AI Enhanced Eye Detection Wheelchair with Smart Monitoring using Deep Learning
Pain Alleviating and Movement Assistive Device for Bone Fractured Patients
Nature’s Pharmacy: A Deep Learning approach for Identification of Medicinal Plants
Design and Implementation of an Analog and Mixed-Signal System on Chip for ECG Monitoring
Machine Learning: A Multifaceted Exploration of Trends, Regulations, and Global Impact
Chemistry and Chemical Engineering: Approaches, Observations, and Outlooks
Integration of PMS Software and Decision Matrix Tool Based on Data Acquired from Latest IT Advanced Sensors and 3D CAD Models in Marine Operations Field
Dynamic Changes in Mangrove Forest and Lu/Lc Variation Analysis over Indian Sundarban Delta in West Bengal (India) Using Multi-Temporal Satellite Data
The Impacts of Climate Change on Water Resources in Hilly Areas of Nepal
Development and Performance Evaluation of Magnetic Abrasive Finishing Setup for Thick Cylinders
An Analysis of Machining Forces On Graphite/Epoxy, Glass/Epoxy and Kevlar/Epoxy Composites Using a Neural Network Approach
Deformation Behaviour of Fe-0.8%C-1.0%Si-0.8%Cu Sintered P/M Steel during Powder Preform Forging
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Achieving Manufacturing Excelence by Applying LSSF Model – A Lean Six Sigma Framework
Design and Analysis of Piezo- Driven Valve-Less Micropump
Immunotherapy, a promising cancer treatment method, faces challenges such as off-target effects and limited efficacy. Researchers are utilizing nanotechnology to enhance the accuracy and effectiveness of immunotherapy. In a clinical trial, nanoparticles were used to directly carry immunomodulatory drugs to tumor locations, enhancing cytotoxic T cell activation and preventing tumor growth. Patients receiving nanoparticle-enhanced immunotherapy experienced longer progression-free survival times and higher response rates than those receiving standard immunotherapy alone. This study demonstrates how nanotechnology is revolutionizing immunotherapy approaches for focused cancer treatment.
This paper introduces an intelligent safety life jacket enhanced with Long Range (LoRa) technology to address the pressing need for improved water safety measures. The proposed life jacket integrates cutting-edge features to offer a comprehensive safety solution for both recreational users and professionals in aquatic environments. Key functionalities include automatic inflation upon immersion, GPS-based location tracking, and real-time monitoring of vital signs through embedded biometric sensors. Leveraging LoRa technology enables the life jacket to transmit distress signals over extended distances, facilitating swift and precise rescue operations. Additionally, machine learning algorithms are employed to analyze sensor data, enabling the detection of potential emergencies such as sudden immersion or irregularities in vital signs. This proactive approach enhances safety by enabling early intervention and accident prevention. Overall, the integration of intelligent features with LoRa technology represents a significant advancement in water safety, with the potential to save lives and elevate safety standards in aquatic activities worldwide. These capabilities are also applicable to water accident scenarios where individuals immersed in cold water face similar risks of hypothermia, and this device could provide crucial monitoring and alert capabilities in such situations.
The movable type printing press was the signal innovation in early modern information technology, but economists have found no evidence of its impact on measures of aggregate productivity or income per person. This paper examines the impact technological advancement has brought to the printing industry. The printing industry has witnessed drastic changes in the machines used in this industry, such as automation and the elimination of other processes previously done. Additionally, it explores how the emergence of electronic media has affected the production of print media, leading to a decline in print media production. New technologies have benefited printing companies by reducing expenditures through the employment of fewer staff, but this also minimizes job opportunities in the printing industry. The paper also investigates whether printing companies and printers are satisfied with the new technologies being introduced.
This comprehensive analysis delves into various crucial facets of biomedical engineering, covering cutting-edge technologies, creative methodologies, and ethical dilemmas. Quality Management Systems (QMS) play a pivotal role in maintaining precision, safety, and efficacy in lab experiments and biomedical product development, ensuring adherence to strict quality standards through guidelines like Good Laboratory Practice (GLP) and Good Manufacturing Practice (GMP). Advancements in medical imaging, from X-ray CT to molecular imaging, are revolutionizing disease diagnosis and treatment across multiple medical fields. Biomaterials and tissue engineering hold immense potential in regenerative medicine, addressing challenges like immune rejection and implant wear to meet diverse healthcare needs. Biomechanics and rehabilitation engineering merge biomechanical principles with assistive technologies to empower individuals with disabilities and improve their daily autonomy. Biomedical sensors, devices, and nanotechnology are driving personalized healthcare solutions, enhancing disease management through wearable and implantable technologies. Regulatory policies in India underscore the importance of strict regulations for medical devices and therapeutics to ensure safety and efficacy. Overall, this review highlights the transformative impact of biomedical engineering on healthcare advancements and societal well-being through responsible innovation and ethical practices.
Bioinformatics has become crucial in biomedical research, enabling the processing of massive volumes of high- throughput data generated by various omics technologies. This work investigates the use of bioinformatics tools to process, analyze, and interpret omics data, including genomics, transcriptomics, proteomics, and metabolomics. It provides an overview of widely used bioinformatics methodologies and algorithms for data preparation, quality control, differential expression analysis, pathway analysis, and functional annotation. The study also highlights current trends and challenges in bioinformatics, such as integrating multi-omics data and developing machine learning algorithms for predictive modeling. This work aims to encourage academics to utilize bioinformatics methods to gain insights into complex biological systems and enhance our understanding of human health and disease.
