrophenol (2 mg/L) under dark chamber and household CFL lamp exposure, respectively. The electrochemical studies in alkaline (0.5 M KOH) medium shows the electric double layer capacitance of 7.4 mFcm-2 suggesting its potential application for energy storage devices. The synthesized compound exhibited excellent stability after 1000 CV cycles (~4% current loss) where Volmer reaction was observed as the rate determining step for the electrocatalytic hydrogen evolution reaction.

Information Processing in Agriculture, 2018

This paper attempts to analyze the kinetics involved in the drying of green peas in 'with blanchi... more This paper attempts to analyze the kinetics involved in the drying of green peas in 'with blanching' and 'without blanching' techniques. Blanching by hot water mixed with a solution of citric acid (0.1-0.2 mg/ml) at 70°C-100°C is the treatment provided to the samples of green peas. Experimental analysis shows that the moisture content in green peas of three different sizes is reduced at different temperatures and demonstrates the effect of the rate of drying of the moisture content. Under different diameters and temperatures, the parameters are analyzed using 'with blanching' and 'without blanching' techniques. It is observed that 'with blanching' process plays a significant role in the reduction of moisture content under different temperatures and diameters in a lesser time as compared to 'without blanching'. The operative activation energy and moisture diffusivity are described by using Fick's law of diffusion. The calculation of effective moisture diffusivity can be done via the utilization of slope. The drying data is subjected to two models of mathematical nature: Simple Exponential model, and Page model. The performance of these models is examined by means of comparing the coefficient of determination (R 2), chi-square (v 2) and root mean square error (RMSE) between the experimental and forecasted value of moisture ratio obtained 'with blanching' and 'without blanching'. The experimental data was seen to be in accordance with the Page model. The comparisons of energy consumption, energy efficiency and also the cost of the drying processes for 'with blanching' and 'without blanching' have been accomplished to optimize and reduce process condition and the cost of the process, respectively.

IET Wireless Sensor Systems, 2018

Localisation of sensor nodes in a wireless sensor network (WSN) is an important problem in variou... more Localisation of sensor nodes in a wireless sensor network (WSN) is an important problem in various applications like cyber-physical systems, Internet of things and context aware pervasive systems. Cooperative localisation using multidimensional scaling (MDS) has been used successfully in many localisation applications. A primary requirement in MDS is the computation of accurate distance estimates between pairs of nodes in a WSN. However, the estimated distances are erroneous in MDS especially for node pairs that are connected using multiple hops. This leads to an overall increase in error of location estimates. A recent development in social networks called small world phenomena can be introduced in a WSN leading to small world WSN (SW-WSN). SW-WSN exhibits low average path length and high average clustering coefficient and yields accurate distance estimates between pairs of nodes. In this work, a novel cooperative localisation method that uses heterogeneous nodes (H-nodes) is proposed over SW-WSN. In addition, two optimal H-node allocation methods are also developed for the cooperative localisation method. The significance of the proposed method in reducing localisation error, energy consumption, and bandwidth requirement is illustrated by simulations and extensive experiments on a real WSN testbed.

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Journal of biomedical materials research. Part A, Jan 25, 2018

In the present study, novel mesoporous bioactive glasses (MBGs) (15-x)CuO-xMgO-10P O -60SiO -10Ca... more In the present study, novel mesoporous bioactive glasses (MBGs) (15-x)CuO-xMgO-10P O -60SiO -10CaO-5ZnO (2.5 ≤ x ≤ 12.5, varying in steps of 2) are synthesized using the sol-gel technique. The structural phases of the glasses/glass ceramics were studied by XRD. The pH variation and simulated body fluids (SBF) studies demonstrated the in-vitro bioactivity of all the MBGs. MBGs possess surface area variation between 98.22 and 442.41 cm /g. The pore size of MBGs lies in the range of 5.8-8.8 nm. The cytotoxicity assays were conducted for MG63 human osteosarcoma cell line depicting non-toxic behavior of all MBGs at 7.8125 μg/ml. In addition to this, the effect of the magnesium on the gene expression was also investigated using reverse transcription-polymerase chain reaction (RT-qPCR). The MBGs were loaded with the antibacterial (vancomycin/amoxicillin), anticancerous (doxorubicin), and analgesic (Iburofen) drugs. Ibuprofen and amoxicillin drugs were almost fully loaded in all the MBGs, w...

ABSTRACTAsthma is a common, under-diagnosed disease affecting all ages. We sought to identify a n... more ABSTRACTAsthma is a common, under-diagnosed disease affecting all ages. We sought to identify a nasal brush-based classifier of mild/moderate asthma. 190 subjects with mild/moderate asthma and controls underwent nasal brushing and RNA sequencing of nasal samples. A machine learning-based pipeline identified an asthma classifier consisting of 90 genes interpreted via an L2-regularized logistic regression classification model. This classifier performed with strong predictive value and sensitivity across eight test sets, including (1) a test set of independent asthmatic and control subjects profiled by RNA sequencing (positive and negative predictive values of 1.00 and 0.96, respectively; AUC of 0.994), (2) two independent case-control cohorts of asthma profiled by microarray, and (3) five cohorts with other respiratory conditions (allergic rhinitis, upper respiratory infection, cystic fibrosis, smoking), where the classifier had a low to zero misclassification rate. Following validati...

ChemInform, 2010

ABSTRACT ChemInform is a weekly Abstracting Service, delivering concise information at a glance t... more ABSTRACT ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.