Technology Scientists

    Technology Scientists Awards =================== Website :  technologyscientists.com Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee To Contact :  support@technologyscientists.co #BestInnovatorAward #TechnologyScientistsAwards #Innovation #TechLeaders #FutureTech #ScientificExcellence #GlobalImpact #TechInnovation #PioneersInScience #NextGenTechnology

  Ultra low-power consumption is a critical requirement in embedded systems deployed in environments such as space missions and deep-sea explorations. These locations are characterized by scarce energy resources and limited accessibility, which makes long-term reliability and efficiency paramount. The adoption of ultra low-power microcontrollers with narrow data widths, typically 8-bit or 16-bit architectures, is common practice. However, without careful consideration of data widths during software development, the resulting applications may fail to achieve optimal performance. This research emphasizes compiler-level optimizations that exploit bit-level data usage for power savings and enhanced computational efficiency. Challenges in Ultra Low-Power Embedded Computing Designing for ultra low-power embedded systems introduces unique challenges. Limited computational capacity, restricted energy availability, and physical inaccessibility make system reliability and efficiency crucia...

The rapid growth of embedded storage capacity in South Africa between 2022 and 2024 has been primarily driven by residential users and telecommunication companies seeking resilience against frequent power supply interruptions. While these interruptions peaked in 2023 and have since decreased, the role of embedded storage in stabilizing energy access has become a critical point of investigation. Current planning models for the South African electricity system fail to incorporate embedded storage, raising concerns about distorted outcomes in system planning and forecasting. The Role of Embedded Storage in Electricity System Planning Embedded storage plays a crucial role in mitigating supply risks, particularly in contexts where generation capacity is unreliable. By not incorporating embedded storage in electricity planning models, forecasts risk underestimating the true flexibility of the system. This gap may lead to inefficient infrastructure investments, misaligned demand-supply bala...

  Smart cities integrate advanced technologies to enhance urban living, but they also introduce severe cybersecurity challenges due to interconnected systems and large-scale data flows. Conventional security models are often inadequate in identifying multistep and evolving attacks, leading to high false alarms and compromised resilience. To address these issues, advanced artificial intelligence (AI) and machine learning (ML) solutions are increasingly being employed to secure smart environments. This research introduces the Cybersecurity using Crested Porcupine Optimizer Algorithm with Hybrid Deep Learning Models (CCPOA-HDLM), a novel approach designed to enhance detection, classification, and defense capabilities in smart city networks. Cybersecurity Challenges in Smart Cities Smart cities rely on interconnected infrastructures, including transportation, healthcare, energy grids, and communication systems. These networks are highly vulnerable to cyber threats such as intrusion,...

  Parkinson’s disease (PD) is a common neurodegenerative disorder characterized by progressive motor dysfunction and neurodegeneration of dopaminergic neurons. Genetic mutations play a significant role in its etiology, and among the implicated genes, PINK1 has emerged as a crucial factor in maintaining mitochondrial health. This study focuses on the identification and analysis of deleterious non-synonymous single-nucleotide polymorphisms (nsSNPs) in the kinase domain of PINK1, using computational approaches to unravel their pathogenic potential. Role of PINK1 in Mitochondrial Dysfunction PINK1, a mitochondrial-targeted serine/threonine kinase, is vital for cellular defense against stress-induced mitochondrial damage. Mutations in this gene impair mitochondrial quality control and are strongly associated with autosomal recessive Parkinsonism. Investigating the molecular mechanisms by which pathogenic SNPs alter PINK1 structure and function can provide valuable insights into disea...

  Bronchopleural fistula (BPF) remains a significant complication following thoracic surgery due to its complex pathology and high mortality risk. Conventional surgical repair, though effective in some cases, often presents limitations in terms of invasiveness, postoperative recovery, and complication rates. Recent advances in interventional bronchoscopy, particularly the use of bronchial occluders, have opened new pathways for minimally invasive management. The integration of 3D printing technology for developing individualized occluders represents a promising advancement in precision medicine, offering tailored treatment strategies for patients with diverse anatomical variations. Clinical Application of 3D-Printed Occluders in BPF Management The adoption of 3D printing in bronchial occluder design has allowed clinicians to address patient-specific anatomical differences, ensuring a more accurate fit and enhanced therapeutic outcomes. Unlike conventional thoracotomy or commercia...

Technology Scientists Awards =================== Website :  technologyscientists.com Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee To Contact :  support@technologyscientists.co

Space-borne remote sensing has emerged as a cornerstone in modern climate change research, providing large-scale, continuous, and multi-dimensional datasets that enhance our understanding of Earth’s dynamic systems. This introduction sets the stage for exploring how advancements in satellite technologies have enabled the monitoring of climate indicators, bridging scientific knowledge with actionable insights for mitigation and adaptation strategies. Advancements in Remote Sensing Technologies The evolution of space-borne remote sensing technologies has revolutionized the way researchers study climate change. From early multispectral sensors to today’s hyperspectral, LiDAR, and radar-based systems, technological innovations have significantly improved accuracy, resolution, and coverage. These advancements allow for precise tracking of parameters such as atmospheric composition, vegetation health, sea-level rise, and ice sheet dynamics, thus offering a robust foundation for climate-r...

Technology Scientists Awards =================== Website :  technologyscientists.com Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee To Contact :  support@technologyscientists.com

  In the digital era, travel photography has transcended its traditional role as a form of memory preservation to become a powerful tool of self-representation and social communication . With the proliferation of platforms such as Weibo and Instagram, tourists increasingly use images to express identity, emotions, and social connections. This research explores how visual data, particularly tourists’ body postures, function as a form of symbolic interaction and identity construction within digital culture. By integrating computer vision and behavioral analysis, the study offers a deeper understanding of how tourists negotiate meaning and presence through online visual practices. Theoretical Framework: Symbolic Interactionism in Tourism Studies Symbolic interactionism provides a valuable lens for examining how tourists use body language and posture in photographs to convey meaning. Tourists’ visual self-representations are not isolated acts but rather social performances shaped by ...