Pub Date : 2020-10-16DOI: 10.46243/jst.2020.v5.i6.pp93-99
: Smart health monitoring system is a system that shortens the distance between a patient and the relevant medical organization. These systems have rapidly evolved during the past two decades and have the potential to change the way health cases are currently delivered. The Internet of Things (IoT) is an innovation for smart health management. It provides monitoring patients remotely and guarantees giving patients the medication and getting complete health care without the latter getting infected. As we know that the NovelCorona-virus also known as covid-19 expanded its impacts from China and still expands its catchment, national as well as international measures are being taken to contain the outbreak such as the placing of lockdown in nations. As a result, many people are being infected making the hospital incapable of providing proper healthcare. This paper proposes a smart health system that monitors the patients holding the coronavirus remotely and to protect the lives of the health service members (like physicians, nurses) from infection. This smart system observes patients by using sensors, to gather rich information every minute seconds. This benefits the patient as well as the service members because the physicians can observe the patient while freeing up beds in the hospitals for the critical cases.
{"title":"Smart Health Monitoring and Management Using Internet of\u0000Things, Artificial Intelligence with Cloud Based Processing","authors":"","doi":"10.46243/jst.2020.v5.i6.pp93-99","DOIUrl":"https://doi.org/10.46243/jst.2020.v5.i6.pp93-99","url":null,"abstract":": Smart health monitoring system is a system that shortens the distance between a patient and the relevant\u0000medical organization. These systems have rapidly evolved during the past two decades and have the potential to\u0000change the way health cases are currently delivered. The Internet of Things (IoT) is an innovation for smart health\u0000management. It provides monitoring patients remotely and guarantees giving patients the medication and getting\u0000complete health care without the latter getting infected. As we know that the NovelCorona-virus also known as\u0000covid-19 expanded its impacts from China and still expands its catchment, national as well as international\u0000measures are being taken to contain the outbreak such as the placing of lockdown in nations. As a result, many\u0000people are being infected making the hospital incapable of providing proper healthcare.\u0000This paper proposes a smart health system that monitors the patients holding the coronavirus remotely and to\u0000protect the lives of the health service members (like physicians, nurses) from infection. This smart system observes\u0000patients by using sensors, to gather rich information every minute seconds. This benefits the patient as well as the\u0000service members because the physicians can observe the patient while freeing up beds in the hospitals for the\u0000critical cases.","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"59 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77789447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-16DOI: 10.46243/jst.2020.v5.i6.pp100-106
In the last few years, face recognitions owned considerable consideration and liked together of the foremost used functions within the area of image evaluation and recognition. Face detection reflects on consideration of an incredible section of face attention operations. The technique of face detection in pixels is elaborate with many features’ variabilities provided throughout human faces. Faces include pose, expression, smile, role and orientation, pores and complexion, the presence of glasses or facial hair, variations in digicam gain, lighting conditions, and photo resolutions. Haar Cascade classifier is of outstanding assist when performing this undertaking smoothly. Face detection goes to possess a dramatic impression on the face detection field, as a result, familiarizing yourself with its functions like attendance recording system with the help of camera, Mask detection system. In this paper, we proposed a face detection system for the utilization of computer learning, especially OpenCV. The mandatory step required is face detection which we did with the usage of a broadly used step referred to as the haarcascade_frontalface_default classifier, python and its module.
{"title":"Face Detection with Machine Learning and Open CV Classifier","authors":"","doi":"10.46243/jst.2020.v5.i6.pp100-106","DOIUrl":"https://doi.org/10.46243/jst.2020.v5.i6.pp100-106","url":null,"abstract":"In the last few years, face recognitions owned considerable consideration and liked together of the\u0000foremost used functions within the area of image evaluation and recognition. Face detection reflects on\u0000consideration of an incredible section of face attention operations. The technique of face detection in pixels is\u0000elaborate with many features’ variabilities provided throughout human faces. Faces include pose, expression, smile,\u0000role and orientation, pores and complexion, the presence of glasses or facial hair, variations in digicam gain,\u0000lighting conditions, and photo resolutions. Haar Cascade classifier is of outstanding assist when performing this\u0000undertaking smoothly. Face detection goes to possess a dramatic impression on the face detection field, as a result,\u0000familiarizing yourself with its functions like attendance recording system with the help of camera, Mask detection\u0000system.\u0000In this paper, we proposed a face detection system for the utilization of computer learning, especially OpenCV. The\u0000mandatory step required is face detection which we did with the usage of a broadly used step referred to as the\u0000haarcascade_frontalface_default classifier, python and its module.","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85382300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-16DOI: 10.46243/jst.2020.v5.i6.pp87-92
A small size and very thinwideband dipole microstrip patch antenna for dual frequency operation is designed and analysed in this paper. The dimension of the proposed antenna is 40×30×1.6 mm3 .The proposed antenna is designed using a low cost and reliable FR4 substrate. This FR4 substrate material has a thickness of 1.6 mm, dielectric constant of 4.4 and loss tangent of 0.02. The proposed antennaresonates at 2.19 GHz and 2.5 GHz frequencies with a -10 dB impedance bandwidth of 4.37 GHz, ranging from 1.8 GHz to 6.17 GHz.This shows the proposed antenna bandwidth is increased to 200%. The VSWR of the proposed antenna is less than 2 for entire operating frequency range. Radiation efficiency is above 70% at both of the resonance frequencies. A very low cross polarization is found at all resonance frequencies. CST Microwave Studio is used to design and analyse the proposed antenna.
{"title":"Wideband Compact Dual Frequency Dipole Microstrip Patch\u0000Antenna","authors":"","doi":"10.46243/jst.2020.v5.i6.pp87-92","DOIUrl":"https://doi.org/10.46243/jst.2020.v5.i6.pp87-92","url":null,"abstract":"A small size and very thinwideband dipole microstrip patch antenna for dual frequency operation is\u0000designed and analysed in this paper. The dimension of the proposed antenna is 40×30×1.6 mm3\u0000.The proposed\u0000antenna is designed using a low cost and reliable FR4 substrate. This FR4 substrate material has a thickness of 1.6\u0000mm, dielectric constant of 4.4 and loss tangent of 0.02. The proposed antennaresonates at 2.19 GHz and 2.5 GHz\u0000frequencies with a -10 dB impedance bandwidth of 4.37 GHz, ranging from 1.8 GHz to 6.17 GHz.This shows the\u0000proposed antenna bandwidth is increased to 200%. The VSWR of the proposed antenna is less than 2 for entire\u0000operating frequency range. Radiation efficiency is above 70% at both of the resonance frequencies. A very low cross\u0000polarization is found at all resonance frequencies. CST Microwave Studio is used to design and analyse the\u0000proposed antenna.","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"44 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83159353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-15DOI: 10.46243/jst.2020.v5.i5.pp227-236
Underwater imagery and analysis plays a major role in fisheries management and fisheries science helping developing efficient and automated tools for cumbersome tasks such as fish species identification, stock assessment and abundance estimation. Majority of the existing tools for analysis still leverage conventional statistical algorithms and handcrafted image processing techniques which demand human interventions and are inefficient and prone to human errors. Computer vision based automated algorithms need a better generalisation capability and should be made efficient to address the ambiguities present in the underwater scenarios, and can be achieved through learning based algorithms based on artificial neural networks. This paper research about utilising the Convolutional Neural Network (CNN) based models for under water image classification for fish species identification. This paper also analyses and evaluates the performance of the proposed CNN models with different optimizers such as the Stochastic Gradient Descent (SGD),Adagrad, RMSprop, Adadelta, Adam and Nadam on classifying ten classes of images from the Fish4Knowledge(F4K) database.
{"title":"Performance Comparison of Convolutional Neural Network-based\u0000model using Gradient Descent Optimization algorithms for the\u0000Classification of Low Quality Underwater Images","authors":"","doi":"10.46243/jst.2020.v5.i5.pp227-236","DOIUrl":"https://doi.org/10.46243/jst.2020.v5.i5.pp227-236","url":null,"abstract":"Underwater imagery and analysis plays a major role in fisheries management and fisheries science\u0000helping developing efficient and automated tools for cumbersome tasks such as fish species identification, stock\u0000assessment and abundance estimation. Majority of the existing tools for analysis still leverage conventional\u0000statistical algorithms and handcrafted image processing techniques which demand human interventions and are\u0000inefficient and prone to human errors. Computer vision based automated algorithms need a better generalisation\u0000capability and should be made efficient to address the ambiguities present in the underwater scenarios, and can be\u0000achieved through learning based algorithms based on artificial neural networks. This paper research about utilising\u0000the Convolutional Neural Network (CNN) based models for under water image classification for fish species\u0000identification. This paper also analyses and evaluates the performance of the proposed CNN models with different\u0000optimizers such as the Stochastic Gradient Descent (SGD),Adagrad, RMSprop, Adadelta, Adam and Nadam on\u0000classifying ten classes of images from the Fish4Knowledge(F4K) database.","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"29 10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82729906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.46243/jst.2020.v5.i5.pp220-226
Machine learning is a branch of Artificial Intelligence which is gaining importance in the 21st century with increasing processing speeds and miniaturization of sensors, the applications of Artificial Intelligence and cognitive technologies are growing rapidly. An array of ultrasonic sensors i.e., HCSR-04 is placed at different directions, collecting data for a particularinterval of a period during a particular day. The acquired sensor values are subjected to pre-processing, data analytics, and visualization. The prepared data is now split into test and train. A prediction model is designed using logistic regression and linear regression and checked for accuracy, F1 score, and precision compared.
{"title":"Motion Detection and Prediction Using Machine Learning\u0000Algorithm","authors":"","doi":"10.46243/jst.2020.v5.i5.pp220-226","DOIUrl":"https://doi.org/10.46243/jst.2020.v5.i5.pp220-226","url":null,"abstract":"Machine learning is a branch of Artificial Intelligence which is gaining importance in the 21st century\u0000with increasing processing speeds and miniaturization of sensors, the applications of Artificial Intelligence and\u0000cognitive technologies are growing rapidly. An array of ultrasonic sensors i.e., HCSR-04 is placed at different\u0000directions, collecting data for a particularinterval of a period during a particular day. The acquired sensor values\u0000are subjected to pre-processing, data analytics, and visualization. The prepared data is now split into test and train.\u0000A prediction model is designed using logistic regression and linear regression and checked for accuracy, F1 score,\u0000and precision compared.","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"48 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81420678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.46243/jst.2020.v5.i5.pp188-191
The force of gravity of the sun on the earth, when the axis of the earth is found at a specific angle towards the sun in the summer and the winter, moves the earth’s mantle, including the axis of the earth’s rotation. This force is the main thing that changes the location of the axis of the earth’s rotation on the mantle of the earth and, to a minor extent or not at all, causes a change in the angle of the earth’s rotation in relation to the sun, and to the earth’s ecliptic plane.
{"title":"Gravity of The Sun, The Main Force Operating That Changes The\u0000Location of The Earth’s Axis of The Earth’s Mantle And,\u0000Accordingly, The Location of The Equator","authors":"","doi":"10.46243/jst.2020.v5.i5.pp188-191","DOIUrl":"https://doi.org/10.46243/jst.2020.v5.i5.pp188-191","url":null,"abstract":"The force of gravity of the sun on the earth, when the axis of the earth is found at a specific angle\u0000towards the sun in the summer and the winter, moves the earth’s mantle, including the axis of the earth’s rotation.\u0000This force is the main thing that changes the location of the axis of the earth’s rotation on the mantle of the earth\u0000and, to a minor extent or not at all, causes a change in the angle of the earth’s rotation in relation to the sun, and to\u0000the earth’s ecliptic plane.","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80725221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-14DOI: 10.46243/jst.2020.v5.i5.pp171-187
Caffeine and Quercetin both are used in combination for the treatment of patient with depression as they are adenosine antagonist due to which they elevate the level of neurotransmitters. The study was designed with two aims. First, is to enhance the solubility and bioavailability of BCS Class II i.e. Quercetin; secondly to ease administration of the formulation to the patient with depression. The culmination of this study, the caffeine and quercetin loaded niosomal in-situ gel for nose-to-brain delivery was formulated. Niosomes were prepared and optimized by using definitive screening design whereas, the Niosomal in-situ gel were prepared and optimized using central composite design. The vesicle size of the optimized batch was found to be 0.281±0.26µm. The % EE of all niosomal batches was found to be in a range of 81.52±0.21% to 98.72±0.16% for Caffeine and 94.3±0.31 to 99.73±0.23 for Quercetin and the cumulative % release was found to be in a range of 72.09±0.18% to 103.3±0.26% for Caffeine and 10.9±0.31% to 37.06±0.15% for Quercetin at 4hrs. DSC, FTIR studies were performed for pure drug and optimized niosomal batch. All the gels as per design were formulated, where the Spreadability was found to be in range of 5.1±0.26cm to 7.9±0.16cm and viscosity after gelation in range of 1800±0.11cps to 4780±0.26cps. The % drug permeated was found to be in range of 85.86±0.015% to 98.61±0.024% for Caffeine and 22.65±0.19% to 33.23±0.34% for Quercetin at 6hrs. These results indicated that niosomal In-situ gel can be used to enhance the bioavailability of drug by directly delivering the drug to the brain by avoiding first pass effect
{"title":"Development and Charecterization of Caffeine and Quercetin\u0000Loaded Nasal Niosomal In-Situ Gel for Treatment of Depression","authors":"","doi":"10.46243/jst.2020.v5.i5.pp171-187","DOIUrl":"https://doi.org/10.46243/jst.2020.v5.i5.pp171-187","url":null,"abstract":"Caffeine and Quercetin both are used in combination for the treatment of patient with depression as they\u0000are adenosine antagonist due to which they elevate the level of neurotransmitters. The study was designed with two\u0000aims. First, is to enhance the solubility and bioavailability of BCS Class II i.e. Quercetin; secondly to ease\u0000administration of the formulation to the patient with depression. The culmination of this study, the caffeine and\u0000quercetin loaded niosomal in-situ gel for nose-to-brain delivery was formulated. Niosomes were prepared and\u0000optimized by using definitive screening design whereas, the Niosomal in-situ gel were prepared and optimized using\u0000central composite design. The vesicle size of the optimized batch was found to be 0.281±0.26µm. The % EE of all\u0000niosomal batches was found to be in a range of 81.52±0.21% to 98.72±0.16% for Caffeine and 94.3±0.31 to\u000099.73±0.23 for Quercetin and the cumulative % release was found to be in a range of 72.09±0.18% to 103.3±0.26%\u0000for Caffeine and 10.9±0.31% to 37.06±0.15% for Quercetin at 4hrs. DSC, FTIR studies were performed for pure\u0000drug and optimized niosomal batch. All the gels as per design were formulated, where the Spreadability was found\u0000to be in range of 5.1±0.26cm to 7.9±0.16cm and viscosity after gelation in range of 1800±0.11cps to 4780±0.26cps.\u0000The % drug permeated was found to be in range of 85.86±0.015% to 98.61±0.024% for Caffeine and 22.65±0.19%\u0000to 33.23±0.34% for Quercetin at 6hrs. These results indicated that niosomal In-situ gel can be used to enhance the\u0000bioavailability of drug by directly delivering the drug to the brain by avoiding first pass effect","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85794341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-13DOI: 10.46243/jst.2020.v5.i5.pp149-153
:Increasing research interest has been focused on controlled as well as sustained drug delivery using natural and biocompatible constituents in recent years. Many of them herbal constituents are avoided due to pharmacokinetic and pharmacodynamic issues of herbal constituents. There are many new technological ways and comparisons have been studied to upgrade the herbal discoveries in pharmaceutical market. This review will focus on the nanogel for herbal medicines with high delivery rate, patient compliance and efficiency. A nanoparticles contained hydrogel with cross linked polymer networks called as ‘Nanogel’. Nanogel preferred for herbal medicines due to stability and for the ease. Nanogels in terms of herbal drugs are promising and novel approach which also can be called as future generation drug delivery systems owing to high drug encapsulation capacity, uniformity, minimum toxicity, greater stability.
{"title":"Herbal Nanogel Formulation: A Novel Approch","authors":"","doi":"10.46243/jst.2020.v5.i5.pp149-153","DOIUrl":"https://doi.org/10.46243/jst.2020.v5.i5.pp149-153","url":null,"abstract":":Increasing research interest has been focused on controlled as well as sustained drug delivery using\u0000natural and biocompatible constituents in recent years. Many of them herbal constituents are avoided due to\u0000pharmacokinetic and pharmacodynamic issues of herbal constituents. There are many new technological ways and\u0000comparisons have been studied to upgrade the herbal discoveries in pharmaceutical market. This review will focus\u0000on the nanogel for herbal medicines with high delivery rate, patient compliance and efficiency. A nanoparticles\u0000contained hydrogel with cross linked polymer networks called as ‘Nanogel’. Nanogel preferred for herbal\u0000medicines due to stability and for the ease. Nanogels in terms of herbal drugs are promising and novel approach\u0000which also can be called as future generation drug delivery systems owing to high drug encapsulation capacity,\u0000uniformity, minimum toxicity, greater stability.","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75359336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-13DOI: 10.46243/jst.2020.v5.i5.pp162-170
Exponential population growth, unprecedented urbanization and changing life style has led to the substantial generation of municipal solid waste. Approximately only 20 percent of the waste generated is processed and remaining 80 percent is dumped in to landfill sites. Delhi is generating highest quantity of per capita municipal solid waste and about 28 million tonnes of waste lay at Bhalswa, Ghazipur and Okhla landfill sites.This waste have high calorific value and has lot of potential to convert into compost and energy for human use.There is an urgent need to find sustainable solutions and appropriate technology to better manage waste and to generate energy from the waste.The aim of this paper is to characterization the waste and to analyze the waste energy generation potential of municipal solid waste from South Delhi
{"title":"Assessment of Waste To Energy Generation Potential of Municipal\u0000Solid Waste: A Case Study of South Delhi","authors":"","doi":"10.46243/jst.2020.v5.i5.pp162-170","DOIUrl":"https://doi.org/10.46243/jst.2020.v5.i5.pp162-170","url":null,"abstract":"Exponential population growth, unprecedented urbanization and changing life style has led to the\u0000substantial generation of municipal solid waste. Approximately only 20 percent of the waste generated is processed\u0000and remaining 80 percent is dumped in to landfill sites. Delhi is generating highest quantity of per capita municipal\u0000solid waste and about 28 million tonnes of waste lay at Bhalswa, Ghazipur and Okhla landfill sites.This waste have\u0000high calorific value and has lot of potential to convert into compost and energy for human use.There is an urgent\u0000need to find sustainable solutions and appropriate technology to better manage waste and to generate energy from\u0000the waste.The aim of this paper is to characterization the waste and to analyze the waste energy generation\u0000potential of municipal solid waste from South Delhi","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"94 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89089401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-13DOI: 10.46243/jst.2020.v5.i5.pp204-219
Circadian rhythm is a 24-hour cycle of human body, the body different aspect in the morning as compare to afternoon or night. The blood pressure rises in two time in a day, one is at early morning and second one is at evening.The aim of present project work was to design the pulsatile tablet for treatment of blood pressure with combination drug therapy. in most cases it is seen that the increasing in Plasma norepinephrine level and plasma renin activity in the morning; both hormones are potential to induce coronary vasoconstriction, therefore, there is a need to a such formulation who achieve peak plasma concentration of drug at morning and can control morning spate of B.P. The pulsatile release of nebivolol after the lag time with sustain release of curcumin which maintain the severity of blood Pressure. The Formulation of Core tablet of nebivolol was prepared by using superdisintegrate by direct compression with diluent. F10 batch was found to be optimized formulation as it shown potent drug release within short time. The lag time was prolonged with an increase of the coating level, whereas the drug release rate was almost constant, irrespective of the coating level the lag time of nebivolol was found to be 8 to 8.5hrsand drug release after 9hrs. drug release was above 95% after lag time with constant release of curcumin. Hence, this approach can provide a useful means and may be helpful for patients with morning spate of BP and development of PDDS of combination drug therapy is a promising approach to overcome the side effect of single drug i.e. nebivolol drug therapy and also oral drug delivery.
{"title":"Formulation and Optimization of Pulsatile Tablet for Circadian\u0000Rhythm of Blood Pressure","authors":"","doi":"10.46243/jst.2020.v5.i5.pp204-219","DOIUrl":"https://doi.org/10.46243/jst.2020.v5.i5.pp204-219","url":null,"abstract":"Circadian rhythm is a 24-hour cycle of human body, the body different aspect in the morning as compare\u0000to afternoon or night. The blood pressure rises in two time in a day, one is at early morning and second one is at\u0000evening.The aim of present project work was to design the pulsatile tablet for treatment of blood pressure with\u0000combination drug therapy. in most cases it is seen that the increasing in Plasma norepinephrine level and plasma\u0000renin activity in the morning; both hormones are potential to induce coronary vasoconstriction, therefore, there is a\u0000need to a such formulation who achieve peak plasma concentration of drug at morning and can control morning\u0000spate of B.P. The pulsatile release of nebivolol after the lag time with sustain release of curcumin which maintain\u0000the severity of blood Pressure. The Formulation of Core tablet of nebivolol was prepared by using superdisintegrate by direct compression with diluent. F10 batch was found to be optimized formulation as it shown\u0000potent drug release within short time. The lag time was prolonged with an increase of the coating level, whereas the\u0000drug release rate was almost constant, irrespective of the coating level the lag time of nebivolol was found to be 8 to\u00008.5hrsand drug release after 9hrs. drug release was above 95% after lag time with constant release of curcumin.\u0000Hence, this approach can provide a useful means and may be helpful for patients with morning spate of BP and\u0000development of PDDS of combination drug therapy is a promising approach to overcome the side effect of single\u0000drug i.e. nebivolol drug therapy and also oral drug delivery.","PeriodicalId":23534,"journal":{"name":"Volume 5, Issue 4","volume":"45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84206807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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