https://www.journal-aquaticscience.com/ Int. J. of Aquatic Science en daily 1 Mon, 01 Jan 2024 00:00:00 +0330 Mon, 01 Jan 2024 00:00:00 +0330 https://www.journal-aquaticscience.com/article_203224.html Safety valves are widely used as the safety device in pressure systems, such as  medical oxygen tanks , boilers and pressure pipes, to ensure the safe operation of pressure systems. At present, the inspection of safety valves is mainly carried out by manual operation or semi-automatic operation, and it requires a lot of manpower operation costs. Moreover, the measurement of different pressure ranges is performed using only a single pressure sensor such that the test precision is insufficient. In this study, a high-precision safety valve test with four testing channels(socket) was proposed, and an manual man made testing system was developed. In this system, the user can define the test specifications through parameter setting. The system can manually execute the complete test control process and judge whether the test was passed based on the measured data. In this project for the low, middle, and high test pressures, the safety valves of four different states were tested respectively and the test reports were parameter noted . Finally, it statistically analyzed the test results for the diagnosis of the safety valve failure. Therefore, the results of this research may effectively solve the problems of current safety valve testing and improve its operational efficiency and test quality.All materials used in the fabrication of this machine are of standard specification and locally sourced.  The equipment also eliminated dependency on the 3rd party, reducing testing valve cost. This machine eliminates the problems and limitations to a greater extent. In this way the production rate increases, time saving as compared to dependency on 3 rd party. https://www.journal-aquaticscience.com/article_203226.html In the rapidly evolving digital landscape, concerns about online privacy, data security, and censorship have led to a surge in the use of Virtual Private Networks (VPNs). This literature review investigates the development of enhanced free VPN services equipped with advanced security features. Through a comprehensive exploration of VPN technology, encryption methods, security challenges, privacy considerations, and advanced security measures, this review aims to provide a detailed understanding of the multifaceted landscape of VPN development. Additionally, it delves into open-source and free VPN solutions, assessing their advantages, challenges, and successful implementations. The review addresses the critical balance between user experience and security, focusing on optimizing both aspects in VPN services. As VPNs play an increasingly crucial role in safeguarding digital privacy, this literature review serves as a comprehensive guide for those aiming to create enhanced free VPN services with robust security. https://www.journal-aquaticscience.com/article_203228.html Social media platforms have been widely used as a communication tool where most of the population expresses their feelings and shares life experiences. Along with general information about the public, these platforms hold an ample amount of content related to depressed users and thus can generate sensitive social signals indicating if a person is suffering from some serious issues, such as self-harm, suicidal thoughts, or intention for an unlawful act. Early depression detection using advanced natural language processing (NLP), deep machine learning, and transfer learning techniques can assist in designing an efficient system to detect major depressive systems at an early stage. The current depression detection models are not enough to capture sensitive social signals indicating the true mood, personality, and behaviour of an individual. Thus, making the current systems unsatisfactory. To address this life-threatening human-health problem, we HV propose an efficient artificial intelligence (AI) and deep learning (DL)-based model for identifying depressed individuals on social media platforms. https://www.journal-aquaticscience.com/article_203230.html Healthcare is actually significant to lead a good life.  However, it’s very problematic to make a discussion with the doctor for every health problem. The idea is to generate a Healthcare chatbot using artificial intelligence that can diagnose the disease and deliver details about the disease before consulting a doctor. This will help to reduce healthcare costs and improve accessibility to medical knowledge through the healthcare chatbot. The Chatbot stores the data in the database to identify the   judgment keywords to make a query decision, Answer the question. For this  design, we used two types of  datasets one is data that consists of datasets; testing  datasets, training datasets, and other types of datasets  that we used is master data, which consists of datasets of  symptom description, symptom precaution, and symptom  severity. https://www.journal-aquaticscience.com/article_203231.html The widespread adoption of Large Language Models (LLMs) in generative Artificial Intelligence (AI) tools has raised significant concerns about user privacy. To address this challenge, we propose Private ChatGPT, a privacy-preserving model for LLMs. It focuses on safeguarding user privacy during data curation and pre-processing, as well as ensuring private context preservation during the training process. We integrate differential privacy and private training using Reinforcement Learning (RL) to protect user privacy while maintaining utility. Our evaluation demonstrates the effectiveness of differential privacy in striking a balance between privacy and model performance. https://www.journal-aquaticscience.com/article_203254.html The project described focuses on the development of a system aimed at enhancing human-machine interaction by translating natural language commands into executable code, particularly focusing on arithmetic and mathematical operations. The overarching objective is to simplify the process of code generation. Motivated by the increasing success of AI and automation across various fields, automatic code generation has the potential to significantly enhance software engineering and development projects, making them more accessible to a wider audience. Addressing a key concern in software engineering, the proposed system employs novel techniques using NLP and AI to generate relevant code fragments based on provided natural language descriptions into programming language. The ultimate goal is to create a system capable of understanding given description and convert it into a plain code or programming language. https://www.journal-aquaticscience.com/article_203256.html This report presents a study on automating the identification of Ayurvedic medicinal plants using image processing and machine learning. Ayurveda relies on diverse plant species for healing, emphasizing the need for accurate identification. The project involves creating a robust dataset of plant images, employing pre-processing and feature extraction techniques, and implementing machine learning algorithms for classification. It highlights the fusion of ancient herbal medicine with modern technology, showcasing the potential of interdisciplinary research in healthcare. Phase 1 progress focuses on accurate plant species recognition, with 40% completion. This work signifies a promising direction for revolutionizing the identification and utilization of medicinal plants in Ayurvedic medicine. https://www.journal-aquaticscience.com/article_203258.html Sorting systems are used to sort items based on various criteria so that they can be packaged accordingly. Manual sorting is a time and effort intensive process. Automatic sorting systems allow for fast and efficient of products. To demonstrate the sorting system we develop Arduino based sorting system project. The system consists of a proximity sensor to sense the type of product using shape. The system is powered by Arduino to control the sorting system. Sorting is a process in which two or more objects of similar, yet different characteristics are arranged in a systematic order. This is generally carry through manually or by using sensors in automation. Here a highly automated system is proposed which uses Arduino UNO for detecting the presence of objects and sort on the basis of shape. https://www.journal-aquaticscience.com/article_203260.html Plant diseases pose a significant threat to global agriculture, affecting crop yields and jeopardizing food security. In this study, we present a novel approach to address this issue through the utilization of Convolutional Neural Network (CNN) models for plant disease detection. Our research focuses not only on the accurate identification of plant diseases but also on providing practical precautions and solutions to assist small-hold farmers in maximizing crop yield capacity. By enabling early disease detection and offering actionable guidance, our approach contributes to reducing financial losses, enhancing food security, and supporting the sustainability of small-scale agriculture. Early detection of plant disease can help in ensuring food security and controlling financial losses. The images of diseased plants can be used to identify the diseases. Classification abilities of Convolutional Neural Networks are used to obtain reliable output. Such techniques are widely used and proved beneficial to farmers as detection of plant disease is possible with minimal time span and corrective actions are carried out at appropriate time. In this paper, the performance of a pre-trained ResNet34 model in detecting crop disease is investigated. https://www.journal-aquaticscience.com/article_203262.html In this research, a novel navigation algorithm for self-driving vehicles that avoids collisions with pedestrians and ad hoc obstacles is described. The proposed algorithm predicts the locations of ad hoc obstacles and wandering pedestrians by using an RGB-D depth sensor. Unique ad hoc-obstacle-aware mobility rules are presented considering those environmental uncertainties. A Deep Reinforcement Learning (DRL) algorithm is proposed as a decision-making technique (to steer the self-driving vehicle to reach the target without incident). The deep Q-network (DQN), double deep Q-network (DDQN), and dueling double deep Q-network (D3DQN) algorithms were compared, and the D3DQN had the fewest negative rewards. We tested the algorithms using the Carla simulation environment to examine the input values from the RGB-D and RGB-Lidar. The series of algorithms that make up the convoluted neural network D3DQN was  consequently selected as the optimum DRL algorithm. In the modeling of slow-moving urban traffic, RGB-D and RGB-Lidar generated essentially the same results. A self-driving version of an updated child-ride-on-car was modified to demonstrate the real-time effectiveness of the proposed algorithm. https://www.journal-aquaticscience.com/article_203263.html The research on” Skin Disease Detection and Classification Using Ensemble Learning” presents a comprehensive analysis of a novel approach to diagnosing and categorizing skin diseases. Leveraging the power of ensemble learning techniques, the study introduces an innovative method for accurate and reliable skin disease detection. By combining multiple classification algorithms, the proposed model exhibits enhanced performance in identifying various skin conditions, ultimately aiding healthcare professionals in making precise diagnoses. This abstract highlights the significance of research in improving medical diagnostics, underlining the potential to revolutionize the field of dermatology and enhance patient care. The results demonstrate the effectiveness of ensemble learning as a valuable tool for automated skin disease diagnosis, offering a promising direction for future medical research and applications. https://www.journal-aquaticscience.com/article_203265.html The most popular invention in Human Computer Interaction (HCI) is the mouse. The most significant innovation in artificial intelligence that has the potential to drastically alter peoples' way of living is the voice assistant. Many devices are changing to become intelligent in their own distinct manners so they will interact with people easily. Thus, with the help of a hand, this research provides an innovative approach for controlling mouse movements using a real-time camera. With the help of system, human hand postures will be recognized more accurately in HCI applications, computing time will be reduced, and user comfort in regards to hand postures will improve. The application has good time-based performance based on the selected hand feature and recommended algorithm. The suggested positions for the hands along with the voice assistance help to make the system easier for the user. This system integrates image processing and deep learning concepts to allow users to operate their computers with simple hand gestures and spoken commands with help of OpenCV, MediaPipe, Python and other tools. Users may effortlessly switch between gestures and spoken commands for performing operations, access information, and interact with their devices when a voice assistant is incorporated. https://www.journal-aquaticscience.com/article_203267.html Assistance of blind or disabled person is a known issue in India and other countries and many of the researchers had worked to provide better solution to help them. There are stick/walker having ultrasonic sensor to avoid the collision of blind person with any object in between and there is an advanced wheelchairs are also available that is easy to operate but if the disable person also can’t able to see then an integration of these technologies may help them. In this we are going to create a SLAM and AI base wheelchair which will help “Blind and Disabled” with the help of this Robotic Assistance to assist the people to find theand communicate with the AI. Which will help to reach accurate destination. https://www.journal-aquaticscience.com/article_203269.html Building an electronic voting system that satisfies the legal requirements of legislators has been a challenge for a long time. Distributed ledger technologies is an exciting technological advancement in the information technology world. Blockchain technologies offer an infinite range of applications benefiting from sharing economies. This paper aims to evaluate the application of blockchain as service to implement distributed electronic voting systems. The paper elicitates the requirements of building electronic voting systems and identifies the legal and technological limitations of using blockchain as a service for realizing such systems. The paper starts by evaluating some of the popular blockchain frameworks that offer blockchain as a service. We then propose a novel electronic voting system based on blockchain that addresses all limitations we discovered. More generally this paper evaluates the potential of distributed ledger technologies through the description of a case study, namely the process of an election and implementing a blockchain-based application which improves the security and decreases the cost of hosting a nationwide election. https://www.journal-aquaticscience.com/article_203270.html Chatbots are special agents that respond with the user in natural language just as a human would reply. Specifically, social chatbots are the ones which establish a strong emotional relationship with the user. The main concept behind this chatbot was to provide mental relief to students who undergo different levels of stress and which can be the onset of an inimical depression. In this paper, we proposed an intelligent social therapeutic chatbot which distributes the text into emotion labels namely, Happy, Joy, Shame, Anger, Disgust, Sadness, Guilt, and Fear. Further, based on the emotion label, it identify the users’ mental state such as stressed or depressed using users’ chat data. For emotion detection, we deployed three popular deep learning classifiers namely, Convolutional Neural Network (CNN), Recurrent Neural Network (CNN), and Hierarchical Attention Network (HAN). In particular, the proposed methodology of the chatbot is domain specific where through the users’ interaction, the chatbot will try to prevent the pessimistic actions and rebuild more constructive thoughts. https://www.journal-aquaticscience.com/article_203273.html The issue of car parking in urban regions has emerged as a significant concern in both developed and developing nations. The only solution to this problem is to search for parking spaces for pro-longed periods of time. So, detecting vehicles in no parking area is the solution for this issue. This project proposes an Smart system with the help of number plate detection using OpenCV library. Cameras are used to get the images of vehicles parked in the restricted areas. License numbers. Which are detected through traffic cameras automatically search for the registered phone numbers in the database and send this. The results of the implementation demonstrate a significant reduction in unauthorized parking incidents and an increase in compliance with no parking regulations. The systemnot only contributes to smoother traffic flow but also generates revenue for city management. This research underscores the potential of technology-driven solutions in enhancing urban traffic management and enforcing parking regulations. Smart system as an SMS to the registered phone numbers of the people who violated the regulation proposed by the respective government. https://www.journal-aquaticscience.com/article_203275.html Digitization brings new possibilities to ease our daily life activities by the means of assistive technology. Amazon Alexa, Apple Siri, Microsoft Cortana, Samsung Bixby, to name only a few were successful in the age of smart personal assistants (spas). A voice assistant is defined a digital assistant that combines artificial intelligence, machine learning Speech Recognition, Natural Language Processing (NLP), Speech Synthesis and various actuation mechanisms to sense and influence the environment. We use different NLP techniques to convert Speech to text (STT), then process the text, convert Text to Speech (TTS), add various functionalities. However, SPA research seems to be highly fragmented among different disciplines, such as computer science, human-computer-interaction and information systems, which leads to ‘reinventing the wheel approaches’ and thus impede progress and conceptual clarity. In this paper, we present an exhaustive, integrative literature review to build a solid basis for future research. Hence, we contribute by providing a consolidated, integrated view on prior research and lay the foundation for an SPA classification scheme. Instead of pattern recognition we use NLP techniques to recognize the text which is context based. Operates online as well as offline. Data is Stored in Application itself, reduces Time and Space Complexity. We are developing a system which recognizes the voice on the basis of dataset, and then the corresponding response will be given on the basis of input voice received by the user. There are three stages on which it prominently works: -pre-processing, classification and data extraction. Desktop voice assistant are programmes that use integrated voice systems to recognize and respond human voice. https://www.journal-aquaticscience.com/article_203283.html Deep convolutional natural networks, have gained a lot popularity in a Medical research due to their impressive result in detection, prediction and classification. Analysis of panoramic dental radiographies help specialists observe problem in a poor visibility areas inside the buccal cavity or in hard to reach areas. However, poor image quality or fatigue can cause the diagnosis to very, which can ultimately hinder the treatment. In this paper we propose novel approach of automatic teeth detection and dental Problem classification using panoramic X-ray images which can aid the medical staff in making decision regarding the correct diagnosis. For this endeavor  panoramic radiographic were Collect the from three dental clinics and annotated, highlighting 14 different dental issue that can appear. A CNN was trained using the annotated data for obtaining semantic segmentation information. Next multiply images processing operation were performed for segmenting and refining the bounding boxes corresponding to the teeth detection. finally is tooth instance Was labeled and the problem affecting it was identified using a histogram-based majority voting within the detected region of interest. The implemented solution was evaluated with respect to several Metrics like intersection over union for the semantic segmentation and accuracy, precision, recall and F1 - score for the generated bounding box detections. The results where compared qualitatively with the data obtained from other approaches illustrating the superiority of the proposed solution. https://www.journal-aquaticscience.com/article_203285.html The main goal of this project is to develop an intelligent driver monitoring system for driver drowsiness and accident prevention by monitoring eyes and facial expressions. It is believed that the signs of driver fatigue can be detected early enough to prevent traffic accidents. In such cases, if the system detects drowsiness, it issues a warning signal to warn the driver and send a message to the people around. This detection system provides a non-contact technology to determine different levels of driver attention and facilitates early detection of lapses in attention while driving. In such cases, if fatigue is detected, a warning signal will be emitted to warn the driver, and the system will send a message as a warning to nearby drivers several times. https://www.journal-aquaticscience.com/article_203286.html Today’s institutions are facing major security issues; consequently, they need several specially trained personnel to attain the desired security. These personnel, as human beings, make mistakes that might affect the level of security. A proposed solution to the aforementioned matter is a Face Recognition Security System, which can detect intruders to restricted or high-security areas, and help in minimizing human error. This system is composed of two parts: hardware part and software part. The hardware part consists of a camera, while the software part consists of face-detection and face-recognition algorithms software. When a person enters to the zone in question, a series of snapshots are taken by the camera and sent to the software to be analyzed and compared with an existing database of trusted people. An alarm goes off if the user is not recognized. https://www.journal-aquaticscience.com/article_203288.html Damage to the electrical parts can inevitably occur. It can be caused by many factors either from within and outdoors the system. three phase induction motor is that the most typically utilized in trade, however the issues like over current and voltage along with dry water level condition on the motor are still found. they will cause fatal harm to the motor. Therefore, a relay protection system that utilizes a microcontroller has been created to shield the three phase induction motors. This relay protection is meant otherwise from standard relay protection that normally utilized in trade. it's designed supported the microcontroller management. This paper presents a protection system for three phase appliances from over voltage and under voltage. Because of this electrical fault it get heated which lead to insulation failure and thus reduces the life. In the suggested system limit is set for voltage range that is considered normal working condition. PIC microcontroller checks the condition, if not satisfies trip load and it isolates from the supply. Undervoltage and overvoltage are two of the most common problems that impact electrical equipment in industries. This type of protection is capable of greatly resolving this problem. A lamp load is used in this work to test the working of proposed system. https://www.journal-aquaticscience.com/article_203289.html Farmers often use three phase induction motors for irrigation applications, such as running water pumps. While these motors are reliable and efficient. Generally, farmers are using three phase induction motor to extract the water from open well and irrigate their farm. Induction motor suffers from disturbances we term it faults. The main concept of the project is to develop an induction motor protection system for protecting the motors from any damages occurring from single phasing, unbalanced voltage fault, ground fault and dry run fault by integrating the microcontroller with sensors to make the reliable, cheap, quick response protection system against fault. https://www.journal-aquaticscience.com/article_203291.html This study analysed the recent research articles on deep learning techniques in agriculture over the previous five years and discussed the most important contributions and the challenges that have been solved. Furthermore, we investigated the agriculture parameters being monitored by the internet of things and used them to feed the deep learning algorithm for analysis. Additionally, we compared different studies regarding focused agriculture area, problems solved, the dataset used, the deep learning model used, the framework used, data preprocessing and augmentation method, and results with accuracy. We concluded in this survey that although CNN provides better results, it lacks in early detection of plant diseases. To cope with this issue, we proposed an intelligent agriculture system based on a hybrid model of CNN and SVM, capable of detecting and classifying plant leaves disease early. - Farming productions are a necessary employment in industrial and for employment. The Internet of Things (IoT) has the capability to convert the methods we stay in the universal. We have additional-effective manufacturing, greater associated vehicles, and smoother townships, a lot of these as Flavors of an integrated Internet of Things (IoT) system. https://www.journal-aquaticscience.com/article_203292.html This project focuses on the implementation of an Internet of Things (IoT) system for fruit quality detection. It would likely discuss how sensors embedded in the system collect data on various parameters such as the colour, freshness, and quality of the fruits. In this data is transmitted wirelessly to a central system i.e. ESP 8226 for analysis, enabling real-time monitoring and decision-making. Additionally, it could touch upon the potential benefits such as improved quality control, reduced waste, and enhanced efficiency in fruit production and supply chains.   https://www.journal-aquaticscience.com/article_203293.html One advancing technology that has been impossible to ignore lately has been the work with autonomus vehicles. These vehicles have gone from scientific curiosity to mainstream within a few short years and soon we’ll be seeing them as regular traffic on our streets.  A very distinctive component in a self-driving vehicle is the spinning LIDAR sensor mounted on the top of the vehicle. This is one of the principal components in self-driving vehicles as it collects data regarding the surrounding area to allow the navigation systems to guide the vehicle safely.  https://www.journal-aquaticscience.com/article_203297.html "Anti-Theft Travel Bag" project aims to design and develop an innovative and secure travel bag to address the rising concerns related to theft and unauthorized access during travel. This project introduces a comprehensive solution by integrating cutting-edge technologies and design elements to create a highly secure and user-friendly travel companion. This project introduces a novel security system utilizing two microcontrollers for trolley and owner communication via Bluetooth. When the owner is nearby, designated as "A," a continuous signal maintains the trolley in a stable state, allowing effortless movement by the owner. However, when the owner is distant, marked as "B," any attempt to move the trolley activates a vibration sensor, triggering a GSM module. This prompts the trolley to signal the owner through a smart buzzer, ensuring heightened security against potential theft. https://www.journal-aquaticscience.com/article_203301.html Pervious concrete is a type of concrete with a high void content, which allows water to pass through it more easily than traditional concrete. This makes it a good choice for applications such as parking lots, sidewalks, and driveways, where it can help to reduce storm water runoff and improve water quality However, pervious concrete is also more susceptible to cracking than traditional concrete due to its high porosity. This can be a problem in areas where the concrete is exposed to heavy traffic or extreme weather conditions. Self-healing concrete is a type of concrete that can repair itself when it cracks. This is typically done by incorporating bacteria or other microorganisms into the concrete mix. When the concrete cracks, these microorganisms are activated and produce minerals that fill in the cracks and seal them. Selfhealing pervious concrete is a type of pervious concrete that has self-healing capabilities. This is typically done by incorporating self-healing bacteria into the concrete mix. When the concrete cracks, these bacteria are activated and produce calcium carbonate, which fills in the cracks and seals them https://www.journal-aquaticscience.com/article_203303.html The construction industry is facing increasing pressure to adopt sustainable practices to mitigate environmental impacts and address resource scarcity. Sustainable construction materials play a pivotal role in achieving these goals by reducing carbon emissions, minimizing waste generation, and promoting circular economy principles. This research article provides a comprehensive review of advancements in sustainable construction materials, encompassing various categories such as recycled materials, bio-based materials, and low-carbon alternatives. It explores a wide array of materials such as Human Hair fiber, bamboo, coconut fiber, and more. Each material's sustainable attributes, including recyclability, durability, energy efficiency, and reduced environmental impact, are thoroughly examined. Furthermore, the review investigates the manufacturing processes, life cycle assessment, and environmental performance of these materials. It discusses the challenges and barriers to the widespread adoption of sustainable construction materials, including cost considerations, regulatory hurdles, and technological limitations. https://www.journal-aquaticscience.com/article_203304.html The main objective of this project is to develop Normal concrete and no fine concrete and simultaneously motivate the people about no fine light weight concrete. No fine light weight concrete is a type of concrete that incorporates lightweight aggregates to reduce its density and overall weight. Its commonly used in construction to improve insulation, reduce dead load on structures and enhance fire resistance. The main focus of this concrete is to low density and thermal conductivity, ultimately there Is reduction of dead load, faster building rate in construction and lessen haulage and handling costs. This focuses on tests such as Compressive test only. The results obtained are interesting and useful to compare the results with that of traditional concrete. No-fine concrete is produced by using ordinary Portland cement, coarse aggregates, and water. This concrete is tested for its properties, such as slump value, porosity and compressive strength. The results showed that compressive strength of no-fine concrete is grade M20 and water/cement ratio is 0.36 there are compressive strength is 7.93 N/mm2. The normal concrete has a density of 2200 to 2600 kg/m3 and no fine concrete has a density of 1600 to 2100 kg/m3. In the present study, an attempt has been made to partially replaced coarse aggregate and fully replaced fine aggregate by lighter weight material to achieve concrete of lighter density. This concrete is mix with different ratios of aggregate/cement and it helps find different properties like physical and mechanical.   https://www.journal-aquaticscience.com/article_203306.html Concrete is widely used in construction. Concrete, the second most used material after water around the globe which accounts for 8 to 10% of total CO2 emissions is mainly due to cement. These CO2 is responsible for global warming and pollution.  In this project there is replacement of cement with the percentage of Ferrock and River sand is replace with M-sand. Ferrock is a waste material of steel. Ferrock is an iron based binding compound which utilizes variety of waste materials to form a carbon negative building material. From Researchers the best suitable proportion of Ferrock is Iron dust (60%), fly-ash (20%), Metakoalin (12%) and limestone (8%). M-sand is manufactured sand which is crushed from stone or gravel also known as machine made sand, artificial sand or crushed stone sand. In this M20 Grade concrete is used and for that the mix design was done having the different composition of cement, Fine Aggregate, Coarse Aggregate M-sand Ferrock and Water. The cubes are tested after the curing duration of 7 days and2 days. In this research work, there was replacement of the cement with the ferrock having a percentage variation 10 % and 20%.And replacement of River sand with M-Sand in percentage variation 0%, 50% and 100%. With the replacement of cement with ferrock and River sand with M-sand it was found that compressive strength was increased, and durability of the concrete was also increased. Also, it was economical as ferrock is a waste material which is available free of cost and M-sand is also cheaper than River sand, so it reduced the overall cost of the work. Also, the Ferrock has a property to absorb the Carbon dioxide from the environment so it is also reducing the air pollution.   https://www.journal-aquaticscience.com/article_203307.html Labyrinth weirs are commonly used to increase the capacity of existing spillways and provide more efficient spillways for new dams due to their high specific discharge capacity compared to the linear weir. In the present study, an experimental and numerical investigation was conducted to improve the rectangular labyrinth weir performance. Labyrinth spillway is the effective and economical solution to increase the discharge by increasing the spillway crest length without an associated increase in structure width. Use of labyrinth spillway is particularly suited to sites where the spillway width and upstream water surface are limited and larger discharging capacities are required. https://www.journal-aquaticscience.com/article_203308.html Compound labyrinth weir is a new type of labyrinth weirs that consider a good applicable choice for increasing the capacity of discharge. The flow over a compound labyrinth weir is a complex problem because the flow behavior is three dimension. The present study aims to simulate the flow over the compound labyrinth weir into the critical regions that cannot be observed when using an experimental test. Labyrinth weirs are a type of weir that is folded in plan view to increase the total spillway crest length. This increased crest length results in a higher discharge capacity for a given head than a linear weir of the same width. Labyrinth weirs can be used to increase the discharge capacity of existing spillways or to provide more efficient spillways for new dams.   https://www.journal-aquaticscience.com/article_203309.html This report presents experimental study on effect of partial replacement of coarse aggregate by Light weight coarse aggregate (LECA). LECA is also more or less similar to properties of coarse aggregate. LECA is used in concrete to minimize the demand of coarse aggregate and also in design of concrete structures, self-weight occupies very large portion of total load coming on the structures critically in cases such as weak soils and tall structures. Also impressive benefits in lessening density of concrete. And compare the weight of concrete and strength properties viz. cube compressive strength of light weight concrete against conventional concrete by partially replacing natural aggregates as LECA by 5%,10%,15% and 20%. As the percentage of LECA in concrete increases both slump values and compaction factor values are decreases at fresh concrete. As well as in hardened concrete density of concrete and compressive strength of concrete also decreases. One such waste material is fly ash, which is produced in large quantities from thermal power plants as a by-product. A substantial amount of fly ash is left unused posing environmental and storage problems. The production of sintered lightweight aggregate with fly ash is an effective method to dispose of fly ash in large quantities. The partially replaced coarse aggregate by using LECA and Fly ash in various trial percentage and the conventional water cement ratio and standard proportion to be use for experiment. https://www.journal-aquaticscience.com/article_203312.html Electronic waste or e-waste defines rejected electrical or electronic devices. Secondhand electronics which are destined for recover, resale, salvage, recycling, or disposal are also considered e-waste. Electronic waste is an emerging concern posing serious contamination problems to the human and the environment. E-waste disposal is a typical task for whole over the world. Utilization of E-waste materials is a partial solution to environmental and ecological problems. Due to large amount of concrete use as the construction material availability of raw material is being questioned. Therefore, other replacing materials are needed to be finding out. E-waste is used as one such alternative for aggregate in concrete.    Coconut trees are widely cultivated in the southern states of India, especially Kerala. Coconut shells as a concrete is gaining importance possible reduction of waste sustainable alternative for. The properties of concrete aggregate were investigated substitute for coarse aggregates in especially in this region in terms of products in the environment and finding a non-renewable natural stone aggregates. using crushed coconut shell as coarse in an experimental study. Coarse crushed coconut shells in three different and 100%. Workability, compressive splitting tensile strength of the above with normal concrete properties. The promote the use of coconut shell as coarse aggregates. https://www.journal-aquaticscience.com/article_203314.html Million tons of E-waste is being generated annually all over the world. But only 12.5% of e-waste is recycled and the remaining e-waste is landfill or burn. Once the electronic instruments becomes a waste it is disposed in landfills, which is harmfull for nature and animals this is does not decompose in the environment. E-waste is principally composed of fibreglass and copper. Use of e-waste in concrete as replacement of aggregate cement could be an important step toward development of sustainable (environmentally friendly, energy-efficient and economical) infrastructure systems. When e-waste is crush to small size particles, it is make a good bond with cement, e-waste is react with soil and it release a harmfull substances like Lead, Cadmium, Chromium Such type of material are affect the soil productivity. In burning of e-waste release a harmfull gases in the environment like carbon. For the solution for this problem we use a e-waste in Precast  pannal  to reduce the e-waste. Coconut shell is a natural waste which is thrown by people in anywhere so we use that in a precast wall as a course aggregate. https://www.journal-aquaticscience.com/article_203316.html Structural Audit of a building means everything connected to the conduct of a building, which includes strength of the columns, beams, pillars, iron bars, plasters, sewage discharge systems, water pipeline systems, etc. The need of structural audit is for maintenance and repairs of existing structures timely which leads to prolonged life of the building and safety of the occupants to avoid any mishaps and save valuable human life. The periodical structural auditing of existing buildings is thus of utmost importance in finding the present serviceability and structural viability of structure.   https://www.journal-aquaticscience.com/article_203317.html Retrofitting is the modification of existing structures to improve the performance and durability of the structure. Retrofitting on a slab typically involves adding structural enhancements or improvements to an existing structural member to strengthen it or to accommodate new loads or uses.  Day to day concrete structure to need retrofitting due to various factors like corrosion, lace of detailing, and failure of bonding etc. Due to this defect we choose the main structural member as slab. In retrofitting, Ferro cement strengthening techniques, a versatile construction material, offers numerous advantages such as affordability, ease of construction, and adaptability to various shapes and sizes. However, to optimize its performance and durability, it requires appropriate strengthening techniques. This project explores a range of methods aimed at enhancing the structural integrity of ferro cement structures. Through a comprehensive literature review and experimental investigations, this study identifies key strengthening techniques including increasing reinforcement density, optimizing mesh configuration, controlling cracking, applying surface treatments, ensuring proper curing, and implementing quality control measures during construction. The effectiveness of these techniques is evaluated through laboratory testing and numerical simulations to assess their impact on structural performance, durability, and cost-effectiveness. Additionally, case studies and real-world applications demonstrate the practical implementation and benefits of these strengthening techniques in diverse engineering scenarios such as building construction, marine structures, water tanks, and bridges. The findings of this project contribute to advancing the understanding and utilization of ferro cement as a sustainable and resilient construction material, thereby promoting its widespread adoption in various infrastructure projects. https://www.journal-aquaticscience.com/article_203320.html Due to the rapid increase in urbanization, there’s a growing need to safeguard the environment and the soil. To address this, we’re utilizing industrial and agro – waste. For example, steel slag has already proven effective in stabilizing soil. Along similar lines, research shows that fly ash and coconut shells can also be valuable. Based on a specific research paper, we’ve decided to combine all three materials in varying proportion for soil stabilization. Steel slag will be used at 5%, 10% and 15%, while coconut shell present in all samples at 5%. Additionally fly ash will be incorporated at 12%, 15% and 16%, by conducting a series of tests including CBR, MDD, OMC, Plastic limit, Liquid limit and Plasticity index, we aim to assess the outcomes of the approach. https://www.journal-aquaticscience.com/article_203321.html The construction industry's contribution to global sustainability efforts necessitates exploring eco-friendly alternatives for building materials. This study investigates the impact of natural foaming agents on the engineering properties of foam concrete, with a focus on environmental considerations aligned with global sustainability goals. Foam concrete, a lightweight material without coarse aggregate, relies on the type of foaming agent used. This paper presents a study on the effects of natural foaming agents on foam concrete's engineering properties, including compressive strength, water absorption, and density. Experimental results indicate that foam concrete produced with a natural foaming agent exhibits greater compressive strength and density while absorbing less water. These findings contribute to reducing the dead load on structures and minimizing labor costs during construction. https://www.journal-aquaticscience.com/article_203323.html Graphite is a type of crystal carbon and a half-metal, with a planar and layered structure. It is a grayish black, opaque substance, lighter than diamond, smooth and slippery to touch, a good conductor of heat and electricity, and a crystalline solid. Graphite is used in various applications, including steelmaking, brake linings, lubricants, foundry facings, and batteries. Graphite atoms are sp2 hybridized and are non-inflammable. The study aims to study the properties of graphite admixture concrete and suggest its use in the construction sector. The objectives include assessing mechanical properties, thermal conductivity, durability, workability, cost-benefit analysis, and sustainability. The experimental studies used include the Cement Fineness Test, Consistency Test, Initial Setting Time, and a Cost-Benefit Analysis. https://www.journal-aquaticscience.com/article_203336.html Water is an essential resource for human survival, yet its quality is often compromised due to various factors. In this study, we conducted a comparative analysis of groundwater and lake water in Perungalathur village, focusing on key physico-chemical parameters. This investigation covered three two sources: borewell water and lake water. The study aimed to assess the quality of water in these areas and identify potential solutions to improve water quality. The collected water samples from Perungalathur. Parameters such as pH, dissolved oxygen (DO), alkalinity, total hardness, chloride, calcium, total dissolve solids (TDS) and temperature. were analyzed according to World Health Organization (WHO) standards. The findings revealed that groundwater in the region tends to be acidic and predominantly oxidizing. Lake water quality also exhibited variations. Given the increasing scarcity of clean water, understanding the quality of available water sources is crucial. By comparing different water parameters, we can develop effective strategies to safeguard water resources for future generations. This study gives a valuable insight into sustainable water management in perungalathur and similar region. https://www.journal-aquaticscience.com/article_203339.html Since we identify water shortage   iS mounting day by day, so an important research        should be needed to do the constructions without water. In early stages, water was mandatory for the curing purposes in construction. Curing of material do a main role for rising pore structure and microstructure to increase durability and performance with water-absorption material as self curing agent natural fibre (Sawdust). So, This paper highlights the effect of curing with the help of natural fiber (Sawdust). 5%, 10% and 15% of cement replaced with 5%, 10% and 15% of sawdust in the concrete. Adding 0.5%, 1% and 1.5% of calcium lignosulphonate for strength. The property such as compressive strength and water absorption of concrete was examined with normal curing cubes and self-curing cubes at 7 days and 28 days for M20 grade of concrete. Formula of Sodium lignosulphonate is [R-SO3]2Ca(CaCO3)n is yellow brown soluble powder was used in curing than the conventional curing of concrete. Self-curing concrete has higher tensile strength than conventional concrete   https://www.journal-aquaticscience.com/article_203340.html Plastic waste is accumulating rapidly due to various industrial activities, polluting the environment. It is non-biodegradable, leading to global deterioration. The study suggests using sustainable building materials, such as combining polyethylene terephthalate (PET) waste with wood fibers to make non-conventional bricks, which encourages efficient use of wood industry waste. In this research, we utilized a unique method of creating bricks by combining polyethylene terephthalate (PET) waste with wood fibers. four types of bricks were examined, one with 75% PET waste, second with 85%PET, third with 80% PET and forth with 70% PET content with using Constant proportion of chemical in each brick. It is important to note that this evaluation is based solely on mechanical and physical properties and does not take into account any other factors. The results showed that the brick containing 80% by weight of plastic waste was the best of the all trial of wood plastic composites (WPCs). https://www.journal-aquaticscience.com/article_203341.html The construction industry is witnessing a growing demand for sustainable building materials to mitigate environmental impact. This study focuses on the development of ecofriendly fly ash bricks by incorporating glass powder as a replacement for stone dust. The research explores the feasibility of utilizing glass powder, a by-product of the glass industry, as a supplementary material in fly ash brick manufacturing. Various mix proportions of fly ash, cement, stone dust, and glass powder are investigated o determine the optimal composition for producing bricks with enhanced mechanical properties. Experimental results reveal the potential of glass powder in enhancing the compressive strength, durability, and thermal insulation properties of fly ash bricks. The developed eco-friendly fly ash bricks offer a sustainable solution for the construction industry, contributing to waste minimization and environmental conservation. This research contributes to the advancement of green building materials, fostering a more sustainable built environment. https://www.journal-aquaticscience.com/article_203342.html Pervious concrete is a type of concrete with a high void content, which allows water to pass through it more easily than traditional concrete. This makes it a good choice for applications such as parking lots, sidewalks, and driveways, where it can help to reduce storm water runoff and improve water quality However, pervious concrete is also more susceptible to cracking than traditional concrete due to its high porosity. This can be a problem in areas where the concrete is exposed to heavy traffic or extreme weather conditions. Self-healing concrete is a type of concrete that can repair itself when it cracks. This is typically done by incorporating bacteria or other microorganisms into the concrete mix. When the concrete cracks, these microorganisms are activated and produce minerals that fill in the cracks and seal them. Self-healing pervious concrete is a type of pervious concrete that has self-healing capabilities. This is typically done by incorporating self-healing bacteria into the concrete mix. When the concrete cracks, these bacteria are activated and produce calcium carbonate, which fills in the cracks and seals them.q https://www.journal-aquaticscience.com/article_203343.html Retrofitting is the process of to improve te existing building structure. Retrofitting of existing structures involves strengthening or modifying the structural elements to improve their performance, durability, and safety. In retrofitting, Ferro cement strengthening techniques is technique to strengthen and repair damage of the structures. In this paper, the application of Ferro cement strengthening techniques in existing concrete slab is being investigated for its effectiveness in enhancing the structural performance, wide range of applicability and high durability. Ferrocement is the construction material consisting of wire meshes and cement mortar application of Ferrocement in constructions vast due to the low self-weight, lack of skilled workers, etc. Retrofitting is the process of increasing the seismic resistance of damaged or weak structure by appropriate techniques. Retrofitting of earthquake damaged structure is done by repairing and strengthening the damaged portions of the structure and making it reusable. Ferrocement used as retrofitting due to their easy availability, economy, durability and their property of being cast to any shape without needing significant formwork. In many circumstances, it can provide the most economical solution for a structural rehabilitation problem. The manufacturing process of Ferro cement strengthening techniques and the field application of Ferro cement strengthening techniques is very easy and selected results from experimental and analytical. https://www.journal-aquaticscience.com/article_203344.html Producing experimental bricks can be a tedious process, using the right combination of materials is something that should be taken into consideration. Not keeping this in mind will most likely result in an inevitable failure of the final product.  In this research paper, we will dive deep into what materials we have used in the production of WPC bricks. These materials will include, Maleic Anhydride, Magnesium Hydroxide, Stearic Acid, Wood Flour, PET waste (polyethylene terephthalate), etc. https://www.journal-aquaticscience.com/article_203345.html The developments of new and innovative materials are contributing significantly to the large scale such as automotive industry. Smart materials are highly efficient materials and their performance comes at high costs associated with the high level of Research & Development involved. The main aim of this paper is to study in detail about AAC concrete blocks, its performance, advantages and compared AAC blocks with red clay bricks hence recommendation given for using AAC blocks. Main ingredients include fly ash, water, quicklime, cement, aluminum powder and gypsum. The block hardness is being achieved by cement strength, and instant curing mechanism by autoclaving. Gypsum acts as a long term strength gainer. The chemical reaction due to the aluminum paste provides AAC its distinct porous structure, lightness, and insulation properties, completely different compared to other lightweight concrete materials. The finished product is a 2.5 times lighter Block compared to conventional Bricks, while providing the similar strengths. The specific gravity stays around 0.6 to 0.65. This is one single most USP of the AAC blocks, because by using these blocks in structural buildings, the builder saves around 30 to 35 % of structural steel, and concrete, as these blocks reduce the dead load on the building signific. https://www.journal-aquaticscience.com/article_203346.html The treatment of wastewater is a critical environmental issue, and phytoremediation is a promising method for addressing this challenge. This project examines the effectiveness of phytoremediation as a method for the treatment of wastewater. The paper provides an overview of the principles of phytoremediation and its various applications in wastewater treatment. The study also evaluates the performance of phytoremediation in treating different types of wastewater, including industrial, agricultural, and domestic effluents. The paper explores the factors that influence the performance of phytoremediation, such as plant selection, nutrient availability, and the presence of pollutants. Furthermore, the study highlights the advantages and limitations of phytoremediation and discusses potential strategies for improving its effectiveness. The thesis concludes by highlighting the potential of phytoremediation as a sustainable and cost-effective method for the treatment of wastewater, and it proposes directions for future research and development in this field. Overall, phytoremediation offers a promising approach for the treatment of wastewater, and its continued development and refinement could have significant environmental and economic benefit. https://www.journal-aquaticscience.com/article_203347.html Glass waste is the problematic threat to environment and also to the developing countries. In this study glass powder is used as a replacement material for stone dust. The stone dust was replaced by the glass powder in the various proportion. Million tons of waste glass is being generated annually all over the world. Once the glass becomes a waste it is disposed as landfills, which is unsustainable as this does not decompose in the environment. Two types of Fly ash bricks were casted. In first type ,only fly ash is used to prepare the brick and another type Soda lime glass replaced in stone dust bricks. The prepared bricks are cured for 7days and 14days dried in regular temperature. The tests results shows the compressive strength of the brick with 20% replacement of soda Lime glass powder revealed 3.08N/mm 2 , 4.43 N/mm 2 provokes the excellent performance. The water absorption, hardness are experimented. https://www.journal-aquaticscience.com/article_203348.html The financial performance has great importance in any firm. It is the blue print of the financial position & financial affairs. It is a techniques to measures the financial performance of bank. The main objective of financial performance measurement is to evaluate the liquidity, stability,operational efficiency & profitability of a bank. The present study focused on banking sector in terms of financial performance. The five year from 2019-2023 has been selected ratio in the bank like Credit-Deposite Ratio. Return on Asset, Capital Adequacy Ratio, Business per Employee, Profit per Employee in UCO Bank. https://www.journal-aquaticscience.com/article_203349.html In late 2018, the default by a major nonbanking financial company (NBFC) in India led to a credit crunch in the Indian economy. The crisis raises questions about the business model of NBFCs in India, and the role they play alongside banks in the economy. This paper analyzes the evolution of the NBFC sector in India over time and its importance in extending credit, and it discusses the factors that may have contributed to the 2018 crisis. The paper attempts to understand the advantages and disadvantages of the business model of NBFCs, and the drivers of their rapid rise and subsequent challenges. The paper also briefly discusses the potential impact of the coronavirus pandemic on the NBFC sector. Drawing on lessons from the past, NBFCs need to be strengthened to play an important role in India’s financial landscape. https://www.journal-aquaticscience.com/article_203350.html This research paper examines the customer satisfaction levels towards Redmi mobile phones, with a particular emphasis on Kalamb town, Maharashtra. In the ever-evolving landscape of the smartphone industry, understanding customer satisfaction is paramount for businesses to remain competitive. Redmi, renowned for its blend of affordability and quality, serves as the focal point of this study. Kalamb town, nestled in Maharashtra, provides a unique setting to delve into localized consumer preferences and behaviors regarding Redmi mobile phones. Utilizing a mixed-method approach including surveys, interviews, and observations, data is collected to uncover insights into residents’ experiences, perceptions, and satisfaction levels with Redmi devices. The study identifies key determinants of customer satisfaction such as product quality, features, pricing, customer service, and brand perception, exploring their influence on consumer behavior and brand loyalty in the Kalamb market. Findings offer valuable insights for academia and industry, contributing to marketing management literature and providing actionable recommendations for Redmi and other smartphone companies to enhance customer experiences and foster brand loyalty in local markets like Kalamb town, Maharashtra. https://www.journal-aquaticscience.com/article_203351.html This study investigates the perceptions of today’s youth towards Muslim- Khadi products, with a specific focus on Seloo Town. Khadi, a symbol of India’s independence movement, holds cultural   and   historical significance, while Muslim-owned businesses contribute to the rich tapestry of India’s diverse entrepreneurial landscape. Despite this, there is a dearth of research exploring youth perceptions towards Muslin-Khadi products, particularly in smaller towns like Seloo. Thus, this study aims bridge this gap by providing insights into the attitudes, preferences, and purchasing behavior of the youth consumers towards Muslin-Khadi products. Using a mixed-methods approach, data will be collected through both quantitative surveys and qualitative interviews with youth consumers in Seloo Town. The survey questionnaire will be designed to gather demographic information and assess factors such as awareness, perception, and intention to purchase Muslin-Khadi products. Additionally, in-depth interviews will delve deeper into the underlying motivations, attitudes, and cultural influences shaping youth perceptions towards these products. https://www.journal-aquaticscience.com/article_203352.html Purpose: To assess and analyze, the Savings and Investment Pattern of Salaried People With Reference To Wardha City via questionnaire this study examines the saving and investment patterns among salaried individuals in Wardha city, focusing on their financial behaviors and preferences. Through a survey-based approach, data was collected from a sample of salaried workers residing in Wardha. The research investigates factors influencing saving habits, investment choices, risk preferences, and future financial planning strategies. Analysis of the data reveals insights into the allocation of savings across various investment avenues, such as traditional savings accounts, fixed deposits, mutual funds, real estate, and equities. Additionally, the study explores demographic variables, including age, income level, education, and employment sector, to discern their impact on saving and investment decisions. The findings contribute to a better understanding of the financial behavior of salaried individuals in Wardha city and provide valuable insights for policymakers, financial institutions, and individuals seeking to enhance their financial well-being. https://www.journal-aquaticscience.com/article_203353.html A mutual fund is a pool of assets invested on behalf of investors. Mutual funds invest in a diversified portfolio of securities, which can include equity securities, debt securities and other financial instruments issued by corporations and governments, according to the stated investment objectives of the funds. The objective was to find out the investor perception regarding mutual funds services, to find out the investor awareness towards mutual funds, to find out factor affecting to investing in mutual fund schemes, to know what are the general sources for mutual funds schemes. Various respondents were not aware of the mutual fund products and the type of mutual fund schemes and the risk associated with mutual Fund products. To provide some kind of curriculum at the school/college level to create awareness regarding Mutual Fund. https://www.journal-aquaticscience.com/article_203354.html This study attempt to study an marketing strategies activities of Maruti Suzuki in the wardha city market. The world of marketing as moving more forward than ever. As the automotive industry witnesses heightened competition. Maruti Suzuki India Limited (MSIL), a subsidiary of Suzuki Motor Corporation, Japan is India's largest passenger car maker. The brand is known for manufacturing cars with robust build quality and low maintenance requirements, which instill confidence in buyers looking for a dependable used car. Through a comprehensive primary data collection and secondary research, this research aims to the various marketing strategy context of wardha city. https://www.journal-aquaticscience.com/article_203355.html Young generation these days are more creative and technology savvy than the older generation socially and financially. One particular question may arise on whether this generation is concerned about and aware of their financial status in the future and investment. This research seeks to examine the awareness towards investment among young generation. This study used primary data by questionnaire, and the samples chosen are the young generation aged from 18 to 28 years old. Based on our reading in the literature of awareness, there are three independent variables identified; financial literacy, personal interest, and environment that relate to the dependent variable, the awareness on investment. The objective of this is to examine the relationship awareness and the fore-mentioned independent variables. The result reveals that the key driven on investment among young generation is significantly based on independent variables selected. Finally, the limitations and recommendations are included to help further researchers to have a better finding of the result.   https://www.journal-aquaticscience.com/article_203356.html Tata Motors Marketing ways in automotive diligence. One of the most effective marketing juggernauts in the auto sector is the marketing crusade for TATA machines. Given the character of Tata Motors Corporation, it isn't delicate to understand why they're suitable to manufacture further than 4 million different styles of vehicles similar as motorcars, vans, artificial vehicles. Tata Motors Limited, meanwhile, has also been the largest auto maker in the Indian request moment. As we already know that day by day government laws are going to be stricter and it get directly effect on the future of business. We prevision a huge quantum of enhancement performing from COVID- 19. From demanding further flawless stoner services to prioritizing quality and safety functionality by purchase choices, client gesture can shift in various forms. Changing to' slow' trip and private (compared to public and/ or participated) transport will impact implicit passenger vehicle demand. https://www.journal-aquaticscience.com/article_203357.html It was in 1970 that Sanjay Gandhi envisioned the manufacture of HYUNDAI which is known popularly as the people's car it is HYUNDAI which is known to give wheels to the nation. The first car of HYUNDAI was rolled out on Dec. 14, 1983 after s collaboration with Motors. Satisfaction is a person's feeling of pleasure or disappointment resulting from a comparing perceived performance in relation to his or her expectation. If the performance falls short of expectation, the consumer is dissatisfied. The study widely concentrates on the level of satisfaction amongst customers for which I did Exploratory Research to check the satisfaction level amongst the customers of HYUNDAI as the popular punch line also says-Count on Us. https://www.journal-aquaticscience.com/article_203359.html This study delves into the intricate landscape of sales promotion strategies employed by Honda Motors, focusing specifically on the Wardha city market. As the automotive industry witnesses heightened competition, understanding the efficacy and impact of sales promotion strategies becomes imperative for sustained growth and market penetration. Through a comprehensive analysis encompassing primary data collection and secondary research, this research aims to elucidate the various sales promotion techniques utilized by Honda Motors within the unique context of Wardha city. By examining factors such as consumer behaviour, market dynamics, and competitor strategies, this study endeavours to provide valuable insights that can inform decision-making processes and enhance the effectiveness of sales promotion initiatives for Honda Motors in Wardha city and potentially serve as a blueprint for similar markets. https://www.journal-aquaticscience.com/article_203361.html One advancing technology that has been impossible to ignore lately has been the work with autonomus vehicles. These vehicles have gone from scientific curiosity to mainstream within a few short years and soon we’ll be seeing them as regular traffic on our streets. A very distinctive component in a self-driving vehicle is the spinning LIDAR sensor mounted on the top of the vehicle. This is one of the principal components in self-driving vehicles as it collects data regarding the surrounding area to allow the navigation systems to guide the vehicle safely.  https://www.journal-aquaticscience.com/article_209763.html This research delves into the intricate interplay among stress, health locus of control, and self-efficacy within the context of Asian female ovarian cancer patients. The primary objective is to explore the impact of these factors on coping mechanisms employed by individuals facing ovarian cancer. A cohort of 150 Asian female patients participated in the study, undergoing standardized psychological assessments, including the General Self-Efficacy Scale (GSES) to gauge their capacity to navigate challenging situations. The Convergence Insufficiency Symptom Survey (CISS) evaluated stress coping strategies, while the Multi-Dimensional Health Locus of Control Scale (MHLC) examined patients' perceptions of health control. The findings unveiled the nuanced coping strategies employed by Asian ovarian cancer patients. Significantly, approaches centered on tasks and socialization were found to enhance self-efficacy, underscoring the pivotal role of social support and proactive problem-solving in bolstering individuals' confidence. Conversely, delving into distressing emotions was associated with diminished self-efficacy, shedding light on the detrimental effects of fixating on emotional anguish. The study underscored the influence of health locus of control on coping strategies, with externally oriented individuals focusing on tasks, while those perceiving fate as random prioritized addressing unpleasant emotions. Moreover, a positive correlation emerged between patient self-efficacy and both internal and external health locus of control, emphasizing the significance of individuals' empowerment and external influences. The implications of the study advocate for a holistic and multimodal approach to therapy for Asian female ovarian cancer patients, recognizing the profound connection between psychological well-being and physical health. This underscores the importance of culturally and regionally sensitive psychological cancer care in Asia. https://www.journal-aquaticscience.com/article_210327.html The utilization of a linear accelerator in conjunction with an MRI holds significant promise for advancing MRI-guided stereotactic body radiation therapy. Previous studies predominantly relied on manufacturer-specified MRI sequences, particularly T2 Weighted, facing challenges in identifying organs at risk (OAR) and addressing pancreatic and intra-abdominal cancers. This research introduces a novel approach by harnessing the effectiveness of a T1 Weighted sequence to improve tumor and OAR visibility during online adapted-to-position (ATP) and adapted-to-shape (ATS) planning in MRI-guided radiation therapy. A cohort of 30 patients, including 20 with pancreatic cancer and 10 with intra-abdominal cancer, underwent simulations for planning before embarking on multi-fractionated treatment. The incorporation of T1 Weighted imaging significantly enhanced tumor and contouring precision, enabling swift and accurate planning during ATP and ATS. Plan quality for all 26 patients depended on the proximity of OAR to the target tumor, with gross tumor volume D90% and planned target volume D90% achieving 96 ± 5% and 92 ± 9%, respectively. The adoption of T1 Weighted imaging, with a reduced imaging time of approximately 120 seconds compared to 360 seconds for T2 Weighted imaging, not only minimized treatment margins for OAR sparing but also improved tumor visualization and reduced uncertainties in target/OAR demarcation. In the initial 20 patients, the average duration of MRI-guided radiation therapy was 55 ± 15 minutes for ATP and 79 ± 20 minutes for ATS. This study underscores the potential of MRI-guided radiation therapy in Asia, presenting an improved approach for addressing intra-abdominal and pancreatic cancer. T1 Weighted imaging emerges as a transformative tool, elevating visualization efficacy and streamlining the planning process, ultimately enhancing patient care and treatment outcomes. https://www.journal-aquaticscience.com/article_210609.html Psychological well-being is a multidimensional concept encompassing emotional health, personal functioning, and one’s overall satisfaction with life. It represents an individual's capacity to manage stress, maintain positive relationships, and develop a sense of purpose, balancing various life domains such as social, academic, and spiritual. This literature review synthesizes recent research on psychological well-being, with a focus on identifying gaps and proposing avenues for improvement across diverse populations. Key findings highlight the role of adaptive coping skills in managing academic stress, with factors such as self-regulation, gender roles, and parenting styles influencing well-being outcomes. Interventions, particularly in digital formats like web-based therapies, have shown promise in enhancing mental health among college students, though further exploration of mobile-based approaches is needed. The review underscores the importance of partnerships among educational institutions, policymakers, and mental health organizations to establish preventive and therapeutic mental health programs. Future studies should prioritize long-term and cross-cultural research to deepen our understanding of interventions and develop inclusive strategies for promoting psychological well-being across various settings. https://www.journal-aquaticscience.com/article_211389.html The digital banking sector has revolutionized the financial industry, offering customers unprecedented convenience and access to banking services. However, the rise of digital banking has also attracted a myriad of cyber threats, from phishing attacks to sophisticated malware, posing significant risks to financial institutions and their customers. Traditional cyber security measures, while effective to some extent, often struggle to keep pace with the rapidly evolving landscape of cyber threats. In this context, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as powerful tools in enhancing the security of digital banking systems. By leveraging advanced algorithms, AI and ML can detect, analyze, and prevent cyber threats with greater speed and accuracy than traditional methods. This research paper explores the role of AI and ML in detecting and preventing cyber threats in digital banking, highlighting their effectiveness, challenges, and future potential. https://www.journal-aquaticscience.com/article_211392.html Artificial Intelligence (AI) has become a transformative force in reshaping retail marketing trends, offering unparalleled opportunities to enhance customer experiences, optimize operational efficiencies, and improve decision-making processes. This paper explores the impact of AI on retail marketing, focusing on its role in personalizing customer interactions, automating marketing campaigns, and providing predictive analytics. Key AI applications such as chatbots, recommendation systems, dynamic pricing, and visual recognition technologies are discussed to illustrate the integration of AI into retail practices. Furthermore, the study examines the challenges associated with AI adoption, including data privacy concerns, implementation costs, and ethical considerations. By synthesizing recent advancements and industry practices, this research highlights the evolving landscape of retail marketing influenced by AI, emphasizing its potential to redefine competitive strategies and consumer engagement in the digital era. https://www.journal-aquaticscience.com/article_211596.html The trend towards online purchases continues to grow globally with significant increases in both the number of consumers and the volume of transactions. Indian e-commerce market is likely to show positive growth trend in the coming years. The study focuses on the role of persuasion and the factors related to attitude formation that leads to purchase intention among the population. The literature study covers online purchases, factors, time period from 1967 to present year. The identified variables for the study are marketer generated content, user generated content, social influence, trust, persuasion, attitude and purchase intention. The conceptual framework is proposed and is designed from the above select variables to understand the role of persuasion and its influence on attitude and purchase intention. https://www.journal-aquaticscience.com/article_211597.html Artificial Intelligence (AI) has vast potential in marketing. It aids in proliferating information and data sources, improving software's data management capabilities, and designing intricate and advanced algorithms. AI is changing the way brands and users interact with one another. The application of this technology is highly dependent on the nature of the website and the type of business. Marketers can now focus more on the customer and meet their needs in real time. By using AI, they can quickly determine what content to target customers and which channel to employ at what moment, thanks to the data collected and generated by its algorithms. Users feel at ease and are more inclined to buy what is offered when AI is used to personalise their experiences. AI tools can also be used to analyse the performance of a competitor's campaigns and reveal their customers' expectations. For this research, relevant articles on AI in marketing are identified from Scopus, Google scholar, research gate and other platforms. Then these articles were read, and the theme of the paper was developed. This paper attempts to review the opportunities and challenges of AI in marketing. https://www.journal-aquaticscience.com/article_212374.html The spread of fake news threatens the reliability of information and public trust. This paper provides a detailed review of techniques for detecting and classifying fake news using machine learning models, focusing on their performance based on key evaluation metrics. It examines advanced methods, including supervised, unsupervised, and hybrid approaches, to assess their ability to identify and classify fake news. The study also highlights feature engineering strategies, such as linguistic, content-based, and network-based features, which play a crucial role in improving model performance. Moreover, it reviews commonly used datasets, explains evaluation metrics like accuracy, precision, recall, F1-score, and AUC-ROC, and identifies existing challenges and research gaps. This review serves as a valuable resource for researchers and practitioners, offering insights to develop more accurate, efficient, and scalable fake news detection systems. https://www.journal-aquaticscience.com/article_217153.html India is rightly categorized as a common law country which has adopted the adversarial system of trials. In criminal cases, both the prosecution and the defense are represented by legally qualified persons. It is for them to command to their aid all the information in favour of the respective parties before another legally qualified person, the trial Judge, who is the pivot of the criminal justice system. Under both the adversarial system and the inquisitorial system of trial it is the trial Judge who has been given enormous powers to conduct the trials properly. The Public Prosecutor under the adversarial system is statutorily authorized to represent the prosecution while the defence counsel is authorized to do so on being permitted by the Judge. Also, the defence counsel may be allowed to put only such questions to the witnesses as may be permitted by the trial Judge. This is also the position under the inquisitional system. And it is generally asserted by both the systems that there is presumption of innocence and the burden of proof is on the person who asserts the statement. Under the adversarial system it is usually the prosecutor who makes the accusation and as such it is for him to discharge the burden of proving the accusation beyond reasonable doubt. The defence is also required to prove the facts if it has asserted them. Thus, both the systems have common features and rules of procedure. This paper tries to analyze the undue adherence to the fundamental principles and also throws light on the need for a change of outlook on presumption of innocence. https://www.journal-aquaticscience.com/article_130793.html Bycatch and discards are the serious problems of the fishing industry driving the reduction of resources and have a negative impact on biodiversity. The diverse biota of the largest delta, mangrove forest Sundarbans is utilized to a large extent as food and livelihood by the stakeholders. Tiger prawn seed collection is a key resource supply of the livelihood for Indian Sundarbans people. In course of the seed collection, assorted samples of non-target juveniles of fish species are destroyed as by-catch due to non -selective fishing gears and push nets. A total of 17 individuals, containing seven orders, ten families, were characterized. The diversity of the fish species ranged between 2.45 and 2.73 with corresponding evenness of 0.93 and 0.98. Among the fish species, the dominant species was Stolephorus dubiosus while Pseudapocryptes elongatus had the lowest abundance in the samples revealed through the non-metric multidimensional scaling (NMDS). Station Kantamari, assessed a most extreme number of prawn seed assortment during July - September, followed by Gosaba and Golabari. This study underscores the need to embrace suitable bycatch decrease gadgets in shrimp fishery, in addition, the requirement of fisheries the board guidelines in request to secure the non-target assets. https://www.journal-aquaticscience.com/article_132654.html WSNs have attached much attention in recent years. The potential application of WSNs is boundless. They are heterogeneous networks of distributed autonomous gadgets, which might monitor physical or sense or environmental condition cooperatively. They have been utilized for storing, sharing and collecting sensed data. It combines various technologies like microelectronic, computational, modern sense communication and distribution processing technology. The models of CI are effectively utilized in latest years to find numerous issues like energy aware routing, data aggregation and fusion, optimal development, security, task scheduling, and localization. We survey WSNs, mobile ad hoc network, fixed sensor networks, & cellular network. It provides optimal solution of uncertainties by the applications of adaptive critic design in power system. The aim of this survey will to define the state of art in utilizing CI models for sensor network design to detect present survey issues & recommend probable future survey directions.