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181 articles for “pattern investigation”
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Patient Profile and Antimicrobial Susceptibility Testingin Clinical Isolates of Staphylococcus aureus
Abstract: INTRODUCTION: Staphylococcus aureus is a gram-positive bacterium capable of causing various infections, ranging from minor skin infections to serious bloodstream infections. The rise of methicillin-resistant S. aureus (MRSA) strains has made treating these infections more challenging, as MRSA is frequently resistant to several types of antibiotics.. OBJECTIVE: The aim of this study was to investigate the patient profile and antimicrobial susceptibility patterns of clinical isolates of S. aureus in a …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 2, 2024 · pp. 31–38 Read article
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Ventilator Associated Pneumonia: Prevalence of Bacteria and their Antibiogram in Tertiary Care Centre, Kota, Rajasthan, India
Abstract: Background: Mechanical ventilation is a life-saving procedure, but it is associated with a high risk of acquiring respiratory infections. Hence to prevent it and initiate empirical antimicrobial therapy, knowledge of microbial profile and their local antimicrobial sensitivity pattern are essential. The study aimed to investigate the role of endotracheal aspirate (ETA) surveillance cultures in identifying the aetiology of VAP earlier. Methods: A prospective study was carried out over a period …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 11, Issue 1, 2021 · pp. 30–34 Read article
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Influence of Infill Density on Structural Performance of FDM-Processed PET-G Polymer: Experimental Validation through Quadcopter Flight Testing
Abstract: Polyethylene terephthalate glycol-modified (PET-G) is an amorphous thermoplastic copolymer increasingly adopted in structural applications through fused deposition modeling (FDM). However, the correlation between FDM processing parameters, especially infill density, and mechanical performance of PET-G parts remains inadequately characterized under real-life loading conditions. This study investigates how infill density (10% and 30%, grid pattern) influences the structural integrity of FDM-processed PET-G components, validated experimentally through quadcopter airframe fabrication and flight testing. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 644–656 Read article
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Bonding Strength Characteristics of FRP Cylindrical Composites Under Hygrothermal Loading
Abstract: This study investigates the bonding strength characteristics and stress distribution patterns in fiber-reinforced polymer (FRP) cylindrical composites subjected to hygrothermal loading conditions. A four-phase cylindrical model incorporating AS-Graphite and S-Glass fibers with low modulus epoxy coating was analyzed under four distinct pressure loading conditions (25.984, 38.976, 77.953, and 155.906 MPa). Comprehensive stress analysis revealed significant variations in von-Mises stress, maximum principal stress, and minimum principal stress across fiber, coating, matrix, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 950–967 Read article
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Analysis of a Dual Band Stacked Patch Antenna with Multiple Notches
Abstract: This paper presents the design and analysis of compact dual band stacked microstrip patch antenna for various applications. The designed antenna structure represents the dual frequency band operation and it covers the S band, frequency applications such as Wi-Fi, surface ship radar, weather radar, broadcasting in the range from 2.31GHz to 3.77GHz frequency band, radar, satellite based digital audio radio service (DARS) communication and some communication satellites. The parameters of …
Published in Journal of Microwave Engineering and Technologies · Vol. 4, Issue 1, 2017 · pp. 23–28 Read article
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The Inappropriate Application of Medication in the Context of Surgical Procedures: A Review
Abstract: The initiation of substance abuse frequently commences during adolescence, a critical developmental period. Extensive research has consistently revealed a pronounced connection between drug use and the consumption of cigarettes and alcohol. Understanding the prevalence of substance abuse, with a specific focus on the use of cigarettes and alcohol, is paramount in formulating effective strategies for prevention and control of drug consumption. Therefore, embarking on an initial exploration of the prevalence …
Published in Research and Reviews : Journal of Surgery · Vol. 12, Issue 3, 2023 · pp. 27–32 Read article
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Structure–Property Correlation of Infill Topology and Density on Tensile and Flexural Performance of FDM-Printed PLA and ABS
Abstract: Additive Manufacturing (AM), particularly Fused Deposition Modeling (FDM), has become a widely adopted manufacturing technology due to its design flexibility, low cost, and capability for rapid prototyping. However, the mechanical performance of FDM-printed components is strongly influenced by internal structural parameters such as infill pattern and infill density, in addition to the intrinsic material behaviour. This study investigates the structure–property relationship between infill topology, density, and mechanical performance of PLA …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 26–37 Read article
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Multifunctional and Photocatalytic Properties of DyFeO₃/Dy₃Fe₅O₁₂ Biphasic Nanoparticles
Abstract: Rare-earth orthoferrites constitute a class of compounds that exhibit remarkable magnetic, optical, and electronic properties across a wide temperature range. In the present study, a dysprosium-based orthoferrite containing dual phases of DyFeO₃ perovskite and Dy₃Fe₅O₁₂ garnet was successfully synthesized via the co-precipitation technique. X-ray diffraction (XRD) analysis was employed to investigate the structural configuration of the synthesized material. The diffraction pattern confirmed the formation of a biphasic composite comprising orthorhombic …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 41–54 Read article
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The Impact of AI-Driven Decision-Making on Consumer Behavior and Sustainable Consumption Patterns in Modern Management
Abstract: The accelerating integration of Artificial Intelligence (AI) into business management systems has fundamentally transformed the dynamics of consumer decision-making and organizational marketing strategies. This paper investigates the multidimensional impact of AI-driven technologies, including predictive analytics, recommendation engines, chatbots, natural language processing, and machine learning algorithms, on consumer behavior and sustainable consumption patterns within contemporary management frameworks. Drawing upon a comprehensive synthesis of empirical studies, theoretical literature, and bibliometric analyses, the …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 12–19 Read article
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Advances in Nanoformulations for Targeted Drug Delivery Systems
Abstract: The work examines modern nanoformulations used for enhancing targeted drug delivery systems that simultaneously produce better therapeutic effects with reduced adverse effects. The pharmaceutical industry achieved deliverable drug development progress through diverse nanocarrier innovation which encompasses liposomes and nanoparticles and dendrimers and micelles. Tissue and cell-based directed delivery becomes possible via this technology to enhance the management of neurological disorders and cancer diseases. The investigation analyzes different nanoformulations by reviewing …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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A Novel Mathematical Exploration of Fractal Dynamics in Hyperbolic Spaces
Abstract: This research paper presents an original study on the behavior, generation, and properties of fractal structures within hyperbolic geometry. Unlike classical Euclidean fractals, hyperbolic fractals demonstrate accelerated boundary complexity and distinct scaling symmetries due to the curvature of the underlying space. The paper proposes new iterative models, analyzes geometric invariants, and explores potential applications in data visualization, network science, and theoretical physics. This research paper conducts an in-depth investigation into …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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Early Detection of Heart Disease using Machine Learning Techniques
Abstract: Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 34–45 Read article
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Serum Hepcidin Status of Sickle Cell Disease Subjects with Multiple Blood Transfusion in Nigeria
Abstract: Objectives: No effective physiological mechanism for excess iron excretion is known in humans. Conditions such as sickle cell disease (SCD), where red blood cell transfusion is a frequently employed therapy can subsequently result in ready accumulation and circulation of exogenous iron as non-transferrin bound iron in tissues with possible impairment of iron homeostasis in them. Aim: The influence of multiple blood transfusions on the patterns of iron homeostasis in correlation …
Published in Research and Reviews: A Journal of Medicine · Vol. 9, Issue 2, 2019 · pp. 1–9 Read article
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Comparative Study of PSC Spun Pole using Higher Grade Concrete without and with Discontinuous Glass Fiber
Abstract: This experimental study was carried out on the prestressed concrete spun pole of length 13 m with and without use of anti-crack discontinuous glass fiber in high-strength concrete. The pole is having outer diameter at top and bottom as 206 mm and 379 mm respectively. The pole is having thickness 50~55 mm. The investigations were done to study the effect of use of high dispersion discontinuous glass fiber on deflection …
Published in Journal of Structural Engineering and Management · Vol. 1, Issue 1, 2014 · pp. 1–6 Read article
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Investigating the Role of Ontologies to Develop Augmented Intelligence Applications
Abstract: This paper presents about knowledge representation utilizing ontologies to empower augmented intelligence (AUI) for Systems Engineering. Innovation patterns show new strategies and apparatuses for advanced designing will fuse AUI. Machine learning (ML) methods uphold arrangement, bunching, and affiliation distinguishing proof, yet battle to explain the reasoning for dynamic knowledge entities and their crucial representation. Knowledge representation assumes a critical part in applying this kind of Artificial Intelligence (AI). Ontologies equip …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 2, 2022 · pp. 11–16 Read article
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Navigating the Challenges of COVID-19: A Guide for Mental and Behavioural Health
Abstract: The COVID-19 epidemic has posed unique encounters globally, impacting various aspects of daily life, including mental and behavioral health. The present study attempts to prepare a guide with ways and means to navigate the challenges of the COVID-19 pandemic. This guide provides comprehensive insights and strategies for individuals to navigate these challenges effectively. The study began by addressing the psychosomatic effect of the pandemic, such as increased anxiety, depression, PTSD, …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 1–15 Read article
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Improving Dataset Integrity Through Automated Data Cleaning Techniques
Abstract: High-quality data is a fundamental requirement in data science for producing trustworthy analytical insights and effective machine learning models. Problems, including incomplete records, inconsistent entries, duplicate observations, and anomalous values, can severely reduce the accuracy and robustness of predictive systems. As modern datasets continue to expand in both volume and structural complexity, relying on manual data cleaning methods become time-consuming and error-prone, highlighting the growing importance of automated data preprocessing …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 40–45 Read article
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Parametric Effect on the Mechanical Property of Extrusion-Based 3D-Printed Parts
Abstract: Material extrusion-based 3D printing, a prevalent and economical approach for producing complex geometries, heavily relies on acrylonitrile butadiene styrene due to its advantageous mechanical properties and dimensional stability. Nevertheless, the mechanical integrity of 3D-printed components is considerably impacted by process variables. This research investigates the implications of critical parameters – layer height (LH), infill percentage (IP), and infill pattern design (IPD) – on the tensile, compressive, and flexural strength of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 160–170 Read article
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The Augmented Role of DIF on Diagnosis of Glomerular Disease in a Study in Northern Part of Bangladesh
Abstract: Introduction: Direct immunofluorescence (DIF) study is an important investigation tool for the accurate diagnosis of glomerulonephritis (GN). This study was aimed to evaluate the pattern of glomerular diseases in the northern part of Bangladesh and to see the advanced role of DIF over light microscopic (LM) findings for accurate diagnosis of various glomerular diseases. Methods: This cross-sectional analytical study was carried out in the department of nephrology of Rangpur medical …
Published in Research and Reviews : A Journal of Immunology · Vol. 8, Issue 3, 2018 · pp. 32–36 Read article