Research trend of functional magnetic resonance imaging in diabetes mellitus research: a visualization and bibliometric analysis by Zongbo Sun, Yuanyuan Li, Xueli Qu, Luguang Wang, Shengyin Zhu, Xuejing Sun, Li Yang, Xiaonan Sun

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A large, general and modular DARPin–apoferritin scaffold enables the visualization of small proteins by cryo-EM by Xin Lu, Ming Yan, Yang Cai, Xi Song, Huan Chen, Mengtan Du, Zhenyi Wang, Jia'an Li, Liwen Niu, Fuxing Zeng, Quan Hao, Hongmin Zhang

“…However, the medium-sized proteins (30–40 kDa) that are prevalent in both eukaryotic and prokaryotic organisms often elude the resolving capabilities of contemporary cryo-EM methods. To address this challenge, we engineered a scaffold strategy that securely anchors proteins of interest to a robust, symmetric base via a selective adapter. …”
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Research hotspots of irisin in the nervous system: a bibliometric study and visualization analysis via CiteSpace by Jiacheng Wang, Jiacheng Wang, Juan Liu, Juan Liu, Wei Pang, Wei Pang, Wei Pang, Xin Li, Xin Li, Xin Li, Xinping Huang, Shan Wang, Shan Wang, Chunxiao Nan, Chunxiao Nan

“…ObjectiveTo visually analyze the current status, hotspots, and frontiers of irisin in the nervous system and to provide a reference for future clinical research.MethodsWeb of Science Core Collection (WoSCC), PubMed, Embase, and Cochrane Library databases were searched for studies on the mechanism of irisin on the nervous system published from January 1st, 2012 to April 15th, 2025. …”
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Advancements and trends in mangrove species mapping based on remote sensing: A comprehensive review and knowledge visualization by Yuqi Wu, Chunyan Lu, Kexin Wu, Wenna Gao, Nuocheng Yang, Jingwen Lin

“…Classification algorithm development has evolved four stages, from pixel-based methods to object-oriented approaches, progressing to approaches incorporating machine learning algorithms, and currently advancing towards ensemble learning and deep learning. …”
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Bibliometric and visualization analysis of hydrogel research in spinal cord injury: comparative study of Chinese and English literature by Wenju Bai, Xiaoyuan Huang, Jian Liu, Kamiran Halike, Jinyong Li, Xv Zhang, Tengwu Chang, Jichao Wang

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Research trends and hotspots of polysaccharide-based nanoparticles in the stabilization of Pickering emulsions: A bibliometric and visualization analysis by Xia Zhang, Junbo Zou, Yajun Shi, Xiaofei Zhang, Bingtao Zhai, Dongyan Guo, Liang Feng, Fei Luan

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Visualization of FDA Adverse Drug Reaction Reports: Development and Usability Study of the VisDrugs Web Server by Renjun Yang, Nuoya Yin, Yang Zhang, Francesco Faiola

“…MethodsFAERS data were extracted in the American Standard Code for Information Interchange (ASCII) format, covering the period from Q3 (third quarter) 2014 to Q3 2024. …”
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Comparative study of evolution of structured flows at boundary of the regime change “diffusion — concentration convection” in isothermal multicomponent mixing in gases by technique... by В.Н. Косов, С.А. Красиков, С.М. Белов, O.В. Федоренко, М. Жанели

“…The feature of this type of mixing is that convection is realized under conditions of decrease in density of mixture with height. Flow visualization method allows to fix information about distribution of medium parameters by dynamics of structures in convective flows. …”
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Trends and hotspots in targeted therapy resistance research for renal cell carcinoma: a bibliometric and visualization analysis by Ziqian Wang, Xiaodu Xie, Ze Wang, Peng Tang, Jian Chen, Jing Xu, Junying Zhang, Haiyang Xiao, Chongliang Zheng, Jun Jiang, Qiuli Liu, Weihua Lan

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Mixed Reality and Artificial Intelligence: A Holistic Approach to Multimodal Visualization and Extended Interaction in Knee Osteotomy by Andrea Moglia, Luca Marsilio, Matteo Rossi, Maria Pinelli, Emanuele Lettieri, Luca Mainardi, Alfonso Manzotti, Pietro Cerveri

“…Methods: Two preclinical test sessions were performed with 11 participants (eight surgeons, two residents, and one medical student) executing three times six tasks, corresponding to a number of holographic data interactions and preoperative planning steps. …”
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Scientometric analysis of research trends in hemorrhagic fever with renal syndrome: A historical review and network visualization by Bing Xu, Qian Yin, Danfeng Ren, Shaocong Mo, Tianzhi Ni, Shan Fu, Ze Zhang, Taotao Yan, Yingren Zhao, Jinfeng Liu, Yingli He

“…This study employs scientometric analysis to map the evolution of research themes, identify widely and scarcely explored areas, and anticipate future research directions. Methods: We searched Web of Science Core Collection from inception until July 31, 2023, identifying 3908 HFRS-related studies published for analysis. …”
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D-Band 4.6 km 2 × 2 MIMO Photonic-Assisted Terahertz Wireless Communication Utilizing Iterative Pruning Deep Neural Network-Based Nonlinear Equalization by Jingwen Lin, Sicong Xu, Qihang Wang, Jie Zhang, Jingtao Ge, Siqi Wang, Zhihang Ou, Yuan Ma, Wen Zhou, Jianjun Yu

“…In this paper, we explore the enhancement of a 4.6 km dual-polarization 2 × 2 MIMO D-band photonic-assisted terahertz communication system using iterative pruning-based deep neural network (DNN) nonlinear equalization techniques. The system employs advanced digital signal processing (DSP) methods, including down-conversion, resampling, matched filtering, and various equalization algorithms to combat signal distortions. …”
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A Visualization of Ultrasonic Beam from a Medical Transducer using a Combination of Background-Oriented Schlieren Imaging with Hilbert Transformation by Margi Sasono, Apik Rusdiarna IP

“…So far, the hydrophone probe provides a standard for ultrasonic visualization. However, this method has constraints such as being time-consuming, intrusive, and requiring off-axis measurements. …”
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A Gradient-Based Recurrent Neural Network for Visual Servoing of Robot Manipulators with Acceleration Command by Zhiguan Huang, Zhengtai Xie, Long Jin, Yuhe Li

“…Differing from the traditional methods, a gradient-based recurrent neural network (GRNN) for solving the visual servoing issue is newly proposed in this article in the light of the gradient descent method. …”
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Video Satellite Staring Control of Ground Targets Based on Visual Velocity Estimation and Uncalibrated Cameras by Caizhi Fan, Chao Song, Zikai Zhong

“…In order to address the shortcomings of traditional calculations of visual speed by time difference methods, this paper proposes a control method based on the estimation of visual velocity, which achieves real-time calculation of the target’s visual speed through adaptive estimation; then, the stability of the closed-loop system is rigorously demonstrated. …”
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Motion Cognitive Decoding of Cross-Subject Motor Imagery Guided on Different Visual Stimulus Materials by Tian-jian Luo, Jing Li, Rui Li, Xiang Zhang, Shen-rui Wu, Hua Peng

“…To compare subject-specific variations of different visual stimuli, a novel cross-subject MI-EEG classification method was proposed for the three visual stimuli. …”
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Electroencephalography and analysis of functional brain activity by S. A. Gulyaev

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Adaptive and Asymmetrical Blending for Bi-Directional Inter Prediction of Various Visual Contents in Video Coding by Minhun Lee, Donggyu Sim

“…However, the blending process of GPM prediction suffers from limitations, primarily because the equal treatment given to blending ranges for predictors, disregarding the unique visual characteristics of diverse video content, leads to suboptimal performance. …”
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Solving and Optimization of Cobb–Douglas Function by Genetic Algorithm: A Step-by-Step Implementation by Ali Dinc, Faruk Yildiz, Kaushik Nag, Murat Otkur, Ali Mamedov

“…Additionally, the optimization process using genetic algorithms is presented in a step-by-step manner, with accompanying visual graphs that enhance comprehension and demonstrate the method’s effectiveness in solving mathematical problems, as validated by the study’s results.…”
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Compressing Graph Data by Leveraging Domain Independent Knowledge by Dr. Sirisha Velampalli

“…Graph compression is used to understand high level structure of the graph through improved visualization. In this work, we introduce CRADLE (CompRessing grAph data with Domain independent knowLEdge), a novel method based on knowledge rule called netting, which reports the number of external networks for each instance of the substructure. …”
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