Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat (Triticum aestivum L.) by Zhu Yang, Zhu Yang, Wenjie Kan, Wenjie Kan, Ziqi Wang, Caiguo Tang, Yuan Cheng, Yuan Cheng, Dacheng Wang, Dacheng Wang, Yameng Gao, Lifang Wu, Lifang Wu

“…Additionally, the least absolute shrinkage and selection operator (LASSO) regression algorithm in machine learning was used to screen transcription factors such as bHLH, WRKY, and MYB that influenced the expression of TaAkPHY genes. …”
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Mucocutaneous Adverse Events in Patients With Cancer Treated with the Highly Selective RET Kinase Inhibitor Selpercatinib (LOXO-292) by Rachel E. Reingold, MD, Rose Parisi, MD, MBA, Guilherme Harada, MD, Andrea P. Moy, MD, George Dranitsaris, PhD, Jasmine H. Francis, MD, Julia Canestraro, OD, FAAO, Julia A. Lester, MPH, Lauren A. Kaplanis, RN, Dazhi Liu, PharmD, BCOP, Mario E. Lacouture, MD, Alexander Drilon, MD

“…There were 18 (14%) MAE-related therapy interruptions, including the following: three (2%) rechallenged with dose maintained, 10 (7%) with a 50% dose reduction, 5 (4%) with a 25% dose reduction, and no drug discontinuations. A treatment algorithm was created for the most common MAEs: xerostomia managed with saliva and lubricants; mucositis with steroid rinses; rashes with topical steroids with or without topical ammonium lactate; periorbital edema with cold or caffeine compresses; and xerosis and pruritus with emollients. …”
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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

“…Conclusion: The deep learning DCU-Net algorithm model can improve the performance of tumor CT image segmentation, and the reconstructed fine model can better reflect the actual situation of individual tumors; the MR system constructed based on this model enhances clinicians’ understanding of tumor morphology and spatial relationships. …”
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Current data on the circulation of the Q fever pathogen in the Republic of Guinea by Ekaterina V. Naidenova, Kirill S. Zakharov, Dmitry A. Agafonov, Mikhail Yu. Kartashov, Aislu M. Senichkina, Erik S. Khalilov, Abdoul B. Ibrahim, Mamadou B. Bah, Ibrahim Nourdine, Nikolai K. Tokarevich, Sanaba Boumbaly, Yusuf Sidime, Svetlana A. Shcherbakova, Vladimir V. Kutyrev

“…Regular monitoring and assessment of risk factors for diseases caused by coxiella are necessary for the development of an algorithm for laboratory diagnosis and recommendations for clinicians.…”
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Analysis of changes in the genome of the Omsk hemorrhagic fever virus (Flaviviridae: <i>Orthoflavivirus</i>) during laboratory practices for virus preservation by Zhanna S. Tyulko, Artem V. Fadeev, Aleksei G. Vasilenko, Ekaterina A. Gradoboeva, Valerii V. Yakimenko, Andrey B. Komissarov

“…In the phylogenetic analysis, the relaxed clock algorithm of the BEAST program was used. Results. …”
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Integrative analysis of cuproptosis-related lncRNAs: Unveiling prognostic significance, immune microenvironment, and copper-induced mechanisms in prostate cancer by Haitao Zhong, Yiming Lai, Wenhao Ouyang, Yunfang Yu, Yongxin Wu, Xinxin He, Lexiang Zeng, Xueen Qiu, Peixian Chen, Lingfeng Li, Jie Zhou, Tianlong Luo, Hai Huang

“…Prognostic models of PCa based on cuproptosis-related lncRNAs were constructed using a multi-level attention graph neural network (MLA-GNN) deep learning algorithm. Immune escape scoring was performed using Tumor Immune Dysfunction and Exclusion. …”
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Identification of RAD51AP1 as a key gene in hepatitis B virus-associated hepatocellular carcinoma by Meiling Wan, Yonghong Wang, Xiaoling Liu, Yaling Li, Cunliang Deng, Changfeng Sun

“…Methods: HBV-associated HCC datasets (GSE19665, GSE121248, GSE55092, GSE94660, and TCGA-LIHC) acquired from public databases were mined to identify key driver genes by differentially expressed gene analysis, weighted gene co-expression network analysis (WGCNA), followed by protein-protein interaction network analysis, Lasso-Cox regression analysis, and randomforestSRC algorithm. Then, in vitro experiments including CCK-8 assay, wound healing, and Transwell assay were performed to explore the functions and mechanisms. …”
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Defining ecological thresholds to detect potential ecological risks of offshore wind power using macrobenthic biodiversity and indicator species in Cangnan, China by Wanhong Han, Chen Song, Yurong Zhang, Weiwei Zhou, Yushu Yang, Danyi Ke, Aoxiang Huang, Xiaobo Wang, Qingxi Han

“…Additionally, the pruned exact linear time (PELT) algorithm was applied to detect key CPA change points, and threshold indicator taxa analysis (TITAN) was used to confirm reliable ecological thresholds. …”
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Modeling Marine Geoid in the China Seas and Its Adjacent Ocean Based on Satellite Altimeter-Derived Gravity Anomaly Model by Huiying Zhang, Xin Liu, Zhen Li, Xiaotao Chang, Heping Sun, Hui Li, Jinyun Guo

“…Firstly, the accuracy of the algorithm is verified using the 2190-degree XGM2019e_2159 gravity field model and the 2159-degree EGM2008 gravity field model. …”
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Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses by Bin Zhao, Dan Wang, Yanling Liu, Xiaohong Zhang, Zheng Wan, Jinling Wang, Ting Su, Linshan Duan, Yan Wang, Yuehua Zhang, Yilin Zhao

“…Besides, we detected the relative fraction of 22 immune cell types in atherosclerosis by using the deconvolution algorithm of “cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT).” …”
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Earth–lunar thermal effect on the temperature stability of TianQin telescope and the suppression methods by Wenbo Chang, Yuxiang Wang, Wenhai Tan, Guanhua Wu, Houyuan Chen, Wei Li, Zizheng Li, Fan Zhu, Zhu Li, Xuefeng Zhang, Shanqing Yang

“…In this article, an innovative algorithm is proposed for accelerating the Gebhart factors calculation, and the detailed evaluation from the direct earth and lunar heat flux to the telescope’s temperature stability has been accomplished. …”
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Effectiveness of an electronic clinical decision support system in improving the management of childhood illness in primary care in rural Nigeria: an observational study by Marek Kwiatkowski, Rodolfo Rossi, Torsten Schmitz, Fenella Beynon, Capucine Musard, Marco Landi, Daniel Ishaya, Jeremiah Zira, Muazu Muazu, Camille Renner, Edwin Emmanuel, Solomon Gideon Bulus

“…Objectives To evaluate the impact of ALgorithm for the MANAgement of CHildhood illness (‘ALMANACH’), a digital clinical decision support system (CDSS) based on the Integrated Management of Childhood Illness, on health and quality of care outcomes for sick children attending primary healthcare (PHC) facilities.Design Observational study, comparing outcomes of children attending facilities implementing ALMANACH with control facilities not yet implementing ALMANACH.Setting PHC facilities in Adamawa State, North-Eastern Nigeria.Participants Children 2–59 months presenting with an acute illness. …”
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Using the Nutri-Score to visualise food reformulation in Germany: the case of breakfast cereals by Corinna Gréa, Anna Dittmann, David Wolff, Hanna Haidar, Silvia Roser, Benedikt Merz, Stefan Storcksdieck genannt Bonsmann

“…The Nutri-Score was calculated using the 2023 algorithm. Results Sugar content of children’s and non-children’s breakfast cereals decreased by 25.5% (p < 0.001) and 8.7% (p < 0.001), respectively, while fat content increased (+ 32.0% (p < 0.001) and + 7.0% (p < 0.036)). …”
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Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model by Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, Henry Hojoon Seo, Blake M. Bacevich, Pengwei Xiao, Young-Min Kwon

“…This study aims to compare the predictive accuracy of the SRC with a novel artificial neural network (ANN) algorithm for 30-day readmission after primary TKA, using the same set of clinical variables from a large national database. …”
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Single-cell profiling transcriptomic reveals cellular heterogeneity and cellular crosstalk in breast cancer lymphatic node, bone, and brain metastases by Longyu Zhu, Miaomiao Liu, Yuguang Shang, Jingge Cheng, Hongye Zhao, Jun Zhang, Dongxing Shen

“…The malignant epithelial cells were characterized by InferCNV algorithm. The cell-cell communication was analyzed using CellChat package. …”
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Sequence-structure based prediction of pathogenicity for amino acid substitutions in proteins associated with primary immunodeficiencies by Ekaterina S. Porfireva, Anton D. Zadorozhny, Anastasia V. Rudik, Dmitry A. Filimonov, Alexey A. Lagunin, Alexey A. Lagunin

“…SSPR models were created for each protein using the MultiPASS software based on the Bayesian algorithm and different levels of MNA (Multilevel Neighborhoods of Atoms) descriptors for the representation of structural formulas of protein fragments including AAS.ResultsThe accuracy of prediction was assessed through a 5-fold cross-validation and compared to other bioinformatics tools, such as SIFT4G, Polyphen2 HDIV, FATHMM, MetaSVM, PROVEAN, ClinPred, and Alpha Missense. …”
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Identification of Anoikis-Related Genes in Chronic Kidney Disease Based on Bioinformatics Analysis Combined with Experimental Validation by Liu H, Mei M, Zhong H, Lin S, Luo J, Huang S, Zhou J

“…Ultimately, we applied the CIBERSORTx algorithm to conduct immune infiltration analysis, classifying immune characteristics based on the abundance of 22 immune cell types.Results: To summarize, we identified 13 ARDEGs. …”
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Comprehensive Sepsis Risk Prediction in Leukemia Using a Random Forest Model and Restricted Cubic Spline Analysis by Kou Y, Tian Y, Ha Y, Wang S, Sun X, Lv S, Luo B, Yang Y, Qin L

“…Feature selection was performed using univariate logistic regression, LASSO, and the Boruta algorithm, followed by multivariate logistic regression analysis. …”
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Analisis Kinerja Intrusion Detection System Berbasis Algoritma Random Forest Menggunakan Dataset Unbalanced Honeynet BSSN by Kuni Inayah, Kalamullah Ramli

“…In this research, we propose an IDS design based on a random forest algorithm with the CIC-ToN-IoT dataset as a whitelist dataset and the Honeynet BSSN dataset as a blacklist dataset. …”
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A dynamic knee function scoring system for anterior cruciate ligament injuries based on normative six-degree-of-freedom gait pattern by Junqiao Li, Yunhe Mao, Tian Lan, Liang Huangfu, Yan Xiong, Jian Li

“…Based on the large sample dataset, a novel 6-DOF scoring system was developed using the dynamic time warping algorithm. To further validate the scoring system, an additional 83 patients with ACL injuries were included, and their preoperative dynamic knee kinematics assessment and patient-reported outcome measurements (PROMs) were recorded. …”
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