A novel graph modeling method for GNN-based hypersonic aircraft flow field reconstruction by Qiao Li, Xingchen Li, Xiaoqian Chen, Wen Yao

“…These sparse graphs are then integrated with learnable weights optimized by automatic differentiation. Our method has been tested on an open-source turbulence dataset, the two components of graph pruning and weight optimization bring about 34% and 10% improvements on average. …”
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An intelligent framework for sarcasm detection in Arabic tweets using deep learning with Al-Biruni earth radius optimization algorithm by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Wafa Sulaiman Almukadi, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

“…The experimental results of the AIDSD-ODL method are examined under the Arabic tweets dataset. …”
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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…Machine learning-based regression models were employed to optimize product quality. The open-source "3D Printer Material Requirement" dataset obtained from the Kaggle platform was utilized to predict product quality. …”
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The native Iranian soil bacteria with high potential to produce extracellular methionine gamma-lyase by Matin Nasirian, Mohsen Mobini-Dehkordi, Pegah Khosravian

“…In conclusion, this study presents a promising new methods for identifying potential L-methioninase producers and optimizing the culture medium for more enzyme production by microbial fermentation. …”
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Geospatial Spatiotemporal Analysis of Tourism Facility Attractiveness and Tourism Vitality in Historic Districts: A Case Study of Suzhou Old City by Mi Zhou, Jianqiang Yang

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Optimization growth performance and intestinal characteristics of broiler through the use of zeolite and bioherbal-based mycotoxin binders as feed additives. by Ibrahim Ibrahim, Muhammad Halim Natsir, Osfar Sjofjan, Irfan Hadji Djunaidi, Agus Susilo, Muhaimin Rifa'i, Hafsah Hafsah

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On a Method for Calculating Bending and Shear Vibrations of a Porous Piezoelement in the Low-Frequency Region by A. N. Soloviev, V. A. Chebanenko, P. A. Oganesyan, E. I. Fomenko

“…The design of PEG is associated with the preliminary construction of their mathematical and computer models, with the help of which the calculation and optimization of structures is carried out. One of the ways to model and calculate PEG is to develop approximate calculation methods based on applied theories. …”
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Lantern-Explorer: A Collision-Avoidance Autonomous Exploration Drone System Based on Laser SLAM with Optimized Hardware and Software by L. Zhu, L. Zhu, R. Zhong, R. Zhong, D. Xie, D. Xie, X. Yuan, X. Yuan

“…The relevant software and hardware resources will be open-sourced at <code>https://github.com/R7AY/Dream-Lantern</code> to promote further research in the field.…”
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Big data classification method of non relational distributed submission information under differentiated requirements by Lu HAN, Weiyu CHEN, Fei ZHANG, Jianfeng HE, Huaizhen SU

“…The classification method of non-relational distributed submitted information big data under the differentiated demand was studied, aiming at the problem of multi-source heterogeneous, widely distributed submitted information with more differentiated application requirements and inability to distinguish the available information.Firstly, the usability, openness and expansibility of the non-relational distributed submission information database were analyzed.The unstructured database storage TRIP was used to store non-relational distributed submission information by combining the basic requirements of field types.Then, the hashing process within the Hamming hash family was analyzed.Under the constraint of linearity level requirements, cellular automata with multiple attractors were used to optimize the system.The optimal parameters of the multiple attractor cellular automata classifier were improved through genetic algorithm, thus improving the big data classification method.Experimental results show that this method can effectively identify and classify structured data and unstructured data in non relational distributed submission information, and has high classification accuracy.…”
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Method Validation and Determination of Ametryn Pesticide in Water Samples by QuEChERS-GC-MS by Luis Felipe Lima Guimarães, Maria Zillene Franklin da Silva, Ronaldo Ferreira do Nascimento, Daniel Barbosa Alcântara

“…This study advances pesticide detection methods, addressing key factors like selectivity, linearity, and matrix effects, while providing insights into degradation byproduct detection and pesticide contamination in water sources.…”
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Comparative Analysis of Generative Artificial Intelligence Systems in Solving Clinical Pharmacy Problems: Mixed Methods Study by Lulu Li, Pengqiang Du, Xiaojing Huang, Hongwei Zhao, Ming Ni, Meng Yan, Aifeng Wang

“…ObjectiveThis study aims to quantitatively evaluate and compare the performance of 8 mainstream generative AI systems across 4 core clinical pharmacy scenarios—medication consultation, medication education, prescription review, and case analysis with pharmaceutical care—using a multidimensional framework. MethodsForty-eight clinically validated questions were selected via stratified sampling from real-world sources (eg, hospital consultations, clinical case banks, and national pharmacist training databases). …”
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Targets Spatial Coordinates Calculation in Angle-Difference Rangefinder Passive Location Complexes by Numerical Iterative Methods by A. A. Dmitrenko, S. Y. Sedyshev

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Machine learning of automatic hierarchical multi-label classification method for identifying metal failure mechanisms by Ruitong Han, Chang-Bo Liu, Wanting Sun, Shuai Yu, Haoran Zheng, Lin Deng

“…Abstract In this study, a hierarchical multi-label classification method called HFFNet-2d is proposed for the automatic classification of scanning electron microscope (SEM) images of metal failure. …”
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Root Cause Analysis of Oil Losses in Press Machines Using Fault Tree Analysis Method by Nismah Panjaitan, Juni Arta Lubis, Niken Kristin Silitonga, Muhammad Zaky Faris

“…One option that the business could use is the fault tree analysis (FTA) method, which offers a methodical way to pinpoint the root causes of production inefficiencies to solve this problem. …”
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Development of a new method for preparing white flour dough using apple and pumpkin powder by O. V. Perfilova

“…The aim of the research was development of a method for preparing dough from wheat white flour using corn oil and 5% apple and pumpkin powders from marc of the production of direct pressing juice, which are sources of water-soluble antioxidants. …”
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Research on Screening Method of Loess Slope Stability Evaluation Indexes Based on Validity and Reliability Coefficient by Jianlong Liao, Hongjun Sun, Jianchao An

“…The results showed that the 10 core indicators, including Cohesion, Internal Friction Angle, Maximum Monthly Rainfall, Rock Mass Structure, and Anthropogenic Engineering Activities, had a significant influence on loess slope stability, and the screening process effectively reduced the subjective bias and information redundancy. The method provides a data-driven theoretical framework for eolian slope risk assessment, which can improve the accuracy of landslide warning and the reliability of engineering protection design, and the engineering applicability of the model can be further optimized by combining the dynamic environmental parameters and multi-source monitoring data.…”
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A Distributed Low-Degree-of-Freedom Aerial Target Localization Method Based on Hybrid Measurements by Xiaoshuang Jiao, Jinming Chen, Lifeng Jiang, Weiping Li, Xiaochao Yang, Weiwei Wang, Jun Zhang

“…Finally, using inter-node measurements, a pseudo-linear system of equations is constructed to complete the three-node aerial target localization. The method uses satellites as radiation sources to transmit signals, with unmanned aerial vehicles (UAVs) acting as receiving station nodes to capture the signals. …”
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Methods for the Construction and Editing of an Efficient Control Network for the Photogrammetric Processing of Massive Planetary Remote Sensing Images by Xin Ma, Chun Liu, Xun Geng, Sifen Wang, Tao Li, Jin Wang, Pengying Liu, Jiujiang Zhang, Qiudong Wang, Yuying Wang, Yinhui Wang, Zhen Peng

“…Due to a lack of targeted algorithm optimization, existing software tools and methods are unable to meet the photogrammetric processing requirements of massive planetary remote sensing images. …”
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Actor&#x2013;Critic Reinforcement Learning for Throughput-Optimized Power Allocation in Energy Harvesting NOMA Relay-Assisted Networks by Faeik T. Al Rabee, Ala'Eddin Masadeh, Sharief Abdel-Razeq, Haythem Bany Salameh

“…Traditional optimization methods face challenges due to uncertainties in channel gains, EH, and blockages. …”
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A new bioslurry-induced restoration method via biomineralization for fragmented ceramic cultural relics by Yang Yang, Han Zhang, Liang Cheng, Lin Ye, Yuanjian Liu, Jinquan Shi, Jianwei Zhang, Yang Xiao, Hanlong Liu

“…This study presents a new restoration method for fragmented ceramic cultural relics using bioslurry-induced biocementation via a microbially induced calcium carbonate precipitation (MICP) process. …”
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