Anisotropy in the Creep–Fatigue Behaviors of a Directionally Solidified Ni-Based Superalloy: Damage Mechanisms and Life Assessment by Anping Long, Xiaoshan Liu, Lei Xiao, Gaoxiang Zhang, Jiangying Xiong, Ganjiang Feng, Jianzheng Guo, Rutie Liu

“…As the strain range increases, the damage mechanism transitions from creep-dominated to creep–fatigue coupled damage, with cracks nucleating preferentially on the surface and exhibiting a characteristic of multiple fatigue sources. …”
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Environmental Taxes and Sustainable Development in the EU: A Decade of Data-Driven Insights by Branimir Kalaš, Vera Mirović, Dragana Bolesnikov, Seyi Saint Akadiri, Magdalena Radulescu

“…In the short run, none of the tax variables show significant effects, although pollution tax revenues have a transitional impact of 0.196. The error correction term of −1.321 confirms a strong long-run adjustment, reinforcing the gradual economic benefits of environmental taxation. …”
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A dynamic prediction model for predicting the time at which patients with MCI progress to AD based on time-dependent covariates by Yanjie Wang, Yu Song, Chengfeng Zhang, Jiaqiao Ren, Pansheng Xue, Yawen Hou, Zheng Chen

“…Timely intervention during the transitional stages from Mild Cognitive Impairment (MCI) to AD can help mitigate this issue. …”
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Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions by Mohamad Alkhalidi, Abdullah Al-Dabbous, Shoug Al-Dabbous, Dalal Alzaid

“…However, it reveals notable biases and underrepresented variability during transitional seasons. Taylor diagrams and error metrics further emphasize ERA5’s challenges in capturing localized dynamics influenced by land-sea interactions. …”
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A multiscale crystal plasticity-multistage fatigue coupling framework for prediction of low-cycle fatigue life in laser additively manufactured titanium alloy by Ning Guo, Jiang Yu, Qingjun Zhou, Jilai Wang, Guangchun Xiao, Bingtao Tang, Zhongguo Zhang

“…The validity of the proposed framework was tested against strain-life curves, demonstrating a mean prediction error about 4.6% across a range of strain amplitudes (0.4%–1.2%). …”
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Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System by Shing-Hong Liu, Bo-Yan Wu, Xin Zhu, Chiun-Li Chin

“…Then, we proposed a flowchart to extract the parameter, pulse transit time (PTT), within each segment. The feature included two calibration-based parameters and one calibration-free parameter was used to estimate BP with XGBoost. …”
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A Novel Electromagnetic Induction-Based Approach to Identify the State of Shallow Groundwater in the Oasis Group of the Tarim Basin in Xinjiang During 2000–2022 by Fei Wang, Yang Wei, Rongrong Li, Hongjiang Hu, Xiaojing Li

“…Specific results are shown below: Numerous algorithmic predictions show the ensemble learning algorithm with the smallest error explained 71% of the ECa spatial variability. …”
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Continuous wave mud pulse data transmission method based on continuous gradation frequency keying modulation and Convolution neural network demodulation by Yingzhong Zhu, Zhenhua Xia, Yue Yang, Cihao Zhu, Guoqing Cai, Shuang Hu, Junhao Wang

“…Physical tests show that CGFK, particularly when assisted by CNN demodulation, possesses the capability to avoid or reduce ISI caused by motor inertia, and achieves favorable information transmission rates and bit error rate (BER) compared to traditional FSK and PSK.…”
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A growth posture identification method of immature peaches in natural environments by Jidong Lv, Liangliang Niu, Ying Han, Xiaoqin Sun, Lingyun Wang, Hailong Rong, Ling Zou

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Models of early stages of design of trunk-route passenger airplanes with taking families into account by P. V. Zhuravlev, V. N. Zhuravlev

“…The advancement of design, modeling and manufacturing methods allowed transitioning from allocating these reserves as means for possible error compensation to their planning or management. …”
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Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM by Kazuki Hebiguchi, Hiroyoshi Togo, Akimasa Hirata

“…Reconstruction performance was assessed using Pearson's correlation coefficient and root mean squared error (RMSE) across various input lead configurations, ranging from single to quintuple inputs. …”
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Association Analysis of Benzo[<i>a</i>]pyrene Concentration Using an Association Rule Algorithm by Minyi Wang, Takayuki Kameda

“…The clustering performance was enhanced by optimizing the K-means method using the sum of squared error. The efficiency and reliability of the traditional Apriori algorithm were enhanced by restructuring its candidate itemset generation process, specifically by (1) generating C₂ exclusively from frequent itemset L₁ to avoid redundant database scans and (2) implementing the iterative pruning of nonfrequent subsets during L_k → C_k+1 transitions, adding the lift parameter, and eliminating invalid rules. …”
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Introducing a novel 3D Chen-Rössler map for NTRU-based image encryption with OFDM transmission over a noisy channel by Alain F. Djomo, Lee Mariel H. Yepdia, Yannick P. K. Nkandeu, Yannick A. Abanda, Alain Tiedeu

“…Post-quantum cryptography is emerging as a new way of guaranteeing data security in transit in the cloud. NTRU (Nth degree Truncated polynomial Ring Unit) is a promising algorithm in this new branch of cryptography. …”
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Aura Ozone Monitoring Instrument (OMI) Collection 4 Formaldehyde Products by Zolal Ayazpour, Gonzalo González Abad, Caroline R. Nowlan, Kang Sun, Hyeong‐Ahn Kwon, Christopher Chan Miller, Heesung Chong, Huiqun Wang, Xiong Liu, Kelly Chance, Ewan O’Sullivan, Lei Zhu, Corinne Vigouroux, Isabelle De Smedt, Wolfgang Stremme, James W. Hannigan, Justus Notholt, Xiaoyu Sun, Mathias Palm, Cristof Petri, Kimberly Strong, Amelie N. Röhling, Emmanuel Mahieu, Dan Smale, Yao Té, Isamu Morino, Isao Murata, Tomoo Nagahama, Rigel Kivi, Maria Makarova, Nicholas Jones, Ralf Sussmann, Minqiang Zhou

“…The retrieval algorithm updates and makes improvements to the NASA operational OMI HCHO (OMI Collection 3 HCHO) algorithm, and has been transitioned to use OMI Collection 4 Level‐1B radiances. …”
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Deep Learning Autoencoders for Fast Fourier Transform-Based Clustering and Temporal Damage Evolution in Acoustic Emission Data from Composite Materials by Serafeim Moustakidis, Konstantinos Stergiou, Matthew Gee, Sanaz Roshanmanesh, Farzad Hayati, Patrik Karlsson, Mayorkinos Papaelias

“…Markov chain analysis captures the transitions between damage states, providing a predictive framework for assessing damage progression. …”
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FEN-MRMGCN: A Frontend-Enhanced Network Based on Multi-Relational Modeling GCN for Bus Arrival Time Prediction by Ting Qiu, Chan-Tong Lam, Bowie Liu, Benjamin K. Ng, Xiaochen Yuan, Sio Kei Im

“…Accurate bus arrival time prediction is crucial for enhancing passenger experience and optimizing smart city transit systems. Existing methods, typically based on single-route, sparse stop data, struggle with the complex spatiotemporal interactions present in dense stop areas and multi-route networks, resulting in lower prediction accuracy. …”
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Two-qubit gate protocols with microwave-dressed Rydberg ions in a linear Paul trap by Joseph W P Wilkinson, Katrin Bolsmann, Thiago L M Guedes, Markus Müller, Igor Lesanovsky

“…We show how non-adiabatic transitions resulting from fast laser driving relative to the characteristic time scales of the system detrimentally affect the fidelity. …”
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Unlocking the therapeutic potential of unexplored phytocompounds as hepatoprotective agents through integration of network pharmacology and in-silico analysis by Pranali A. Jadhav, Asha B. Thomas, Mohsin K. Pathan, Somdatta Y. Chaudhari, Ravindra D. Wavhale, Sohan S. Chitlange

“…Our findings demonstrate the utility of this integrated approach which transits beyond traditional trial-and-error methods. …”
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Enhanced power sharing and voltage regulation for islanded nano-satellite DC microgrids in spinning flight scenarios by Khalil Louassaa, Josep M. Guerrero, Baseem Khan, Muhammad Zain Yousaf, Mohamed Ali Zdiri, Liu Zhang, Rajkumar Sivanraju

“…Comprehensive validation through stability analysis, simulations, and experimental testing demonstrates superior performance versus conventional methods, with significant improvements in transient response speed, steady-state error reduction, and disturbance rejection capability. …”
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Transient Stability Analysis of Wind-Integrated Power Systems via a Kuramoto-like Model Incorporating Node Importance by Min Cheng, Jiawei Yu, Mingkang Wu, Yayao Zhang, Yihua Zhu, Yuanfu Zhu

“…As the global energy structure transitions towards cleaner sources, large-scale integration of wind power has become a trend for modern power systems. …”
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