Volume 10 | Issue 5

 Abstract

In the field of electrical and magnetism, the LCR circuit is an important element. Complex numbers and trigonometric identities are widely used in the theory of electric circuits. The entire set of equations is tough to remember and simplify. There are several equations and principles to remember. They're all working for LCR, and the whole situation is more intricate than it was before. As a result, comprehending resonance phenomena in LCR circuits is a difficult task. The purpose of this paper is to demonstrate how to use wxMaxima software to make solving mathematical problems simple easy and interesting.

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 Keywords

wxMaxima, LCR circuit, resonance.

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The primary purpose of this study was to design and evaluate a single-unit time-controlled oral pulsatile drug delivery system containing salbutamol sulphate for nocturnal asthma attack prevention. Time-dependent delivery systems are intended to provide a rapid or prolonged release of the medicine after a certain amount of time, referred to as the lag time. These systems can be used for a variety of purposes, including chronotherapeutic formulations and medication administration into the colon. The purpose of this work was to create a time-dependent press-coated tablet. This work seeks to create and assess a chronomodulated drug delivery system of antiasthmatic medication, a selective 2 receptor blocker for the treatment of nocturnal asthma, which is valid and acceptable reasoning. The purpose of this paper is to provide an overview of the rationale for delayed-release dosage forms as well as the primary formulation methodologies. Maintain a lag time of 4-6 hours before drug release and a lag time of 4-5 hours between plasma peak concentration and controlled release of a medication indicated for the pharmacological treatment of asthma. The goal was to have a six-hours lag time. The device is used at bedtime and is expected to deliver the medicine after 6 hours, or around 4 a.m. when asthma episodes are most common.

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 Keywords

Salbutamol sulfate, asthma, Time-controlled pulsatile tablet, Time Dependent Delivery ,Press-coated tablet, 6 h lag time, Burst release

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This explores how current available tools address problems with noise in web user profile. We establish that current research works eliminate noise from web data mainly based on the structure and layout of web pages i.e. they consider noise as any data that does not form part of the main web page. However, not all data that form part of main web page is of a user interest and not every data considered noise is actually noise to a given user. The ability to determine what is noise and useful to a dynamic web user profile has not been fully addressed by current research works. We aim to justify a claim that it is important to learn noise prior to elimination, to not only decrease levels of noise but also reduce loss of useful information. This is because if noise in web data is not clearly defined and analysed through learning, the purpose and its use will be compromised hence its overall quality

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 Keywords

Web Usage Mining, Web Log Data, Noise Data, User Profile, User Interest.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative, Visual Arts, Performing arts, society, Philosophical meaning

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Creative Commons Attribution 4.0 and The Open Definition

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The high rate of student dropout in Massive Open Online Courses (MOOCs) is a serious issue with these courses. An effective MOOC student dropout prediction model can identify the reasons that cause students to drop out and provide insight into how to implement interventions to improve student success. For the prediction of student dropout in MOOC courses, many features and methodologies are available. The data from a self-paced math course, College Algebra and Problem Solving, given on the MOOC platform Open edX in collaboration with Arizona State University (ASU) from 2016 to 2020 are examined in this research. This research proposes a model for predicting student dropout from a MOOC course based on a set of variables derived from the daily learning progress of students.In the prediction, the Gradient Boosting Model technique from Machine Learning (ML) is performed, and validation factors such as accuracy, precision, recall, F1-score, Area Under the Curve (AUC), and Receiver Operating Characteristic (ROC) curve are used. With an accuracy of 87.5 percent, AUC of 94.5 percent, precision of 88 percent, recall of 87.5 percent, and F1-score of 87.5 percent, the model constructed can predict whether students will drop out or continue in the MOOC course on any given day. Shapely values were used to explain the contributing features and interactions for the model prediction

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Machine Learning, Feature Selection

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 Abstract

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intellectual property law, intellectual property rights, types of intellectual property, challenges faced into contemporary arts and intellectual property

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A healthy diet is essential for good health and nutrition as it protects against many chronic non communicable diseases. In spite of growing awareness amongst people, there is a constant rise in number of health-related issues in all age groups due to misleading information, ignorance, quacks, changing lifestyle, stress, and ambitious goals. It is indeed a challenge to come out with healthy, ready to eat or cook options which are pocket friendly and meet various nutritional requirements. Thus, a functional food product was developed to meet the market demands as people prefer healthy foods. The standardized product is a Pizza base made using flour of bajra, soya bean, oats, lotus seeds, pumpkin seeds, white sesame seeds, mixed herbs & groundnut oil. A sensory evaluation was carried out with 30 consumer panellists using a 5-point Hedonic scale & attributes tested were appearance, aroma, taste, texture, & overall acceptability. The product was found to be acceptable and scored an average of four. The other aspects studied were packaging, nutritional labelling, budgeting and marketing. The product was packed in a polythene bag & sealed using a heat-sealing machine. Shelf life is 5 days but further studies are in process. The recipe being nutrient rich, can help with various conditions if consumed on regular basis. Development of this product provided an opportunity to replace refined pizza base with a healthy alternative.

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High fibre, protein rich, sensory evaluation, healthy snack, pizza, food product development.

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As a result of high levels of triglycerides, cholesterol and other lipids in the bloodstream, hyperlipidemia is a disorder that may lead to heart disease and stroke. Increased levels of plasma lipids are the root cause of many cardiovascular illnesses. A major part of this study is devoted to the function of cytochrome and plant extracts, as well as animal screening models. Hyperlipidemia may be treated with a combination of over-the-counter drugs and dietary adjustments, as well as frequent exercise and a healthy diet. It also discusses the different hyperlipidemia screening models that are now available..

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Hyperlipidemia: An updated role of cytochrome P450, explored plants and screening animal models for hyperlipidemia

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This paper presents the performance of Virtual Private Network (VPN), Established through IGP- Interior gateway protocol and BGP- Border gateway protocol. The topology was simulated using GNS3 simulator. Which is a Graphical Network Simulator. Information is the true universal currency which we all carry with us every day. Thanks to how computer system connects us, we can share information globally, to share that information securely VPN connections are used widely. Which keeps your information secure and anonymous. Network testing such as ping command has been used to measure the connectivity as packet transfer. We have also analyzed a transmission of packet by using Wireshark tool. In this Paper we have established a VPN for a company whose head office is in Hyderabad and branch office is at Bangalore. A secure IPsec VPN tunnel has been created over a public network (Internet). This work is significant to forecast of network design and to analyse the performance of VPN.

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Virtual private network-VPN, IGP, BGP Protocols, GNS3, ping command.

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Over the years, e-learning, also known as digital education, has gone through numerous stages and transitions. It uses one or more online instruction tools to supplement the use of technology in the classroom. Past and recent studies have revealed a number of limitations and flaws that greatly impede the online education system's inclusive performance and procedure. Many countries have had to adapt to new situations in various sectors, including education, as a result of the Covid-19 pandemic. This research backs up the necessity to plan and implement e-learning strategies, as well as transition to resilient e-learning technologies in the online educational system. This is accomplished by undertaking a complete and critical assessment of certain previous and recent related studies in order to gain a better understanding of its current state. Identifying related solutions to prepare and implement learning strategies to shift into resilience elearning technologies and role in modern and sustainable society, in addition to determining which factors or barriers pose the most significant challenges and barriers to stakeholders implementing e-learning technologies.

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E-Learning, online education, e-tutoring.

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Capacitor Switching, Power Quality, Voltage Magnification, Transient, Switching Transient

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Tensegrity, Pedestrian Bridge, Walkway Bridge, Tensegrity modules, Design optimization, Dynamic behaviour.

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Vehicle population in cities of India is increasing at a fast rate. As result of rapid growth smart solution required for cites infrastructural growth, all of which require to be integrated with public transport. Various researches and development are held by researchers to find economic and time saving technic of constructions. Precast concrete is one of those researches. The favor of precast method in construction has increased worldwide in the last few decades. This method of superstructure casting in metro projects offer multiple advantages to owners like reduced costs, reduced construction time, reduced environmental impacts, and reduced maintenance of traffic. Infrastructure projects like Metro, flyover alignments are fixed and constructed in high dense traffic areas where diversion of road either costly or not possible. With precast we can solve traffic diversion or road block issues while construction of any infrastructure project. The construction of both medium and long span precast concrete segmental spans is widely spread throughout India for metro projects. This method can also be taken in highways, railways, and rapid transit, in both urban and rural area. Alignment can be straight or curved, and can implement in long spans for difficult obstructions and territory. This paper reflects the various types of precast superstructure. Also from the points of cost, time and safety, this paper contributes to promote the use of high performance concrete, and to optimize the design and the casting of precast segmental spans, especially precast viaducts built by precast segmental method.

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 Keywords

Precast Concrete, Alignment, precast viaducts, metro, rapid transit

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Fiber optic communication system is an efficient technology to meet the need of various highspeed communications. Optical amplifiers plays a prominent role. Semiconductor optical amplifier (SOA) is used for many applications. Here SOA is used for ultrashort pulse generation. The analysis of the proposed method is conducted using OptiSystem software. In this paper, discussions on mode-locking technique in SOA, harmonics generation in time domain visualizer are provided. Here SOA act as a laser source and produce the signal at better power with nanosecond pulse width. The output power reaches to when the injection current of the SOA is 250mA.

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 Keywords

semiconductor optical amplifier, mode-locking, harmonics

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Classification of Power Quality Disturbances (PQDs) becomes a key issue for end-users in order to enhance the Power Quality (PQ). To improve the electric power quality, sources and causes of disturbances must be known and controlled. It is necessary to classify these events in order to provide proper mitigation action as power quality disturbance waveform recognition is difficult because it involves a broad range of disturbance categories or classes. This dissertation presents S-transform (ST) based feature extraction method in which by visual inspection one can classify the power quality disturbances. S-transform can be effectively used for the analysis of power quality (PQ) disturbances and has the ability to detect the disturbance correctly. In this dissertation work three types of PQ disturbances namely voltage sag, swell and interruption are generated using the integral mathematical models of power quality disturbances implemented in MATLAB. The voltage signals obtained from integral models are further processed using ST and appropriate features are extracted. The extracted features are further used for classification of power quality disturbances using ANN.

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POWER QUALITY DISTURBANCES

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Fishing is one of the key sources for food and revenue in any geographical region. Because water plays such a significant part in a country's economy, it is no surprise that neighbouring nations that share the same seas regularly engage in conflicts about control of the region. This has caused serious conflicts for the fishing population in these nations' coastal areas. With the current tools available to fishermen, crossing boundaries and recognizing places in the water has become a challenge. As a consequence, they traverse international boundaries. In our daily lives, we hear of numerous Tamil fishermen being apprehended and detained by the Sri Lankan Navy. The fundamental cause for this infraction is that the maritime boundary between the nations is not immediately recognized. Furthermore, in the event of an impending natural catastrophe, failure or delay in warning leads in widespread loss of life. In this project, we suggested a mechanism that protects fishermen by tracking their admissions and departures from the port using an embedded system and informing them of the country's maritime boundary using GPS and Internet of Things technology (IOT). When they intentionally attempt to cross the border, the boat will automatically reverse course and return to the safe zone. RF signals are used to forecast the zones.

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Fishermen safety, Border detection, IOT,Air velocity, Ultrasonic sensor

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This article throws light on the FDI and its impact on economic development. Also, the main focus here is on the government strategies and policies that are adopted with regard to FDI and a democratic policy regime has sustained FDI attraction as a favourable destination for foreign investors. This research paper aims to examine the impact of FDI on the Indian economy, particularly after the pandemic situation and economic reforms adaptation of economic reforms, and analyses the challenges to position itself favorably in the global competition for FDI. The paper provides the major policy implications from this analysis, besides drawing attention to the complexities in interpreting FDI data in India.

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FDI, Policies, Economy, Sectors, Foreign Investment

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Jackfruit (Artocarpus heterophyllus) is a fruit found in many parts of Asia. It has been gaining popularity due to its delicious, sweet taste and various health benefits. A single jackfruit may contain 100-500 edible and nutritious seeds. Despite their beneficial nutrients, the seeds are typically discarded as a waste. Jack fruit seeds can be promoted as a good substitute for seasonal vegetables and the shelf life can be extended by making into powder. This research aims to develop and formulate functional food products from jackfruit seed. Malnutrition one of the major problems in India and this COVID-19 pandemic made the situation even worst. The major reasons are due to limited access to nutritious foods and poor economic conditions. Only limited functional food products are available in the market and even those products are not accessible to low economic group due to its high cost. The jackfruit seeds are nutritionally similar to grains and rich in Carbohydrate, Protein, Vitamin B complex, Vitamin C, fibre and low in fat. The present study was carried out to develop the value-added functional food products from powdered dried jackfruit seed flour and to analyze the physiochemical characteristics of the jackfruit seed powder, to analyze the proximate principles of developed product and to assess the consumer acceptability of the developed functional food products. Hence providing nutritionally dense, cost effective, accessible food products for everyone made from locally available food will be the sustainable solution to improve the nutritional status of the community. This Jackfruit seeds can be used as an economically alternative nutritious source to tackle the malnutrition problem and to provide additional income to rural community.

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Jackfruit Seeds, Malnutrition, Functional food products

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MFI (Micro Finance Institutions) play a very important role in development. Small amounts of money are a very important source of financial services for people and small businesses that can easily access banks and related services. It is the delivery of financial services to such clients were Relationship Based Banking for individual entrepreneurs, Small Businesses, Group-Based Models Many of those who promote MFI generally believe that such access will help poor people out of poverty. For some it is a way for the poor to manage their finances effectively and take advantage of economic opportunities while managing risk. Terms have changed - from micro-credit to micro-finance, and now 'investment'. This paper discusses Micro finance role in India and its models.

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Economic Opportunities, Microfinance, Microcredit, Entrepreneur, Financial Inclusion,

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Creative Commons Attribution 4.0 and The Open Definition

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: Koda millet dehydrated powder, Beet root powder, Bread, Antioxidant, Sensory attributes

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