Volume 11 | Issue 4

 Abstract

Abstract Moringa oleifera is commonly known as drum stick tree (due to slender, long, triangular seed pods) , horse radish tree ( the roots taste similar to that of horse radish) , benoil tree ( as the benzoil is extracted from the tree ). Moringa is a fast growing drought resistant tree. In the present review we find out the character of Moringa oleifera cultivation, collection, medicinal and common uses. Helpful utilization of leaves of M. oleifera has been assessed in diabetes due to its conceivable ability to diminish blood glucose and lipids oxidation after ingestion, as consequence of the polyphenols content and others compounds. By the by most outcomes have been acquire from leaf extricate, hence this study would utilize leaf powder as the normal method of utilization of populace to know impacts over harmfulness glucose, fatty substances, cholesterol, corporal weight, and prevalent gatherings of microbiota.

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 Keywords

Keywords:Moringa oleifera powder, Glucose, Genotoxicity, diabetes, methanolicextract, hyperglycemia; nephrotoxicity; phytochemical; antioxidant; flavonoids; inflammatoryproperties.

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The purpose of this project is to look into the creation of a crochet neck scarf coloured with eucalyptus leaves. This study's objective is to investigate and grasp the aesthetic, useful, and practical characteristics of the scarf as well as the potential use of eucalyptus leaves as a dyeing agent. Also, this project will consider the viability of designing and creating a crochet neck scarf into a consumer good. In order to create a product that is both aesthetically pleasing and functional, as well as to better understand the potential of a natural dyeing approach, this study is essential. The project's materials were initially decided upon. Eucalyptus leaves, thread, and crochet hooks were all within. Next, using boiling water and eucalyptus leaves, the yarn was coloured. To get the best possible colour absorption, the yarn was left in the pot for a very long time. The yarn was coloured and then made ready for crocheting. The yarn was used to make a simple neck scarf style. Blocking, tucking in the ends, and adding a fringe were the final finishing touches for the neck scarf. A highly stylish and eye-catching accessory that is sure to draw attention is the end result of the design and creation of a crochet neck scarf using eucalyptus leaf colouring. The eucalyptus leaves will give the scarf a lovely, earthy tone, making it stand out. The intricate and delicate crochet design ensures that the item will become a classic addition to any wardrobe. The natural colouring process and the crocheted pattern will make this scarf a one-of-a-kind masterpiece.

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 Keywords

Crochet, Neck Scarf, Dyeing, Eucalyptus Leaves, Yarn.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Drawing is fundamental to all other arts. It is how artists structure, plan and negotiate space. Many years back the natural artist used to draw on stone by using charcoal or branches of trees. Cave paintings are used by them to communicate with other about the animals in the forest. From this to now we have many options available for drawing. Drawing can be done by using computer, smartphones even other devices are there for drawing. Now we have many options for drawing. Air canvas is one of the ideas based on drawing in air. It made of system that can catch movements of artists and can draw even without touching keyboard, mouse or touchpad. Air canvas uses python programming language along with useful libraries like OpenCV and MediaPipe which are more helpful in work of identification or recognition

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Opencv, Mediapipe, Air Canvas, Hand Tracking.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cyberbullying is bullying that takes place over digital devices like cell phones,Computers and tablets

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Cyberbullying

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An innovative device that was introduced recently is the smart watch. A smart watch is a wearable device that provides functionality beyond basic time keeping which is similar to a wristwatch. Many sensors, including accelerometers, gyroscopes, and optical heart rate sensors, are frequently included in smart watches, which can wirelessly connect to smartphones. There are several manufacturers producing a selection of smart watch models to fit different uses and pricing points. The study's goal is to examine consumer perspective towards smart watches and their intent to purchase them. A questionnaire was used to collect information for this primary research study from a sample of 100 respondents. The research design used for this study was descriptive research and simple Random sampling method is adopted for the sample collection. The tools used for the study was Chi-square test and Spearman's rank correlation coefficient. The study concludes that customer perspective and purchase intent towards smart watch is highly positive .

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Keywords: Smart watch, perspective, purchase intention.

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It is becoming more difficult to detect vulnerabilities with any degree of dependability as cyber-attacks become more complicated. Security services like data secrecy, integrity, and availability may start to lose credibility if the leaks are not halted. Intrusion detection has become more important and difficult as a result of the Internet and networking technologies. Machine learning and deep learning have been used to develop a number of techniques for detecting intrusions. This study provides a classification of contemporary IDS, a list of noteworthy recent papers, and an examination of the data sets that were employed in the assessment. Additionally, it describes the evasion strategies used by attackers to avoid detection and examines future problems that need to be resolved in order to improve computer network security. There has been a visual analysis of different machine learning techniques.

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IDS, NSL-KDD, HIDS, NIDS, MACHINE LEARNING, DOS.

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 Abstract

In today's world, managing large businesses can be very difficult due to the large amount of information. SAP has become one of the largest Data management tools used to manage data for all kind of businesses. When there is big data for any organization, to manage it through third party databases - Oracle or MYSQL, becomes very difficult. It will decrease the performance of system for fetching data from database. In this research paper, implemented a segmentation approach using HANA database for fast access to get the count of records matching a particular pattern (Computation of Complex Reports). This process will make the system more efficient while processing data and performance of system will be increased. The core idea of SAP HANA database is to integrate business and analytical work in a continuous direction. The main feature of SAP HANA is to use of an in - memory database server, which increases the speed and storage of data. Among other things, it can perform advanced analysis (prediction prediction, spatial data processing, paper analysis, paper search, flow analytics, and graphical data processing, etc.) and includes ETL features with application server.

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 Keywords

Database Management System (DBMS), SAP High Performance Analytics Appliance, HANA Deployment, Segmentation, Structured Query Language (SQL).

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 Abstract

Background of the study: Nursing students had some knowledge about online structured teaching program regarding leukemia. Aim: The aim of the study was to assess the effectiveness of online structured teaching program regarding leukemia. Method: Pre- experimental research design was used. Study was conducted on nursing students of Mohan Dai Oswal College of Nursing, Ludhiana, Punjab. 50 subjects were selected for the study. Result - collected data was analyzed by inferential statistics and presented through tables and figures. Present study findings revealed that mean pre- test score of knowledge regarding leukemia was 12.76 with standard deviation 3.25. The post- test mean score of knowledge regarding leukemia was 16.02 with standard deviation 5.43 and t value 3.64. It reveals that students who had studied by online structured teaching program regarding leukemia had an increase knowledge in their post-test mean as compare to pre- test mean. Conclusion: The study findings implied that the implementation of online structured teaching program has improve the knowledge of student nurses regarding leukemia.

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Leukemia, Knowledge , Structured Teaching Program

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Income inequality is a growing concern in many countries, both developed and developing. This paper examines the relationship between income inequality and economic growth, and explores whether the relationship differs between developed and developing countries. To do so, we analyze data from a sample of 20 countries, ten of which are developed and ten of which are developing, over a period of 20 years (2000-2020). We find that income inequality has a negative effect on economic growth in both developed and developing countries. However, the magnitude of this effect is greater in developing countries than in developed countries. In other words, the negative impact of income inequality on economic growth is more severe in countries with lower levels of economic development. Our analysis also suggests that the relationship between income inequality and economic growth is not linear. Specifically, we find that when income inequality exceeds a certain threshold, the negative impact on economic growth becomes more pronounced. This threshold is lower in developing countries than in developed countries. These findings have important implications for policy makers in both developed and developing countries. In particular, our results suggest that reducing income inequality should be a priority for countries seeking to promote economic growth, particularly in developing countries. Additionally, our findings highlight the need to carefully consider the level of income inequality when designing economic policies, and to take into account the potential nonlinear effects of income inequality on economic growth

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 Keywords

KEYWORDS: INCOME INEQUALITY, ECONOMIC GROWTH, DEVELOPED COUNTRIES, DEVELOPING COUNTRIES, COMPARATIVE ANALYSIS, WORLD BANK

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 Abstract

The objective of this project is to present the effective use of niche technologies in solving most critical problems of Fleet Industry. Monitoring the conditions of the driver plays a vital role in a safe transportation. So, our idea is to manage the vehicle as well as monitor the driver's health condition. Features of our project are Authenticating the driver, Detecting the harmful gases, Purification of air, Monitoring the health conditions like pulse rate and the alcohol level consumed by the driver, providing an emergency trigger which can send trucks location to the management hub. For detection of toxic gases present in the cabin we are using MQ series sensors. So, it is important to create a comfortable and healthy ambience to the driver while travelling across the polluted areas. We are using purification method which is the most efficient. And we are providing a widget in the driver's phone which can be used during emergency. This sends the current location of the driver to the management using IFTTT software without using any external gsm/gps module. Our aim is to make a smart fleet management using IoT and Image Processing by Authenticating the driver, Monitoring the unauthorized entry in the container, continuous monitoring of truck's internal environment and driver health management.

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 Keywords

Fleet Management, trigger, MQ series sensors.

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Nanded is one of the most divergent districts of Maharastra in which many type of crops grown by farmers. Most of the land in Nanded is under crop cultivated area. In this area farmer grown the Cotton, banana, sugarcane, turmeric, soybean, tur, channa, jowar, wheat, papaya, vegetables, pulses etc. Many time this crop are badly affected by the many pathogen and causes of many disease. Fungi is the most important category of plant pathogen and its causes distractive disease of many crops. The aim of research is survey of fungal disease of common crops in Nanded region. There are total 46 different type of fungal disease observed in our research and total 30 crops are covered in this survey. There are 17 fungal pathogen belong to the ascomyctes, than 13 fungi belong to the class deuteromycetes, 9 fungal pathogen belong to the class basidiomycetes and 7 fungi belong to the class oomycetes. In our research survey the fungi belong to the class ascomycetes and class deteromycetes causes more diseases as compare to the fungi of class oomycetes and basidiomycetes.

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Plant pathology, fungal disease, Nanded District,

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 Abstract

Machine Literacy is a branch of artificial intelligence that employs a variety of statistical, probabilistic, and optimization ways that allow computers to "learn" from one exemplification and to descry hard- to- discern patterns from large, noisy, or complex data sets. Machine literacy offers a top approach for developing sophisticated, automatic, and objective algorithms for the analysis of high-dimensional and multimodal biomedical data. Machine literacy plays an important part in medical systems. before identification of conditions, we can be helped to descry them before and more directly, which can save numerous people as well as reduce the pressure on the system. Lung The early identification and vaticination of lung cancer have become a necessity in the exploration, as they can grease the posterior clinical operation of cases. Machine Learning grounded decision support systems donate the croakers. Machine Learning and Deep Learning are used to reuse data as well as produce models for diagnosing cases. Combining the processing of patient information with data from casket X- rays, using CNN with the well- known-trained model, Caps Net network for data this form are the styles used for this design to identify lung conditions originally and dissect the data set, also apply Machine literacy and Deep literacy to prognosticate whether the case has lung complaint or not. The project is a double bracket with input being the case's data (age, gender, casket X-ray images & view position) and the affair is set up what the complaint is or not. The paper aims to describe and diagnose lung cancer as beforehand as possible with help of algorithms like SVM and CNN which will help the croaker.

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SVM algorithm, CNN algorithm, Deep Learning, Machine Learning

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 Abstract

Banks are making major part of profits through loans. Loan approval is a very important process for banking organizations. It is very difficult to predict the possibility of payment of loan by the customers because there is an increasing rate of loan defaults, and the banking authorities are finding it more difficult to correctly access loan requests and tackle the risks of people defaulting on loans.The applications of this project are: There will be a shorter loan sanctioning period. The entire procedure will be automated, preventing human error. A loan will be approved for a qualified applicant right away. Employees of the bank personally verify the applicant's information before awarding loans to those who qualify. It takes a long time to review every applicant's information. We created automatic loan prediction using machine learning approaches to solve the issue. With previously collected data, we will train the machine. So that the machine may examine and comprehend the process. Then the system will look for a qualified applicant and inform us of the results. In this project, two algorithms are used such as Random Forest algorithm, Logistic Regression algorithm to predict the loan approval of customers. These two algorithms are going to be used on the same dataset and going to find the algorithm with maximum accuracy to deploy the model.

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 Keywords

LoanEligibility,Prediction,Logistcregression,Maximum accuracy.

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 Abstract

Soil salinity is a major constraint to agriculture. To improve salinity tolerance of crops, various traits can be incorporated, including ion exclusion, osmotic tolerance and tissue tolerance. We review the roles of a range of genes involved in salt toleran cetraits. Different tissues and cells are adapted for specific and often diverse function, so it is important to express the genes inspecific cell-types and to pyramid a range of traits. Modern biotechnology (marker-assisted selection or genetic engineering) needs to be increasingly used to introduce the correct combination of genes into elite crop cultivars. Importantly, the effects of introduced genes need to be evaluated in the field to determine their effect on salinity tolerance and yield improvement. Soil salinity reduces crop yield. The extent and severity of salt-affected agricultural land is predicted to worsen as a result of inadequate drainage of irrigated land, rising water tables and global warming. The growth and yield of most plant species are adversely affected by soil salinity, but varied adaptations can allow some crop cultivars to continue to grow and produce a harvestable yield under moderate soil salinity. Significant costs are associated with saline soils: the economic costs to the farming community and the energy costs of plant adaptations. We briefly consider mechanisms of adaptation and highlight recent research examples through a lens of their applicability to improving the energy efficiency of crops under saline field conditions.

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 Keywords

Salinity, KSE-100 index, Photosynthesis, Salt tolerance, Reactive oxygen species (ROS), Davidson and MacKinnon, Posterior Odds Ratio

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The fake news on social media and various other media is wide spreading and is a matter of serious concern due to its ability to cause a lot of social and national damage with destructive impacts. A lot of research is already focused on detecting it. This paper makes and analysis of the research related to fake news detection and explores the traditional machine learning models to choose the best, in order to create a model of a product with supervised machine learning algorithm, that can classify fake news as true or false, by using tools like python is scikit-learn, NLP for textual analysis. This process will result in feature extraction and vectorization; we propose using python scikit-learn library to perform tokenization and feature extraction of text data, because this library contains useful tools like Count Vectorizer and Tiff Vectorizer. Then, we will perform feature selection methods, to experiment and choose the best fit features to obtain the highest precision, according to confusion matrix result.

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Fake News, social media, Machine learning, Python, SVM, Naive Bayes, Algorithms, Detection

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Creative Commons Attribution 4.0 and The Open Definition

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This study outlines the identification and categorization of traffic signs using a deep learning system. The Traffic Sign Recognition by 'YOLO v3' method is used to identify and detect traffic signs. For a human to be as safe as possible in a driverless automobile, the architecture needs to be strong and error-free. Thus, it is crucial for any automated system to have the ability to accurately recognise traffic signs. We have presented a reliable method to identify and categorise traffic signs for self driving autonomous cars in order to address this issue. The Canny edge detector is used to construct shape based boundaries around traffic signs and identify the borders of localised traffic laws. The state-of-the-art detection technique employed in this instance is YOLOv3, which is used for real-time object detection. The classifier design is created using Convolutional Neural Networks (CNN) , and 86,989 photos with a size of 32x32 and three colour channels each were used to train the network.

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 Keywords

Convolutional Neural Networks, YOLO v3, traffic signs.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The world of business-to-business (B2B) sales is constantly evolving, with new technologies, techniques, and strategies emerging all the time. As companies seek to stay competitive in an ever-changing market, understanding the most effective approaches to B2B sales is critical to success. This research paper aims to explore the latest trends and best practices in B2B sales, drawing on a range of industry experts and case studies. By examining the most successful sales techniques, we hope to provide valuable insights and actionable recommendations for businesses looking to optimize their sales processes and drive revenue growth. Key topics covered in this paper will include lead generation, account-based marketing, relationship-building, negotiation tactics, and the role of technology in B2B sales. We will also explore the impact of global events such as the COVID-19 pandemic on B2B sales, and the ways in which companies can adapt to changing market conditions. Ultimately, this research paper will offer a comprehensive overview of the current state of B2B sales, and provide practical guidance for businesses seeking to maximize their sales potential.

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B2B sales are a complex and dynamic process that requires careful planning, execution, and management. This research paper explores the strategies and best practices for successful B2B sales, including understanding the customer's needs, building relationships, leveraging technology, and developing a customer-centric approach. The research paper also highlights the challenges faced by B2B sales teams and provides recommendations to overcome them.

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6% to 8% of pregnancies are complicated by hypertensive pregnancy disorders, which also significantly increase mother and foetal morbidity and mortality. Obstetricians continue to struggle with the unresolved and preventable issue of hypertensive disorders during pregnancy. In addition to the usual risks for cardiovascular disease, affected women have an elevated risk of developing the condition later in life. This review focuses on antihypertensive therapy as a specific therapeutic tactic for pregnant women with hypertension problems.

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Morbidity, Mortality, Foetal risk, edoema, Blood pressure

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The Research on design and development of infant carry bed has been carried out by using aloe Vera fabric which is dyed using pomegranate peel. The carry bed for the little one is becoming in more demand as the parents are conscious about their baby's health and safety. Infant carry bed is invented by the Europeans that is been followed for decades which was later mass produced and sold all over world. In Canada, Ashley was the first maker to start producing nests in 2013. She was the one who modified the baby nest with chevron quilted resting space for the baby's safety. The fabric in current carry bed brings lot of skin allergies to baby's skin as fabric used is hard and also most of the fabric are not breathable material. Aloe Vera fabric has an incorporated with aloe Vera gel which is good for skin and also it repels outside moisture and cold as it has large number of pores. This fabric makes the baby feel warm when it is cold outside and cold when its hot outside. The fabric is dyed with Pomegranate peel as it contains lot of flavonoids, antioxidants and phenolic acid which boost the cell regulation. The carry bed was constructed by using wadding material and suitable accessories which is light weighted, comfortable during travelling.

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 Keywords

Sustainable, Aloe Vera fabric, Natural dye, Pomegranate peel dye, Baby carry bed

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Modern fingerprint techniques offer several advantages in crime investigation, including high accuracy, speed, efficiency, and the ability to analyze complex patterns and images. This article explores the science of fingerprints and their role in crime scene investigation. It aims to improve the reliability and effectiveness of automatic fingerprint identification by developing innovative pattern recognition methods. The study provides a detailed analysis of crime scene investigation, with a special focus on the significance of fingerprints, and offers direction for future investigations. The development of fingerprint science is also discussed, including its historical background and contemporary techniques. The study highlights the growing importance of DNA technology in criminal investigations and discusses the challenges facing the scientific and justice communities in maintaining the highest standards for DNA evidence collection, testing, and analysis. The research relied on primary sources, such as the U.S. Department of Justice, Interpol, and the Innocent Project, as well as secondary sources, including research reports, textbooks, and journals. The study also includes hands-on experience working with investigation officers at actual and artificial crime scenes. The findings offer insights into the significance of DNA evidence and raise important issues for legal and law enforcement communities.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fingerprints, Role of fingerprint in crime scene

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Creative Commons Attribution 4.0 and The Open Definition