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103 articles for “Complexity science”
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Scaling of Machine Learning Techniques in Medical Imagining and Biomedical Applications Concerning Healthcare
Abstract: Machine learning refers to a field within computer science enabling computers to learn without explicit programming. Stemming from artificial intelligence's study of pattern recognition and computational learning theory, machine learning develops algorithms capable of learning from vast datasets and making predictions. Its applications span diverse computing tasks like email filtering, network intrusion detection, optical character recognition, and computer vision, where conventional algorithm design proves challenging. Notably, in computer vision, a …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 41–44 Read article
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A New Paradigm in the Intersection of Science and Consciousness through the Microvita Theory
Abstract: Microvita theory, first proposed by philosopher Prabhat Ranjan Sarkar, posits the existence of subtle energy-based entities called "Microvita" that act as the missing link between consciousness and matter. This paper explores Microvita as a novel conceptual framework that bridges the gap between particle physics, consciousness studies, and environmental sustainability. Unlike traditional scientific paradigms, which often exclude the non-material dimensions of reality, Microvita theory asserts that subtle energies and conscious forces …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 2, 2025 · pp. 7–13 Read article
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Computational Study of Sombor Index on Generalized Abid–Waheed Graphs for Polymer Modeling
Abstract: This study investigates the topological properties of generalized Abid Waheed graphs. Development of theoretical models in chemistry, reducing computational complexity while analysing large molecules or networks Abid Waheed graphs play a significant role. Motivated by these findings, the research was extended to encompass generalized Abid Waheed graphs, characterized by r cycles of order s. A notable similarity between Abid Waheed graphs and Jahangir graphs was observed. The potential applications of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 267–274 Read article
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Leveraging Full Stack Data Science for Healthcare Transformation: An Exploration of the Microsoft Intelligent Data Platform
Abstract: The rapid progress of the Fourth Industrial Revolution has been largely driven by the evolution of artificial intelligence (AI), with notable contributions from technologies such as Generative Pre-trained Transformers (GPT). This revolution has seen the convergence of physical, digital, and biological technologies, leading to transformative impacts across various sectors. Data science, serving as a crucial enabler, has enabled the development of intelligent value chains. However, the application of data science …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Polymeric Nanocomposite Aided Bioaugmentation for Marine Oil Spills – A Review
Abstract: Bioaugmentation is a promising, cost-effective bioremediation technique that enhances the degradation of marine pollutants by introducing hydrocarbon-degrading microorganisms. This review explores recent advancements in the use of bioaugmentation for petroleum biodegradation in marine environments, emphasizing the integration of microbial systems with polymeric and composite materials. Innovative methods, such as the immobilization of microbial cells within biodegradable polymeric matrices (e.g., alginate, chitosan, polyvinyl alcohol), have significantly improved microbial viability, metabolic efficiency, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1049–1061 Read article
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Emerging Technologies Reshaping Industries
Abstract: Emerging technologies such as Artificial Intelligence (AI), machine learning and 5 G technology are reshaping industries rapidly. This paper contains knowledge about some of the key emerging technologies and their real-world applications in various sectors like health care, education, agriculture, transportation, finance. This includes some of the challenges and considerations arising due to the widespread use of these emerging technologies. Also exploring about the future directions due to adopting these …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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A Study on The Impact of Artificial Intelligence in Pharmaceuticals
Abstract: The main goal of artificial intelligence (AI) is to create intelligent modeling, which facilitates knowledge imagination, problem-solving, and decision-making. AI is becoming more and more significant in several pharmacy domains, including polypharmacology, hospital pharmacy, drug discovery, and drug delivery formulation development. Various types of artificial neural networks (ANNs), including deep neural networks (DNNs) and recurrent neural networks (RNNs), are utilized in the development of drug delivery formulations and in drug …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 24–32 Read article
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Digital Frontiers in Life Sciences: The Transformative Role of Computing in Modern Biology
Abstract: The integration of computers in the biological sciences has revolutionized research and experimentation, facilitating advancements in areas such as genomics, bioinformatics, systems biology, and ecological modeling. The ability to process vast amounts of biological data efficiently has transformed how scientists study complex biological systems and phenomena. Computational tools enable the analysis of DNA sequences, protein structures, metabolic pathways, and ecological dynamics, which were previously beyond the reach of traditional laboratory …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Learning Data Structures: Key to Good Programming
Abstract: Data structures are the most crucial feature of good programming and are needed to solve hard computational problems. This model makes use of two different recurrent neural network architectures, specifically long short-term memory (LSTM), and gated recurrent unit (GRU) networks. It explains how selecting and using the correct data structures may speed up computations, optimize memory, and scale code. How data structures and algorithms relate and how to think about …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 29–39 Read article
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The Tech That Makes Space Travel Possible: From Earth to Orbit
Abstract: Space flight was once only a dream, but it has now become one of the most important achievements of modern science and engineering. This article looks at the technology that make it possible to travel from Earth to orbit, with a focus on the complex systems that make space missions safe, efficient, and repeatable. It looks at how rocket propulsion has changed throughout time, from classic chemical engines to new …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 26–33 Read article
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Harnessing Polymer Chemistry for Pharmaceutical Technology
Abstract: Polymer chemistry has emerged as a cornerstone of modern pharmaceutical technology, offering unprecedented control over drug formulation, delivery, and therapeutic performance. This review highlights the pivotal role of polymers—both synthetic and natural—in revolutionizing drug delivery systems across various routes, including oral, parenteral, transdermal, ocular, nasal, and pulmonary administration. Special emphasis is placed on the structural and functional versatility of polymers, which allows for tailored drug release profiles, enhanced bioavailability, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1–6 Read article
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A Novel Mathematical Exploration of Fractal Dynamics in Hyperbolic Spaces
Abstract: This research paper presents an original study on the behavior, generation, and properties of fractal structures within hyperbolic geometry. Unlike classical Euclidean fractals, hyperbolic fractals demonstrate accelerated boundary complexity and distinct scaling symmetries due to the curvature of the underlying space. The paper proposes new iterative models, analyzes geometric invariants, and explores potential applications in data visualization, network science, and theoretical physics. This research paper conducts an in-depth investigation into …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 1–7 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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ML Model Comparison for Sentiment Analysis Across Diverse Datasets
Abstract: Analyzing sentiment is crucial for understanding public opinion on various issues in marketing, politics, and social sciences. This study compares the performance of seven different machine learning algorithms for sentiment classification, focusing on their effectiveness, accuracy, and complexity. The research is conducted on a pre-processed dataset with balanced text samples, utilizing feature extraction methods such as Term Frequency-Inverse Document Frequency (TF-IDF). The performance assessment criteria consist of accuracy, precision, recall, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 26–33 Read article
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The Evolution and Impact of BASIC: The Earliest Computing Language
Abstract: This study explores the impact of the BASIC programming language, which was designed in the 1960s to make coding accessible to non-specialists. BASIC (Beginner's All-purpose Symbolic Instruction Code) revolutionized computing by democratizing programming, making it possible for hobbyists, students, and budding developers to write their own software. The study highlights how BASIC paved the way for personal computing and laid the foundation for the modern tech landscape. It examines the …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 25–29 Read article
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Comparative Study on Oro Dispersible Tablets of Candesartan Cilexetil Formulated with Natural and Synthetic Disintegrants
Abstract: Candesartan cilexetil, a BCS class II drug with low aqueous solubility and poor bioavailability (15%), poses challenges for oral delivery. To address this limitation, the present study focuses on polymer-based inclusion complexation and composite formulation strategies to enhance solubility and dissolution behavior. The drug was incorporated into β-cyclodextrin (β-CD), a cyclic oligosaccharide polymer, by the kneading method in different drug-to-carrier ratios. Among these, the 1:1 molar ratio complex exhibited the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 687–695 Read article
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Chemical Patents and Filing Practices in India: Trends, Processes, and Legal Framework
Abstract: India, recognized as the fifth-largest global economy, holds the 7th position in the chemical sector and ranks 11th in chemical and petrochemical exports worldwide. Despite this significant standing, the country witnesses comparatively fewer patent applications in this domain. The global chemical and petrochemical industry, although complex in nature, serves as a critical element of economic development and supply chain operations. This paper explores the interconnectedness of innovation, patents, and chemical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 163–171 Read article
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The Double-edged Sword: Evaluating the Benefits and Challenges of AR and VR in Education
Abstract: Incorporating augmented reality (AR) and virtual reality (VR) into education is transforming traditional learning settings by boosting interactivity, engagement, and accessibility. AR and VR technologies provide immersive experiences that transform theoretical concepts into visual and practical applications, effectively catering to various learning styles. This abstract explores the impact of AR and VR on educational outcomes, examining their applications across various disciplines, including STEM (science, technology, engineering, mathematics), humanities, and vocational …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 5–11 Read article
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“Microvita‑Inspired Informational Field Dynamics as a Nonlinear Signal‑Generation Mechanism in Matter–Life–Mind Systems”
Abstract: Recognizing how matter, life, and consciousness relate to one another continues to be among the most essential challenges faced by modern science. Contemporary physical theories successfully describe the behavior of elementary particles and large-scale cosmological structures, yet they do not fully explain the emergence of informational complexity and organized patterns observed in biological and cognitive systems. This study proposes a theoretical framework in which Microvita are interpreted as subtle informational …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Optimizing Airline Efficiency Using Big Data and Predictive Analytics
Abstract: Recent technological advancements have resulted in the generation of vast volumes of data across industries, including the airline sector, supporting operational control and service quality. Big Data Analytics (BDA) enables organizations to analyze large and complex datasets to derive actionable insights that support informed decision – making and superior operational performance. This review paper systematically analyzes twenty relevant research studies to explore the application of Big Data Analytics (BDA) within …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 Read article