World Top Scientists Awards

  The Most Liked Article Awards recognize outstanding written works that resonate deeply with readers across digital and academic platforms. These awards honor authors whose articles generate exceptional appreciation through likes, shares, and positive engagement. Beyond popularity, the award reflects clarity of thought, originality, relevance, and emotional connection with audiences worldwide 🌍✨. 🎯 Recognizing Reader-Driven Excellence This award highlights content that captures attention, sparks discussion, and inspires communities. It values reader voice , making engagement a powerful indicator of quality and influence 👍💬. 📊 Measuring Digital Impact Likes, reactions, and interactions are used as benchmarks to evaluate how effectively an article connects with its audience in the digital era 📱📈. 📝 Eligibility Criteria ✍️ Content Quality Articles must demonstrate originality, structured presentation, and meaningful insights supported by facts or experience 🔍🧠. 🌐...

  Graves’ disease is an autoimmune thyroid disorder marked by excessive production of thyroid hormones (hyperthyroidism). This hormonal surge accelerates metabolism, profoundly influencing body composition, appetite, and dietary behavior. Understanding these changes at the time of diagnosis is crucial for effective clinical management and nutritional intervention. 🌡️🧬 ⚖️ Alterations in Body Composition Newly diagnosed Graves’ disease patients often experience significant body composition shifts compared with euthyroid (normal thyroid function) individuals. 🧍‍♂️ Lean Mass Reduction Despite increased energy intake, patients frequently show loss of skeletal muscle mass , driven by heightened protein catabolism. This muscle wasting can lead to early fatigue and reduced physical strength. 💪⬇️ ⚖️ Fat Mass Changes Total body fat is often reduced due to increased lipolysis; however, fat distribution may vary, sometimes masking weight loss and complicating diagnosis. 🔥 🍽️ Ea...

Hydration heat plays a critical role in determining the durability, strength, and thermal performance of cement composites. In energy-efficient cement systems—especially those incorporating supplementary cementitious materials (SCMs)—accurate prediction of hydration heat is essential to prevent thermal cracking and reduce carbon emissions. Traditional experimental and empirical models are often time-consuming and limited in adaptability. 🚧 This has led to the emergence of Machine Learning (ML) as a powerful alternative for predictive modeling in sustainable construction. 🧠 Role of Machine Learning in Hydration Heat Prediction Machine learning techniques enable data-driven prediction by learning complex nonlinear relationships between material composition and thermal behavior. ML models can process large datasets involving cement chemistry, curing conditions, and admixture proportions to forecast hydration heat with higher accuracy and efficiency. ⚡ This approach significantly redu...

  🌐 Introduction to Wireless Sensor Networks (WSNs) Wireless Sensor Networks (WSNs) consist of tiny, battery-powered sensor nodes that cooperatively monitor physical or environmental conditions such as temperature, pressure, or motion. These nodes communicate wirelessly and are often deployed in remote or inaccessible areas, making energy efficiency a critical design challenge 🔌. One of the most energy-consuming operations in WSNs is neighbor discovery , where nodes identify nearby nodes to establish communication links. 🔍 Neighbor Discovery: Concept and Challenges Neighbor discovery is the process by which sensor nodes periodically wake up to detect and communicate with neighboring nodes 📶. Traditional discovery protocols rely on synchronized schedules or frequent wake-ups, leading to excessive energy consumption, idle listening, and reduced network lifetime ⏳. The challenge lies in achieving fast discovery while minimizing power usage , especially in large-scale, asynch...

  The Hydrogen Evolution Reaction (HER) is a cornerstone process in sustainable energy technologies, enabling the conversion of water into clean hydrogen fuel 🔋💧. Developing cost-effective, high-performance, and durable electrocatalysts is essential to replace precious metal catalysts like platinum. Transition-metal-based composites have emerged as promising alternatives due to their tunable electronic structures and abundant active sites. 🔹 2. Graphitic Carbon Nitride (g-C₃N₄): A Functional Support 🌿 Graphitic carbon nitride (g-C₃N₄) is a metal-free, polymeric semiconductor known for its high nitrogen content, chemical stability, and layered structure . Key advantages include: Rich nitrogen sites for electron donation ⚛️ Large surface area enhancing catalyst dispersion Excellent corrosion resistance under electrochemical conditions These features make g-C₃N₄ an ideal support material for boosting catalytic activity. 🔹 3. Cobalt Diselenide (CoSe₂): An Active HER ...

Green Data Centres represent the future of digital infrastructure by balancing rapid technological growth with environmental responsibility. As data consumption rises exponentially, conventional data centres consume massive amounts of electricity and water, contributing to carbon emissions. Green Data Centres address this challenge by integrating renewable energy, energy-efficient technologies, and nature-inspired Green–Blue Infrastructure to create sustainable, resilient, and eco-friendly digital ecosystems 🌍. ⚡ 1. Green Energy Integration 1.1 Renewable Power Sources Green Data Centres primarily rely on renewable energy sources such as solar ☀️, wind 🌬️, hydroelectric 💧, and geothermal energy. These clean energy sources significantly reduce dependence on fossil fuels and minimize greenhouse gas emissions. 1.2 Energy Storage and Smart Grids Advanced battery storage systems and smart grids ensure uninterrupted power supply. AI-driven energy management systems optimize energy us...

  Atrial Fibrillation (AF) is one of the most common cardiac rhythm disorders and a major risk factor for stroke and heart failure. Early and continuous detection is crucial, yet traditional hospital-based monitoring is costly and inconvenient. With the rapid growth of wearable health devices , an Edge AI–based approach enables real-time AF detection directly on the device using heartbeat intervals (RR intervals) . This innovative method combines artificial intelligence, low-power computing, and personalized healthcare , offering a scalable solution for continuous heart monitoring 🧠⌚. ❤️ Understanding Atrial Fibrillation AF is characterized by irregular and rapid heart rhythms , leading to inconsistent heartbeat intervals. Key challenges in AF detection include: Intermittent nature of AF episodes High false positives in traditional methods Power and memory constraints in wearable devices Analyzing heartbeat interval variability provides a reliable and lightweight sign...

  World Top Scientists Awards Onion solid waste, often discarded during food processing, is actually a hidden reservoir of powerful natural antioxidants 🧪🌿. Rich in flavonoids such as quercetin and phenolic compounds, this agro-industrial byproduct offers a sustainable opportunity to recover value-added bioactives. Harnessing these compounds not only reduces food waste ♻️ but also supports the development of clean-label and functional foods 🍞🥗. ⚙️ Pressurized Liquid Extraction (PLE): A Green Technology Pressurized Liquid Extraction is an advanced and eco-friendly technique 🌍⚡ used to efficiently recover antioxidants from onion waste. Key Features of PLE: Uses high pressure and controlled temperature 🔥 Enhances solvent penetration and extraction yield 💧 Reduces extraction time and solvent consumption ⏱️ Compared to conventional extraction, PLE preserves the bioactivity of antioxidants while ensuring higher purity and efficiency 🌟. 🧬 Characterization of Rec...

  🔍 1. Introduction to Titanium Dioxide in Food Titanium dioxide (TiO₂) is a widely used food additive, commonly labeled as E171 , added to enhance brightness, whiteness, and visual appeal of processed foods 🍬🥛. Its nanoscale properties improve texture and color stability, but these same properties raise concerns regarding its interaction with biological systems, especially the human gastrointestinal tract. 🧪 2. Human Intestinal Cell Systems as a Study Model Human intestinal cell systems, such as Caco-2 and HT29 cell lines , serve as advanced in-vitro models to simulate intestinal absorption and barrier function 🧫. These systems provide a controlled environment to evaluate cellular uptake, intracellular distribution, and biological responses of TiO₂ particles after oral exposure. ⚠️ 3. Understanding Genotoxic Potential Genotoxicity refers to the ability of a substance to damage genetic material, potentially leading to mutations, chromosomal instability, or cancer 🧠🧬. Ev...

  ✨ Introduction Autonomous Decentralized Cooperative Control in DC microgrids represents a transformative shift in modern power systems ⚡. By directly connecting batteries to the baseline DC bus, this approach eliminates dependency on centralized controllers and complex communication networks 📡. The result is a resilient, flexible, and intelligent microgrid capable of self-regulation, seamless energy sharing, and enhanced reliability—making it ideal for renewable-rich and remote power applications 🌱. 🧠 Core Concept of Decentralized Control Decentralized control empowers each energy unit—such as batteries, photovoltaic systems, and loads—to operate independently while cooperating with neighboring units 🤝. Instead of a single master controller, local controllers make real-time decisions based on voltage and current variations 📊. This autonomy significantly reduces system vulnerability and ensures continuous operation even during component failures 🛡️. 🔌 Direct Battery C...