Research on the Motion Features Model for Underwater Targets with Multiple Highlights and Multiple Micro-Motion Forms by Tong-jing SUN, Zihan ZHOU, Dongliang PENG

“…Under high-frequency and short-range conditions, underwater targets cannot be simply regarded as single highlight targets as they exhibit a complex structure with multiple scattering centers accompanied by distinct micro-motions. …”
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Features of 18F-fluorodeoxyglucose uptake in multiple myeloma by A. S. Subbotin, A. I. Pronin, A. A. Odzharova, M. A. Komarova

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Ensemble Learning-Based Person Re-identification with Multiple Feature Representations by Yun Yang, Xiaofang Liu, Qiongwei Ye, Dapeng Tao

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Cattle identification based on multiple feature decision layer fusion by Dongxu Li, Baoshan Li, Qi Li, Yueming Wang, Mei Yang, Mingshuo Han

“…In precision livestock farming, single-feature recognition methods are prone to misjudgment in complex scenarios involving multiple cattle obscuring each other during drinking and feeding. …”
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Oligonuclear Manganese Complexes with Multiple Redox Properties for High-Contrast Electrochromism by Yi-Ting Wu, Hao-Tian Deng, Li-Yi Zhang, Meng-Die Li, Feng-Rong Dai, Zhong-Ning Chen

“…This study is dedicated to the design of multiple redox-active oligonuclear manganese complexes supported with a bis(tetradentate) ligand (TPDP = 1,3-bis(bis(2-pyridinylmethyl)amino)-2-propanol) for high-contrast electrochromism based on the reversible redox process between Mn(II) (colorless) and Mn(III) (dark brown). …”
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MHFS-FORMER: Multiple-Scale Hybrid Features Transformer for Lane Detection by Dongqi Yan, Tao Zhang

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The Specific Features of the Course and Efficiency of Preventive Therapy for Gestosis in Multiple Labors by S. V. Begova, Z. M. Osmanova, N. S.-M. Omarov

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Epidemiological features of multiple organ dysfunction syndrome in newborns in the Kemerovo region – Kuzbass by A. V. Golomidov, O. G. Kryuchkova, E. V. Grigoriev, A. A. Chernykh, K. V. Lukashov, E. V. Maltseva, V. G. Mozes, K. A. Golomidov, K. B. Moses

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Perceptual, Not Attentional, Guidance Drives Happy Superiority in Complex Visual Search by Sjoerd M. Stuit, M. Alejandra Pardo Sanchez, David Terburg

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Features of diagnosis and surgical treatment of a patient with multiple endocrine neoplasia type 1 by P. N. Romashchenko, N. A. Maistrenko, D. S. Krivolapov, E. B. Kireeva, M. S. Simonova, A. K. Aliev

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Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill by Bo Qin, Luyang Zhang, Heng Yin, Yan Qin

“…Traditional methods always characterize fault feature using a single fault vector, which may fail to reveal whole fault influences caused by complex process disturbances. …”
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Multiple model visual feature embedding and selection method for an efficient ocular disease classification by Isha Kansal, Vikas Khullar, Preeti Sharma, Supreet Singh, Junainah Abd Hamid, A. Johnson Santhosh

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Cross-domain topic transfer learning method based on multiple balance and feature fusion by Zhenshun Xu, Zhenbiao Wang, Wenhao Zhang, Zengjin Tang

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A study of dynamical features and novel soliton structures of complex-coupled Maccari's system by Naseem Abbas, Amjad Hussain, Mohsen Bakouri, Thoraya N. Alharthi, Ilyas Khan

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Identifying Influential Nodes in Complex Networks via Transformer with Multi-Scale Feature Fusion by Tingshuai Jiang, Yirun Ruan, Tianyuan Yu, Liang Bai, Yifei Yuan

“…In complex networks, the identification of critical nodes is vital for optimizing information dissemination. …”
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Looming Detection in Complex Dynamic Visual Scenes by Interneuronal Coordination of Motion and Feature Pathways by Bo Gu, Jianfeng Feng, Zhuoyi Song

“…Notably, by combining neural anatomy architecture and appropriate multiobjective tasks, the model exhibits convergent neural dynamics with biological counterparts post‐training, offering network explanations and mechanistic insights. Specifically, a multiplicative interneuron operation enhances looming signal patterns and reduces background interferences, generalizing to more complex scenarios, such as AirSim 3D environments and real‐world situations. …”
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Three-dimensional genomic characterization of two multiple myeloma patients with normal karyotype and complex karyotype by WANG Yue, CHEN Mengsi, CHEN Ming, LI Yanju, GUAN Xiaohong, LEI Lihua, TAO Li, LIU Xiaoxiao, HE Dong, FEI Xiaoli, ZHANG Kaiji

“…[Objective] To investigate the functional differences and potential effects of chromatin spatial structure in patients with normal karyotype and complex karyotype multiple myeloma. [Methods] High-throughput chromosome conformational capture (Hi-C) analysis was performed on plasma cells of 1 case with 1q21 complex karyotype and 1 case with normal karyotype multiple myeloma, and the differences in three-dimensional genome structure between the two patients were analyzed, and the transcriptome characteristics of plasma cells were combined to investigate the differential features through gene functional enrichment. …”
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Lightweight Indoor Positioning System Based on Multiple Self-Learning Features and Key Frame Classification by C. Wang, K. Bi, B. Zhao, M. Li, Y. Chen, S. Tao, J. Yang

“…However, it still has inherent defects, such as cumbersome data collection, complex algorithms, and universality. To minimize indoor information pre-collection cost, improve versatility, and enable rapid deployment in low-performance mobile devices, this paper proposes a lightweight indoor positioning system based on multiple self-learning features and key frame classification. …”
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The Fusion of Multi-Focus Images Based on the Complex Shearlet Features-Motivated Generative Adversarial Network by Lei Wang, ZhouQi Liu, Jin Huang, Cong Liu, LongBo Zhang, ChunXiang Liu

“…Therefore, the features in complex shearlet domain are more effective. …”
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Ship Target Detection in SAR Images Based on Multiple Attention Mechanism and Cross-Scale Feature Fusion by Yuwu Wang, Tieming Wu, Limin Guo, Yuhan Mo

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