Screening Antioxidant Components in Yiwei Decoction Using Spectrum-Effect Relationship and Network Pharmacology by Lei Zhang, Wei Zhu

“…Yiwei decoction (YWD) is a classic prescription with the function of nourishing stomach yin. In this study, the effective components of antioxidant activity of YWD and its possible mechanism were discussed from the point of view of spectral effect relationship and network pharmacology. …”
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A Crash Severity Prediction Method Based on Improved Neural Network and Factor Analysis by Chen Zhang, Jie He, Yinhai Wang, Xintong Yan, Changjian Zhang, Yikai Chen, Ziyang Liu, Bojian Zhou

“…Thus, to progress in this area, in this study, a thorough artificial neural network combined with an improved metaheuristic algorithm was developed and tested in terms of its structure, training function, factor analysis, and comparative results. …”
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MFN: Multi-Scale Frequency Feature Fusion Network for Multi-Classification Image Segmentation by Ji Xiao, Li Jianfang, Zhao Peng, Li Xiaochen, Zhang Chengchun, Zheng Junyi, Pang Yonghui, Huang Xiangsheng

“…To address these challenges, this paper introduces the Multi-scale Frequency Feature Fusion Network (MFN), a convolutional neural network designed to effectively integrate multi-scale information. …”
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A generative deep neural network for pan-digestive tract cancer survival analysis by Lekai Xu, Tianjun Lan, Yiqian Huang, Liansheng Wang, Junqi Lin, Xinpeng Song, Hui Tang, Haotian Cao, Hua Chai

“…The network optimization process involves employing an integrated loss function consisting of two modules: the generative-adversarial module facilitates spatial data distribution understanding for extracting high-quality information, while the clustering module aids in identifying disease subtypes. …”
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Network meta-analysis of tuina or acupuncture in combination with adjunctive therapy for cervical spondylotic radiculopathy by Shengxiang Zhao, Jie Yang

“…Tuina (SUCRA: 75%) ranked highest in improving the cervical function of patients. Electroacupuncture + moxibustion and conventional therapy (SUCRA: 97%) was most effective in relieving pain. …”
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Understanding Pathways from Cognitive Biases to the Risk of Psychosis: A Network Analysis Approach by Xi C, Wang S

“…Specifically, the shortest pathways from cognitive biases item “subjective cognitive problems” to PLEs items P7 (subjective cognitive problems), P8 (thought own), and P11 (control force) involved depressive symptoms, including items related to “guilt”, “concentration”, “motor”, and “ suicide”.Conclusion: Our findings highlight the central role of cognitive distortions and emotional symptoms within the psychosis-risk network. Depressive symptom nodes serve as critical mediators between subjective cognitive problems and PLEs, underscoring their pivotal function in driving the development of PLEs among adolescents with cognitive biases. …”
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Causal Central Network Remodeling in Diabetic Neuropathy: An Integrated MR-fMRI Study by Li X, Gao L

“…For validation, amplitude of low-frequency fluctuation (ALFF) and functional connectivity (FC) analyses were conducted using rs-fMRI scans from DPN patients (n=16), diabetic controls without DPN (NDPN, n=24), and healthy controls (HC, n=20).Results: Bidirectional MR demonstrated that: (a) reduced default mode-visual network connectivity causally elevates DPN risk (OR=0.61, P=0.04); (b) DPN promotes subcortical-cerebellar hyperconnectivity (OR=1.04, P=0.01). …”
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Integration of network pharmacology and experimental validation to explore the pharmacological mechanism of andrographolide against asthma by Qian Yu, LiHong Zhu, XuChun Ding, YaFang Lou

“…The plug-in of “Network Analyzer” in Cytoscape 3.7.1 software was used to conduct the topological analysis. …”
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SCL-YOLOv11: A Lightweight Object Detection Network for Low-Illumination Environments by Shulong Zhuo, Hao Bai, Lifeng Jiang, Xiaojian Zhou, Xu Duan, Yiqun Ma, Zihan Zhou

“…Next, Star Blocks from the StarNet framework are employed to optimize the C3k2 module in the Neck stage, thereby improving the localization accuracy of deep features without increasing network complexity. Meanwhile, the Minimum Point Distance based IoU(MPDIoU) loss function is adopted to mitigate gradient explosion risks while enhancing detection precision. …”
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Network pharmacology-based study on the mechanisms of Guben Kangmin Formula for the treatment of chronic urticaria by XIE Baolin, WU Dinghong, LU Chuanjian

“…[Objective] To predict the targets and signal pathways of Guben Kangmin Formula (GBKMF) in treating chronic urticaria (CU) based on network pharmacology and molecular docking methods, and to explore the mechanisms of its action. …”
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Whole-transcriptome insights into follicle selection: deciphering key regulatory networks in Luxi gamecock by Yiya Wang

“…The results were validated using qRT-PCR. Functional analysis, including GO and KEGG, was conducted. …”
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Air pollution and prostate cancer: Unraveling the connection through network toxicology and machine learning by Yuqi Li, Tao Zhou, Zhiyu Liu, Xinyao Zhu, Qilong Wu, Chunyang Meng, Qingfu Deng

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Design and Implementation of Mobile Experiment Algorithm Designer Interface for Network Control System Laboratory by Jahan Zaib Bhatti, Guo-Ping Liu, Shafqat Ali, Nasim Ullah, Ivo Pergl, Lukas Prokop, Vojtech Blazek

“…Thus, it may serve as an excellent educational tool for students and researchers providing on-the-go accessibility, flexibility and customization of experiment algorithm design for NCSLab resources. The working and functionality of MCI and MEAD is validated by conducting an experiment on the Air Bearing Spacecraft (ABS) platform where the algorithm design, simulation validation and experiment are performed through the mobile device. …”
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Replication of neural responses to monetary incentives and exploration of reward-influenced network connectivity in fibromyalgia by Su Hyoun Park, Eden Z. Deng, Anne K. Baker, Kelly H. MacNiven, Brian Knutson, Katherine T. Martucci

“…Further, results from similarly-designed behavioral, correlational, and exploratory analyses were complementary to previous findings. Finally, a novel network-based functional connectivity analysis of the MID task fMRI data across patients vs. controls implied enhanced connectivity within the default mode network in participants with fibromyalgia. …”
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Convolutional Interval-Valued Neutrosophic Network for Intelligent Evaluation of Smart Clothing Design Choices by Fengfang Wu

“…Smart clothing design turned out to be a set of complex decision-making processes requiring complementary aesthetics, functionality, as well as customer preferences. This, in turn, makes the traditional evaluation methods struggle to deal with uncertainty and subjectivity in customer feedback about smart clothing design. …”
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Exploratory actor mapping of social interactions within tick risk surveillance networks in France by Iyonna Zortman, Laurence Vial, Thomas Pollet, Aurélie Binot

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Fusion of Multimodal Audio Data for Enhanced Speaker Identification Using Kolmogorov-Arnold Networks by Aryaman Tamotia, Dhruv Shantu Karmokar, Rethi Komal, K. Khadar Nawas, A. Shahina, A. Nayeemulla Khan

“…In this paper, we discuss an efficient version of Kolmogorov-Arnold Network for audio-based speaker identification using three different types of audio inputs: bone conduction, air conduction, and throat microphone recordings, alongside evaluation on the publicly available LibriSpeech dataset to enhance reproducibility. …”
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Predictive modeling of MB adsorption on activated olive stone through artificial neural networks by Özgül Çimen Mesutoğlu

“…The material’s structure and functional groups were analyzed using Fourier Transform Infrared (FTIR) spectroscopy. …”
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Social networks of educational purpose as a subject of protection in the preparation of specialists of information security by I. D. Rudinskiy, D. Ya. Okolot

“…The paper also describes threats that may arise when using such networks in an educational organization, suggests measures to mitigate risks and discusses functions of information security specialists in ensuring security of social networks used in the educational process. …”
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Exploratory GABAa-informed control network modulates hyperarousal brain dynamics in chronic insomnia by Liyong Yu, Liang Gong, Xiaoqin Chen, Yuqi He, Rong Li, Xiaojuan Hong, Qi Zhang, Siyi Yu

“…This study demonstrates that hyperarousal in chronic insomnia is characterized by more frequent and unpredictable transitions between brain states compared to healthy controls, as revealed by hidden Markov modeling of resting-state functional MRI data. By conducting an exploratory integration of DTI-based structural connectivity and regional GABAa receptor distribution within a network control theory framework, we find that chronic insomnia is associated with a flattened energy landscape reflecting hyperarousal, indicating that less energy is required for the brain to transition between states. …”
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