Risk Prediction of Coal and Gas Outburst Based on Abnormal Gas Concentration in Blasting Driving Face by Liming Qiu, Yujie Peng, Dazhao Song

“…There are strong correlations between the growth rate, peak value, and decay rate of gas concentration after blasting and K1 value, and the maximum correlation coefficient is 0.92. Using the prediction model, 28 times of jet holes and 1 small outburst event are predicted successfully, and the efficiency of the prediction model is 76.39%. …”
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Deep learning approaches for estimating maximum wall deflection in excavations with inconsistent clay stratigraphy by Vinh V. Le, HongGiang Nguyen, Nguyen Huu Ngu

“…Statistical methods, such as pair plots and Pearson correlation, highlighted excavation depth (correlation coefficient = 0.82) as the most significant factor. …”
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Prediction of Pollutant Emissions from a Low-Speed Marine Engine Based on Harris Hawks Optimization and Lightgbm by Yue Chen, Yulong Shen, Miaomiao Wen, Cunfeng Wei, Junjie Liang, Yuanqiang Li, Ying Sun

“…The results show that changes in engine control parameters have significant influences on NOx and soot emissions from the engine, which can serve as the basis for the selection of the LGB model features; the LGB model was able to accurately predict pollutant concentrations from the engine with much higher accuracy than a single decision tree (DT) model; combining with HHO, the predictive ability of the LGB model was significantly improved, such as for the validation set prediction results, the mean absolute error (MAE) was reduced by about 20%, the mean squared error (MSE) was reduced by about 30%, and the coefficient of determination (R²) was increased by about 0.005; and the importance analysis of the model features indicated that the combustion condition of the fuel was highly correlated with the generation of the pollutants, and the fuel injection phases can be adjusted in practice to achieve highly efficient and low-emission processes of combustion. …”
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Cultivating Eco-Literate Writers: Exploring the Intersection of Environmental Awareness and Text-Based Writing Skills by Romi Isnanda, Syahrul Ramadhan, Yenny Hayati

“…The t-test further demonstrated that environmental concern is the factor that has the most significant influence on students' writing ability, with a regression coefficient (b2) of 1.793. …”
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Condition-Based Health Monitoring of Electrical Machines Using DWT and LDA Classifier by Faraz Ahmed Shaikh, Muhammad Zuhaib Kamboh, Bilal Ahmad Alvi, Sheroz Khan, Farhat Muhammad Khan

“…This study provides an analysis of three motor faults of Phase imbalance, Rotor misalignment, and High contact resistance (HCR). DWT has the ability to categorize the input signals into approximate coefficient state for low frequency signals and detailed coefficient state for high frequency signals. …”
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Unsupervised feature correlation-based spatial stratification for local context-aware modelling by Jinyu Meng, Zengchuan Dong, Yongze Song

“…The results demonstrate that UFCSS-LC significantly enhances modeling accuracy compared to both single learning models and traditional spatial context-aware models in terms of the decision coefficient and root mean square error. The findings demonstrate the UFCSS-LC’s ability in capturing regional characteristics, constructing locally adaptive models, and balancing model complexity with prediction accuracy. …”
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Heterogeneous wireless sensor network routing protocol based on simulated annealing algorithm and modified grey wolf optimizer by Xiaoqiang ZHAO, Shaoya REN, Yongzhi ZHAI, Heng QUAN, Ting YANG

“…It’s one of the main goals of the heterogeneous wireless sensor network (HWSN) to extend the network lifecycle by reasonably utilizing the heterogeneity of node energy.Therefore, according to the heterogeneity of node energy, a routing protocol (SA-MGWO) for HWSN based on simulated annealing (SA) algorithm and modified grey wolf optimizer (GWO) was proposed.Firstly, the appropriate initial clusters were selected by dening different tness functions for heterogeneous energy nodes.Secondly, The tness values of nodes were calculated and treated as initial weights in the GWO.At the same time, the weights were updated dynamically according to the distance between the wolves and their prey and coefficient vectors to improve the GWO’s optimization ability.Finally, simulated annealing algorithm was used to ensure the selection of optimal cluster set in heterogeneous networks.Compared with stable election protocol (SEP), distribute energy efficient clustering (DEEC), modified stable election protocol (M-SEP), and fitness value based improved grey wolf optimizer (FIGWO) protocols, the experimental results indicate that the network lifecycle of the SA-MGWO protocol improves by 53.1%, 31.9%, 46.5% and 27.0% respectively.…”
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Optimized removal of trivalent arsenic from aquatic environments using Prosopis juliflora seed biomass by M. Samimi, J. Nouri

“…The analysis of experimental data revealed the coefficient of determination, adjusted coefficient, and predicted coefficient values to be 0.9936, 0.9820, and 0.9053, respectively. …”
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Identifying important nodes affecting network security in complex networks by Yongshan Liu, Jianjun Wang, Haitao He, Guoyan Huang, Weibo Shi

“…An algorithm ranks the importance of nodes based on the above two indices and the nodes’ local propagation ability. The influence of nodes on network security and their own propagation ability are analyzed by experiments through the evaluation indices of network efficiency, network maximum connectivity coefficient, and Kendall coefficient. …”
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Construction and evaluation of recombinant Lactobacillus plantarum expressing Micropterus salmoides hepcidin by Cheng-long Zhang, Guangtao Chen, Xiang Shan Ji, Jian Teng, Zhi Lei Yao, Chun Lei Hu, Yan Zhao

“…By introducing the ribosomal binding site (RBS) and secretory signal peptide sequence (SP-PGH), we constructed a novel vector capable of efficiently expressing M. salmoides hepcidin (MsHep) extracellularly. …”
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Homomorphic Evaluation Cluster Architecture for Fully Homomorphic Encryption by Hanyoung Lee, Ardianto Satriawan, Hanho Lee

“…However, the computational cost and memory bandwidth required for a rotation adds significant overhead and limits the ability to perform FHE operations. Therefore, an efficient implementation of rotation is crucial for high-performance FHE applications. …”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…The study concludes that the effective fusion of multi-scale features not only enhances the model’s prediction performance but also strengthens its generalization ability. This method provides an advanced risk management tool for power companies, helping to increase the operational efficiency of smart grids and encouraging further research toward greater intelligence in the field.…”
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Efektivitas Kelincahan dan Kecepatan dengan Kemampuan Menggirng Pada Permaian Sepak Bola by Awang Roni Effendi, Muhammad Suhairi, Heri Rustanto, Suramli Suramli4

“…There is a significant relationship between speed (X2) and the ability to dribble a soccer game (Y), the correlation coefficient is rx2y = 0.435. …”
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Exploration of Energy-Saving Chilling Landscape Design Based on Algo for Group Intelligence by Zhuo Li

“…Therefore, the use of algo for group intelligences to build an energy-efficient society is a necessary path for China’s development, and the construction of energy-efficient gardens is an important part of building an energy-efficient society, and the application of energy-efficient concepts to modern landscape design is an inevitable trend in the development of urban landscaping.…”
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Extracting road maps from high-resolution satellite imagery using refined DSE-LinkNet by Prativa Das, Satish Chand

“…We use a pre-trained encoder by combining the layers of the two very efficient and light-weight CNN models: DenseNet and SE-Net that makes the proposed model more expressive with faster convergence. …”
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Towards a Retrieval-Augmented Generation Framework for Originality Evaluation in Projects-Based Learning Classrooms by Samuel Yanes Luis, Daniel Gutiérrez Reina, Sergio Toral Marín

“…This framework provides an objective and efficient tool to support originality assessment, benefiting both instructors and students by promoting genuine innovation in PBL settings.…”
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Simultaneously improved dipolar interaction at inorganic-inorganic and organic-inorganic interfaces for multimode energy harvesting from heterostructured CoFe2O4@BCZT loaded P(VDF-... by Abhishek Sasmal, Payel Maiti, J. Arout Chelvane, A. Arockiarajan

“…The magnetostriction of CF, in this case, stimulates both the P(VDF-TrFE) and highly piezoelectric BCZT dipoles at inorganic-organic and inorganic-inorganic interfaces, respectively, thereby achieving ME coupling coefficient as high as 96 mV·cm−1·Oe−1. The optimized device shows excellent DC and AC magnetic field sensitivity and associated magnetic field energy harvesting ability. …”
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Analysis and assessment of the validity dough "theory of functions of the complex variable" by Lidiya A. Muratova

“…For quality check of dough on the distinguishing ability two numerical characteristics for each task are found: dot biserial coefficient and coefficient of a diskriminativnost’. …”
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Experimental study on chloride transport of blast-furnace slag blended concrete with crystalline admixture under seawater wet dry cycle by Peng He, Lingwei Liu, Jianying Yu

“…Moreover, CA could improve chloride binding ability of 100 % OPC and 50 % BFS concrete, reduce the chloride diffusion coefficient. …”
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A 250 °C Low-Power, Low-Temperature-Drift Offset Chopper-Stabilized Operational Amplifier with an SC Notch Filter for High-Temperature Applications by Zhong Yang, Jiaqi Li, Jiangduo Fu, Jiayin Song, Qingsong Cai, Shushan Qiao

“…This paper proposes a three-stage op amp based on the SOI (silicon-on-insulator) process, which achieves a low offset voltage and temperature coefficient across a wide temperature range from −40 °C to 250 °C. …”
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