Volume 11 | Issue 1

 Abstract

Increasing awareness in recombinant protein technologies for human and animal health applications has focused on microalgae as a platform with the potential to meet a large impending demand. Here we describe a microalgae protein expression system and compare the advantages and disadvantages to other platforms currently operating on a commercial level. High-value recombinant proteins that have been produced in microalgae are presented, and strategies for developing production strains with improved commercial properties are discussed.

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 Keywords

Microalgae, Protein, Biodiesel, Biofuel and Triacylglycerol

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Crime against women is one of the dangerous aspects of our society which is growing continuously in intensity and complexity. The primary objective of this project is to distinguish various crimes using clustering techniques based on the occurrences and regularity. This project mainly focuses on machine learning in pattern recognition for analysis of patterns through Indian states for crime against women. In this project, the crime data is classified using the K-means clustering algorithm. In this there would be a concept of clustering methodology along with machine learning algorithms like cleaning the dataset, clustering the performance of each algorithm is analysed and the best algorithm is found out which is having maximum accuracy of crime detection. The basic aim to provide with online application that could generate a quick and analysed view of crime against women scenario in India.

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k-means,Logistic Regression Algorithm, Support Vector Machine Algorithm , Random Forest Algorithm

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 Abstract

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Gender, Marriage, Emotion, Choices, Awareness of self, Emotional Intelligence.

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Input Image, Face Detection, Feature extraction, Face Emotion classification, Quotes display

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Sexual Assault, Abuse, Rape, Popular Fiction, Socio-feminism, Feminist criticism, Marginalization. Desensitization.

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 Abstract

APPLICATIONS OF ARTIFICIAL INTELLIGENCE ON BUSINESS ANALYTICS

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APPLICATIONS OF ARTIFICIAL INTELLIGENCE ON BUSINESS ANALYTICS

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High growth of the population of the world creates the severe crisis of the protein for the consumption of the human being. It is very difficult problem of the day. To solve this, a study was conducted on the culture of the palatable Gangetic Koi fish ( Anabas cobojius ). The growth of the well feeded Gangetic Koi fish of the treated tank is enhanced in length, breadth and weight. The yield of the Koi fish is also increased (26%) in the production. The other study showed that the growth of the Koi fish stands stagnant after 120th day of the age. So, the harvesting of the fish is economically profitable between 110 - 120th day considering the economics of the cost of the culture.

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Gangetic Koi fish, Tank preparation, Feeds, Pellet, Fish growth rate.

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 Abstract

It takes time and effort to locate the necessary fabric at a neighborhood textile shop. Our website makes it possible for consumers to locate the needed fabric at their convenience without having to struggle through exploring multiple stores. This feature is useful for consumers who are short on time. By making it accessible online, retailers may increase their sales. The available database also allows the merchants to locate specific fabrics in the textile store. This automation enables the merchants to serve more consumers in a shorter amount of time. Pattern recognition would be a challenging task and it is the factor that makes this application worthy. Here comes, Computer Vision and Digital Image Processing tools which plays a crucial role in applications to recognize patterns in images as well as machine learning enabling us to provide the best possible match of required fabric and patterns. In addition to this, a questionnaire regarding the fabric also plays an important role to provide the best possible recommendations. Finally, this application enables us to find the required fabric for the customers and recommend a nearby textile store with the availability.

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 Keywords

CBIR, Flask, OpenCV-python, Feature extraction, Feature matching, colour histograms, KNN algorithm, Chi-square distances, Feature database, Product database

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For better understanding the behavior of concrete using RCA some tests are performed like permeability tests, rapid chloride permeability test, Acid attack test and salt action test for durability testing and for flexural test crack patterns, patterns of load vs deflection and the deflection of Reinforced concrete beams with two point loading system is done. Result show that Recycled coarse aggregate and natural coarse aggregate have similar workability. The flexural strength of RCA is less than the NCA. The permeability and chloride permeability of the RCA is also more than that of the NCA. For high dosage of acid percentage change in weight for RCA was more than that of NCA. Increase in weight for NCA concrete and RCA concrete was approximately same for salt attack test.

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Rc Beam, Flexure, RCA, NCA, Strength etc

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Health food supplements, online, PLS-SEM, use of social media

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Background: Women are diagnosed with breast cancer every year more than 1.3 million. The most common consequences of breast cancer diagnosis and treatment is psychological stress with the symptoms of anxiety and depression. During the early postsurgical period leading to limitation in daily activities it has been reported that pain, fatigue, decreased range of motion (ROM) and decreased muscle strength have developed. Virtual reality (VR) that allows users to immerse themselves in a three-dimensional computer generated word has found a variety of application in health care over the last two decade and in particular has been shown efficacy as distraction to alleviate and pain including chemotherapy during medical procedure. Purpose of Study: The purpose of this study was to find out the effect of Virtual Reality Exercises on Handgrip strength, Pain, Anxiety and Depression in Post-mastectomy Patients. Material And Methodology: Following an explanation of the study to participants, signed agreement was obtained. 60 participants female were included. Pre assessment (Anxiety measured by using IES; Depression measured by using CES-D; Pain measured by using VAS; Hand grip strength measured by using electronic hand dynamometer) were done. Post assessment (after 6 weeks Anxiety measured by using IES; Depression measured by using CES-D; Pain measured by using VAS; Hand grip strength measured by using electronic hand dynamometer) were done.Treatment was given one session daily, 6 days a week for 6 consecutive weeks. Results: The statistical analysis was done using paired t test, which showed significant improvement in post exercise protocol. Conclusion: The result of the study shows that VR exercises has excellent improvement in terms of hand grip strength, pain, anxiety and depression.

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Virtual reality (VR), The impact of events scale (IES), The center for epidemiological studies depression scale (CES-D), Visual analogue scale (VAS), Handgrip strength (HGS), Range of motion (ROM), Electronic Hand Dynamometer (EHD).

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Lagenaria sicerari has been traditionally used in Indian medicine as a result of its curative results of hepatitis, gonorrhea and diabetes, it is probably not proof-founded. However folklore has given us many powerful therapies, based on plant sources. So claims which can be made for the protective efficacy of Lagenaria sicerari (family: Cucurbitaceae) to treat hepatic diseases. The present study focused on investigating the role of alcoholic extract of Lagenaria sicerari. It appreciably prevented the increased in serum Aspartate amino transferase (AST), Alanine amino transferase (ALT), alkaline phosphatase (ALP) and total serum bilirubin (SB) level in acute liver damage by Acetaminophen and elevated the activities of lipid peroxidation (LPO) and glutathione (GSH) in the liver. Histopathological observation of the liver used to be additionally performed to further support the evidence from the biochemical analysis. The observation that these significant protective effect against acute hepatotoxicity induced by acetaminophen of Lagenaria sicerari.

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Hepatoprotective Activity of Lagenaria sicerari Extract against Paracetamol Induced Hepatic Damage in Rats

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Fruit disease detection is vital at early stage since it will affect the agricultural field. In this paper, mainly consider the detection and analysis of fruit infections which is available in the plant areas and storage of data about the agricultural filed and details of farmers in database and recovering the data using Cloud computing. There are more fruit diseases which occur due to the surrounding conditions, mineral levels, insects in the farm area and other factors. The detected data from the plant area is determined by image processing and stored in the database.

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 Keywords

K-Means clustering; Support Vector Machine

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Lung cancer is one of the deadliest types of cancer; thousands of people are infected with this type of cancer, and if it is not detected in the early stages of the disease, then the patient's chance of survival will be very small. For the above reasons and to help overcome this terrible early diagnosis with the help of artificial intelligence procedures are most needed. It is also one of the most common and contributing to death among all cancers. Cases of lung cancer are increasing rapidly. There are about 70,000 cases a year in India. In the past decade, cancer detection using deep learning models has been a hot topic, especially in medical image classification. It is worth noting that CNN models are more advanced in dealing with the diagnosis of diseases such as lung cancer due to the higher performance and capabilities of CNNs. This system presents an approach that uses a convolutional neural network (CNN) to classify tumors located in the lungs as malignant or benign. The accuracy obtained by CNN is 99%, which is more efficient compared to the accuracy achieved by traditional existing systems. This is done by applying a convolutional neural network technique to a dataset of lung cancer CT scans.

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lung, computed tomography, convolutional neural network, detection, classification

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In the present dynamic financial service environment the role of E-banking occupies a significant position .The post banking sector reforms have transformed the entire banking sector. The emergence of technology in the banking services has made anywhere any time banking. The e banking services has enabled customer to have financial services at their fingertips .It is in this context that the present research paper attempts to analyze the role of E banking towards customer satisfaction and the employees perception in Public and Private Sector Banks in India with reference to Prayagraj District of Uttar Pradesh The present study is based on Primary and Secondary sources . The data indicated that the perception of customer regarding service quality and satisfaction of employee in internet banking services. The present study also attempts to make a comparison between Public and Private sectors banks in respect of SBI and HDFC bank. The findings of the study reveal that the sample respondents have more s account with private banks. The problem faced by the respondents were more in public sector banks. The analysis indicated that the sample respondents were of the view that the employees of the sample banks should have a change in the behavior of the staff of the public sector banks The respondents were more satisfied from the private sector banks due to their better services provided by them. The facility that was availed by most of the people at private sector banks was that of Internet/ Phone banking by ATM/Debit card.

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; e-banking, consumer, internet banking, knowledge management

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According to a recent WHO report, about 450 million people are affected by mental, neurological and behavioural problems in their lives and among these 873,000 people die of suicide every year with mental illnesses. People with mental disorders usually suffer from social isolation, poor quality of life and has an increased change for mortality (WHO report, 2005). Mental illnesses have been found to be precipitated with chronic conditions of cancer, cardiovascular diseases, diabetes and AIDS.

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A STUDY TO ASSESS THE EFFECTIVENESS OF VIDEO ASSISTED TEACHING ON KNOWLEDGE REGARDING IDENTIFICATION AND PREVENTION OF SUICIDE AMONG CAREGIVERS OF MENTALLY ILL PATIENT IN SELECTED HOSPITALS AT MEERUT

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Pharmacists for starters want to expand their dispensing services they want to give patients better and more frequent advice on how to use prescribed medications. Patients will benefits for from the development of domicile any services , particular in terms of collecting and delivering prescriptions for the elderly, mentally ill, and physically disabled. Health is a word very known but it carries a lot of complications and troubles. According to the WHO, health is a state of complete physical, mental and social well-being and not merely absence of any illness. Health care system depends upon a health care team. A health care team is the group of community who contribute to a common health goal and common objectives determined by community needs. India with the greatest cultural diversity, health though an important issue is being neglected due to many hindrances. The condition is more worsened due to inappropriate drug use problems. It is in the hands of the pharmacist particularly the community pharmacist, to take up the challenge for providing better health care and better outcomes reasonably.

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 Abstract

Akkamahadevi Mattu Honnammara Druttiyalli Kutumba-Dampathya

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Akkamahadevi Mattu Honnammara Druttiyalli Kutumba-Dampathya

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The use of images to identify people has become commonplace thanks to the media. It is less resistant to retinal scanning or fingerprint detection, though. The face is described in this report and find in the database using a machine learning project carried out for the module on visual perception and autonomy. The basic emotions that all people experience are universal and are consistently expressed on their faces. Here, an algorithm is described that carries out the detection, extraction, and evaluation of various facial expressions enabling, automatic identification of human emotion in pictures and videos. It outlines the technologies offered by the OpenCV library as well as the process for putting them into practise with Python. Haar-Cascades were utilised for face detection, and Eigenfaces, Fisher faces, and local binary pattern histograms were displayed here for face identification.

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 Keywords

Input Face, Face Detection, Face Recognition, classification, Identify the Face.

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 Abstract

Data analysis and exploration are necessary for machine learning in order to identify significant trends and patterns. Everyone on Earth relies on allopathic therapies and medications in the modern era. Medical datasets can benefit from machine learning techniques since they offer a wide range of opportunities for both textual and visual data. Data mining is the key to extracting insight from these voluminous, enigmatic data that are present in medical services. This paper presents an API for prescribing medications to users with a certain ailment, which would also be diagnosed by the framework through the analysis of the user's symptoms using machine learning techniques. Here, we make use of some insightful data pertaining to the mining process to identify the most precise illness that may be associated with symptoms. The condition is easily identifiable by the sufferer. Patients may clearly identify their disease by merely attributing their symptoms, and the program interface indicates what disease the user may be infected with. The framework will show complacency in urgent instances where the patient cannot go to a doctor's office or in circumstances where professionals are available in the area. By considering numerous features in the database, predictive analysis on the illness would be carried out, leading to the recommendation of drugs to the user. The outcomes of the experiment can also be applied to healthcare tools and future research.

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 Keywords

Machine learning, Drug recommendation, knowledge base, Logistic Regressions, symptoms, Support Vector Machine, Disease Predictions.

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