Volume 13 | Issue 5 |

 Abstract

Glass Fiber Reinforced Concrete (GFRC) has emerged as a transformative material in the construction industry, offering enhanced performance properties compared to conventional concrete. This study comprehensively reviews the applications and benefits of GFRC in modern construction practices. Through analysis of existing literature and case studies, this paper explores how GFRC provides superior tensile strength, crack resistance, durability, and design flexibility while reducing overall structural weight. The review examines GFRC's growing implementation in architectural facades, precast elements, restoration projects, and sustainable construction. Findings indicate that GFRC delivers significant advantages in terms of structural performance, aesthetic versatility, economic efficiency, and environmental sustainability, positioning it as an increasingly valuable solution for contemporary construction challenges despite certain limitations related to cost and specialized production requirements.

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 Keywords

Glass fiber reinforced concrete, modern construction, sustainability, architectural applications, durability, lightweight structures

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT Herbal face gels are gaining popularity in skincare for their lightweight, non-greasy formulations that provide hydration and various skin benefits without the heaviness of creams or lotions. The main goal was to develop a multipurpose skincare gel that offers antioxidant benefits along with anti-aging, anti-hyperpigmentation and hydrating properties while having fewer negative effects than synthetic products. Here the key ingredients such as wheatgerm oil, liquorice and aloe vera were combined to create the formulation in a gel base consisting of Tween 80 (emulsifier), glycerine (humectant) and Carbopol 940 (gelling agent), stabilized with tartaric acid and sodium benzoate as preservatives. The gel's pH was set between 5.5 and 6.5 to guarantee skin compatibility. Three formulations were made by slightly varying the concentration of the ingredients and organoleptic characteristics such as appearance, texture and spreadability, as well as pH, stability and antioxidant property, were assessed for the gel. The second formulation had an optimal pH, silky consistency and excellent spreadability and homogeneity. It had a smooth, non-sticky texture with off-white appearance that was perfect for topical application. Thus according to the findings, the second formulation was found to be the most reliable, safe and effective skincare product that works well for a variety of skin types.

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Key words: Herbal face gel, Wheatgerm oil, Aloe vera, Liquorice extract, Anti-Hyperigmentation, Antioxidant, Skincare.

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Creative Commons Attribution 4.0 and The Open Definition

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eq[; 'kCn%& LokLF;] lkekftd] laosxkRed] 'kSf{kd] lek;kstu] vkRe fu;ked

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The events and experiences that humans experience in life are formed into literature. They are able to express human emotions. Literature is an attempt to impress the speaker's opinion on the listener's mind. In this way, Sangam literature describes the feelings of the people of the Sangam period with an aesthetic sense. Poets have used many techniques in their songs. Interjections have been used in Natrinai, which derives from one of the parts of Agapporul 'Thinai' and the prefix 'Nal'. Interjections are located in Natrinai songs in a way that explains the poet's opinions. The purpose of this study is to explain the fields such as varaivu kadavuthal, leader addressing the chariot driver, vayil maruthal through interjections used in Nattrinai.

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Isai Nirai, Asai Nirai, Tatham Kurippil Porul Tharuvana, Mo, Mathi, Thil, Koll, Eetru, Amma, A, Kurai, Varaivukkadavuthal, Vaail Maruthal.

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financial leverage, DuPont analysis, ratio analysis, profitability, operational efficiency, asset turnover, cost control, and Return on Equity (ROE) for AI Airport Services Limited

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The focus of the present study is to develop and characterize mouth dissolving tablet of Erlotinib hydrochloride. Erlotinib Hydrochloride, a strong antineoplastic drug utilized in the treatment of numerous cancers, presents significant formulation difficulties due to its poor water solubility and unpleasant taste. This research focuses on the development and characterization of a mouth dissolving tablet (MDT) formulation of Erlotinib Hydrochloride aimed at raising patient compliance and therapeutic efficacy. The formulation employs a ?-cyclodextrin inclusion complex established via the method of kneading to minimize the drug's unpleasantness and improve its solubility. The optimized complex, with a drug-to-?-cyclodextrin ratio of 1:2, was incorporated into MDTs using the direct compression technique. Comprehensive pre-compression evaluations, including measurements of bulk density, tapped density, Carr's index, Hausner's ratio, and angle of repose, were performed to ensure suitable powder flow. Post-compression parameters such as tablet weight variation, hardness, friability, disintegration time (goal <30 seconds), and in vitro dissolution (evaluated in phosphate buffer 7.4, pH 7.4) were subsequently examined. Characterization tests, including UV and FTIR analysis, confirmed the effective development of the inclusion complex without any chemical interaction between the drug and excipients.The optimized formulation exhibited rapid disintegration, satisfactory mechanical strength, and an enhanced dissolution profile compared to the pure drug, thereby demonstrating effective solubility improve and improved bioavailability. For mask the inedible taste of drug ?-cyclodextrin inclusion complex prepared and additionally added the polymer Kyron T-314 that act as a taste masking agent and also superdisintegrant. These findings suggest that the developed mouth dissolving tablet of Erlotinib Hydrochloride is a promising dosage form for cancer therapy, particularly for patients with swallowing difficulties. Future work will maybe involve scale-up studies and in vivo evaluation to further validate the clinical potential of this formulation

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Erlotinib Hydrochloride; ?-cyclodextrin inclusion complex; Kyron T-314; Mouth Dissolving Tablet.

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The current study was carried out with the aim to isolate Staphylococcus aureus from various milk samples collected from different area of Akola and Khamgoan and determine the antibiogram pattern of S. aureus isolates. in this study, the hygiene of milk product containers was significantly associated with the occurrence of S. aureus due to the poor-quality milk product containers used (30.77%). The prolonged use of poor-quality plastic materials for handling milk products was common in milk collection centers and among farmers presenting milk products to the markets. Utensils used for milking and storage determine the safety of milk and milk products. The current study was carried out with the total 20 milk samples collected from home, daries of different areas of Khamgoan and Akola. The identification of Staphylococcus aureus in the given sample is based on their morphological characteristics. Staphylococcus aureus was frequently encountered from milk samples.

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Milk, Microbial contamination, Spoilage Public, health risks, Pathogens, Salmonella, Brucella, Staphylococcus aureus (S. aureus), Antibiotic resistance.

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Creative Commons Attribution 4.0 and The Open Definition

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Advanced Driver Assistance Systems (ADAS) are critical for reducing accidents and improving driving performance. This project develops a deep learning-based ADAS using a hybrid model combining YOLOv8 and VGG16 to enhance detection accuracy. YOLOv8 performs real-time object detection, identifying vehicles, pedestrians, and obstacles with high precision, while VGG16 improves lane detection and road sign recognition. This combination strengthens vehicle perception and decision-making capabilities. The system integrates features like obstacle detection, driver monitoring, and adaptive cruise control, processed through a high-performance computing setup. By leveraging deep learning and neural networks, our approach enhances detection accuracy, minimizes false positives, and ensures timely driver assistance. This advancement not only improves driving safety but also brings ADAS closer to the reliability needed for autonomous driving, paving the way for future innovations in the automotive industry.

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Advanced Driver Assistance Systems (ADAS) ,Deep Learning ,YOLOv8 ,VGG16 ,Object Detection, Lane Detection, Road Sign Recognition ,Vehicle Perception , Driver Monitoring ,Adaptive Cruise Control, Neural Networks, Real-Time Detection, Autonomous Driving ,Automotive Safety , Hybrid Deep Learning Model ,Obstacle Detection , High-Performance Computing Artificial Intelligence in Automotive , Smart Vehicles ,Traffic Safety Technology

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The process of interaction within digital environments and the possibility of need expression remains a worldwide obstacle for people who have severe mobility challenges. The existing eye-tracking technologies remain unaffordable and complex which keeps them out of reach for the majority of users. The proposed system uses existing webcam iris tracking technology in combination with MATLAB image processing to achieve affordable and user-friendly data input operations. The developed system brings together live gaze tracking and predefined eye movement pattern detection to create a hands-free interface that also warns guardians. The project executes a three-component architecture which involves iris identification followed by gaze positioning and pattern recognition which sends notifications. The system design enables users to communicate with their eyes as alternative to conventional input tools. Safety and independence are key priorities in this system because it brings together an adaptive calibration process with strong eye-tracking algorithms and straightforward eye-controlled user interface capabilities. The system uses encryption of user-specific settings to maintain profile protection together with modular data processing to achieve accurate operational functionality. Through its solution the mobility-impaired gain more independence by achieving both self-governance and instant caregiver communications. The combination of Assistive technology with Pattern recognition systems and Image processing and MATLAB application leads to Gaze detection and Caregiver alert functions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Eye-tracking, Gaze detection, Assistive technology, Pattern recognition, Caregiver alert, Image processing, MATLAB.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Vikshit Bharat @2047: Prathmik Siksha Ke Sandharbh Me

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Vikshit Bharat @2047: Prathmik Siksha Ke Sandharbh Me

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Creative Commons Attribution 4.0 and The Open Definition