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129 articles for “Loss of Control”
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Pneumatic Operated Engine
Abstract: The increasing awareness of fossil fuel depletion & environmental pollution has accelerated the need for the development of sustainable & eco-friendly alternatives to traditional internal combustion engines. Pneumatically operated engines have been identified as a potential alternative for small-scale mechanical power generation owing to their advantages of zero exhaust emissions, noise reduction & operational safety. This paper describes the design, development & performance analysis of a pneumatically operated engine, which …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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An AAV Vector for Inducible Gene Expression Preferentially in Muscles
Abstract: Adeno associated viral (AAV) vectors has been used widely in gene therapy and efforts have been made to improve their utility by adding genetic elements that would enable targeting transgene expression to particular cells or tissues of interest and permitting on/off regulation of expression. In this study, we designed a recombinant AAV9 variant PHP.eB vector with muscle creatine kinase (Mck)-derived enhancers, a synthetic muscle-expression promoter, in combination with a third-generation …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 46–61 Read article
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Chemical Composition and Antimicrobial Efficacy of Ferula persica Extracts: A Phytochemical and Bioactivity Assessment in Iraq
Abstract: The research presented in the tables focuses on analyzing the chemical content of extracts from the Ferula persica plant, a wild species in Iraq with significant medical and therapeutic importance dating back to ancient times. This study involved testing some chemical and physical properties of the alcoholic extract of the plant's aerial parts and evaluating its antimicrobial activity, specifically against Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli). The …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 10–22 Read article
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Detection of Pneumonia in COVID-19 Patients Using X-ray Images
Abstract: This study explores the use of chest X-ray image analysis and deep learning methods to identify pneumonia in COVID-19 patients. Due to the pandemic, Proper as well as immediate examination of COVID-19 is now essential for patient care and disease control. This study proposes a novel approach that uses convolutional neural networks (CNNs) to automatically predict pneumonia in COVID-19 patients using chest X-ray images. In this study, an X-ray of …
Published in International Journal of Radio Frequency Innovations · Vol. 1, Issue 1, 2023 · pp. 13–23 Read article
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Waste-Heat Recovery Systems for Sustainable Industrial Energy Management
Abstract: Industrial processes consume vast amounts of energy, often resulting in substantial heat losses to the environment. Waste-heat recovery (WHR) systems provide a viable solution to harness this otherwise lost thermal energy, improving overall energy efficiency, reducing operational costs, and contributing to sustainable industrial practices. This study investigates the design, implementation, and optimization of waste-heat recovery systems across various industrial sectors, including power generation, chemical processing, cement production, and steel manufacturing.The …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 78–84 Read article
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Understanding Food Spoilage: Mechanisms, Shelf-Life Determination, and Safety Standards
Abstract: Food spoilage poses significant challenges to the global food industry, impacting both food safety and economic sustainability. The main causes of food quality deterioration are microbial and non-microbial spoiling. Microbial spoilage primarily results from the activity of bacteria, yeasts, and molds, which thrive under favorable environmental conditions. These microorganisms can lead to food poisoning and spoilage through the production of off-flavors, discoloration, slime formation, and the accumulation of harmful toxins. …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 1, 2025 · pp. 6–9 Read article
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Association of Vitamin D Binding Protein BP rs2282679 Gene Polymorphism and Serum Levels of Vitamin D in Patients with Vitiligo
Abstract: For vitamin D to have an impact, the vitamin D receptor (VDR) must be expressed and activated in the nucleus. The VDR has several known genetic variants. Biological impacts can be caused by changes in DNA sequences known as "polymorphisms" that are common in the population. Vitiligo is a disease that causes loss of skin color in patches, and it is a chronic (long-lasting) autoimmune disorder loss of color. The …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 2, 2024 · pp. 45–52 Read article
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Healthcare IT Innovations: Blockchain Technology for Healthcare Data Security and Privacy
Abstract: The healthcare sector has undergone a significant digital transformation, leading to the generation and sharing of vast quantities of sensitive medical data. While this digitization has improved patient care and outcomes, it has also introduced critical challenges related to data security and privacy. The increasing rate of data breaches in healthcare puts patient confidentiality at risk, mainly leading to identity theft, financial fraud, and loss of public trust in healthcare …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 01–12 Read article
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article