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Publication CEBPA mutations in acute myeloid leukemia: implications in risk stratification and treatment.(2024-11)Mutations in CCAAT enhancer binding protein α (CEBPA) occur in approximately 10% of patients with de novo acute myeloid leukemia (AML). Emerging evidence supports that in-frame mutations in the basic leucine zipper domain of CEBPA (CEBPA) confer a survival benefit, and CEBPA replaced CEBPA double mutations (CEBPA) as a unique entity in the 2022 World Health Organization (WHO-2022) classification and International Consensus Classification (ICC). However, challenges remain in daily clinical practice since more than 30% patients with CEBPA die of AML despite intensive treatment. This review aims to provide a comprehensive summary of the heterogeneities observed in AML with CEBPA and CEBPA, and will discuss the prognostic implications of concurrent mutations and novel mechanistic targets that may inform future drug development. The ultimate goal is to optimize clinical management and to provide precision medicine for this category of patients. - Some of the metrics are blocked by yourconsent settings
Publication Towards an Effective Tool Wear Monitoring System with an AI Model Management Platform(IEEE, 2024-08-18)Automated monitoring of tool wear is crucial for maintaining product quality. Furthermore, implementing AI techniques for real-time tool monitoring involves not only developing models but also managing their versions, avoiding the issue of models becoming less accurate as the properties of the machinery change over time. Consequently, this study develops a tool wear prediction system integrated with an artificial intelligent (AI) model management platform. First, this system uses various machine learning models to extract diverse signal features from sensor fusion, thereby boosting the accuracy of tool wear prediction. Secondly, the AI Models Management Platform comprises the C# programming language, Neural Networks Processing Unit (NPU) board, and Docker on both user and server sides, enhancing industrial processes and enabling real-time analysis of sensor data. According to these results, the Ensemble Learning method within the machine learning model demonstrates superior performance, yielding an average root mean squared error (RMSE) of 0.000185 mm2. Additionally, AI model management platform efficiently handle various model versions and streamline data training processes, empowering users to select suitable models and thereby enhancing system robustness. - Some of the metrics are blocked by yourconsent settings
Publication P2-Na0.61Ca0.03[Mg2/9Cu1/9Mn2/3]O2 as a High-Energy Oxygen Redox Cathode for Na-Ion Batteries: Investigation of Cu Substitution and Ca Doping to Enhance Cycling Stability(Wiley, 2025)Oxygen redox-based cathode materials offer higher capacity than conventional Na-based layered transition metal oxides in Na-ion batteries (NIBs). Still, their performance is impeded by voltage hysteresis and structural instability. Herein, a novel P2-Na0.61Ca0.03[Mg2/9Cu1/9Mn2/3]O2 cathode material is developed with Li/Co-free composition for cost-effectiveness and environmental friendliness. Cu substitution in transition-metal layers stabilizes O ions during oxygen redox, while Ca doping in alkaline-metal layers acts as structural “pillars” to suppress phase transformation. The charge storage mechanism is analyzed via operando X-ray absorption spectroscopy, operando X-ray diffraction analysis, on-line gas chromatography, and density functional theory computation. Na0.61Ca0.03[Mg2/9Cu1/9Mn2/3]O2 exhibits a high specific capacity (205 mAh g−1 at 0.1 C), good cyclic stability, and impressive rate capability (142 mAh g−1 at 2.5 C). A Na0.61Ca0.03[Mg2/9Cu1/9Mn2/3]O2//hard carbon full cell with a high energy density (250.7 Wh kg−1) is achieved, demonstrating its potential for high-energy NIBs. This work provides new insights into oxygen-redox-dominated cathodes through a facile sol-gel synthesis and advanced characterization techniques. - Some of the metrics are blocked by yourconsent settings
Publication Diffractive Image Microscopy for 3D Imaging(Springer Nature Singapore, 2024)This book presents a unique methodology of precious and original scientific work in optical microscopy that is scarce to be found elsewhere. It covers modern 3D optical microscopy to provide a solid understanding of microscopic optics and imaging theory. With an inspiring development in diffractive image microscopy and ANN-based reverse mapping modeling, this is an invaluable book for precision optics, precision metrology, optical testing, biomedical engineering, and physics students or staff taking R&D on optical microscopy, as well as advanced undergraduates, professionals, and researchers looking for an accessible introduction to the field. - Some of the metrics are blocked by yourconsent settings
Publication Microstructure and Thermal Cyclic Behavior of FeNiCoAlTaB High-Entropy Alloy(MDPI AG, 2025-01)This study investigates the grain morphology, microstructure, magnetic properties and shape memory properties of an Fe41.265Ni28.2Co17Al11Ta2.5B0.04 (at%) high-entropy alloy (HEA) cold-rolled to 98%. The EBSD results show that the texture intensities of the samples annealed at 1300 °C for 0.5 or 1 h are 2.45 and 2.82, respectively. This indicates that both samples were formed without any strong texture. The grain morphology results show that the grain size increased from 356.8 to 504.6 μm when the annealing time was increased from 0.5 to 1 h. The large grain size improved the recoverable strain due to a reduction in the grain constraint. As a result, annealing was carried out at 1300 °C/1 h for the remainder of the study. The hardness decreased at 24 h, then increased again at 48 h; this phenomenon was related to the austenite finish temperature. Thermo-magnetic analysis revealed that the austenite finish temperature increased when the samples were aged at 600 °C for between 12 and 24 h. When the aging time was prolonged to 48 h, the austenite finish temperature value decreased. X-ray diffraction (XRD) demonstrated that the peak of the precipitates emerged and intensified when the aging time was increased from 12 to 24 h at 600 °C. From the three-point bending shape memory test, the samples aged at 600 °C for 12 and 24 h had maximum recoverable strains of 2% and 3.6%, respectively. The stress–temperature slopes of the austenite finish temperature were 10.3 MPa/°C for 12 h and 6 MPa/°C for 24 h, respectively. Higher slope values correspond to lower recoverable strains.
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Publication 10164 - Some of the metrics are blocked by yourconsent settings
Person PEI-LIN LEEPei-Lin Lee serves as Clinical Associate Professor, School of Medicine, National Taiwan University; Consultant, Center of Sleep Disorder, National Taiwan University Hospital. Her current academic positions at international sleep societies include American Academy of Sleep Medicine Fellow and Co-Chair International Assembly; Asian Society of Sleep Medicine, Sleep Medicine Education Task Force committee member. Her current research focuses on the era of new technology and big data in sleep medicine; and intervention on sleep and metabolism in sleep disordered breathing.5355 50 - Some of the metrics are blocked by yourconsent settings
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