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🌐 A Scalable Framework for Real-Time Network Security Traffic Analysis and Attack Detection Using Machine & Deep Learning 🤖

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 In today’s hyper-connected cyber realm 🌍, massive volumes of network traffic surge every millisecond. Detecting malicious patterns amidst this data deluge demands real-time, intelligent frameworks . This study proposes a scalable, AI-powered infrastructure that autonomously monitors, analyzes, and detects security anomalies before they escalate into full-blown cyber threats 🚨. ⚙️ 2. Framework Architecture: Building the Digital Shield The proposed framework integrates distributed computing and automated intelligence pipelines to ensure speed, precision, and adaptability. 2.1 Data Ingestion Layer 🧩 – Continuously captures live traffic from diverse sources like IoT devices, cloud servers, and routers. 2.2 Preprocessing Engine 🧠 – Cleans, normalizes, and transforms raw packets into structured, feature-rich datasets. 2.3 Scalable Infrastructure ☁️ – Employs technologies such as Apache Kafka and Spark Streaming for real-time data handling and scalability. 🧬 3. I...

🌱 Development of an Optimization Algorithm for Designing Low-Carbon Concrete Materials Standardization with Blockchain Technology and Ensemble Machine Learning Methods

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  The construction industry is a major contributor to global CO₂ emissions. The quest for low-carbon concrete materials is critical for sustainable infrastructure. By integrating optimization algorithms , blockchain technology , and ensemble machine learning (ML) methods , engineers can revolutionize material design, ensure standardization, and enhance transparency. 1️⃣ Low-Carbon Concrete Materials 🏗️ Definition & Importance: Concrete with reduced carbon footprint, achieved by substituting cement with sustainable materials like fly ash, slag, or biochar. Environmental Benefits 🌿: Lower greenhouse gas emissions, resource conservation, and energy efficiency. Challenges ⚠️: Balancing durability, workability, and structural integrity with sustainability. 2️⃣ Optimization Algorithms for Material Design ⚡ Objective Functions 🎯: Minimize carbon emissions while maximizing strength and cost-efficiency. Techniques & Approaches 🔍: Genetic algorithms, particle...

🌟 Pilot Exploratory Study of a CT Radiomics Model for the Classification of Small Cell Lung Cancer (SCLC) and Non-Small-Cell Lung Cancer (NSCLC) in the Moscow Population: A Step Toward Virtual Biopsy 🌟

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 Lung cancer is one of the leading causes of cancer-related deaths worldwide. In this innovative pilot study, researchers in Moscow explored the potential of CT radiomics — a cutting-edge field that transforms standard CT images into quantitative data — to distinguish between Small Cell Lung Cancer (SCLC) and Non-Small-Cell Lung Cancer (NSCLC) . This approach offers a promising step toward the concept of a “virtual biopsy” , where diagnosis could be made without invasive tissue sampling.  🔍 Topic 1: Understanding Radiomics and Its Role 📊 Subtopic: From Images to Insights Radiomics involves extracting a large number of features from CT scans, such as texture, intensity, and shape . These hidden features provide valuable clues about tumor biology and behavior, enabling AI-powered models to detect subtle differences between cancer subtypes that human eyes might miss. 🤖🧬 🧩 Subtopic: The Virtual Biopsy Concept Traditional biopsies are often invasive and risky. Virtual bi...

✨ Optimal Treatment Strategies for Early-Stage Primary Mediastinal Germ Cell Tumors ✨

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  Primary Mediastinal Germ Cell Tumors (PMGCTs) are rare neoplasms that arise in the mediastinum , the central area of the chest. Early-stage detection is vital, as it significantly enhances the success of treatment and long-term survival rates. Understanding the optimal treatment strategies ensures better patient outcomes and reduced recurrence. 🌿 🌈 1. Overview of Early-Stage PMGCTs PMGCTs are categorized into seminomatous and non-seminomatous types. Seminomas : Usually sensitive to chemotherapy and radiotherapy. Non-seminomatous tumors : More aggressive, often requiring multimodal treatment. Early diagnosis through CT/MRI imaging and tumor marker analysis (AFP, β-hCG, LDH) plays a key role in determining the treatment pathway. 💊 2. Chemotherapy Approaches Chemotherapy remains the cornerstone of treatment for PMGCTs. BEP Regimen (Bleomycin, Etoposide, Cisplatin) is the most common protocol. For patients with mild toxicity concerns, EP regimen may b...

🌿 Skin Cancers in People Living with Human Immunodeficiency Virus (HIV) Infection 🌿

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  The association between Human Immunodeficiency Virus (HIV) and skin cancers has gained global attention due to the increasing life expectancy of HIV-positive individuals. With effective antiretroviral therapy (ART) improving immunity, the spectrum of malignancies in these patients has also evolved. Skin cancers, once rare, are now emerging as a major health concern requiring multidisciplinary care and early intervention. 🌞 1. Introduction to the Link between HIV and Skin Cancer People living with HIV (PLHIV) experience chronic immune suppression, making them more susceptible to oncogenic viruses and abnormal cell growth . This weakened immunity reduces the body's ability to repair DNA damage caused by ultraviolet (UV) radiation — a key trigger for skin malignancies . 🧬 2. Types of Skin Cancers Common in HIV Patients Kaposi’s Sarcoma (KS): Often considered the signature cancer of HIV infection, caused by Human Herpesvirus-8 (HHV-8) . It manifests as purple, red, o...

🌟 Interdisciplinary Research Excellence Award

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🌐 Introduction: Bridging Boundaries, Building Brilliance The Interdisciplinary Research Excellence Award 🏆 celebrates visionary minds who unite multiple fields of study to craft revolutionary innovations. It recognizes researchers who transcend traditional academic boundaries, blending science, technology, humanities, and creativity to solve global challenges 🌍. This award honors collaboration, innovation, and impact — the pillars of modern discovery. 🔬 1. Essence of Interdisciplinary Research a. Fusion of Fields 🤝 Interdisciplinary research is the art of combining diverse disciplines — physics with philosophy, biology with AI, or economics with environmental studies 🌿 — to uncover holistic solutions. b. Expanding Knowledge Horizons 🌈 It encourages researchers to think beyond silos, fostering creative breakthroughs that traditional single-domain studies may overlook. 💡 2. Purpose of the Award a. Inspiring Collaboration 💬 The award motivates scholars to form partner...

🌐 A Resilient Energy-Efficient Framework for Jamming Mitigation in Cluster-Based Wireless Sensor Networks 🔋🛰️

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  In the era of smart communication and IoT evolution, Wireless Sensor Networks (WSNs) play a crucial role in connecting devices intelligently. However, these networks face severe threats such as jamming attacks , which disrupt communication by interfering with signal transmission. To counter this, a resilient and energy-efficient framework has been designed to ensure secure, stable, and long-lasting network performance. 🌱✨ 🧠 1. Introduction: The Need for Resilient WSNs Wireless Sensor Networks consist of numerous tiny sensor nodes that collect and transmit data. But when malicious jammers block the communication channels, energy gets drained and network efficiency drops. Hence, the proposed framework focuses on sustainability, robustness, and adaptability to protect against such disturbances. ⚙️💡 🔰 2. Energy-Efficient Mechanism The framework introduces cluster-based communication , where nodes are grouped into clusters with a Cluster Head (CH) managing data aggregat...