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Remote sensing estimation of chlorophyll content in rape leaves in Weibei dryland region of China
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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Thoracic perfusion of antiangiogenic agents combined with chemotherapy for treating malignant pleural effusion in non-small cell lung cancer: a network meta-analysis
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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Ultra-Wideband 4-Bit Distributed Phase Shifters Using Lattice Network at <italic>K/Ka</italic>- and <italic>E/W</italic>-Band
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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Patient-sharing networks among Finnish primary healthcare professionals taking care of patients with mental health or substance use problems: a register study
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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105
Metaphoric Reading of the Poetry "Russian Nightmare" by Hossein Panahi based on Conceptual Blending Theory
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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Comparative effectiveness of physical activity interventions on cognitive functions in children and adolescents with Neurodevelopmental Disorders: a systematic review and network m...
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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Sentiment Analysis from Face Expressions Based on Image Processing Using Deep Learning Methods
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Metabolic profiles and potential antioxidant mechanisms of hawk tea
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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Socioeconomic status moderate the relationship between mental health literacy, social participation, and active aging among Chinese older adults: evidence from a moderated network...
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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Comparative Lipid-Lowering/Increasing Efficacy of 7 Statins in Patients with Dyslipidemia, Cardiovascular Diseases, or Diabetes Mellitus: Systematic Review and Network Meta-Analyse...
Published 2020-01-01“…Results. As a result, seven statin monotherapy treatments in 50 studies (51956 participants) were used for the analyses. …”
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113
An Analysis of Factors Contributing to Cost Overruns in the Global Construction Industry
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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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...
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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115
Machine and Deep Learning Models for Stress Detection Using Multimodal Physiological Data
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 – baseline, stress, amusement, and meditation. Seven traditional machine learning algorithms – Logistic Regression, Gaussian Naïve Bayes Classifier, AdaBoost Classifier, XGB Classifier, Decision Trees Classifier, Extra Trees Classifier, and Random Forest Classifier and three widely used deep learning algorithms – 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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An automatic cervical cell classification model based on improved DenseNet121
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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The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning
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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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
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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Ventricular assist device implantation in children with a mechanical valve: An ACTION registry analysis
Published 2025-02-01“…Methods: All patients with a history of CHD (n = 433) in the Advanced Cardiac Therapies Improving Outcomes Network database were included in the study (January 2012-January 2023). …”
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