The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence by Yang Pu, Hao Li, Wenjia Hou, Xingchen Pan

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EUP: Enhanced cross-species prediction of ubiquitination sites via a conditional variational autoencoder network based on ESM2. by Junhao Liu, Zeyu Luo, Rui Wang, Xin Li, Yawen Sun, Zongqing Chen, Yu-Juan Zhang

“…The identification of shared key features that capture evolutionarily conserved traits enhances the interpretability of the EUP model for ubiquitination prediction. EUP is free and available at (https://eup.aibtit.com/).…”
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Summarization, Prediction, and Analysis of Turkish Constitutional Court Decisions With Explainable Artificial Intelligence and a Hybrid Natural Language Processing Method by Tulay Turan, Ecir Ugur Kucuksille

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Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques by Tuğçe Öznacar, Nuray Varol Kayapunar

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Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank. by Aviv Gafni, Gillian S Dite, Erika Spaeth Tuff, Richard Allman, John L Hopper

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Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting by Zhihong Lv, Rui Sun, Xin Liu, Shuo Wang, Xiaowei Guo, Yuan Lv, Min Yao, Junhua Zhou

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Intratumoral and peritumoral radiomics based on automated breast volume scanner for predicting human epidermal growth factor receptor 2 status by Hao Zhang, Qing Miao, Yan Fu, Ruike Pan, Qing Jin, Changjiang Gu, Xuejun Ni

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Prediction of pavement water film depth and estimation of critical rainfall conditions for refined road safety management: A simulation study. by Jinliang Xu, Wenzhen Lv, Chao Gao, Tian Xin, Xiantong Liu, Yahao Hou

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Applying machine learning techniques to predict the risk of distant metastasis from gastric cancer: a real world retrospective study by Xinxin Qin, Binxu Qiu, Litao Ge, Song Wu, Yuye Ma, Wei Li

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External validation of N2H3 nomogram to predict outcomes in patients with acute ischemic stroke treated by intravenous thrombolysis by Huai-Mei Zhang, Zi-Duo Shen, Yang Qu, Peng Zhang, Reziya Abuduxukuer, Li-Juan Wang, Yu Li, Yu-Mei Chen, An-Ran Liu, Xiao-Dong Liu, Li-Li Zhao, Chun-Yu Yang, Jing Yao, An-Ying Wang, Yong-Fei Jiang, Jin-Cheng Wang, Chen-Peng Dong, Fang-Fang Liu, Li Li, Ying-Bin Qi, Chun-Fei Wang, Hao Li, Li-Ying Zhang, Wen-Juan Ma, Zhen-Ni Guo, Yi Yang

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Surfactant representation using COSMO screened charge density for adsorption isotherm prediction using Physics-Informed Neural Network (PINN) by Achmad Anggawirya Alimin, Kattariya Srasamran, Wanutchaya Yuenyong, Ampira Charoensaeng, Bor-Jier Shiau, Uthaiporn Suriyapraphadilok

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D4Care: A Deep Dynamic Memory-Driven Cross-Modal Feature Representation Network for Clinical Outcome Prediction by Binyue Chen, Guohua Liu

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Prediction of EGFR mutation status in non-small cell lung cancer based on CT radiomic features combined with clinical characteristics by YANG Taotao, WANG Xianqi, CHEN Cancan

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Forest management scenarios to reduce the fire risk in chestnut coppices in the Mediterranean area by Vittorio Garfì, Pasquale Antonio Marziliano, Gherardo Chirici, Antonino Nicolaci, Francesco Iovino

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The development of a body weight prediction method for Ongole Crossbred cattle using a meta-analysis and field experiment approach by Frediansyah Firdaus, Bayu Andri Atmoko, Panjono ., Yudi Adinata, Tanda Sahat Panjaitan, Noor Hudhia Krishna, Retno Widiyawati, Malik Makmur, Fajar Ariadi

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Strategies of a Wind–Solar–Storage System in Jiangxi Province Using the LEAP–NEMO Framework for Achieving Carbon Peaking Goals by Yao Xiao, Caixia Yang, Tao Chen, Mingze Lei, Supannika Wattana, Buncha Wattana

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Accelerated Predictive Stability Testing: Accelerating Registration Phase and Application of Reduced Designs for Shelf-Life Determination of Parenteral Drug Product by Lara Pavčnik, Mateja Prunk, Tina Trdan Lušin, Robert Roškar

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Predicting the clinical subcutaneous absorption rate constant of monoclonal antibodies using only the primary sequence: a machine learning approach by Ronghua Bei, Justin Thomas, Shiven Kapur, Mahlet Woldeyes, Adam Rauk, Jason Robarge, Jiangyan Feng, Kaoutar Abbou Oucherif

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The Application of BiGRU-MSTA Based on Multi-Scale Temporal Attention Mechanism in Predicting the Remaining Life of Lithium-Ion Batteries by Luping Wang, Shanze Wang

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Toward prediction of entrepreneurial exit in Iran; a study based on GEM 2008-2019 data and approach of machine learning algorithms by Masoumeh Moterased, Seyed Mojtaba Sajadi, Ali Davari, Mohammad Reza Zali

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