SPOTting Model Parameters Using a Ready-Made Python Package. by Tobias Houska, Philipp Kraft, Alejandro Chamorro-Chavez, Lutz Breuer

“…We developed SPOTPY (Statistical Parameter Optimization Tool), an open source python package containing a comprehensive set of methods typically used to calibrate, analyze and optimize parameters for a wide range of ecological models. …”
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Advances in the catalytic conversion of CO2 by Gu Xiyang

“…The catalytic conversion of carbon dioxide (CO2) offers significant potential for reducing greenhouse gas emissions and producing valuable chemicals, driven by advancements in sustainable technology and environmental regulations. Current catalytic methods for CO2 conversion primarily include photocatalytic, thermocatalytic, and electrocatalytic processes, each using distinct energy sources—light, heat, and electricity. …”
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The Use of General Inverse Problem Platform (GRIPP) as a Robust Backtracking Solution by Nikolas Gomes Silveira de Souza, Jader Lugon, Alexandre Macedo Fernandes, Ramiro Joaquim de Jesus Neves, Antônio José da Silva Neto

“…The use of GRIPP can bypass eventual numerical errors in cases of long-term pollution source identification when compared to traditional methods. …”
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Stochastic Demand-Side Management for Residential Off-Grid PV Systems Considering Battery, Fuel Cell, and PEM Electrolyzer Degradation by Mohamed A. Hendy, Mohamed A. Nayel, Mohamed Abdelrahem

“…The uncertainty in demand forecasting is addressed through a scenario-based generation to enhance the robustness and accuracy of the proposed method. Then, stochastic optimization was employed to determine the optimal operating schedules for deferable appliances and optimal water heater (WH) settings. …”
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Analysis of the Structure of Nonlinear Distortions at Baseband Pulse Impacts Using Behavioral Nonlinear Models of Electrical Circuits by E. V. Semyonov

“…This, as a result, complicates the optimization of devices.Aim. To develop an approach capable of determining the contribution of various sources to the nonlinear distortion of baseband pulse signals.Materials and methods. …”
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Efficient Calculation and Component Analysis of Fault Current in MMC-HVDC Grid by Lixu Chen, Jun Yan, Xiufang Jia, Chengyong Zhao, Jianzhong Xu

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Precision in Tear Fluid Biomarker Discovery: Quantitative Proteomic Profiling of Small-Volume, Individual Samples Using Capillary Tube Collection by Kyla Frenia, Yunxiang Fu, Maria A. Beatty, Kathleen C. Garwood, Jeremy Kimmel, Veena Raiji, Dipanjan Pan, David Bartlett, Leanne T. Labriola, Kunhong Xiao

“…Schirmer strips remain the most common collection method due to existing LC-MS/MS protocol optimization. …”
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Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment by Yalan Xu, Yu Qian, Kongming Guo

“…The region truncation-based optimization method is employed to simplify the computational process in stochastic model updating. …”
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Multi-time Scale Adaptive Reactive Voltage Control for Distribution Networks Based on Voltage Tendency Coefficient by Ziran JIN, Hongbin WU, Yiyao ZHOU, Bin XU, Jinjin DING, Wei WEI

“…With a high proportion of distributed photovoltaic connected to the distribution network, the mismatch between source and load may lead to voltage overlimit. Based on the deviation and fluctuation of the voltage, the voltage tendency coefficient (VTC) for evaluating different operation scenarios of the distribution network is defined and an multi-time scale adaptive reactive voltage control method is proposed in this paper. …”
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Statistics on Differences in the Institutional Composition of the National Economy and Issues Related to its Harmonization by O. V. Morozov, A. G. Biryukov, M. A. Vasiliev

“…The methodological basis of the research is formed by works on modular theory of society, public sector economy, and structural harmony of systems. Tabular methods of visualization of research results and statistical methods of source data processing were used. …”
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images by M. Eliazer, Sibi Amaran, K. Sreekumar, A. Vikram, Gyanendra Prasad Joshi, Woong Cho

“…Finally, the enhanced coati optimization algorithm (ECOA) method is implemented for the hyperparameter tuning of the KELM method, which results in a higher classification process. …”
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Fungal Biomass Fermentation: Valorizing the Food Industry’s Waste by Simas Borkertas, Jonas Viskelis, Pranas Viskelis, Paulina Streimikyte, Ugne Gasiunaite, Dalia Urbonaviciene

“…The optimization of SSF processes, compatibility with various substrates, and potential for producing diverse value-added products make SSF a promising method for sustainable resource utilization and enhanced product development. …”
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Risk Analysis Under Uncertainty, Subjectivity, and Incomplete Knowledge: With a Use Case of Energy System Failures by Ali Aghazadeh Ardebili, Mahdad Pourmadadkar, Elio Padoano

“…Key components such as the combustion chamber, fuel nozzle, and turbine rotor were consistently identified as high‐risk across methods, emphasizing their criticality for maintenance and design optimization. …”
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Adaptive Control of VSG Inertia Damping Based on MADDPG by Demu Zhang, Jing Zhang, Yu He, Tao Shen, Xingyan Liu

“…Therefore, this paper proposes a VSG inertia and damping adaptive control method based on multi-agent deep deterministic policy gradient (MADDPG). …”
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Hydrochemical Characteristics and Formation Mechanism of Strontium-Rich Groundwater in Shijiazhuang, North China Plain by Duo Li, Shuang Gan, Junfeng Li, Zihan Dong, Qi Long, Shuwei Qiu, Yahong Zhou, Changyu Lu

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Rapid and greener vortex-assisted deep eutectic solvent-based dispersive liquid-liquid microextraction for spectroscopic determination of Hg in fuels by Mxolisi J. Kiwanuka, Philiswa N. Nomngongo, Nomvano Mketo

“…The optimized method was validated using NIST SRM 2778 with certified mercury concentration of 38.98 µg/kg ± 1.10 µg/kg. …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

“…After integrating decomposition, use of entropy, algorithm optimization, and error correction models, eleven comparative experiments were established to evaluate the effectiveness of each optimization method. …”
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Developing a Drowsiness Detection System for Safe Driving Using YOLOv9 by Fernando Candra Yulianto, Wiwit Agus Triyanto, Syafiul Muzid

“…Several drowsiness detection systems built using the eye aspect ratio (EAR), percentage of eyelid closure (PERCLOS), and convolutional neural network (CNN) methods still have limitations in terms of accuracy and response time. …”
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Measurement-converted Kalman filter tracking with Gaussian intensity attenuation signal in wireless sensor networks by Sha Wen, Liqiang Xing, Xiaoqing Hu, Hui Zhang

“…This approach adopts a measurement conversion method to remove the measurement nonlinearity by the maximum likelihood estimator, and a linear estimate of the target position and its associated noise statistics obtained by the Newton–Raphson iterative optimization steps are applied into the standard Kalman filter. …”
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Domain Adversarial Transfer Learning Bearing Fault Diagnosis Model Incorporating Structural Adjustment Modules by Zhidan Zhong, Hao Xie, Zhenxin Wang, Zhihui Zhang

“…Traditional bearing fault diagnosis methods are ineffective in diagnosing complex faults and mostly rely on the manual adjustment of hyperparameters. …”
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