The efficiency of interferon stimulated gene 15 expression in peripheral blood for early pregnancy prediction in Awassi ewes by Eman H. Lazim, Khawla A. Hussein, Dhafer M. Aziz

“…The accuracy, specificity, sensitivity, and positive and negative predictive values of ISG15 expression on days 15 and 25 of pregnancy were 90%, 100%, 85.7%, 100%, and 75%, and 100%, 100%, 100%, 100%, and 100%, respectively. …”
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Exploring the Behavior-Driven Crash Risk Prediction Model: The Role of Onboard Navigation Data in Road Safety by Xiao-chi Ma, Jian Lu, Yiik Diew Wong

“…The behavioral RUSBoost model surpasses other models, achieving an AUC prediction metric of 0.782 and outperforming traditional traffic-flow-driven machine learning models. …”
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A Multimode Dynamic Short-Term Traffic Flow Grey Prediction Model of High-Dimension Tensors by Huiming Duan, Xinping Xiao

“…To predict the traffic flow state, it is necessary to design a model that can adapt to changing traffic flow characteristics. …”
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Revealing the Impact of Understory Fires on Stem Survival in Palms (Arecaceae): An Experimental Approach Using Predictive Models by Marcus Vinicius de Athaydes Liesenfeld

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USE OF ALLELE-SPECIFIC MARKERS OF THE PPD AND VRN GENES FOR PREDICTING GROWING SEASON DURATION IN BARLEY CULTIVARS by M. M. Zlotina, O. N. Kovaleva, I. G. Loskutov, E. K. Potokina

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Novel (Q)SAR models for prediction of reversible and time-dependent inhibition of cytochrome P450 enzymes by Sadegh Faramarzi, Arianna Bassan, Kevin P. Cross, Xinning Yang, Glenn J. Myatt, Donna A. Volpe, Lidiya Stavitskaya

“…Furthermore, five quantitative structure-activity relationship (QSAR) models were developed to predict not only time-dependent inhibition of CYP3A4, an enzyme that metabolizes approximately 50% of all marketed drugs, but also reversible inhibition of 3A4, 2C9, 2C19 and 2D6. …”
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Research on Neural Network Prediction Model of Whole Process Risk Management Based on Building Information Model by Shihong Huang, Chengye Liang, Jiao Liu

“…The international large public sports center project is used as a case study to establish a BIM model, while the BP neural network risk management model is used for prediction and calculation. The results of this study show that, first, the maximum deviation rate of the output indicators of the BP neural network risk model is 3.57% in the design period (B2) and the minimum deviation rate is 0.00% in the commissioning period (B4), which verifies the reliability of the training results of the model. …”
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Prediction greenhouse gas emissions from road freight flow in South Korea for sustainable transportation planning by Hoseok Nam, Jihye Byun, Hyungseok Nam

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Predicting the Direction Movement of Financial Time Series Using Artificial Neural Network and Support Vector Machine by Muhammad Ali, Dost Muhammad Khan, Muhammad Aamir, Amjad Ali, Zubair Ahmad

“…Prediction of financial time series such as stock and stock indexes has remained the main focus of researchers because of its composite nature and instability in almost all of the developing and advanced countries. …”
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Stability Analysis and Instability Time Prediction of Tunnel Roofs in a Karst Region Based on Catastrophe Theory by Yang Zou, Qianlong Tang, Limin Peng

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Establishment of a Shear Strength Prediction Model for Asphalt Mixtures with Raw Materials Properties and Design Parameters by Bangwei Wu, Xing Wu, Liping Liu, Peng Xiao

“…The result showed that the correlation coefficient between the predicted and measured value reached 0.8 or more, indicating that the model has satisfactory prediction accuracy. …”
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MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops by Dian Chao, Hao Wang, Fengqiang Wan, Shen Yan, Wei Fang, Yang Yang

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A Modified Nonlinear Damage Accumulation Model for Fatigue Life Prediction Considering Load Interaction Effects by Huiying Gao, Hong-Zhong Huang, Shun-Peng Zhu, Yan-Feng Li, Rong Yuan

“…The foundation of fatigue life prediction under variable amplitude loading is how to deal with the fatigue damage accumulation. …”
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A sparrow search algorithm based hybrid meta-heuristic algorithm for population growth rate prediction by Milad Shahvaroughi Farahani, Hamed Farrokhi-Asl Farrokhi-Asl, Ghazal Ghasemi

“…The paper also emphasizes the inclusion of influential and impactful indices as input variables to enhance prediction accuracy.…”
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Evaluating the advancements in protein language models for encoding strategies in protein function prediction: a comprehensive review by Jia-Ying Chen, Jia-Ying Chen, Jia-Ying Chen, Jing-Fu Wang, Jing-Fu Wang, Jing-Fu Wang, Yue Hu, Yue Hu, Yue Hu, Xin-Hui Li, Xin-Hui Li, Xin-Hui Li, Yu-Rong Qian, Yu-Rong Qian, Yu-Rong Qian, Chao-Lin Song, Chao-Lin Song, Chao-Lin Song

Subjects: “…protein function prediction…”
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Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer by Shengli SHAO, Jiheng WANG, Shanting LIU

“…With the establishment and sharing of large datasets, automated annotation, algorithm optimization, and resolution of data security issues, deep learning is expected to accurately predict lateral neck lymph node metastasis in PTC. …”
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A spatiotemporal distribution prediction model for electric vehicles charging load in transportation power coupled network by Xiaolong Yang, Jingwen Yun, Shuai Zhou, Tek Tjing Lie, Jieping Han, Xiaomin Xu, Qian Wang, Zeqi Ge

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Opioid Nonadherence Risk Prediction of Patients with Cancer-Related Pain Based on Five Machine Learning Algorithms by Jinmei Liu, Juan Luo, Xu Chen, Jiyi Xie, Cong Wang, Hanxiang Wang, Qi Yuan, Shijun Li, Yu Zhang, Jianli Hu, Chen Shi

“…However, there is currently no effective prediction method for opioid adherence in patients with cancer pain. …”
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Water-Cement-Density Ratio Law for the 28-Day Compressive Strength Prediction of Cement-Based Materials by Siqi Li, Jinbo Yang, Peng Zhang

“…The water-cement-density ratio law illustrates better simulations for the prediction of the 28-day compressive strength of cement-based materials. …”
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Role of B7‐H3 in predicting response to neoadjuvant chemotherapy in muscle‐invasive bladder cancer by Ekamjit S. Deol, Reza Nabavizadeh, Roxane R. Lavoie, Mihai G. Dumbrava, Edlira Horjeti, Prabin Thapa, John C. Cheville, Igor Frank, Fabrice Lucien

“…We aimed to explore if B7H3 expression on bladder biopsy samples was a predictive biomarker for pathologic response to neoadjuvant platinum‐based chemotherapy. …”
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