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  1. 1181

    In-depth study and optimization of process parameters to enhance tensile and compressive strengths of PETG in FDM technology by Rajan Kumaresan, Kumaran Kadirgama, Mahendran Samykano, Wan Sharuzi Wan Harun, Arunkumar Thirugnanasambandam, Krishnan Kanny

    Published 2025-07-01
    “…This design demonstrated a superior ability to absorb compressive force when compared to the other patterns which leads to various industries such as automotive, consumer products, and biomedical devices. …”
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  2. 1182

    Design of Morlet wavelet neural networks integrated with sequential quadratic programming to analyze the dynamics of Ebola virus disease by Asifa Ashraf, Abaid Ur Rehman Virk, Umar Ishtiaq, Ahmed Samy Mohamed Elwahsh, Ioan-Lucian Popa

    Published 2025-06-01
    “…Artificial neural networks (ANNs) are a highly effective approach for modeling intricate systems due to their ability to accurately approximate nonlinear functions. …”
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  3. 1183

    Validation of genetic risk scores for hypertension in the Central Russian population by A. S. Limonova, A. I. Ershova, A. V. Kiseleva, V. A. Kutsenko, V. E. Ramensky, Yu. V. Vyatkin, E. A. Sotnikova, A. A. Zharikova, M. Zaichenoka, M. S. Pokrovskaya, S. А. Shalnova, A. N. Meshkov, O. M. Drapkina

    Published 2023-12-01
    “…A combined GRS was compiled based on coefficients from individual GRSs using the clumping + thresholding (C+T) method.Results. …”
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    Article
  4. 1184

    Cell-Based Relative Potency of a Respiratory Syncytial Virus mRNA Vaccine Correlates with In Vivo Immunogenicity by Katrina Feller, Hesham Nawar, Liping Song, Amanda Abrams, Liang Shang, Ashley Gruber, Tatyana Yun, Hualin Helen Li

    Published 2025-03-01
    “…These vaccine lots were also tested in a cell-based relative potency assay in which the ability of each lot to express the RSV F protein in Hep G2 cells was measured against a reference standard. …”
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  5. 1185

    Unveiling the resilience of the water-energy-food nexus: A context-specific framework and evolutionary insights for the Yellow River Basin by Guiliang TIAN, Jiawen LI, Zheng WU, Qiuya Zhao, Qing Xia, Jinyi Zhang, Xingchao Niu

    Published 2025-06-01
    “…The study finds that (1) Water-energy-food nexus resilience (WEFNR) in the YRB comprises four dimensions: Resource Connectivity and Allocation Capacity (RCAC), Uncertainty Response and Adaptive Capacity (URAC), Institutional Effectiveness and Social Adaptability (IESA), and Sustainability of Ecological Infrastructure (SEI). (2) Compared with traditional TOPSIS and PP models, the ranking results of the NPP-RF-PSO model demonstrate a higher degree of innovation in ranking logic, with Kendall correlation coefficients as low as −0.0130 and −0.0311, respectively, and a superior ability in sample differentiation, as indicated by a high coefficient of variation (CV) of 7.5896 for the normalized scores. …”
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  6. 1186

    Time in range prediction using the experimental mobile application in type 1 diabetes by A. N. Rusanov, T. I. Rodionova

    Published 2024-05-01
    “…The most significant predictors of the regression models were the derived TIR (dTIR), p<0,001; derived time below range level 1 (dTBR1), p<0,001; standard deviation of blood glucose (SD), p=0,007. Determination coefficient for SLR (predictor: dTIR) — 0,844; for MLR (predictors: dTIR, dTBR1, SD) — 0,907. …”
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  7. 1187

    A novel diagnostic framework for breast cancer: Combining deep learning with mammogram-DBT feature fusion by Nishu Gupta, Jan Kubicek, Marek Penhaker, Mohammad Derawi

    Published 2025-03-01
    “…Key metrics such as accuracy, sensitivity, specificity, and Matthew's correlation coefficient (MCC) demonstrated significant improvements. …”
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  8. 1188
  9. 1189

    Thermodynamic and computational studies of Promethazine hydrochloride drug in aqueous and aqueous Choline-based deep eutectic solutions by Ankita S. Chandak, Ritesh Motghare, Ratiram G. Chaudhary, Sangesh P. Zodape

    Published 2025-06-01
    “…Further, positive Hepler's constant (∂2Vϕ0/∂T2) values represent structure-making ability of drug P.HCl in all the investigated systems. …”
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  10. 1190

    3-D fracture network reconstruction and quantitative fractal analysis of subsurface rock fractures via integrated CT scanning and box-counting dimension methodology by Hongjian Wu, Xiangwei Kong, Xing Chen, Dianwei Guan

    Published 2025-06-01
    “…Validation across carbonate and tight sandstone reservoirs demonstrates this methodology's ability to reduce completion efficiency uncertainties by 28 % compared to conventional approaches. …”
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    Article
  11. 1191

    Comparative effects of arithmetic, speech, and motor dual-task walking on gait in stroke survivors: a cross-sectional study by Xueyi Zhang, Xueyi Zhang, Qi Wang, Qiujie Li, Qiujie Li, Hui Liu, Hui Liu, Xianglin Wan, Xianglin Wan

    Published 2025-05-01
    “…In future rehabilitation training, diversity of task types is critical for gait rehabilitation training based on the walking ability of the patients.…”
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  12. 1192

    Study on the Performances of PAC-13 Asphalt Mixture Containing Reclaimed Porous Asphalt Pavement by Fanlong Tang, Jianwei Fan, Tao Ma, Yinhao Sun

    Published 2025-04-01
    “…Simultaneously, the water permeability coefficient, void ratio, and interconnected void ratio all demonstrate significant reductions of 23.5%, 6.5%, and 10.0%, respectively, indicating a diminished drainage capacity in the recycled porous pavement mixture. …”
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  13. 1193

    High-Spatial Resolution Mascon Solution Over High Mountain Asia Constrained by Multisource Prior Information by Wei Wang, Yunzhong Shen, Qiujie Chen, Fengwei Wang

    Published 2024-01-01
    “…Though Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) can accurately monitor monthly global mass changes, the low spatial resolution of ∼300 km limits the ability to reveal detailed spatiotemporal characteristics of mountain glacier changes. …”
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  14. 1194

    Regression analysis and artificial neural networks for predicting pine species volume in community forests by Wenceslao Santiago-García

    Published 2025-11-01
    “…The relative rank method was used to identify the most effective models based on goodness-of-fit statistics, including the coefficient of determination (R2), average absolute error (AAE), total relative error (TRE), average systematic error (ASE), and mean percent standard error (MPSE). …”
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  15. 1195

    Electro-elastic characteristics of KCsMoP2O9 crystal: Exploiting strong piezoelectricity for guided wave transducer applications by Mengdi Fan, Guangda Wu, Huaiyu Wu, Nicholas Garcia, Xiaoning Jiang, Shujun Zhang, Xian Zhao, Fapeng Yu

    Published 2025-01-01
    “…Remarkably, the crystal exhibits a large face-shear piezoelectric coefficient of d14 = 16.2 pC/N, surpassing that of the extensively studied ordered langasite crystal Ca3TaGa3Si2O14 (d14 = 10.4 pC/N). …”
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  16. 1196

    Estimation of ryegrass (Lolium) dry matter yield using genomic prediction considering genotype by environment interaction across south-eastern Australia by Jiashuai Zhu, Jiashuai Zhu, Khageswor Giri, Zibei Lin, Noel O. Cogan, Noel O. Cogan, Joe L. Jacobs, Joe L. Jacobs, Joe L. Jacobs, Kevin F. Smith, Kevin F. Smith

    Published 2025-06-01
    “…Spatial analysis corrected for field heterogeneities, while Leave-One-Out Cross Validation assessed predictive ability. Results identified two distinct mega-environments: mainland Australia (AUM) and Tasmania (TAS), with cultivars showing environment-specific adaptation (Base and Bealey in AUM; Platinum and Avalon in TAS) or broad adaptability (Shogun). …”
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  17. 1197

    Maize and soybean yield prediction using machine learning methods: a systematic literature review by Ramandeep Kumar Sharma, Jasleen Kaur, Gary Feng, Yanbo Huang, Chandan Kumar, Yi Wang, Sandhir Sharma, Johnie Jenkins, Jagmandeep Dhillon

    Published 2025-04-01
    “…Abstract Today’s agronomy is data-rich, and machine learning (ML) provides the ability to efficiently predict crop yields, utilizing high-volume data to optimize agricultural decision-making. …”
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  18. 1198

    Inversion of Water Quality Parameters from UAV Hyperspectral Data Based on Intelligent Algorithm Optimized Backpropagation Neural Networks of a Small Rural River by Manqi Wang, Caili Zhou, Jiaqi Shi, Fei Lin, Yucheng Li, Yimin Hu, Xuesheng Zhang

    Published 2025-01-01
    “…Second, a method combining the Pearson’s correlation coefficient and the variance inflation factor (PCC–VIF) was utilized to decrease the dimensionality of features and improve the quality of the input data. …”
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  19. 1199

    Relationship between job stress and sleep deprivation with burnout in train hoteliers by Naser Sadra Abarghoei, Afarin Akhavan, Mahla Nazri

    Published 2025-03-01
    “…Introduction: Burnout refers to a decrease in an individual's ability to adapt to stressors and includes a syndrome consisting of emotional exhaustion and decreased personal success. …”
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  20. 1200

    Analysis of the Tolerance of 22 Malus baccata Accessions to Alkali Stress by Lu Zhang, Xuan Liu, Lijuan Dong, Wei Liang, Fengwang Ma, Wenquan Yu, Zhengnan Li, Cuiying Li

    Published 2024-12-01
    “…The 22 M. baccata accessions were divided into three categories: high, moderate, and low tolerance based on the cluster analysis of the resistance coefficients of six growth indices combined with the average resistance coefficient evaluation of the growth indices. …”
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