Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data by Vasiliki (Vicky) Bikia, Dionysios Adamopoulos, Dionysios Adamopoulos, Dionysios Adamopoulos, Marco Roffi, Marco Roffi, Georgios Rovas, Stéphane Noble, Stéphane Noble, François Mach, François Mach, Nikolaos Stergiopulos

“…Our approach replaces the traditional optimization process developed in our previous work, with a regression method, utilizing an in silico-generated dataset of various hemodynamic profiles to create a gradient boosting regression-enabled SV estimator. This dataset accurately mimics the dynamic characteristics of the 1-D model, allowing for precise SV predictions without resource-intensive parameter adjustments. …”
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Urethral and bladder dosimetry and urinary toxicity in prostate cancer patients undergoing SBRT with and without intra-prostatic boost by Nisha Bhargava, Martina Hurwitz, Josephine Levey, Lily Bennett, Joseph A. Aronovitz, Daniel R. Schmidt, Jonathan W. Lischalk, Irving D. Kaplan, Nima Aghdam

“…Background and purpose: To evaluate the dosimetric and toxicity profiles of stereotactic body radiotherapy (SBRT) for prostate cancer, comparing cohorts with and without intraprostatic boost (IPB) to assess feasibility and safety of IPB, with particular attention to urethral and bladder dose and toxicity. …”
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An eleven level single source switched capacitor boost inverter with reduced component stress and limited inrush current by Alireza Poulad, Majid Hosseinpour, Mojtaba Najafi, Abdolrasool Ghasemi

“…A comprehensive comparison based on important performance parameters has been conducted with other structures to evaluate the efficiency of the proposed topology. …”
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Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI by Nisreen Innab, Shtwai Alsubai, Ebtisam Abdullah Alabdulqader, Aisha Ahmed Alarfaj, Muhammad Umer, Silvia Trelova, Imran Ashraf

“…The proposed model's significance is further evaluated using 10-fold cross-validation and comparing the proposed model with other state-of-the-art models.…”
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Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones... by Abhijeet Das

“…Again, in this appraisal, we utilized three models- Cat Boost (Cat B), AdaBoost (AB), and Gradient Boosting (GB)- to estimate the specified river catchment’s suitability for surface water irrigation. …”
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Study on risk factors of impaired fasting glucose and development of a prediction model based on Extreme Gradient Boosting algorithm by Qiyuan Cui, Jianhong Pu, Wei Li, Yun Zheng, Jiaxi Lin, Lu Liu, Peng Xue, Jinzhou Zhu, Mingqing He

“…Feature selection, parameter optimization, and model construction were performed in the training set, while the validation set was used to evaluate the predictive performance of the models. …”
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Deep learning-based synthetic CT for dosimetric monitoring of combined conventional radiotherapy and lattice boost in large lung tumors by Hongwei Zeng, Xiangyu E, Minghe Lv, Su Zeng, Yue Feng, Wenhao Shen, Wenhui Guan, Yang Zhang, Ruping Zhao, Jingping Yu

“…Conclusions The sCT generated by the U-Net +  + model enhanced the accuracy of monitoring the actual accumulated dose, thereby facilitating the evaluation of therapeutic efficacy and toxicity. Additionally, the sCT-based LRT boost plan, combined with CRT, further minimized the dose delivered to OARs while ensuring safe and precise treatment delivery.…”
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A Seismic Response and AdaBoost Regressor-Based Vulnerability Analysis of an ±800 kV Suspended Filter Capacitor by Quan Zhou, Yongheng Mao, Zhongkai Yin, Chang He, Ting Yang

“…A new approach for vulnerability assessment based on an adaptive boosting (AdaBoost) regressor is proposed considering the uncertainties of multiple material parameters of the suspension insulators. …”
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Rice husk derived nanosilica for boosting morpho-physiological properties and micronutrient nutrition of hybrid maize (Zea mays L.) by Rakesh Bekkam, Chitdeshwari Thiyagarajan, Mohanapriya Ganesan

“…A pot culture experiment was conducted to evaluate the effects of synthesized nanosilica on hybrid maize under irrigated and drought situations. …”
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imanr: An R tool for the identification of Mexican native maize complexes by Arturo Sanchez-Porras, Aline Romero-Natale, Otilio Acevedo-Sandoval, Edlin Guerra-Castro

“…This study presents the development and evaluation of the imanr package, a computational tool based on Boosted Ensembles designed to automate the classification of racial complexes of native maize. …”
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Dual Loop FOPI Controller-Based Equilibrium Optimizer Tuning Approach for Three-Phase Interleaved Boost Converter: PEMFC HEVs by Salah Okba, Ramzi Saadi, Mohamed Yacine Hammoudi, Yassine Himeur, Abir Betka, Shadi Atalla, Wathiq Mansoor

“…The FOPI based-controller’s optimal parameters are meticulously determined through the Equilibrium Optimizer (EO) algorithm, enhancing overall system performance and responsiveness. …”
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1-ϕ Seven-Level Switched-Capacitor Boost Multilevel Inverter Topology With Optimized Number of Components by Ahmed Awadelseed, Arkadiusz Lewicki, Dmytro Kondratenko

“…The proposed topology has been evaluated based on parameters such as component count, THD, cost, and efficiency. …”
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A multilevel boost DC-DC converter with MPPT algorithm for the rooftop PV system of the urban railway Nhon - Hanoi Station by Tran Hung Cuong, An Thi Hoai Thu Anh

“…The process of evaluating the effectiveness of the proposed converter configuration and the algorithm is performed on Matlab/Simulink software, and the output parameters of the conversion process are compared with a conventional Boost DC-DC converter based on published analyses.…”
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An In Vitro Approach to Prime or Boost Human Antigen-Specific CD8⁺ T Cell Responses: Applications to Vaccine Studies by Hoang Oanh Nguyen, Mariela P. Cabral-Piccin, Victor Appay, Laura Papagno

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Integrated commercial and low-fishmeal fermented feed boosts survival and modulates intestinal microbiota in pacific white shrimp (Litopenaeus vannamei) by Yanbo Cheng, Lanfen Fan, Yifei Liu, Kuiying Su, Guohuan Xu

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Computational intelligence modeling and optimization of small molecule API solubility in supercritical solvent for production of drug nanoparticles by Jiaxin Liang, Hai Zhao, Shengxue Zhou, Yang Gao

“…Carbon dioxide was considered as the supercritical solvent in this study and the effect of pressure and temperature on the drug solubility was evaluated using the developed AI-based models. The aim here is to model and analyze the solubility of Clobetasol Propionate (CP) based on two key parameters: temperature and pressure. …”
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Prediction of Rheological Parameters of Polymers by Machine Learning Methods by T. N. Kondratieva, A. S. Chepurnenko

“…Machine learning methods open up great opportunities in predicting the rheological parameters of polymers. Previously, studies were conducted on the construction of predictive models using artificial neural networks and the CatBoost algorithm. …”
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Design of a novel robust adaptive fractional-order model predictive controller for boost converter using grey wolf optimization algorithm by Chao Peng, Seyyed Morteza Ghamari, Hasan Mollaee, Omid Rezaei

“…The proposed FO-MPC is validated through simulations and experimental evaluations using an Arduino DUE-based setup. Comparative studies against PID and FO-PID controllers, also optimized with GWO, confirm the superior performance, stability, and adaptability of the FO-MPC, making it a practical and effective solution for high-performance Boost converter applications.…”
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Robust extreme gradient boosting model for predicting the behavior of RC slabs under impact loading: key influencing factors and performance insights by Ammar Babiker

“… Abstract This study presents an advanced approach to analyzing the impact behavior of reinforced concrete (RC) slabs, utilizing an optimized extreme gradient boosting (XGB) machine learning algorithm. Supported by a comprehensive dataset of 143 records drawn from diverse sources, the methodology effectively pinpoints and evaluates critical parameters affecting the model's predictions. …”
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Phytohormone abscisic acid boosts pentobarbital-induced sleep through activation of GABA-A, PPARβ and PPARγ receptor signaling by Mohammad MADADZADEH, Mehdi ABBASNEJAD, Mahtab MOLLASHAHI, Ali Mohammad POURRAHIMI, Saeed ESMAEILI-MAHANI

“…Results: ABA at 5 µg significantly boosted the pentobarbital-induced subhypnotic effects and promoted induction of sleep onset in a manner comparable to diazepam treatment. …”
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