Volume 12 | Issue 4

 Abstract

Cardiotoxicity, the adverse effects of certain cancer drugs on the heart, is a significant concern in oncology.As advancements in cancer treatment continue to evolve, the focus on managing and mitigating adverse effects becomes increasingly imperative. One such area of concern is the potential cardiotoxicity associated with various cancer drugs. This review delves into the intricate relationship between cancer therapeutics and their impact on the heart, elucidating the mechanisms, risk factors, and clinical implications of cardiotoxicity. By comprehensively exploring current research and clinical insights, this article aims to enhance awareness among healthcare professionals, ultimately facilitating proactive strategies for monitoring and managing cardiotoxic side effects in cancer patients.

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 Keywords

doxorubicin,tyrosine kinase inhibitors (TKIs),Cardiotoxicity,Chemotherapy,Anthracyclines,Cardio-oncology

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In today's medical landscape, tumors are second ranked leading to cause of cancer and posing significant threat to patients' well-being. Detecting tumors, particularly brain tumors, swiftly and accurately is paramount in providing timely treatment and averting potential dangers. Traditional methods of manually analyzing MRI images for tumor detection are not only time-consuming but also prone to inaccuracies. To address these challenges, there's pressing need for automated, fast, and reliable techniques for medical field. Leveraging advanced image processing technologies, such as Convolutional Neural Networks and Transfer learning models like VGG 16, offers a promising solution. These sophisticated algorithms can analyze MRI images with precision, enhancing the efficiency of tumor detection processes. Brain tumors, characterized by uncontrolled cell growth, can jeopardize healthy tissues by depriving them of essential nutrients, leading to organ failure. Early detection of such tumors is critical for improving treatment outcomes and boosting patient survival rates. By implementing automated image segmentation techniques, we can streamline the identification and classification of brain tumors, significantly reducing the burden of manual analysis. These advancements enable healthcare professionals to promptly assess MRI scans, swiftly determining the presence or absence of tumors. This proactive approach not only accelerates diagnosis but also enhances treatment planning, ultimately saving lives. In summary, integrating cutting-edge technologies like CNNs and Transfer Learning into medical imaging processes revolutionizes tumor detection, facilitating quicker and more accurate diagnoses.

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Brain Tumor, Convolutional Neural Networks, Transfer Learning models, medical imaging processes

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Panchakarma is a set of five therapeutic treatments administered in the traditional indian medicine system of ayurveda. These treatments are designed to cleanse the body of toxins, allowing a balance of the three doshas: vata, pitta, and kapha. One uncommon fact about panchakarma is its connection to the seasons and specific environmental conditions. In ayurveda, different seasonal panchakarma treatments are considered most effective during certain times of the year. For example, virechana (purgation) is often recommended during the autumn season when the pitta dosha is believed to be more prominent. So this article is focusing on panchakarma procedure according to season.

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Season, Panchakarma.

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Controlled and targeted delivery of active pharmaceutical ingredients (APIs) has emerged as a promising therapeutic strategy. However, challenges such as low water solubility of most APIs and the need for efficient drug delivery systems persist. Traditional organic solvents used in drug formulation pose health and environmental concerns. Ionic liquids (ILs) have garnered attention as potential alternatives due to their unique properties. This review paper explores the diverse applications of ILs in drug delivery, ranging from solubilizing APIs and enhancing their bioavailability to serving as novel components in biopolymer-based delivery systems.We discuss the potential of ILs as solvents and co-solvents for low water-soluble APIs, showcasing significant improvements in solubility and stability. Furthermore, ILs enable the conversion of solid APIs into liquid forms (API-ILs), addressing challenges related to polymorphism and bioavailability. Their role as effective permeation enhancers and microemulsion components for drug delivery is also highlighted, along with their ability to dissolve biopolymers like cellulose and chitosan. ILs open avenues for customized drug delivery systems, allowing for controlled release profiles and responsive behaviors based on environmental stimuli.Through an in-depth analysis of recent research and advancements, this paper underscores the vast potential of ILs in revolutionizing drug delivery systems, offering safer, more efficient, and sustainable alternatives to traditional approaches.

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Controlled drug delivery, Ionic liquids (ILs), Liquid forms of APIs (API-ILs), Active pharmaceutical ingredients (APIs), Biopolymers

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Mosquito-borne diseases continue to pose a significant global health threat, necessitating effective and sustainable methods for vector control. In recent years, there has been a growing interest in herbal mosquito repellents as an alternative to conventional chemical-based products. This review aims to provide a comprehensive assessment of the efficacy, safety, and potential applications of herbal mosquito repellents. Various herbal extracts and essential oils with documented mosquito-repelling properties are discussed, along with the bioactive compounds responsible for their effectiveness. Emphasis is placed on the ecological sustainability of herbal repellents, as well as their potential role in integrated vector management strategies. The review critically analyzes the existing evidence on the duration of protection, repellent efficacy against different mosquito species, and potential adverse effects on human health. Moreover, considerations are given to the environmental impact, feasibility of production, and cultural acceptance of herbal repellents in diverse settings. this review provides valuable insights into the current state of knowledge regarding herbal mosquito repellents. It contributes to the ongoing discourse on sustainable and eco-friendly vector control strategies, fostering informed decision-making among policymakers, public health practitioners, and the general public.

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Efficacy, herbal mosquito repellents, sustainability, vector control

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ABSTRACT This studies paper describes a framework for studies in virtual advertising that highlights the techniques in the advertising and marketing manner in addition to the effectiveness of the advertising system and impact of different technological equipment and social media structures. Using the framework, we've got organized the studies techniques about the elements and evaluate the research literature in the widely defined virtual advertising and marketing space. The reason of the studies paper is to observe the effectiveness of virtual media marketing strategies and different social media options used for advertising. This paper specifically studies significance of digital advertising and variations among digital advertising and offline advertising and the effectiveness of technological equipment and social media structures on fulfilment of virtual marketing strategies .This research paper has been edited to help small business to integrate virtual advertising of their commercial enterprise fashions and to understand the usefulness of social media advertising over conventional advertising strategies.

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Keywords: Digital Marketing, Trends, Advantages.

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An information disclosure and spread convention for remote sensor organizations (WSNs) is liable for refreshing setup boundaries of, and disseminating the board orders to, the sensor hubs. All current information revelation and scattering conventions experience the ill effects of two disadvantages. To start with, they depend on the concentrated methodology; just the base station can appropriate information things. Such a methodology isn't reasonable for developing multi-proprietor multi-client WSNs. Second, those conventions were not planned in light of safety and consequently foes can without much of a stretch sendoff assaults to hurt the organization. This paper proposes the primary secure and dispersed information revelation and spread convention named DiDrip. It permits the organization proprietors to approve numerous organization clients with various honors to all the while and straightforwardly spread information things to the sensor hubs. Besides, as shown by our hypothetical investigation, it tends to various conceivable security weaknesses that we have recognized. Broad security investigation show DiDrip is provably secure. We likewise execute DiDrip in an exploratory organization of asset restricted sensor hubs to show its high productivity practically speaking.

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Authentication, Internet of Things (IOT), Sensor

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Present inhalers are vaporizers producing only local effect therefore there is a need of special aroma-inhalers which may promote better body mind and spiritual health. Aroma inhalers uses aromatic essential oil which improves mental and emotional wellbeing. This concept utilize principle of aroma therapy which is based on total wellbeing for taking care of related problem. Now-a-days there are lot off infectious out brakes therefore there is a need to strengthen our immune power and take care of different infectious out brake. Medicated aroma-inhaler may help in this regards and also take care of infection. To enhance health and wellbeing, aromatherapy uses natural organic extracts from natural sources. In this formulation we utilizes different types of ingredients like Pudina crystals, Camphor, Methyl salicylate, Eucalyptus oil, Tulsi oil, Garlic oil, Clove oil and Rose oil to create a beneficial synergistic mixture.

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Aromatherapy, essential oils, health, stress relief, Mood disorder

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In today's corporate life, there's stress and other life problems which are causing physical and mental health issues for the employees as well as the society as a whole. It is becoming necessary to protect the society from the negative effects of growing industrialization as well as corporate stress. There is cut throat competition everywhere which is making life difficult for employees and those who are living in the society. All this has supplemented the problems and also with the invention of AI, these obstacles are increasing due to its misuse and replacement of employees by AI tools. Now we need to find the ways to counter these problems which can only be possible through corporate spiritualism and sustainable development. To implement these changes, we need to go to our ancient ages which provide us guidance on how to manage all these changes in a proper and positive ways. Thus, we need to explore our Vedas and Puranas which serve us as a beacon light for the upcoming future generations and can be a leading light in the upcoming generations which will face more challenges than the present ones. This paper will provide a overview of these challenges and the ways that our Vedas and Puranas suggest to overcome it.

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corporate spiritualism

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Pioneering breakthroughs in robotics, we introduce an advanced all-terrain automaton. This sophisticated machine is equipped with cutting-edge track-based locomotion, enabling it to navigate diverse landscapes, including steep inclines of up to 40 degrees. With ultrasonic sensors for autonomous navigation and adept obstacle avoidance, it also carries essential survival gear for emergencies. In agricultural settings, the automaton serves as a diligent assistant, managing irrigation schedules, detecting wildlife, and identifying intruders using motion-capture webcams. In industrial environments, it enhances safety by monitoring conditions with visual sensors and issuing alerts via gas detectors during emergencies. Moreover, it seamlessly integrates with ChatGPT for smooth communication, employing auditory sensors for input and speakers for informative alerts and entertainment. Proficient in facial recognition, object identification, hand movement detection, body posture analysis, and weather forecasting, it can be controlled through a custom mobile interface equipped with a control panel. This automaton represents a significant leap forward in robotics, with wide-ranging applications across various sectors.

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Track based locomotion, safety, monitoring, sensors

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Diabetes mellitus, a global health concern, not only affects glucose metabolism but also poses significant risks to cardiovascular health. This review comprehensively examines the intricate relationship between diabetes and cardiac complications, elucidating the underlying mechanisms, exploring the diverse spectrum of adverse effects on the heart, and discussing strategies for prevention and management. Understanding these complexities is crucial for clinicians and researchers alike in the pursuit of mitigating the burden of diabetes-related heart disease. Furthermore, this review examines the multifaceted nature of diabetes-related cardiac complications, considering not only the traditional risk factors but also emerging factors such as inflammation, oxidative stress, and endothelial dysfunction. By elucidating these complex mechanisms, it provides insights into potential therapeutic targets for mitigating cardiovascular risks in individuals with diabetes.

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Diabetes mellitus, cardiovascular complications, heart disease, pathophysiology, management

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Our project aims to implement object detection using the YOLO (You Only Look Once) algorithm, facilitating real-time detection of specified objects from both camera feeds and images. Object detection is a crucial task in computer vision with numerous applications ranging from surveillance to autonomous vehicles. YOLO is known for its efficiency in processing speed while maintaining high accuracy. The project involves training the YOLO model on a dataset containing annotated images of target objects. These objects may include commonly encountered items like cars, persons, and more, depending on the project's scope. Once trained, the model can identify and localize these objects within an image and camara. The implementation includes a user-friendly interface that allows users to input live camera feeds or static images for object detection. The system provides realtime feedback on detected objects, including their class labels and bounding box coordinates. Additionally, the accuracy of detection is displayed, giving users confidence in the reliability of the results. Overall, this project demonstrates the practical application of machine learning techniques, specifically the YOLO algorithm, in real-world scenarios where fast and accurate object detection is essential. The system's ability to operate in real-time makes it suitable for various applications, including surveillance, traffic monitoring, and object tracking.

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Object Detection, Machine Learning, YOLO Algorithm etc.

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This study investigates the effectiveness of e-commerce in lowering operating expenses for firms, as well as its effects on customer happiness. The study investigates the impact of e-commerce in cost reduction across diverse industries and analyzes its effectiveness in improving operational efficiency using a comprehensive literature review and empirical analysis. The research uses both primary and secondary data collection approaches, such as surveys and literature reviews. The findings show that e-commerce adoption reduces operating costs and provides considerable benefits to firms, such as higher productivity, decreased transactional charges, and increased customer satisfaction. However, obstacles such as data quality issues, methodological limits, and changing technical trends have been noted as potential barriers to attaining e-commerce's full cost reduction potential.

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E-commerce, efficiency, cost reduction.

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A study was conducted to investigate the prevalence of diabetes among individuals in countries such as India and abroad. The research focused on examining the traditional approach to measuring blood sugar levels. In order to address the challenges and complexities associated with this process, a novel non-invasive method for blood sugar measurement is suggested in this research paper. However, the development of reliable non-invasive blood sugar measurement devices faces significant challenges. Interference from other substances in the body, variability in skin properties, and the need for calibration against traditional blood tests are key hurdles that must be overcome. Additionally, the accuracy and reliability of non-invasive methods must be rigorously validated against invasive techniques to ensure clinical utility and regulatory approval. This review provides an overview of current non-invasive and invasive methods of blood sugar measurement, highlighting their respective advantages, limitations, and future prospects. While non-invasive techniques hold great promise for improving patient care and quality of life.

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Non-invasive, Invasive, Diabetes, Sensors

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This paper presents a Python-based solution for detecting illegal phishing attempts through email and URL analysis. The system employs two primary detection mechanisms: email content analysis and URL scanning. Leveraging machine learning algorithms and natural language processing techniques, the email analysis module identifies suspicious patterns, malicious links, and deceptive content within incoming messages. Concurrently, the URL detection component scrutinizes web addresses for signs of phishing activity, such as deceptive domain names and suspicious redirections. The integration of these two detection methods offers a comprehensive approach to identifying and mitigating phishing threats. Keywords: Phishing Detection, Python, Email Analysis, URL Scanning, Machine Learning, Natural Language Processing.

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machine learning, data mining, phishing URL, classification, binary classification problem, phishing detection.

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The purpose of this paper is to create and assess a herbal face pack that works for glowing skin using natural components in different amounts like multanimitti, turmeric, aloe-vera, sandal wood, orange peel, rose petals, and saffron etc. Because of their extremely low adverse effects, ayurvedic formulations are safer than synthetic ones. A few important parameters, including organoleptic, phytochemical, physicochemical, and physical characteristics, are used to evaluate this manufactured product. Herbal face packs are primarily used to reduce dark circles, acne, and scars by promoting and maintaining blood circulation, revitalizing the skin, and clearing debris from pores.

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Herbal face pack, glowing skin, Natural ingredients, ayurvedic formulation

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In pharmaceutical formulation two main ingredients are required which is API and excipient. And excipient contains many components which plays vital role in manufacturing of dosage form as well as improve pharmaceutical parameters of the dosage form. Polymers used in any dosage form as excipient. Polymers have influencing capacity towards drug release and should be compatible, stable, non-toxic and economic etc. Generally, polymers are classified into three categories i.e natural, semi-synthetic and synthetic polymers. Nowadays, many pharmaceutical companies inclined towards using natural polymers due to many problems created with drug release and side effects. Polymers plays various application in formulation as excipient like to provide uniform drug delivery, rate controlling agent, taste masking agent, protective and stabilizing agents, etc. So that this review discuss about various natural polymers, there advantages over synthetic polymers and role of polymers in designing drug delivery system.

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Polymer; Sustained Release; Dosage Forms; Plastic and Elastomers.

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Abstract: Any non-toxic dietary ingredient with scientifically demonstrated health advantages, such as illness prevention and treatment, is referred to as a nutraceutical. To conquer issues pertaining to women, such as PCOS, and men, such as health issues relating to the prostate, etc. A nutriseed bar contains seeds such as fenugreek, sunflower, flax seed, and others. It is made using the seed cycling phenomenon and is said to be beneficial for menstrual issues. Our goal is to concentrate on both male and female reproductive health maintenance and diseases. Infertility, PCOS, and PMS symptoms in women. Infertility, testosterone levels, male erectile dysfunction, and prostate health.

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Keyword: Neutraceuticals, Neutriseed, Seed Cycling, Seeds, Menstrual dysfunction, Harmonal inbalance

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This study examines the financial resilience of Logistics Company, a prominent player in the logistics company. Financial resilience is a critical aspect of a company's ability to withstand and recover from economic shocks, disruptions, and unforeseen events. In this project, we aim to analyze various financial indicators and metrics to assess Logistics company' capacity to navigate through challenging times and sustain its operations effectively .The research employs a mixed-methods approach, combining quantitative analysis of financial statements and ratios with qualitative insights from interviews with key stakeholders within the organization. By delving into factors such as liquidity, solvency, profitability, and risk management strategies, we seek to provide a comprehensive evaluation of Logistics Company' financial resilience.

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Resilience,Economic shocks, ability

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The aim of this study was develop chocolate, which is most loved food of children, while medicine is the disliked substance. Due to its health benefits, dark chocolate has been a popular food for several decades. It is also considered a functional food due to its anti-aging qualities. It is well-known for its role in weight management and altering a lipid profile to a healthy direction. Multivitamins are utilized to provide vitamins that are not absorbed through the diet and to address vitamin deficiencies resulting from illness. Further, prepared medicated chocolate is evaluated for general appearance, dimension, hardness, blooming test, drug content determination, physical stability etc.

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 Keywords

(Key Words: Beetroot, Brahmi, Neutraceuticals, Chocofusion)

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