Development of a sustainable strategy model for predicting optimal container stacking locations in container yards using artificial intelligence and cubic data by Mohammed Ahmed Moqbel Saleh, Attariuas Hicham, M.L. Ben Maâti, Hatem Taha, Yahya M.A. Mohammed

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Comparison of the actual release dates of ascospores of the fungus Venturia inaequalis with those predicted by selected simulation models in an apple orchard in Central Poland by Sylwester Masny, Piotr Sobiczewski

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Risk prediction model of cognitive performance in older people with cardiovascular diseases: a study of the National Health and Nutrition Examination Survey database by Hui Wang, Sensen Wu, Dikang Pan, Yachan Ning, Cong Wang, Jianming Guo, Yongquan Gu

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Do Learning Activities Improve Students' Ability to Construct Explanatory Models with a Prism Foil Problem? by Mihael Gojkošek, Josip Sliško, Gorazd Planinšič

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LocPro: A deep learning-based prediction of protein subcellular localization for promoting multi-directional pharmaceutical research by Yintao Zhang, Lingyan Zheng, Nanxin You, Wei Hu, Wanghao Jiang, Mingkun Lu, Hangwei Xu, Haibin Dai, Tingting Fu, Ying Zhou

“…All in all, LocPro serves as a valuable complement to existing protein localization prediction tools. The web server is freely accessible at https://idrblab.org/LocPro/.…”
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Optimization of purchasing plans based on forecasted demand for resources by Szymon Niewiadomski, Grzegorz Mzyk

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The Curricular Reform of Art Education in Primary School in Slovenia in Terms of Certain Components of the European Competence of Cultural Awareness and Expression by Rajka Bračun Sova, Metoda Kemperl

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Development and validation of a novel model to predict post-stroke cognitive impairment within 6 months after acute ischemic stroke by Ming Wei, Xiaofeng Zhu, Xiu Yang, Jin Shang, Qiang Tong, Qiu Han

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Proton pump inhibitors use and risk of type 2 diabetes mellitus: correlation analysis, prediction model construction, and key genes identification by Cuilv Liang, Yin Zhang

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The effect of educational intervention on preventive behaviors against cutaneous leishmaniasis in employees of Shiraz special economic zone subsidiary companies by Afsaneh Ghasemi, Fatemeh Mohammadkhah, Hasan Bahja, Amirhossein Kamyab, Ali Khani Jeihooni

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Risk prediction models to determine maternal and newborn adverse pregnancy outcomes in low and middle-income countries: A scoping review protocol. by Douglas Aninng Opoku, Peter Agyei-Baffour, Stephaney Gyaase, Eliezer Odei-Lartey, Joseph Osarfo, Jonathan Gmanyanmi, Francis Appiah, George Adjei, Yeetey Enuameh

“…<h4>Introduction</h4>Globally, low and middle-income countries (LMICs) account for the majority of the adverse pregnancy outcomes. Risk prediction models (RPMs) can guide physicians in making clinical decisions to improve maternal and newborn health. …”
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A deep learning model for prediction of lysine crotonylation sites by fusing multi-features based on multi-head self-attention mechanism by Yunyun Liang, Minwei Li

“…The experimental results show that our model has very good performance in predicting Kcr sites. …”
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Identification of predictors and construction of a prediction model for the quality of life in laryngeal carcinoma patients in China using revised core nursing outcomes by Yongxia Ding, Yanzhi Tian, Ruirui Duan, Jing Xu, Huixian Yang, Jinxia Xu, Liyun Tang

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Accuracy of Machine Learning Models for Early Prediction of Major Cardiovascular Events Post Myocardial Infarction: A Systematic Review and Meta-Analysis by Yi Xiang, Dong Liu, Leilei Guo, Yuhua Zheng, Xiaoman Xiong, Tao Xu

“…Thus, we conducted this study to review the ML models’ performance in predicting MACEs following MI, contributing to the evidence base for the application of clinical prediction tools. …”
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Advanced machine learning models for prediction of readmission and mortality risks in patients with chronic obstructive pulmonary disease using routine clinical data by Yasuhiro Goto, Daisuke Niwa, Shuhei Shibata, Ryoma Nishimoto, Masami Miyata, Takashi Kanno, Toshiyuki Washizawa, Masashi Kondo, Kazuyoshi Imaizumi

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Correction: Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study by Minseok Hong, Ri-Ra Kang, Jeong Hun Yang, Sang Jin Rhee, Hyunju Lee, Yong-gyom Kim, KangYoon Lee, HongGi Kim, Yu Sang Lee, Tak Youn, Se Hyun Kim, Yong Min Ahn

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Enhanced Prediction Performance of Internal Defect Detection in Wind Turbine Blades on Thermography Using Deep Learning Models with Preprocessed Synthetic Data by Haemyung Chon, Daekyun Oh, Jackyou Noh

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Epi4Ab: a data-driven prediction model of conformational epitopes for specific antibody VH/VL families and CDRs sequences by Nhan Dinh Tran, Krithika Subramani, Chinh Tran-To Su

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An Improved Prediction of Indian Summer Monsoon Onset From State‐of‐the‐Art Dynamic Model Using Physics‐Guided Data‐Driven Approach by A. S. Sahana, Subimal Ghosh

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Advanced Network Traffic Prediction Using Deep Learning Techniques: A Comparative Study of SVR, LSTM, GRU, and Bidirectional LSTM Models by Wang Yuxin

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