Volume 9 | Issue 6

 Abstract

Mesoporous silica oxide nanoparticles are receiving growing attention from the scientific medical community. Among the various styles of inorganic nanomaterials, mesoporous silica oxide nanoparticles have emerged as promising multifunctional platforms for nanomedicine. Since their introduction within the drug delivery landscape in 2001, mesoporous materials for drug delivery area units receiving growing scientific interest for his or their potential applications within the biotechnology and nanomedicine fields. Mesoporous oxide materials exhibit a bigger capability for medication loading and ensure a controlled bio-active compound unharness if they're functionalized than amorphous mixture oxide. This review summarizes the recent advancement within mesoporous oxide nanomaterials' getting and biological properties, action the synthesis strategies, and drug delivery application.

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Types, Advantages, Disadvantage, Synthesis, Applications

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 Abstract

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Image, caption, convolutional neural network, Description, Artificial intelligence.

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Agriculture is the backbone of India. It also plays an important role in the Indian economy by providing a major percentage of domestic cultivation to ensure the security of food. Now a days all the farmers facing difficulties on cultivation due to natural calamities and wrong selection of crops. Machine learning is one of the best possible ways to solve the farmers problem at an extend. However there occurs a problem regarding which algorithm suits the best as well as which is the best way to do so. This paper is a survey on the strategies as well as the algorithms used with pros and cons. With existing system issues and libraries used.

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Machine Learning, prediction, Classification Technique.

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Stock market is widely used in investment scheme promising high return but it has some risk. Stock returns are very fluctuating in nature. They depend upon various factors like previous stock prices, current market trends, financial news, social media etc. Many practices like technical analysis, fundamental analysis, time series analysis and statistical analysis etc. are used to predict the stock value but none of these procedures are proved as an allowable prediction tool. This paper surveys various machine learning techniques and algorithms employed to uplift the accuracy of stock price prediction.

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Machine Learning, Prediction, Support Vector Machine, Accuracy, Linear Regression

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Sustainability, Urban Transport, Mobility, Sustainable Transport

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Malignant growth, a significant general medical condition, shows huge redox modification. Thioredoxin (Trx) framework, including Trx and Trx reductase (TrxR), as well as Trx-collaborating protein (TXNIP) play significant parts in controlling the cell redox balance in malignancy cells.Indoles are regular items notable for their anticancer action, which is identified with their capacity to induce cell passing for some malignancy cell lines. This audit addresses indoles as regular items, system of indoles, encouraged acceptance and ongoing examinations with indoles and related mixtures that were explored by means of anticancer screening and that prompted drug endorsement. Thioredoxin (Trx), thioredoxin reductase (TrxR), and NADPH are key individuals from the Trx framework that is engaged with redox guideline and cell reinforcement protection. numerous tumor cells express significant degrees of Trx and TrxR, which can be liable for drug obstruction in tumorigenesis. Hindrance of the Trx framework may in this manner add to malignant growth treatment and improving chemotherapeutic specialists. There are currently various effective normal and manufactured inhibitors with chemotherapy applications having antitumor movement going from oxidative pressure enlistment to apoptosis. In this article, we first depicted the highlights and elements of the Trx framework and afterward surveyed briefly its relationships with malignancy. At last, we summed up the current information about the Trx/TrxR inhibitors as anticancer medications.

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Indoles, Thioredoxin , Thioredoxin reductase, Cancer, Cancer therapy, Oxidative stress.

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Internet of Things, Machine learning, Raspberry pi, OpenCV, Face recognition, Haar cascade classifier.

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Fuschia is a new capability based realtime operating system developed by Google that prioritizes security, updatability, and performance of the system.Fuchsia is based on new kernel,named as Zircon (formerly called Magenta), a medium-sized micro-kernel that is itself based on a project called LittleKernel .Google has been working on Fuchsia for a while and without giving many clues about it.The long-awaited FUCHSIA operating system from Google finally starting to roll out on real Made by Google devices, namely, the first-generation Nest Hub.

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kernel , Flutter, Nest-Hub

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Drowsy detection, Face detection, Alcohol detection, Location Tracking.

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The covid-19 widespread emergency has incredibly affected public bus transport, after the covid-19 in numerous nations begun a modern type. But after that, the bus transport benefit got to execute certain measures and policies to diminish the spread of the corona virus. This paper analysed the zone of Avadi with the related issue of covid-19. And also, dissect the variables that impact the issues and important recommendations based on the investigation. This research discussed the present situation of Covid -19 struck the public bus transport services in our nation, and it dissects the security measures to add liberally to the transport benefit the place of Avadi in the Chennai area within the covid-19.

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Keywords: Socioeconomic factors of Avadi in Chennai., Total number of bus services in Avadi and safety measures of travel in public bus service.

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In the early of all technology's the traditional way is used to search or retrieve the documents by manually such as using the data attributes like name, topic, keyword , date , time, which would be easy for computer to understand it and perform retrieval process. So to avoid this traditional methodology to retrieve or search the document . We use text summarisation , image processing and natural language processing this lead to provide required data files which is stored in the database. By using text summarization and NLP the textual annotations will actually match the textual information which is present kin data files. Objective of our system is to retrive a particular document from the database by passing keyword as a query to it and comparing the passed keyword with the actual content of the document it should be retrieved and aim is to extract particular document from the database which is saved by comparing its content with keywords which passed as query. The traditional way is to storing the documents but instead of storing the digital copy of the document is the effiecient to retrive the documents. Storing paper-based documents converted into digital image format image of effiective solution to preserve content in document. Searching the document images stored in the data set is a repository by using time as a quries in one of importance tasks of document retrival.

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Text Summarization, Image Processing ,Natural Language Programming, Optical Charachter Recognition, Text Recognition, Image Processing

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During fasting, there is a decrease in food intake, putting patients with diabetes at a higher risk for complications. The length of time fasting can influence the high risk that occurs. This journal review aims to determine the risk of diabetic patients who are fasting during Ramadan and how to handle it. The method used is to search for secondary data on the internet in the form of journal publications. According to research in reviewed journals, during fasting, there are several metabolic changes in the body. The complications that may occur are hypoglycemia, hyperglycemia, dehydration, and thrombosis. We can prevent these complications by implementing the recommended lifestyle or by carrying out pre-Ramadan education.

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Ramadan, Benefits of Fasting, Type 2 Diabetes

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The real time sign language is important for people that have hearing and speaking deficiency generally called Deaf And Mute. It is the sole mode of communication for such people to convey their messages and it becomes vital for people to know their language. This paper proposes the tactic or algorithm for an application which might help in recognizing the various signs which is named Indian real time sign language. The images are of the palm side of right and left and are loaded at runtime. The method has been developed with reference to single user. The real time images are going to be captured first then stored in directory and on recently captured image and have extraction will happen to spot which sign has been articulated by the user through keras sequential model algorithm. The comparisons are going to be performed behind then after comparison the result are going to be produced in accordance through matched key points from the input image to the image stored for a specific letter already in the directory or the database the outputs for the following can be seen in below sections. There are 26 signs in Indian Sign Language corresponding to each alphabet out which the proposed algorithm provided with 95% accurate results for 9 alphabets with their images captured at every possible angle and distance i.e. for every alphabet even if have approximately 5 images at different angles and distances then the algorithm is working accurately for 45 types of inputs.

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Real Time Indian Sign Language, Feature Extraction, Key point Matching, Sign/Single hand Gesture Recognition

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Tourism plays an important role in the development of Northeast India economy. Tourism is one of the major income source for the people of Northeast India. It creates unlimited of employment directly & indirectly. This paper focuses on the impact of covid-19 on the tourism industry of Northeast India.

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covid-19, Impact, Northeast India Tourism, corona virus, pandemic

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This paper gives detailed design of smart medicine trolley, Smart Medicine Trolley used in pandemic condition of Covid 19. Smart Medicine trolley can mainly used in hospital for saving life of people also providing them with some medical related facilities. This project mainly related to the ultrasonic sensor, Arduino and bluetooth module and some other components are also used, basically Trolley is controlled by using remote controller and moved forward and backward, left-right.

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Trolley, Safety, Covid-19

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We have here studied some conventional and novel method approaches for extraction of Mangiferin from leaves of Mangifera Indica (Mango). The one of the common methods used for extraction of Mangiferin is three phase partitioning. The other methods such as Batch extraction, Soxhlet extraction were also studied to see which method gives the optimum yield of Mangiferin. Three phase partitioning (TPP) is the method of extraction in which two phases viz. organic phase and aqueous phase are formed by salt (mostly Ammonium sulphate) saturation, continuous addition of solvent (mostly t-butanol) and adjusting the pH respectively. TPP is the most simple, economical and quick method for recovering Mangiferin from Mangifera Indica leaves as it requires less amount of solvent for extraction and also takes less time. Various parameters which have effects on TPP extraction of Mangiferin such as right salt selection, extraction time, slurry to t-butanol ratio, solute to solvent ratio and right pH were tested to get the optimum yield of Mangiferin. In the study, it was observed that in Soxhlet extraction, the mangiferin content was found to be 57mg/g in 5 hr. time, while in TPP the mangiferin content was 28mg/g in 2 hr. time. Also, conventional batch extraction using water as solvent gave the total yield of 23 mg/g in 2 h 40 min.

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Three phase partitioning, extraction, mangiferin, Mangifera indica leaves, batch extraction, Soxhlet extraction

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Energy efficiency in building can be achieved through cutting down both consumption and embodied energy. Embodied energy can be reduced by the use of renewable and locally available materials. Consumption can be reduced through the redesign of appliances such as water heaters and lighting sources. The project focuses on the reduction of room temperature and for saving of the energy in the buildings. The proposed solution consist of adding paraffin wax in the form of liquid with the concrete and placing the mix in the form of encapsulation or cenospheres in the wall panels. The addition of phase change materials like paraffin wax or bees wax and polyethylene glycol (PEG) along with the titanium dioxide powder concrete mix and making the building an energy efficient building. The effect of each thermal behavior modification on the properties of concrete on addition of titanium dioxide powder to the partial replacement of cement the PCM reduces the heat transfer in the structure. This controls the temperature interval and gives the required result during addition of PCM materials. This project literally aims to achieve an efficient green building which reduces the heat transfer from external environment to internal structure. They provide an impact over the hollow blocks and it is found that CenoPCM capsules have great potential to be added into construction materials for reducing energy consumptions in buildings. The construction industry is striving to develop energy efficient buildings and materials, as economic and environmental constraints are bound to increase in the coming years.

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pcm , thermal resistance , compression strenght ,energy consumption

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Health insurance is insurance that covers the whole or a part of the risk of a person incurring medical expenses, spreading the risk over numerous persons. By estimating the overall risk of health care and health system expenses over the risk pool. Most health insurance plans encompass each inpatient and outpatient covers the grounds that injuries and extended infection while overseas may be extraordinarily highly-priced and very stressful. In this paper, we are Predicting the Insurance Claim of each user. This observes the cost of healthcare for a sample of the population given smoking habits, age, sex, body mass index, and region. The data features observations of statistical information and regression analysis of the dataset. The goal is to predict the best estimator of insurance charges using machine learning algorithms. Machine Learning algorithms for Regression analysis and Random Forest Regression analysis are used and Data Visualization is also performed to support Analysis.

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Insurance, Health System, Smoking Habits, Age, Sex, Body Mass Index, Random Forest Regression.

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Profitability, Selling & Marketing Expenses, Telecom companies

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Rural illnesses and bug vermin are quite possibly the main factors that genuinely compromise rural creation. Early discovery and ID of vermin can adequately lessen the monetary misfortunes brought about by bugs. In this paper, convolution neural organization is utilized to consequently recognize crop infections. The informational index comes from the public informational collection of the AI Challenger Competition in 2018, with 27 illness pictures of 10 yields. In this paper, the Inception-ResNet-v2 model is utilized for preparing. The cross-layer direct edge and multi-facet convolution in the leftover organization unit to the model. After the joined convolution activity is finished, it is actuated by the association into the ReLu work. The test results show that the general acknowledgment precision is 86.1% in this model, which confirms the viability. After the preparation of this model, we planned and executed the We chat applet of harvest sicknesses and bug bugs acknowledgment. At that point we completed the genuine test. The outcomes show that the framework can precisely distinguish crop infections, and give the relating direction.

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Recognition of Pests and Diseases, Deep Learning, Convolutional Neural Network, Harsh Environment.

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