Posts

Showing posts from January, 2026

Effect of the Supine Position and Anesthesia on Nasal Anthropometric Measurements in Rhinoplasty Patients 👃✨

Image
  Nasal anthropometry refers to the precise measurement of nasal dimensions, which plays a vital role in rhinoplasty planning and outcome evaluation. Accurate nasal measurements ensure facial harmony, functional balance, and patient satisfaction. However, these measurements can be influenced by several physiological and positional factors during surgery. 2. Importance of Patient Positioning in Rhinoplasty 🛏️ 2.1 Supine Position and Gravity Effects 🌍 During rhinoplasty, patients are placed in the supine position, causing gravity-induced soft tissue redistribution. This position may alter nasal width, tip projection, and dorsum height due to fluid shift and tissue relaxation. 2.2 Facial Soft Tissue Dynamics 🧬 The supine posture leads to increased facial blood pooling and edema, which can temporarily exaggerate nasal dimensions, potentially affecting intraoperative assessments. 3. Influence of Anesthesia on Nasal Measurements 💉 3.1 Muscle Relaxation and Tissue Compliance 😌 G...

🧠 Simulation Data-Based Dual Domain Network (Sim-DDNet) for Motion Artifact Reduction in MR Images

Image
  Magnetic Resonance Imaging (MRI) is a powerful, non-invasive diagnostic tool 🏥, but its image quality is highly sensitive to patient motion 🚶‍♂️💨. Even slight movements during scanning can introduce motion artifacts—blurring, ghosting, and distortions—that degrade diagnostic accuracy. To address this challenge, the Simulation Data-Based Dual Domain Network (Sim-DDNet) emerges as an innovative deep learning framework that significantly enhances MRI image quality by reducing motion-induced artifacts 🎯🧬. 🔍 Core Concept of Sim-DDNet Sim-DDNet is designed to operate simultaneously in two complementary domains : Image Domain 🖼️ Frequency (k-space) Domain 📡 By learning from both domains, the network captures spatial textures and frequency inconsistencies caused by motion, enabling more precise artifact correction than single-domain models ⚡. 🧪 Role of Simulation Data ➤ Motion Simulation Real motion-corrupted MRI data is difficult to obtain in large quantities...

🏆 Fast Cited Article Awards

Image
  The Fast Cited Article Awards recognize scholarly articles that achieve exceptional citation growth in a short time after publication. 📈✨ These awards celebrate research that not only contributes to knowledge but also immediately influences the global academic community , policy decisions, and real-world applications. 📌 Purpose of the Award The primary aim of this award is to highlight high-impact research that demonstrates relevance, originality, and urgency. 🧠🌍 By honoring fast-cited articles, the award encourages researchers to focus on timely topics , interdisciplinary approaches, and solutions to contemporary challenges. 🧪 Eligibility Criteria 📄 Article Requirements Published in peer-reviewed journals Indexed in recognized citation databases Demonstrates rapid citation accumulation ⏱ Time Frame Articles cited significantly within one to three years of publication 📊 Evaluation Metrics 🔢 Citation Velocity Measures how quickly an article gains citation...

🎮 A Conceptual Model for Designing Anxiety-Reducing Digital Games in Mathematics Education

Image
  Mathematics anxiety is a psychological barrier that affects learners’ confidence, problem-solving ability, and academic performance. Fear of failure, time pressure, negative classroom experiences, and abstract concepts often trigger stress 😰. This anxiety discourages students from actively engaging with mathematical content, making learning feel intimidating rather than enjoyable. 🎯 Purpose of Anxiety-Reducing Game Design The conceptual model aims to transform mathematics learning into a safe, motivating, and playful experience 🎉. By embedding emotional support mechanisms within digital games, students can explore mathematical ideas without fear. The model focuses on balancing cognitive challenge and emotional comfort , ensuring learners feel supported while progressing at their own pace. 🧩 Core Components of the Conceptual Model 🕹️ Game Mechanics & Adaptive Difficulty Games dynamically adjust difficulty levels based on learner performance. This prevents frustration an...

🤝 Enabling Humans and AI Systems to Retrieve Information from System Architectures in MBSE

Image
 Model-Based Systems Engineering (MBSE) transforms traditional document-centric engineering into a model-centric paradigm , where system architectures store rich, interconnected knowledge. As systems grow in complexity, enabling both humans and AI systems to retrieve precise information from these architectures becomes essential for informed decision-making, efficiency, and innovation 🚀. 🧠 Human–AI Collaborative Information Access Effective information retrieval bridges the cognitive strengths of humans with the analytical power of AI 🤖. Engineers rely on intuitive queries, visual navigation, and contextual understanding, while AI systems leverage machine learning, semantic reasoning, and pattern recognition to uncover hidden relationships within architectural models. 🔍 Natural Language and Semantic Queries Advanced retrieval mechanisms allow users to ask natural language questions , which are interpreted using semantic models and ontologies. This eliminates the need for de...

🤖 A Framework for a Digital Twin of Inspection Robots

Image
 A Digital Twin is a virtual replica of a physical system that mirrors its real-time behavior, performance, and environment. When applied to inspection robots , Digital Twin technology enables continuous monitoring, simulation, and optimization of robotic operations in complex and hazardous environments 🛰️. This framework bridges the physical robot with its digital counterpart, enhancing reliability, safety, and efficiency. 🧠 Core Architecture of the Digital Twin Framework The framework consists of a physical layer , a virtual layer , and a data integration layer . The physical layer includes inspection robots equipped with sensors, cameras, and actuators 📡. The virtual layer models the robot’s kinematics, dynamics, and environment in real time 🖥️. The data integration layer ensures seamless communication between both layers using IoT protocols and cloud platforms ☁️. 📊 Data Acquisition and Sensor Fusion Inspection robots rely on multiple sensors such as LiDAR, thermal came...

🏗️ Development of a BIM-Based Metaverse Virtual World for Collaborative Architectural Design

Image
Building Information Modeling (BIM) has revolutionized architectural design by enabling data-rich, intelligent 3D models 🧠🏢. When BIM is integrated with the Metaverse, it creates a shared virtual universe 🌍 where architects, engineers, and stakeholders can collaborate in real time. This fusion transforms static blueprints into immersive, interactive design ecosystems 🚀. 🧩 Core Components of a BIM-Based Metaverse 🏗️ BIM Data Integration BIM provides accurate geometric and semantic data, including materials, costs, and lifecycle information 📊. Embedding this data into a metaverse environment ensures design precision and consistency throughout the project lifecycle. 🕶️ Immersive Technologies Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) enable users to walk through buildings before construction begins 👣🏠. These technologies enhance spatial understanding and reduce design misinterpretations. 🤝 Collaborative Architectural Design 👥 Multi-User Interact...

🔐 Exploiting Blockchain Technology for Enhancing Digital Twins’ Security and Transparency

Image
  Digital Twins are virtual replicas of physical assets, systems, or processes that continuously receive real-time data from sensors and IoT devices 🔄. They enable predictive maintenance, performance optimization, and decision-making across industries such as manufacturing, healthcare, smart cities, and energy ⚙️🏥🌆. However, as Digital Twins heavily depend on data exchange, they face critical challenges related to security, trust, and transparency 🚨. ⛓️ Role of Blockchain Technology Blockchain is a decentralized, tamper-resistant, and transparent ledger system that records transactions securely 🔗. By integrating blockchain with Digital Twins, data can be stored and shared without relying on a centralized authority 🏛️❌. This ensures data integrity, traceability, and trust among multiple stakeholders 🤝. 🛡️ Enhancing Security in Digital Twins 🔑 Data Integrity & Immutability Blockchain ensures that once data is recorded, it cannot be altered or deleted ✋. This p...

🌟 Most Cited Author Awards: Honoring Global Research Impact

Image
  The Most Cited Author Awards celebrate researchers whose scholarly work has made a remarkable global impact through frequent citations in high-quality academic publications 📖✨. Citations are more than numbers—they reflect how often a study guides, influences, and inspires further research across disciplines 🌍🔬. This award recognizes authors whose ideas shape scientific conversations and drive innovation worldwide. 📊 Understanding Citation Excellence 🔍 What Are Citations? Citations indicate how often a researcher’s work is referenced by peers, showing its relevance, reliability, and originality 📈📚. High citation counts suggest that the research has become a foundational resource in its field. 🧠 Why Citations Matter Citations demonstrate academic trust 🤝, knowledge transfer, and long-term research value. They help assess research quality beyond publication numbers, highlighting true intellectual influence 🌟. 🌐 Criteria for Selection 📑 Quality Over Quantity...

🌿 Antimicrobial Activity and Phytochemical Profiling of Natural Plant Extracts for Biological Control of Wash Water in the Agri-Food Industry

Image
 The agri-food industry heavily relies on wash water to remove soil, debris, and microorganisms from fresh produce 🥬💧. However, contaminated wash water can become a major source of cross-contamination, spreading harmful pathogens across food products 🚨. To overcome this challenge, natural plant extracts have emerged as eco-friendly and sustainable alternatives to synthetic chemical disinfectants 🌍✨. 🧪 Phytochemical Profiling of Plant Extracts Phytochemical profiling focuses on identifying bioactive compounds present in plants that contribute to antimicrobial activity 🌿🔍. These include alkaloids, flavonoids, phenolics, tannins, saponins, and essential oils 🌼🧬. Advanced analytical techniques such as GC-MS, HPLC, and FTIR are widely used to characterize these compounds accurately 📊🔬. Understanding the phytochemical composition helps in selecting potent plant species for effective microbial control. 🦠 Antimicrobial Activity Against Wash Water Pathogens Natural plant extr...