Monte Carlo Simulation and Experimental Validation for Radiation Protection with Multiple Complex Source Terms and Deep Penetration for a Radioactive Liquid Waste Cementation Facil... by Wenqian Li, Xuegang Liu, Sheng Fang, Xueliang Fu, Kaiqiang Guo

“…From both of the Monte Carlo simulation and the experimental measurement, it can be drawn that, in the horizontal direction, with the increase of the drum number, the dose rate increases very little, while in the vertical direction, the increase of the dose rate is very obvious with the increase of the drum number. The complicated source term sampling methods, the optimization algorithm and variance reduction techniques, and the experimental verification can provide valuable references for the similar scattering problem in radiation protection and shielding design.…”
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Statistics and behavior of clinically significant extra-pulmonary vein atrial fibrillation sources: machine-learning-enhanced electrographic flow mapping in persistent atrial fibri... by Peter Ruppersberg, Steven Castellano, Philip Haeusser, Kostiantyn Ahapov, Melissa H. Kong, Stefan G. Spitzer, Stefan G. Spitzer, Georg Nölker, Andreas Rillig, Tamas Szili-Torok

“…We included 399 retrospective patients in total: 199 for training and optimizing 24 model hyperparameters, and 200 for subsequent analyses of source prevalence and characteristics. …”
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Research on Control Strategy of Two Dimensional Output Force Vibration Damping Electric Actuator by Zhenyang Hao, Tao Wang, Xin Cao, Xue Li, Qiyao Zhang

“…The controller parameters are designed by state space method and the method of characteristic value of the feedback matrix to ensure the stability of the control system. …”
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Leveraging the process mining technique to optimize data preparation time in a database used as an automated data delivery center by Seyed Hossein Abrehdari

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An enhanced multi-objective reactive power dispatch for hybrid Wind-Solar power system using Archimedes optimization algorithm by Prisma Megantoro, Syahirah Abd Halim, Nor Azwan Mohamed Kamari, Lilik Jamilatul Awalin, Ramizi Mohamed, Hazwani Mohd Rosli

“…Optimal reactive power dispatch (ORPD) is essential for addressing power system challenges related to distributed generation (DG), particularly from renewable energy (RE) sources such as wind and solar. …”
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Exploring Applications of Lagrange’s Equations in Technology: A Systematic Literature Review by Fitria Siska Damayanti, RA Sania Noviana, Yora Inda Lestari, Hamdi Akhsan, Ismet Ismet

“…In this research, a literature study was conducted using the Systemic Literature Review (SLR) method from 30 data sources, 24 of which were indexed by Scopus. …”
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An Extrinsic Calibration Method for LiDAR and Camera Based on Feature Matching by CHEN Meilin, JIANG Guotao, PI Zhichao, HE Qian, TAN Bin, LUO Shuo, YANG Hailang

“…Accurate and stable extrinsic parameter calibrations offer the basis of effective multi-source information fusion. In order to improve the robustness of the perception system, this paper proposes an extrinsic calibration method for LiDAR and cameras based on feature matching. …”
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Photochemical synthesis of CdS semiconductor by gas condensate as sulfur source, and evaluation of its photocatalytic property in the degradation of methylene blue dye as a case st... by Amir Azizi, Kaveh Khosravi, Pouria Alaei Roozbahani, Zohreh Farahani

“…This study presents a novel photochemical method for synthesizing CdS and highlights the potential application of its in environmental remediation. …”
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Considering the supply and demand of urban heat island mitigation: A study on the construction of “Source-flow-sink” cooling corridor network of blue and green landscape by Shengyu Guan, Xinyu Zhang, Ting Zhang, Haihui Hu

“…From the perspective of network construction, the shortcomings and challenges existing in Shenyang’s cooling network, such as the lack that included the coverage of “working” corridors and spatial inequality, which can be addressed by interconnecting more “source” centers with “sink” centers to optimize cooling capabilities. …”
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Multi-layer Embedded Optimization of Microgrid Capacity Considering Price and Incentive/Compensation Coupling Mechanism by Xianhui ZHU, Xu HU, Nan SHI, Yao ZHANG, Jingwen ZHONG

“…This study proposes a collaborative optimization idea of source and load sides by combining multiple response mechanisms to fully tap the ability of two-way interaction between supply and demand sides to stabilize the difference between source and load in the microgrid. …”
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Research on Multi-Machine Pre-Synchronization Control and Optimization Based on Parallel Recovery Black Start by Zhongping Ruan, Shuye Ding, Yizhi Chen

“…Simulation results show that the proposed method suppresses frequency overshoot and system disturbances during a multi-source black start, significantly enhancing microgrid restoration capability and operational stability.…”
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Different Spatial Configurations of LED Light Sources Enhance Growth in Tomato Seedlings by Influencing Photosynthesis, CO₂ Assimilation, and Endogenous Hormones by Xiting Yang, Shuya Wang, Wenkai Liu, Shuchao Huang, Yandong Xie, Xin Meng, Zhaozhuang Li, Ning Jin, Li Jin, Jian Lyu, Jihua Yu

“…Sub-optimal light environments in controlled agricultural settings often limit the productivity of plants. …”
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BRDF Correction in Landsat Directional Reflectance Data by Combining Optimal BRDF Archetype With Spectral Characteristics by Aojie Shen, Jie Shao, Xin Qi, Zhongzheng Zhu, Yujie Dai, Qi Zeng

“…In this study, we developed the Combining Optimal BRDF Archetype with Spectral Characteristics (COBASC) method to effectively reduce BRDF effects in Landsat directional reflectance data. …”
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The concentration of single-stranded DNA-binding proteins is a critical factor in recombinase polymerase amplification (RPA), as revealed by insights from an open-source system by Francisco Cordoba-Andrade, Antolin Peralta-Castro, Paola L. García-Medel, Eduardo Castro-Torres, Rogelio Gonzalez-Gonzalez, Atzimba Y. Castro-Lara, Josue D. Mora Garduño, Claudia D. Raygoza, Noe Baruch-Torres, Alejandro Peñafiel-Ayala, Corina Diaz-Quezada, Cesar S. Cardona-Felix, Fernando Guzman Chavez, Carlos H. Trasviña-Arenas, Rogerio R. Sotelo-Mundo, Beatriz Xoconostle-Cazares, Agustino Martínez-Antonio, Luis Gabriel Brieba de Castro

“…In this study, we introduce an open-source alternative to commercial RPA kits, utilizing purified, heterologously expressed proteins to circumvent the fixed molar ratios of proprietary systems. …”
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Prospects of Improving the Vibroacoustic Method for Locating Buried Non-Metallic Pipelines by Vladimir Pshenin, Alexander Sleptsov, Leonid Dukhnevich

“…However, due to limited energy input into the pipeline, signal detection at significant distances from the source becomes challenging. This article considers the mechanism of acoustic oscillations attenuation in pipes and suggests possible directions for optimization of the investigated technology. …”
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Dissolved Oxygen Prediction Based on SOA-SVM and SOA-BP Models by ZHANG Xuekun

“…To improve the accuracy of dissolved oxygen prediction,this paper researches and proposes a prediction method that combines seagull optimization algorithm (SOA) with support vector machine (SVM) and BP neural network,prepares four prediction schemes based on the monthly dissolved oxygen monitoring data of the Jinghong Power Station in Xishuangbanna,a national important water supply source in Yunnan Province,from January 2009 to September 2020,optimizes the key parameters of SVM and weight threshold of BP neural network by SOA to construct SOA-SVM and SOA-BP models,predicts the dissolved oxygen of Jinghong Power Station based on the models,and compares the prediction results with those of SVM and BP models.The results show that:The absolute values of the average relative errors of the SOA-SVM and SOA-BP models for the 4 schemes of dissolved oxygen prediction are between 4.07%~4.98% and 3.85%~4.83%,and that of the average absolute errors are 0.309~0.374 mg/L and 0.294~0.371 mg/L,respectively.With better prediction accuracy than SVM and BP models,they have good prediction accuracy and generalization ability.SOA can effectively optimize the key parameters of SVM and weight threshold of BP neural network.SOA-SVM and SOA-BP models are feasible for dissolved oxygen prediction,which can provide references for related prediction research.…”
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Benchmark dataset and deep learning method for global tropical cyclone forecasting by Cheng Huang, Pan Mu, Jinglin Zhang, Sixian Chan, Shiqi Zhang, Hanting Yan, Shengyong Chen, Cong Bai

“…Comprehensive evaluations demonstrate that TCN M outperforms both existing deep learning methods and official meteorological forecasts across multiple metrics. …”
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Brain tumor detection through image fusion using whale optimization and edge preserving filter by Bhattiprolu Nagasirisha, Venkatesh Munagala, Ramakrishna Reddy Eamani, Mocherla Venkata Srikanth, Asileti Suneel Kumar, Varre Venkata Kanaka Durga Prasad

“…While the detail layers are fused based on maximum energy assessed using the Krisch compass operator, the base layers are fused based on the whale optimization method,  for which the objective function is maximization of entropy, edge strength and pixel intensity. …”
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A critical review on purification methods and applications of marine algal haloperoxidases by Abdellatif Rahim, Rania Benjamaa, Abdel Khalid Essamadi, Abdelbasset Chafik

“…Marine algae are a rich and underexplored source of haloperoxidases, enzymes with wide ranging applications in biocatalysis, pharmaceuticals, and environmental bioremediation due to their ability to catalyze the halogenation of organic compounds. …”
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Heat Storage Decoupling Method Based on Coordinated Load Scheduling Model by Yi LEI, Mingzhen LIU, Kaimin LIN

“…The controllable heat storage electric boilers are used in this paper as peak regulation and dispatch resources, in order to reduce the forced output of CHP and get a lower load peak and a higher load valley when it's hard to regulate the peak load, and to increase the wind power accommodation capacity of power grid in winter, and to form a load-dispatching model featuring source-load coordination. The power-heat coupling characteristics of CHP units are firstly studied; and then a heat-power decoupling scheme is formulated for wind power-heat storage compensation, and a multi-objective load-dispatching model is built with the objective of minimizing both the operation cost and pollutant emission of the power system; finally, the corrected multi-objective particle swarm optimization algorithm is used to solve the model, and the diversity of the Pareto set is maintained by using niche method. …”
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