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  1. 8581

    The Effect of High-Intensity Interval Training (HIIT) on Brain-Derived Neurotrophic Factor Levels (BNDF): A Systematic Review by Milosz Mielniczek, Tore Kristian Aune

    Published 2024-12-01
    “…Bias was evaluated using visualization tools such as RobVis, and the review was conducted by a single researcher, which may limit its comprehensiveness. …”
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  2. 8582

    Realistic synthetic dataset generation for cyber-physical systems: a performance evaluation by Yaa Acquaah, Kaushik Roy

    Published 2025-07-01
    “…Furthermore, the synthetic datasets are compared to the real-world data through in-depth statistical analyses, visualization methods, and anomaly detection approaches. …”
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  3. 8583

    Morphological Analysis and Subtype Detection of Acute Myeloid Leukemia in High-Resolution Blood Smears Using ConvNeXT by Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin

    Published 2025-02-01
    “…Automated AML subtype detection is especially important for underrepresented subtypes to ensure equitable diagnostics; (2) Methods: This study explores the potential of ConvNeXt, an advanced convolutional neural network architecture, for classifying high-resolution peripheral blood smear images into AML subtypes. …”
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  4. 8584

    Coping strategies during captivity: a qualitative study on released civilian abductees in Gaza by Inbar Levkovich, Zohar Elyoseph, Shiri Shinan-Altman

    Published 2025-08-01
    “…The aim of the research is to understand the dynamics of individuals who were liberated from captivity, focusing on the coping mechanisms. Methods This qualitative research study examined the coping resources of civilian abductees through thematic analysis of the testimonies of 33 Israeli civilians aged 18–85 who were abducted in the Israel- Hamas war, 2023, based on testimonies published in Israeli online news media platforms. …”
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  5. 8585

    Time Series Analysis of Daily Bed Costs and Consumption Ratio of Inpatients with CHD in a Children’s Hospital in Chengdu by Yang H, Xiang S, Yang Y

    Published 2025-07-01
    “…Honglin Yang, Siyu Xiang, Yuwei Yang West China Second University Hospital, Sichuan University, Office of Operations Management and Evaluation, Chengdu, Sichuan, 610000, People’s Republic of ChinaCorrespondence: Yuwei Yang, Email canbiezan555@163.comObjective: This study aims to examine the evolving trends in daily bed costs and the ratios of consumables costs for inpatients with congenital heart disease (CHD) at a pediatric hospital in Chengdu from 2019 to 2024 and to project these metrics for the year 2025.Methods: Utilizing SPSS version 23.0, we employed exponential smoothing and ARIMA models to analyze the daily bed cost data of CHD inpatients from 2019 to 2023, constructing predictive models accordingly. …”
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  6. 8586

    Dynamic magnetic resonance imaging of the cerebrospinal fluid flow within the cerebral aqueduct by different FISIP 2D sequences by Lučić Miloš A., Koprivšek Katarina M., Till Viktor, Vesić Zoran

    Published 2010-01-01
    “…A vast majority of current radiogical techniques, such as computerized tomography (CT) and magnetic resonance imaging (MRI) have great potential of visualization and delineation of cerebrospinal fluid spaces morphology within cerebral aqueduct. …”
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  7. 8587

    Recognition of Conus species using a combined approach of supervised learning and deep learning-based feature extraction. by Noshaba Qasmi, Rimsha Bibi, Sajid Rashid

    Published 2024-01-01
    “…In this report, we propose an ensemble learning strategy based on the combination of Random Forest (RF) and XGBoost (XGB) methods. We used 47,600 cone shell images of uniform size (224 x 224 pixels), which were split into an 80:20 train-test ratio. …”
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  8. 8588

    Affective-Computing-Driven Personalized Display of Cultural Information for Commercial Heritage Architecture by Huimin Hu, Yaxin Wan, Khang Yeu Tang, Qingyue Li, Xiaohui Wang

    Published 2025-03-01
    “…The display methods for traditional cultural heritage lack personalization and emotional interaction, making it difficult to stimulate the public’s deep cultural awareness. …”
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  9. 8589

    Characterization of In Vivo Retinal Lesions of Diabetic Retinopathy Using Adaptive Optics Scanning Laser Ophthalmoscopy by Sonja G. Karst, Jan Lammer, Salma H. Radwan, Hanna Kwak, Paolo S. Silva, Stephen A. Burns, Lloyd Paul Aiello, Jennifer K. Sun

    Published 2018-01-01
    “…To characterize hallmark diabetic retinopathy (DR) lesions utilizing adaptive optics scanning laser ophthalmoscopy (AOSLO) and to compare AOSLO findings with those on standard imaging techniques. Methods. Cross-sectional study including 35 eyes of 34 study participants. …”
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  10. 8590

    Epidemiology of hepatitis B and C among risk groups in Czechia by Iva Bendlova, Vojtech Simka, Ekaterina Ryzhova, Tereza Schovankova, Ondrej Holy

    Published 2025-05-01
    “…The research employed quantitative methods and descriptive data analysis. A spatial visualization of disease occurrence per 100,000 inhabitants in Czech districts was conducted for the years 2000, 2010, and 2020 to compare disease development and the risk group of IDUs across districts. …”
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  11. 8591

    Blockchain Technologies in Logistics and Supply Chain Management: A Bibliometric Review by Abderahman Rejeb, Karim Rejeb, Steve Simske, Horst Treiblmaier

    Published 2021-10-01
    “…We employ a knowledge domain visualization technique to generate insights that go beyond other review studies on blockchain research within logistics and SCM. …”
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  12. 8592

    A machine learning-based approach for precision risk stratification and multifactorial analysis of needlestick injuries in oral and maxillofacial surgery nursing by Xiulan Deng, Jiayang Han, Linlin Yin, Yongzhi Pang, Qingbin Han, Lu Zhao, Wenlei Liu, Qing Li

    Published 2025-07-01
    “…This study uses advanced clustering and dimensionality reduction techniques to identify high-risk groups and key contributing factors. Methods A structured questionnaire was administered to 224 nurses in five hospitals in Shandong Province. …”
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  13. 8593

    The Application of Three Dimensional Digital Technologies in Historic Gardens and Related Cultural Heritage: A Scoping Review by Fangming Li, Cristiana Achille, Giorgio Paolo Maria Vassena, Francesco Fassi

    Published 2025-01-01
    “…By analyzing a curated selection of literature, this study assessed the current state of research, highlighting trends in publications, the geographic distribution of contributors, and the key technologies employed. Using bibliometric methods and visualization tools, followed by a case study review, this review identified significant research hotspots and technical methodologies, particularly focusing on advanced techniques such as mobile laser scanning, UAV photogrammetry, and point cloud processing and their relationships with end users. …”
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  14. 8594

    Esophageal Atresia at Daniel de Matos Maternity: A Fifteen-year Review by Beatriz Pedro, Rui Castelo, Guiomar Oliveira

    Published 2025-05-01
    “…Prenatal suspicion consisted on ultrasound (polyhydramnios/stomach non-visualization), where EA type A had higher reports. Higher incidence of EA was found in premature newborns. …”
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  15. 8595

    Quality Assessment of Plain Chest X-Rays of the Expatriates in Jordan: Multi-Centres Study by Ayasrah M, Al Hrout RA, Rawahneh K

    Published 2025-03-01
    “…This study assesses the quality of plain chest X-rays (CXR) for expatriates in Jordan, with a focus on complying to American College of Radiology (ACR) and European Commission (EC) criteria at 12 healthcare facilities.Methods: A retrospective cross-sectional evaluation of 1020 CXR radiographs from 2023 was performed. …”
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  16. 8596

    ToxACoL: an endpoint-aware and task-focused compound representation learning paradigm for acute toxicity assessment by Jiang Lu, Lianlian Wu, Ruijiang Li, Mengxuan Wan, Jun Yang, Peng Zan, Hui Bai, Song He, Xiaochen Bo

    Published 2025-07-01
    “…Existing deep learning methods struggle with diverse experimental conditions, imbalanced data, and scarce target data, hindering their ability to reveal endpoint associations and accurately predict data-scarce endpoints. …”
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  17. 8597

    The spatiotemporal dynamic evolution characteristics of carbon emissions in less developed resource-based cities: evidence from Pingliang City, China by Hui Dong, Peng Zhang, Huanbao Dong, Najuan Jia

    Published 2025-04-01
    “…Abstract This study estimates the carbon emissions of Pingliang City, a resource-based city in less developed areas of China, from 2010 to 2020, based on nighttime light data and county-level carbon emission data from the CEADs database. By employing visualization methods such as standard deviation ellipses and exploratory spatial analysis, the spatiotemporal evolution and spatial agglomeration characteristics of carbon emissions in Pingliang City are depicted. …”
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  18. 8598

    Design and Application of an Energy Management System Based on Artificial Intelligence Technology by Hongye Lin, Xuanying Bai, Chun Li, Shenghan Xu, Haibin Xu, Zne-Jung Lee, Yun Lin, Qunshan Zhou, Jingxun Cai

    Published 2025-04-01
    “…Various machine learning methods are applied to energy management by predicting the chilled water energy meter return temperature of the central air-conditioning system and comparing its performance. …”
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  19. 8599

    Development of an Automated Management System for Agricultural Technologies in Horticulture by D. O. Khort, A. I. Kutyrev, I. G. Smirnov, I. V. Voronkov

    Published 2021-06-01
    “…(Research purpose) To develop and substantiate the parameters of an automated management system for agricultural technologies in horticulture with the ability to conduct land inspections using a mobile application. (Materials and methods) ADO.NET driver Npqsql was used for work with the database. …”
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  20. 8600

    Enabling additive manufacturing part inspection of digital twins via collaborative virtual reality by Vuthea Chheang, Saurabh Narain, Garrett Hooten, Robert Cerda, Brian Au, Brian Weston, Brian Giera, Peer-Timo Bremer, Haichao Miao

    Published 2024-11-01
    “…This framework includes advanced features for intuitive alignment and visualization of multimodal data, visual occlusion management, streaming large-scale volumetric data, and collaborative tools, substantially improving the inspection of AM components and processes to fully exploit the potential of DTs in AM.…”
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