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661 articles for “system complexity”
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Medically Important Hemiptera: Bed Bugs and Kissing Bugs in Human Health.
Abstract: Bed bugs (family Cimicidae) and kissing bugs (subfamily Triatominae) are hematophagous Hemiptera of major medical importance, yet they differ markedly in their public health impact. Bed bugs have resurged globally over the past three decades, with infestations reported from homes, multi-unit housing, hotels, transportation, and healthcare facilities in both high and low-income settings. They are not established biological vectors of human pathogens, but their bites cause pruritic papules, urticarial, and …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 41–49 Read article
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Exploring the Studies of Mathematics: Foundations, Evolution, Pedagogy and Prospects
Abstract: Mathematics, often regarded as the universal language of science and logic, has evolved through centuries as both a tool for understanding the natural world and a discipline of abstract reasoning. This study explores the multifaceted dimensions of mathematics by examining its foundations, historical evolution, pedagogical approaches, and future prospects. The foundational aspects trace back to ancient civilizations—Babylonian arithmetic, Greek geometry, and Indian and Arabic contributions to algebra— highlighting how early …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 25–31 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
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Editorial: Advancements in Movement Analysis for Understanding Neurological Disorders
Abstract: Neurological disorders pose a significant challenge, demanding innovative approaches for accurate diagnosis, effective treatment, and deeper understanding. Movement analysis emerges as a powerful tool, offering a quantitative window into the complexities of motor function. This editorial delves into the transformative impact of movement analysis on neurological research and clinical practice. Traditional diagnostic methods, reliant on subjective observations, often miss subtle motor impairments, particularly in early disease stages. Movement analysis tackles …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 28–32 Read article
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Quantum Computing: A Review
Abstract: The field of quantum computing is rapidly evolving and holds the potential to fundamentally change our approach of tackling complex problems. In this research, the fundamentals of quantum computing and some possible uses for it are examined. Also, a general review of classical computing and its shortcomings in several specific problem-solving scenarios is outlined. Qubits serve as the foundational elements of quantum computing. The different kinds of quantum bits, or …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 30–42 Read article
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Differential Model of Wave Vibration on Strings and Rods
Abstract: Vibration, as a physical phenomenon, plays a multifaceted role in both natural and engineered systems. Beyond its essential contribution to communication through sound and speech, it finds critical application in various technological domains. For instance, in the design of stringed musical instruments such as violins and guitars, precise manipulation of string vibrations defines tonal quality and musical resonance. Similarly, metal rods in tuning forks exhibit vibrational properties that are finely …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 17–21 Read article
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Recent Advancements and Comprehensive Review on Hyphenated Techniques
Abstract: Hyphenated techniques represent a powerful class of analytical methods that combine two or more established techniques – typically a separation method with a spectroscopic detection technique – to achieve enhanced analytical performance. First introduced by Hirschfeld in 1980, the term “hyphenation” refers to the online coupling of such methods, enabling more precise, sensitive, and comprehensive analysis of complex samples. These techniques exploit the strengths of individual methods while overcoming their …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 37–50 Read article
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Biomedical Monitoring, IoT in Hospital Industry: Focusing on Solidification of Data Security and Privacy of Patients
Abstract: Improving the security of internet of things (IoT) communication and ensuring the safety of intelligent healthcare systems are significant objectives for biomedical microelectromechanical systems (BioMEMS). BioMEMS, which are at the cusp of healthcare and cutting-edge technology, propel the creation of tailored monitoring, therapeutics, and diagnostics. But because of the intricate security and privacy issues that come with IoT connections in smart healthcare ecosystems, a careful analysis is required. Various security …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 26–29 Read article
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A Review on the Impact of Artificial Intelligence on Cybersecurity
Abstract: When it comes to protecting against cyber threats, the use of AI is changing everything. Thanks to AI-powered technologies, organizations can now better foresee and handle potential intrusions. These solutions provide exceptional capabilities in identifying threats, monitoring in real time, and delivering predictive insights. But, with these innovations come significant hazards and difficulties, necessitating thoughtful deliberation and preventative measures. Artificial intelligence's impact on cybersecurity is explored in this article, looking …
Published in Journal of Artificial Intelligence Research & Advances Read article
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Study on Chemical Insights into Alzheimer's Disease: Amyloid Beta and Tau Protein Interactions
Abstract: Background: Alzheimers disease (AD) is the most prevalent form of dementia, affecting millions of individuals worldwide and posing significant challenges to healthcare systems. The disease is characterized by a gradual decline in cognitive functions, particularly memory, reasoning, and the ability to perform daily activities. Aim & objective: To study chemical insights in alzheimers disease, especially amyloid beta and tau protein interactions Results & discussion: The results of this review highlight …
Published in International Journal of Brain Sciences · Vol. 2, Issue 1, 2025 · pp. 37–46 Read article
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Concept Design of a Simple Marine Dry Dock (Without Gate)
Abstract: This article explores various options for facilities used in underwater ship repair, including Dry Dock, Ship Lift systems, Floating Dry Docks, and Simple Slipway systems with cradle and winch. Such facilities are crucial to any ship repair operation. Among these, Dry Docks are known for their high capital cost and limited capacity to repair only one ship at a time. This makes them less appealing unless there is substantial demand …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 3, 2024 · pp. 46–69 Read article
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Strategies to Improve Drug Compliance Among Patients with Mental Disorders: A Systematic Review
Abstract: Background: Mental disorders constitute a public health concern, accounting for 13% of the global disease burden. Pharmacotherapy along with psycho education is primary line of treatment and maintaining drug compliance is crucial. Aim: The aim of this systematic review was to summarize the strategies to improve drug compliance among patients with mental disorders, identify which tools are most frequently used to measure strategies to improve drug compliance among patients with …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 1, 2025 · pp. 74–81 Read article
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Progression in multi-omics and immunological research on host-parasite interactions: Transcriptomics, proteomics, genomics, metabolomics, and immune responses
Abstract: The interaction occuring between hosts and parasites is a quick and multi step-complex biological process that tries to influence disease outcomes. In recent years, multi-omics approaches, such as transcriptomics, proteomics, genomics, metabolomics, and immunological studies, have gathered substantial eye in dissecting these interactions at a microscopic level. These techniques enable a vast understanding of the molecular structures involved in parasitic infections and host defense mechanisms. This article reviews the advancements …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 Read article
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Retained Placenta in Dairy Cows: Causes, Consequences and Effective Strategies for Sustainable Dairy Development
Abstract: Retained placenta (RP) is a common reproductive disorder in dairy cows that poses a significant threat to reproductive efficiency, milk yield, and overall herd productivity. The condition, characterized by the failure to expel fetal membranes within 24 hours post-calving, results from a complex interplay of metabolic, endocrine, nutritional, and management-related factors. Key causative agents include dystocia, twin births, premature calving, mineral imbalances, oxidative stress, immune suppression, and hormonal disruptions, particularly …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 Read article
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Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article
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Development and Mechanical Characterization of Polymer based Bio Composite Filaments for FDM Applications
Abstract: Additive Manufacturing (AM) is an advanced fabrication process capable of producing complex and intricate components to meet diverse industrial and customer demands. For small-scale producers and researchers, FDM is the most straightforward, affordable, and easily accessible of the several AM processes. The majority of conventional polymer feedstocks used in FDM lack sufficient mechanical strength and thermal stability, which limits their use in load-bearing or structural components. This effort aims to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 743–751 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Biodegradable Polymer Nano Composites for Enhanced Drug Bioavailability
Abstract: Polymer-based nanoparticles have emerged as a revolutionary approach in drug delivery systems, particularly in enhancing the bioavailability of poorly soluble and unstable drugs. These nanoparticles, composed of both natural and synthetic polymers, serve as effective vehicles for encapsulating a wide range of therapeutic agents. Their surface characteristics can also be modified to enable targeted drug delivery, increasing the concentration of drugs at the site of action while minimizing side effects. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 433–443 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article