The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

“…Furthermore, gravel-bed rivers have features that distinguish them from sand-bed rivers and caused problems and challenges in their analysis. Considering the influential parameters to predict bed load transport rate in 20 gravel-bed rivers, in this study, the accuracy of support vector machine was investigated in different intervals of hydraulic and sediment parameters. …”
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Micropropagation and acclimatization of yellow gentian (Gentiana lutea L.) by Anita ŽELEZNIK, Dea BARIČEVIČ, Dominik VODNIK

“…The main objective of the present work was to find the optimal way of multiplicating yellow gentian (Gentiana lutea L.). …”
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Furniture design based on image color extraction algorithm by Binglu Chen, Guanyu Chen, Qianqian Hu

“…With the increasing demand for personalized and customized home products, how to realize the innovative design of furniture and improve the design efficiency has become a research hotspot for related professionals. Aiming at these problems, the study extracts the main color of furniture images by optimizing the K-mean clustering algorithm, uses the simulated annealing algorithm to color-match the furniture, and reconstructs the image by edge detection to design a furniture design method based on image color extraction. …”
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Electric Submersible Pump Fault Diagnosis Based on Laplacian Eigenmaps and Weighted Extreme Learning Machine by XU Zekun, FU Jun, GAO Xiaoyong, ZHANG Yu, LI Qiang, TAN Chaodong

“…In response to the serious imbalance in the data collected by ESP, firstly, a fault diagnosis model is established using a weighted extreme learning machine; Then, to solve the problems of insufficient algorithm learning, high computational costs caused by weighted strategies, and poor performance in applying to high-dimensional feature spaces, the Laplacian eigenmaps method is introduced to further optimize the model; finally, the effectiveness of the proposed method was validated on the TE chemical process dataset, and the practicality of the algorithm was experimentally validated on the real-time fault dataset of electric submersible pump. …”
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Predicament and suggestions of the export trade development of China's wine by ZHENG Guofu, ZHU Nian

“…It is found that China's wine export trade had some problems such as small overall scale, lack of stability in development, relatively low ranking in the world wine export trade, insufficient expansion of the international market, unreasonable distribution of regional structure, high average export price and weak international competitiveness. …”
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Performance evaluation of GPT-4o on South Korean national exams for building mechanical equipment maintenance by Haneul Choi, Jehyun Lee, Jonghun Kim

“…The model performed well on both non-calculation and calculation problems and demonstrated high consistency, with an average response consistency of 97%. …”
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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

“…Objectives: In the face of the complex and changing network security environment, how to fight against Advanced Persistent Threat (APT) attacks has become an urgent problem for the entire security community. The massive APT attack analysis reports and threat intelligence generated by security companies have significant research value. …”
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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

“…Objectives: In the face of the complex and changing network security environment, how to fight against Advanced Persistent Threat (APT) attacks has become an urgent problem for the entire security community. The massive APT attack analysis reports and threat intelligence generated by security companies have significant research value. …”
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Characterization of novel phage pK3–24 targeting multidrug-resistant Klebsiella pneumoniae and its therapeutic efficacy in Galleria mellonella larvae by Junxia Feng, Xiaohu Cui, Bing Du, Jinfeng Chen, Guanhua Xue, Lin Gan, Yanling Feng, Zheng Fan, Yuehua Ke, Jinghua Cui, Tongtong Fu, Hanqing Zhao, Chao Yan, Ziying Xu, Yang Yang, Zihui Yu, Lijuan Huang, Shuo Zhao, Ziyan Tian, Zanbo Ding, Yujie Chen, Zhoufei Li, Jing Yuan

“…Phage pK3–24 is a T7-like short-tailed phage with a fast adsorption capacity that forms translucent plaques with halos on bacterial lawns. The optimal multiplicity of infection (MOI) is 0.01, and the average burst size is 50 PFU/mL. …”
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A Moving Object Detection Method Based on Conditional Information and Feature Deepening by Hongrui Zhang, Luxia Yang

“…First, a multiframe averaging method is designed to derive a clean background model, which serves as a conditional input to guide network optimization with accurate scene information. …”
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Security decision method for the edge of multi-layer satellite network based on reinforcement learning by Peiliang ZUO, Shaolong HOU, Chao GUO, Hua JIANG, Wenbo WANG

“…Specifically, the edge center node obtains the environmental state of the satellite network through the perception system, and on this basis, uses the ability of deep reinforcement learning algorithm to learn independently, and obtains the optimal data offloading strategy in the scene by fitting, and obtains the optimal link planning., so that the onboard resources can be fully utilized, so as to achieve the goal of minimizing the average return delay of many observation tasks.First,the edge center node observes the environment and obtains state elements such as the data volume, channel conditions, and edge node processing capability of the observation satellite mission in the environment. …”
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Integration of the brain jogging program in physical education on the cognitive abilities of elementary school students by Encep Sudirjo, Anggi Setia Lengkana, Dinar Dinangsit, Muhammad Nur Alif, Dede Nurodin, Juhanis Juhanis, Serhii Kozin

“…Developing children's cognitive since childhood is very important for parents so that children can develop optimally. There are many benefits if children have good cognitive abilities or skills, such as reasoning and solving problems they face better. …”
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Agent-Based Adaptive Dynamic Round Robin (AADRR) Scheduling Algorithm by Zafar Iqbal Khan, Muzafar Khan, Syed Nasir Mehmood Shah

“…AADRR efficiently reduces average turnaround times and average waiting times for each workload and performs better in response time. …”
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Integration of interior design strategies and computer-aided design technology guided by morphogenetic theory by Jie Zhang, Zhongxian Ren

“…In response to the problems of low efficiency and insufficient intelligence in traditional interior design, this study integrates deep learning-based interior design strategies with computer-aided design technology under the guidance of morphogenesis theory. …”
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A Theoretical Analysis Method of Spatial Analytic Geometry and Mathematics under Digital Twins by Kaiqi Wang

“…But there are also some problems: the teaching quality of online education is unsatisfactory; students’ online learning effects are frustrating, and students’ autonomous learning ability is poor. …”
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Real time counting method for coal mine drill pipes based on deep learning by Fukai ZHANG, Yiran SUN, Xufeng WU, Aijun LI, Peiyang LI, Dengke WANG, Guan YUAN, Shan ZHAO, Haiyan ZHANG

“…Experiments on the CMDPC dataset show that the improved Drill-YOLOv8 model performs well in mAP@0.5 The mAP @ [0.5:0.95] index has increased by 3.0% and 2.7% respectively, effectively solving the problem of false detection and missed detection of drilling head and drill pipe targets under strong light, water vapor, and occlusion environments, and the detection speed has reached 86 frames per second; At the same time, the weighted average error rate of the counting inference algorithm Pipe Count is 2%, showing good robustness against multi scene data, and the processing speed reaches 40 frames per second, meeting real-time counting requirements.…”
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The Effect of Foliar Application of Zinc and Iron at Different Developmental Phases on the Quantitative and Qualitative Characteristics of Two Cultivars of Dryland Wheat (Triticum... by Sh Ajam, A Biabani, R Mohammadi, A Rahemi Karizaki, H Ghorbani Vaghei

“…Also, the effect of variety x time of foliar spraying also had an effect on the yield and the best yield was observed in Paya cultivar with foliar spraying at the stemming stage with an average yield of 729 kg ha-1. This agricultural method can be used as a short-term solution to reduce nutritional problems caused by the lack of these elements and improve food security indicators.AcknowledgmentThe cooperation of the Honorable Research Assistant of the Faculty of Agriculture of Gonbadkavos University in order to secure the credit of the project and the Honorable Head of the Gonbadkavos Agricultural Research Station for providing the grain s of the studied cultivars and the necessary cooperation are sincerely appreciated.…”
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Osteoporosis risk prediction in patients with type 2 diabetes mellitus and non-alcoholic fatty liver disease by Yu. A. Titova, K. V. Misiura, N. O. Kravchun

“…Danilevsky Institute for Endocrine Pathology Problems of the National Academy of Medical Sciences of Ukraine” in 51 patients, whose average age was 63.2 ± 0.99 years with the average duration of type 2 DM 7.84 ± 0.68 years. …”
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Combined Prediction Method of Short-Term Distance Headway Based on EB-GRA-TCN by Chun Wang, Weihua Zhang, Cong Wu, Heng Hu, Wenjia Zhu

“…Compared with the autoregressive integrated moving average (ARIMA), TCN, RNN, and long short-term memory (LSTM) models, the EB-GRA-TCN model achieved the best prediction accuracy. …”
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An ensemble approach using multidimensional convolutional neural networks in wavelet domain for schizophrenia classification from sMRI data by Tamilarasi Sarveswaran, Vijayarajan Rajangam

“…The multidimensional CNN architectures achieve an average accuracy of 93.2%, 95.8%, and 98.0%, respectively, while the proposed model achieves an average accuracy of 98.9%.…”
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