Retrospectively understanding the multifaceted interplay of COVID-19 outbreak, air pollution, and sociodemographic factors through explainable AI by Mohmmed Talib, Kripabandhu Ghosh, Gopala Krishna Darbha

“…The developed hybrid model can aid in predicting COVID-19 outcomes in future respiratory outbreaks, supporting public health planning and targeted interventions.…”
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The Overaction of the Inferior Oblique Muscle and Associated Vertical Strabismus: Prevalence, Etiology and Diagnosis by Masoud Khorrami-Nejad, Huda Karim, Wisam Hatem, Mustafa Abdullah, Ali Gheibi, Mohammad Ghasemi Boromand

“…Standardization of IOOA classification is crucial to better understand its severity, develop effective treatment strategies, and predict surgical outcomes. The mechanism of action of the IO muscle is complex and varies with the globe's position during contraction. …”
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Landscape connectivity alters the evolution of density-dependent dispersal during pushed range expansions by Dahirel, Maxime, Bertin, Aline, Calcagno, Vincent, Duraj, Camille, Fellous, Simon, Groussier, Géraldine, Lombaert, Eric, Mailleret, Ludovic, Marchand, Anaël, Vercken, Elodie

“…This shows we need to jointly consider evolution and landscape context to accurately predict range expansion dynamics and their consequences. …”
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Unmasking MRSA antibiotic resistance: the impact of environment, pollution, and healthcare quality—a nationwide exploration in China: a comprehensive analysis spanning 2014 to 2021... by Yi-Chang Zhao, Ming-Xuan Xiao, Zhi-Hua Sun, Jia-Kai Li, Huai-yuan Liu, Bi-Kui Zhang, Hua-Lin Cai, Wei Cao, Feng Yu, Miao Yan

“…Other noteworthy correlations included the effects of corn and pork production, as well as antibiotic use intensity. Our predictive model explained 52.7% of the variability in MRSA AMR, demonstrating strong predictive capability. …”
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Early Serum Heme Oxygenase-1, Soluble Vascular Endothelial Growth Factor Receptor-1, and B-Cell Lymphoma/Leukemia-2 Levels and Unfavorable Obstetric Outcomes by Havva Sutcu, G. Fusun Varol, Cihan Inan, Isil Uzun, N.Cenk Sayin

“…As soluble vascular endothelial growth factor receptor-1 predicted preeclampsia at a value of 11.905 ng/mL, the cutoff values for the heme oxygenase-1 to predict preeclampsia, spontaneous preterm birth, and fetal macrosomia were 0.372 ng/mL, 0.354 ng/mL and 0.494 ng/ml, respectively. …”
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Prognostic value of tumor‐infiltrating lymphocytes and PD‐L1 expression in esophageal squamous cell carcinoma by Jie Hu, Takeshi Toyozumi, Kentaro Murakami, Satoshi Endo, Yasunori Matsumoto, Ryota Otsuka, Tadashi Shiraishi, Shinichiro Iida, Hiroki Morishita, Tenshi Makiyama, Yuri Nishioka, Masaya Uesato, Koichi Hayano, Akira Nakano, Hisahiro Matsubara

“…Conclusion Tumor depth, CD8, and PD‐L1 TC were independent prognostic factors in ESCC, and a predictive nomogram with these three risk factors improved the accuracy of predicting OS in patients with ESCC after surgical resection. …”
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Personalized treatment strategies for breast adenoid cystic carcinoma: A machine learning approach by Sakhr Alshwayyat, Mahmoud Bashar Abu Al Hawa, Mustafa Alshwayyat, Tala Abdulsalam Alshwayyat, Siya sawan, Ghaith Heilat, Hanan M. Hammouri, Sara Mheid, Batool Al Shweiat, Hamdah Hanifa

“…ML models identified key predictive features for survival, including age, nodal status, and ER status. …”
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Preoperative liquid biopsy transcriptomic panel for risk assessment of lymph node metastasis in T1 gastric cancer by Ping’an Ding, Jiaxiang Wu, Haotian Wu, Wenqian Ma, Tongkun Li, Peigang Yang, Honghai Guo, Yuan Tian, Jiaxuan Yang, Limian Er, Renjun Gu, Lilong Zhang, Ning Meng, Xiaolong Li, Zhenjiang Guo, Lingjiao Meng, Qun Zhao

“…Results The RSA model demonstrated excellent predictive accuracy for LNM in surgical specimens (training AUC = 0.890, validation AUC = 0.878), gastroscopic biopsies (AUC = 0.928), and liquid biopsies (training AUC = 0.873, validation AUC = 0.852). …”
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Spatiotemporal variation and influencing factors of phosphorus in Asia’s longest river based on receptor model and machine learning by Gege Cai, Jiamei Zhang, Wanlu Li, Jiejun Zhang, Yun Liu, Shanshan Xi, Guolian Li, Haibin Li, Xing Chen, Fanhao Song, Fazhi Xie

“…The Random Forest model performed well in predicting total phosphorus concentrations, with R2 value of 0.76. …”
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Diet-microbiome covariation across three giraffe species in a close-contact zone by Elin Videvall, Brian A. Gill, Michael B. Brown, Hannah K. Hoff, Bethan L. Littleford-Colquhoun, Peter Lokeny, Paul M. Musili, Tyler R. Kartzinel

“…Instead, geographic proximity strongly predicted diet similarity whereas host-species identity strongly predicted microbiome composition. …”
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An Experimentally Validated Analytical Model for Aerosol Number Concentration Reduction in Classrooms by Qingfeng Cao, Thomas H. Kuehn, Seong Chan Kim, Qisheng Ou, Chenxing Pei, David Y.H. Pui

“…Abstract To predict the aerosol number concentration decay in modern classrooms, this study derived an analytical model that addresses various indoor factors, viz., the filtration efficiency of air ventilation systems, effects of indoor air cleaners, particle deposition on walls, and particle emission from occupants. …”
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Design of Round-Nozzle Inertial Impactors Review with Updated Design Parameters by Francisco J. Romay, Estíbaliz García-Ruiz

“…With this information, it is now possible to design a cascade impactor with near-ideal particle separation performance, and with stage cutpoints that can be predicted with excellent accuracy and verified experimentally using state-of-the-art calibration techniques.…”
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The MyJump App is a Valid Method of Assessing and Classifying Limb Symmetry During Recovery from Anterior Cruciate Ligament Reconstruction by Isaac Whiteley, Vasileios Sideris, Roula Kotsifaki, Enda King, Rod Whiteley

“… # Results Diagnostic accuracy of the MyJump app was very good: positive predictive value for jump height was 0.83 and 1.0 for reactive strength index, and negative predictive value was 0.95 and 1.0 for the same metrics, respectively. …”
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Prognostic value of FCER1G expression and M2 macrophage infiltration in esophageal squamous cell carcinoma by Wei Peng, Yali Zhao, Ningning Yang, Yan Fang, Yintong Wu, Zhenzhong Feng, Qiang Wu, Xian Wang

“…Conclusions FCER1G+ cells infiltration may help to predict the prognosis of ESCC. The combined detection of FCER1G and CD163 has a higher prognostic value.…”
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Displacement of hydrocarbon liquids by water using the models of zonally heterogeneous deformable formations by Marat Ya. Khabibullin, Rustem I. Suleymanov, Razifa R. Stepanova, Alina Az. Gizzatullina, Arsen M. Khabibullin

“… Relevance. The need to predict the main indicators of the development of a gas condensate deposit represented by elastic zonal heterogeneous reservoirs. …”
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The stability of anisotropic compact stars influenced by dark matter under teleparallel gravity: an extended gravitational deformation approach by Sneha Pradhan, Piyali Bhar, Sanjay Mandal, P. K. Sahoo, Kazuharu Bamba

“…To emphasize its compatibility, we highlight the predicted mass and radius in tabular form by varying both the parameters $$\alpha $$ α and $$\zeta _1$$ ζ 1 . …”
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Point-of-care lung ultrasound in detecting pneumonia: A systematic review by Iqra Abid, Nadia Qureshi, Nicola Lategan, Simon Williams, Sidra Shahid

“…Additionally, RevMan 5.4.1 facilitated the calculation of sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), offering insights into diagnostic accuracy…”
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Enhancing hydraulic fracturing efficiency through machine learning by Ali Karami, Ali Akbari, Yousef Kazemzadeh, Hamed Nikravesh

“…This study evaluated the performance of ANN, RF, and KNN models, achieving accuracies of 0.978, 0.979, and 0.893, respectively, which underscores their strong predictive modeling capabilities. The results were meticulously documented for each methodology. …”
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Regional cerebral oxygen saturation during initial mobilization of critically ill patients is associated with clinical outcomes: a prospective observational study by Ryota Imai, Takafumi Abe, Kentaro Iwata, Seigo Yamaguchi, Takeshi Kitai, Atsuhiro Tsubaki

“…Receiver operating characteristic curve analysis identified an optimal rSO2 cut-off value of 57% for predicting in-hospital death (area under the curve 0.818, sensitivity 73%, specificity 83%). …”
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Duncan-Chang Constitutive Model of Vetiver Root and Soil Matrix at Different Growth Stages by WU Ruibin, JI Jinnan, YANG Yuzhe

“…Despite the inability to capture the strain softening phenomenon of individual soil, the stress-strain curve, predicted shear strength indicators, and measured values exhibit a strong correlation (R2>0.91). …”
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