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Influence of Kollidon SR on Ondansetron HCl pH Independent Drug Release from Hydroxypropyl Methyl Cellulose Matrix Tablets
No full textThe Polymers are tools used in novel drug delivery system to modify the drug release of pharmaceutical dosage form. Ondansetron HCl is a weakly basic drug belongs to BCS class-II; it is showing distinct pH dependent solubility. The major intention of the current study was to develop a pH independent controlled released system for pH dependent poorly soluble Ondansetron HCl. The effect of combination of polymers on parameters like release pattern, release mechanism of the drug were studied. A 32 full factorial design was used to study the effect of Kollidon SR on Ondansetron HCl Drug Release from Hydroxypropyl Methyl Cellulose Matrix Tablets. The release rate from formulated matrix tablets was studied at both SGF (pH 1.2) and SIF (pH 6.8). Drug release from Kollidon SR and Methocel (1:1) based matrix system based tablets was found to pH independent controlled drug release up to 24h with >90% drug release. Kollidon SR has a distinctive character of maintaining tablets geometric shape until the end of dissolution test, this is mainly due to the water insoluble content, polyvinyl acetate, forming 80% (w/w) of Kollidon SR, while the remaining content 20% (w/w) is the water soluble, polyvinylpyrrolidone, responsible for pore formation causing a diffusion controlled release The similarities in Release profiles were evaluated by applying the model independent (f2) similarity factor. The Optimized formulation characterized by DSE, X-RD and FT-IR studies was found not having any interaction with polymer and drug. The Optimized Formulation followed zero order with non-Fickian diffusion method. In conclusion, Kollidon SR and Methocel k100 were found to be novel potential candidates for the development of pH independent controlled delivery system of Ondansetron HCl
Financial Awareness amongst Doctors
Full text linkDespite the fact that medicinal experts are splendid, they have not had sufficient energy to find out about regular funds and are horrible at it. Specialists have a long preparing period and consequently begin gaining late. The underlying winning stage includes reimbursement of training credit, beginning a family and setting up a training which again includes taking an advance. Gear should be included and updated and they require unique protection for their assurance against cases. They have long and eccentric working hours and don't have much time to design their funds. They are obvious objectives of relationship administrators and insurance specialists. Doctors have an ethical commitment to ensure patients' physical wellbeing as well as their budgetary wellbeing and they will be progressively constrained to think about expenses and perceive their job in securing patients' wallets. At the point when a specialist loses cash, similar to any other person the person in question may wind up pushed and lose centre which isn't useful for patients. Basically, we would all be in an ideal situation if these experts better comprehended individual fund, including straightforward ideas like the close reliability of long haul expanded contributing. Medicinal and paramedical individuals have low monetary education and speculation chance resistance, high obligation, and shortfalls in their budgetary readiness. Medicinal instruction at all dimensions of preparing ought to endeavour to improve the budgetary proficiency of wellbeing suppliers by adding individual money related training to the therapeutic training educational plan
Designing of Skip-lot Sampling Plan -V with Minimum Angle Criteria
No full textIn this paper, we developed for the results relating to skip-lot sampling plan V with single sampling plan as reference plan indexed through minimum angle in operating characteristic curve based on incoming and outgoing quality levels. Tables are constructed for the selection of the plan parameters which involve method of minimum angle criteria
Machine Vision Approach for Arrhythmia Classification using Incremental Super Vector Regression
Full text linkA huge piece of the biomedical research range is devoted to create electrocardiogram (ECG) signal preparing procedures to add to early conclusion. Numerous cardiovascular variations from the norm will be showed in the ECG including arrhythmia which is a general term that alludes to an unusual heart musicality. The premise of arrhythmia conclusion is the ID of typical versus anomalous individual heart thumps and their right order into various analyses, in view of ECG morphology. In any case, the majority of the past investigations revealed the execution of either the SVMs or the ANNs without inside and out examinations between these two strategies. We have actualized super vector regression (SVR) which gives preferable outcome over other. Likewise, a substantial number of highlights can be removed from ECG signs and some might be more applicable to heart arrhythmia than the others. This paper is to upgrade the execution of heart arrhythmia arrangement by choosing applicable highlights from ECG signals. The viability, precision and capacities of our strategy ECG arrhythmia identification are shown and quantitative examinations with various models have likewise been done.The outcomes got from disarray lattice tests yielded on-line order exactness of 96% (ANN), 94% (SVM), 91% (NMD) and 99% (Proposed SVR). The outcomes propose that the strategy and model displayed is reasonable
Drowsiness Detection and Vehicular Safety System for Monitoring the Loss of Attention in Locomotive Drivers
Full text linkIn a creating country like India, with progression in the transportation innovation and ascend in the complete number of vehicles, street mishaps increments are often. The fundamental driver behind these street mishaps are the absence of preparing establishments, untalented drivers, poor street conditions, utilization of PDAs amid driving, expending liquor while driving, over-burdening and poor administrative plans in such manner. The proposed work is to alarm the driver when he is lazy or diverted far from typical ready mode to non-ready mode by methods for ringer or vibration instrument. In this task, constant information is gathered by camcorder and other miniaturized scale electro mechanical framework gadgets (MEMS). This information gives data about driving state of the driver which goes about as contribution to controller. The suitable measures are taken by the controller to alarm the driver.
Distributed Data Compression using Cloud Computing Approach
No full textStorage and data trafficking have grown a great deal over the past decade. Therefore, there is a need to reduce the size of the data for better speed and proper utilization of the bandwidth. There are compressions that happen online as well as some happen statically. The online based compression is in greater demand, since an online platform is much easier and faster. Static methods have a requisition of the entire file to be present at the time of transmission, while online compressions don’t. Compressions make use of an algorithm to effectively shrink the data. Depending upon the speed of compression and the data loss, we can determine whether the compression algorithm is good or not. Data compression can be used on any form of data. Be it images, or videos to simple text files, we can compress the data. Compression mainly involves removing the redundancy in the data. Depending on the redundancy, a text file can be reduced up to 50% or more than its original size. There are many forms of compression. Few examples are: ZIP, RAR, GZIP, PNG, JPEG, WAV, etc. There are two methods of compression. A loss less compression and a lossy compression. Few algorithms that are most widely used in lossless compression is Huffman encoding and LZ77 encoding. In this study, we hope to come up with a better compression algorithm using modern approaches and tools using Singular Value Decomposition technique
Character Recognition of Handwritten Text Using Machine Learning and Image Processing
No full textIn today’s world there have been various advancements in computing fields and as a result there is a greater need for smart devices. As soon as we come across the word ‘smart’, we immediately think of intelligence. It is intelligence and intelligent devices that have shaped modern life in the last two decades. One such example of an intelligent device is a character recognition device. Current character recognition methods work well to a good extent (98%) for typed text but this accuracy drops once the input starts becoming dynamic. This occurs when the text is handwritten or if there is a variation in its style, font, etc. We require accurate results irrespective of the dataset. Hence, we apply supervised machine learning which works by learning attributes and classifying labels. The advantage of this specific method is that it works even in the case of large datasets. In this project, we use image processing, supervised machine learning and deep learning algorithms to obtain accurate results for dynamic inputs without the loss of accuracy over a wide range of datasets
IOT Based Monitoring System in Smart Agriculture
No full textWe all know that smart agriculture using IoT is an emerging concept which plays crucial role. Through IoT (Internet of Things), we can communicate and interact with others over the Internet, and they can be remotely monitored and controlled. According to Ministry of Agriculture and Farmers Welfare (India), 52.1% of the population estimated directly or indirectly employed in agriculture. The aim of this paper is to propose a smart IoT based agriculture continuously assisting farmer in getting live data for efficient environment monitoring which will activate them to do smart farming and to improve the product quality
Design of E-shaped Microstrip Patch antenna for S band Applications
No full textMicro strip antennas are widely used in many applications due to their low profile, low cost and ease of fabrication which is required in various applications like mobile & satellite communication, Global positioning system and wireless application etc. In this paper, different E-shaped micro strip patch antennas are designed and the results are compared. The antenna design is an improvement from previous research and it is simulated using ADS (Advanced Design System) software. The design has been made on low cost material of FR4 substrate having dielectric constant of 4.2 with thickness of 1.6 mm. The proposed scheme is used by the probe feeding technique in order to operate under the frequency range of 3.45 GHz. The main objective of this paper is to design E-shaped microstrip antenna under various conditions by adjusting the dimensions of the antenna. After comparing different antenna’s parameter values, the better antenna will give good enhancement in the return loss, bandwidth, gain and directivity
A Methodology to Secure ATM System Using Microcontroller
No full textThis paper gives the depiction of the new way to deal with wards the security of ATM (Automatic Teller Machine) Systems. Frauds related to the ATM (Automatic Teller Machine) are increasing day by day which is a serious issue. ATM security is used to provide protection against these frauds. Though security is provided for ATM machine, cases of robberies are increasing. Past advancements give security inside machines to secure transaction, yet machine isn't flawlessly ensured. The ATM machines are not safe since security provided traditionally were either by using RFID reader or by using security guard outside the ATM. This security is not sufficient because RFID card can be stolen and can be misused for robbery as well as watchman can be black mailed by the thief. So there is a need to propose new technology which can overcome this problem. This paper proposes a system which aims to design real-time monitoring and controlling system