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1949 articles for “GPT-4.0 API” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Polymer-Based Transparent Conductive Composites for Flexible Solar Panel Coatings
Abstract: This study investigates the fabrication and characterization of polymer-based transparent conductive composites (PTCCs) tailored for flexible solar panel coatings using poly(methyl methacrylate) (PMMA) and poly(ethylene terephthalate) (PET) matrices reinforced with silver nanowires (AgNWs), multi-walled carbon nanotubes (MWCNTs), and PEDOT:PSS. The composites were synthesized through a solution blending and doctor-blade casting method followed by post-treatments to enhance interfacial bonding and conductivity. Optical transmittance values above 85% were achieved across all composite …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 99–110 Read article
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A Study to Assess the Effectiveness of Self-Instructional Module on Knowledge of Electrocardiogram Among Staff Nurse in a Selected Hospital in Mahagaon
Abstract: Objectives: This study aimed to evaluate the staff nurses' knowledge of electrocardiograms (ECG) and to determine the impact of a structured teaching program in improving their understanding of the subject. Methodology: An evaluative research design was employed for this study. The study involved 22 staff nurses chosen through simple random sampling and was carried out at Sant Gajanan Maharaj Rural Hospital, Mahagaon. A structured knowledge questionnaire was used to gather …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 7–27 Read article
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Assessment of Quality of Life and Coping Strategies Used by Amputated Patients Attending Orthopedics OPD to Provide Rehabilitation Program: A Descriptive Study
Abstract: Introduction: Amputation is defined as the surgical removal of a body appendage such as limbs. It has a profound social, economic, physical and psychological impact on patients. Objectives of the study: To assess the quality of life and coping-strategies used by an amputated patient and to determine an association between the quality of life and coping-strategies with selected socio-demographic variables at Pt. B. D. Sharma, PGIMS, Rohtak. Material and Method: …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 23–39 Read article
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Assessing the Impact of Chlorhexidine Mouthwash on Radiation-Induced Oral Mucositis in Head and Neck Cancer Patients: A Pre-Experimental Study
Abstract: Introduction: Cancer poses a major global health threat and is the second leading cause of death worldwide, following cardiovascular diseases, particularly in developed countries. Among cancers, head and neck cancer ranks as the 6th most common, representing about 6% of all cancer diagnoses. One of the frequent side effects of radiotherapy (RT) is mucositis, an inflammation of the mucous membranes. Chlorhexidine, a commonly used antiseptic and disinfectant found in mouthwashes, …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
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A research study into the interactions between the monoherbal formulations of arjuna and Aloe vera in a rat model of isoproterenol-induced cardiotoxicity
Abstract: Aloe vera is a herbal dietary supplement, and arjuna is used for its cardioprotective properties. Rats were given isoproterenol hydrochloride subcutaneously to cause myocardial infarction. The purpose of the study was to identify any potential pharmacodynamic interactions between the commercially available formulations of Aloe vera and arjuna. Materials and Procedures: The electrocardiogram (heart rate, ST segment elevation time, QRS complex amplitude), serum cardiac markers (creatine kinase, isoform of creatine kinase, …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 2, 2025 · pp. 1–10 Read article
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Enhancing Credit Card Fraud Detection Using Device Fingerprinting and Behavioral Biometrics
Abstract: Credit card fraud is a growing global concern, with financial losses projected to reach $ 43.47 billion by 2028. Credit card fraud poses a major challenge in the financial industry, resulting in substantial financial losses and security risks. This research introduces a Machine Learning-based Credit Card Fraud Detection System designed to improve the accuracy of fraud identification. Due to the imbalanced nature of fraud datasets, SMOTE (Synthetic Minority Over-sampling Technique) …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 40–50 Read article
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Modeling of ZnO Based Nano Sensor Device for Evaluating Electronic Interaction with NO2 Pollutant: Combining Multiphysics Simulation and DFT Study
Abstract: This study focuses on the designing and modeling of a sensor device employing zinc oxide (ZnO) nanowires (NWs), and the evaluation of the chemical response of the same in the presence of nitrogen dioxide (NO2), which is an acute harmful pollutant for human health and environment. Experimentally synthesized ZnO nanostructures were used as the basis for modeling of the ZnO NWs based sensor device along with a single ZnO NW, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 211–219 Read article
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AI-Optimized Itinerary Design: Transforming the Future of Travel Planning
Abstract: The travel industry is struggling to meet the rising demand for efficient and personalized trip planning. Traditional methods often lack real-time updates and fail to adapt to individual preferences, necessitating innovative solutions. This study presents an AI-powered travel planner utilizing the Gemini API to enhance itinerary creation. By analyzing user preferences, interests, and real-time data, the system delivers tailored travel recommendations. Leveraging advanced technologies such as cloud computing, machine learning, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 74–82 Read article
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Accessibility Index of Selected Combine Harvesters of Chhattisgarh Region
Abstract: Combine harvesters have become more popular with an increase in harvested area in Chhattisgarh. It must be ensured that the workplace of the combine harvesters must fulfill the anthropometric criteria of agricultural workers of Chhattisgarh. Incorporating anthropometric criteria into the design of combine harvesters is essential for improving the comfort, efficiency, and safety of agricultural workers in Chhattisgarh. In addition to supporting the operators, this strategy likewise enhances the region's …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 1, 2025 · pp. 34–40 Read article
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Rapid Forecasting of Short-run Electric Power Demand Profiles of India Using the Statistical Method of Z Scores
Abstract: Power demand profile prediction for a region or nation is a critical part of the energy system design and operational planning process. A simplified method based on non-dimensionalizing power demand data from previous years using Z scores calculated from the mean and standard deviation of the profiles is developed in this study to forecast monthly demand profiles at time resolution of 1 hour for future years. The Z score range …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 38–48 Read article
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Assess the Knowledge Level Regarding Prevention of Cervical Cancer Among Bachelor of Science Students at Selected Nursing College in Bengaluru
Abstract: Background: Cervical cancer is a major global health concern and one of the primary causes of cancer-related fatalities in women, with particularly high incidence rates in India. Early detection and prevention are crucial, but awareness remains insufficient, especially among future healthcare professionals like nursing students. This study evaluates the knowledge of first-year Bachelor of Science (BSc) nursing students regarding cervical cancer prevention. Materials and Methods: A non-experimental, descriptive research design …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 21–25 Read article
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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
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Effectiveness of PTFE-Based Nano-coatings in Improving Corrosion and Wear Resistance of Stainless Steel
Abstract: Polytetrafluoroethylene (PTFE) has emerged as a highly effective material for enhancing the durability and performance of metal surfaces, particularly in environments requiring superior corrosion resistance and low friction. This study investigates the application of PTFE coatings on various metallic substrates, with a focus on stainless steel and carbon steel, to improve their corrosion resistance, wear protection, and tribological performance. Utilizing advanced deposition techniques such as sol-gel and plasma spray, PTFE …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 32–38 Read article
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Enhancing Thermal and Mechanical Performance of Polymer-Based Phase Change Materials with Graphite Nanoplatelets: A High-Efficiency Approach for Energy Storage Applications
Abstract: This study explores the performance enhancement and characterization of polymer-based phase change material (PCM) composites reinforced with graphite nanoplatelets (GNPs) for thermal management applications. The integration of GNPs significantly improved thermal conductivity, which increased from 0.38 W/m·K in pure PCM to 2.60 W/m·K with 10 wt% GNPs, marking a 580% improvement. Differential Scanning Calorimetry (DSC) analysis revealed a reduction in latent heat capacity from 180 J/g to 150 J/g—approximately 16.7%—attributed …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 150–162 Read article
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Synthesis, Characterization, Biological evaluation, and in silico study of aniline derivatives
Abstract: In many hospitals worldwide, bacterial infections brought on by resistant strains are wreaking havoc, particularly in patients who are already impaired by age, disease, and other conditions. Due to the bacterial resistance, it is required to search for newer antibacterial drugs or molecules. In the current study, we aimed to develop aniline derivatives, followed by their anti-bacterial and in silico studies. Out of all the synthesized derivatives, compound 4d was …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 25–32 Read article
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Effectiveness of structured teaching programme on knowledge regarding Prophylactic vaccination against cervical cancer among adolescent girls
Abstract: Background: Adolescent health encompasses the variety of methods used to prevent, identify, or treat the health and wellness of young people. Adolescent health also includes the sexual and reproductive health of children and young adults. Women of all ages are susceptible to HPV infection. The human papillomavirus is the cause of cervical cancer . The HPV vaccine is an important main preventive measure against cervical cancer . Thus, it is …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 Read article
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Comparison and Analysis of Facial Emotion Detection Using Various Deep Learning Neural Networks
Abstract: Facial emotion recognition employs Convolutional Neural Networks (CNNs), Residual Networks (ResNet), Long Short-Term Memory (LSTM) networks, and Deep Neural Networks (DNNs) to automatically identify various emotions, including disgust, anger, fear, happiness, sadness, surprise, and neutrality. This study utilizes transfer learning along with data preprocessing techniques such as rotation, flipping, brightness adjustment, and enhancement methods. Traditional machine learning models achieve an accuracy range of 45 to 50%. In contrast, our proposed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 37–42 Read article
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Design, Synthesis, and Spectroscopic Elucidation of 3-Methyl-1-Phenylpyrazol-5-One: A Cheminformatics-Aided Approach to Heterocyclic Drug Scaffolds
Abstract: Pyrazolone, a notable heterocyclic compound, has drawn increasing interest due to its broad pharmacological profile and structural versatility. The synthesis, characterisation, and biological assessment of new pyrazolone derivatives are examined in this work. A comprehensive review of existing synthetic strategies is presented, emphasizing green and efficient methodologies. Novel derivatives were synthesized using varied starting materials and catalytic systems, followed by structural confirmation through spectroscopic analyses, including NMR, IR, and mass …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 29–40 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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Phisherman: A Phishing Email Detection Browser Extension
Abstract: Phishing attacks continue to pose significant security risks, exploiting email as a primary vector to deceive users and compromise sensitive information. To counter these threats, Phisherman presents a sophisticated, real-time phishing detection system that integrates both rule-based methods and deep learning for heightened accuracy. Built as a cross-browser extension, compatible with Chrome, Firefox, and Edge through the WebExtension API, Phisherman combines traditional verification checks, such as DNS blacklisting, SPF, DKIM, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 99–105 Read article