Spatio-temporal variability of San Francisco Bay Plume from space by Piero L. F. Mazzini, Cassia Pianca, Cassia Pianca, L. Fernando Pareja-Roman, Kelly L. Cole, Ryan K. Walter, Renato M. Castelao, Elias J. Hunter, Robert J. Chant

“…This paper provides the first observationally based investigation of the spatio-temporal variability of the SFBP, using a plume tracking algorithm applied to more than two decades (2002-2023) of ocean color data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard satellites Aqua and Terra. …”
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Identification of anoikis-related genes classification patterns and immune infiltration characterization in chronic rhinosinusitis with nasal polyps based on machine learning by Ziqi Chen, Lingmei Qu, Qing Hao, Shuang Teng, Shuo Liu, Qin Wu, Hongtian Yi, Xianji Shen, Liang Li, Zhaonan Xu, Yanan Sun

“…Immune cell infiltration was analysed using the CIBERSORT algorithm. CRSwNP samples were classified via consensus clustering. …”
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Association between hemoglobin glycation index and the risk of cardiovascular disease in early-stage cardiovascular-kidney-metabolic syndrome: evidence from the China health and re... by Huiyi Liu, Shuai Mao, Shuai Mao, Yunzhang Zhao, Yunzhang Zhao, Lisha Dong, Lisha Dong, Yifan Wang, Yifan Wang, Chao Lv, Tong Yin, Tong Yin

“…Extreme gradient boosting (XGBoost) algorithm was applied, with the Shapley additive explanation (SHAP) method used to determine feature importance. …”
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Machine-learning assisted discovery unveils novel interplay between gut microbiota and host metabolic disturbance in diabetic kidney disease by I-Wen Wu, Yu-Chieh Liao, Tsung-Hsien Tsai, Chieh-Hua Lin, Zhao-Qing Shen, Yun-Hsuan Chan, Chih-Wei Tu, Yi-Ju Chou, Chi-Jen Lo, Chi-Hsiao Yeh, Chun-Yu Chen, Heng-Chih Pan, Heng-Jung Hsu, Chin-Chan Lee, Mei-Ling Cheng, Wayne Huey-Herng Sheu, Chi-Chun Lai, Huey-Kang Sytwu, Ting-Fen Tsai

“…Finally, the predicted functional capability of a DKD-specific biomarker, Gemmiger spp. is enriched in carbohydrate metabolism and branched-chain amino acid (BCAA) biosynthesis. …”
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An update on multimodal imaging strategies for nipple discharge: from detection to decision by Mireia Pitarch, Rodrigo Alcantara, Laura Comerma, Ivonne Vázquez de Las Heras, Javier Azcona, Antonia Wiedemann, Maja Prutki, Eva Maria Fallenberg

“…With its high sensitivity and negative predictive value of almost 100%, a negative MRI can often obviate the need for surgery. …”
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High-Resolution Mapping of Litter and Duff Fuel Loads Using Multispectral Data and Random Forest Modeling by Álvaro Agustín Chávez-Durán, Miguel Olvera-Vargas, Inmaculada Aguado, Blanca Lorena Figueroa-Rangel, Ramón Trucíos-Caciano, Ernesto Alonso Rubio-Camacho, Jaqueline Xelhuantzi-Carmona, Mariano García

“…A set of vegetation indices and texture metrics derived from the multispectral data, optimized by a “Variable Selection Using Random Forests” (VSURF) algorithm, were used to train random forest (RF) models, enabling the modeling of high-resolution maps of litter and duff fuel loads. …”
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A Multi-Omics Prognostic Model Capturing Tumor Stemness and the Immune Microenvironment in Clear Cell Renal Cell Carcinoma by Beibei Xiong, Wenqiang Liu, Ying Liu, Tong Chen, Anqi Lin, Jiaao Song, Le Qu, Peng Luo, Aimin Jiang, Linhui Wang

“…Recognizing tumor stemness helps to predict treatment efficacy, recurrence, and drug resistance, informing treatment strategies and enhancing ccRCC patient outcomes.…”
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Strategic optimization of engine performance and emissions with bio-hydrogenated diesel and biodiesel: A RVEA-GRNNs framework by Niti Klinkaew, Attasit Wiangkham, Atthaphon Ariyarit, Prasert Aengchuan, Anupap Pumpuang, Sarunporn Sripratum, Atthaphon Maneedaeng, Jiraphon Srisertpol, Ekarong Sukjit

“…The Generalized Regression Neural Networks model demonstrated high accuracy in predicting engine performance and emissions, with coefficient of determination (R2) values exceeding 0.98 and mean absolute percentage errors below 5 %. …”
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Directed disruption of IL2 aggregation and receptor binding sites produces designer biologics with enhanced specificity and improved production capacity by Amy Dashwood, Ntombizodwa Makuyana, Rob van der Kant, Arman Ghodsinia, Alvaro R. Hernandez, Stephanie Lienart, Oliver Burton, James Dooley, Magda Ali, Lubna Kouser, Francisco Naranjo, Matthew G. Holt, Frederic Rousseau, Joost Schymkowitz, Adrian Liston

“…Here we use SolubiS and dTANGO, computational algorithm-based methods, to predict mutations within the IL2 structure to improve protein production yield in muteins with altered cellular selectivity, to generate combined muteins with elevated therapeutic potential. …”
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Multi-omics analyses of the heterogenous immune microenvironment in triple-negative breast cancer implicate UQCRFS1 potentiates tumor progression by Yuhui Tang, Aiqi Xu, Zhongbiao Xu, Jindong Xie, Wei Huang, Liulu Zhang, Yitian Chen, Lu Yang, Shasha Du, Kun Wang

“…Particularly, IL32high Treg imparted an essential effect on tumor evasion and predicted a worsened prognosis of TNBC patients. Furthermore, MCI model enabled to notify the inferior prognosis and immunotherapy resistance in TNBC. …”
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Preliminary evaluation of ShallowHRD performance compared to HRDetect in familial breast cancer tumors by Louise Adel Jensen, Caroline Hey Baekgaard, Mie Bohnensack Larsen, Susanne Eriksen Boonen, Anne Marie Bak Jylling, Zainab Hikmat, Qin Hao, Thomas van Overeem Hansen, Inge Søkilde Pedersen, Martin Jakob Larsen, Mads Thomassen

“…Abstract Determining the Homologous Recombination Deficiency (HRD)-status of a malignant tumor is central in predicting patient response to specific treatments. …”
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Preoperative imaging and intraoperative navigation of the parathyroid glands neoplasms in primary hyperparathyroidism by K. Yu. Slashchuk, M. V. Degtyarev, P. O. Rumyantsev, A. K. Eremkina, N. V. Tarbaeva, D. G. Beltsevich, I. V. Kim, G. A. Melnicthhenko, N. G. Mokrysheva

“…The results allowed us to develop an algorithm for preoperative topical diagnosis of parathyroid glands in patients with laboratory-verified primary hyperparathyroidism and indications for surgical treatmen. …”
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Serum Lipid Biomarkers for the Diagnosis and Monitoring of Neuromyelitis Optica Spectrum Disorder: Towards Improved Clinical Management by Li R, Wang J, Wang J, Xie W, Song P, Zhang J, Xu Y, Tian D, Wu L, Wang C

“…Subsequently, we validated the candidate biomarkers in the retrospective cohort and developed diagnostic models using a random forest algorithm. The association between these lipid biomarkers and disease activity was further evaluated in longitudinal analysis.Results: Our analysis identified a panel of serum lipid-related biomarkers that demonstrated significant differences between NMOSD patients and controls. …”
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Experimental Study on Compressive Capacity Behavior of Helical Anchors in Aeolian Sand and Optimization of Design Methods by Qingsheng Chen, Wei Liu, Linhe Li, Yijin Wu, Yi Zhang, Songzhao Qu, Yue Zhang, Fei Liu, Yonghua Guo

“…The compressive capacity of helical anchors constitutes a pivotal performance parameter in geotechnical design. To precisely predict the compressive bearing behavior of helical anchors in aeolian sand, this study integrates in situ testing with finite element numerical analysis to systematically elucidate the non-linear evolution of its load-bearing mechanisms. …”
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Immunotyping of thyroid cancer for clinical outcomes and implications by Jin Xu, Zhen Luo, Dayong Xu, Mujing Ke, Cheng Tan

“…Furthermore, the prognostic model’s utility in predicting immunotherapy response was analyzed. The potential therapeutic drugs were obtained. …”
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Simplification of the diagnostic approach and treatment of Hepatitis C Virus. by Clara C. Sanchez-Rodriguez, Ana M. Mendoza-Martínez, Héctor R. Sánchez-Nuncio, Jorge H. Luna-Domínguez

“…Fibrosis was calculated using the APRI algorithm, finding 53/130 with >1.5 and 60/130 with >3.25, which predicted F3-4. …”
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Combining Super-Resolution Imaging and Shear Wave Elastography for Enhanced Risk Assessment of Moderate-to-Severe Renal Fibrosis in Chronic Kidney Disease Patients by Huang X, Zhang Y, Hu Y, Pan J, Huang X, Zhang J, Pu H, Chen Y, Deng Q, Zhou Q

“…Furthermore, the nomogram, which integrated clinical factors and ultrasound composite parameters, exhibited excellent predictive performance (AUC = 0.878, 95% CI 0.782– 0.974). …”
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Potential Metabolic Markers in the Tongue Coating of Chronic Gastritis Patients for Distinguishing Between Cold Dampness Pattern and Damp Heat Pattern in Traditional Chinese Medici... by Yuan S, Zhang R, Zhu Z, Zhou X, Zhang H, Li X, Hao Y

“…The model quality was evaluated by 7-fold cross-validation, and the model validity was evaluated based on R²Y (interpretability of categorical variable Y) and Q² (predictability of the model), and the permutation test was used for further verification. …”
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Novel computational One-Health analysis of fibrinogen-binding protein A in Streptococcus agalactiae Isolated from fish and human cases by Rifaldi Iqbal Yadiansyah, Endang Linirin Widiastuti, Wawan Abdullah Setiawan, Favorisen Rosyking Lumbanraja, Rifky Rizkiantino

“…Three-dimensional structures were predicted through ColabFold and validated using Ramachandran plots. …”
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Klasifikasi Kinerja Akademik Siswa Menggunakan Neighbor Weighted K-Nearest Neighbor dengan Seleksi Fitur Information Gain by Rizky Adinda Azizah, Fitra Bachtiar, Sigit Adinugroho

“…Neighbor Weighted K-Nearest Neighbor algorithm with Information Gain method will be applied to this study to help predict student performance. …”
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