Inter-Satellite Handover Method Based Multi-Objective Optimization in Satellite-Terrestrial Integrated Network by Renpeng LIU, Bo HU, Hequn LI

“…The high-speed motion of low-earth orbit communication satellites results in a highly dynamic network topology, and the spatio-temporal distribution of resources in the satellite-terrestrial integrated network is non-uniform.When multiple users and services switch between satellites, a large number of handover requests are triggered, leading to intensified network resource competition.As a result, the limited satellite resources cannot meet all the handover requests, leading to a significant decrease in handover success rate.In view of the above problem, the multi-objective optimization based satellite handover method was proposed.It introduced the satellite coverage spatio-temporal graph and transforms the dynamic continuous topology into static discrete snapshots, accurately depicted the connections between satellite nodes and users at different times and locations.The multi-objective optimization model was established for satellite handover decisions, and anadaptive accelerated multi-objective evolutionary algorithm(AAMOEA) was proposed to optimized user data rate and network load simultaneously, ensured handover success rate and enhanced network service capability.It built a STIN communication simulation environment and tested the multi user handover performance in a multi satellite overlapping coverage scenario.The results demonstrated that the multi-objective optimization-based satellite handover method achieved an average handover success rate improvement of over 20% compared to benchmark algorithms.…”
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A Quick Identification Method of AC andDC Power Supply Systems for Electric Locomotive by ZOU Donghai, GAN Weiwei, GUO Wei, LIN Zhenjun, HUANG Hao, ZHOU Yang, CHEN Ke

“…This method constructs an AC grid voltage transformer and a voltage sensor into a topology that can collect grid voltage signals, and the identification algorithm can quickly identify the current power supply system according to the different signal characteristics of AC and DC power supply systems. …”
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Detection method of slight bruises of apples based on hyperspectral imaging and RELIEF-extreme learning machine by ZHANG Meng, LI Guanghui

“…The results showed that the recognition accuracy of ELM model for the test set based on the full wavebands was 94.44%, and the accuracy of the Re-ELM model based on the characteristic wavebands was 96.67%, and the accuracy of the Re-SVM and Re-K mean models for the characteristic wavebands were 92.22% and 91.67%, respectively, which demonstrated that the Re-ELM was a more effective method for the bruise apple classification. Subsequently, an apple damage detection algorithm based on the characteristic wavebands and image processing was proposed, which performed an independent component algorithm (ICA) transformation of the characteristic wavebands, and selected the third component image of the ICA transformation, and used adaptive threshold segmentation to obtain the bruise area on apples. …”
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AFSA-FastICA-CEEMD Rolling Bearing Fault Diagnosis Method Based on Acoustic Signals by Jin Yan, Fubing Zhou, Xu Zhu, Dapeng Zhang

“…Acoustic signal is a commonly used method in the field of mechanical fault diagnosis, but an overlapping phenomenon occurs very easily, which affects the diagnostic accuracy. …”
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The model of cultural turn in Iranian political sociology in the last two decades by Mahsa Puladi, Hossein Harsij, Amir Masoud Shahram Nia

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Comparative Analysis of Conventional and Focused Data Augmentation Methods in Rib Fracture Detection in CT Images by Mehmet Çağrı Göktekin, Evrim Gül, Feyza Aksu, Yeliz Gül, Metehan Özen, Yusuf Salik, Merve Kesim Önal, Engin Avci

“…While the traditional data augmentation method applies general transformations to the entire image, the focused data augmentation method performs specific transformations by targeting only the fracture regions. …”
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A Spoofing Speech Detection Method Combining Multi-Scale Features and Cross-Layer Information by Hongyan Yuan, Linjuan Zhang, Baoning Niu, Xianrong Zheng

“…Additionally, cross-adaptable weights (CAWs) are used to guide the model in focusing on task-relevant shallow information, thereby enabling the effective fusion of features from different layers of the pre-trained model. Experimental results show that the proposed method achieved an equal error rate (EER) of 0.36% and 4.29% on the ASVspoof2019 logical access (LA) and ASVspoof2021 LA datasets, respectively, demonstrating excellent detection performance and generalization ability.…”
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Impact of Feature-Selection in a Data-Driven Method for Flow Curve Identification of Sheet Metal by Quang Ninh Hoang, Hyungbum Park, Dang Giang Lai, Sy-Ngoc Nguyen, Quoc Tuan Pham, Van Duy Dinh

“…Results demonstrate the effectiveness of our proposed method, with Model C showing the highest efficacy.…”
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High-Accuracy Recognition Method for Diseased Chicken Feces Based on Image and Text Information Fusion by Duanli Yang, Zishang Tian, Jianzhong Xi, Hui Chen, Erdong Sun, Lianzeng Wang

“…Conventional visual-only methods face limitations due to environmental sensitivity and high visual similarity among feces from different diseases. …”
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Improved Method of Driving Safety Field Modeling by Considering the Abnormal Transfer of Energy Between Vehicles by Huilan Li, Xunjia Zheng, Xiangyang Xu

“…Compared to previous methods, the proposed DSF modeling method offers higher interpretability and more direct quantification of instantaneous risks. …”
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The New Method for Determining the Composition of Wood Gas Produced in Gas Generators of the Inverted Gasification Process by E. M. Kashin, V. N. Didenko

“…The modified balance method considers the primary processes of wood and moist air transformation into components of the generator gas in the first subzone of the redox zone. …”
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Lactate Profiling and the Agreement Among Various Lactate Threshold Methods in Professional and Youth Soccer Players by Marcos Michaelides, Koulla Parpa

“…This study examined blood LT during maximal cardiopulmonary exercise testing using four methods: visual inspection, log-to-log transformation, the Dmax method, and the 4 mmol/L fixed blood lactate accumulation (FBLA) method. …”
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A mini-review of innovative learning methods in medical education: insights from African countries by Najoua Ghani, Mohamed Taiebine, Moulay Hassan Farih, Chakib Nejjari

“…Thus this mini-review aims to investigate the use of learning approaches in medical education throughout various African nations. Methods The literature search for this review was conducted using keywords in different databases such as PubMed, ERIC and Google Scholar regarding learning methods in African medical education. …”
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A Complex Adaptive Systems Approach to Health Professions Education Transformation: The Case of the University of Missouri-Columbia School of Medicine and an Integrated Quality Imp... by Katherine Stevenson, Marcel D’Eon, Linda Headrick, Boel Andersson Gäre

“…OBJECTIVES In 2003, the University of Missouri-Columbia School of Medicine (MU SOM) initiated an integrated quality improvement-interprofessional collaborative practice (QI-ICP) curriculum as part of a larger curriculum renewal process. While exploring a different case study focused on the content of the curriculum, investigators became intrigued by MU SOM's approach to change, specifically, how complex adaptive systems (CAS) thinking may have supported sustained transformational change in curriculum across multiple health professions programs. …”
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Fuzzy multi-criteria decision-making method-based operational assessment of Chinese electricity markets by Weijie Wu, Dongwei Li, Hui Sun, Yixin Li, Yining Zhang

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SEE: A Method for Predicting the Dynamics of Chromatin Conformation Based on Single‐Cell Gene Expression by Minghong Li, Yurong Yang, Rucheng Wu, Haiyan Gong, Zan Yuan, Jixin Wang, Erping Long, Xiaotong Zhang, Yang Chen

“…Here, SEE is introduced, an artificial intelligence (AI) method that utilizes autoencoder and transformer techniques to analyze chromatin dynamics using single‐cell RNA sequencing data and a limited number of single‐cell Hi‐C maps. …”
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Development of a Predictive Model for N-Dealkylation of Amine Contaminants Based on Machine Learning Methods by Shiyang Cheng, Qihang Zhang, Hao Min, Wenhui Jiang, Jueting Liu, Chunsheng Liu, Zehua Wang

“…Specifically, the N-dealkylation of amines mediated by cytochrome P450 enzymes (P450) could influence their metabolic transformation safety. However, conventional experimental and computational chemistry methods make it difficult to conduct high-throughput screening of N-dealkylation of emerging amine contaminants. …”
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UCrack-DA: A Multi-Scale Unsupervised Domain Adaptation Method for Surface Crack Segmentation by Fei Deng, Shaohui Yang, Bin Wang, Xiujun Dong, Siyuan Tian

“…Additionally, by integrating a Mix-Transformer encoder, a multi-scale dilated attention module, and a mixed convolutional attention decoder, we effectively solve the challenges of cross-domain data distribution differences and complex scene crack segmentation. …”
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Straightness control method of hydraulic support group pushing system based on neural network compensation by Yunfei WANG, Jiyun ZHAO, He ZHANG, Hao WANG, Yang ZHANG

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TAL-SRX: an intelligent typing evaluation method for KASP primers based on multi-model fusion by Xiaojing Chen, Xiaojing Chen, Jingchao Fan, Jingchao Fan, Shen Yan, Longyu Huang, Longyu Huang, Longyu Huang, Guomin Zhou, Guomin Zhou, Jianhua Zhang, Jianhua Zhang

“…The performance of the TAL-SRX method is the best when compared with the different integrated combinations of methods. …”
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