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242 articles for “Bio-monitoring”
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Signal Drift Compensation in Polymer-Based Wearable Biosensors Using Data Processing Techniques
Abstract: Polymer-based wearable biosensors have emerged as promising platforms for continuous physiological monitoring due to their mechanical flexibility, low operating voltage, and compatibility with soft biological interfaces. However, their long-term deployment remains challenging because of signal drift caused by polymer ageing, hydration–dehydration cycles, ionic trapping, and environmental variations. These effects introduce baseline fluctuations and sensitivity degradation, which compromise the reliability and interpretability of physiological measurements. This study proposes a data-processing–driven framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 197–207 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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Role of the Surgical-Ward Nurse in Identifying, Escalating, and Managing Postoperative Anastomotic Leak in Colorectal Patients: A Narrative Synthesis in an Australian Nursing Perspective
Abstract: Purpose: Postoperative colorectal anastomotic leak (AL) is one of the most feared complications after colorectal surgery because of its association with sepsis, reoperation, mortality, prolonged hospital stay, delayed adjuvant therapy, and permanent stoma formation. This narrative practice review outlines the frontline role of surgical-ward nurses in the early identification, escalation, and interim management of AL within the Australian acute-care context. Methods: A narrative synthesis of contemporary consensus statements, systematic reviews, …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 7–12 Read article
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Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
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Polymer Chemistry of Ion-Selective Membranes and Hydrogels for Clinical Sodium Sensing: Advances and Perspectives
Abstract: Accurate and timely monitoring of serum sodium levels is critical in diagnosing and managing hyponatremia, a common and potentially life-threatening electrolyte disorder. Recent advances in polymer chemistry have driven the development of ion-selective membranes and hydrogels tailored for clinical sodium sensing, bridging the gap between material science and biomedical diagnostics. This review critically examines the design and synthesis of polymeric materials—focusing on block copolymers, conductive polymers, and stimuli-responsive hydrogels—used to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 895–901 Read article
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Multi-Parameter Biomedical Sensor-Based Mental State Classification Using EEG And Deep Learning Techniques
Abstract: With mental health concerns becoming increasingly widespread, there is a strong need for systems that can monitor conditions like stress, anxiety, and fatigue in a continuous and non- invasive manner. This research proposes a novel multi-parameter biomedical sensing framework for mental state classification by integrating electroencephalography (EEG) signals with physiological parameters, including body temperature acquired using LM35 sensors, heart rate from pulse sensors, and blood oxygen saturation (SpO₂) measurements. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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How Microfluidics Are Used in Modern Science: Lab-on-A-Chip
Abstract: Microfluidics has changed modern research by making lab-on-a-chip (LOC) technologies that combine multiple lab functions into small, portable devices. These little platforms make it easier to correctly handle small amounts of fluid, which saves time, money, reagents, and automation. This article talks about microfluidics and how it helps LOC technology go forward in all areas of science. We look at important uses of biomedical diagnostics, drug development, environmental monitoring, and …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 2, 2025 · pp. 35–48 Read article
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The Kinectics of Petroleum Hydrocarbon Degradation in Soil: The Concept of Ponderosa Lemon Integrity as Bio-stimulant
Abstract: The kinesics of petroleum hydrocarbon degradation in soil: the concept of ponderosa lemon integrity as bio-stimulant with respect to the impact of preparation condition of room and sun-dried was monitored. The kinetic values of the effect of the biostimulant dosage were monitored and the data obtained from the experimental investigation was useful in the computation of the maximum specific rate of the substrate degradation and the dissociation constant of the …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 22–32 Read article
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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
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AI-Powered Approaches to Environmental Challenges: Trends, Benefits, and Limitations
Abstract: Dynamic and unpredictable characteristics of environmental processes create challenges in their management and regulation. Artificial intelligence (AI) offers a powerful solution for addressing these complexities.AI tools have become more and more popular across a range of fields and research domains due to their efficient development and rapid growth. We analyse key trends in AI applications, including predictive analytics for climate modelling, automated monitoring of biodiversity, and smart resource management. The …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Nanomaterial Embedded in Sensor Technology: A New Era of Sensing Solutions
Abstract: The emergence of nanotechnology has catalyzed remarkable advances in sensor technology, leading to the development of highly sensitive and selective devices critical for a wide range of uses, from environmental monitoring to biomedical diagnostics. Nanomaterials, characterized by unique physical and chemical properties at the nanoscale, serve as effective building blocks for these sensors. This article explores the incorporation of nanomaterials in sensor technology, detailing their operational mechanisms, benefits, and challenges. …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 1, 2025 · pp. 13–23 Read article
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A Review of Biotechnology Advancements as Key Drivers of Scientific Innovations
Abstract: The rising human challenges have necessitated the quest to find lasting solutions to improve living standards. Challenges in food security in terms of quality and quantity, medical and health issues, energy deficiency and limitations in areas of transportation, domestic and industrial needs, as well as environmental issues are some major areas of application of biotechnology to sustain human existence. This review examines major scientific innovations driven by biotechnology. Biotechnology applied …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 22–33 Read article
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Scientific Trajectories in Indian Virology: Innovations, Institutions, and Impact
Abstract: India's substantial research on epidemiology, virology, and public health measures has helped the world understand viral infections better. This article gives an overview of virus research in India, starting with early studies on arboviruses and enteroviruses and going all the way up to current studies on new and re-emerging pathogens including SARS-CoV-2, Nipah, and Zika viruses. Over the decades, India has built a rich legacy in virus research through pioneering …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 11–20 Read article
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Real-Time Edge Detection Camera Module Using Discrete Taylor Transform and Heat Equation (PDE): An Applied Mathematical Approach
Abstract: In modern digital signal processing, the capability for denoising and smoothing in real time is very important in scientific, engineering, and industrial applications. This paper presents an efficient hybrid framework that merges two mathematically sound methods, namely, DTT and PDE defined as the Heat Equation, to robustly denoise a signal with minimal distortion. The model addresses one of the most challenging tasks in signal restoration, which maintains the fidelity of …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Remote Monitoring Sensor Systems and Applications in Health Informatics: Fostering Shell Programming
Abstract: The fascination of sensor systems has been promising for health informatics as their direct initiative for real-time information by observing its accuracy that was required at the time for data collection, monitoring and analysis to improve patient well-being and health system administering. By integrating these systems with wearable devices, biomedical sensors, and other IoT-enabled technologies, patients can experience continuous health tracking, early disease detection, and remote patient monitoring. For example, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Nanotechnology-Enhanced Wearable Biosensors for Liver Disease Detection: Integration with AI for Predictive Analytics
Abstract: The worldwide health burden of liver diseases is substantial, and effective treatment and management depend heavily on early detection. This study investigates the integration of nanotechnology-enhanced wearable biosensors with artificial intelligence (AI) techniques for predictive analytics in liver disease detection. The construction of extremely selective and sensitive biosensors that can identify a variety of biomarkers linked to liver illnesses has been made possible via nanotechnology. These nanotechnology-based biosensors can be …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 1, 2024 · pp. 22–36 Read article
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Kinetics of Soil Contaminant Degradation Enhanced by Jatropha Tanjorensis Leaf Bio-Stimulant
Abstract: The data obtained from the experiment show a high viability of the plant extracts in the biodegradation process, the maximum specific rate was determined. Also, application of Michael Menten’s equation were also applied, the maximum dissociation rate constant was obtained from lineweaver bulk plot, for both sun-dried and room dried at 100 g of CPED and CPEL as RMAX to be 1000 ppmday-1 and 555.55 ppmday-1 whereas KPTH 3190.16 ppm-1 …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 01–06 Read article
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Extracellular Vesicle-Based Liquid Biopsies: Decoding the Tumor Microenvironment for Precision Oncology
Abstract: The tumor microenvironment (TME) plays a pivotal role in cancer initiation, progression, and therapeutic response. Decoding the TME is, therefore, essential for advancing precision oncology. Extracellular vesicles (EVs), including exosomes and microvesicles, are nanoscale lipid bilayer particles secreted by tumor and stromal cells. They transport a wide range of bioactive molecules, such as DNA, RNA, proteins, lipids, and metabolites, which reflect the dynamic state of the TME. Recent advances in …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 43–62 Read article
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Evaluation of Lemon Grass (Cymbopogon Citratus) Performance for Petroleum Hydrocarbon Degradation in Soil Environment
Abstract: The evaluation of lemon grass (cymbopogon citratus) performance for petroleum hydrocarbon degradation in soil environment was monitored with respect to contact time or period of exposure. Models were developed in this research to demonstrate the potential of the first-order kinetic, Michaelis Menten and the LineWeaver Burk Plot, and the evaluation of the effect of the biostimulant dosage was monitored in accordance the total petroleum hydrocarbon degradation. The performance of lemon …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 33–49 Read article
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Advancements in Nanotechnology and Biosensor Integration for Detection and Treatment of Alice in Wonderland Syndrome
Abstract: Alice in Wonderland Syndrome (AIWS) is an uncommon neurological condition characterized by profound distortions in perception. Individuals with AIWS experience altered body image and spatial awareness, often perceiving objects, surroundings, or even their own body as being unusually large, small, or distorted. The condition presents a unique challenge for both diagnosis and management due to its elusive and varied symptoms. This paper explores how advancements in nanotechnology and biosensor integration …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 1–12 Read article