Volume 12 | Issue 4 |

 Abstract

Cell lines have been pivotal tools in various fields of research, including cancer biology, drug discovery, developmental biology, and regenerative medicine. This review provides a comprehensive overview of different types of cell lines, their applications, and associated challenges. The review begins by categorizing cell lines based on their origin, including immortalized cell lines, primary cell lines, and stem cell lines. Immortalized cell lines, derived from tumor or transformed cells, offer advantages in long-term culture but may exhibit genetic alterations not present in primary cells. Primary cell lines, obtained directly from tissues, closely resemble in vivo conditions but have limited replicative capacity. Stem cell lines, such as embryonic stem cells and induced pluripotent stem cells, possess self-renewal and differentiation potential, making them valuable for regenerative medicine and disease modelling. The applications of cell lines span a wide range of research areas. Cancer cell lines, in particular, are extensively used for studying tumor biology, drug screening, and personalized medicine. Additionally, cell lines derived from specific tissues or organs contribute to understanding organ development, physiology, and pathology. Stem cell lines hold promise for cell-based therapies, tissue engineering, and studying developmental processes. Despite their widespread utility, cell lines pose several challenges. Contamination, misidentification, and genetic drift are common issues that can compromise research integrity. Furthermore, discrepancies between cell lines and in vivo models may limit translational relevance. Standardization of cell line authentication, culture conditions, and experimental protocols is essential to address these challenges and ensure reproducibility across studies.

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Cell lines, immortalized cell lines, primary cell lines, stem cell lines, cancer biology, drug discovery, regenerative medicine, challenges, applications.

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As a result of advancements in computer technology, the incorporation of artificial intelligence technologies into various applications is becoming increasingly widespread. A brief overview of the artificial intelligence technology, including its makeup and the procedure by which it was developed, is presented in this paper. Also included are the potential fields of mechanical and electrical engineering, as well as an evaluation of the relationship between these fields and AI advancements. All in all, a synopsis of the advancement of artificial intelligence might be tracked down in the field of mechanical issue determination. To show the particular utilization of artificial intelligence in mechanical engineering, we should accept the imperfection location of a hot fashioning press for instance. The procedures of artificial intelligence and their utilization in specialized diagnostics are the points that are talked about in this article. Various methodologies, for example, deep learning, will be given an exceptional importance. With regards to imperfection location and example acknowledgment, the deep learning strategy seems, by all accounts, to be a fantastic up-and-comer. The strategy was used to direct specialized diagnostics inside the car producing office, and the issue will be definite in the paper.

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Keywords:Exploration, The Power of Artificial Intelligence, Mechanical Engineering Advancements.Deep learning, convolutional neural networks, recurrent neural networks, deep belief networks, deep convolutional neural networks, histogram, scale-invariant feature transform, rectified linear unit.

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The most important feature for identifying a person is their face. Even twins have different faces from each other. Therefore, in order to differentiate one another, face recognition and identification are needed. The system used to verify an individual's identity using biometric data is called a face recognition system. In many applications these days, including phone unlocking, criminal identification, and even home security systems, face recognition has gained popularity. This technology is more secure because it only requires a face image rather than a card or key. Face detection and face identification are the two stages that a typical human recognition system goes through. This paper presents the idea behind creating a deep learning-based face recognition system with OpenCV in Python. Because of its great accuracy, deep learning appears to be a suitable technique for carrying out face recognition. The accuracy of the suggested face recognition system is shown by the experimental results.

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Face Recognition, Accuracy, Biometric, Deep Learning, Algorithm.

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the Following journal is based upon the event (War) that happened in Iraq in 2003. It was a war between the armed forces of Iraq led by Saddam Hussain and the western power (united) like The U.S.A. & its European allies.

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Research paper on Iraqi war

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As far as bodily organs go, the skin is king. It is a major route for topical and transdermal drug delivery. Transcutaneous delivery has numerous benefits over the oral and parenteral route of administration. However, the stratum corneum remains the main barrier in the effective delivery of wide collection of therapeutic molecules in the blood, specifically macromolecules. As the ideal characteristics to be delivered through the skin,the drugs should be sufficiently lipophilic and non ionic and should have lower molecular weight i.e. <500 da. Numerous studies have shown that, macromolecules require external sources of energy for their penetration through the skin. Although, these techniques are employed with additional assembly and require more investment in terms of money and time. Microneedles have recently been investigated for the delivery of macromolecules through a minimal invasive, painless procedure that penetrates the stratum corneum and creates micropores in the skin toenablethe successful passage of molecules through the skin into the systemic circulation.This method may prove cost-effective and more compliant as far as drug administrations by hypodermic needles are concerned.To portray the exceptional utility of these methods in transcutaneous delivery of hydrophilic or very large molecules, the present review aims to bring forward the current development in microneedle-based drug delivery and describe the essential features of these systems that are enabling them to transform the present and the future of transdermal drug delivery approaches. Future investigations on microneedle arrays may contribute to the advancement of the therapeutic efficiency of other molecules that are yet hard to deliver through the transcutaneous route following passive diffusion.

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Transdermal, Micro-needle, Macromolecules, Advanced Macromolecule delivery, Vaccine, Protein and peptide

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This paper presents a novel application of Augmented Reality (AR) that aims to transform the marketing and presentation of real estate properties. Using cutting-edge augmented reality technology, the app offers interactive space exploration and seamlessly integrates property measurements to create a dynamic and immersive user experience. Users can tailor their experience to their preferences with carefully designed room layouts and wall designs. Additionally, the app offers insightful infrastructure recommendations to help users make well-informed decisions about improvements or alterations to their properties. Incorporating realistic objects into virtual designs improves them and helps prospective buyers see themselves in the space. A seamless user experience is enhanced by features that are easy to use and intuitive navigation. The application holds great importance for real estate professionals as it streamlines sales procedures and enhances property displays. With its extensive furniture database and customizable experiences, the AR real estate app is expected to raise the bar for industry standards and improve user immersion. This project, which was completed in Android Studio using the ARCore plugin, demonstrates a dedication to both technological innovation and useful application in the real estate industry. The AR real estate app works to stay at the forefront of innovation by implementing continuous improvement initiatives, such as integrating user feedback and updating technology, in order to meet the changing needs of users and industry standards.

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Augmented Reality (AR), Real estate properties, Interactive space exploration, Property measurements integration, Dynamic user experience, Tailored room layouts, Wall designs, Infrastructure recommendations, Realistic virtual objects, Seamless user experience, Sales procedure optimization, Extensive furniture database, Customizable experiences, Android Studio, ARCore plugin, Continuous improvement.

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This study presents a new innovation for urban agriculture using Internet of Things (IoT) technology. The system addresses sustainability and limited resources in traditional agriculture by integrating a network of sensors, actuators and advanced analytics. Real-time data collection, automatic precision irrigation, optimized nutrient distribution and energy-saving studies are the main research areas. The solution provides farmers with insights to make better decisions through remote monitoring and predictive modelling. It promotes the energy sector using export technology. This article presents the most comprehensive solutions for healthy and smart city management and contributes to the debate on smart agriculture by analyzing the design process, use and impact.

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Smart Gardening System Using IOT

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Due to increasing number of vehicles traffic 1.1 Literature Survey jams are becoming a common scenario in the whole country as well as in the world. These frequent traffic jams at major junctions kill a lot of man hours. Thus it creates a need for an efficient traffic management system. So here we are going to implement a smart traffic control system which is based on the measurement of traffic density using real time video processing technique. Through this paper we tried to present a progress in the existing manual traffic control system. In our proposed system, we are going to use real time traffic data from CCTV cameras, we are going to processes that data using a Raspberry pi microcontroller, and by extracting meaningful information from real time traffic data such as vehicle types, density of traffic, emergency vehicles, such as ambulances, police vehicles etc. we are going to assign various traffic signal times according to density at that specific road. This we are going to achieve using IoT, Machine learning. We are going to use HAAR Cascade algorithm specifically for drawing boundaries around vehicles, and same algorithm will get used for vehicle identification.

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CCTV, Raspberry pi, Edge detection, HAAR Cascade, IoT, Machine Learning.

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Hair plays a vital role in the personality of human which are the eruptions from the skin. Herbal formulations always have lesser or no side effects comparatively with synthetic. The aim of present study involves preparation of herbal hair oil using the herbal ingredients like, Pomogranate (Leaves), Hibiscus(leaves), Curry Leaves (Leaves), Coconut Oil. Based on the above observations, mixture of crude drugs was prepared in the form of herbal hair oil by boiling method. We have used two formulas using different herbal drugs and all the formulation are showing hair promoting activity with some of other beneficial activities like antidandruff activity, improves blood circulation to the scalp and roots, reduce hair pigmentation, antifungal activity, reducing the whitening of the hair. The main ingredient which we have used in hair oil is Punica granatum L. leaves. And the leaves extract of Punica granatum is rich in biotin which is very beneficial for our hair. And other efficient herbs we have used like Hibiscus leaves, Curry Leaves (Leaves) coconut oil in the form of Herbal oil using boiling method. These ingredients are rich in various sulphur content,vitamins, proteins, antioxidant and so many other constituents which are important for promoting Hair growth. The main objective of this work is to develop such an herbal hair oil formulation which can resolve the problem related to the hair growth & other hair diseases. The formulated herbal oil was evaluated by using various parameters such as organoleptic properties, specific gravity, stability, viscosity, Acid value, pH etc. and the value obtained from it are found to be similar to that of the standard values like there is no sedimentation, no grittiness and shows satisfying organoleptic properties and the results were determined and are reported in this work.

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Hair oil, Punica granatum

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