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703 articles for “Scale”
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Quantification of Snow/Glacier Melt Impacts of Historical and Future Climate Change on Eastern Himalayan River
Abstract: Millions of the population on Eastern Himalayan Rivers (EHR) totally depend on, domestic use, agriculture, and hydropower. Several studies found that climate warming threatens this EHR's hydrological regime. In order to understand the hydrologic response of their headwaters and how climate change affects streamflow, a hydrological modeling study is conducted in the Teesta River Basin (TRB) in EHR using an open-source Quantum Geographical Information System (QGIS) with semi-distributed QSWAT1.5 (Soil …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 508–524 Read article
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Data Integration and Visualization in Bioinformatics: Techniques and Challenges
Abstract: Data integration and visualization play essential roles in bioinformatics, facilitating the thorough analysis, and interpretation of intricate biological datasets. In the field of bioinformatics, vast amounts of data are generated from various experimental platforms, such as genomic sequencing, proteomics, transcriptomics, and metabolomics. However, the heterogeneity of these datasets, coupled with their large scale and complexity, presents significant challenges in terms of integration, analysis, and visualization. Data integration techniques aim to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Neuroinformatics and Its Impact on the Future of Brain-Computer Interface Technology
Abstract: Neuroinformatics, a multidisciplinary field combining neuroscience, information technology, and data science, plays a crucial role in advancing brain-computer interface (BCI) technology. By leveraging large-scale neural data, machine learning algorithms, and computational models, neuroinformatics enhances our understanding of brain function and improves the design and development of BCIs. The integration of neuroinformatics into BCI systems offers new possibilities for interpreting complex brain signals, facilitating real-time communication between the brain and external …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 9–18 Read article
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Is Hydrogen the Future of the Automotive Sector? A Critical Overview
Abstract: The transition towards sustainable energy sources in the automotive sector has become imperative in light of escalating environmental challenges and the depletion of fossil fuels. Among alternative energy solutions, hydrogen has emerged as a promising candidate due to its high energy density, zero-emission potential, and technological advancements in fuel cell systems. This review critically examines the viability of hydrogen as a dominant energy source for future automotive applications. The paper …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 3, 2024 · pp. 35–43 Read article
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The Role of Artificial Intelligence in Automating Incident Response in Cloud-Based Cybersecurity
Abstract: As cloud computing continues to gain traction across industries, the complexity and scale of cloud environments present significant challenges to traditional cybersecurity practices. The dynamic and distributed nature of cloud infrastructures necessitates agile and effective incident response mechanisms to detect, analyze, and mitigate threats in real-time. However, conventional incident response methods often fall short due to the growing sophistication of cyber threats and the vast amounts of data generated in …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 15–24 Read article
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Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
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Comparative Efficacy of Hybrid Capture 2 and Real-Time PCR in Detecting High-Risk HPV Genotypes for Cervical Cancer Screening
Abstract: Human papillomavirus (HPV) infection is a leading cause of cervical cancer, making early detection critical for effective prevention and treatment. Among the diagnostic methods available, Hybrid Capture 2 (HC2) and Real-Time Polymerase Chain Reaction (PCR) are widely used for detecting high-risk HPV genotypes, particularly HPV 16 and 18, which account for the majority of cervical cancer cases. This review aims to compare the efficacy of HC2 and Real-Time PCR in …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 13–17 Read article
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Modelling Electronic Diode Networks with PSPICE Simulation
Abstract: The dual of Thevenin, Norton equivalent circuit is used in place of any circuit/network of linear sources and immittances at at a given frequency. Both Thevenin with Norton theorem is useful for analyses and modification of circuits, to study /obtain network’s steady state response and initial condition. Methods to represent different circuits with Thevenin/Norton impedances connected at desired nodes are given using Spice/Pspice. The Thevenin/Norton impedances connected are of other …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 17–37 Read article
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Comparative Efficacy and Safety of Safinamide and Rasagiline in the Treatment of Parkinson’s Disease: A Meta-Analysis and Systematic Review
Abstract: Background: Recent studies have suggested Rasagiline and Safinamide monotherapy as potential management options for Parkinson’s disease. Parkinson’s disease, a neurological disorder characterized by tremors and movement difficulties, necessitates treatments aimed at managing clinical symptoms. Levodopa remains the primary effective treatment for Parkinson’s disease symptoms; however, its long-term use often leads to motor complications in many patients. Additional therapeutic drugs, such as dopamine agonists and monoamine oxidase B inhibitors, including Safinamide …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 74–91 Read article
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Implementing and Analyzing Network Commands in Cloud and Edge Computing Environments with Cisco Simulators
Abstract: The present review examines edge and cloud topologies and compares them according to latency. Instead of using distant data centers like cloud computing platforms, edge computing designs process data physically close to the source. Increased demand for Internet of Things (IoT) devices, which are growing more concerned with real-time data processing and analysis, has fueled the expansion of edge computing and cloud computing. In essence, each of these designs offers …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 62–69 Read article
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Descriptive Study to Evaluate Attitudes Toward Teenage Pregnancy Among Nursing Students in a Selected College in Virudhunagar
Abstract: This study aimed to explore the attitudes of nursing students toward teenage pregnancy, focusing on a specific college in Virudhunagar. A purposive sampling technique was employed to select 50 participants using non-probability sampling methods. Data were gathered through a structured questionnaire based on a 5-point Likert scale, comprising 10 statements with response options ranging from "strongly disagree" to "strongly agree." The data collected were systematically organized, tabulated, and analyzed using …
Published in International Journal of Midwifery Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 22–27 Read article
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A True Experimental Study to Assess the Effectiveness of Cognitive Behavioral Therapy on Low Self-Esteem Among B.Sc. 1St Year Students in Pt. Jwala Prasad Upadhyay Govt. College Patna, Korea (C.G.)
Abstract: Self-esteem is vital for an individual’s well-being and quality of life. Struggling with low self-esteem can lead to negative behaviors and unfavorable outcomes. Cognitive behavioral therapy (CBT), a well-established psychological approach, effectively addresses mental health issues like low self-esteem. By focusing on unhelpful thought patterns and behaviors, CBT supports individuals in fostering a more positive self-image and enhancing emotional health. This study aimed to evaluate the effectiveness of CBT in …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 1, 2025 · pp. 21–24 Read article
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A Comprehensive Review: Emerging Nanotechnology in Cancer Drug Delivery
Abstract: Nanotechnology has become a groundbreaking strategy in cancer therapy, especially in drug delivery systems, offering improved treatment effectiveness while minimizing the adverse effects associated with traditional methods. This review presents an in-depth analysis of recent progress in nanotechnology for cancer drug delivery, emphasizing the design, mechanisms, and practical applications of nanoparticle-based systems. Nanoparticles, such as liposomes, dendrimers, and gold nanoparticles, offer unique advantages, including improved drug solubility, targeted delivery to …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 1, 2025 · pp. 24–33 Read article
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Exploring Challenges in Clinical Learning and the Impact of Structured Teaching on Infection Control Knowledge and Attitudes Among Nursing Students
Abstract: Living a healthy lifestyle is essential for preventing chronic diseases and maintaining physical, psychological, and social well-being. The present study, titled “Exploring Challenges in Clinical Learning and the Impact of Structured Teaching on Infection Control Knowledge and Attitudes among Nursing Students” aimed to address key challenges faced by nursing students and evaluate the impact of a structured teaching program. The study employed a quantitative research approach using a pre-experimental design …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 1, 2025 · pp. 42–47 Read article
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Emerging Paradigms in Parallel Computing: Trends and Innovations
Abstract: Parallel computing is at an inflection point with revolutionary new paradigms and technologies. The goal of this paper is to survey the recent trend in parallel computing from architecture, programming model and applications. Mahajan cites a litany of architectural developments such as heterogeneous computing systems with integrated graphics processing unit/central processing unit ; the emerging promise from quantum and neuromorphic architectures (please see later); advances in packing transistors using novel …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 39–43 Read article
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Cloud-based Application Development and Optimization
Abstract: As cloud computing powers today’s applications, optimizing cloud-based development is crucial to achieve performance, cost effectiveness, and scalability. This research focuses on enhancing the design, deployment, and maintenance of cloud applications, tackling challenges in resource management, scalability, and resilience. We specifically explore dynamic resource allocation algorithms that use predictive analytics for auto-scaling based on workload variations, aiming to cut costs while preserving high performance. The study also investigates cross-cloud optimization …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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Integration of EV charging with Renewable Energy
Abstract: The integration of electric vehicle (EV) charging with renewable energy (RE) sources presents a promising path toward sustainable transportation and energy use. As the global adoption of EVs accelerates, traditional charging methods relying on fossil fuels pose challenges to achieving environmental goals. This paper explores the potential of integrating RE sources, such as solar, wind, and hydroelectric power, with EV charging infrastructure to reduce greenhouse gas emissions and optimize energy …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 1, 2025 · pp. 1–8 Read article
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Plant-Derived Vaccines: A Sustainable Approach to Disease Control for Global Health
Abstract: Plant-based vaccines present a novel and environmentally responsible approach to vaccination, with significant potential for improving both human and animal health. These vaccines are safer and less expensive than traditional vaccine manufacturing methods because they use genetically modified plants to create antigens that elicit an immune response. Plant-based systems offer a potential remedy for traditional vaccines' high production costs and environmental impact, which are growing problems. Plant-derived vaccines have shown …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 15, Issue 1, 2025 · pp. 17–20 Read article
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Health and Wellness in the Age of Digital Landscapes: Fostering Quality of Life
Abstract: Digital technologies have been transforming the world of health and wellness, bringing unique ways to enhance people's life quality around grand scale. These developments are completely changing the way we think about social health, mental health, and physical fitness. People can better monitor, manage, and optimize their health by utilizing technologies like wearables, telemedicine, and smartphone health apps in conjunction with artificial intelligence. This study examines the various ways that …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 1, 2025 · pp. 1–4 Read article
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Pothole Detection utilising Machine Learning: A Review
Abstract: Potholes must be found and fixed quickly in order to maintain infrastructure, maximize transportation systems, and guarantee road safety. Using the Sequential API and the Keras library, this study presents a neural network model for pothole detection. Convolutional layers with ReLU activation, global average pooling, dense layers with dropout, and softmax activation for binary classification make up the model architecture. Image loading, resizing, array conversion, labeling, shuffling, normalization, and one-hot …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 35–43 Read article