In the Face of the Strategic Choice: New Imperatives of World Policy by Mark A. Neymark

“…In the actual problematic refraction, the features of Russophobia in world politics, its phantoms and realities are being comprehended. …”
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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

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Identification and Interpretation of Cultural Landscape Field from the Integral Conservation Perspective by Zhitong LIANG, Yan DU, Haiyan XIA

“…The actors involved in the overall operation and their relational network are highly generalized into an ontological model of the CLF, which consists of the subject, object, place, and the three-dimensional relationships among them. …”
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Integrated transcriptomic and proteomic profiling of colonic tissue in interleukin-10-deficient mice by Lili Li, Chunxiang Ma, Kexin Chen, Yongbin Jia, Yushan Wu, Hao Lin, Rui Cheng, Mingshan Jiang, Zhen Zeng, Jingjing Chen, Jiangmei Pang, Jiaxin Li, Hu Zhang

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Female Friendship: Analysis of Phrase in Media Discourse and Drawing up a Definition by A. V. Shchetinina, A. S. Semekhina

“…The article is devoted to the analysis of the phrase female friendship against the background of the phrase male friendship, the features of their functioning in artistic, journalistic and network discourses. …”
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Lightweight deep learning method for end-to-end point cloud registration by Linjun Jiang, Yue Liu, Zhiyuan Dong, Yinghao Li, Yusong Lin

“…Specifically, our approach utilizes pruning and weight-sharing quantization techniques to reduce model size and simplify the network structure. We evaluate the proposed model on noisy and partially overlapping point clouds from the ModelNet40 dataset, comparing its performance against other existing methods. …”
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Prediction of psychophysiological perception of driver in road tunnel using particle swarm optimization improved stacked denoising autoencoder model by Can Qin, Bo Liang, Jia'an Niu, Jinghang Xiao, Shuangkai Zhu, Haonan Long

“…The results show that the proposed PSO-SDAE model can effectively achieves the reasonable configuration of the SDAE network parameters, and clean abnormal data by mining the hidden information and structural features of normal data. …”
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CPG-Based Control of an Octopod Biomimetic Machine Lobster for Mining Applications: Design and Implementation in Challenging Underground Environments by Jianwei Zhao, Haokun Zhang, Mingsong Bao, Boxiang Yin, Yiteng Zhang, Zhen Jiang

“…Subsequently, a multi-layer mesh CPG neural network model was developed utilizing the Kuramoto model, which incorporated frustration effects as the rhythm generator. …”
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YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images by Prabu Selvam, P. Shanmuga Sundari, M. Tamilselvi, T. Suresh, M. Murugappan, Muhammad E. H. Chowdhury

“…The improved Bi-directional Feature Pyramid Network (Bi-FPN) has been replaced by a conventional Path Aggregation Network (PAN) to extract more powerful semantic features and sharpen the distinction between multi-scale targets. …”
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Defect Prediction in CWDM Optical Modules Using Multimodal Learning by Kyu-Jeong Choi, Jia Yang, Botambu Collins, Sung-Geun Kim, Do-Jin Lim, Jin-Taek Seong

“…The model was comprehensively evaluated on a real CWDM module dataset through cross-validation, based on performance metrics such as accuracy and F1-score. …”
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Power System Transient Stability Assessment Based on Intelligent Enhanced Transient Energy Function Method by Tianxiao Mo, Jun Liu, Jiacheng Liu, Guangyao Wang, Yuting Li, Kaiwei Lin

“…Based on the transient stability judgment mechanism of the response-driven transient energy function, this paper proposes a transient energy function stability judgment method based on a two-machine equivalent model and enhanced by a convolutional neural network. Firstly, the ST-kmeans method is used to cluster the generator sets, and the S-transformation is performed on the power angle changes of the generator sets to extract features. …”
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A severity estimation method for lightweight cucumber leaf disease based on DM-BiSeNet by Kaiyu Li, Yuzhaobi Song, Xinyi Zhu, Lingxian Zhang

“…A simplified MobileNet V3 network is also constructed to optimize the semantic branch. …”
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HoloMoA: a holography and deep learning tool for the identification of antimicrobial mechanisms of action and the detection of novel MoA by Zohreh Sedaghat, Benoît Courbon, Héloïse Botrel, Hélène Dugua, Pawel Tulinski, Laethitia Alibaud, Lucia Pagani, Derry Mercer, Cyril Guyard, Christophe Védrine, Sophie Dixneuf

“…First, using reconstructed phase images as input to a Convolutional Recurrent Neural Network (CRNN), we detected the MoA of known antibiotics with 95% accuracy. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

“…To address the challenges posed by non-frontal visual features, this study proposes a hybrid model that fusion of Convolutional Neural Networks (CNN) and Bidirectional Long Short-Term Memory (BiLSTM), augmented with a point multiplication attention model and Linear Discriminant Analysis (LDA). …”
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A 3D Dual Encoder Mirror Difference ResU-Net for Multimodal Brain Tumor Segmentation by Qiwei Xing, Zhihua Li, Yongxia Jing, Xiaolin Chen

“…This modification not only streamlines network training but also mitigates issues related to network degradation and the loss of detailed information. …”
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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…We used convolutional neural network-based models pretrained on large-scale open-domain data to extract spatial features of CE images that were then used in a dense feed-forward neural network classifier. …”
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A Novel AI-Based Integrated Cybersecurity Risk Assessment Framework and Resilience of National Critical Infrastructure by Sardar Muhammad Ali, Abdul Razzaque, Muhammad Yousaf, Sardar Sadaqat Ali

“…To address class imbalance, we employed the Synthetic Minority Over-sampling Technique (SMOTE). For feature selection, we used Forward Feature Elimination (FFE), Backward Feature Elimination (BFE), and Recursive Feature Elimination (RFE) to identify the most relevant features. …”
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Cognitive performance classification of older patients using machine learning and electronic medical records by Monika Richter-Laskowska, Ewelina Sobotnicka, Adam Bednorz

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A New BiRNN-SVA Method for Side Lobe Suppression by Shuyi Liu, Yan Jia, Yongqing Liu, Limin Zhai, Xiangkun Zhang

“…To address the problem of residual side lobes or loss of main lobe energy in improved SVA algorithms, the article proposes a new side lobe suppression method combining the bidirectional recurrent neural network (BiRNN) and the SVA algorithm, employing BiRNN to extract the main lobe and side lobe features of radar data to achieve side lobe suppression at any Nyquist sampling rate. …”
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Unmasking Nuances Affecting Loneliness: Using Digital Behavioural Markers to Understand Social and Emotional Loneliness in College Students by Malik Muhammad Qirtas, Evi Zafeiridi, Eleanor Bantry White, Dirk Pesch

“…Chronic loneliness can manifest in two primary forms: social loneliness, which is defined by a lack of belonging or a social network, and emotional loneliness, which comes from the absence of deep, meaningful connections. …”
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