New Perspectives of Hydrogels in Chronic Wound Management by Adina Alberts, Andreea Gabriela Bratu, Adelina-Gabriela Niculescu, Alexandru Mihai Grumezescu

“…The pathophysiology of wound healing is discussed, including the healing stages and the factors contributing to chronicity. The focus is on diverse types of chronic wounds, such as diabetic foot necrosis, pressure ulcers, and venous leg ulcers, highlighting their etiology, consequences, and the therapeutic issues they provide. …”
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Neural insights on expert surgeons’ mental workload during live robotic surgeries by Chiho Lim, Marian Obuseh, Jackie Cha, James Steward, Chandru Sundaram, Denny Yu

“…We show that EEG signals can distinguish intraoperative workload in robotic surgeries. This has several applications including predicting risk factors for increased case complexity and surgical education.…”
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Experimental Investigation of Simultaneous Removal of SO2 and NOx Using a Heteropoly Compound by Meiqing Yu, Hongjian Zhu, Sheng Tian, Rui Wang, Ivan V. Kozhevnikov

“…The desulfurization and denitrification performance was evaluated by investigating dynamic SO2 and NO absorption in a simulated reactor containing a heteropoly compound (HPC) solution along with various factors influencing the reaction. …”
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Electrostatic Gelatin Nanoparticles for Biotherapeutic Delivery by Connor Tobo, Avantika Jain, Madhushika Elabada Gamage, Paul Jelliss, Koyal Garg

“…Biological agents such as extracellular vesicles (EVs) and growth factors, when administered in vivo, often face rapid clearance, limiting their therapeutic potential. …”
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Modeling and experimental validation of a 2D electro-hydraulic servo proportional valve by bond graph by Hao Xu, Feixiang Jin, Tingbo Hou, Wangpiao Lin, Dexun Zhang

“…This paper presents the development of a bond graph model for a 2D electro-hydraulic servo proportional valve (2D-EHSPV), which accounts for nonlinear factors such as magnetic hysteresis, Coulomb friction, and flow force. …”
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A Formal Approach to Road Safety Assessment Using Traffic Conflict Techniques by Oumaima Barhoumi, Mohamed H. Zaki, Sofiene Tahar

“…Formal methods allow the identification of factors that contribute to traffic safety issues and provide evidence of potential safety degradation. …”
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Uncertainty in vibration energy flow analysis by W. BOCHNIAK, J. CIEŚLIK

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Rapid Dataset-Free Self-Calibration for Heat Flux-Based Core Body Temperature Sensors by Yuki Hashimoto, Soto Tada, Yoshifumi Nishida

“…We validated our method through numerical simulations considering factors such as skin thickness and acceptable measurement errors. …”
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Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database. by Yang Xu, Chunxiao Song, Wenping Wei, Runfeng Miao

“…This model's superiority lies in its integration of dynamic preoperative and postoperative variables, capturing both baseline risks and acute postoperative changes. …”
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OVERVIEW OF METHODS FOR IMPROVING THE VISUAL QUALITY OF IMAGES AND VIDEOS IN ADVERSE WEATHER CONDITIONS by P. A. Lyakhov, A. S. Ionisyan, V. V. Liutova, A. R. Orazaev

“…Learning-based methods are applicable to both static weather conditions (fog, haze, haze) and dynamic ones (snow, rain, hail), which makes them more versatile for solving this problem.…”
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Causal-oriented representation learning for time-series forecasting based on the spatiotemporal information transformation by Sihua Cai, Hao Peng, Rui Liu, Pei Chen

“…As a self-supervised-learning approach, CReP shows significant potential for practical applications and provides a unified framework to reveal intrinsic mechanisms in dynamical systems by integrating causal relationships and temporal information.…”
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The tiny giants of regeneration: MSC-derived extracellular vesicles as next-generation therapeutics by Tianhe Zhang, Liang Zhang, Xiaoxue Ma, Wenliang Song

“…Future interdisciplinary technologies, including 3-dimensional (3D) dynamic culture, genetic engineering, and intelligent slow-release systems, are expected to facilitate the transition of MSC-EVs from the lab to large-scale applications. …”
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Patients’ transition experience and care from predialysis to dialysis: a theory-guided integrative review by Xuefei Wang, Ke Tian, Jin Hu, Shengqin Kang, Shunzhi Deng, Xueyan Gao, Yongzhen Mo

“…Conclusion The transition of patients with advanced CKD from predialysis to dialysis is multiple and dynamic. Healthcare professionals should take into account diverse factors influencing this process and formulate tailored strategies to support patients in achieving a smooth and healthy transition. …”
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MetaStackD A robust meta learning based deep ensemble model for prediction of sensors battery life in IoE environment by D. Gayathri, S. P. Shantharajah

“…Abstract Advancements in Artificial Intelligence, Machine Learning, and Deep Learning have paved the way for ample applications in real-time. One of the major applications of this advancement is the innovative systems influenced by the Internet of Everything (IoE). …”
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Performance analysis of permanent magnet synchronous motor based on transfer function model using PID controller tuned by Ziegler-Nichols method by V Ramanaiah Nippatla, Srihari Mandava

“…The PMSM is predominantly used in Electric Vehicles (EV), electric traction and industrial drive applications. The ZN method provides the distinctive dynamic speed response and also analyzes peak overshoot, settling time and steady-state error which are 1.677 %, 1.133 s and 1.16 times respectively, compared to the Gradient Descent (GD) algorithm. …”
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A Modeling Investigation on High-Speed Broad Spectrum Filtering System Based on Electric Fluid Technology by Jun Wu, Qiuyue Zhu, Zhiyang Qi, Jun Xia, Chenliang Chang, Qilong Wang, Baoping Wang

“…As the color filtering function is realized simply and rapidly by charging, and therefore, this design could improve the efficiency of the electro-optical systems and is a promising idea for many applications, such as the dynamic display devices.…”
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Performance of Deltabeam–CLT Composite Floors Under Human-Induced Vibration by Huifeng Yang, Yushuang Wu, Benkai Shi, Haotian Tao, Haoyu Huang

“…As per the acceleration, serviceability factors, namely, response factors (RFs) and vibration dose values (VDVs), were analyzed. …”
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Optimizing group utility in itinerary planning: a strategic and crowd-aware approach by Junhua Liu, Aldy Gunawan, Kristin L. Wood, Kwan Hui Lim

“…These factors, combined with the dynamic and unpredictable nature of visitor flow, introduce substantial complexities, particularly when accounting for collective user behavior. …”
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Investigations into aerodynamics of tall buildings using signal processing tools by Chaturvedi Arjit, Mohan Keerthana, Darshyamkar Renuka, Harikrishna Pabbisetty

“…The ability of ICA to separate these independent components allows for a clearer understanding of the individual influences of different wind load factors. Through comprehensive PSD analysis, we identified dominant frequencies associated with the wind load factors, linking them to specific wind load mechanisms and their effects on building oscillations. …”
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AI driven cardiovascular risk prediction using NLP and Large Language Models for personalized medicine in athletes by Ang Li, Yunxin Wang, Hongxu Chen

“…The performance and long-term health of athletes are significantly influenced by their cardiovascular resilience and associated risk factors. This study explores the innovative applications of Natural Language Processing (NLP) and Large Language Models (LLMs) in biomedical diagnostics, particularly for AI-driven arrhythmia detection, hypertrophic cardiomyopathy (HCM) in athletes, and personalized medicine. …”
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