Secondary System Fault Detection Method Based on Association Rules and Reconstruction Error by Yang WANG, Weidong MA, Jiming LIU, Boshi WANG, Kai YAO, Wei HAN, Juan YU

“…However, existing research faces two challenges: on the one hand, the existing fault detection methods for logic circuits have high requirements for data completeness and are difficult to apply in practice; on the other hand, the existing fault detection methods for secondary equipment are difficult to identify the small differences between normal and fault data, and the computational accuracy is difficult to guarantee. …”
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An industrially applicable processing method for reducing AGEs in bread based on RSM design by Guanhua Jiang, Haili Yu, Liangkai Chen, Yan Zhang, Liegang Liu

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Air-side Thermal-hydraulic Analysis and Parametric Optimization for Vertical-fin Microchannel Heat Exchanger by Zhao Rijing, Wei Xinghua, Huang Dong, Li Feng, Zhao Yongfeng

“…Finally, parametric optimization was conducted using the Taguchi method. …”
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Intelligent identification method of origin for Alismatis Rhizoma based on image and machine learning by Wenqi Zhao, Zongyi Zhao, Wen Zheng, Zimin Wang, Gaoting Yang, Zhiqiong Lan, Xiaoli Pan, Min Li

“…Therefore, there is a need for a method that is both fast and objective to determine the source of AR. …”
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Cellpose as a reliable method for single-cell segmentation of autofluorescence microscopy images by Jeremiah M. Riendeau, Amani A. Gillette, Emmanuel Contreras Guzman, Mario Costa Cruz, Aleksander Kralovec, Shirsa Udgata, Alexa Schmitz, Dustin A. Deming, Beth A. Cimini, Melissa C. Skala

“…Abstract Autofluorescence microscopy uses intrinsic sources of molecular contrast to provide cellular-level information without extrinsic labels. …”
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Establishing Functional Model of Photometric Performance of Trichromatic Light Sources in Chromaticity Diagrams by Qi Yao, Wanlu Zhang, Lu Zhang, Yu Bian

“…The functional models quantify all the photometric characteristics in the gamut area and can predict the performances for different synthesis of trichromatic light sources. Using the proposed model, it is possible to evaluate the present performance of trichromatic light sources and provide a method for optimization. …”
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HPLC-MS/MS method development and validation for the determination of tetradecapeptide in human plasma by M. A. Tokareva, E. S. Melnikov, M. V. Belova, E. N. Fisher, T. A. Rodina, I. E. Shohin

“…Peptide derivatization can help achieve optimal chromatographic separation and increase method sensitivity.Aim. …”
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Establishment and Application of MCRV Detection Method for Larvae of Mud Crab, Scylla paramamosain by Xiyu JIN, Shouhu LI, Yue WU, Xu CHU, Wei WANG, Wenhong FANG, Xincang LI

“…Therefore, in this study, we selected the highly expressed VP11 of MCRV as the target gene, designed specific primers and TaqMan-MGB probes, and established a qRT-PCR detection method suitable for MCRV in mud crab larvae by optimizing the reaction system and procedure, using standard plasmid and RNA as the templates. …”
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A Model Predictive Control to Improve Grid Resilience by Joseph Young, David G. Wilson, Wayne Weaver, Rush D. Robinett

“…To accomplish this, the following article includes a description of a reduced order model (ROM) of an electric power grid based on a circuit model, an optimization formulation that describes the MPC, a collocation method for solving linear time-dependent differential algebraic equations (DAEs) that result from the ROM, and an overall strategy for iteratively refining the behavior of the MPC. …”
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Efficient recovery of phosphorus from phosphogypsum leachate based on struvite precipitation by MA Jingfeng, WU Xiang, FANG Haoyuan, MEI Ke, JIANG Shan, ZHU Shujing*

“…In this study, a struvite precipitation method was proposed to recover phosphorus sources from phosphogypsum and its leachate to prepare valuable percolate-based struvite crystal (PSL-S). …”
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Performance Prediction and Analysis of Solar-Assisted Ground-Source Heat Pump Systems in Typical Rural Areas, China by Ying Cao, Zhibin Zhang, Guosheng Jia, Jianyu Zhai, Jianke Hao, Meng Zhang, Liwen Jin

“…The solar-assisted ground-source heat pump (SAGSHP) system is a novel heating system that effectively combines the advantages of both solar and geothermal energy. …”
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Source Tracing of Raw Material Components in Wood Vinegar Distillation Process Based on Machine Learning and Aspen Simulation by Siqi Liao, Wanting Sun, Haoran Zheng, Qiyang Xu

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Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion by Long Qin

“…The cross entropy loss and Matthews correlation coefficient confirm the reliability of this method for sentiment orientation recognition in multi-source data. …”
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Metal-polymer platinum nanocomposites for electrochemical conversion of hydrogen fuels in chemical power sources by M. V. Lebedeva, N. A. Yashtulov, N. E. Minina, B. A. Belyaev

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A novel CFD-MILP-ANN approach for optimizing sensor placement, number, and source localization in large-scale gas dispersion from unknown locations by Yiming Lang, Michelle Xin Yi Ng, Kai Xiang Yu, Binghui Chen, Peng Chee Tan, Khang Wei Tan, Weng Hoong Lam, Parthiban Siwayanan, Kek Seong Kim, Thomas Shean Yaw Choong, Joon Yoon Ten, Zhen Hong Ban

“…The source localization model was again realized by the ANN model with optimized sensors data. …”
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Investigation of Ionic Conductivity of Electrolytes for Anode-Free Lithium-Ion Batteries by Impedance Spectroscopy by Azhar Abdrakhmanova, Alfira Sabitova, Binur Mussabayeva, Bulbul Bayakhmetova, Zhanna Sharipkhan, Elmira Yermoldina

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Optimal Solar‐Biomass‐Diesel‐Generator Hybrid Energy for Water Pumping System Considering Demand Response by Olumuyiwa Taiwo Amusan, Nnamdi Ikechi Nwulu, Saheed Lekan Gbadamosi

“…Hence, the optimal sizing of a hybrid mix of RES and non‐RES energy sources to power water pumping is essential. …”
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Comparison of methods for the quantification of cell-free DNA isolated from cell culture supernatant by Abel Jacobus Bronkhorst, Vida Ungerer, Stefan Holdenrieder

“…Although these are interesting findings, it can also be a great source of experimental confusion and emphasizes the importance of method optimization and standardization. …”
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Performance analysis of advanced deep learning technics: Application to solar energy forecasting and management in several cities in Chad by Osée Mounkang, Claude Vidal Aloyem Kaze, Nzoko Tayo Dieudonné, Ghislain Junior Bangoup Ntegmi, Duclair Paul Edouard Pountounynyi, Hervice Roméo Fogno Fotso, Armel Zambou Kenfack, Germaine Kenmoe Djuidje, René Tchinda

“…To achieve this, eight deep learning algorithms were used to optimize energy management. This study proposes a hybrid artificial intelligence model that combines LLM and LSTM methods, utilizing the Adam optimization algorithm to make hourly solar radiation predictions over a seven-day period. …”
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Construction of Knowledge Graph for Marine Diesel Engine Faults Based on Deep Learning Methods by Xiaohe Tian, Huibing Gan, Yanlin Liu

“…In this paper, we propose a BiLSTM-CRF-based knowledge graph construction method for ship diesel engine faults, aiming at integrating multi-source heterogeneous data through deep learning and knowledge graph technology, and mining the deep semantic associations among fault phenomena, causes, and solutions. …”
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