Preoperative inflammatory markers and tumor markers in predicting lymphatic metastasis and postoperative complications in colorectal cancer: a retrospective study by Huiming Wu, Yize Wang, Min Deng, Zhensheng Zhai, Dingwen Xue, Fei Luo, Huiyu Li

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Advancement of a diagnostic prediction model for spatiotemporal calibration of earth observation data: a case study on projecting forest net primary production in the mid-latitude... by Eunbeen Park, Hyun-Woo Jo, Gregory Scott Biging, Jong Ahn Chun, Seong Woo Jeon, Yowhan Son, Florian Kraxner, Woo-Kyun Lee

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Spatiotemporal Dynamics and Potential Distribution Prediction of <i>Spartina alterniflora</i> Invasion in Bohai Bay Based on Sentinel Time-Series Data and MaxEnt Modeling by Qi Wang, Guoli Cui, Haojie Liu, Xiao Huang, Xiangming Xiao, Ming Wang, Mingming Jia, Dehua Mao, Xiaoyan Li, Yihua Xiao, Huiying Li

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Deadbeat-based control for MMC-HVDC power systems by Milovan Majstorović, Vaibhav Nougain, Leposava Ristić, Aleksandra Lekić

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Prediction of post-insertion infections related to totally implantable subcutaneous venous access ports in tumor patients using a nomogram by Sen Wang, Heng Zong, Lei Tang, Yuandong Wei

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GPU-Based Implementation of Pruned Artificial Neural Networks for Digital Predistortion Linearization of Wideband Power Amplifiers by Wantao Li, Raul Criado, William Thompson, Gabriel Montoro, Kevin Chuang, Pere L. Gilabert

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Prediction and effect on relapse of natural killer cell alloreactivity based on KIR-HLA interactions in pediatric haploidentical transplantation with anti-thymoglobulin by Xiang-Feng Tang, Yan-Hui Luo, Ying-Jian Si, Mao-Quan Qin, Wei Lu, Wei Chen, Guo-Sheng Xing, Wei Cao, Hai-Fei Zhou, Xiang-Jun Liu

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Coordinated control scheme for LVRT enhancement for grid-connected PV systems by Ahmed M. Osman, Tarek H.M. EL-Fouly, Mohamed Shawky El Moursi, Ahmed Al-Durra, Khalifa Hassan Al Hosani

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Correlates and effects of information, motivation and behavioral skills on primary sexual abstinence among female university students in Ethiopia: a cross-sectional study by Banti Negero Feyisa, Gurmessa Tura Debelew, Zewdie Birhanu Koricha

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Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study by Shayan Nejadshamsi, Vania Karami, Negar Ghourchian, Narges Armanfard, Howard Bergman, Roland Grad, Machelle Wilchesky, Vladimir Khanassov, Isabelle Vedel, Samira Abbasgholizadeh Rahimi

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Highly concentrated iron ore slurry flow through pipeline with and without chemical additive; part I: Experimental investigations and proposed model for the prediction of pressure... by Mishra Stuti, Kaushal Deo Raj

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Prediction Modeling and Driving Factor Analysis of Spatial Distribution of CO₂ Emissions from Urban Land in the Yangtze River Economic Belt, China by Chao Wang, Jianing Wang, Le Ma, Mingming Jia, Jiaying Chen, Zhenfeng Shao, Nengcheng Chen

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Optimization of Dynamic Characteristics of Rubber-Based SMA Composite Dampers Using Multi-Body Dynamics and Response Surface Methodology by Yizhe Huang, Qiyuan Fan, Huizhen Zhang, Lefei Shao, Yuanyuan Shi

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Improving prediction accuracy of hospital arrival vital signs using a multi-output machine learning model: a retrospective study of JSAS-registry data by Yasuyuki Kawai, Koji Yamamoto, Keisuke Tsuruta, Keita Miyazaki, Hideki Asai, Hidetada Fukushima

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Optical Response Tailoring via Morphosynthesis of Ag@Au Nanoparticles by David Oswaldo Romero-Quitl, Siva Kumar Krishnan, Martha Alicia Palomino-Ovando, Orlando Hernández-Cristobal, José Concepción Torres-Guzmán, Jesús Eduardo Lugo, Miller Toledo-Solano

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Comparing conventional and Bayesian workflows for clinical outcome prediction modelling with an exemplar cohort study of severe COVID-19 infection incorporating clinical biomarker... by Brian Sullivan, Edward Barker, Louis MacGregor, Leo Gorman, Philip Williams, Ranjeet Bhamber, Matt Thomas, Stefan Gurney, Catherine Hyams, Alastair Whiteway, Jennifer A. Cooper, Chris McWilliams, Katy Turner, Andrew W. Dowsey, Mahableshwar Albur

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MED-Prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes by Awais Ahmed, Xiaoyang Zeng, Rui Xi, Mengshu Hou, Syed Attique Shah

“…To bridge these gaps, this study introduces a novel MED-Prompt framework that employs pretrained models such as BERT, BioBERT, and ClinicalBERT. The core of our framework lies in developing specialized prompts, which act as guiding instructions for the models during the prediction process. …”
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System-level characterization of engineered and evolved formatotrophic E. coli strains by Suzan Yilmaz, Boas Kanis, Rensco A.H. Hogers, Sara Benito-Vaquerizo, Jörg Kahnt, Timo Glatter, Beau Dronsella, Tobias J. Erb, Maria Suarez-Diez, Nico J. Claassens

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Optimization-Based Path Planning With Artificial Potential Function by Seongyeon Kim, Kiyun Gil, Jongho Shin

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Automatic method to predict visual pleasantness and unpleasantness of streetscapes and identify key microscale components for improving pedestrian environments by Meesung Lee, Byungjoo Choi, Sungjoo Hwang

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