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742 articles for “quality improvement”
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Utilization of Whey in Functional Dairy Beverages: Nutritional, Technological, and Industrial Perspectives
Abstract: The dairy industry plays a vital role in global nutrition and the economy, producing a wide range of products that contribute significantly to human health. Among its by-products, whey is generated in large quantities during cheese and paneer production and has traditionally been considered a waste material, posing environmental challenges due to its high biochemical oxygen demand. However, in recent years, whey has gained considerable attention as a valuable resource …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 15, Issue 1, 2026 · pp. 18–23 Read article
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A Comprehensive Survey of Polymer Detection Techniques and Computer-Based Analysis Methods for Advanced Material Characterization
Abstract: Polymers are widely used in aerospace, automotive, biomedical, packaging, electronics, and manufacturing industries because of their lightweight nature, durability, and versatility. Accurate polymer identification and characterization are essential for quality control, recycling, performance assessment, and the development of advanced materials. Characterization helps determine important properties such as chemical composition, molecular structure, thermal stability, mechanical strength, and surface morphology, which influence material performance and application suitability. Traditional polymer detection methods include …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 921–929 Read article
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Formulation and Evaluation of Herbal Face Serum
Abstract: The cosmetics industry has witnessed steady growth over the past decade, driven largely by an expanding youth demographic. Globally, women are increasingly conscious of their skin focusing not only complexion improvement but also wrinkle reduction and the maintenance of a youthful, radiant appearance. This trend has stimulated rising demand across a wide range of skincare products. In response, the objective of this study is to formulate, develop, and evaluate an …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 3, 2025 · pp. 30–40 Read article
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Effect of Microbial Species and Inoculum Dosage on Anaerobic Digestion
Abstract: This work aims at studying the effect of microbial species and inoculum dosage on anaerobic digestion of food waste using cattle rumen content as inoculum. Four different batch runs were carried out with different percentage inoculations which were (control sample), 25% dosage, 50% dosage and 75% dosage. To have both logical and scientific explanation why the inoculated samples had better performance than the control sample, microbial identification was carried out …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 12–23 Read article
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A Study of DCGAN-Based Generative Models for Anime Character Face Generation
Abstract: Artificial intelligence, or AI, has in recent years moved from simple rule-based systems to models that are now fully capable of creative content generation and are referred to as generative AI. One such approach for content generation, introduced in the year 2014, is called generative adversarial networks (GANs), which consists of training a generator to create fake content that tries to mimic real content as closely as possible and a …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 31–41 Read article
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Eco-Friendly Steel Making for a Sustainable Future
Abstract: The iron and steel industry is one of the most energy-intensive sectors, accounting for approximately 5% of global energy consumption and contributing around 7% of worldwide CO2 emissions. The industry's carbon footprint is particularly challenging to reduce, as carbon plays a crucial role as a stoichiometric reducing agent in conventional steel production. The reduction of iron ore during the manufacture of primary (virgin) steel is responsible for a sizable amount …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 3, 2025 · pp. 6–31 Read article
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Tools, Modern Drugs, and Latest Investigations for the Diagnosis and Treatment of Heart Failure: A Systematic Review of the General Causes
Abstract: Heart failure (HF) diagnosis and treatment present formidable challenges, given the absence of a definitive single test. This systematic literature review aims to comprehensively analyze the current landscape of diagnostic tools, modern drugs, and latest investigative approaches in HF management. Recognizing the complexity of HF etiology, this systematic review emphasizes the importance of advanced diagnostic methods, such as genetic testing and artificial intelligence applications. The systematic review was conducted to …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–10 Read article
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Ayurvedic Management of Vātadhika Vātarakta – A Case Series
Abstract: Vātarakta is a classical disorder described in Ayurveda that arises due to the simultaneous vitiation of Vāta and Rakta, resulting in a pathological condition characterized by mutual obstruction (Āvaraṇa) between these two factors. This complex interaction between Vāta and Rakta leads to a wide spectrum of clinical manifestations, making the condition challenging to diagnose and manage effectively. Among the four types of Vātarakta described in classical texts, Vātādhika Vātarakta predominantly …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 Read article
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Designing a Novel Insider Threat Model for Enhanced Cybersecurity
Abstract: Designing a novel insider threat model is a critical imperative in the realm of cybersecurity. As organizations face an ever-expanding threat landscape, insider threats, whether deliberate or inadvertent, present a formidable challenge to the safeguarding of sensitive data and critical assets. This abstract encapsulates the significance, challenges, and innovations inherent in crafting an effective insider threat model for enhanced cybersecurity. The necessity for novel insider threat models arises from the …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 24–27 Read article
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Design Optimization of Linseed Thresher for Higher Efficiency
Abstract: Linseed, a valuable Rabi crop grown for both grain and fiber, has seen rising demand across industries, boosting interest in optimizing its production processes. Recognizing this, SVCAET and RS at IGKV Raipur conducted a study focused on improving the design and efficiency of linseed threshing technology. The research aimed to develop an optimized head cut type linseed thresher, addressing both design and performance factors. Three distinct prototypes were designed, varying …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 24–32 Read article
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Review on Ferulic Acid in Cosmaceuticals
Abstract: Ferulic acid is low in toxicity and possesses a variety of physiological qualities, including anti- inflammatory, antioxidant, antibacterial, anticancer, and antidiabetic effects. Science has demonstrated that ferulic acid, a potent antioxidant, has beneficial benefits on skin care. In addition to preventing pigmentation and whitening the skin, ferulic acid also prevents acne. Ferulic acid which is a strong natural antioxidant is necessary in protecting the skin against oxidative stress caused by …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 1, 2026 · pp. 13–20 Read article
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Dental Implant Analysis Using the Wear and Hardness Testing Method
Abstract: We will compare the number of implants from the manufacturer using either an analytical approach or a software-based approach using Minitab software regarding structural dental implants. Several factors influence a dental implant, and new bone grows. The implant surface is one of the elements that have a major impact on the quality of osteointegration. Various techniques and resources have been employed to modify an implant's surface to encourage osseointegration along …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 Read article
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Enhancing the User Experience of Asthma Inhalers: A Redesign Approach
Abstract: Asthma is a widespread chronic respiratory condition impacting millions globally, presenting significant challenges in its management and treatment. While conventional inhalers effectively administer medication, they often encounter usability issues, hindering patient adherence and treatment outcomes. This abstract delineates the development and potential impact of a redesigned asthma inhaler aimed at addressing these challenges. Incorporating human-centered design principles, the revamped inhaler prioritizes usability, portability, and effectiveness to enhance the overall management …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 32–36 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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An Adaptive Approach for Real-Time Embedded System Design, Analysis and Optimization
Abstract: Real-time embedded systems are critical components in various domains, such as automotive, aerospace, healthcare, and industrial automation. The design, analysis, and optimization of these systems are vital to ensure their reliable and efficient operation. In this paper, we propose an adaptive approach for real-time embedded systems that aims to address the challenges faced during the development process while maintaining high-quality results. Our approach leverages adaptive techniques to dynamically adjust the …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
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Artificial Intelligence in Smart Dairy Farming (SDF)
Abstract: Due to increasing demand for quality of milk in dairy farming also for the sustainability, productivity and maintenance of good health of animals. various challenges are faced by dairy farmers and can be addressed using Artificial Intelligence technologies ,By using AI here the individual health ,behavior ,feed management robotic milking and stress free milking system will be implemented .AI technologic implementation will frame the Smart dairy farming in properly and …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 16–20 Read article
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Outward Material Storage Area and Dispensing Activity for Packaging Material Area
Abstract: Efficient management of outward material storage and packaging material dispensing is essential for maintaining product quality, regulatory compliance, and streamlined operations in manufacturing industries. This review examines the principles, practices, and challenges associated with the design, organization, and control of outward material storage areas, with a specific focus on packaging material handling. Key aspects discussed include layout optimization, material segregation, environmental controls, documentation practices, and adherence to Good Manufacturing Practices …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 27–32 Read article
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AI-based Drug Discovery-Revolutionizing Pharmaceutical Research
Abstract: The traditional drug discovery process is often costly, time-consuming, and prone to high failure rates. The advent of Artificial Intelligence (AI) has revolutionized this field by significantly enhancing efficiency, reducing costs, and improving success rates. AI-driven approaches, including machine learning (ML), deep learning (DL), and natural language processing (NLP), have transformed key areas such as drug target identification, molecular screening, lead optimization, and clinical trial design. AI models can analyze …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 30–44 Read article
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Enhancing Concrete Durability and Mechanical Properties for Pavement Quality Concrete (PQC) Roads Using Basalt Fiber Reinforcement
Abstract: Concrete, by nature, is brittle and has a very low tensile capacity, which is a double whammy in transportation infrastructure, such as pavement quality concrete (PQC), for roadways, where we need durability and strength. One such method is the use of basalt fibre, as it is a much better way of enhancing the road runway way performance of concrete. This research studies the impact of the addition of basalt fibres …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 266–280 Read article
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DMARDs, Biologic Agents and Novel Experimental Strategies in The Treatment of Rheumatoid Arthritis
Abstract: An inflammatory and autoimmune disease, rheumatoid arthritis (RA) causes severe pain and inflammation in affected areas of the body. According to the report, there is no known cure for RA. Therefore, reducing discomfort and halting future harm must be the goals of present therapy. For the purpose of prevention and to reduce disease activity in RA patients, significant success has been achieved with the continued development of disease-modifying antirheumatic drugs …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 14–24 Read article