Engineering BiOBr/TpBD-COF S-scheme heterointerface via phase transformation strategy for boosted photocatalytic hydrogen generation by Huili Ran, Xue Liu, Jiajie Fan, Yun Yang, Lijie Zhang, Qin Guo, Bicheng Zhu, Quanlong Xu

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Boosting resource use efficiency, soil fertility, food security, ecosystem services, and climate resilience with legume intercropping: a review by K. Akchaya, P. Parasuraman, Kannan Pandian, S. Vijayakumar, K. Thirukumaran, Mohamed Roshan Abu Firnass Mustaffa, Sudhir Kumar Rajpoot, Anil K. Choudhary

“…The practice bolsters crop resilience through ecological processes like bio-littering, bio-ploughing, bio-irrigation, and bio-pumping (the “4Bs”), which are valuable for adapting to climate variability. …”
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Modulating CoP nanowire arrays via ZnO-coating-boosted Ni doping for high-performance hybrid supercapacitors by Shuting Jia, Yangyang Luo, Yuanjie Yi, Huaming Qian, Zhengkui Li, Chunran Wang, Yuhui Xu, Gaini Zhang, Huijuan Yang, Guiqiang Cao, Jingjing Wang, Wenbin Li, Xifei Li

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A new scheme for boosting in situ Fenton-like reaction in plant pathogenic tissues for selective structural degradation of capsid proteins by Jun Ma, Ming Chen, Yujie Wang, Jiaying Li, Jian Tang, Shengjun Wu, Chi He, J. Paul Chen

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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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Comparative Analysis of Machine Learning Methods with Chaotic AdaBoost and Logistic Mapping for Real-Time Sensor Fusion in Autonomous Vehicles: Enhancing Speed and Acceleration Pre... by Mehmet Bilban, Onur İnan

“…We introduce Chaotic AdaBoost (CAB), an advanced variant of AdaBoost that integrates a logistic chaotic map into its weight update process, overcoming the limitations of deterministic ensemble methods. …”
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Agile Gamification Risk Management Process: A Comprehensive Process for Identifying and Assessing Gamification Risks by Fayrouz M. Elsalmy, Nada H. Sherief, Walid M. Abdel Moez, Hany H. Ammar

“…This paper details a two-phased empirical study to evaluate our proposed AGRM process. The proposed process identified 17 and mitigated 9 gamification risks for two agile teams in two software development enterprises. …”
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Boosting all-optical wavelength conversion efficiency using an AlGaAs-on-insulator Fabry–Perot microresonator without data rate limits by Chaochao Ye, Ping Zhao, Yang Liu, Xinda Lu, Chanju Kim, Kresten Yvind, Peter A. Andrekson, Minhao Pu

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Boosting CO2 capture efficiency of the exhausted RFCC flue gas by using intercooler exchangers: Leveraging ANN in MDEA-based approach by S. Masoud Hosseini, Roja P. Moghadam, Ali Afshar Ebrahimi

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Series/Parallel Boost/Buck DC/DC Converter as a Visible Light Communication HB-LED Driver Based on Split Power by Daniel G. Aller, Diego G. Lamar, Juan R. Garcia-Mere, Marta M. Hernando, Juan Rodriguez, Javier Sebastian

“…The first is a high-frequency buck DC/DC converter and the second is a low-frequency boost DC/DC converter, connected in series with respect to the LED load and connected in parallel at the input, forming a series/parallel boost/buck DC/DC converter. …”
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Machine learning-based evaluation of performance of silicon nitride waveguide fabrication: Gradient-boosted forests for predicting propagation and bend excess losses by Hinum-Wagner Jakob Wilhelm, Hoermann Samuel Marko, Feigl Gandolf, Schmidt Christoph, Kraft Jochen, Bergmann Alexander

“…The aim was to optimize fabrication processes using machine learning, particularly gradient-boosted forests, to achieve low-loss photonic integrated circuits (PICs) and accurately predict the losses. …”
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Leveraging Tumor Microenvironment to Boost Synergistic Photodynamic Therapy, Ferroptosis Anti‐Tumor Efficiency Based on a Functional Iridium(III) Complex by Yu Pei, Yinzhen Pan, Zhijun Zhang, Jun Zhu, Yan Sun, Qian Zhang, Dongxia Zhu, Guangzhe Li, Martin R. Bryce, Dong Wang, Ben Zhong Tang

“…The development of a functional agent allowing full use of the TME to boost synergistic PDT and ferroptosis anti‐tumor efficiency is an appealing yet significantly challenging task. …”
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Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer by Osama Elnahas, Waleed M. Ead, Yushan Qiu, Jian Lu

“…We propose an ensemble machine learning-based pre-trained annotation framework that integrates gradient boosting and genetic optimization for robust feature selection. …”
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Desain Panduan Audit Tata Kelola Sistem Informasi Boost The Order (SIBORDER) di PT Telekomunikasi Indonesia Menggunakan COBIT 2019 by Kezia Nadia Putri Martinus, Evi Maria, Hanna Prillysca Chernovita

“…Information technology (IT) plays an important role in PT Telkom's business processes, so it needs to be managed using the Control Objectives for Business and Related Technology (COBIT) framework. …”
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More than a chatbot: a practical framework to harness artificial intelligence across key components to boost digital therapeutics quality by Amit Baumel

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Post Constraint and Correction: A Plug-and-Play Module for Boosting the Performance of Deep Learning Based Weather Multivariate Time Series Forecasting by Zhengrui Wang, Zhongwen Luo, Zirui Yang, Yuanyuan Liu

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Synergistic boosting the electrooxidation of biomass-based 5-hydroxymethylfurfural on cellulose-derived Co3O4/N-doped carbon catalysts by Haixin Sun, Yingying Gao, Mengyuan Chen, Ming Li, Qinqin Xia, Yongzhuang Liu, Juan Meng, Shuo Dou, Haipeng Yu

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NIR-II photo-accelerated polymer nanoparticles boost tumor immunotherapy via PD-L1 silencing and immunogenic cell death by Tian Zhang, Dongsheng Tang, Pengfei Wu, Shaoping Jiang, Yuquan Zhang, Abid Naeem, Yong Li, Chunhui Li, Bo Hu, Shuai Guo, Caixia Sun, Haihua Xiao, Ran Yan, Yuhua Weng, Yuanyu Huang

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Prediction of Total Soluble Solids in Apricot Using Adaptive Boosting Ensemble Model Combined with NIR and High-Frequency UVE-Selected Variables by Feng Gao, Yage Xing, Jialong Li, Lin Guo, Yiye Sun, Wen Shi, Leiming Yuan

“…This study develops an advanced framework integrating adaptive boosting (Adaboost) ensemble learning with high-frequency spectral variables selected by uninformative variable elimination (UVE) for the rapid non-destructive detection of fruit quality. …”
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Feature-Driven EnsembleX: An Advanced Ensemble Framework for Enhanced MRI Abdomen Image Classification Using Feature Refinement and Boosting Techniques by Snehal V. Laddha, Rohini S. Ochawar

“…The classification is powered by an ensemble learning approach, incorporating boosting to improve weak learners and enhance model accuracy iteratively. …”
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