Search
365 articles for “experimental approaches”
-
Searching Substring in O(n) Time Complexity
Abstract: This research paper presents a highly efficient algorithm for substring search within a given string, achieving a remarkable time complexity of O(n). The proposed algorithm utilizes a two-pointer approach to compare the given string with the targeted substring. By employing string concatenation, the algorithm dynamically constructs a resultant substring during the matching process. Upon completion of character matching, the algorithm compares the resultant substring with the targeted substring and returns …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 9–15 Read article
-
Exploring Potential Phytochemicals for Myasthenia Gravis Treatment: A Molecular Docking and ADME Analysis Approach
Abstract: Objective: Muscle feebleness and exhaustion derived from a disruption in neuromuscular transference are hallmarks of the crippling autoimmune disease myasthenia gravis (MG). The drawbacks of the current MG therapy options are frequently partial efficacy and adverse effects. To investigate the potential of phytochemicals in MG control, in this work we integrated molecular docking with ADME (absorption, distribution, metabolism, and excretion) analysis using a computer method. We identified molecules exhibiting favorable …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 1–13 Read article
-
Polymer-Based Nanocomposite Coatings for Enhancing Solar Photovoltaic Panel Efficiency
Abstract: Environmental factors such as dust deposition, ultraviolet (UV) radiation, and surface reflection significantly reduce the performance of solar photovoltaic (PV) modules. This study investigates the development and performance evaluation of polymer-based nanocomposite coatings designed to improve the optical and surface properties of PV panel glass. A hybrid nanocomposite coating containing TiO₂ and SiO₂ nanoparticles dispersed in a polymethyl methacrylate (PMMA) matrix was synthesized using the sol–gel technique and deposited through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 490–497 Read article
-
Impact of Back Massage on Anxiety Levels in Patients Undergoing Orthopedic Surgery
Abstract: Objectives: The objective of the study was to assess the pre- and post-test levels of anxiety in patients who underwent orthopaedic surgery in both the experimental and control groups, to evaluate the effectiveness of back massage in reducing anxiety among patients in the experimental group, and to explore the association between anxiety levels and selected demographic variables in these patients. Research approach: The aim of the study was to evaluate …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 35–57 Read article
-
Experimental Assessment and Statistical Argument of Al-Si/CSA/MoS2 Hybrid Composites for Mechanical and Tribological Characteristics
Abstract: To augment the mechanical and tribological properties of Al-Si matrix composites complement with molybdenum disulphide (MoS₂) and coconut shell ash (CSA), a mixed experimental and Face-Centered Composite (FCC)strategy was employed. A liquid metallurgical method called stir casting was used to create hybrid composites with 5–15 wt.% CSA and 1–3 wt.% MoS₂. A FCC experimental design with thirty runs was used to thoroughly evaluate the materials. This design allowed for the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 792–802 Read article
-
Effectiveness of a Planned Teaching Programme on Primigravid Mothers' Awareness of Specific Natural Pain Relief Techniques Used During Labor in Particular Bangalore Hospital
Abstract: Background: Pain is an exciting sensation and is caused by the stimulus during labor. Always Pain plays a major role in labor in empowering the women, whereby they triumph by giving delivery to the newborn. Objectives: Assess the knowledge level about selected natural pain relief methods. Methodology: A quantitative research approach and the design used in this study was a pre-experimental research design. Sixty primigravid mothers were selected for the …
Published in International Journal of Midwifery Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 9–16 Read article
-
A Novel Secure Cloud Storage Solution: Combining AES-OTP, RSA, and Time-Limited Access Control with Adaptive Key Management
Abstract: The reliance of cloud computing on the data processing and storage structure creates serious security risks. Ensuring availability, security, and integrity of data in cloud settings becomes a challenge for both the individual and the enterprise. This paper will, therefore, introduce a novel Hybrid Cryptographic Framework that combines RSA, One-Time Pad (OTP), and AES as a means of enhancing data security in cloud storage. It employs RSA for secure key …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 11–20 Read article
-
Enhancing Nursing Education Through AI-Driven Adaptive Learning Systems
Abstract: The integration of Artificial Intelligence (AI) in nursing education offers significant potential to enhance learning experiences by personalizing education, improving knowledge retention, and developing clinical competencies. This study evaluates the effectiveness of AI-driven adaptive learning systems compared to traditional lecture-based teaching methods in nursing education. A mixed-methods approach was used, with 200 nursing students participating in a quasi-experimental design. The intervention group (100 students) used AI-powered adaptive learning platforms for …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 29–34 Read article
-
An Evaluation of the Impact of Video-assisted Teaching on School Children's Knowledge of Safe and Unsafe Touch in Selected Schools of Bangalore
Abstract: The aim of the research was to educate school-aged children about the concepts of good touch and bad touch, enabling them to protect themselves in potentially harmful situations. A quantitative research method was employed using a pre-experimental, one-group pre-test post-test design. This approach was used to evaluate the effectiveness of a video-assisted teaching program on this subject. The study included 70 school children from selected schools in Bangalore, chosen through …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 1–8 Read article
-
Effectiveness of a Structured Teaching Programme on Knowledge and Attitude Regarding the Causes, Transmission, and Prevention of Sexually Transmitted Infections Among Rural Women in the Field Practice Area of RHTC, Yadwad, Dharwad District
Abstract: Sexually Transmitted Infections (STIs) pose serious long-term health risks, particularly for women and newborns. Women in rural areas often face significant social consequences due to inadequate STI awareness, which can lead to unsafe sexual practices. This study aimed to assess the knowledge and attitudes of rural women aged 15 to 49 years regarding the causes, transmission, and prevention of selected STIs in the RHTC Yadwad field practice area. Additionally, the …
Published in International Journal of Women's Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 51–78 Read article
-
Experimental Exploration of Crack and Damage Dynamics of Hybrid FRP Nano Composites
Abstract: Fiber-reinforced polymer (FRP) composites have become essential materials in modern engineering structures because of their excellent strength-to-weight ratio, corrosion resistance, and adaptability in design. Among different fracture modes, Mode I interlaminar fracture where cracks propagate under tensile opening stresses is one of the most critical forms of damage in layered composites. Since delamination occurs within the matrix-rich regions between plies, improving the matrix properties plays a key role in enhancing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 220–232 Read article
-
Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
-
Taguchi Method: A New Approach for Evaluating and Optimizing Parameters of TIG Welding
Abstract: The construction and industrial sectors must improve the quality of their welds. An experimental plate fabricated of SS304L was to be tungsten inert gas (TIG) welded in this experiment, and an effort was made to enhance the mechanical properties. The Taguchi L9 orthogonal array was used to organize the experiment, and the mechanism of advancement was used to simulate the performance. The tensile strength of the welded junction rises in …
Published in Journal of Polymer & Composites · Vol. 11, Issue 2, 2023 · pp. 121–129 Read article
-
NanoBioAI: Utilizing Python to Investigate Magnetocaloric Effects in Magnetotactic Bacteria and Optimized Conditions for Thermotherapy
Abstract: The study presented in the research work represents a multidisciplinary approach, integrating biology, nanotechnology, and artificial intelligence. It specifically highlights the use of python computational power to investigate magnetocaloric effect (MCE) in magnetotactic bacteria (MTB), a phenomenon yet to be fully understood, characterized by reversible heating and cooling effects induced by magnetic fields. MTB are unique in that they contain embedded magnetic nanoparticles ranging from 10–100 nm in diameters. These …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 122–131 Read article
-
Advancements in Metal-Plastic Hybrid Structures: Experimental Analysis and Design Optimization of 3D-Printed Honeycomb Frameworks
Abstract: The exploration of metal-plastic hybrid structures has gained significant attention due to their potential for lightweight, high-strength applications across industries such as aerospace, automotive, and construction. This study investigates the experimental and design enhancements of a metal-plastic hybrid structure utilizing a honeycomb architecture produced through 3D printing. By integrating metals with plastic polymers in a honeycomb configuration, this hybrid approach aims to combine the high strength and stiffness of metals …
Published in Trends in Machine design · Vol. 11, Issue 3, 2024 · pp. 36–43 Read article
-
Machining-Induced Surface Integrity Optimization of High-Carbon Alloy Steel for Enhanced Polymer–Metal Composite Interface Performance
Abstract: The functional performance and structural reliability of polymer–metal hybrid composites are strongly influenced by the surface integrity of metallic substrates used for interfacial bonding and load transfer. In this context, machining-induced surface characteristics play a critical role in determining adhesion behavior, dimensional stability, and mechanical compatibility within composite architectures. The present study investigates the hard turning performance of a newly developed high-carbon alloy steel intended for composite-integrated structural applications, with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1531–1546 Read article
-
Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
-
Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
-
Optimization of Process Parameters for Cu90Ni10 Alloy Processed by Wire Arc Additive Manufacturing (WAAM) Using an L9 Orthogonal Array
Abstract: Abstract Wire Arc Additive Manufacturing (WAAM) has gained significant attention in recent years as a promising technique for producing complex metallic components. This study focuses on the processing of Cu90Ni10 alloy using WAAM and employs an L9 orthogonal array to optimize the mechanical properties of the resulting components. Cu90Ni10 alloy is known for its excellent corrosion resistance and electrical conductivity, making it a critical material in various industries, including aerospace …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 292–301 Read article
-
Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article