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  1. 14541

    Reconstructed hyperspectral imaging for in-situ nutrient prediction in pine needles by Yuanhang Li, Yuanhang Li, Jun Du, Jun Du, Chuangjie Zeng, Chuangjie Zeng, Yongshan Wu, Yongshan Wu, Junxian Chen, Junxian Chen, Teng Long, Teng Long, Yongbing Long, Yongbing Long, Yubin Lan, Yubin Lan, Xiaoliang Che, Tianyi Liu, Jing Zhao, Jing Zhao

    Published 2025-08-01
    “…Nutrient prediction is performed using spectral data combined with competitive adaptive reweighted sampling (CARS) and partial least squares regression (PLSR).ResultsThe reconstructed hyperspectral images enabled accurate prediction of needle nitrogen, phosphorus, and potassium content, with coefficients of determination (R²) of 0.8523, 0.7022, and 0.8087, respectively. …”
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  2. 14542
  3. 14543

    The Circular Kitchen by Bas Jansen

    Published 2024-09-01
    “…Economic viability is crucial for feasibility, thus an life cycle costing (LCC) method is developed. Research goal 1 (RG1) is therefore to develop an LCC method that determines the economic performance of circular building components. …”
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  4. 14544

    Mild Cognitive Impairment and Cardiometabolic Risk Factors in Bosnian and Herzegovinian Patients with Heart Failure by Jasna Ibrahimović-Pašić, Orhan Lepara, Amela Dervišević, Nermina Babić, Nesina Avdagić, Amina Valjevac, Asija Začiragić

    Published 2024-01-01
    “…Lipids, C-reactive protein (CRP), and fibrinogen were assessed with standard laboratory methods. Student, Mann-Whitney, and Chi-square tests were used to determine significant differences between groups. …”
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  5. 14545

    Dual-Resource Optimization Configuration and Collaborative Scheduling for Flexible Job Shop Under Worker Flexibility Constraints by Zijie Ren, Hongyi Qu, Mejdl Safran, Jiafu Wan

    Published 2025-01-01
    “…This paper focuses on achieving resource allocation via personnel flexibility quantification and dual-resource collaborative scheduling optimization. A method based on the worker ability matrix, proficiency, and skill level coefficients is introduced to quantify and evaluate worker flexibility and individual differences. …”
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  6. 14546

    Enhancing drinking water safety: Real-time prediction of trihalomethanes in a water distribution system using machine learning and multisensory technology by Antonio J. Aragón-Barroso, David Ribes, Francisco Osorio

    Published 2025-06-01
    “…In total, a total of two predictive models were built, based on data filtered by conductivity levels, with coefficients of determination (R2) of 0.64 and 0.47. …”
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  7. 14547

    Reliability and Validity of the Articulation Motion Assessment System Using a Rotary Encoder by Hiroki Ito, Hideaki Yamaguchi, Mari Inoue, Hikaru Nagano, Ken Kitai, Kiichiro Morita, Takayuki Kodama

    Published 2025-01-01
    “…Correlation analysis revealed a significant moderate-to-strong correlation between the AMAS and the conventional method of 2D motion analysis, proving the measurement validity of the AMAS (ρ = 0.53–0.77 for sagittal plane angles; ρ = 0.46–0.72 for frontal plane angles). …”
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  8. 14548
  9. 14549
  10. 14550

    Longitudinal changes in the intraocular pressure and their related factors among adults aged 40 to 64 years by Hassan Hashemi, Mehdi Khabazkhoob, Mohammad Hassan Emamian, Alireza Jamali, Akbar Fotouhi

    Published 2025-03-01
    “…Abstract To determine the five-year changes in intraocular pressure (IOP) and their related factors among individuals aged 40 to 64 years. …”
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  11. 14551

    Impact of Land Use Land Cover Changes on Ecosystem Service Values: Implication for Landscape Management by Mersha Engdaye, Degefa Sileshi, Argaw Mekuria, Mengist Wondimagegn

    Published 2025-05-01
    “…Six LULC types were identified using supervised image classification following maximum likelihood method in ArcGIS 10.8 environment. The ESV was estimated following benefit transfer methods based on the coefficients published by Costanza and his team in 2014. …”
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  12. 14552

    A comprehensive study on in situ stress field characteristics and changes in rock mechanical properties in deep mines in northeastern Yunnan, China by Hui Wang, Bangtao Sun, Cong Cao, Shibo Yu, He Wang, Ye Yuan, Hua Zhong

    Published 2025-06-01
    “…On this basis, a new method using borehole breakouts and drilling‐induced fractures was proposed to determine the stress direction. …”
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  13. 14553

    Backgrounds of origin and character of structural changes in testicles of coalminers of Donbass region by Yu. V. Danilov, T. I. Shevchenko, K. V. Motkov

    Published 2014-04-01
    “…The restrictions of the use of the given method are defined by expressed mosaic of the revealed changes. …”
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  14. 14554

    Utilisation willingness for institutional care by the disabled elderly and its influencing factors based on Andersen’s model: a cross-sectional survey of Henan, China by Yan He, Leping Wan, Haiying Dong, Guangmei Yang, Xiaoxiao Liang

    Published 2022-12-01
    “…A binary Logit model was used to examine the factors influencing the willingness to institutionalise elderly people with disabilities. The determinants of willingness to care in an institution were also explored in a stratified study by gender, age and region to identify the key differences affecting institutionalisation. …”
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  15. 14555

    Landslide Susceptibility Analysis Based on Dataset Construction of Landslides in Yiyang Using GIS and Machine Learning by Chengxun Hou, Huanhua Liu, Xuan Wang, Jinqi Hu, Youde Tang, Xunwen Yao

    Published 2025-05-01
    “…A landslide dataset in Yiyang was constructed after 16 landslide predisposing factors were identified across four categories, topography, geology, environment, and hydrometeorology, through factor state determination and multicollinearity analysis. A Blending ensemble model was created and achieved higher prediction accuracy by fusing predictions from Random Forest, CatBoost, and XGBoost with logistic regression used as the meta-learner, thus deriving the importance coefficients of the landslide predisposing factors and their contribution rates. …”
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  16. 14556

    CDFA: Calibrated deep feature aggregation for screening synergistic drug combinations by Xiaorui Kang, Xiaoyan Liu, Quan Zou, Quan Zou, Tiantian Li, Ximei Luo, Ximei Luo

    Published 2025-07-01
    “…To address this challenge, computational methods leveraging machine learning and deep learning have emerged to effectively navigate this space.MethodsIn this study, we introduce a Calibrated Deep Feature Aggregation (CDFA) framework for screening synergistic drug combinations. …”
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  17. 14557
  18. 14558

    Sorption of picolinic acid by Cu(II)-containing sulfocationite KU-2-8 by H. N. Altshuler, V. N. Nekrasov, S. Yu. Lyrshchikov, O. H. Altshuler

    Published 2024-03-01
    “…To study the equilibrium distribution of components between KU-2-8 sulfocationite and an aqueous solution containing picolinic acid and Cu(II); to show the possibility of immobilization of cations of picolinic acid and Cu2+ in sulfonic cation exchanger KU-2-8; to calculate the component compositions of the equilibrium solution, in order to obtain the required ionic composition of the KU-2-8 sulfonic cation exchanger according to the selectivity coefficients of binary ion exchange, and the constants of formation of such complexes in water.Methods. …”
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  19. 14559

    Molecular identification and phylogenetic analysis of confusing Tetrastigma species based on DNA barcoding and chloroplast genome by Xianjing Li, Yue Zhang, Meifang Song, Niaojiao Xu, Lu Qu, Haitao Li, Yunqiang Wang, Baozhong Duan, Zhonglian Zhang

    Published 2025-07-01
    “…The aim of this study was not only to determine the identification efficiency of the CP genome and ITS2 for T. obtectum and T. serrulatum but also to clarify the phylogenetic relationship and screen the candidate DNA marker suitable for Tetrastigma species, provide valuable data support for further accurate identification of the Tetrastigma genus.…”
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  20. 14560

    Methylglyoxal-induced RNA modifications decrease RNA stability and translation and are associated with type 2 diabetes by Edwin De Jesus Lopez Gonzalez, SWT Lai, Kelani Sun, Caree R. Carson, Carlos Hernandez-Castillo, Tala Zoukari, Kassandra Lopez, Jianying Zhang, Thomas Blevins, John Termini, Sarah C. Shuck

    Published 2025-08-01
    “…Methods: We employed liquid chromatography-tandem mass spectrometry (LC-MS/MS), nuclear magnetic resonance (NMR), and other spectroscopic techniques to characterize MG-induced RNA adducts formed in vitro and in biological samples. …”
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