Insights & Blog | Serkan DÖLEK

30 Jun 2026

The Mystery of Physics in Cancer Diagnosis: The Magic Molecule FDG and the PET/CT System

#FDG #PET CT #NUCLEAR MEDICINE #CANCER DIAGNOSIS #CYCLOTRON #POSITRON #ONCOLOGY #FLUORODEOXYGLUCOSE #RADIOPHARMACEUTICAL #PHYSICS ENGINEERING

FDG (Fluorodeoxyglucose), a radioactive sugar molecule, combined with PET/CT imaging technology, represents one of modern oncology's most powerful weapons. In this in-depth article, we explore everything from FDG's molecular structure and cyclotron production, to positron physics and the cancer cell trapping mechanism.

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21 Jun 2026

From Steel to Finish: The Definitive Guide to Surface Preparation and Liquid Coating

#ABRASIVE BLASTING #SA 2.5 #PHOSPHATING #WHEELABRATOR #VACUUM BLASTING #HYDROBLASTING #LIQUID PAINT APPLICATION #PAINT DEFECTS #BLISTERING #EN ISO 8501 #EN ISO 12944 #DRY FILM THICKNESS #SURFACE PROFILE #CORROSION PROTECTION

A comprehensive deep-dive covering every blasting method in detail, the complete phosphating process line, liquid paint application principles, illustrated paint defect identification with photographic references, and the full EN ISO standard hierarchy — written for engineers, inspectors, and coating professionals.

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11 Jun 2026

Ex-Proof Zone Classification in Refineries, Petroleum Storage and Tanker Loading Terminals: A Complete Engineering Guide to NFPA and ATEX Standards

#EX-PROOF #ATEX #NFPA 497 #EXPLOSIVE ATMOSPHERE #REFINERY SAFETY #ZONE CLASSIFICATION #TANKER LOADING #PETROLEUM STORAGE #IEC 60079 #HAZARDOUS AREA #LOPA #SIL #PROCESS SAFETY

A comprehensive technical article covering Ex-Proof (explosion-protected) zone classification principles in refineries, petroleum storage facilities and tanker loading terminals — examining Zone 0/1/2 and Division 1/2 concepts under NFPA 497/70, IEC 60079 and ATEX directives, equipment selection, prevention policies, safety documentation systems and digital transformation tools.

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04 Jun 2026

The Second Industrial Revolution in 2040: Artificial Neural Networks and Global Socio-Economic Collapse

#AI #NEURAL NETWORKS #INDUSTRIAL REVOLUTION #SOCIOECONOMIC COLLAPSE #AUTOMATION #LABOR MARKET #INEQUALITY #UBI #GLOBAL SOUTH #AGI

This paper argues that the convergence of large-scale artificial neural networks, autonomous agentic systems, and exponentially scaling compute by 2040 constitutes a civilisational inflection point structurally analogous - yet fundamentally more disruptive - than the First Industrial Revolution. Drawing on task-based macroeconomic models, Skill-Biased Technical Change (SBTC) theory, and empirical data from the IMF, OECD, Goldman Sachs, and McKinsey Global Institute, we demonstrate that current trajectories risk precipitating a global socio-economic collapse driven by unprecedented structural unemployment, catastrophic inequality amplification, and the dissolution of post-war social contracts.

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06 May 2026

MIG/MAG Welding Parameter Optimization via Machine Learning: Multi-Objective Evolutionary Algorithms for Welding Speed, Current, and Voltage

#MIG/MAG WELDING #MACHINE LEARNING #MULTI-OBJECTIVE OPTIMIZATION #NSGA-III #GAUSSIAN PROCESS REGRESSION #BAYESIAN OPTIMIZATION #ROBOTIC WELDING #INDUSTRY 4.0 #EVOLUTIONARY ALGORITHMS #WELDING AUTOMATION

A rigorous engineering analysis of applying Machine Learning and Multi-Objective Evolutionary Algorithms (NSGA-III, MOEA/D, Bayesian Optimization) to MIG/MAG welding process parameter optimization. Covers Gaussian Process surrogate modeling, Physics-Informed Neural Networks, Pareto front analysis, and closed-loop adaptive control with quantified industrial case studies.

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20 Apr 2026

Optimizing Carbon Footprint in Advanced Manufacturing Systems via IoT Data (Green Industry 4.0)

#GREEN INDUSTRY 4.0 #IOT #IIOT #CARBON FOOTPRINT #SUSTAINABILITY #SMART MANUFACTURING #DIGITAL TWIN #CYBER-PHYSICAL SYSTEMS #OPTIMIZATION

An in-depth academic exploration of integrating Industrial Internet of Things (IIoT) data to optimize energy consumption and minimize carbon footprints in advanced manufacturing. Covers Digital Twins, Edge Computing, and Predictive Sustainability.

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