Track Circuits Fault Diagnosis Method Based on the UNet-LSTM Network (ULN) by Weijie Tao, Xiaowei Li, Zheng Li

“…Therefore, this paper proposes a feature extraction method based on the UNet network. This method is used to extract the features of the original data and then input them into the LSTM network for fault diagnosis. …”
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Prediction of Lycii Cortex Quality Marker Based on Network Pharmacology and Chemometrics Methods by Xinrui Wang, Guotong Li, Haoqiang Ding, Xiqin Du, Lanying Zhang, Jingze Zhang, Dailin Liu

“…At the same time, the “component–target–disease” network diagram was constructed by network pharmacology to predict the potential active components of LC. …”
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Constructing habitat networks to protect endangered migratory birds in the Jiaozhou Bay area by Xinyu Liu, Ye Zhao, Lin Fan

“…We first assessed the habitat suitability of seven endangered species in the bay area separately using the MaxEnt model, then constructed and analyzed habitat networks for three groups of migratory birds using the least-cost path model and circuit theory, and finally identified ecologically critical areas that should be prioritized for conservation and restoration. …”
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Ecological Network Analysis for a Low-Carbon and High-Tech Industrial Park by Yi Lu, Meirong Su, Gengyuan Liu, Bin Chen, Shiyi Zhou, Meiming Jiang

“…In order to reveal the processes of carbon metabolism in a low-carbon high-tech industrial park, we selected Beijing Development Area (BDA) International Business Park in Beijing, China as case study, establishing a seven-compartment- model low-carbon metabolic network based on the methodology of Ecological Network Analysis (ENA). …”
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Determination of Important Topographic Factors for Landslide Mapping Analysis Using MLP Network by Mutasem Sh. Alkhasawneh, Umi Kalthum Ngah, Lea Tien Tay, Nor Ashidi Mat Isa, Mohammad Subhi Al-batah

“…The methods are multilayer perceptron (MLP) network classification accuracy and Zhou's algorithm. …”
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Enhancing climate action evaluation using artificial neural networks: An analysis of SDG 13 by Cosimo Magazzino, Zakaria Zoundi

“…This study aims to enhance the evaluation of climate-related Sustainable Development Goals (SDGs), with a focus on SDG 13 (''Climate Action''), using Artificial Neural Networks (ANNs) methods. It examines seven critical 2023 SDG Global Index indexes to model and predict environmental performance. …”
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A Comparative Study of Theoretical Graph Models for Characterizing Structural Networks of Human Brain by Xiaojin Li, Xintao Hu, Changfeng Jin, Junwei Han, Tianming Liu, Lei Guo, Wei Hao, Lingjiang Li

“…Our experimental results suggest that among the seven theoretical graph models compared in this study, STICKY and SF-GD models have better performances in characterizing the structural human brain network.…”
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Scenario construction and evolutionary analysis of nonconventional public health emergencies based on Bayesian networks by Yutao Zhu, Qing Yang, Lingmei Fu, Chun Cai, Jinmei Wang, Ling He

“…The scenario evolution path of COVID-19 was derived by combining seven types of major scenario states and corresponding emergency response measures extracted from 952 spreading scenarios.ResultsThe 26 NCPHE spread scenarios and 41 NCPHE derivation scenarios were summarized. …”
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The Impact of Noise Models on Capacity Performance of Distribution Broadband over Power Lines Networks by Athanasios G. Lazaropoulos

“…This paper considers broadband potential of distribution Broadband over Power Lines (BPL) networks when different well-known noise models of the BPL literature are applied. …”
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Two-layer homolog network approach for PFAS nontarget screening and retrospective data mining by Zhaoyu Jiao, Sachi Taniyasu, Nanyang Yu, Xuebing Wang, Nobuyoshi Yamashita, Si Wei

“…Here, we develop a two-layer homolog network approach for PFAS nontarget screening using mass spectrometry. …”
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Automatic Detection of Cracks in Cracked Tooth Based on Binary Classification Convolutional Neural Networks by Juncheng Guo, Yuyan Wu, Lizhi Chen, Guanghua Ge, Yadong Tang, Wenlong Wang

“…By comparing validation accuracy under seven different learning rates, 10−5 is chosen as the best learning rate for the following testing process. …”
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Analysis of anthropogenic transformation of the hydrographic network in the northern part of Lviv according to cartographic sources by Ye. Іvanov, O. Pylypovych

“…The emergence of new and densification of existing urban spaces in Lviv leads to anthropogenic transformation of the hydrographic network. The purpose of the study was to analyse the degree of transformation of water objects in the northern part of the city based on cartographic sources. …”
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Analysis of the lncRNA-Associated Competing Endogenous RNA (ceRNA) Network for Tendinopathy by Bing-Zhe Huang, Yang Jing-Jing, Xiao-Ming Dong, null Zhuan Zhong, null Xiao-Ning Liu

“…Downregulated C10orf71-AS1 could competitively bind with hsa-miR-130a-5p to regulate the COL4A4. Conclusions. Seven important lncRNAs, particularly MIR133A1HG and C10orf71-AS1, were found associated with tendinopathy according to the lncRNA-associated ceRNA network.…”
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Efficacy and safety of pharmacotherapy for cancer cachexia: A systematic review and network meta‐analysis by Hao Chen, Masashi Ishihara, Hiroki Kazahari, Ryusuke Ochiai, Shigeru Tanzawa, Takeshi Honda, Yasuko Ichikawa, Nobuyuki Horita, Hisashi Nagai, Kiyotaka Watanabe, Nobuhiko Seki

“…Methods A systematic review and network meta‐analysis were conducted to assess the effectiveness and safety of different pharmacotherapies for cancer cachexia. …”
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Residual Life Prediction of SA-CNN-BILSTM Aero-Engine Based on a Multichannel Hybrid Network by Yonghao He, Changjun Wen, Wei Xu

“…In this paper, a multichannel hybrid network is proposed; this network is a combination of the one-dimensional convolutional neural network (1D-CNN), the bidirectional long short-term memory network (BiLSTM), and the self-attention mechanism. …”
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The Role of Beta-hCG Progesterone and Creatine Kinase in the Early Diagnosis of Ectopic Pregnancies by Nagihan Sarı, Hatice Işık, Hatice Başar, Ali Seven, Ahmet Bostancı

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A Novel Antifragility Measure Based on Satisfaction and Its Application to Random and Biological Boolean Networks by Omar K. Pineda, Hyobin Kim, Carlos Gershenson

“…Also, we demonstrated that seven biological systems are antifragile. Our measure and results can be used in various applications of Boolean networks (BNs) including creating antifragile engineering systems, identifying the genetic mechanism of antifragile biological systems, and developing new treatment strategies for various diseases.…”
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Construction and Application of Recognition Model for Black-Odorous Water Bodies Based on Artificial Neural Network by Zhonghua Xu, Changguo Dai, Jing Wang, Lejun Liu, Lei Jiang

“…It can thus be suggested that the sensory description can be accurately recognized by BP neural network. The application results indicate that all seven rivers had black-odorous phenomenon within a year. …”
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Using Reflectance Spectroscopy and Artificial Neural Network to Assess Water Infiltration Rate into the Soil Profile by Naftali Goldshleger, Alexandra Chudnovsky, Eyal Ben-Dor

“…We explored the effect of raindrop energy on both water infiltration into soil and the soil's NIR-SWIR spectral reflectance (1200–2400 nm). Seven soils with different physical and morphological properties from Israel and the US were subjected to an artificial rainstorm. …”
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Sequence-variable attention temporal convolutional network for volcanic lithology identification based on well logs by Hanlin Feng, Zitong Zhang, Chunlei Zhang, Chengcheng Zhong, Qiaoyu Ma

“…Abstract A Sequence-Variable Attention Temporal Convolutional Network (SVA-TCN) is proposed for lithology classification based on well log data. …”
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