Volume 11 | Issue 4

 Abstract

The present study focuses on the investigation of school climate among government and private secondary schools within Lawngtlai town, School climate is the heart and soul of every institution and hence play a crucial role in providing a safe and secure environment for the learner. For the current study, a sample of 200 students i.e., 100 each from private and government secondary school is taken using random sampling method and School Climate Scale developed by Dr. Shivendra Pratap Singh is utilized to determine the perception of school climate among the learner. The result shows that school climate perception among private higher secondary school is much higher than that of government secondary schools in Lawngtlai town.

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 Keywords

School climate, perception, government, private, Lawngtlai town

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 Abstract

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Electric two-wheelers, Consumer awareness, Environment, global warming, Government policies

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Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Customer segmentation is the process of dividing customers into groups based on common characteristics so companies can market to each group effectively and appropriately. In business-to-business marketing, a company might segment customers according to a wide range of factors. Creating a software application for customer segmentation for segmenting new customers into the right group for an automobile company, so the company can adopt the specific proven marketing strategy to each of them and be more successful in the business using classification algorithm.

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Customer segmentation, Prediction, classification models.

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There is an increased prevalence of overweight and obese undergraduate students which may be due to unhealthy dietary practices, decreased physical activity and sedentary lifestyle. This may further lead to decrease in their functional capacity and affect their overall health. This study was undertaken to identify physiotherapy students having reduced functional capacity and oxygen saturation. Six Minute Walk Test which included the measurements of Peak Expiratory Flow Rate, Oxygen Saturation and Rate of Perceived Exertion was done on a one to one basis. Body Mass Index, Waist Hip Ratio and Six Minute Walk Test of total 211 male and female physiotherapy students were assessed. Data was analyzed using descriptive analysis. Reduced Functional Capacity in students was identified and hence they were encouraged to adopt lifestyle modification with adequate physical activity on a regular basis.

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Body Mass Index, Waist Hip Ratio, Functional Capacity, Oxygen Saturation

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Brick are widely used construction and building material around the world. In this study, bricks are prepared from natural waste material which comprises of granite powder and rice husk ash. The main objective of this study is to reduce the quantity of clay with natural waste material. On the other side, proper and efficient disposal of natural waste is being the key factor in solid waste management in most of the Indian states . so we are efficient replacing the significant quantity of granite powder and rice husk ash in making lightweight bricks in appropriate proportions which gave compressive strength as similar as conventional brick. The average water absorption ratio and compressive strength obtain in this study are 15% and 3MPa respectively.

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Porotherm bricks

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Our country's main business is agriculture. The majority of people reside in rural regions and rely solely on agricultural products for their livelihood. The quality and yield of agricultural goods will decline in any plant that has the disease. Research and illness detection are therefore crucial. For disease to be successfully controlled and inhibited for practical cultivation and food preservation, genuine crop disease exposure and identification are essential. For farmers to succeed, early illness detection and diagnosis are essential.

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Machine Learning, Plant Disease, Image Processing

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In the days of the Internet, millions of users are using billions of websites in every fraction of seconds. The performance of each and every website depends upon some crucial factors. These factors are called web-metrics. It is crucial to evaluate them for better performance, security etc. These web-metrics consist of web-page load time, number of redirections, total number of pages, First Contentful Paint(FCP), Largest Contentful paint(LCP), Speed Index, DOM size, QLS etc. By evaluating these features we can understand how a website will perform during user usage. Also by evaluating them we can make necessary changes to improve the performance of the website. A huge amount of study is already going on by various researchers. In our paper we made a comparative study by using machine learning models like linear regression, SVM, Random Forest. Also we proposed a model by imposing an ensemble learning method with ML models which can predict the website's load time. Our model can also be able to give information about other web-metrics by evaluating this predicted web-page load time and the corresponding website URL. Our proposed model is directly trained by extracting web-metrics from the input URL. This hybrid model can be used by developers, Administrators to optimize and improve the performance of the corresponding website. Our proposed model is achieving a highly accurate(98%) predicted load time for websites and can successfully predict the other parameters of web-metrics. Also the proposed model is highly flexible to add or remove other web-metrics.

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Internet, web-metrics, FCP, LCP, speed index, DOM size, OLS, machine learning, linear regression, SVM, random forest, ensemble learning, URL.

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Abstract:This study has been undertaken to evaluate the Effectiveness of Reminiscence Therapy in terms of psychological well-being among senior citizens at residents of selected community at Meerut. The independent variable was Reminiscence therapy and the dependent variable was level of psychological well-being among senior citizens. 40 senior citizens, 20 in experimental group and 20 in control group selected in this study by Non - probability purposive sampling technique. The mean post-test score was 161.05 experimental group and 94.35 in control group. The calculated unpaired "t- test" score was 8.1788 for df 38 at 0.05 level of significance which was higher than the table value.

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Keywords: Effectiveness, Reminiscence therapy, senior citizens, psychological well-being, community, resident.

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The use of robotics technology in counter-terrorism and military operations has become increasingly prominent in recent years. With the development of vehicle automation, sophisticated machines such as unmanned ground vehicles have emerged as efficient and effective tools to aid soldiers in the battlefield. This project proposes the design and implementation of a Combat Soldier Assistance Rover for missions such as border patrol, surveillance, and active combat. Equipped with an automatic weapon, landmine detector, and robotic arm, the rover can inspect suspicious objects and detect and track human movement using computer vision. The remote operator can control the rover wirelessly and receive live video feeds from the camera to assist in the mission. This system aims to reduce military casualties and increase operational efficiency with less human resources required.

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Terrorism, Insurgency, Vehicle automation, Unmanned ground vehicles, Combat Soldier Assistance Rover, Border patrol, Surveillance, Active combat, Automatic weapon, Landmine detector, Robotic arm, Computer vision, Remote operator, Live video feed, Military casualties, Operational efficiency, Human resources

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Yoga and exercise are can become our daily habit which is very beneficial for all the age types throughout the world. Many of the people cannot afford a personal coach or a guide to teach them. Yoga is such a thing that a person has to do it correctly if they don't that can lead to directly on our health. Yoga maintains the health system, on our flexibility and helps in many more good aspects in our lives. It is a fact that yoga and exercise can lead to a happy and healthy life. Our algorithm is going to suggest proper and correct poses to the user through which they can get the best results staying at home only. The most important of yoga poses is known around the world and proves the health benefits preached by ancient sages. As yoga becomes more important, yoga faces the following important challenges: Computer vision technology provides a promising solution for assessing human posture. However, these techniques are rarely used in the areas of health and exercise, and there are no specific references or projects. Named after yoga.

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AI, Machine learning, CNN

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Jyotsnika is a renowned monograph on visha Chikitsa (Management of Poisoning) authored by Sri. Narayananan. It is composed of 21 chapters with 1139 slokas (Verses) which deals elaborate insight to different aspects of Visha (Toxin) as well as its management. Even though written in Malayalam, the regional language of the state of Kerala, the monograph also uses Sanskrit vocabulary in many instances and only Sanskrit verses in certain occasions. With roots in Ayurvedic samhitas, this treatise also derives its knowledge from traditional Dravidian system of toxicology and couples both in such a beautiful manner there by becoming a unique creation on its own. The practical approach of the treatment coupled with the mantra Chikitsa (Treatment through invocations), makes this book a treasure trove for physicians as well as scholars in understanding the lineage of the traditional visha Chikitsa sampradaya in Kerala as well as improving the arsenal of medicaments for such cases. The Chapters or Adhikaras, cover almost all the practically encountered cases from identifying as well as treating the same. Hence, this is an attempt to inquire, scrutinize and acquaintance the pride of Keraleeya Visha Chikitsa to the Ayurvedic community and to the whole world.

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Jyotsnika, Visha Chikitsa, Agadatantra

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Concrete is one of the most vital materials in construction industry. As the demand of concrete increases the Portland cement usage also increases due to the excess usage of cement, pollution also increases. To reduce the use of Portland cement in the concrete and utilization of industrial waste in the field of civil engineering. By introducing a new building material which significantly reduces the usage of Portland cement. On other hand the thermal power plants are consuming millions of tons of coal, in the process of power generation and as a result of that large quantities of fly ash is being produced which is a major problem. To overcome these two major problems i.e., to reducing the usage of OPC and proper utilization of fly ash, the concept proposed by Davidovits, is adopted to study new material called Geopolymer concrete

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concrete, GGBS, Fly ash, Silica fumes and Geopolymers

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Abstract: Diabetic Retinopathy (DR) is a serious eye condition that is caused by a common complication of diabetes mellitus and one of the leading causes of blindness worldwide. Common risk factors include the duration of diabetes, poor glycemic control, high blood pressure, smoking, high cholesterol and kidney disease. Early detection is important as it reduces the risk of vision loss, improved quality of life and cost savings. The treatments available for DR are medical, surgical, or laser procedures depending on the severity of the case. Improving awareness of the disease, expanding access to care, and reducing cost barriers can help to increase early detection rates and improve outcomes for patients with DR.

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: Diabetic Retinopathy, Diabetes, blood pressure

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The project's primary objective is to find coconut palm disease and coconut maturity, with the objective of improving the quality of the product yield. It is difficult for a farmer to manually monitor coconut palm disease and maturity, which can take an extended period of time. Coconut palm diseases include seeding disease, white fungal disease, and spotting disease. The proposed system aids in the identification of coconut palm disease and coconut maturity, as well as to provide remedies for the disease and determining coconut maturity, which is the project's primary objective. Currently, solutions are found through image-processing techniques involving the identification of coconut maturity stages. As a matter of fact, an improved convolutional neural network model for order to detect two important coconut maturity stages, mature and immature, is proposed. Because of the complexity of the environment and the similarity between coconuts and their backgrounds, ability to detect the maturation stages of coconuts for harvesting without human intervention presents a challenge. To solve the problem, CNN model with Densenet architecture was employed for Coconut palm disease prediction and Resnet architecture was put to use for coconut maturity analysis. The final output will be easily obtained by using these architectures.

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 Keywords

CNN, DenseNet architecture, ResNet architecture, coconut palm disease, palm maturity.

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The aim of the study is to examine the impact on electronic purchase decision. The purpose of the study was to find out that the consumers are aware of digital marketing and the digital channels influence in their purchase decision. The results revealed that customers are aware of digital marketing and they prefer to by electronic and shopping goods through digital channels in their purchase decision process. The study is performed in a particular geographical area and it may be considered as a drawback to judge the purchase decisions of all customers of different level of areas such as taluks or regions. As the countries are moving towards digital era, the digital channels play an important role in increase of sales of any firm's products or services. Hence, the present study made an attempt to reveal the impact of electronic marketing on customer purchase decision. Digital marketing can be defined as the process of promoting of brands using digital distribution channels comprising internet, mobile and other interactive channels. The merit in this form of advertising lies in its model is low cost. The goal of research is to examine the implication of digital marketing in consumer purchase decision and to search whether the consumers are aware of digital marketing and the impact of online purchase. The study is carried out through survey from various types of respondents. The results of a research study analyzed using by chi square test. The study revealed that customers are aware of digital marketing and they prefer to by shopping goods through digital marketing shopping channels. This report will help to get an idea about internet shopping and how the digital marketing has impact on revenue generation for online retailers or online marketing enterprises.

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Digital Marketing, Consumer purchase decision, Influencing factor

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Nematode is painstaking as solemn pest of paddy, may beginning up to 90% yield losses in severe cases. The nematode-mycorrhiza association at rhizospheric zone of paddy is experimental. The present study will help to detect the plant parasitic nematodes- mycorrhiza presence of rice and status of soil ecosystem at rhizospheric zone of paddy. The control measures against the PPNs and use of mycorrhiza will be helpful to enhance the rice production of the whole world. It will ultimately be helpful to establish sustainable development procedures.

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Keywords: Nematode-mycorrhiza association, Paddy, PPN, Sustainable development

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Mobile payment applications have become more common in the modern day as a result of rising smart phone usage and expanding internet access. Several applications like Paytm, PhonePe, Google Pay etc have re-defined banking system giving services like payment of power bill, water bill, mobile recharge, online shopping etc. With all these features supplied by mobile banking application the focus of this research is the perception of customer regarding these mobile payment apps. The results shed light on the advantages and drawbacks of mobile payment apps and emphasise the significance of security and user experience in fostering customer happiness. The findings of the study can guide the creation of mobile payment applications that more effectively satisfy customer demands and expectations.

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 Keywords

Users perception, customer satisfaction, mobile payment apps.

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This proposed system is about automated techniques and methods to detect fracture. X-ray images are studied manually, but it is time-consuming and flat to errors. As X-ray images are more susceptible to noise, we used many preprocessing steps to remove noise and blur from the image. Thus, the system is able to spot fractures more accurately. The system detects fractures based on the type of fracture. The image is cleaned of noise and transformed into a clearer image so that the system can easily detect fracture. We used image processing methodologies to track bones. All unwanted objects, as well as smaller objects, are removed by the system. Finally, based on the connected component, the system detects a fracture. The system displays a bounding box around the fracture. Based on types of fracture images, preprocessing steps, and what a fracture detection system involves. The proposed system is able to detect bone dislocation with an 80% success rate, major bone fractures with 60-70% accuracy, and minor fractures with 50-60% accuracy.

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 Keywords

Detect Fracture, Image processing, X-Ray image.

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 Abstract

Breast cancer is one of the leading causes of death in women. Many studies on the diagnosis and detection of breast cancer have been conducted using various image processing and classification techniques. Despite this, the disease remains one of the deadliest. Having given birth to one out of every six women in her lifetime. Early detection of breast cancer tumours is the only way to cure it. The most efficient and simple way to diagnose breast cancer is to use CAD (Computer Aided Diagnosis) on mammographic images. Accurate discovery can significantly reduce the mortality rate caused by mamma cancer. Clusters of masses and microcalcifications are important early symptoms of breast cancer. They can aid in the early detection of breast cancer. This paper quantifies the image analysis methods used for tumour detection. These tumours are extracted from the mammogram ROI using FCM to classify the microcalcifications as harmless, ordinary, or dangerous. These images are compared further and run through CNN to gain a better understanding of the cancer pattern in the mammography image.

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Breast cancer, CAD, CNN, FCM, Mammographic image

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ABSTRACT Meditation helps an individual overcome these emotions to facilitate a calm peaceful mind and healthy and stress free body. Meditation promotes relaxation, develops self-concept, self-confidence, positive attitude and socialability and reduces stress as well as anxiety and depression. Purpose: The purpose of the present study intended to find out of Role of meditation on Stress Management of College girls. Methodology: Total sixty college girls (N=60) of Khejuri College, District Purba Medinipur, West Bengal were selected at randomly among five hundred (500) girls students as subjects for the present study. The age limit of the subjects was 18-21 years. All the subjects were divided into two equal groups such as Gr. WE and Gr. WC. Group WE was experimental group and Gr. WC served as control group. Stress Questionnaire designed by The International Stress Management Association (ISMAUK) and it was employed to all the subjects of Gr.WE and Gr. WC and thereafter specific meditation as a treatment was given to Gr. WE for three days in a week and continued three months and finally the subjects were retested on criterion measures. The data were analysed by paired t-test to find out the effects of the treatment. Results: The results of the present study showed that the stress was reduced but not shown significantly at .05 level of confidence among meditation practitioners group (Gr. WE) after three month treatment. Conclusion: Stress level of meditation practitioners group such as Gr. WE was reduced after three months treatment.

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Keyward: Meditation, Yoga, Stress

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