Volume 9 | Issue 6

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Burn wound, Inducible Clindamycin Resistance, MRSA

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In the very beginning of 2020, covid-19 exploded all over the world and disturbed our lifestyle. In these tragic conditions, alcohol-based hand sanitizers play an important role and become a vital fluid nowadays though they need to be used properly. Touching alcohol containers or hand sanitizers with infected hands can spread the virus to the next person. We propose to build an automatic hand sanitizer dispenser that uses IR sensors to detect the presence of a hand and activates a pump or solenoid to pour the liquid on the hand. The intention was to find the cheapest and easiest solution and design a circuit & manufacture the same in India. The dispenser is contactless and will spray alcohol-based hand rub sanitizer for sanitization of hands while entering buildings like Hospitals, Office complexes, Malls, etc. This is a mist-based dispenser, to optimize the consumption of sanitizer. Whereas in normal usage, we use 20-30 ml of sanitizer for one operation, this sanitizer does the same job by dispensing just 5- 6ml of sanitizer in mist form over a long period.

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LD Micro, IR-Sensor

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Utilization of industrial waste materials in concrete compensates the lack of natural resources, solving the disposal problem of waste and to find alternative technique to safeguard the nature. There are a number of industrial wastes used as fully or partial replacement of coarse aggregate or fine aggregate. This review carries out a thorough assessment about industrial waste substances, which can be adequately utilized in concrete as fine aggregate substitution. This paper reviewed foundry sand as industrial waste. Basically sand from industrial waste flow through the machines during the sand reclamation process. Experiments have been conducted using waste foundry sand. Crushed sand has been replaced by waste foundry sand which improves compressive strength.

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Waste Foundry Sand, Compressive Strength, Grade of Concrete.

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Emergency vehicles such as ambulances, fire trucks are delayed in traffic as they confront numerous challenges, and valuable human lives are lost as a result of bad traffic management. In this research, a model is proposed for predicting traffic heaviness on roadways utilising image processing techniques with an emergency vehicle recognition system, as well as a traffic signal management model based on information collected from real time traffic videos. The majority of traffic signal systems use a timing mechanism that switches the lights after a set amount of time. In some situations, this may be ineffective. The controller receives no feedback from the regulated variable (traffic volume) (traffic control system using lighting). For example, whether the road is crowded or not, the duration of the green light will always be the same. To solve these congestion problems, it is better to build a new control system; a smart and intelligent control system. The smart traffic light system senses the presence or absence of vehicles and reacts accordingly. The idea behind smart traffic systems is that drivers will not spend unnecessary time waiting for the traffic lights to change. In addition, on detecting emergency vehicles in a lane the traffic signal is turned to green immediately so that a free passage is provided to these vehicles. This would help the emergency vehicles to reach the destination on the time thereby saving time as well as loss of life.

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Image Processing

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Abstract Covid second wave infections are reported in the country and it is having a super spread. Kerala alone have a number of cases. Generalized Anxiety Disorder (GAD) is characterized by persistent and excessive worry about a number of different things. People with GAD may anticipate disaster and may be overly concerned about money, health, family, work, or other issues. Purpose of the study: To study about Generalized Anxiety among Young Adults during Covid Second Wave infection. Method: Survey Method is used to collect the data. Sample: study was conducted on 120 young adults which include 60 males and 60 females from various districts of Kerala and random sampling is used. Measures: Generalized Anxiety disorder Screener (GAD-7) by Spitzer et.al (2006). Statistical Analysis: t Test to statistically analyse the data. Keywords: Covid, Covid Second Wave, Generalized Anxiety, Anxiety, Infection

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Covid, Covid Second Wave, Generalized Anxiety, Anxiety, Infection

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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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 Abstract

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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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 Abstract

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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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 Abstract

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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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