Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review by Kholoud Elnaggar, Mostafa M. El-Gayar, Mohammed Elmogy

“…The survey highlights advancements in EEG preprocessing, feature extraction, and model development, showcasing how these approaches enhance the diagnostic precision, scalability, and automation of depression detection. …”
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End-to-End Security Mechanism Using Blockchain for Industrial Internet of Things by Muhammad Shahid Dildar, Adnan Shahid Khan, Irshad Ahmed Abbasi, Reema Shaheen Naseem Akhtar, Khalil Al Ruqaishi, Shakeel Ahmed Ghulam Sarwar

“…The current security solutions seem to fail in terms of security, scalability, data efficiency, integrity, and the actual needs of IIoT. …”
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Advances in carbon dioxide capture and conversion technologies: Industrial integration for sustainable chemical production by Okezie Emmanuel, Rozina, Thaddeus C. Ezeji

“…While technologies such as adsorption, absorption, membrane separation, and cryogenics have shown promise, challenges related to cost, scalability, and the efficiency of capture and utilization continue to pose significant barriers to widespread adoption. …”
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Deploying the Qline System for a QKD Metropolitan Network on the Berlin OpenQKD Testbed by Matheus Sena, Georg Harder, Ronny Doring, Ralf-Peter Braun, Michaela Ritter, Oliver Holschke, Marc Kaplan, Marc Geitz

“…Later on, a more complex experimental scheme is integrated into Berlin OpenQKD optical fiber testbed encompassing multiple C-band frequencies (191.75–195.75 THz) and extending over metropolitan distances (up to 39.8 km), providing a foundation for secure quantum communication networks with enhanced scalability and versatility.…”
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Introduction to deep learning methods for multi‐species predictions by Yuqing Hu, Sara Si‐Moussi, Wilfried Thuiller

“…Popular species distribution models use statistical and machine learning methods but face limitations with multi‐species predictions at the community level, hindered by scalability and data imbalance sensitivity. This paper explores the potential of deep learning methods to overcome these challenges and provide more accurate multi‐species predictions. …”
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AI augmented edge and fog computing for Internet of Health Things (IoHT) by Deepika Rajagopal, Pradeep Kumar Thimma Subramanian

“…The primary limitation of these cloud frameworks right now is their limited scalability, which results in their inability to meet needs. …”
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ZenLDA: Large-Scale Topic Model Training on Distributed Data-Parallel Platform by Bo Zhao, Hucheng Zhou, Guoqiang Li, Yihua Huang

“…ZenLDA also showed good scalability when dealing with large-scale topic models on the data-parallel platform. …”
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State of the Art of CFD-DEM Coupled Modeling and Its Application in Turbulent Flow-Induced Soil Erosion by Jun Xu, Fei Wang, Ruth Abegaz

“…Knowledge gaps and future directions: these involve identifying unresolved issues in current fluid–soil interaction models, with an emphasis on improving the accuracy and scalability of CFD-DEM simulations. By delving into these aspects, the review aims to advance the understanding of fluid–soil interactions and provide insights into optimizing modeling techniques for geotechnical engineering applications. …”
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DFAST_QC: quality assessment and taxonomic identification tool for prokaryotic Genomes by Mohamed Elmanzalawi, Takatomo Fujisawa, Hiroshi Mori, Yasukazu Nakamura, Yasuhiro Tanizawa

“…Existing tools for genome verification often involve extensive computational resources or lengthy processing times, which can limit their accessibility and scalability for large-scale projects. There is a need for more efficient, user-friendly solutions that can handle diverse datasets and provide accurate results with minimal computational demands. …”
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Filter for Traffic Congestion Prediction: Leveraging Traffic Control Signal Actions for Dynamic State Estimation by Younus Hasan Taher, Jit Singh Mandeep, Mohammad Tariqul Islam, Omer Tareq Abdulhae, Ahmed Thair Shakir, Md. Shabiul Islam, Mohamed S. Soliman

“…The evaluation focuses on the models’ scalability, adaptability to complex traffic networks, and robustness in communication failure scenarios. …”
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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…Furthermore, OptiE2ERL enhances network scalability and robustness, making it a superior choice for IoV applications. …”
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Magnetic polydimethylsiloxane microspheres as hydrophobic collectors for oil removal by J G Cabal-Velarde, A Lobo Guerrero, E Araujo, E Romero-Tela, J L Sánchez-Llamazares, A Encinas

“…This study presents a scalable method for fabricating magnetic polydimethylsiloxane (PDMS) microspheres using commercially available oil-based ferrofluid. …”
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Synergistic Antibacterial Action of Norfloxacin-Encapsulated G4 Hydrogels: The Role of Boronic Acid and Cyclodextrin by Monica-Cornelia Sardaru, Irina Rosca, Simona Morariu, Elena-Laura Ursu, Alexandru Rotaru

“…Nevertheless, further in vivo studies and long-term stability assessments are needed to fully establish clinical relevance, safety, and scalability before these systems can be translated into routine healthcare applications.…”
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Laser powder bed fusion of Ti6Al4V using low-cost high efficiency 450 nm diode point melting by Alkim Aydin, Erhan Cetin, S. Can Erman, Kamran Mumtaz

“…LPBF systems are expensive, making them inaccessible to many sectors and have challenges related to in-process thermal control, production of large components and scalability limitations. As an alternative to traditional LPBF, this study introduces Diode Point Melting (DPM), combining multiple low-power, energy efficient blue (450 nm) diode lasers into a single focal point. …”
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Munsell Soil Colour Prediction from the Soil and Soil Colour Book Using Patching Method and Deep Learning Techniques by Sadia Sabrin Nodi, Manoranjan Paul, Nathan Robinson, Liang Wang, Sabih ur Rehman, Muhammad Ashad Kabir

“…Lastly, this study provides insights into the application of the proposed techniques and analysis within real-world soil and provides results with higher accuracy with a limited number of soil samples, indicating the proposed method’s potential scalability and effectiveness with larger datasets.…”
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First Report on Microbial-Derived Polydeoxyribonucleotide: A Sustainable and Enhanced Alternative to Salmon-Based Polydeoxyribonucleotide by Doobyeong Chae, Sae-Woong Oh, Yoon-Seo Choi, Dae-Jung Kang, Chun-Woong Park, Jongsung Lee, Won-Sang Seo

“…This study underscores the potential of L-PDRN as a multifunctional and sustainable alternative to salmon-derived PDRN, offering enhanced bioactivity, scalability, and environmental benefits. The novel approach of utilizing microbial-derived PDRN opens new avenues for therapeutic applications in oxidative stress management, tissue regeneration, and immune modulation, paving the way for a paradigm shift in PDRN sourcing and functionality.…”
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Effect of High-Pressure Homogenization on the Functional and Emulsifying Properties of Proteins Recovered from <i>Auxenochlorella pyrenoidosa</i> by Alexandros Katsimichas, Maria Katsouli, Nikolaos Spantidos, Maria C. Giannakourou, Petros Taoukis

“…Additionally, the low energy requirements, continuous processing capability, and scalability of HPH make it a suitable process for industrial applications.…”
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A tunable human intestinal organoid system achieves controlled balance between self-renewal and differentiation by Li Yang, Xulei Wang, Xingyu Zhou, Hongyu Chen, Sentao Song, Liling Deng, Yao Yao, Xiaolei Yin

“…This optimization facilitates the scalability and utility of the organoid system in high-throughput applications.…”
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Signal Processing-Free Intelligent Model for Power Quality Disturbances Identification by Mohammed F. Al-Mashdali, Asif Islam, Abdulbasit Hassan, Md Shafiullah, Mujahed Al-Dhaifallah, Khalid Al Fuwail

“…Traditional methods for PQD classification use complicated feature extraction techniques, which can be computationally expensive and lack scalability. This research proposes applying basic convolutional neural network (CNN) models for automated PQD detection and categorization as a prospective solution to these issues. …”
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High‐Performance Pure Water‐Fed Anion Exchange Membrane Water Electrolysis with Patterned Membrane via Mechanical Stress and Hydration‐Mediated Patterning Technique by Yeonjae Lee, Sungjun Kim, Yoseph Shin, Yeram Shin, Seongmin Shin, Sanghyeok Lee, Minseop So, Tae‐Ho Kim, Sehkyu Park, Jang Yong Lee, Segeun Jang

“…The universal applicability of this technique was confirmed using in‐house fabricated anion exchange membranes, achieving exceptional current densities of 13.7 A cm−2 at 2.0 V in 1.0 M potassium hydroxide (KOH) and 2.8 A cm−2 at 2.0 V in pure water at 60 °C. Furthermore, the scalability of the technique was demonstrated through successful fabrication and operation of large‐area cells. …”
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