Advancement in PMN-PT transparent piezoelectric ceramic for photoacoustic/ultrasound dual-mode imaging by Pengkun Guo, Wen Gao, Riqiang Lin, Xiatian Wang, Jiale Lan, Jiaming Zhang, Yanan Wang, Lin Zhu, Yongcheng Zhang, Feng Li, Weijie Zheng, Tianlong Zhao, Kwok-Ho Lam, Xiaojing Gong, Zhihua Xie, Yalin Qin, Shujun Zhang

“…In traditional dual-mode imaging systems, however, the opaque ultrasound transducers are integrated in complex optical and ultrasound paths, leading to compromises in imaging efficiency and sensitivity. …”
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Progress and key technology analysis of bronchoscopic robot by Xingguang DUAN, Dongsheng XIE, Fengxinyun FANG, Rui HE, Changsheng LI

“…This synergy allows for highly precise detection and treatment of lung tissue and lesions. …”
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Multiple active site metal-based catalysts for C-N coupling reactions and the beyond by Mingzheng Shao, Yangbo Ma, Yuecheng Xiong, Liang Guo, Yunhao Wang, Guozhi Wang, Fu Liu, Fengkun Hao, Xiang Meng, Xintao Ma, Zhanxi Fan

“…However, the low Faradaic efficiency and poor selectivity of C-N coupling reactions, arisen from obscure understanding of the complex multi-step reactions and competitive side reactions, hinder their practical applications. …”
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Photothermal Therapeutic Gold Nanoparticles Loaded with PD-L1 siRNA Enhanced Killing of NSCLC Cells by Immune Cells by Gao L, Yang LH, Jiang FC, Ye WY, Chen X, Liu ZJ, He RQ, Huang WY, Feng ZB, Kong JL, Lai ZF, Chen G

“…Combining ICB therapy with other strategies that is able to stimulate tumor immunogenicity or increase infiltration of T cells aroused great concern in cancer therapy.Results: Herein, we constructed a kind of AuNP@NH2-PEG-SH/PD-L1 siRNA nanoparticle complex which showed prominent photothermal therapeutic (PTT) effects triggered by NIR laser and could efficiently deliver PD-L1 siRNA into NSCLC cells (knock-down efficiency were 75.8% and 83% in HCC827 and A549 cells). …”
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Determining Novice and Expert Status in Human–Automation Interaction Through Hidden Markov Models by Anne French, Mary L. Cummings, Haibei Zhu, Miroslav Pajic

“…Results affirm the hypothesis that experts formulate more efficient strategies, reflected in HMMs with fewer hidden states compared to those describing novice behavior. …”
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Synthetic biology meets neuromorphic computing: towards a bio-inspired olfactory perception system by Kevin Max, Larissa Sames, Shimeng Ye, Jan Steinkühler, Federico Corradi

“…This research seeks to develop a platform for ultra-sensitive, specific, and energy-efficient odor detection, with potential implications for environmental monitoring, medical diagnostics, and security.…”
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Novel identification of mAbs by Raman spectroscopy by Maoqin Duan, Jun Liu, Lan Wang, Jialiang Du, Jialing Zhang

“…Raman spectroscopy achieved comparable results to the conventional, but complex, approach to identifying anti‐vascular endothelial growth factor antibodies. …”
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A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

“…The complexity and fusion dynamism of the modern industrial and chemical sectors have been increasing with the rapid progress of IR 4.0–5.0. …”
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Chemistry-informed recommender system to predict optimal molecular receptors in SERS nanosensors by Emily Xi Tan, Yong Xiang Leong, Shan Huei Lim, Mike Wei Kuang Chng, In Yee Phang, Xing Yi Ling

“…This systematic and data-driven methodology based on cheminformatics represents a shift from empirical discovery to an efficient approach for receptor optimization for complex sensing applications involving structurally similar analytes.…”
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Deep Learning with Dual-Channel Feature Fusion for Epileptic EEG Signal Classification by Bingbing Yu, Mingliang Zuo, Li Sui

“…While deep learning methods have shown promise, many current models suffer from limitations such as excessive complexity, high computational demands, and insufficient generalizability. …”
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A Robotic grinding station based on an industrial manipulator and vision system. by Guoyang Wan, Guofeng Wang, Yunsheng Fan

“…The measurements indicate that this system can work stably and efficiently, and the experimental results demonstrate the high accuracy and high efficiency of the proposed method. …”
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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

“…To demonstrate the efficiency of the proposed hybrid method, several experiments are performed on several texture databases. …”
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Well Testing of Fracture Corridors in Naturally Fractured Reservoirs for an Improved Recovery Strategy by Yingying Guo, Andrew Wojtanowicz

“…Among them, corridor-type NFRs, characterized by discrete fracture corridors, exhibit complex flow behavior that challenges conventional development strategies and reduces recovery efficiency. …”
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Prevention of Bankruptcy of Industrial Enterprises and Organizations with State Participation by E. V. Gavrilin, S. V. Khetagurov

“…There had been used the formal legal method in the paper, methods of complex and interdisciplinary analysis, as well as General scientific methods, including the dialectical method and the method of system analysis. …”
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A Comprehensive Review of Analytical Approaches for Carotenoids Assessment in Plant-Based Foods: Advances, Applications, and Future Directions by Marcin A. Kurek, Havva Aktaş, Patryk Pokorski, Ewelina Pogorzelska-Nowicka, Jorge A. Custodio-Mendoza

“…Accurate quantification of these pigments is critical for food science, nutrition, and health research, yet their analysis remains challenging due to structural complexity, susceptibility to degradation, and matrix interferences. …”
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Robust Radio Frequency Fingerprinting With Signal Denoising and Stacked Multivariate Ensemble Learning for Secure Wireless Communications by Syed Usman Ali Shah, Muhammad Usama Zahid, Syed Abuzar H Shah, Saeed Ur Rehman, Dan Komosny

“…Radio Frequency Fingerprinting (RFF) has gained significant attention in wireless communication and security research due to its potential for device authentication and intrusion detection. While deep learning-based approaches have shown promising results, existing methods suffer from critical limitations: high computational complexity hinders real-time deployment on resource-constrained hardware, poor robustness under low Signal-to-Noise Ratio (SNR) conditions, and inadequate generalization across different datasets. …”
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A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement by Yongho Jeong, Taeuk Noh, Yonghak Lee, Seonjae Lee, Kwangil Choi, Sujin Jeong, Sunghwan Kim

“…This research, however, utilizes 3D depth information to enhance both accuracy and efficiency. By employing HRNet-based keypoint detection and transfer learning through deep learning, the precise locations of body parts are identified and combined with depth maps to automatically calculate body circumferences. …”
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Epitope-imprinted biomaterials with tailor-made molecular targeting for biomedical applications by Youlu Diao, Jia Gao, Yue Ma, Guoqing Pan

“…Additionally, we discuss the application of epitope-imprinted materials in the recognition and detection of peptides, proteins, and cells. Despite these advancements, challenges such as template complexity, imprinting efficiency, and scalability remain. …”
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Proactive Complaint Management in Public Sector Informatics Using AI: A Semantic Pattern Recognition Framework by Marco Esperança, Diogo Freitas, Pedro V. Paixão, Tomás A. Marcos, Rafael A. Martins, João C. Ferreira

“…The digital transformation of public services has led to a surge in the volume and complexity of informatics-related complaints, often marked by ambiguous language, inconsistent terminology, and fragmented reporting. …”
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Multi-material 3D printed smart floor tiles with triboelectric energy generation and security monitoring by Shidhin Mappoli, Kalyan Ghosh, Martin Pumera

“…The MMP-TENG is integrated with electronics to showcase its capability for remote monitoring in smart home settings to detect real-time fall detection and security monitoring. …”
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