Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

“…We find that the GAM+SMOTE model outperformed the GAM-only model when predicting ozone values for the root mean square error metric, particularly with regard to the above-threshold ozone values, which may be of particularly useful for extreme ozone event prediction. …”
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Enhanced engine misfire diagnosis through integration of vibration and acoustic emission signals using artificial neural networks by Mohamed H. Abdelati, M. Mourad, Al-Hussein Matar, M. Rabie

“…After all the features were put into a complete matrix, the selection algorithms chose the most essential ones for classifying the data. …”
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Robust design of bicycle infrastructure networks by Christoph Steinacker, Mads Paulsen, Malte Schröder, Jeppe Rich

“…Therefore, while planning bicycle infrastructure is important and renders exceptionally high benefit-cost ratios, considerations of robustness and ease of implementation may justify the use of more straightforward network-based methods.…”
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Clinicopathological study of adrenal pheochromocytoma and extra-adrenal paragangliomas with reference to GAPP and PASS scoring systems by Akash Mondal, Moumita Sengupta, Soumya Dey, Anish Kar, Krishnendu Maiti, Debansu Sarkar, Uttara Chatterjee

“…We also found that addition of objective parameters like SDHB immunohistochemistry may further increase the specificity of the existing scoring system.…”
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Automatic Scan-to-BIM—The Impact of Semantic Segmentation Accuracy by Jidnyasa Patil, Mohsen Kalantari

“…Given the rapid advancement of deep learning algorithms in recent years, it is crucial to analyze how their accuracy impacts reconstruction quality. …”
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«Obscenities give rise to thugs»: Obscene vocabulary in the practice of the poet Vsevolod Nekrasov (based on archive materials) by E. N. Penskaya

“…Considering such situations may prove productive, as they clearly reveal the boundaries and ways of speech reaction. …”
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The Necessity of CT Hip Scans in the Investigation of Occult Hip Fractures and Their Effect on Patient Management by Thomas Gatt, Daniel Cutajar, Lara Borg, Ryan Giordmaina

“…The focus of further research should be towards the development of investigation algorithms which decrease the reliance on CT and defining the optimal surgical criteria for occult hip fractures.…”
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Comparative Analysis of Machine Learning Models for Predicting Innovation Outcomes: An Applied AI Approach by Marko Martinović, Kristian Dokic, Dalibor Pudić

“…However, individual models may still prove advantageous under certain metric-specific conditions or computational constraints. …”
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Assessment and simulation of eco-environmental quality changes in rapid rural urbanization: Xiong’an New Area, China by Zhongli Lin, Hanqiu Xu, Xiong Yao, Zhipeng Zhu

“…However, research that combines RSEI with machine learning algorithms to conduct multi-scenario simulation of EEQ is still relatively scarce. …”
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Human-machine collaboration: Ordering mechanism of rank-2 spin liquid on breathing pyrochlore lattice by Nicolas Sadoune, Ke Liu, Han Yan, Ludovic D. C. Jaubert, Nic Shannon, Lode Pollet

“…Machine-learning algorithms thrive on large data sets of good quality. …”
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Posttraumatic epilepsy: clinical, diagnostic and therapeutic features by N. E. Maslov, A. A. Litvinova, P. S. Kovalev, N. N. Maslova, N. V. Yuryeva, E. I. Khamtsova

“…It has been proved that no clear algorithms for PTE diagnostics and treatment are currently available, which often leads to insufficient patient care.…”
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Evaluative representations of the student audience in the context of current processes in Donbas: comparison of studies by L. B. Vnukova

“…The anonymous survey was conducted by means of "Anketolog" in May - June 2023 in different regions of Russia. …”
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Interactive Mitigation of Biases in Machine Learning Models for Undergraduate Student Admissions by Kelly Van Busum, Shiaofen Fang

“…Bias and fairness issues in artificial intelligence (AI) algorithms are major concerns, as people do not want to use software they cannot trust. …”
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Transcriptome Classification Reveals Molecular Subgroups in Idiopathic Pulmonary Fibrosis by Yuxia Liu, Chang Xu, Wenxin Gao, Huaqiong Liu, Chenglong Li, Mingwei Chen

“…We found the molecular subgroups of IPF revealed that cases from different subgroups may have their unique patterns and provide novel information to understand the mechanisms of IPF itself.…”
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MiR-155 has a protective role in the development of non-alcoholic hepatosteatosis in mice. by Ashley M Miller, Derek S Gilchrist, Jagtar Nijjar, Elisa Araldi, Cristina M Ramirez, Christopher A Lavery, Carlos Fernández-Hernando, Iain B McInnes, Mariola Kurowska-Stolarska

“…Together these data indicate that miR-155 plays a pivotal role regulating lipid metabolism in liver and that its deregulation may lead to hepatic steatosis in patients with diabetes.…”
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The Diagnosis and Management of Patients With Findings Consistent With a Breast Implant Associated–Somatic Symptom Disorder (BIA-SSD) by Stephen D. Bresnick, MD, Kate Faasse, PhD, Patricia McGuire, MD

“…For patients with symptoms and a desire to maintain breast implants, referral to a qualified mental health professional trained in SSD therapy may be beneficial. For patients desiring removal of their implants for BII symptoms, explantation with the most conservative possible procedure is recommended.…”
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The impact of weather patterns on increasing violent crime and social cost in South Africa by Tianen Yao, Jinjia Zhang, Xinyu Yang, Yida Wang, Huaixiao Ye, Zhenyu Zhang, Ming Xu

“…Notably, air temperature and precipitation may increase violent crime by 0.41% (95% CI: 0.38%, 0.44%) and 33% (95% CI: 31%, 34%) in the warm season. …”
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A novel ensemble model for fall detection: leveraging CNN and BiLSTM with channel and temporal attention by Sarita Sahni, Sweta Jain, Sri Khetwat Saritha

“…Despite the proliferation of machine learning and deep learning algorithms for fall detection, their efficacy remains hampered by resilience, robustness, and adaptability challenges across varied input scenarios. …”
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Cognitive function changes and DTI-ALPS index in postmenopausal women by Ningning Liu, Yue Zhang, Weiqing Fu, Huijun Liu

“…These included MANOVA, non-linear correlation analysis, structural equation modeling, and machine learning algorithms.ResultsPostmenopausal women exhibited lower right and mean ALPS indices (P < 0.05) and worse cognitive performance on reaction time tasks (P < 0.05). …”
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Rediscovering histology – the application of artificial intelligence in inflammatory bowel disease histologic assessment by Giovanni Santacroce, Irene Zammarchi, Olga Maria Nardone, Ivan Capobianco, Miguel Puga-Tejada, Snehali Majumder, Subrata Ghosh, Marietta Iacucci

“…By leveraging advanced algorithms, AI enhances diagnostic accuracy, reduces assessment variability and streamlines histological workflows in clinical settings. …”
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