UNLOCKING THE POTENTIAL OF EXISTING BAMBOO SCAFFOLD CONNECTIONS: A COMPREHENSIVE REVIEW ON REUSABILITY by Hintsa G. GEBREMARIAM, Ermias A. AMEDE, Leule M. HAILEMARIAM

“…Reusable connections are crucial to optimize its sustainability benefits. This review provides a comprehensive overview of the reusability potential of existing bamboo scaffold connections, exploring different connection types, factors influencing reusability, benefits and challenges, and current research and development efforts. …”
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Smart Mobility in a Secondary City: Insights from Food Delivery App Adoption Among Thai University Students by Manop Chantasoon, Aphisit Pukdeewut, Prasongchai Setthasuravich

“…The findings underscore the role of FDAs as key enablers of smart mobility, optimizing urban logistics, reducing transportation inefficiencies, and supporting sustainable city systems. …”
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Advancements in AI-enhanced collaborative robotics: towards safer, smarter, and human-centric industrial automation by Ronit Shah, Arockia Selvakumar Arockia Doss, Natrayan Lakshmaiya

“…The paper explores how AI-enhanced cobots optimize production efficiency by reducing cycle times, improving product quality, and facilitating adaptive manufacturing in the automotive, healthcare, and logistics sectors. …”
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Band Versus Hopping Transport in Conducting Polymers by Ab Initio Molecular Dynamics: Exploring the Effect of Electric Field, Trapping and Temperature by Najmeh Zahabi, Igor Zozoulenko

“…Abstract Understanding charge carrier transport in conductive polymers is imperative for the materials' synthesis and optimizing devices. While most theoretical studies utilize time‐independent approaches for describing charge transport, there is an interest in addressing temporal charge carrier dynamics, which provides more information than time‐independent methods. …”
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The Role of Monoclonal Antibodies as Therapeutics in HPV-Related Head and Neck Cancers: An Updated Review by Michael Zalin, Shaan Patel, Carter Coggins, Vikrant Rai

“…Conclusions: Further studies are needed to optimize patient selection, establish standardized treatment protocols, and investigate the long-term benefits of mAb-based therapies in this patient population.…”
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Exploring the impact of diet, sleep, and metabolomic pathways on Glaucoma subtypes: insights from Mendelian randomization and cross-sectional analyses by Zhang Shengnan, Wang Tao, Zhang Yanan, Sun Chao

“…Conclusion Our findings highlight the role of balanced diets and optimized sleep patterns in glaucoma prevention and management. …”
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Predictive Modeling and Simulation of CO₂ Trapping Mechanisms: Insights into Efficiency and Long-Term Sequestration Strategies by Oluchi Ejehu, Rouzbeh Moghanloo, Samuel Nashed

“…These comparisons confirm that the modeled mechanisms and trends align with established CCS behavior in real-world systems. Overall, the study demonstrates the value of combining traditional reservoir engineering with data-driven approaches to optimize CCS performance, offering scalable, reliable, and secure solutions for long-term carbon sequestration.…”
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The Relationship between Lean Practices and Organizational Performance: An Analysis of Operations Management in a Public Institution by Patricia Inês Schwantz, Leander Luiz Klein, Eugênio de Oliveira Simonetto

“…<i>Conclusions</i>: It is evident that the members of the military unit are committed to optimizing organizational performance, showing constant improvement in productivity, rarely committing errors, cost reduction in activities and works, high effectiveness in meeting goals, prioritizing cost reduction in the execution of activities, as well as achieving goals and objectives related to the services provided.…”
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Analysis and interpretation of organizational silence behavior of male nurses from the perspective of phenomenology by Mengjing Yan, Zhenyin Shi, Aihua Zhou, Shuqin Zeng

“…Conclusion This study found that organizational silence among male nurses is widespread and severe, influenced by various factors such as organizational atmosphere, policy systems, and social recognition. Nursing managers should optimize management strategies, improve communication, enhance male nurses’ professional identity, and establish reasonable training pathways to enhance their professional and academic capabilities, thereby gaining social recognition, stabilizing the nursing workforce, and promoting the diversification and high-quality development of the nursing profession.…”
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The Role of Artificial Intelligence in Aviation Construction Projects in the United Arab Emirates: Insights from Construction Professionals by Mariam Abdalla Alketbi, Fikri Dweiri, Doraid Dalalah

“…AI tools can predict delays, optimize workflows, and enhance safety through real-time data analytics and machine learning algorithms, reducing risks and human error. …”
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A Two‐Dimensional Mathematical Model of Chlorine Residual Transport in a Water Distribution Pipe by John Tulirinya, Mathew Kinyanjui, Samuel Mutua, Asaph Muhumuza

“…These insights enable water utility operators to optimize disinfection processes, ensure compliance with safety standards, and enhance the efficiency of water treatment systems.…”
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Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning by Rakesh Batchala, Priyank Jain, Manasi Gyanchandani, Sanyam Shukla, Rajesh Wadhvani

“…The primary emphasis is on predicting and optimizing ventilation and sedation strategies for patients in Intensive Care Units. …”
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A Robust Kalman Filter for Heavy-Tailed Measurement Noise Based on Gamma Pearson VII Mixture Distribution by Shen Liang, Guoliang Xu, Zhenmei Qin

“…The proposed filter adaptively optimizes the Pearson VII formulation&#x2019;s mean vector and covariance matrix, enabling precise characterization of data features in challenging environments exhibiting non-stationary behavior and heavy-tailed noise distributions. …”
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YOLOv8 and point cloud fusion for enhanced road pothole detection and quantification by Junkui Zhong, Deyi Kong, Yuliang Wei, Bin Pan

“…Abstract Automatic detection of potholes is essential for effective road maintenance and is fundamental to enhancing environmental perception for intelligent transportation systems. Reducing false positives is essential for optimizing detection accuracy in this research domain. …”
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Relationship between urban traffic crashes and temporal/meteorological conditions: understanding and predicting the effects by Xiao Tang, Zihan Liu, Zhenlin Wei

“…On the basis, the recommendations are aimed at optimizing transportation systems, mitigating accident risks, and enhancing public safety in urban environments.…”
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Switching from multiple-inhaler triple therapy to single, extra fine-inhaler triple therapy in severe refractory asthma with EGPA: beyond control. Case report and review of the lit... by Francesco Menzella, Marcello Cottini, Silvia Tonin, Lorenzo Corsi, Annamaria Bosi, Andrea Ballarin, Ariel Floriani, Cristina Dartora, Matteo Tacconi, Carlo Lombardi

“…Eosinophilic granulomatosis with polyangiitis is a rare systemic vasculitis associated with asthma, eosinophilia and multi-organ involvement. …”
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Frequency Spectrum Analysis of Partial Discharge Measurement in 150-kV Outdoor Cable Sealing End&#x2014;A Case Study by Muhammad Kodrat, Umar Khayam

“…This new UHF sensor is optimized and fabricated to produce a bandwidth of 0 - 3800 MHz and a voltage standing wave ratio (VSWR) of 1.1. …”
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Navigating the Handover: Reviewing Takeover Requests in Level 3 Autonomous Vehicles by Joel Andrew Miller, Soodeh Nikan, Mohamed H. Zaki

“…We aim to establish a symbiotic relationship between human drivers and autonomous systems, ensuring that AVs not only function optimally within their designated ODD, but also maintain high safety standards during critical takeover moments.…”
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Novel Hybrid Deep Learning Model for Forecasting FOWT Power Output by Mohammad Barooni, Deniz Velioglu Sogut, Parviz Sedigh, Masoumeh Bahrami

“…The research demonstrates the potential of deep learning methods in advancing renewable energy technology, specifically in optimizing turbine efficiency, anticipating maintenance needs, and integrating wind power into energy grids.…”
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Expected Challenges and Anticipated Benefits of Implementing Remote Train Control and Automatic Train Operation: A Tramway Case Study by Xavier Morin, Nils O. E. Olsson, Albert Lau

“…Digital technologies include Automatic Train Operation (ATO) and Remote Train Control (RTC), which offer opportunities to potentially optimize operations and enhance safety. Both technologies, however, could pose significant challenges that need to be addressed in order to capture the anticipated benefits in an urban public street environment. …”
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