Search
311 articles for “detection limit”
-
Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article
-
Elucidation of Physical Structural Stability of Nickel Nanoparticles Additive-Based Magnetorheological Grease
Abstract: This study investigates the influence of nickel nanoparticles on the physical properties and structural stability of magnetorheological grease (NMRG) as a smart composite. The incorporation of nickel nanoparticles aims to mitigate issues commonly observed in conventional magnetorheological grease (MRG), including particle aggregation within the fibrous matrix, limited material performance, and deformation instability. NMRG samples containing 1–5 wt% nickel nanoparticles were prepared using a mechanical stirring method. The tests focused on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 191–215 Read article
-
Uncontrolled Cell Growth and Human Health: A Comprehensive Exploration of Cancer
Abstract: Cancer is a diverse category of diseases defined by the uncontrolled proliferation and spread of aberrant cells. It remains the major cause of morbidity and mortality worldwide. This article presents an overview of the various forms of cancer, such as carcinomas, sarcomas, lymphomas, and leukaemia, emphasising their distinct causes, symptoms, and risks. Early detection and diagnosis are emphasized as key to enhancing treatment outcomes. The article further provides an in-depth …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 1–23 Read article
-
Complementary Metal Oxide Semiconductor Readout Integrated Circuit for Imaging Applications
Abstract: In this paper presents a novel continuous-time simultaneous-readout scheme for active imaging systems based on orthogonal modulation of photo detector signals. The superimposed-continuous-time approach presented here differs from the conventional scheduled-discrete-time scheme in that the photo detector signals are summed in a common bus concurrently and then converted to voltage levels for digitization. We illustrate that our proposed architecture may be profitable. Predominantly, in solicitations, the bandwidth necessities for a …
Published in Journal of Semiconductor Devices and Circuits · Vol. 2, Issue 2, 2015 · pp. 5–8 Read article
-
The Rising Burden of Heart Attacks: Causes, Trends, and Prevention Strategies
Abstract: Heart attacks, or myocardial infarctions, remain a leading cause of morbidity and mortality worldwide, with their incidence rising steadily across diverse populations. This review explores the increasing prevalence of heart attacks, emphasizing traditional risk factors, such as poor diet, physical inactivity, smoking, and medical conditions like hypertension, diabetes, and hyperlipidemia. It also highlights emerging risk factors, such as chronic infections, pollutants, substance abuse, and the lasting cardiovascular effects of COVID-19. …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 2, 2025 · pp. 1–11 Read article
-
Investigating the Surface Defects and Structural Integrity of 3D Printed Hydrogen Storage Cylinders in UAV Applications
Abstract: This research explores the processing and manufacturing challenges of 3D printed polymer composites for high-pressure hydrogen storage in UAVs. The study focuses on addressing surface integrity and structural robustness issues inherent in additive manufacturing. Finite Element Analysis (FEA) was conducted on four thermoplastic polymer ABS, PET-G, HDPE, and Nylon to assess their mechanical performance under 35 MPa of pressure. Results revealed that PET-G and ABS provided better stress distribution and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 161–191 Read article
-
Role of Clinical Pharmacists During Cardiopulmonary Resuscitation in Intensive Care Units and Emergency Departments: A Narrative Review
Abstract: Cardiopulmonary resuscitation (CPR) represents an essential emergency procedure designed to reestablish spontaneous circulation and enhance survival rates among individuals suffering cardiac arrest. Successful resuscitation necessitates prompt clinical judgment, expeditious pharmaceutical interventions, compliance with advanced cardiovascular life support (ACLS) guidelines, and synchronized interprofessional collaboration. During recent decades, clinical pharmacists have gained greater incorporation within emergency response and resuscitation units owing to their specialized knowledge in medication oversight, pharmacotherapeutic enhancement, and patient …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 12–25 Read article
-
Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
-
Identifying ABO Blood Group and Rh Status Using Dried Saliva Samples
Abstract: This article discusses the accuracy of dried saliva samples in establishing ABO and Rh blood types. Participants, likely screened for secretor status beforehand, submitted blood and saliva samples. Both samples were ABO blood typed (A, B, AB, or O) using standard methods such as gel card technology or hemagglutination assays. We used both saliva and blood to perform Rh typing. The findings revealed that saliva and blood typing for ABO …
Published in International Journal of Pathogens · Vol. 1, Issue 1, 2024 · pp. 11–19 Read article
-
Cybersecurity in a Digital World: Risks and Future Perspectives
Abstract: The field of information security offers a wide range of guidance in academic and practitioner literature. While various strategies such as deterrence, deception, detection, and reaction are explored, most research focuses on technological countermeasures to prevent security threats. This study presents the findings of a qualitative study conducted in Korea, examining how businesses utilize security techniques to safeguard their information systems. The results highlight a strong emphasis on preventive measures, …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 44–49 Read article
-
Bioanalytical Method Development and Validation for the Estimation of Levothyroxine in Human K₃EDTA Plasma by Using UPLC-MS/MS
Abstract: A rapid, sensitive, and highly selective UPLC-MS/MS method was developed and validated for the quantitative estimation of Levothyroxine in human plasma using Levothyroxine-D₃ as the internal standard (IS). Chromatographic separation was achieved on a Gemini NX-C18 column (50 × 3.0 mm, 3 µm) with a mobile phase consisting of acetonitrile and water (70:30, v/v) containing 0.015% formic acid at a flow rate of 0.5 mL/min. The total run time was …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 32–46 Read article
-
Disaster Impact Assessment Using Multi-Sensor Satellite Data: An AI-Based Remote Sensing Approach
Abstract: Natural disasters such as floods, earthquakes, and wildfires cause significant damage to human life and infrastructure every year. Rapid and accurate assessment of the affected areas is essential for effective disaster response and recovery planning. Traditional image-based analysis using single-sensor data often fails under adverse conditions such as cloud cover, smoke, or poor lighting. To overcome these limitations, this study proposes a novel framework for disaster impact assessment using multi-sensor …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 10–22 Read article
-
Depression Detection Using Machine Learning: A Comprehensive Review
Abstract: Depression remains one of the most prevalent mental health conditions globally, yet it frequently goes undiagnosed due to the reliance on subjective evaluation methods. With the growing availability of digital behavioral data and significant progress in machine learning (ML), new possibilities have emerged for the automated detection of depression. This review offers a detailed examination of recent advancements in ML-driven approaches to identifying depressive symptoms. It covers a range of …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 27–32 Read article
-
Electric Vehicle Induction Motor Automated Drive System with Smart Battery Monitoring Performance for Range Exchanger
Abstract: This study describes the development of a model of an electric vehicle (EV) with a smart battery-powered inverter-controlled induction machine drive system. The computer simulation model in MATLAB Simulink is used to estimate the energy and power requirements of vehicles over standard driving cycles under various driving conditions. Here, using smart logic for battery performance, factors affecting range and energy use, helps to optimize maximum efficiency of battery and motor …
Published in Current Trends in Signal Processing · Vol. 10, Issue 3, 2020 · pp. 1–7 Read article
-
What Nurses Should Know About New Ways to Treat Muscle Pain
Abstract: Muscle discomfort is a common clinical concern that can significantly limit mobility, functional ability, and overall quality of life. Recent advancements in assessment and management strategies have enabled nurses to deliver more precise, evidence-based care for patients experiencing muscular pain. Emerging diagnostic approaches now include enhanced screening scales that offer greater sensitivity in identifying pain patterns, as well as digital monitoring tools that allow continuous evaluation of symptoms across care …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 12–17 Read article
-
Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
-
Smart Attendance System Using Face Recognition with OpenCV
Abstract: In the past, the conventional method of recording student attendance relied heavily on teachers manually marking entries in a physical register. While simple, this approach is not only time-consuming but also highly vulnerable to errors such as accidental omissions, incorrect entries, or even malpractice in the form of proxy attendance. Moreover, traditional registers lack real-time accessibility, making it difficult to analyze or monitor data instantly. To address these limitations, modern …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 30–39 Read article
-
Path Lab-AI: An Autonomous Framework for Error-Free Histopathology Slide Interpretation
Abstract: Path Lab-AI represents a fully autonomous platform for the analysis of histopathology slides with circumscribed structures, designed to obtain highly accurate results using diagnostic methods and avoiding the usual limitations of standard microscopy-based pathology. Leveraging recent deep learning and whole slide image (WSI) analysis innovations, our system takes advantage of automated WSI ingestion along with pre-processing steps to account for staining variability, remove artifacts, and localize tissue from background. Such …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 19–30 Read article
-
Design of Street Light System Using PIC16F877A Digital Controller
Abstract: The program aims to save energy by recognizing vehicle movement on highways and activating. The clusterof streetlamps ahead of the car while shutting off the following lights. Sensors are required for the projectto activate the front lights and identify the car's motions. Our concept makes use of all the benefits thatLEDs have to offer, such as their quick switching speed, eco-friendliness, durability, and cool light output.As a result, at this …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 1–5 Read article
-
Synthesis and Characterization of Sustainable, Low-Cost, Biomass-Derived Carbon Films from Hevea Brasiliensis (Rubber) Wood for Environmentally Friendly Gas Sensors with Enhanced Selectivity and Sensitivity to Polar Vapors and Hazardous Gases
Abstract: Hevea brasiliensis (rubber) wood sawdust was utilized to fabricate carbon gas sensors for detecting 1000 ppm of ethanol, methanol, acetone, carbon dioxide, and ammonia gases. The carbon particles were prepared by phosphoric acid impregnation followed by thermal activation and then fabricated into films on conductive and non-conductive substrates using the doctor blade method. X-ray diffraction (XRD) analysis revealed distinct graphitic features with peaks at the (002) and (100) planes, indicating …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 22–36 Read article