The Impact of Diet on Performance in Endurance Sports - Literature Review by Aleksandra Broda, Kacper Hoksa, Ewa Dubniewicz, Paula Majewska, Alicja Staszek, Wiktoria Łoskot, Jan Szwech, Mateusz Matczak, Karol Jasiński, Krzysztof Jodłowski

“… Introduction: The physical performance of athletes in endurance disciplines is the result of a complex process of the body adapting to prolonged and intense exertion. …”
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A multi-sensing quinazoline-derived fluorescent sensor for selective detection of Ru3+, Ir3+, Th4+, and UO22+ with environmental applications by Prakash Seenu, Nandhini Karthikeyan, Namrata Priyadharshini Hota, Saravanan Enbanathan, Sathiyanarayanan Kulathu Iyer

“…The absorption studies ensure sensitivity only to Ru3+, Ir3+, Th4+, and uranyl nitrate (UO22+), compared to other cations. …”
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A Comprehensive Framework for Transportation Infrastructure Digitalization: TJYRoad-Net for Enhanced Point Cloud Segmentation by Zhen Yang, Mingxuan Wang, Shikun Xie

“…These methods ensure accurate results with minimal memory overhead. …”
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Robust quantum control using reinforcement learning from demonstration by Shengyong Li, Yidian Fan, Xiang Li, Xinhui Ruan, Qianchuan Zhao, Zhihui Peng, Re-Bing Wu, Jing Zhang, Pengtao Song

“…This challenge has hindered the broad application of RL techniques to larger and more complex quantum control issues, limiting their adaptability. …”
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Lane-changing model for autonomous vehicles based on internet of vehicles by Lianshuang Yu, Manman Li, Yandong Chen, Jie Liu

“…This model provides a new approach for the intelligent vehicle industry and ensures road safety.…”
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A Consistency-Aware Hybrid Static–Dynamic Multivariate Network for Forecasting Industrial Key Performance Indicators by Jiahui Long, Xiang Jia, Bingyi Li, Lin Zhu, Miao Wang

“…The accurate forecasting of key performance indicators (KPIs) is essential for enhancing the reliability and operational efficiency of engineering systems under increasingly complex security challenges. However, existing approaches often neglect the heterogeneous nature of multivariate time series data, particularly the consistency of measurements and the influence of external factors, which limits their effectiveness in real-world scenarios. …”
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Discrete Starfish Optimization Algorithm for Symmetric Travelling Salesman Problem by Muhammet Aktas, Fatih Kilic

“…This paper introduces a new discrete StarFish Optimization Algorithm (D-SFOA) to solve a complex discrete Symmetric Travelling Salesman Problem (STSP). …”
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Inverse design of 3D nanophotonic devices with structural integrity using auxiliary thermal solvers by Kuster Oliver, Augenstein Yannick, Hernández Roberto Narváez, Rockstuhl Carsten, Sturges Thomas Jebb

“…Gradient-based optimization offers an efficient approach to design these complex and non-intuitive structures. However, expanding this methodology from 2D to 3D introduces complexities, such as the need for structural integrity and connectivity. …”
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Hair Transplantation on the Baldness Region with Free Latissimus Dorsi Flap for Scalp Reconstruction: A Case Report by Man Wong Han, Jaeseong Moh, Ji-Ung Park

“…Scalp reconstruction, particularly with complex defects and infection risks, often favors microvascular free flaps. …”
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Bioethics in the Public and Policy Spaces: Lessons from the Covid Years by Bryn Williams-Jones, Sihem Neila Abtroun

“…Ultimately, the pandemic was a pivotal time for bioethicists to influence public debate and policy, showcasing the field’s relevance and adaptability in addressing complex ethical issues. …”
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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

“…The rapid evolution of railway systems, driven by digitization and the proliferation of Internet-of-Things (IoT) devices, has resulted in an unprecedented volume of diverse and complex data. This railway big data offers immense opportunities for advancing safety, efficiency, and sustainability in transportation but presents significant analytical challenges due to its heterogeneity, high-dimensionality, and temporal dependencies. …”
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Design of a Double-Sided Non-Displacement Telecentric Zoom Optical System Using Two Liquid Lens Groups by Xiaogang Chen, Youping Huang, Hao Zhang

“…A double-sided telecentric zoom optical system can ensure the measurement and detection accuracy for different workpiece sizes and plays a crucial role in industrial detection. …”
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Energy-Optimized Path Planning and Tracking Control Method for AUV Based on SOC State Estimation by Guangyi Yang, Zhenning Xu, Feng Wang, Xiaoyu Zhang

“…Effective path planning in complex underwater environments serves as a critical determinant of autonomous underwater vehicle (AUVs) energy efficiency, while simultaneously influencing sensor operational demands and battery state-of-charge (SOC) dynamics. …”
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Generative artificial intelligence for general practice; new potential ahead, but are we ready? by Geert-Jan Geersing, Niek J. de Wit, Matthew Thompson

“…Yet – probably with the highest expectations – Gen AI may extend diagnostic and therapeutic capabilities in general practice by integrating complex, multimodal patient data for personalised care, enabling earlier disease detection, and providing real-time guidance for diagnostics, prognostics and treatments.Method & discussion The authors of this opinion paper recently hosted a workshop at the WONCA Europe 2024 conference. …”
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Genetic and transcriptomic analysis of lentil seed imbibition and dormancy in relation to its domestication by Azalea Guerra‐García, Jana Balarynová, Petr Smykal, Eric J vonWettberg, Scott D. Noble, Kirstin E. Bett

“…It is crucial in wild species but its loss was selected during crop domestication to ensure a fast and uniform germination. Water uptake, or imbibition, is the first step of germination. …”
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Anomaly Detection of Acoustic Signals in Ultra-High Voltage Converter Valves Based on the FAVAE-AS by Shuyan Pan, Mingzhu Tang, Na Li, Jiawen Zuo, Xingpeng Zhou

“…However, the voiceprint signals collected by converter stations under complex operating conditions are often affected by background noise, spikes, and nonlinear interference. …”
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Advances in Drug Targeting, Drug Delivery, and Nanotechnology Applications: Therapeutic Significance in Cancer Treatment by Fatih Ciftci, Ali Can Özarslan, İmran Cagri Kantarci, Aslihan Yelkenci, Ozlem Tavukcuoglu, Mansour Ghorbanpour

“…Despite having many advantageous features, these systems have limitations in thoroughly treating complex diseases such as cancer. Therefore, combining these systems with nanoparticle technologies is imperative to treat cancer at both local and systemic levels effectively. …”
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An Ontology-Based Expert System Approach for Hearing Aid Fitting in a Chaotic Environment by Guy Merlin Ngounou, Anne Marie Chana, Bernabé Batchakui, Kevina Anne Nguen, Jean Valentin Fokouo Fogha

“…Background/Objectives: Hearing aid fitting is critical for hearing loss rehabilitation but involves complex, interdependent parameters, while AI-based technologies offer promise, their reliance on large datasets and cloud infrastructure limits their use in low-resource settings. …”
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Dynamic model of a harvester equipped with a rope anchor system during logging operations on a steep slope by Lagerev A.V., Lagerev I.A., Makulina A.V.

“…The efficiency of using logging machines for work in mountainous or hilly areas characterized by the presence of steep slopes depends on many factors, among which the quantitative parameters of the dynamic state of both the harvester itself and the anchor system play a priority role to ensure the safe operation of these technological machines. …”
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A Typical Cross-Border Metaverse Model as a Counteraction to Its Fragmentation by Oleksii Kostenko, Dmytro Zhuravlov, Volodymir Nikitin, Volodymyr Manhora, Tamila Manhora, Ivan Gabani

“…The proposed Transborder Standard Model of the Metaverse is an abstract representation of systems used to understand, predict, and explain the behaviour of a complex of systems known under the generalised name Metaverse. …”
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