12 results on '"Maurya L"'
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2. Career Prediction Classifiers based on Academic Performance and Skills using Machine Learning
- Author
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Akanksha Pandey and Maurya L S
- Published
- 2022
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3. Diagnosis Of Heart Disease Using Machine Learning Algorithm.
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Kumar, Pradeep, Maurya, L. S., and Gupta, Hiresh Kumar
- Abstract
This Machine Learning techniques is involved in artificial intelligence. Today is the scenario being most problem of the heart disease in the world. So, Prediction of heart disease at the initial stage may reduce death ratio. Now a day's various healthcare organizations generate bulk amount of data but that data is unorganized. If the data are organized so there is various technique to used easily predict the heart disease. If this data is organized in a proper way using data mining technique it can be easily use for the prediction of heart diseases. Thus, the objective of this paper is to make a model for diagnosis the heart disease based on the various parameter. Using dataset of heart disease prediction for this work, which consist of 14 different types of parameters related to heart problem. Machine Learning algorithms such as supervised and unsupervised algorithm are such as Random Forest, Support Vector Machine, Naive Bayes and Decision tree, clustering but we used Logistic Regression algorithm have been used for the development of model. This model can be very helpful to the clinical diagnosis for early stage to detect the heart problem [ABSTRACT FROM AUTHOR] more...
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- 2022
4. Project Domain Prediction Techniques Using Machine Learning.
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Azram, Imana and Maurya, L. S.
- Abstract
Machine Learning has surpassed every other technology in the previous several years, including artificial intelligence. You may be able to expand your horizons of thinking and develop some very outstanding real-world projects if you use Machine Learning techniques. Students’ chances of reaching professional success may be improved by giving them advice on which disciplines or tracks to follow based on information from other successful academics in their area as well as the students’ personal histories and interests, according to the authors. A data mining and machine learning-based strategy was developed in response to the information provided. Several academic institutions and students from two various academic fields provided data for the objectives of training, evaluation, and certification. (hamed, B., 2017). Different Machine learning algorithms like gaussian naive bayes, support vector machine, logistic regression, stochastic gradient descent, decision tree, random forest were used to develop methods that had a high degree of accuracy in their predictions. In the future, the technique that has been established may be utilized to choose a new subject or stream (Mohamed, B., 2017). [ABSTRACT FROM AUTHOR] more...
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- 2022
5. A study on the growth of Agile methods in India till 2014
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Agrawal, Ashish, primary, Singh, Sadhana, additional, and Maurya, L. S., additional
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- 2015
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6. Reliability assessment and prediction of open source software systems
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Singh, Jitendra, primary and Maurya, L S, additional
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- 2013
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7. Non-contact respiratory rate monitoring using thermal and visible imaging: a pilot study on neonates.
- Author
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Maurya L, Zwiggelaar R, Chawla D, and Mahapatra P
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- Infant, Newborn, Adult, Humans, Pilot Projects, Monitoring, Physiologic methods, Motion, Respiratory Rate, Diagnostic Imaging
- Abstract
Respiratory rate (RR) monitoring is essential in neonatal intensive care units. Despite its importance, RR is still monitored intermittently by manual counting instead of continuous monitoring due to the risk of skin damage with prolonged use of contact electrodes in preterm neonates and false signals due to displacement of electrodes. Thermal imaging has recently gained significance as a non-contact method for RR detection because of its many advantages. However, due to the lack of information in thermal images, the selection and tracking of the region of interest (ROI) in thermal images for neonates are challenging. This paper presents the integration of visible (RGB) and thermal (T) image sequences for the selection and tracking of ROI for breathing rate extraction. The deep-learning based tracking-by-detection approach is employed to detect the ROI in the RGB images, and it is mapped to the thermal images using the RGB-T image registration. The mapped ROI in thermal spectrum sequences gives the respiratory rate. The study was conducted first on healthy adults in different modes, including steady, motion, talking, and variable respiratory order. Subsequently, the method is tested on neonates in a clinical settings. The findings have been validated with a contact-based reference method.The average absolute error between the proposed and belt-based contact method in healthy adults reached 0.1 bpm and for more challenging conditions was approximately 1.5 bpm and 1.8 bpm, respectively. In the case of neonates, the average error is 1.5 bpm, which are promising results. The Bland-Altman analysis showed a good agreement of estimated RR with the reference method RR and this pilot study provided the evidence of using the proposed approach as a contactless method for the respiratory rate detection of neonates in clinical settings., (© 2022. The Author(s).) more...
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- 2023
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8. Non-contact breathing rate monitoring in newborns: A review.
- Author
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Maurya L, Kaur P, Chawla D, and Mahapatra P
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- Humans, Infant, Newborn, Monitoring, Physiologic, Respiration, Respiratory Rate, Signal Processing, Computer-Assisted, Premature Birth
- Abstract
The neonatal period - the first 4 weeks of life - is the most critical time for a child's survival. Breathing rate is a vital indicator of the health condition and requires continuous monitoring in case of sickness or preterm birth. Breathing movements can be counted by contact and non-contact methods. In the case of newborn infants, the non-contact breathing rate monitoring need is high, as a contact-based approach may interfere while providing care and is subject to interference by non-breathing movements. This review article delivers a factual summary, and describes the methods and processing involved in non-contact based breathing rate monitoring. The article also provides the advantages, limitations, and clinical applications of these methods. Additionally, signal processing, feasibility, and future direction of different non-contact neonatal breathing rate monitoring are discussed., (Copyright © 2021 Elsevier Ltd. All rights reserved.) more...
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- 2021
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9. Intranasal Drug Delivery of Frovatriptan Succinate-Loaded Polymeric Nanoparticles for Brain Targeting.
- Author
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Deepika D, Dewangan HK, Maurya L, and Singh S
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- Administration, Intranasal, Animals, Carbazoles pharmacokinetics, Drug Carriers metabolism, Drug Liberation, Male, Polymers metabolism, Rats, Wistar, Serotonin Receptor Agonists pharmacokinetics, Tryptamines pharmacokinetics, Brain metabolism, Carbazoles administration & dosage, Drug Delivery Systems, Nanoparticles metabolism, Serotonin Receptor Agonists administration & dosage, Tryptamines administration & dosage
- Abstract
The objective of the present study was to develop polymeric nanoparticles (PNPs) of frovatriptan succinate for brain targeting by nasal route. Double emulsion method was used to increase the entrapment efficiency of hydrophilic drug, and formulation was optimized by central composite design to achieve critical quality attributes namely particle size, zeta potential, and entrapment efficiency. Optimized batch was evaluated for surface morphology, in vitro release, permeation across nasal mucosa, stability, histopathology, and brain tissue uptake study. Prepared PNPs were found to be smooth with particle size of 264.4 ± 0.04 nm, zeta potential -35.17 ± 0.07 mV, and 65.2 ± 0.06% entrapment efficiency. PNPs showed biphasic release pattern, initial burst release followed by sustained release up to 72 h. Ex vivo diffusion study using goat nasal mucosa at pH 6.8 revealed that PNPs permeation across nasal mucosa was about 3 times more than the pure drug solution, and quick delivery of PNPs in brain region was confirmed by fluorescence microscopic evaluation in male Wistar rats after intranasal administration. Histopathology studies further revealed integrity of nasal mucosa after treatment with PNPs. The investigation indicated that hydrophilic drug, frovatriptan succinate can be successfully entrapped in PNPs to target brain via nasal delivery, and thus it could be an effective approach for nose to brain delivery., (Copyright © 2019. Published by Elsevier Inc.) more...
- Published
- 2019
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10. Rational design and evaluation of HBsAg polymeric nanoparticles as antigen delivery carriers.
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Dewangan HK, Pandey T, Maurya L, and Singh S
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- Animals, Drug Carriers chemistry, Emulsions chemistry, Hepatitis Antigens immunology, Hepatitis B immunology, Hepatitis B virology, Hepatitis B Surface Antigens immunology, Hepatitis B Vaccines chemistry, Hepatitis B Vaccines immunology, Humans, Immunization, Mice, Mice, Inbred BALB C, Nanoparticles administration & dosage, Nanoparticles chemistry, Particle Size, Drug Carriers administration & dosage, Hepatitis B prevention & control, Hepatitis B Surface Antigens administration & dosage, Hepatitis B Vaccines administration & dosage
- Abstract
The present work is focused on the development and evaluation of single dose sustained-release Hepatitis B surface antigen (HBsAg) loaded nanovaccine for Hepatitis B. The conventional treatment suffers from repeated administration and hence requires a booster dose. Therefore, polymeric nanovaccine of HBsAg was developed by double emulsion solvent evaporation technique, utilizing central composite design for formulation optimization. The effects of independent variables (like polymer amount, stabilizer concentration, aqueous/organic phase ratio and homogenizer speed) were also studied on critical quality attributes like particle size and entrapment efficiency. Nanovaccine was characterized in terms of physicochemical parameters, release, internalization and in vivo immunological evaluation in BALB/c mice after administration by different routes such as oral, sub-cutaneous, nasal and intramuscular. The designed nanovaccine demonstrated nanometric size with smooth surface, negative zeta potential, maximum entrapment, sustained release and better internalization in macrophage and MRC-5 cell line. The immune-stimulating activity of nanovaccine administered by different routes was evaluated by measuring anti-HBsAg titre like specific immunoglobulin IgG and IgA response and cytokine level (interleukin-2, interferon-Y) measurement. The results indicated that the nanovaccine administered by intramuscular route produced better humoral as well as cellular responses and potential carriers for antigen delivery at single dose administration via intramuscular route., (Copyright © 2018 Elsevier B.V. All rights reserved.) more...
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- 2018
- Full Text
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11. Hepatitis B Antigen Loaded Biodegradable Polymeric Nanoparticles: Formulation Optimization and In-vivo Immunization in BALB/c Mice.
- Author
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Dewangan HK, Singh S, Maurya L, and Srivastava A
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- Adjuvants, Immunologic chemistry, Alum Compounds chemistry, Animals, Cell Proliferation drug effects, Drug Compounding, Drug Liberation, Erythrocytes drug effects, Female, Hemolysis drug effects, Hepatitis B Antigens chemistry, Humans, Immunoglobulin A blood, Immunoglobulin G blood, Interferon-gamma immunology, Interleukin-2 immunology, Lactic Acid chemistry, Lymphocytes drug effects, Mice, Inbred BALB C, Nanoparticles chemistry, Platelet Aggregation drug effects, Polyglycolic Acid chemistry, Polylactic Acid-Polyglycolic Acid Copolymer, Adjuvants, Immunologic administration & dosage, Alum Compounds administration & dosage, Hepatitis B Antigens administration & dosage, Immunization methods, Lactic Acid administration & dosage, Nanoparticles administration & dosage, Polyglycolic Acid administration & dosage
- Abstract
Objective: The incredibly serious problem of Hepatitis B is virus-related chronic liver disease. The conventional preventive treatment of Hepatitis B requires booster dose, which requires repeated administration of the vaccine to the subject. Thus, there is a need to develop a formulation which can eliminate the need of frequent dosing and enhance patient's acquiescence. To prepare single dose nanovaccine of HBsAg by utilizing central composite design for optimization and interaction of independent variables effects on measured response., Methods: Nanovaccines were characterized for particle size, morphology, integrity, internalization, proliferation response and haemocompatibility. Nanoparticles at single and multiple doses were compared with booster dose of alum-HBsAg vaccine and measure the immunological marker and cytokine (interleukin-2 and interferon-Y) levels by ELISA techniques in BALB/c mice., Results: The designed nanoparticles were found to have nanometric size, high entrapment efficiency and retained antigen integrity. Nanoparticles showed maximum proliferation and efficiently internalized by lymph and spleen cell without eliciting significant toxicity and haemocampatible., Conclusion: The comparable data of anti-HBsAg titre between nanovaccine and alum adsorbed HBsAg demonstrated that single dose of nanoparticles is sufficient for production of immunoglobulin plus cytokine levels, maintain immunogenicity at longer period of time and eliminate the booster dose. Nanovaccines trigger immune responses and showing adjuvant properties., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.) more...
- Published
- 2018
- Full Text
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12. Vitamin E TPGS Emulsified Vinorelbine Bitartrate Loaded Solid Lipid Nanoparticles (SLN): Formulation Development, Optimization and In vitro Characterization.
- Author
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Maurya L, Singh S, Rajamanickam VM, and Narayan G
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- Antineoplastic Agents, Phytogenic chemistry, Cell Survival drug effects, Chemistry, Pharmaceutical, Drug Carriers chemistry, Drug Liberation, Drug Stability, Emulsions, Glycerides administration & dosage, Glycerides chemistry, Humans, MCF-7 Cells, Nanoparticles chemistry, Vinblastine administration & dosage, Vinblastine chemistry, Vinorelbine, Vitamin E chemistry, Vitamins chemistry, Antineoplastic Agents, Phytogenic administration & dosage, Drug Carriers administration & dosage, Nanoparticles administration & dosage, Vinblastine analogs & derivatives, Vitamin E administration & dosage, Vitamins administration & dosage
- Abstract
Background: Vinorelbine bitartrate (VRL), a semi synthetic vinca alkaloid approved for breast cancer, has been proven to be beneficial as first line and subsequent therapies. However, its hydrophilic and thermo labile nature provides hindrance to oral clinical translation., Objectives: The current work focused on the application of DOE a modern statistical optimization tool for the development and optimization of a solid lipid nanoparticle (SLN) formulation that can encapsulate hydrophilic and thermolabile Vinorelbine bitartrate (VRL) to a maximum extent without compromising integrity and anticancer activity of the drug., Methods: SLNs were prepared by solvent diffusion technique employing Taguchi orthogonal array design with optimized formulation and process variables. The emulsifying nature and low melting point of glyceryl mono-oleate (GMO) were exploited to enhance entrapment and minimizing temperature associated degradation, respectively. Moreover, two types of surfactants, Vitamin E TPGS (TPGS) and Poloxamer-188 were utilized to obtain TPGS-VRL-SLNs and PL-VRL-SLNs, respectively. The SLNs were characterized for various physicochemical properties, in-vitro drug release kinetics and anticancer activity by MTT assay on MCF-7 cancer cell lines., Results: The SLNs were found to be spherical in shape with entrapment efficiency (EE) up to 58 %. Invitro release studies showed biphasic release pattern following Korsemeyer peppas model with fickian release kinetics. Results of MTT assay revealed that TPGS-VRL-SLNs and PL-VRL-SLNs were 39.5 and 18.5 fold more effective, respectively, compared to the pristine VRL., Conclusion: DOE approach was successfully applied for the development of VRL-SLNs. Enhanced entrapment and anticancer efficacy of TPGS-VRL-SLN can be attributed to emulsifying nature of GMO and inherent cytotoxic nature of TPGS, respectively, which synergizes with VRL. Therefore, TPGS associated SLNs may be potential carrier in cancer chemotherapeutics., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.) more...
- Published
- 2018
- Full Text
- View/download PDF
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