Economic evaluation of pan-genotypic generic direct-acting antiviral regimens for treatment of chronic hepatitis C in Iran: a cost-effectiveness study by Seyed Moayed Alavian, Mohammad Tasavon Gholamhoseini, Heidar Sharafi, Helena HL Borba, Asma Sabermahani, Behzad Hajarizadeh

“…This study evaluated the cost-effectiveness of genotype-dependent and pan-genotypic DAA regimens in Iran as an example of a resource-limited setting.Methods A Markov model was developed to simulate HCV natural history. A decision tree was developed for HCV treatment, assuming four scenarios, including scenario 1: genotyping, sofosbuvir/ledipasvir (SOF/LDV) for genotype 1, and sofosbuvir/daclatasvir (SOF/DCV) for genotype 3; scenario 2: genotyping, SOF/LDV for genotype 1, and sofosbuvir/velpatasvir (SOF/VEL) for genotype 3; scenario 3: no genotyping and SOF/DCV for all; and scenario 4: no genotyping and SOF/VEL for all. …”
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Machine Learning Models of Acute Kidney Injury Prediction in Acute Pancreatitis Patients by Cheng Qu, Lin Gao, Xian-qiang Yu, Mei Wei, Guo-quan Fang, Jianing He, Long-xiang Cao, Lu Ke, Zhi-hui Tong, Wei-qin Li

“…With the provision of additional information such as demographic characteristics or laboratory data, support vector machine (SVM), random forest (RF), classification and regression tree (CART), and extreme gradient boosting (XGBoost) were used to build models of AKI prediction and compared to the predictive performance of the classic model using logistic regression (LR). …”
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Predictors for recurrence of chronic osteomyelitis following long bones cavity defect replacement with synthetic materials by Alexander V. Afanasyev, Svetlana A. Bozhkova, Vasily A. Artyukh

“…Multivariate analysis was performed using the classification tree method ​​to develop a scale for the comprehensive risk assessment of osteomyelitis recurrence (CRAOR). …”
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Integrated analysis of the transcriptome and hormone metabolome elucidates the regulatory mechanisms governing walnut bud germination by Kai Zhao, Xiaofan Wu, Bo Liang, Shuang Gao, Jieyan Yang, Yan Bai, Yaru Wang, Xin Tian, Fang Wang, Xiuqing Yang

“…Abstract The walnut (Juglans regia) is an important oilseed tree species characterized by its extensive distribution, high oil yield, and nutrient-dense kernels, which provide substantial economic benefits. …”
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Echinococcal Cyst Blockade — the Rare Cause of Acute Pancreatitis and Obstructive Jaundice by S. A. Budzinskiy, S. G. Shapovaliants, R. V. Plakhov, M. V. Murashkina, E. A. Vorobyeva, D. R. Berdieva, P. V. Usyaky, E. D. Fedorov

“…It revealed no echinococcal cysts, residual parasitic structures or biliary tree lesions. The treatment was completed with pancreatic stenting. …”
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Synergistic effects of chemical and biochemical fertilization on yield enhancement and oil quality optimization in ‘Zard’ olive cultivars by Mohammad Saeed Tadayon, Ahmad Asgharzadeh, Seyed Majid Mousavi, Kobra Saghafi

“…The second factor, biological fertilizer application (BF), also comprised three levels: BF0 (control), soil-applied organic fertilizer without biological agents; BF1, which included a soil application of an organic fertilizer mix, mycorrhizal fungi, and the beneficial bacteria Bacillus subtilis and Pseudomonas fluorescens, supplemented with fulvic acid and amino acids; and BF1+BFF, where trees were treated with both soil and foliar applications of the aforementioned bacterial species, fulvic acid, and amino acids.ResultsThe CF100+BF1+BFF treatment significantly increased fruit length (31.14%), diameter (41.61%), flesh thickness (30.48%), fresh weight (38.76%), dry weight (55.68%), and yield per tree (27.00%) compared to the control (CF100+BF0). …”
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Predicting the exposure of mycophenolic acid in children with autoimmune diseases using a limited sampling strategy: A retrospective study by Ping Zheng, Ting Pan, Ya Gao, Juan Chen, Liren Li, Yan Chen, Dandan Fang, Xuechun Li, Fei Gao, Yilei Li

“…Ten algorithms, including Random Forest, XGBoost, LightGBM, Gradient Boosting Decision Tree, CatBoost, Artificial Neural Network, Grandient Boosting Machine, Transformer, Wide&Deep, and TabNet, were employed for modeling based on two, three, or four concentrations of MPA. …”
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Streptococcus halichoeri: Comparative Genomics of an Emerging Pathogen by Kirsi Aaltonen, Ravi Kant, Marjut Eklund, Mirja Raunio-Saarnisto, Lars Paulin, Olli Vapalahti, Thomas Grönthal, Merja Rantala, Tarja Sironen

“…The core and pangenomes were formed by comparing the genomes against each other in an all-against-all comparison. A phylogenetic tree was constructed using the genes of the core genome. …”
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From Waste to Value: Optimization of Ultrasound-Assisted Extraction of Anthocyanins and Flavonols from <i>Pistacia lentiscus</i> L. Oilcakes by Lucrezia Muti, Luana Beatriz dos Santos Nascimento, Giulia Goracci, Cassandra Detti, Cecilia Brunetti, Anna Rita Bilia, Francesco Ferrini, Antonella Gori

“…., commonly known as the mastic tree or lentisk, is a woody Mediterranean plant revered for its ecological relevance as well as for its extensive ethnobotanical heritage. …”
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Evaluating the Impact of Data Transformation Techniques on the Performance and Interpretability of Software Defect Prediction Models by Yu Zhao, Zhiqiu Huang, Lina Gong, Yi Zhu, Qiao Yu, Yuxiang Gao

“…Through empirical research on (i) six classification techniques (random forest, decision tree, logistic regression, Naive Bayes, K-nearest neighbors, and multilayer perceptron), (ii) six performance evaluation indicators (Accuracy, Precision, Recall, F1, MCC, and AUC), (iii) two interpretable methods (permutation and SHAP), (iv) two feature importance measures (Top-k feature rank overlap and difference), and (v) three datasets (Promise, Relink, and AEEEM), our results show that the data transformation methods can significantly improve the performance of the SDP models and greatly affect the variation of the most important features. …”
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Diagnosis Osteoporosis Risk: Using Machine Learning Algorithms Among Fasa Adults Cohort Study (FACS) by Saghar Tabib, Seyed Danial Alizadeh, Aref Andishgar, Babak Pezeshki, Omid Keshavarzian, Reza Tabrizi

“…Methods We analysed the data related to osteoporosis risk factors obtained from the Fasa Adults Cohort Study in eight ML methods, including logistic regression (LR), baseline LR, decision tree classifiers (DT), support vector classifiers (SVC), random forest classifiers (RF), linear discriminant analysis (LDA), K nearest neighbour classifiers (KNN) and extreme gradient boosting (XGB). …”
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Isolation and characterization of a novel highly efficient bacterium Lysinibacillus boronitolerans QD4 for quantum dot biosynthesis by Xingyu Gu, Xingyu Gu, Xiaoju Li, Ruijia Zhang, Ruijia Zhang, Ruoli Zheng, Ruoli Zheng, Mingrui Li, Mingrui Li, Rong Huang, Xin Pang

“…Through the physio-biochemical characterization and 16S rRNA-based phylogenetic tree analysis, the strain is identified as Lysinibacillus boronitolerans QD4. …”
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Research on path planning for coal mine rescue robots by ZHU Hongbo, YIN Hongliang

“…Simulation results show that: ① In static environments, the path search time using the HSTA*-G-DWA algorithm is reduced by 81.82% and 64.63% on average compared to the traditional A* and bidirectional A* algorithms, respectively, with improved path safety and smoothness. ② In unknown environments, the HSTA*-G-DWA algorithm can avoid unknown obstacles in real time, reducing the path length by 10.34%, 14.28%, and 2.45% compared to the rapidly-exploring random tree (RRT) algorithm, the improved A* algorithm, and existing integrated algorithms, respectively. …”
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Research on Traffic Accident Severity Level Prediction Model Based on Improved Machine Learning by Jiming Tang, Yao Huang, Dingli Liu, Liuyuan Xiong, Rongwei Bu

“…A multi-layer perceptron (MLP) was used for the preliminary prediction, and then its result was combined with the original features to form a new feature. Decision tree, XGBoost, and random forest algorithms, respectively, were applied for the secondary prediction. …”
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Using target enrichment sequencing to study the higher-level phylogeny of the largest lichen-forming fungi family: Parmeliaceae (Ascomycota) by Felix Grewe, Claudio Ametrano, Todd J. Widhelm, Steven Leavitt, Isabel Distefano, Wetchasart Polyiam, David Pizarro, Mats Wedin, Ana Crespo, Pradeep K. Divakar, H. Thorsten Lumbsch

“…The reduced genome-scale data set was analyzed using concatenated-based Bayesian inference and two different Maximum Likelihood analyses, and a coalescent-based species tree method. The resulting topology was strongly supported with the majority of nodes being fully supported in all three concatenated-based analyses. …”
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qPRF: A system to accelerate population receptive field modeling by Sebastian Waz, Yalin Wang, Zhong-Lin Lu

“…The system achieves this level of acceleration by pre-computing a tree-like data structure, which it rapidly searches during the fitting step for an optimal parameter combination. …”
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Sidewalk thermal comfort in street canyon and role of pavements under perpendicular sun rays during summer by D. Jareemit, M. Srivanit

“…Urban planners and designers should consider integrating additional strategies such as tree planting, Sidewalks facing different directions, exposed to sunlight, instead of pedestrian arcades and overhead shading structures. …”
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Using the optimal seed germination temperature approach to determine the potential distribution of Inga jinicuil in Mexico under climate change scenarios by Salvador Sampayo-Maldonado, Daniel Cabrera-Santos, Patricia Dávila-Aranda, Norma Isela Rodríguez-Arévalo, Alma Orozco-Segovia, Maraeva Gianella, Elizabeth Bell, Michael Way, Robert H. Manson, Gabina S. Quintas, Cesar M. Flores-Ortíz, Tiziana Ulian

“…More research on seed germination and growth is needed to improve the management and conservation of this species and its continued use as a shade tree in coffee agroforestry systems.…”
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Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach by Tianshu Gu, Wensen Pan, Jing Yu, Guang Ji, Xia Meng, Yongjun Wang, Minghui Li

“…The study analyzed AI model performance across different racial and ethnic groups and employed transfer learning techniques to improve model fairness by adapting pre-trained models to the specific demographic and clinical characteristics of the population. Results Decision Tree (DT) and Random Forest (RF) models consistently showed improvements in accuracy, precision, and ROC-AUC scores for Non-Hispanic Black, Hispanic/Latino, and Asian populations. …”
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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

“…Nine ML algorithms, including tree-based, kernel-based, probabilistic, and linear algorithms, were used. …”
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