Key structure and bearing characteristics of 10 m super large mining height support by Huijun HAN, Yajun LEI, Jinhu ZHANG, Cundi HAN, Mingsheng ZENG

“…The force balance area of the two column shield support is mainly concentrated in the column part, the change in the position of the hinge point between the upright post and the crown beam has a significant impact on the force - balance area, and the influence of changes in the balance jack parameters on the force balance area is limited; analyzed the coal wall protection performance of different types of protective structures, and clarified that the double-layer telescopic beam+three-level cooperative protective structure has obvious advantages in terms of protection strength and protection area; by analyzing the equivalent stiffness of the support in the increased resistance state, a dynamic-load mechanical analysis model of the hydraulic support was established, and the response process of the support under dynamic load in the "given deformation" working state was studied. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…Also, the proposed model's training process is more stable, and the entire curve converges faster, which can achieve higher accuracy with fewer training batches. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…Also, the proposed model's training process is more stable, and the entire curve converges faster, which can achieve higher accuracy with fewer training batches. …”
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The Near-Surface Vertical Variability of Aerosol Single-Scattering Properties over Warsaw: Case Study by Michał T. Chiliński, M. Broda, K. Nurowska, K. M. Markowicz

“…Conclusion Overall, this research demonstrates the effectiveness of using low-cost sensors to measure vertical profiles of aerosol optical properties in urban environments, offering valuable insights into aerosol behaviour and atmospheric conditions that can complement Lidar observations (in overlap region) and enhance aerosol transport models. The findings emphasize the significant role of temperature inversion in shaping aerosol vertical variability and highlight the potential of this methodology for improving our understanding of aerosol processes in the surface layer. …”
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Investigating olive pomace activated carbon for degrading organic dyes in water by Deye Qu, Yali Yu, Mengchen Zhu, Chunni Lei, Bo Wang, Xinchao Wang, Xiaoping Zhou

“…The removal efficiency of dyes under better conditions is CV > MB > RHB > Mo > BL > Mg > Cr. The adsorption process of olive pomace activated carbon for seven dyes is more in line with Langmuir isothermal adsorption model, and the correlation coefficients are all greater than 0.98, indicating that the adsorption process of seven dyes is of single layer adsorption; The adsorption kinetics is more in line with the quasi-second-order kinetic model, and chemical adsorption is dominant in the adsorption process, with correlation coefficients greater than 0.97. …”
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Finite Element Analysis on Stress Development in Alveolar Bone During Insertion of a Novel Dental Implant Design by Ning Zhang, Matthias Karl, Frank Wendler

“…The novel implant achieved the maximum magnitude of reaction moment and cortical bone strain values when the implant’s maximum core diameter passed the cortical bone layer at around 60% of the insertion process. Following a notable decrease, both the reaction moment and stress started to rise again as the implant penetrated further. …”
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Task reliability evaluation method for autonomous intelligent system based on multi-agent approach by Cheng YANG, Hongxiao LIU, Ying WANG, Jingli YANG

“…MethodsBy constructing a reliability simulation framework based on a double-layer network structure, the separation expression and coupling correlation of the autonomous intelligent system's information propagation process and fault propagation process are realized. …”
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IMPLEMENTATION OF THE BIDIRECTIONAL GATED RECURRENT UNIT ALGORITHM ON CONSUMER PRICE INDEX DATA IN INDONESIA by Andjani Ayu Cahaya Tanjung, Dewi Retno Sari Saputro, Nughthoh Arfawi Kurdhi

“…This study aims to apply Birectional Gated Recurrent Unit (BiGRU) model to the CPI data in Indonesia. BiGRU comprises two GRU layers so it captures sequences that are ignored by the GRU. …”
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Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill by Bo Qin, Luyang Zhang, Heng Yin, Yan Qin

“…From the above analysis, the energy index and the singular value matrix are used for fault classification modeling based on the enhanced extreme learning machine (ELM), which is optimized by the bat algorithm to adjust the input weights and threshold of hidden layer node. …”
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Theoretical explanation and regulation method for the edge effect in the sintered joints of metal nanoparticles by Guannan Yang, Zebo Li, Zhihao Zhang, Junyi Lu, Yu Zhang, Guanghan Huang, Tianshuo Zhao, Chengqiang Cui

“…With this understanding, a geometrically constrained sintering process is further proposed to mitigate the edge effect by using a pre-cured resin sealing layer around the chip edges to suppress the lateral flow of the metal nanoparticle slurry. …”
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Mechanism of Influence of Spatial Perception on Residents’ Emotion in Child-Friendly Urban Streets of Fuzhou City by Shaofeng CHEN, Zhengyan CHEN, Yuhan XU, Zheng DING

“…For FCN-RF Semantic Segmentation, street view images are processed by fully convolutional networks to quantify 10 spatial metrics, validated against human-scored safety perceptions via random forest-based adversarial training; for XGBoost-SHAP Interpretability Framework, the nonlinear relationships between 12 street environment indicators and emotional indices are modeled through extreme gradient boosting, with SHapley additive explanations (SHAP) decoding feature contributions and interaction effects. …”
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Weakening of subsurface ocean temperature seasonality over the past four decades by Fukai Liu, Yiyong Luo, Fengfei Song, Wen-Xiao Yu, Jian Lu, Lijing Cheng

“…Here we analyze multiple ocean temperature datasets, revealing a robust, substantial weakening of subsurface seasonality by 5.7 ± 1.8% below the mixed layer in extratropical oceans since the 1980s. Using a hierarchy of climate models and an idealized diffusive model, we attribute this weakening to increased ocean heat uptake driven by rising greenhouse gases. …”
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Effect of horizontal resolution in North Atlantic mixing and ocean circulation in the EC-Earth3P HighResMIP simulations by E. Martin-Martinez, E. Martin-Martinez, A. Frigola, E. Moreno-Chamarro, E. Moreno-Chamarro, D. Kuznetsova, S. Loosveldt-Tomas, M. Samsó Cabré, P.-A. Bretonnière, P. Ortega

“…<p>We investigate the impact of increasing horizontal model resolution on the oceanic mixing processes in the North Atlantic, their drivers, their link with the Atlantic Meridional Overturning Circulation (AMOC), and the propagation of newly generated dense waters through the deep western boundary current (DWBC). …”
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Transfer Learning-Based Accurate Detection of Shrub Crown Boundaries Using UAS Imagery by Jiawei Li, Huihui Zhang, David Barnard

“…However, fine-tuning the pre-trained models by unfreezing additional layers improved segmentation accuracy by around 30%. …”
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Neural networking-based approach for examining heat transfer and bioconvection in Non-Newtonian fluid with chemical reaction over a stretching sheet by Sohaib Abdal, Talal Taha, Liaqat Ali, Rana Muhammad Zulqarnain, Se-Jin Yook

“…These results contribute to the optimization of fluid flow in nanobiotechnology, chemical engineering, and heat transfer processes, underlining the potential of bioconvection and AI-based modeling for future development.…”
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Drying Apple Slices in a Rotating-Tray Convective Dryer: A Study on Dehydration Characteristics and Qualitative Attributes by Hamid Ghasemkhani, Farhad Khoshnam, Mohamad Reza Kamandar

“…In comparison with the thin layer models, artificial networks showed better performance in modeling the curves. …”
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Electrodiffusion dynamics in the cardiomyocyte dyad at nano-scale resolution using the Poisson-Nernst-Planck (PNP) equations. by Karoline Horgmo Jæ Ger, Aslak Tveito

“…Here, we present a nano-scale computational model, representing dyad dynamics using the PNP system. …”
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A Deep Learning Algorithm for Multi-Source Data Fusion to Predict Effluent Quality of Wastewater Treatment Plant by Shitao Zhang, Jiafei Cao, Yang Gao, Fangfang Sun, Yong Yang

“…To address this challenge, constructing accurate effluent quality models for WWTPs can not only mitigate these complexities, but also provide critical decision support for operational management. …”
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Vertical Accelerations and Convection Initiation in an Extreme Precipitation Event in the Western Arid Areas of Southern Xinjiang by Na Li, Lingkun Ran, Daoyong Yang, Baofeng Jiao, Cha Yang, Wenhao Hu, Qilong Sun, Peng Tang

“…By analyzing the right-hand terms of the vertical velocity equation in the framework of the WRF model, together with a diagnosed relation of perturbation pressure to perturbation potential temperature, perturbation-specific volume (or density), and moisture, the physical processes associated with the corresponding accelerations are revealed. …”
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APPLICATION OF EXTREME LEARNING MACHINE METHOD ON STOCK CLOSING PRICE FORECASTING PT ANEKA TAMBANG (PERSERO) TBK by Rita Apriliyanti, Neva Satyahadewi, Wirda Andani

“…The ELM method is applied by dividing training data for ELM modeling and testing data used in the forecasting process. …”
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