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195 articles for “tool path”
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In-vitro assessment of plant growth promoting traits integrated with antagonistic activity of biosurfactant producing Bacillus species of oil contaminated soil
Abstract: Researchers are in search of microbial tools having plant growth promoting activity integrated to biosurfactant production potential to develop eco-friendly technique for sustainable agricultural. Presented study was undertaken to characterize the plant growth promoting activity of biosurfactant producing Bacillus species isolated from oil contaminated soil. Bacterial strains were identified as Bacillus licheniformis P1 and Bacillus velezensis P2, on the basis of morphological, biochemical and 16SrDNA gene sequence homology. Biosurfactant producing …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 12, Issue 3, 2022 · pp. 30–34 Read article
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Design and Analysis of MAC Unit Using Single Precision Floating Point Vedic Multiplier
Abstract: Multiplication and accumulation are the basic operations which are important in several microprocessors and digital signal processing (DSP) applications to execute dedicated algorithms. Developing high speed MAC is essential for real time DSP application. The MAC unit determines the speed of the overall system and it lies in the critical path. As the demand for high speed design is continuously increasing, the studies related to the field of multipliers and …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 3, 2018 · pp. 28–35 Read article
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The Future of Machining: Automation and Robotics in Modern Tools and Mechanics
Abstract: With the inclusion of automation and robots in current tools and mechanics, machining has undergone a substantial evolution. While robots has made it possible to automate difficult and repetitive jobs, automation has enhanced productivity, minimized errors, and increased regularity. Automation and robotics in machining have highly improved the industrial sector, delivering in more productivity, reduced prices, and better product quality. Automation and robotics will likely be used in machining increasingly …
Published in Trends in Mechanical Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 29–33 Read article
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Structure–Property-Guided Polymer–Metal Hybrid Design of a Wall Plastering Spray Assembly
Abstract: Wall plastering spray equipment requires a combination of low mass, dimensional stability, abrasion resistance, chemical compatibility with cementitious mortar, and comfortable operator interaction. The original assembly was primarily developed as a metallic mechanical system; however, a polymer-focused material architecture can reduce non-load-bearing mass while retaining a safe metallic pressure path. This study, therefore, presents a structure–property-guided polymer–metal hybrid design in which the pressure housing and nozzle insert remain metallic, whereas …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 197–211 Read article
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Federated Learning for Privacy-Preserving AI Model Training Across Distributed Healthcare Systems
Abstract: Building effective AI diagnostic tools in clinical environments presents a fundamental contradiction — the patient data most critical to model performance is precisely the data subject to the strictest legal and institutional restrictions. Regulations such as HIPAA and GDPR, while essential for protecting patient rights, render conventional centralized training pipelines largely impractical in real hospital settings where data cannot be transferred, pooled, or shared across institutional boundaries. This paper presents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Negative Pressure Wound Therapy and Intermittent Irrigation with Systemic Antibiotic Suppression followed by One-stage Revision in Delayed Periprosthetic Hip Infection Cases: Reinfection Rate
Abstract: Background: Success rate of one-stage revision remains controversial in patients with delayed periprosthetic joint infection after primary cementless hip arthroplasty. We evaluated the reinfection-free efficacy of negative-pressure wound therapy (NPWT) and intermittent pulsatile irrigation (IPR) using chlorhexidine/povidone iodide combined with systemic antibiotic suppression (SAS) followed by one-stage exchange procedure with NPWT in those patients. Materials and Method: Reinfection rate was assessed in randomly selected forty-two cases (group A) with NPWT-IPR-SAS …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 2, 2022 · pp. 7–15 Read article
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Revitalization of Regional Water Schemes in Nigeria: Current Issues and Policy Recommendations
Abstract: It is a fundamental human right to have access to clean, reliable water, but in Nigeria, inadequate regional water schemes and their decline have created a serious water crisis. This paper highlights the critical issues facing regional water schemes in Nigeria and proposes a path forward for revitalization. The issues are multifaceted, encompassing aging infrastructure, insufficient maintenance, mismanagement, population growth, and environmental challenges. These issues have contributed to a decline …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 8–19 Read article
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Gene Editing in Dairy Cows: Advancing Milk Yield, Health, and Resilience for Sustainable Dairy Development
Abstract: Gene editing has emerged as a transformative tool in dairy science, offering unprecedented opportunities to enhance productivity, improve animal health, and bolster resilience against environmental challenges. This study explores the potential of gene editing technologies, including CRISPR-Cas9, in advancing milk yield, optimizing milk composition, and addressing genetic disorders in dairy cows. Specific applications include targeting genes associated with mastitis resistance, improving feed efficiency, and introducing heat tolerance traits to adapt …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Strategies for Flood Mitigation
Abstract: The world has always experienced change. Water-too much or too little is the most common cause of migration and a city's downfall. The notable and significant distinction right now is that we are seeing it in real-time for the first time in human history. We contributed to the dangers that were produced, and we contributed to the remedies that will influence the pace and scope of change and disruption. We …
Published in International Journal of Rural and Regional Development · Vol. 1, Issue 1, 2023 · pp. 1–9 Read article
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Catalytic Activity Advancements in Organometallic Chemistry
Abstract: Organometallic chemistry is essential to catalysis and synthesis, helping to shape a wide range of chemical reactions. The study of the interactions between organic compounds and metal elements is known as organometallic chemistry. Modern synthetic chemistry and catalysis have been greatly influenced by the field of organometallic chemistry. It entails the investigation of substances that have metal-carbon bonds because they can have special catalytic and reactive qualities. Applications for these …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 2, 2023 · pp. 10–25 Read article
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Development of a Polymeric Detection System for Salivary Annexin-1: A Potential Tool for Point-of-Care Diagnostics in Periodontal Disease
Abstract: Salivary annexin-1, a protein with anti-inflammatory properties, has emerged as a potential biomarker for periodontal disease. However, current detection methods, like ELISA, are often complex and require laboratory settings. This study explores the development of a novel polymeric detection system for the rapid and sensitive identification of salivary annexin-1. This system could leverage the unique properties of polymers to create a point-of-care diagnostic tool for: (1) early detection and monitoring …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 101–110 Read article
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Optimizing Manufacturing Processes with Taguchi Method in Production Engineering
Abstract: The Taguchi Method, pioneered by Genichi Taguchi, stands as a powerful optimization tool within the realm of production engineering. This paper delves into the principles, applications, and significance of the Taguchi Method in enhancing manufacturing processes. With a focus on minimizing variation and improving performance, this methodology plays a crucial role in addressing challenges faced by industries in their pursuit of operational excellence. The core components of the Taguchi Method, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Biosynthesis of Zinc Oxide Nanoparticles and Their Revolutionary Impacts on Agroindustry: Review
Abstract: Nanotechnology is a new approach of science which provides alternative tool in many fields including agriculture. This comprehensive review focuses on the biosynthesis and characterization of zinc oxide nanoparticles (ZnO NPs), highlighting their vast potential in agroindustry applications. Unlike traditional physical and chemical methods, which are often costly, time-consuming, and involve hazardous materials, this review explores the promising biological synthesis routes, offering a more sustainable and eco-friendly alternative for producing …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 2, 2024 · pp. 33–50 Read article
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Enhanced Sustainable Concrete Mix Design Using LLMs and Advanced Machine Learning Techniques
Abstract: Large Language Models (LLMs) are emerging as transformative tools in materials science, offering human-like reasoning, zero-shot problem solving, and the ability to integrate fuzzy laboratory knowledge with structured data. This study extends and reinterprets the original systematic benchmark for using LLMs in sustainable concrete design, particularly for Alkali-Activated Concrete (AAC). We introduce an enhanced, multi-model framework combining LLM-based inverse design, Random Forest regression, Gaussian Process Regression (GPR), and a lightweight …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 26–33 Read article