Application of deep residual networks to predict the effective properties of fiber-reinforced composites with voids by Mahdi Karimian, Seyed Ali Hosseini Kordkheili

“…A novel deep-learning method is adopted to predict effective mechanical properties of epoxy-based fiber-reinforced composites. …”
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A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction by Tuong Le, Minh Thanh Vo, Bay Vo, Mi Young Lee, Sung Wook Baik

“…Many studies have been developed for bankruptcy prediction utilizing different machine learning approaches on various datasets around the world. …”
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Approximate Prediction-Based Control Method for Nonlinear Oscillatory Systems with Applications to Chaotic Systems by Thiago P. Chagas, Pierre-Alexandre Bliman, Karl H. Kienitz

“…The approximate Prediction-Based Control method (aPBC) is the continuous-time version of the well-known Prediction-Based Chaos Control method applied to stabilize periodic orbits of nonlinear dynamical systems. …”
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Enhancing thyroid disease prediction and comorbidity management through advanced machine learning frameworks by P. Sanju, N. Syed Siraj Ahmed, P. Ramachandran, P. Mohamed Sajid, R. Jayanthi

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Intraoperative Hyperspectral Imaging Predicts Early Allograft Dysfunction and Overall Survival in Liver Transplantation by Andri Lederer, MD, Antonia Alina Geisler, MD, Robert Sucher, MD, Daniel Seehofer, MD, Hans-Michael Hau, MD, Uwe Scheuermann, PD, Sebastian Rademacher, MD

“…This study explored the novel application of hyperspectral imaging (HSI) for in vivo allograft perfusion assessment during liver transplantation (LT) and its potential value for predicting early allograft dysfunction (EAD), graft, and overall survival (OS). …”
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Analysis and Prediction of Grouting Reinforcement Performance of Broken Rock Considering Joint Morphology Characteristics by Guanglin Liang, Linchong Huang, Chengyong Cao

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Investigating the Predictive Role of Cognitive Emotion Regulation Strategies in Depression, Anxiety and Stress of Adolescents by Shakiba Mahmoudi, Abbas Firoozabadi, Seyed Ruhollah Hosseini, Seyyed Kazem Rasoolzadeh Tabatabaei, Maryam Shamsaei

“…The simultaneous regression method was utilized to test the research hypotheses.Results: The results of this analysis indicate that cognitive emotion regulation strategies significantly predict psychological distress (P < 0.001). Specifically, maladaptive emotion regulation strategies directly predict levels of depression, anxiety, and stress experienced by adolescents, while adaptive emotion regulation strategies play an inverse predictive role in determining these mental health outcomes within this age group.Discussion: The results of this study indicate that the type of emotion regulation strategies—adaptive versus maladaptive—plays a significant role in predicting the experiences of depression, anxiety, and stress in adolescents. …”
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Depth Prediction of Karstic-Fault Reservoirs Based on Wellbore Temperature Measurements and Numerical Simulations by Jian Lei, Baozhi Pan, Yuhang Guo, YuFei Fan, Lihua Zhang

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Dynamic Influence Prediction of Social Network Based on Partial Autoregression Single Index Model by Ya-hui Jia, Taotao Song, Shun-yao Wu, Qi Zhang, Yu-xia Su

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Simplified Assessment of Antiretroviral Adherence and Prediction of Virological Efficacy in HIV-Infected Patients in Cambodia by Olivier Segeral, Yoann Madec, Boroath Ban, Vara Ouk, Chan Roeurn Hak, Clotilde Le Tiec, Eric Nerrienet, Cécile Goujard, Anne Marie Taburet, Jean Francois Delfraissy, Arnaud Fontanet

“…Biological markers were predictive of virological efficacy. MCV might thus serve as a simple alternative for assessing adherence and predicting virological efficacy among patients receiving AZT- or d4T-based regimens.…”
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The Predictive Value of the Pentraxin 3 Concentration in Cumulus Cell Culture Media for the Embryo Implantation by Tulay Irez, Yavuz Sahin, Eduard Malik, Onur Guralp

“…CONCLUSION: The cumulus cell culture medium Pentraxin 3 concentration was predictive for successful embryo implantation. Low Pentraxin 3 levels (<60 ng/mL were associated with failure of conception. …”
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Predicting the Link between Stock Prices and Indices with Machine Learning in R Programming Language by Mengya Cao

“…Stock prices are difficult to predict by a single financial formula because there are too many factors that can affect stock prices. …”
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Rigid-Plastic Approximations for Predicting Plastic Deformation of Cylindrical Shells Subject to Dynamic Loading by Michelle S. Hoo Fatt, Tomasz Wierzbicki, Minos Moussouros, John Koenig

“…A theoretical approach was developed for predicting the plastic deformation of a cylindrical shell subject to asymmetric dynamic loads. …”
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Retracted: English Teaching Achievement Prediction by Big Data Analysis under Deep Intervention by Journal of Electrical and Computer Engineering

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Predicting Changes of the Cultivation Areas for Astamaran and Berhi Cultivars in Iran in the 21st Century by Maryam Afzali, javad khoshhal dastjerdi, Aziz Torahi

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Contrastive-learning of language embedding and biological features for cross modality encoding and effector prediction by Yue Peng, Junze Wu, Yi Sun, Yuanxing Zhang, Qiyao Wang, Shuai Shao

“…All experimentally verified effectors in Enterohemorrhagic Escherichia coli and 41 of 43 experimentally verified T3SEs of Salmonella Typhimurium are recognized. Moreover, 12 predicted T3SEs and 11 predicted T6SEs are validated by extensive experiments in Edwardsiella piscicida. …”
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Why Fuzzy Transform Is Efficient in Large-Scale Prediction Problems: A Theoretical Explanation by Irina Perfilieva, Vladik Kreinovich

“…In many practical situations like weather prediction, we are interested in large-scale (averaged) value of the predicted quantities. …”
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Spinal cord demyelination predicts neurological deterioration in patients with mild degenerative cervical myelopathy by Jefferson R Wilson, David Anderson, Stephan Duplessis, Julien Cohen-Adad, David W Cadotte, Nathan Evaniew, Jacques Bouchard, Michael Craig, Abdul Al-Shawwa, Kalum Ost, Steve Casha, W Bradley Jacobs, Saswati Tripathy, Peter Lewkonia, Fred Nicholls, Alex Soroceanu, Ganesh Swamy, Kenneth C Thomas, Michael MH Yang, Nicholas Dea

“…Various machine learning (ML) models were trained to predict 6 month neurological deterioration, followed by global and local model interpretation to assess feature importance.Results A total of 49 patients were followed for a maximum of 2 years, contributing 110 6-month data entries. …”
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Real-Time Travel Time Prediction Based on Evolving Fuzzy Participatory Learning Model by Yongyi Li, Ming Zhang, Yixing Ding, Zhenghua Zhou, Lingyu Xu

“…This model can be used to predict the travel time in the field to be used for active traffic control and traffic guidance.…”
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The Role of von Willebrand Factor Antigen in Predicting Survival of Patients with HBV-Related Cirrhosis by Youmin Pan, Renyong Guo, Yan Lv, Dawei Cui, Jue Xie

“…We aimed to evaluate whether the addition of vWF-Ag can improve the risk prediction ability of the MELD scoring system. Methods. …”
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