Cu2+/Cu+ redox-cycling-driven dual-mode sensor for simultaneous monitoring of acetylcholinesterase activity and pesticide exposure by Sitong Lai, Sitong Lai, Kunhui Sun, Kunhui Sun, Yun Wu, Xueyuan Wu, Yiqi Yan, Yiqi Yan, Guojing Liu, Xiaoyi Liu, Yuanyuan Ge, Lina Zeng, Ziyu Guo, Shuhong Wang, Ping Wang, Bing Wang, Han Zhang, Xie-an Yu

“…IntroductionThe procedural complexity and time-consuming of conventional pesticide residue detection methods in traditional Chinese medicines (TCMs) significantly impeded their application in modern systems. …”
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Toward Robust Security Orchestration and Automated Response in Security Operations Centers with a Hyper-Automation Approach Using Agentic Artificial Intelligence by Ismail, Rahmat Kurnia, Zilmas Arjuna Brata, Ghitha Afina Nelistiani, Shinwook Heo, Hyeongon Kim, Howon Kim

“…By integrating AI-driven automation with the IVAM framework, our solution enhances investigation quality, improves response accuracy, and increases SOC efficiency in addressing modern cybersecurity threats.…”
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Foreword

“… As linguistic research continues to navigate the complex interplay between structure, meaning, and pedagogy, increasing attention is being paid to how languages are learned, represented, and taught across diverse sociocultural contexts. …”
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Utilizing Artificial Intelligence for Adaptive Scenario Development in Interprofessional Education by Hatice Şahin, Aysel Baser

“…Educators from various health professions must work together to ensure that scripts generated by AI reflect the complexities and interdependencies of real clinical scenarios. …”
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Multimodal approaches and AI-driven innovations in dementia diagnosis: a systematic review by Revati M. Wahul, Sarita Ambadekar, Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Manisha A. Dudhedia, Varsha Gaikwad, Bhavana Kanawade, J. R. Pansare, Balaji Bodkhe, S. H. Gawande

“…This survey will compare the study’s algorithms or frameworks on sensitivity, specificity, interpretability, computational efficiency, and clinical transnationality concerning early detection and monitoring progression. …”
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ResTreeNet: A Height-Aware LiDAR Tree Classification Model With Explainable AI for Forestry Applications by Asrat Kaleab Taye, Jeong-Mook Park, Hyung-Ju Cho, Jin-Taek Kang, Yeon-Ok Seo

“…However, applying deep learning models to LiDAR-based tree classification remains challenging due to the computational complexity of existing 3D architectures, which often struggle with scalability and practical large-scale implementation. …”
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Study on spatial characteristics of coal seam water injection diffusion and fracture network flow patterns based on B-GFP fluorescent bacteria tracing by Dong XIAO, Suping PENG, Xuechen LI, Hailun HE

“…As mining depths increase, the complexity of fracture formation under the influence of in-situ stress and tectonic forces grows, limiting the accuracy of traditional detection methods in tracing fracture flow paths during hydraulic operations. …”
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APPLIED ASPECTS OF MODERN ANTI-CRISIS FINANCIAL MANAGEMENT by Zoia S. Pestovska, Кateryna S. Romanova, Olesya S. Rosenberg

“…The analysis showed almost the lowest limit of satisfactory efficiency of MS Trade Ukraine LLC and the fact that the biggest problems are with the financial component. …”
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Trusted Energy-Aware Hierarchical Routing (TEAHR) for Wireless Sensor Networks by Vikas, Charu Wahi, Bharat Bhushan Sagar, Manisha Manjul

“…Trust-based routing mechanisms are usually associated with high computation and storage complexity and susceptibility to collusive attacks such as spoofing. …”
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Improvement of the perovskite photodiodes performance via advanced interface engineering with polymer dielectric by Andrey P. Morozov, Lev O. Luchnikov, Sergey Yu. Yurchuk, Artur R. Ishteev, Pavel A. Gostishchev, Sergey I. Didenko, Nikita S. Saratovsky, Dmitry O. Balakirev, Ivan V. Dyadishchev, Andrey A. Romanov, Ekaterina A. Ilicheva, Anton A. Vasilev, Sergey S. Kozlov, Dmitry S. Muratov, Yuriy N. Luponosov, Danila S. Saranin

“…Halide perovskite-based photodiodes are promising for efficient detection across a broad spectral range. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…Abstract Malware has become a big issue for digital infrastructure with the growing complexity and frequency of intrusions; it usually avoids conventional detection systems via obfuscation and dynamic behaviour patterns. …”
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A Hybrid Deep Learning Framework for Early-Stage Alzheimer’s Disease Classification From Neuro-Imaging Biomarkers by Samina Akram, Muhammad Amjad Iqbal, Muhammad Rashid, Muhammad Shahid Bhatti, Benish Fida

“…Our ensemble methodology deciphers complex patterns within Magnetic Resonance Imaging, mapping them to specific AD early stages. …”
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A physical state prediction method based on reduce order model and deep learning applied in virtual reality by Pengbo Yu, Qiyu Liu, Qiyu Liu, Qiyu Liu, Qiyu Liu, Siyun Yi, Ming Zhu, Yangheng Hu, Gexiang Zhang, Gexiang Zhang

“…The application of virtual reality (VR) in industrial training and safety emergency needs to reflect realistic changes in physical object properties. …”
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Simulation and Analysis of Imaging Process of Phosphor Screens for X-Ray Imaging of Streak Tube Using Geant4-Based Monte Carlo Method by Zichen Wang, Riyi Lin, Yuxiang Liao, Lin Tang, Zhenhua Wu, Diwei Liu, Renbin Zhong, Kaichun Zhang

“…As the most widely used tool for ultrafast diagnostic technology, investigating the characteristics of streak cameras in the imaging process and streak tubes’ complex physical processes is significant for its overall development. …”
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Numerical study of a fish swimming in hydrokinetic turbine wake by Marianela Machuca Macias, Rafael Castilho Faria Mendes, José Hermenegildo Garcia-Ortiz, Taygoara Felamingo Oliveira, Antonio C.P. Brasil Junior

“…The environmental effects of hydrokinetic turbines are still under investigation, reflecting the emerging status of this technology. This study investigates the interaction between hydrokinetic rotor wakes and fish swimming, revealing insights into fish biomechanics in complex flows and assessing the environmental implications of marine energy solutions. …”
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Highly customizable, ultrawide-temperature free-form flexible sensing electronic systems based on medium-entropy alloy paintings by Weiwei Li, Yingzhe Li, Manzhang Xu, Yilin Zhou, Ruoyan Miao, Kexin Wang, Yunqiang Cao, Yizhong Song, Siying Dang, Lu Zheng, Xuewen Wang, Wei Huang

“…Abstract High-performance flexible sensing electronics on complex surfaces operating across broad temperatures are critical for aerospace and industrial applications. …”
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A refined lion optimizer for deep learning by Jian Rong, Chenhao Ma, Qinghui Zhang, Yong Cao, Weili Kou

“…The YOLOV8, YOLOV11 on VOC2012 data and Object detection with Vision Transformers on Caltech 101 dataset are trained for Object detection. …”
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Fitting method of concrete damage Poisson’s ratio model based on Kolmogorov-Arnold network by Yu Yang, Jiahui Xu, Qiangbing Zhou, Shichao Kong, Keyi Lin

“…This study proposes a combination of the Kolmogorov-Arnold Network (KAN), which can fit complex nonlinear relationships with high precision, and the Finite Element Method (FEM) to address this challenge. …”
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Adapting the Competences of the Employed Personnel in the Context of the Integration of Artificial Intelligence in Organizations by Ioana Maria Popescu (Iacobescu), Iuliana Zavatin (Chilea), Daniela-Ioana Manea, Rodica Pamfilie, Alexandru Jurconi

“…The most significant risks identified, as a result of the integration of AI in organisations, are the alteration of interpersonal communication and staff restructuring, and the greatest opportunity is the decrease in the time allocated for the performance of certain tasks, reflected in the increase in the efficiency of the organisation. …”
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Independence of the dynamic grid of finite elements for the calculation of the aerodynamic resistance of linehaul trains by D.B. Beherskyi, I.V. Vitiuk, O.A. Levkivskyi, O.O. Bahinskyi, A.O. Koval

“…The dynamic grid was chosen because it allows changing the grid structure during simulation, which is important for accurately reflecting complex aerodynamic processes, such as turbulent flows and variable shocks on surfaces. …”
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