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  1. 4441

    Trade-off and synergy relationships and regional regulation of multifunctional cultivated land in the Yellow River Basin by Aman Fang, Yuanqing Shi, Weiqiang Chen, Lingfei Shi, Jinlong Wang, Yuehong Ma

    Published 2025-03-01
    “…The coupling coordination degree model, land system function trade-off degree model, and K-means clustering analysis method are used to analyze the trade-off and synergy relationship between cultivated land functions and divide the functional zones in the Yellow River Basin. 1) In the last 10 years, the levels of cultivated land production, social, and ecological functions in the Yellow River Basin are in the range of 0.01–0.47, 0.04 to 0.23, and 0.03 to 0.23, respectively. …”
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  2. 4442

    Exploring the Nature of Desmosomal Cadherin Associations in 3D by Gethin R. Owen, David L. Stokes

    Published 2010-01-01
    “…This review discusses the merits of two cadherin association models represented using ET. We discuss the possible role of sample preparation on the structural differences seen between models and the possibility of adaptive changes in the structure as a direct consequence of mechanical stress and stratification.…”
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  3. 4443

    It-consultant training in the context of issues of domestic consulting by G. N. Kalyanov

    Published 2017-05-01
    “…The general section of the program covers the basics of systems’ theory, as well as models and methods for modeling business processes and system design. …”
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  4. 4444
  5. 4445

    Spindle-shaped efficient adsorbent NiCo2O4/MIL-53(Fe) for the removal of Congo red: Design, synthesis and performance studies by Bai Sun, Taoyou Zhou, Angang Hu, Yuxian Guo, Yun Wang, Lining Bao, Hao Huang, Mingjian Yi, Shuguang Zhu, Lingtao Kong

    Published 2025-01-01
    “…The topography, elemental composition and crystal structure of the adsorbent were explored using SEM, EDS, XRD, FT-IR and XPS methods. …”
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  6. 4446

    Hirsutella sinensis polysaccharides and Parabacteroides goldsteinii reduce lupus severity in imiquimod-treated mice by Shih-Hsin Chang, Yun-Fei Ko, Jian-Ching Liau, Cheng-Yeu Wu, Tsong-Long Hwang, David M. Ojcius, John D. Young, Jan Martel

    Published 2025-04-01
    “…We showed earlier that polysaccharides derived from the medicinal fungus Hirsutella sinensis produced anti-inflammatory, anti-diabetic and anti-obesity effects by modulating the gut microbiota and increasing the abundance of the commensal Parabacteroides goldsteinii in mice fed with a high-fat diet. Methods: We examined the effects of the prebiotics, H. sinensis polysaccharides, and probiotic, P. goldsteinii, in a mouse model of imiquimod-induced systemic lupus erythematosus. …”
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  7. 4447
  8. 4448

    Influencing factors and quantitative prediction of gas content of deep marine shale in Luzhou block by Xinyang He, Kun Zhang, Shu Jiang, Zhenxue Jiang, Xueying Wang, Wei Jiang, Jing Li, Yijia Wu, Zhi Gao, Tian Tang, Cheng Yang, Xuejiao Yuan, Fengli Han, Zeyun Wang, Laiting Ye

    Published 2025-01-01
    “…In this study, the deep marine shale of Longmaxi Formation in Luzhou area was taken as an example, vitrinite reflectance analysis, kerogen microscopy experiment, TOC content analysis, mineral composition analysis, gas content measurement, isothermal adsorption experiment, physical property analysis and argon ion polishing scanning electron microscopy experiment were carried out to find out factors affecting the gas content of deep marine shale, and a gas content prediction model has been worked out. …”
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  9. 4449

    Bifidobacterium longum subsp. infantis CCFM1426 enhances the anti-colitic effect of vitamin A via retinoic acid restoration and gut microbiota modulation in ulcerative colitis mice by Xihua Yu, Xihua Yu, Liming Huang, Liming Huang, Yi Wang, Yi Wang, Liuruolan Li, Liuruolan Li, Wenwei Lu, Wenwei Lu, Zhijian Zhang, Hongchao Wang, Hongchao Wang

    Published 2025-07-01
    “…Gut microbiota are known to influence VA metabolic pathways, offering potential targets to enhance VA bioavailability and efficacy.MethodsA dextran sulphate sodium (DSS)-induced mouse model of colitis was established to evaluate the therapeutic effects of co-administering Bifidobacterium longum subsp. infantis CCFM1426 with vitamin A. …”
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  10. 4450

    metaGEENOME: an integrated framework for differential abundance analysis of microbiome data in cross-sectional and longitudinal studies by Ahmed Abdelkader, Nur A. Ferdous, Mohamed El-Hadidi, Tomasz Burzykowski, Mohamed Mysara

    Published 2025-07-01
    “…However, DA analysis remains challenging due to high dimensionality, compositionality, sparsity, inter-taxa correlations, uneven abundance distributions, and missing values—all which hinder our ability to model the data accurately. …”
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  11. 4451

    Development and validation of Mental Health Literacy Assessment Scale among community health workers in Nepal by Shishir Paudel, Anisha Chalise, Prashabdhi Shakya, Tulsi Ram Bhandari

    Published 2025-06-01
    “…Objective: To develop and validate the Mental Health Literacy Assessment Scale for assessing mental health literacy among community health workers. Method: A total of 24 items were initially generated and refined through cognitive interviews and expert evaluation. …”
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  12. 4452

    Validation and psychometric properties of the Depression Anxiety Stress Scale for Youth in Chinese adolescents by Jian Jiang, Jian Jiang, Jianhua Chen, Zhifeng Lin, Xuwei Tang, Zhijian Hu

    Published 2024-11-01
    “…Confirmatory Factor Analysis (CFA) evaluated the structural validity and convergent validity of the DASS-Y through the Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), as well as Average Variance Extracted (AVE) and Composite Reliability (CR). Pearson correlation coefficients with the General Health Questionnaire-12 (GHQ-12), and the Pittsburgh Sleep Quality Index (PSQI) assessed criterion validity.ResultsThe CFA confirmed the validity the DASS-Y three-factor model consisting of depression, anxiety, and stress. …”
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  13. 4453

    Optimization of process parameters for cellulose nanocrystals derivative from coconut shell by Dennis O. Bichang’a, Isiaka O. Oladele

    Published 2025-10-01
    “…A two-level factorial design based on Face-centred central composite design (FCCD) of the response surface methodology (RSM) was used to validate an empirical model. …”
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  14. 4454

    The intermodal transport system as a factor of the national economy competitiveness in the world market by A. V. Verigina

    Published 2022-01-01
    “…The article describes the activities of domestic companies, their features, shortcomings and methods of work in the context of the globalization of the economy with a graphical interpretation of the models used by them. …”
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  15. 4455

    Intestinal Fut2 deficiency exacerbated alcohol‐related liver disease by disrupting nicotinamide metabolism by Liuying Chen, Zhongwei Yin, Luorui Shang, Hang Yuan, Wenkang Gao, Shuhan Wang, Shuyan Wang, Xiaohua Hou, Shenglan Yang, Huikuan Chu

    Published 2025-08-01
    “…Nevertheless, its precise involvement in alcohol‐associated liver disease has yet to be fully elucidated. Methods We generated mice with intestinal epithelial cell‐specific Fut2 knockout (Fut2△IEC) and established a chronic‐binge alcohol model. 16S rRNA sequencing and metabolomics analysis were used to reveal differences in the composition and function of faecal bacteria. …”
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  16. 4456

    Fire history and treeline elevation in the Apennines: insights from pedo-anthracological analysis on Monte Cervati, Southern Italy by Giuliano Bonanomi, Giuliano Bonanomi, Adriano Stinca, Giandomenico Amoroso, Emilia Allevato, Giuseppina Iacomino, Gianluigi Mauriello, Riccardo Motti, Alfredo Nicastri, Francesca Bellucci, Mohamed Rida Abelouah, Luigi Di Costanzo, Mohamed Idbella

    Published 2025-07-01
    “…This study investigates the relationship between treeline elevation and historical fire events using Monte Cervati (1,899 m a.s.l.) as a model system.LocationMonte Cervati, located in the Apennine Mountains, Italy.MethodsThe current treeline elevation was mapped, and vegetation was characterized. …”
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  17. 4457

    Gut Microbiome Diversity and Uric Acid in Serum and Urine by Cecilie Ness, Dmitri Svistounov, Marit D. Solbu, Natalia Petrenya, Neoma Boardman, Kirsti Ytrehus, Trond G. Jenssen, Andrew Holmes, Stephen J. Simpson, Svetlana N. Zykova

    Published 2025-06-01
    “…Unadjusted linear regression and models adjusted for sex, waist-hip ratio (WHR), and eGFR were used to study the association between gut microbial diversity, dietary pattern scores, and SUA/FEUA. …”
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  18. 4458

    Investigating the potential immunomodulatory effects of commercial oral probiotic supplements on equine gastrointestinal tract barrier function by Agnieszka Żak-Bochenek, Paulina Żebrowska-Różańska, Joanna Bajzert, Łukasz Łaczmański, Bogumiła Szponar, Natalia Siwińska, Klaudia Gładysz, Katarzyna Sikorska, Anna Chełmońska-Soyta

    Published 2025-01-01
    “…The concentrations of SCFAs, specifically acetic and propionic acids, significantly increased over time in both groups according to the generalized linear mixed effects (GLME) model. There were no significant differences in fecal SIgA secretion.ConclusionThe present study revealed no effect of the use of a commercial probiotic dietary supplement on either mucosal immunity or the composition of the intestinal microbiota.…”
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  19. 4459

    Host-specific effects of Eubacterium species on Rg3-mediated modulation of osteosarcopenia in a genetically diverse mouse population by Soyeon Hong, Bao Ngoc Nguyen, Huitae Min, Hye-Young Youn, Sowoon Choi, Emmanuel Hitayezu, Kwang-Hyun Cha, Young Tae Park, Choong-Gu Lee, GyHye Yoo, Myungsuk Kim

    Published 2024-12-01
    “…This study investigated the interplay between host genetics, gut microbiota, and musculoskeletal health in a mouse model of osteosarcopenia, exploring the therapeutic potential of gut microbiota modulation. …”
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  20. 4460

    Characteristics of gut and lung microbiota in patients with lung masses and their relationship with clinical features by Yanping Yang, Jiacheng Shen, Sulan Wei, Maosong Ye, Xing Zhao, Jian Zhou, Lin Tong, Jie Hu, Yuanlin Song, Shengdi Wu, Nuo Xu

    Published 2025-08-01
    “…Therefore, we categorized the microbiota into feces and bronchoalveolar fluid (BALF) groups to compare microbial characteristics between benign and malignant masses, analyze their clinical correlations, and develop predictive models for lung cancer. Methods A total of 238 fecal samples and 34 BALF samples were collected from patients with benign and malignant masses and then analyzed by 16 SrRNA. …”
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