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73 articles for “Stress transformation.”
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An Overview of Privacy-Preserving Data Encryption Techniques in Mobile Cloud Computing for Big Data
Abstract: With the introduction of mobile cloud computing (MCC), data processing, storage, and sharing have undergone a radical transformation that has greatly improved organizational effectiveness and quality of life. But there are also serious worries about data security and privacy due to the increasing usage of mobile devices and cloud computing, particularly when managing large amounts of data from many sources like sensors and cellphones. The privacy issues surrounding MCC are …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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Transformative Impact of Artificial Intelligence on Telecommunications: Network Optimization, Predictive Maintenance, and Personalized User Experience
Abstract: This paper explores the transformative impact of Artificial Intelligence (AI) in telecommunications, focusing on network performance optimization, predictive maintenance, personalized user experiences, and ethical and regulatory challenges. AI technologies enhance communication networks by optimizing resource allocation, reducing latency, and increasing throughput through real-time adjustments and predictive analytics. Predictive maintenance, enabled by AI, helps prevent failures, reduce downtime, and lower maintenance costs by anticipating issues. The study also delves into AI's …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 1, 2025 · pp. 27–36 Read article
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Nanotechnology-Based Cosmeceuticals for Anti-Aging and Skin Regeneration
Abstract: Nanotechnology has transformed the cosmetic industry of the cosmeceuticals by allowing the production of sophisticated delivery systems that improve the stability, penetration, bioavailability, and therapeutic efficacy of active ingredients in cosmetics. The present review identifies the value of nanotechnology-based cosmeceuticals in anti-aging and skin regeneration, with special focus on the recent developments in nanocarrier technologies and their use in dermatology. Many nanocarriers have exhibited great potentials in enhancing delivery of …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 2, 2026 · pp. 33–45 Read article
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A Rare Case Of Symplastic Leiomyoma Of Uterus : A case Report
Abstract: Uterine smooth muscle tumors (USMT) are of mesenchymal origin and develop from the smooth muscle cells of the uterus. Leiomyomas and their subtypes are the most commonly occurring USMT’s. Symplastic Leiomyoma is an unusual histologic subtype of Benign Leiomyoma, hence also known as atypical or Bizarre leiomyoma. It is often difficult to differentiate it from Leiomyosarcoma because of its bizarre looking nuclei on histology. However it’s malignant transformation is rare. …
Published in International Journal of Toxins and Toxics · Vol. 1, Issue 2, 2024 · pp. 26–31 Read article
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Engineering Perspectives: Thermal and Structural Examination of Disc Brakes for Light Vehicles
Abstract: The procedure of braking transforms the kinetic energy of a car into mechanical energy that needs to be released as heat. High temperatures may result from the frictional heat produced at the disc and pad interface during the braking phase. Frictional heat produced on the rotor surface can contribute to an excessive rise in temperature, which can have unfavorable effects including premature wear, brake fluid vaporization (BFV), thermally excited vibrations …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 1, Issue 2, 2023 · pp. 16–23 Read article
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India’s Changing Skies: Unravelling the Rise of Unpredictable Weather Extremes
Abstract: India is currently experiencing a significant transformation in its climate system, characterized by rising temperatures, irregular rainfall patterns, and an increasing frequency of extreme weather events. These changes are no longer gradual or isolated but are becoming more visible and impactful across different regions of the country. This study provides a detailed examination of long-term climatic trends in India by analysing temperature variations, monsoon behaviour, and the growing occurrence of …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 11–18 Read article
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Self Healing Material: An Introduction
Abstract: Self-healing materials have emerged as a transformative innovation for sustainable infrastructure and advanced applications such as wearable electronics and smart transportation systems. These materials possess the intrinsic ability to repair damage autonomously or with minimal external intervention, thereby extending service life and reducing maintenance costs. Inspired by biological systems, self-healing mechanisms are broadly classified into extrinsic approaches, such as microcapsule and vascular networks based healing, and intrinsic mechanisms involving reversible …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 604–611 Read article
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Detection and Classification of Alzheimer’s Disease Using Deep Learning Technique
Abstract: It is crucial that people with Alzheimer's disease (AD) receive a proper diagnosis to begin preventative action before irreparable brain damage develops. Most people who suffer from Alzheimer's disease (AD), a neurological condition that progresses, are older than 65. The area of interest (ROI) in the hippocampus has been extensively studied for several purposes, including neurological illness research, stress development monitoring, and memory function analysis. Moreover, a connection between Alzheimer's …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 15–20 Read article
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Environmental Impact Assessment of Ocean Energy Converters Using Quantum Machine Learning
Abstract: The accelerating deployment of ocean energy converters (OECs) across tidal, wave, osmotic, and thermal domains necessitates rigorous, data-intensive environmental impact assessment (EIA) frameworks capable of modelling multi-stressor marine ecosystems in real time. Classical machine learning approaches, while operationally mature, encounter scalability bottlenecks and feature correlation limitations when applied to the high-dimensional, non-linear datasets characteristic of offshore monitoring networks. This paper presents a comprehensive quantum machine learning (QML) framework for the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 22–31 Read article
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Monoclonal Antibodies in Next Generation Animal Nutrition: Mapping Nutrient Immune Interaction Networks in Livestock Systems
Abstract: Sustainable livestock production is increasingly constrained by disease pressure, antimicrobial resistance, and declining feed efficiency under intensifying environmental stressors. Conventional nutritional strategies, while essential, remain insufficient to precisely regulate immune function and metabolic resilience. This review explores the emerging role of Monoclonal antibodies as advanced biologics in next generation animal nutrition, with a focus on mapping nutrient immune interaction networks in livestock systems. It synthesizes current knowledge on how nutrients …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 Read article
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Experimental Design for Transforming Student Life after COVID-19 with Mind-Body Practices
Abstract: Background: In the wake of the COVID-19 pandemic, the well-being and academic performance of students have faced unprecedented challenges. Objective: This study explores the transformative potential of mind body practices pranayama and meditation as holistic interventions to enhance student resilience and success. Method: The study included 50 participants who fulfilled the inclusion criteria were selected and assigned into control (n=25) and experimental (n=25) groups with a simple random sampling method. …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 3, 2023 · pp. 1–9 Read article
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Flexibility and Inclusion: Designing Modern Office Workspaces
Abstract: The modern workplace is undergoing significant transformations, driven by the need for flexibility and inclusion to accommodate a diverse and dynamic workforce. This research paper explores the principles and practices of designing inclusive office spaces that are adaptable, accessible, and supportive of all employees, regardless of their physical abilities, cultural backgrounds, or personal needs. Through a comprehensive literature review, this study examines the evolution of office design, focusing on key …
Published in International Journal of Urban Design and Development · Vol. 2, Issue 2, 2024 · pp. 32–47 Read article
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Autonomous Agentic AI for Adaptive Cure Optimization and Defect Prevention in Thermoset Polymer Composite Manufacturing
Abstract: Thermoset polymer composites occupy a central position in modern structural manufacturing, from aircraft fuselages to wind-turbine blades. Despite progress in resin chemistry and fiber architecture, the “cure process” that transforms compliant preforms into load-bearing structures remains difficult to manage. Manufacturers encounter ‘voids’, “interlaminar delaminations”, and “spring-back distortion” when curing complex or thick-section parts. The cause is not ignorance of the relevant physics, but rather that ‘temperature’, ‘chemistry’, ‘rheology’, and ‘mechanics’ …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 301–320 Read article