Forest Ecological Diversity Change Prediction Discrete Dynamic Model by Jingxia Li, Aijun Zhou, Yongfeng Liao, Zixin Zhao, Xiaoli Mao, Shuoxin Zhang

“…At the same time, the grey theory GM (1,1) model is used to predict the development trend of forest resources in China. …”
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Prediction of a Small-Scale Pool Fire with FireFoam by Camilo Andrés Sedano, Omar Darío López, Alexander Ladino, Felipe Muñoz

“…A good agreement was achieved with some of the experimental and previous computational results, especially in the prediction of the flame height and the average temperature contours.…”
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Prediction of Dynamic Characteristics of Thermocouples with Thin-Wire Sensing Elements by I. A. Safina, S. A. Artemyeva

“…Thermocouples dynamic characteristicsʼ prediction is one of the relevant directions in the field of dynamic measurements of non-stationary temperatures of liquid and gaseous media. …”
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Collagen turnover biomarkers to predict outcome of patients with biliary cancer by Leonard Kaps, Muhammed A. Genc, Markus Moehler, Stephan Grabbe, Jörn M. Schattenberg, Detlef Schuppan, Rasmus Sund Pedersen, Morten A. Karsdal, Philipp Mildenberger, Annett Maderer, Nicholas Willumsen

“…Notably, only the novel marker PRO-C8 was also predictive of PFS (HR 3.26, 95% CI 1.53; 6.95). Associations with survival outcomes remained significant after adjusting for relevant risk factors (CA 19–9 and CEA at baseline, age, presence of metastases, weight, height and gender). …”
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Predicting bursal-side supraspinatus tendon tears with the acromioclavicular angle by Nadhaporn Saengpetch, Jaturong Bamrungchaowkasem, Niyata Chitrapazt, Pinkawas Kongmalai

“…Further multi-center, prospective studies are warranted to confirm the clinical utility of the AC angle in predicting rotator cuff pathology.…”
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Establishment of a Nomogram for Predicting Early Death in Viral Myocarditis by Xuejun Sun, Naxin Xie, Mengling Guo, Xuelian Qiu, Hongwei Chen, Haibo Liu, Hongmu Li

“…This research aimed to establish a nomogram for predicting early death in viral myocarditis (VMC) patients. …”
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Comparison of Predictive Control Methods for High Consumption Industrial Furnace by Goran Stojanovski, Mile Stankovski

“…We describe several predictive control approaches for high consumption industrial furnace control. …”
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Prediction of the pull-out strength of chemical anchors in natural stone by L. Contrafatto, R. Cosenza

“…The applicability of some numerical models for the prediction of the failure mechanism and of the bearing capacity of post-installed threaded rods chemically anchored in basalt, sandstone and limestone is investigated, as well as the reliability of theoretical formulations conceived for concrete. …”
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Prediction of Immune Infiltration Diagnostic Gene Biomarkers in Kawasaki Disease by Hongjun Ba, Yao Wang, Lili Zhang, Huishen Wang, Zhan-Peng Huang, Youzhen Qin

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Economic evaluations of predictive genetic testing: A scoping review. by Qin Xi, Shihan Jin, Stephen Morris

“…Predictive genetic testing can provide information about whether or not someone will develop or is likely to develop a specific condition at a later stage in life. …”
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Prediction of Chaotic Time Series Based on BEN-AGA Model by LiYun Su, Fan Yang

“…Aiming at the prediction problem of chaotic time series, this paper proposes a brain emotional network combined with an adaptive genetic algorithm (BEN-AGA) model to predict chaotic time series. …”
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Cuproptosis genes in predicting the occurrence of allergic rhinitis and pharmacological treatment by Ting Yi

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Predicting hotel booking cancellations to decrease uncertainty and increase revenue by Nuno Antonio, Ana de Almeida, Luis Nunes

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Factors in Gestational Diabetes Mellitus Predicting the Needs for Insulin Therapy by Ya Zhang, Jiashen Shao, Feifei Li, Xianming Xu

“…To identify factors predicting the need for insulin therapy in pregnancies complicated by gestational diabetes mellitus (GDM). …”
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Prediction of Future Terrorist Activities Using Deep Neural Networks by M. Irfan Uddin, Nazir Zada, Furqan Aziz, Yousaf Saeed, Asim Zeb, Syed Atif Ali Shah, Mahmoud Ahmad Al-Khasawneh, Marwan Mahmoud

“…This concludes that DNN is a suitable model to be used for predicting the behavior of terrorist activities. Our experiments also demonstrate that the dataset for terrorist activities is big data; therefore, a DNN is a suitable model to process big data and understand the underlying patterns in the dataset.…”
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Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma by Abdul Basit Ahanger, Syed Wajid Aalam, Tariq Ahmad Masoodi, Asma Shah, Meraj Alam Khan, Ajaz A. Bhat, Assif Assad, Muzafar Ahmad Macha, Muzafar Rasool Bhat

“…This study explores the utility of radiogenomics and machine learning (ML) in predicting these oncogenic signaling pathways in GBM patients. …”
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Prediction and Treatment of Difficult Cases in Colorectal Endoscopic Submucosal Dissection by Yutaka Inada, Naohisa Yoshida, Munehiro Kugai, Kazuhiro Kamada, Kazuhiro Katada, Kazuhiko Uchiyama, Osamu Handa, Tomohisa Takagi, Hideyuki Konishi, Nobuaki Yagi, Yuji Naito, Naoki Wakabayashi, Akio Yanagisawa, Yoshito Itoh

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Prediction of Mg Alloy Corrosion Based on Machine Learning Models by Zhenxin Lu, Shujing Si, Keying He, Yang Ren, Shuo Li, Shuman Zhang, Yi Fu, Qi Jia, Heng Bo Jiang, Haiying Song, Mailing Hao

“…The RF algorithm offered the most accurate predictions than the other three machine learning algorithms. …”
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Complex multivariate model predictions for coral diversity with climatic change by Tim R. McClanahan, Maxwell K. Azali, Nyawira A. Muthiga, Sean N. Porter, Michael H. Schleyer, Mireille M. M. Guillaume

“…Models explored influences of climate change, water quality, direct human‐resource extraction, and variable selection processes. We examined the predictions for numbers of coral taxa using all variables and compared them to models based on variables commonly used to predict climate change and human influences (eight and nine variables). …”
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Leveraging synthetic data to improve regional sea level predictions by Guanchao Tong, Jiayou Chao, Wenxuan Ma, Ziqi Zhong, Gaurav Gupta, Wei Zhu

“…This underscores the effectiveness of synthetic data in enhancing sea level prediction accuracy, across all regions studied.…”
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