World Top Scientists Awards

  The rapid adoption of electric vehicles (EVs) is transforming global transportation systems. However, the success of this transition depends heavily on well-planned charging infrastructure. A data-driven framework offers a smart, evidence-based approach to designing EV charging networks that align with real-world demand, financial sustainability, and social fairness ⚡📈. By integrating analytics, spatial modeling, and economic insights, planners can ensure efficient, inclusive, and future-ready charging solutions. 📊 Demand Estimation: Understanding Where and When Charging Is Needed Accurate demand estimation lies at the heart of effective EV infrastructure planning. Using data from traffic flows, vehicle ownership patterns, travel behavior, and charging usage logs , planners can forecast charging needs across time and space 🚘📍. Advanced techniques such as machine learning models, time-series forecasting, and mobility data analysis help identify peak demand hours, high-us...

  In today’s rapidly evolving digital era, large-scale infrastructure systems such as power grids, smart cities, transportation networks, and cloud-based enterprises are becoming more complex and interconnected. 🚆⚡🏙️ With this growth comes an increased exposure to cyber threats, making automated threat analysis not only a technical necessity but also a critical business strategy. 🔍 Introduction to Automated Threat Analysis Automated threat analysis refers to the use of intelligent systems that continuously monitor, detect, and predict cyber risks without relying solely on manual intervention. 🤖🔐 This approach ensures faster identification of vulnerabilities and proactive defense against attacks. 💼 Business-Oriented Perspective A business-focused model emphasizes aligning cybersecurity with organizational goals. Instead of viewing threat detection as purely an IT responsibility, companies integrate it into decision-making, risk management, and operational continuity. 📊?...

 The Best Research Article Awards honor outstanding scholars, innovators, and thinkers who contribute exceptional research that shapes the future of science, technology, medicine, and society. These awards recognize articles that demonstrate originality, strong methodology, and impactful discoveries. 🌟📚 🌟 Purpose of Best Research Article Awards 🎯 Encouraging Academic Brilliance These awards inspire researchers to publish high-quality work that advances global knowledge. 🔬 Promoting Innovative Discoveries They highlight breakthrough ideas that bring meaningful change in various disciplines. 📌 Key Areas of Recognition 🧪 Scientific Research Excellence Awarded to articles with strong experimental evidence and innovative approaches. 📊 Data-Driven Impact Research with clear statistical support, analysis, and practical relevance receives special appreciation. 🌱 Sustainable & Social Contributions Studies addressing environmental challenges, healthcare improvements...

 Palygorskite, a naturally occurring clay mineral, has recently gained attention in the oil and gas industry for its superior rheological properties. This study focuses on activated Greek Palygorskite and its performance in challenging drilling conditions , particularly high-salinity and high-hardness water-based drilling fluids (WBDFs) . Such conditions often compromise fluid stability, viscosity, and filtration control, making robust additives essential. 1. Material Characterization 🔬 Before application, Greek Palygorskite undergoes activation treatments to enhance its surface area, porosity, and dispersibility . Advanced characterization techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), and Fourier-transform infrared spectroscopy (FTIR) reveal its structural integrity and active sites, crucial for interaction with ions in saline and hard water environments. 2. Rheological Performance ⚙️ Activated Palygorskite improves the flow behavior o...

 Peri-implant infections are serious complications associated with orthopedic and dental implants. These infections occur when microorganisms adhere to implant surfaces and form biofilms , making them extremely difficult to detect and treat. Traditional diagnostic techniques often fail to identify the causative pathogens, leading to delayed treatment and implant failure ⚠️. Hence, advanced diagnostic approaches like sonication have gained significant clinical importance. 💡 Understanding Sonication Sonication is a laboratory technique that uses ultrasonic waves to dislodge bacteria embedded within biofilms on implant surfaces. By applying controlled sound energy, the biofilm matrix is disrupted, releasing hidden microorganisms into a fluid medium for accurate detection 🔊🧪. This method enhances microbial recovery compared to conventional tissue or swab cultures. 🧫 Role of Biofilms in Implant-Related Infections Biofilms act as protective shields for bacteria, enabling them to...

  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...

  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...

  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...

  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...

 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...