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  1. 15601

    A Hysteresis Model Incorporating Varying Pinching Stiffness and Spread for Enhanced Structural Damage Simulation by Mohammad Rabiepour, Cong Zhou, James Geoffrey Chase

    Published 2025-01-01
    “…Unlike the original BWBN model using constant pinching stiffness (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>k</mi><mi>p</mi></msub></mrow></semantics></math></inline-formula>), this modified new model, inspired by real-world structural damage, improves structural damage detection, identifiability, and analysis in real-world scenarios. …”
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  2. 15602

    Centroid-AME: An open-source software for estimating avian migration trajectories using population centroids movement in the annual cycle by Shi Feng, Alice C. Hughes, Qinmin Yang, Leyi Li, Chao Li

    Published 2025-03-01
    “…To address the inherent spatial and temporal biases of observations, the preprocessing steps include the interpolation of missing values, the application of sliding window, and the detection of outliers, which will address gaps and errors. …”
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  3. 15603

    Genetics polymorphism of poplars from Moscow region based on high-throughput sequencing of ITS by E. V. Borkhert, G. S. Krasnov, N. L. Bolsheva, Р. Kezimana, O. Yu. Yurkevich, O. V. Muravenko, A. V. Kudryavtseva, N. V. Melnikova

    Published 2018-08-01
    “…The involved set of poplars had a high level of genetic diversity – the number of single nucleotide polymorphisms (SNPs) detected in each genotype relative to the reference ITS1 and ITS2 sequences of P. trichocarpa varying from 4 to 44. …”
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  4. 15604
  5. 15605

    Incident Cheyne-Stokes respiration occurring in CPAP-treated patients and cardiovascular risk: a 2-years prospective follow-up (The Alertapnee study) by Arnaud Prigent, Joëlle Texereau, Sébastien Bailly, Renaud Gervais, Anne-Laure Serandour, Régis Luraine, Jean Louis Pépin

    Published 2025-01-01
    “…Identifying CSR patterns related to cardiovascular aetiologies could enable early detection of SCEs through telemonitoring in CPAP-treated patients.…”
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  6. 15606
  7. 15607

    A novel graph neural network based approach for influenza-like illness nowcasting: exploring the interplay of temporal, geographical, and functional spatial features by Jiajia Luo, Xuan Wang, Xiaomao Fan, Yuxin He, Xiangjun Du, Yao-Qing Chen, Yang Zhao

    Published 2025-02-01
    “…Demonstrating superior performance, our approach shows great potential in early detection of flu trends for facilitating public health decisions and resource optimization.…”
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  8. 15608

    Estimating the Severity of Oral Lesions Via Analysis of Cone Beam Computed Tomography Reports: A Proposed Deep Learning Model by Sare Mahdavifar, Seyed Mostafa Fakhrahmad, Elham Ansarifard

    Published 2025-02-01
    “…After preprocessing the data, a deep learning model, referred to as CNN-LSTM, was developed, which aims to detect the degree of severity of the problem based on analysis of the radiologist's report. …”
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  9. 15609

    STUDY OF INTROGRESSIVE LINES OF COMMON WHEAT WITH Aegilops tauschii GENETIC MATERIAL FOR RESISTANCE TO LEAF RUST by E. R. Davoyan, D. S. Mikov, Y. S. Zubanova, D. M. Boldakov, R. O. Davoyan, I. V. Bebyakina, V. А. Bibishev

    Published 2018-03-01
    “…The SCM9 marker indicating the presence of translocation of 1BL.1RS with the Lr26 gene was detected in 15 lines obtained on the basis of T. miguschovae, in 2 lines with genetic material from T. durum (M. it.)…”
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  10. 15610

    Thresholds for clinical practice that directly link handgrip strength to remaining years of life: estimates based on longitudinal observational data by Sergei Scherbov, Sonja Spitzer, Nadia Steiber

    Published 2022-07-01
    “…This study provides standardised thresholds that directly link HGS to remaining life expectancy (RLE), thus enabling practitioners to detect patients with an increased mortality risk early on.Design Relying on representative observational data from the Health and Retirement Study, the HGS of survey participants was z-standardised by gender, age and body height. …”
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  11. 15611

    Perceptions of healthcare professionals on the use of a risk prediction model to inform atrial fibrillation screening: qualitative interview study in English primary care by Chris Gale, Jianhua Wu, Ramesh Nadarajah, Catherine Reynolds, Ellen Hamilton, Lydia Shone

    Published 2025-02-01
    “…We aimed to explore HCP perceptions about using risk prediction models for this purpose, and how models could be implemented.Design Semistructured interviews with HCPs engaged in the Future Innovations in Novel Detection of AF (FIND-AF) study. Data were thematically analysed and synthesised to understand barriers and facilitators to AF screening and guiding screening using risk assessment.Setting Five primary care practices in England taking part in the FIND-AF study.Participants 15 HCPs (doctors, nurses/nurse practitioners, healthcare assistants, receptionists and practice managers).Results Participants knew the health implications of AF and were supportive of the risk prediction models for AF screening. …”
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  12. 15612

    Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification by Ahmed Alsayat, Alshimaa Abdelraof Mahmoud, Saad Alanazi, Ayman Mohamed Mostafa, Nasser Alshammari, Majed Abdullah Alrowaily, Hosameldeen Shabana, Mohamed Ezz

    Published 2025-01-01
    “…The outcomes of this research highlight the synergistic benefit of ensembles in DL applications for medical imaging and suggest a promising approach for the early detection and diagnosis of cardiac diseases, potentially improving clinical outcomes and patient care.…”
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  13. 15613

    Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

    Published 2025-01-01
    “…The proposed SC2SSP approach attains 3.101% and 7.12% higher accuracy; 24.13% and 13.04% higher precision compared with existing methods, like the Detection of COVID-19 from Chest X-ray Images Using Convolutional Neural Networks (Resnet50), Deep learning for automated recognition of covid-19 from chest X-ray images (VGGNet), respectively. …”
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  14. 15614

    Characteristic Fe and Cu Compounds in Particulate Matter from Subway Premises in Japan and their Potential Biological Effects by Takuma Okamoto, Ayumi Iwata, Hiroko Yamanaka, Kako Ogane, Tatsuhiro Mori, Akiko Honda, Hirohisa Takano, Tomoaki Okuda

    Published 2024-12-01
    “…In these chemical speciations, the compounds derived from wear processes with relatively high-temperature oxidation (Fe3O4, γ-Fe2O3, and monovalent Cu compounds) were detected among the Fe and Cu components in subway PM. …”
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  15. 15615

    Ineffective health maintenance behaviors in people with chronic conditions: Systematic review of etiology and risk by Ana Clara Dantas, Barbara Ebilizarda Coutinho Borges, Jéssica Naiara de Medeiros Araújo, Marcos Venícios de Oliveira Lopes, Amanda Barbosa da Silva, Allyne Fortes Vitor

    Published 2025-02-01
    “…This study may assist nursing professionals’ clinical practice by providing support in relation to the early detection of the phenomenon through the identification of new related factors.…”
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  16. 15616

    The Effects of Different Insufflation Pressures on Liver Functions Assessed with LiMON on Patients Undergoing Laparoscopic Cholecystectomy by H. Barıs Eryılmaz, Dilek Memiş, Atakan Sezer, Mehmet Turan Inal

    Published 2012-01-01
    “…No statistical differences were detected on postoperative 24st-hour serum AST and ALT levels and all the time bilirubin between groups (𝑃>0.05). …”
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  17. 15617

    ANALYSIS OF SURFACE DEFECTS OF ALUMINUM AND ITS ALLOYS WITH A SCANNING KELVIN PROBE by A. K. Tyavlovsky, A. L. Zharin, O. K. Gusev, R. I. Varabei, N. I. Muhurov, G. V. Sharonov, K. U. Pantsialeyeu

    Published 2017-02-01
    “…The presence of the second mode in the CPD distribution histogram indicates the significant proportion of defect areas on the sample surface.Analysis of visualized CPD distribution maps using defined criteria allows detecting and characterizing such defects as residual stress areas, areas with reduced microhardness, surface contamination spots, corrosion defects. …”
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  18. 15618

    Application of a New Type of Protective Sputum Suction Device in Clinic against Cross-Infection between Medical Staff and Patients by Kang Lu, Weizhou Wu, Gaomei Jin, Haixia Yang, Xiaowei Cai, Lin Li, Zanchao Chen, Lin Ren, Baoshuan Guo, Qing-feng Xue

    Published 2023-01-01
    “…Compared with open sputum suction, bacteria from the hands of suction staffs and the surrounding environment of the endotracheal tube were barely detected in closed suction. A questionnaire survey of sputum suction nurses suggested that the satisfaction with use and protective effect of the closed suction were better than open suction. …”
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  19. 15619

    Analysis and Evaluation of Quality Indicators and Volatile Compounds of Different Rice Cultivars with Geographical Indication by WANG Qin, ZHOU Changyan, ZHAO Xiaoyan, LI Xiaobei, LI Xujiao, JIANG Zhenghui, ZHANG Yanmei

    Published 2025-02-01
    “…A total of 42 differential volatile compounds were detected in GI rice from Northeast China versus other regions in the country using multivariate statistical analysis, including 25 hydrocarbons and 17 volatile aroma compounds such as alcohols, ketones, aldehydes, and esters. …”
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  20. 15620

    UAV-Based Survey of the Earth Pyramids at the Kuklica Geosite (North Macedonia) by Ivica Milevski, Bojana Aleksova, Slavoljub Dragićević

    Published 2024-12-01
    “…Instead, new tools are increasingly being used for such tasks, including UAVs (unmanned aerial vehicles) and LiDAR (Light Detection and Ranging). Since professional LiDAR is very expensive and still not readily available, we used a low-cost UAV (DJI Mini 4 Pro) to carry out a detailed survey. …”
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