Response to: Comment on “Does the Equivalence between Gravitational Mass and Energy Survive for a Composite Quantum Body?” by A. G. Lebed

“…A spacecraft moves protons of a macroscopic ensemble of hydrogen atoms with constant velocity in the Earth’s gravitational field. …”
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Making Dementia Matter Through Sound by Marjolein Gysels, Chris Tonelli, Thomas Johannsen

“… This paper investigates the working practices of the Genetic Choir and the “Stem&Luister” project, in which the ensemble uses voice, sound and improvisation to explore and develop ways of connecting with people with dementia, thereby seeking to improve the experience of care. …”
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Optimal Control Harmony: Navigating Deterministic and Stochastic Realms with a Two-Strain Model Using Pontryagin’s Maximum Principle. by Kayanja, Andrew, Abola, Benard, Kikawa, Cliff R., Oyo, Benedict, Ssematima, Amos

“…An algorithm for simulating the ensemble average optimal control solution is introduced and it realism is compared to both stochastic and deterministic solutions. …”
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Integrated AutoML-based framework for optimizing shale gas production: A case study of the Fuling shale gas field by Tianrui Ye, Jin Meng, Yitian Xiao, Yaqiu Lu, Aiwei Zheng, Bang Liang

“…The test accuracy of the ensemble ML model reached 83 % compared to a maximum of 72 % of single ML models. …”
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Research of Fault Diagnosis Based on Sensitive Intrinsic Mode Function Selection of EEMD and Adaptive Stochastic Resonance by Zhixing Li, Boqiang Shi

“…A novel methodology for the fault diagnosis of rolling bearing in strong background noise, based on sensitive intrinsic mode functions (IMFs) selection of ensemble empirical mode decomposition (EEMD) and adaptive stochastic resonance, is proposed. …”
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Improving the Accuracy of Rainfall Prediction Using Bias-Corrected NMME Outputs: A Case Study of Surabaya City, Indonesia by Defi Y. Faidah, Heri Kuswanto, Sutikno Sutikno

“…Numerous efforts have been conducted to generate reliable prediction such as through ensemble forecasts, the North Multi-Model Ensemble (NMME). …”
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Computer Aided Diagnostic System for Blood Cells in Smear Images Using Texture Features and Supervised Machine Learning by Shakhawan Hares Wady

“…The investigational consequences demonstrate that the developed feature fusion strategy surpassed previous existing techniques, with an overall accuracy of 97.49 ± 1.02% utilizing Ensemble classifier. …”
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Analysis of Vehicle Platform Vibration Based on Empirical Mode Decomposition by Chengwu Shen, Zhiqian Wang, Chang Liu, Qinwen Li, Jianrong Li, Shaojin Liu

“…However, empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) reveal that there is obvious mode mixing phenomenon in the collected VPV signals. …”
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Thermalization and non-monotonic entanglement growth in an exactly solvable model by Shruti Paranjape, Nilakash Sorokhaibam

“…The system in the CC state thermalizes to a Gibb’s ensemble. We derive closed-form analytic expressions for the growth of entanglement entropy of subsystems consisting of arbitrary number of disjoint intervals in CC state. …”
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Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin by Ren Xu, Nengcheng Chen, Yumin Chen, Zeqiang Chen

“…The results show the following: (1) The performance of the BMA ensemble simulation is clearly better than that of the individual models and the simple mean model ensemble (MME). …”
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Postprocessing of Accidental Scenarios by Semi-Supervised Self-Organizing Maps by Francesco Di Maio, Roberta Rossetti, Enrico Zio

“…To address this issue, in this paper we propose the use of an ensemble of Semi-Supervised Self-Organizing Maps (SSSOMs) whose outcomes are combined by a locally weighted aggregation according to two strategies: a locally weighted aggregation and a decision tree based aggregation. …”
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Multivariate CNN-LSTM Model for Multiple Parallel Financial Time-Series Prediction by Harya Widiputra, Adele Mailangkay, Elliana Gautama

“…The effectiveness of the evolved ensemble model during the COVID-19 pandemic was tested using regular stock market indices from four Asian stock markets: Shanghai, Japan, Singapore, and Indonesia. …”
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Information seeking behaviour in music conductors’ repertoire selection by Christina Firkins, Michael Barrett-Berg, Ina Fourie

“…They focus on scoring, ensemble composition, acquisition methods (i.e., acquiring the music). …”
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Volcanically forced Madden–Julian oscillation triggers the immediate onset of El Niño by Hyemi Kim, Seung-Ki Min, Daehyun Kim, Daniele Visioni

“…In this study, using large ensemble simulations that allow us to isolate the impacts of volcanic forcing on the El Niño response, we demonstrate a mechanism that highlights the central triggering role of the Madden–Julian oscillation (MJO), which has been overlooked in existing literature. …”
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Asymptotic solution for turbulent variances: application to convergence of averages and particle dispersion by Gervásio Annes Degrazia, Michel Stefanello, Felipe Denardin Costa, Luís Gustavo Nogueira Martins, Otávio Costa Acevedo

“…The results show that the difference between the temporal and ensemble means is of the order of 5% for an average time window of 1800 s. …”
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Model Evaluation and Uncertainty Analysis of PM2.5 Components over Pearl River Delta Region Using Monte Carlo Simulations by Qian Wu, Xiao Tang, Lei Kong, Zirui Liu, Duohong Chen, Miaomiao Lu, Huangjian Wu, Jin Shen, Lin Wu, Xiaole Pan, Jie Li, Jiang Zhu, Zifa Wang

“…Then, surface observations of these species collected from 10 sites across the region for 1 year were used to evaluate the performance of the ensemble simulations. The high correlation coefficients (> 0.74) and low mean biases (< 2 µg m−3) between the mean values of the ensemble and the observation data suggested that the model fairly accurately reproduced spatial and temporal variations in the nitrate, ammonium, OC and BC. …”
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Construction and Optimization of Integrated Yield Prediction Model Based on Phenotypic Characteristics of Rice Grown in Small–Scale Plantations by Jihong Sun, Peng Tian, Zhaowen Li, Xinrui Wang, Haokai Zhang, Jiangquan Chen, Ye Qian

“…Subsequently, the top three models with the best performance in individual model predictions are integrated using voting and stacking ensemble methods to obtain the optimal integrated model. …”
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Computer-Aided Design of an Epitope-Based Vaccine against Epstein-Barr Virus by Julio Alonso-Padilla, Esther M. Lafuente, Pedro A. Reche

“…We discuss the rationale for the formulation and possible deployment of this epitope vaccine ensemble.…”
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A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction by Jini Mol G., Ajith Bosco Raj T.

“…An ensemble classification method for modelling cardiac temporal data is presented in this research. …”
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A Hybrid Prognostic Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries by Wen-An Yang, Maohua Xiao, Wei Zhou, Yu Guo, Wenhe Liao

“…In this hybrid prognostic approach, the relevant vectors obtained with the selective kernel ensemble-based relevance vector machine (RVM) learning algorithm are fitted to the physical degradation model, which is then extrapolated to failure threshold for estimating the RUL of the lithium-ion battery of interest. …”
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