Volume 12 | Issue 5

 Abstract

This study explores e-trikes as pollution-free city transport, assessing their urban commuting performance. Petrol tricycles contribute to air and noise pollution due to the combustion of fossil fuels in their engines, emitting greenhouse gases and pollutants such as carbon dioxide, nitrogen oxides, and particulate matter, which can harm both the environment and human health. Petrol tricycles rely on gasoline as fuel, derived from non-renewable fossil fuels. We designed a tricycle with a 650W motor and 24V battery for eco-friendly short to medium city trips. Switching to electric drive maintains performance and ensures comfortable rides. With around a 16km range per charge, they meet urban mobility needs while championing sustainability. Besides eco-benefits, e-trikes prioritize passenger comfort and safety through smart design and stability. Extensive testing covers energy efficiency, range, and reliability, confirming e-trikes as a viable alternative to gas vehicles. Integrating e-trikes into city transit could dramatically cut pollution and boost air quality, fostering healthier urban environments. This study advocates for e-trikes to lead green mobility efforts and shape future urban transport. Key components include a PMDC motor, Battery, Charge controller, and Throttle.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Electric tricycle, pollution reduction, eco-friendly, reliability, green mobility.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cyberattacks on people, companies, and organizations have grown in frequency. Cybercriminals are constantly searching for efficient ways to infect targets with malware in order to initiate an attack. Millions of people use images every day all throughout the world, and the majority of users think pictures to be secure for usage, however some kinds of pictures have the potential to carry a malware payload and execute detrimental acts. The main reason JPEG is the most widely used image format is because of its lossy compression. It's applied almost everyone, from small businesses to major corporations, and is present on nearly all devices (on digital cameras, cellphones, social networking, websites, etc.). Due of their reputation for being innocuous, enormous JPEG images have a lot of potential for misuse. With the increasing prevalence of digital imagery in our daily lives, the security risks associated with image formats such as JPEG (Joint Photographic Experts Group) have become more pronounced. Malware authors are utilizing the inherent vulnerabilities in image files to conceal and disseminate malicious code, posing significant threats to individuals and organizations alike. This project aims to develop an effective malware detection system specifically tailored for JPEG images. The proposed system employs a multi-layered approach combining traditional signature-based detection methods with advanced machine learning algorithms. By analyzing the structural properties and content of JPEG files, the system can identify anomalies indicative of malicious intent. Furthermore, deep learning techniques will be utilized to train the system on a diverse dataset of both benign and malicious JPEG images, enhancing its ability to accurately detect previously unseen threats. Key components of the system include feature extraction modules, signature databases, and a robust classification engine capable of real-time scanning and detection. Additionally, the project will explore techniques for image steganography detection to uncover hidden payloads within JPEG files. Through the development and implementation of this malware detection system, users can safeguard their digital assets against evolving threats in the form of malicious JPEG images, ensuring the integrity and security of their data in an increasingly interconnected world.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

JPEG, Automatic Interpretation, Image Processing, Artificial Intelligence, Malware Detection, CNN, Deep learning.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Our project involves simple design of motorized handle attachment mechanism for manual wheelchair for better mobility on road. The hand bike consists of electric Hub motor, rechargeable battery, a controller electric throttle, and mechanical brakes. The design is simple, and is affordable for middle class peoples. The mechanism is designed to be safe, light weight and aesthetic look. This electric motorized handle attachment can be easily detachable from wheelchair. This explains how an electric hand bike is made within limited budget for handicapped people

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Chair, BLDC Hub motor, PWM circuit, Mild steel frame, Rechargeable battery.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the digital age, the dynamics of marketing have undergone a revolutionary transformation, with influencer marketing emerging as a pivotal tool for brand promotion. This study delves into the impact of influencer marketing on India's travel and tourism industry, a sector renowned for its rich cultural heritage, diverse landscapes, and vibrant traditions. Influencers, through their authentic and engaging content, act as storytellers and experience curators, inspiring wanderlust and influencing travel decisions among their followers.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTERS IN BUSINESS ADMINISTRATION (MARKETING AND SALES)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Outsourcing image search services to public clouds is an ever-increasing trend. However, directly outsourcing image datasets to untrusted clouds introduces privacy concerns. Several secure image retrieval schemes have been proposed recently. However, most of them require participation from image owners when building secure indexes, which wastes many computational resources of the image owners. Several schemes are proposed to solve this problem, but they suffer from low search accuracy on large datasets. In this paper, we propose the first secure image retrieval scheme that simultaneously solves these two problems. To obtain higher search accuracy, we extract image features via fine-tuned convolutional neural networks. Then, the image features are encrypted by using the secure k-Nearest Neighbor algorithm. To improve search speed and reduce the cost of image owners, we let cloud servers locally build a secure hierarchical index graph by using the encrypted image features.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

encrypted image retrieval, navigable small world graph, secure index.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Education is a systematic and applied discipline that broadens mental horizons and improves academic performance. Study habits, science literacy, and interest in science are crucial for developing knowledge, skills, and positive attitudes towards science and technology. The main aim of this study is to determine the study habits and science interest of secondary level girls of government and private schools. The research was carried out on a sample of 100 secondary level girl students in class X of government and private schools of Lucknow district. Standardized scales of M N Palasane and Anuradha Sharma for study habits and Dr. L N Dubey And Dr. Archna Dubey for science interest were used to collect the data, which in turn was analyzed by applying Mean (M), Standard Deviation (SD) and t-test. Findings revealed that significant difference exists in study habits, areas of study habits and interest in science of secondary level girls of government and private schools. In the study it is also found that study habits and interest in science is better in secondary level girls private school than secondary level girls of government school. Necessary steps and important measures may be taken by teachers to motivate their students in developing positive study habits and attitude towards science. Finally the study proffers some suggestions to enhance the study habits and interest in science of secondary school students.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Study habits, Interest in science, Secondary girl students, Government school, Private school

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present investigation was undertaken with the objective of formulating oral fast dissolving film of the antiemetic drug Domperidone to enhance the convenience and compliance by the elderly and pediatric patients. Domperidone consists antiemetic properties related to its dopamine receptor blocking activity at both the chemoreceptor trigger zone and at the gastric level. Domperidone is a prokinetic & works on the region in the brain that controls vomiting. It is the best option for healing nausea and it is useful for treating vomiting during journeys. Mouth dissolving films were formulated by the solvent casting technique. Films were formulated using Hydroxy Propyl Methylcellulose (HPMC-E5) as a film forming agent, PEG-400 as a plasticizer. The dependent variables were the Percentage Drug Release in 5 minutes and Folding endurance. The thickness, folding endurance, tensile strength, disintegration time, in vitro drug release and drug content uniformity of the prepared films were evaluated. The high percent drug release of the film at pH 6.8 in phosphate buffer suggests its potential application in treating common cold and rhinitis, where there is a requirement of fast drug bioavailability. The overall results suggested that the prepared Domperidone fast dissolving oral films can be used as an attractive and alternative to the commercial available immediate release and conventional tablets resulting improved patient adherence.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Oral Fast Dissolving Film, Domperidone, HPMC-E5, Solvent Casting Method.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Self-Help Group (SHG) Bank Linkage Programme in India stands as one of the most significant initiatives in the realm of microfinance globally. The study examines the growth and evolution of the SHG-Bank Linkage Programme in India from 2012-13 to 2022-23. The study investigates multiple dimensions of the programme, including the number of Self-Help Groups (SHGs) linked with banks, savings amounts held by SHGs, loans disbursed to SHGs, and bank loan outstanding amounts. Utilizing secondary data sourced from the Annual Reports of NABARD on the Status of Microfinance in India, the analysis employs growth rates to assess trends and patterns across these dimensions. Key findings reveal substantial increases in SHGs linked with banks, rising savings amounts, expanded credit access through loans disbursed, and growing loan outstanding amounts despite occasional fluctuations. These findings underscore the programme's role in enhancing financial inclusion, fostering savings habits, and supporting microcredit activities among SHGs, contributing to their economic empowerment and resilience.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SHG-BLP, savings, loans, loans outstanding

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The synthesis of silver nanoparticles (AgNPs) from D. longan Lour. fruit pulp extract was successfully achieved, as confirmed by UV-visible spectroscopy (max absorbance at 289 nm), DLS (size of < 100 nm and about 250 nm), and Zeta potential (highly stable with -11.8 mV) analysis. The ABTS, DPPH, and metal chelating analyses demonstrated that PhS-AgNPs, in their native state, exhibit substantial antioxidant activities. Thus, PhS-AgNPs can be utilized as antioxidants to alleviate oxidative stress. PhS-AgNPs exhibited substantial antibacterial efficacy against bacterial pathogens (superior active against Gram-ve related to Gram+ve bacteria), rendering them very advantageous in the treatment of bacterial-mediated illnesses and valuable in biological domains. The results of the MTT and morphological investigation indicate that PhS-AgNPs exhibit potent anticancer capabilities on human breast cancer cells (MDA-MB-231) and have significant potential as a cancer therapy in the field of biomedicine. However, it is crucial to do a comprehensive analysis of the anticancer mechanism and any safety risks before concluding that PhS-AgNPs can be used as an effective drug for cancer treatment.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dimocarpus longan Lour. fruit, Silver nanoparticles, Antioxidant activity, Antibacterial activity, MTT assay, Anticancer activity.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Electricity capacity growth is not as fast as electricity demand. Energy conservation scenarios need to be prioritized and promoted. Consumers need to be educated about optimal consumption and at the same time made aware of wasteful consumption. This study proposes a configuration of real-time electricity monitoring and providing insights into monthly consumption of households. Apart from the conservation aspect of this study it also aims to gain knowledge about each individual device's consumption and its contribution in the total monthly consumption. Based on the monthly analysis of collected data it will also attempt to detect faults in connected systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Real-Time Data Monitoring, IoT based Application

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In Indian educational settings, academic success is equated with best academic performance. Hence, it's crucial to grasp the influential factors behind it. This research project aims to investigate the impact of perceived stress and academic engagement on academic performance. Utilizing both quantitative and qualitative research methods, data was collected from a diverse sample of students across various educational levels and disciplines. Measures of perceived stress, academic engagement, and academic performance were assessed through validated instruments and self-report measures. The results indicate a significant correlation between perceived stress levels and academic engagement, suggesting that higher levels of perceived stress and academic engagement results in higher academic performance. In conclusion, this study contributes to the existing body of knowledge by elucidating the complex interplay between perceived stress, academic engagement, and academic performance. By understanding these dynamics, stakeholders can develop evidence-based strategies to support students in navigating academic challenges and promoting their overall well-being and achievement.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Perceived stress, Academic engagement, Academic performance.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

fueZyk* miU;kl

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Democracy has become one of the pillars of this 21st century nation state. This democracy has been popularized because it represents all the section of the society. In modern times, representative politics has become one of the trademarks of social development. For the country like India, representative politics play a crucial role as it represents the diversity of the country. The tribal women of Bihar are also trying to get appropriate representative in this representative politics. This article tries to present the brief scenario of the tribal women of Bihar. It also tries to assure that without the political representation of tribal women, the concept of social development can't be fulfilled.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Democracy, political representation, tribal women, social development

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nutritional anaemia is one major health issues among women in Manipur. Poor density and bioavailabity of dietary iron staple foods are the major etiological factors for wide spread prevalence of iron deficiency in India. The prime objective of the study is to understand the Nutritional Anemia among Tribal Women in Manipur. This review paper discusses the prevalence of anaemia among women of pregnant women, non-pregnant, non- lactating women among tribal women in Manipur (15-49years) comparing NFHS-4 and NFHS-5. This paper will explore the current state of anaemia among the top five ST dominant district of Manipur. As tribal community largely depend on a limited number of locally available food items and found missing valuable nutrients which later cause deficiency of iron in the blood which is responsible for the formation of red blood cell to protect from anaemia. Additionally it is difficult to meet ascorbic acid, iron and folic acid requirements unless a good source of these nutrients is added to improve the anaemia status among the tribal community. Some issues like their geographical location, low literacy rate, low socio economic backwardness, high terrain, low status occupation, more children, no family planning and addition to lack of awareness about foods and nutrition can be a major issue in rising the causes of anaemia. Recommended for locally available low-cost seasonal foods preferentially vitamin C, iron, folic acid rich food items etc. are guiding principles for better anemia management. In order to improve nutritional related disease and health issues, studies of different health problems, study on nutritional status, and program based like intervention programme on nutrition should be encourage to bring health solution among the rural tribal community.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Nutritional, Anaemia, Health, Tribal, Women, Manipur, Community

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the present computerized time medical services is one among the significant center region of the clinical space. Individuals attempting to find reasonable wellbeing related data that they are worried about. The Web could be an incredible asset for such an information, but you want to take care to try not to get hurtful data. These days, an epic amount of clinical data scattered absolutely across various sites on the Web keeps clients from finding valuable data for their prosperity improvement. Blunders in drug are one of the first extreme clinical issues that would be a danger to patients' lives. These issues build the necessity to utilize proposal frameworks inside the space of medical care to help clients makes extra efficient and right wellbeing related choices. In this research, we construct a medication proposal framework that utilizes patient surveys to foresee the feeling utilizing different exploitation processes like Count Vectorizer, TF-IDF, BeautifulSoup4, and Manual Component Examination, which can assist with suggesting the top medication for a given infection by various order calculations. The anticipated opinions were assessed by accuracy, review, f1score, exactness, and AUC score. The outcomes show that classifier utilizing TF-IDF exploitation beats any remaining models with 98.3%accuracy.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment Analysis, Patient Reviews, TF-IDF, Passive Aggressive Classifier, Matrix, Machine Learning.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

dept of political science S.K.UNIVERSITY ANANTAPUR PIN 515003

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: contemporary state politics, political landscape, governance and policy-making.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Classifying brain tumours is a crucial and challenging task that is required to identify the most effective treatment plan based on the many types of brain tumours. An individual's health and quality of life can be profoundly impacted by brain tumours. More than 84,000 people had a primary brain tumour diagnosis in 2021, and more than 18,600 of them passed away from malignant brain tumours. It is imperative that these cancers be promptly and precisely identified. A highly preferred diagnostic technique, Magnetic Resonance Imaging (MRI) is characterised by its outstanding picture quality and non-ionizing radiation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Brain Tumor, CNN, Machine Learning, Relu, Python,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Siksha me kala : siksha me kala prasikshan ka mahatva

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Siksha me kala : siksha me kala prasikshan ka mahatva

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid boom of urbanization and transportation demands has considerably elevated complexity of coping with visitors gliding on highways. This mission introduces a progressive real-time machine that inte- grates car counting, classification, vehicle type, and emblem detection with the usage of deep getting-to-know methodologies. The motive of this mission is to decorate highway site visitors' control by imparting compre- hensive insights into vehicle motion patterns. Employing cutting-edge convolutional neural networks which include YOLO(You Only Look Once), the gadget achieves precise and adaptable automobile detection across various environmental situations. In addition to accurate vehicle detection and counting, this mission uniquely extends its competencies to perceive automobile kinds and brands. By leveraging the electricity of deep studying, the machine can distinguish between exceptional car categories or even understand unique brands, contributing to richer visitor insights. The real-time nature of the system guarantees timely records shipping for informed choice-making in visitor management and infrastructure planning. Extensive experimentation with real-international toll road video information validates the system's first-rate accuracy, processing veloc- ity, and effectiveness as compared to traditional techniques. This mission represents a full-size development in highway traffic control, offering a comprehensive, real-time, vision-primarily based answer that encompasses detection, counting, and type of vehicle kinds and brands.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vehicle dataset, Image segmentation, Vehicle detection, Vehicle counting, Highway management

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India's abortion laws have undergone a significant evolution over time, reflecting changing societal norms, medical advancements, and legal considerations. This abstract explores the historical trajectory and current status of abortion laws in India, highlighting key milestones, debates, and challenges. Historically, India's legal stance on abortion has been influenced by various factors, including religious beliefs, socio-cultural norms, and public health concerns. The Medical Termination of Pregnancy (MTP) Act of 1971 marked a watershed moment by legalizing abortion under specific circumstances, such as threats to the mother's life or health, fetal abnormalities, and contraceptive failure. However, the law was criticized for its restrictive nature, limited accessibility, and lack of clarity on gestational limits. In recent years, there has been a growing recognition of the need to reform India's abortion laws to ensure women's reproductive rights and address public health imperatives. The amendment of the MTP Act in 2020 was a significant step towards liberalization, extending the gestational limit for abortion and allowing women greater autonomy in decision-making. The amendment aimed to reduce maternal mortality, combat gender-based discrimination, and promote reproductive justice. Despite these advancements, challenges persist in the implementation and interpretation of abortion laws in India. Access to safe and legal abortion services remains uneven, particularly in rural areas and among marginalized communities. Stigma, misinformation, and socio-economic barriers continue to hinder women's ability to exercise their reproductive rights. Moreover, debates surrounding issues such as sex-selective abortion and conscientious objection by healthcare providers further complicate the landscape of abortion laws in India. Looking ahead, there is a need for concerted efforts to ensure the effective implementation of abortion laws, enhance access to comprehensive reproductive healthcare services, and address underlying socio-cultural barriers. Advocacy, education, and collaboration between stakeholders, including policymakers, healthcare professionals, and civil society organizations, are essential for advancing women's reproductive rights and promoting a more equitable and inclusive society. In conclusion, India's abortion laws have evolved significantly over the years, reflecting changing social realities and evolving medical practices. While progress has been made, continued efforts are required to realize the full potential of reproductive rights and ensure the well-being and autonomy of women across the country.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Abortion, India, Reproductive Rights, Legal Framework, Public Health

  License

Creative Commons Attribution 4.0 and The Open Definition