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  1. 101

    Remote sensing estimation of chlorophyll content in rape leaves in Weibei dryland region of China by Xia Liheng, Zhang Panpan, Shi Lei, Wang Kun, Zhang Tingyu

    Published 2025-01-01
    “…Subsequently, single-factor models, partial least squares regression models, Back Propagation neural network (BPNN) models, Genetic Algorithm (GA) optimization BPNNs, and BPNN models optimized through GAs based on multiple linear stepwise regression using spectral parameters (referred to as MLSR-GA-BP NN models) were constructed and compared. …”
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  2. 102

    Thoracic perfusion of antiangiogenic agents combined with chemotherapy for treating malignant pleural effusion in non-small cell lung cancer: a network meta-analysis by Yan Xu, Wei Si, Yingying Cui, Liming Jiang, Yinan Yu, Xiaohua Zhu

    Published 2024-12-01
    “…Among them, we included a total of seven interventions. A total of 3026 patients participated in this analysis. …”
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  3. 103

    Ultra-Wideband 4-Bit Distributed Phase Shifters Using Lattice Network at <italic>K/Ka</italic>- and <italic>E/W</italic>-Band by Sungwon Kwon, Minjae Jung, Byung-Wook Min

    Published 2024-01-01
    “…In this article, we introduce an ultra-wideband 4-bit distributed phase shifter using a lattice network. To achieve wider bandwidth, the proposed phase shifter employed an all-pass lattice network instead of the traditional low-pass ladder network. …”
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  4. 104

    Patient-sharing networks among Finnish primary healthcare professionals taking care of patients with mental health or substance use problems: a register study by Christian Hakulinen, Marko Elovainio, Jaana Suvisaari, Timo Sinervo, Laura Hietapakka, Visa Väisänen, Ripsa Niemi, Mai Gutvilig, Outi Linnaranta

    Published 2025-01-01
    “…We examined the patient-sharing networks between different professionals taking care of patients with mental health or substance use problems.Design Register study based on the Register of Primary Health Care visits (Avohilmo) that covers all outpatient primary health care visits in Finland.Setting We used the register data covering the visits for the service providers of seven municipalities, adult patients with at least one visit to a health and social service centre within one of the municipalities and visits during the year 2021.Participants We first selected patients with mental health or substance use problems based on psychiatric diagnoses and information on service type and then identified the professionals (N=1566) visited. …”
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  5. 105

    Metaphoric Reading of the Poetry "Russian Nightmare" by Hossein Panahi based on Conceptual Blending Theory by Masoud Dehghan, Behnaz Vahabian

    Published 2018-08-01
    “…Also, the research findings indicates the used metaphors by Panahi are from the type of double-space network.…”
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  6. 106

    Comparative effectiveness of physical activity interventions on cognitive functions in children and adolescents with Neurodevelopmental Disorders: a systematic review and network m... by Ruiyuan Tao, Yijian Yang, Mark Wilson, Jeremy R. Chang, Chang Liu, Cindy H. P. Sit

    Published 2025-01-01
    “…Methods In this systematic review and network meta-analysis, seven databases (Web of Science, PubMed, Medline, APA PsycINFO, Embase, CINAHL, and SPORTDiscus) for randomized controlled trials from database inception to September 2023 were searched. …”
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  7. 107
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  10. 110

    Metabolic profiles and potential antioxidant mechanisms of hawk tea by Sixia Jiang, Hong Zhang, Ya Song, Mingji Xiao, Hao Hu, Shirui Yu, Feng Xie

    Published 2025-01-01
    “…Network pharmacology analyses suggested that 11 potential antioxidant metabolites—four of which were the same metabolites with high levels in the five types, and seven were differential metabolites—could be involved in several metabolic pathways in vivo. …”
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  11. 111

    Socioeconomic status moderate the relationship between mental health literacy, social participation, and active aging among Chinese older adults: evidence from a moderated network... by Yalian Huang, Aibao Zhou, Ping Tang, Xufeng Ma

    Published 2025-01-01
    “…This study sought to address this gap by employing moderated network analysis, in contrast to the total score approaches commonly used in prior literature. …”
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  12. 112
  13. 113

    An Analysis of Factors Contributing to Cost Overruns in the Global Construction Industry by Ahmed Mohammed Abdelalim, Maram Salem, Mohamed Salem, Manal Al-Adwani, Mohamed Tantawy

    Published 2024-12-01
    “…The methodology comprised a systematic literature search, document selection, scientometric analysis, factor standardization, and an SNA application. Seven critical drivers with high network centrality were identified: planning and scheduling issues, project estimation inaccuracies, design inefficiencies, negative weather conditions, scope definition challenges, contractual ambiguities, and unforeseeable site conditions. …”
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  14. 114

    Illumination on Chemical Compounds from Qufeng Zhitong Capsule and Its Potential Pharmacological Mechanism against Rheumatoid Arthritis Based on UHPLC/Q-Orbitrap-MS Combined with N... by Mengjie Xue, Lihua Zhang, Yuting Zhao, Qixuan Mu, Ying Cui, Ke Qian, Xin Chai

    Published 2022-01-01
    “…Besides, all these compounds were proven to have potential pharmacological activity in the treatment of RA based on network pharmacology analysis. In conclusion, this study first investigated the chemical composition and potential pharmacological effects of the main chemical compounds in QZC, which will contribute to the revelation of bioactive compounds in QZC and provide evidence for clinical application.…”
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  15. 115

    Machine and Deep Learning Models for Stress Detection Using Multimodal Physiological Data by Eman Abdelfattah, Shreehar Joshi, Shreekar Tiwari

    Published 2025-01-01
    “…This study employs machine learning and deep learning techniques on multimodal dataset from wearable sensors, focusing on processed metrics for the three-axis acceleration (ACC), electrocardiogram (ECG), blood volume pulse (BVP), body temperature (TEMP), respiration (RESP), electromyogram (EMG), and electrodermal activity (EDA) from the 15 subjects in the WESAD dataset to effectively classify four different states &#x2013; baseline, stress, amusement, and meditation. Seven traditional machine learning algorithms &#x2013; Logistic Regression, Gaussian Na&#x00EF;ve Bayes Classifier, AdaBoost Classifier, XGB Classifier, Decision Trees Classifier, Extra Trees Classifier, and Random Forest Classifier and three widely used deep learning algorithms &#x2013; Deep Neural Network, Convolutional Neural Network and Recurrent Neural Network were trained and tested on the dataset on two phases to predict the state of different subject at any given time. …”
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  16. 116
  17. 117

    An automatic cervical cell classification model based on improved DenseNet121 by Yue Zhang, Chunyu Ning, Wenjing Yang

    Published 2025-01-01
    “…Addressing the issue of low accuracy in cervical cell classification, a deep convolutional neural network A2SDNet121 is proposed. A2SDNet121 takes DenseNet121 as the backbone network. …”
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  18. 118

    The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning by Fatemeh Bahrambanan, Meysam Alizamir, Kayhan Moradveisi, Salim Heddam, Sungwon Kim, Seunghyun Kim, Meysam Soleimani, Saeid Afshar, Amir Taherkhani

    Published 2025-01-01
    “…Moreover, the standard treatment for locally advanced colorectal cancer, which is widely accepted around the world, is chemoradiotherapy. Then, in this study, seven artificial intelligence models including decision tree, K-nearest neighbors, Adaboost, random forest, Gradient Boosting, multi-layer perceptron, and convolutional neural network were implemented to detect patients responder and non-responder to radiochemotherapy. …”
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  19. 119

    Ethyl Acetate Extract of <i>Cichorium glandulosum</i> Activates the P21/Nrf2/HO-1 Pathway to Alleviate Oxidative Stress in a Mouse Model of Alcoholic Liver Disease by Shuwen Qi, Chunzi Zhang, Junlin Yan, Xiaoyan Ma, Yewei Zhong, Wenhui Hou, Juan Zhang, Tuxia Pang, Xiaoli Ma

    Published 2025-01-01
    “…Inflammation was mitigated through reduced levels of Tumor Necrosis Factor Alpha (TNF-α), Interleukin-1 Beta (IL-1β), and C-X-C Motif Chemokine Ligand 10 (CXCL-10). Transcriptomic and network pharmacology analysis revealed seven key antioxidant-related genes, including <i>HMOX1</i>, <i>RSAD2</i>, <i>BCL6</i>, <i>CDKN1A</i>, <i>THBD</i>, <i>SLC2A4</i>, and <i>TGFβ3</i>, validated by RT-qPCR. …”
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  20. 120