Prediction of HIF-1α expression in endometrial carcinoma by enhanced T2∗ weighted angiography and dynamic contrast-enhanced magnetic resonance imaging by Zongyuan Xie, Zongyuan Xie, Liangjie Lin, Changjun Ma, Ailian Liu

“…PurposeTo explore the value of quantitative imaging parameters by enhanced T2* weighted angiography (ESWAN) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for evaluating the expression of Hypoxia-inducible factor-1α (HIF-1α) in endometrial carcinoma (EC).MethodsData from 122 patients with EC confirmed by clinical pathology were retrospectively analyzed. …”
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Endpoint carbon content and temperature prediction model in BOF steelmaking based on posterior probability and intra-cluster feature weight online dynamic feature selection by Wang Haodong, Liu Hui, Chen FuGang, Li Heng, Xue XiaoJun

“…Second, the posterior probability of samples and intra-cluster feature weights are used to weigh and calculate the feature importance of the current sample, obtaining the optimal features that align with the current operating conditions. …”
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Abundance of the bearded fireworm Hermodice carunculata (Polychaeta: Amphinomidae) increases across a euphotic-mesophotic depth gradient in the remote St. Peter and St. Paul’s Arch... by Marcos Rogerio Rosa, Erika Flávia Crispim de Santana, Gabriel Malta De Farias, Paulo Yukio Gomes Sumida, Ronaldo Bastos Francini Filho

“…We provide here data on the distribution, abundance and habitat use of H. carunculata across a euphotic-mesophotic gradient (0-90 m) in the Saint Peter and Saint Paul’s Archipelago (SPSPA, Mid Atlantic Ridge, Brazil). Samples were obtained using SCUBA and a Remote Operated Vehicle (ROV). …”
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Early Detection of Elevated Ketone Bodies in Type 1 Diabetes Using Insulin and Glucose Dynamics Across Age Groups: Model Development Study by Simon Cichosz, Clara Bender

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A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

“…The model captures both short-term and long-term sequence variations through continuous and interval sampling. To mitigate the interference of dynamic features, we propose a normalization feature learning block (NFLBlock) as the core component of NFLM for processing sequences. …”
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Cyclic fatigue resistance of a blue heat-treated engine-driven file with different angles of canal access using different kinematics; an in vitro study by Bassem Eid, Mohammed Kataia, Tarek Elsewify, Tarek Elsewify

“…The files were placed in custom-made stainless-steel canals and operated using the manufacturer's recommendations for speed, torque, and angle of reciprocation settings till fracture. …”
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Nano-Enhanced Cactus Oil as an MQL Cutting Fluid: Physicochemical, Rheological, Tribological, and Machinability Insights into Machining H13 Steel by Nada K. ElBadawy, Mohamed G. A. Nassef, Ibrahem Maher, Belal G. Nassef, Mohamed A. Daha, Florian Pape, Galal A. Nassef

“…The addition of ACNPs enhanced the dynamic viscosity by 108–130% across the temperature range of 40–100 °C. …”
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Optimal micro-grid battery scheduling within a comprehensive smart pricing scheme by Mohammed Ashraf Ali, Ahmad H. Besheer, Hassan M. Emara, Ahmed Bahgat

“…The proposed comprehensive approach accounts for fluctuations of real-time pricing, demand charge tariffs, and battery degradation cost. Using the dynamic programming technique, a novel high-speed BESS scheduling optimization algorithm that incorporates a LiFePO4 battery degradation cost model is developed, achieving substantial monthly operational cost savings for the MG with a fine-grained sampling interval of nine minutes and execution time under one minute. …”
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Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study by Zhuo Zheng, Jiawei Luo, Yingchao Zhu, Lei Du, Lan Lan, Xiaobo Zhou, Xiaoyan Yang, Shixin Huang

“…With the increasing availability of high-frequency electronic medical record (EMR) data, machine learning (ML) approaches have emerged as powerful tools to model complex temporal patterns and support dynamic clinical decision-making. However, existing models are often limited by their inability to handle irregular sampling and missing values, and many lack rigorous external validation across institutions. …”
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Adaptive Deeping Siamese Residual Network: A Novel Model for Few-Shot Bearing Fault Diagnosis by Yonghua Jiang, Maoli Lu, Zhilin Dong, Zhichao Jiang, Weidong Jiao, Chao Tang, Jianfeng Sun, Zhongyi Xuan

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Evolution Characteristics of Pore–Fractures and Mechanical Response of Dehydrated Lignite Based on In Situ Computed Tomography (CT) Scanning by Shuai Yan, Lijun Han, Shasha Zhang, Weisheng Zhao, Lingdong Meng

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A Texture-Enhanced Deep Learning Network for Cloud Detection of GaoFen/WFV by Integrating an Object-Oriented Dynamic Threshold Labeling Method and Texture-Feature-Enhanced Attentio... by Bo Zhong, Xiao Tang, Xiaobo Luo, Shanlong Wu, Kai Ao

“…First, an object-oriented dynamic threshold pseudo-labeling approach is developed by leveraging object-oriented principles and adaptive thresholding techniques, enabling the efficient collection of large-scale labeled samples for challenging surfaces. …”
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STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning by Yi Lai, Ye Zhu, Li Li, Qing Lan, Yizheng Zuo

“…Anomalies frequently occur during the operation of spacecraft in orbit, and studying anomaly detection methods is crucial to ensure the normal operation of spacecraft. …”
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Effect of Plasma treated-Aluminum Coating on Plain Woven Fabrics Biodegradable Composites by M. Nagamadhu, Amaresh Gunge, S. B. Kivade, Sachinkumar Patil, Nidhin Raj A, B. Kiran Kumar, Tarlochan Singh, Priyaranjan Sharma, Gajanan Anne

“…The coatings were applied using a plasma spray gun operating at 30 rpm with a spray distance of 10–13 cm. …”
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Development and validation of a continuous fall risk score in community-dwelling older people: an ecological approach by Jorge Bravo, Hugo Rosado, Pablo Tomas-Carus, Cristina Carrasco, Nuno Batalha, Hugo Folgado, Catarina Pereira

“…Further investigation is required to validate the cFRs with other samples since it is a sample-specific tool.…”
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Why is Multi-Business Forestry Needed to Overcome the Low Performance of Forestry Governance and Food Security in Indonesia? by Suryanto Suryanto, Dodik Ridho Nurrochmat, Suria Darma Tarigan, Iskandar Zulkarnaen Siregar, Ishak Yassir, Mangarah Silalahi, Irdika Mansur, Rhett D. Harisson, Agus Wahyudi, Lutfy Abdulah

“…This paper presents a multi-business forestry (Mb-F) implementation strategy analyzed through a dynamic system-based multi-criterion decision-making tool named Super Model Mb-F (SM Mb-F). …”
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Real-time temperature prediction of large-scale lithium battery module driven by data based on few measurement points by Jiajie HAN, Qingyang YUAN, Yu LI, Bo ZHANG, Ke XUE, Tian LAN

“…The integration with a small-sample database further enhances its applicability to large-scale systems. …”
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INDIVIDUAL DIFFERENCES IN WORKING MEMORY PERFORMANCE: «OVERLOAD» EFFECT by Yuri G. Pavlov

“…The obtained data has shown rather uniform and similar dynamics of decrease in quantity of right answers in process of increasing tasks’ complexity. …”
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The Design of a Low-Power Pipelined ADC for IoT Applications by Junkai Zhang, Tao Sun, Zunkai Huang, Wei Tao, Ning Wang, Li Tian, Yongxin Zhu, Hui Wang

“…The ADC implemented operated at a 20 MHz sampling rate under a 1.8 V supply voltage. …”
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Microstructural Characterization and Mechanical Properties of Ti-6Al-4V Alloy Subjected to Dynamic Plastic Deformation Achieved by Multipass Hammer Forging with Different Forging T... by Xiurong Fang, Jiang Wu, Xue Ou, Fuqiang Yang

“…Dynamic plastic deformation (DPD) achieved by multipass hammer forging is one of the most important metal forming operations to create the excellent materials properties. …”
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