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  1. 1801

    Rural Resilience Evaluation and Risk Governance in the Middle Reaches of the Heihe River, Northwest China: An Empirical Analysis from Ganzhou District, a Typical Irrigated Agricult... by Jing Huang, Dongqian Xue, Mei Huang

    Published 2025-04-01
    “…Towns with well-developed multifunctional agriculture, nature reserves, and ecological-cultural control lines have higher resilience indices. (2) The change rate of the rural resilience index demonstrates phase heterogeneity, generally undergoing a “relative stability-increase-decrease” process, and forming a differentiation pattern of “decrease in the north and increase in the south”. (3) Internal risks to rural resilience development in the Ganzhou District mainly stem from low economic efficiency, fragile ecological environment, and unstable landscape patterns, among which efficiency-dominant and landscape-stability obstacle factors have a broader impact scope, while habitat resistance-type obstacle factors are mainly concentrated in the western part and suburban areas. …”
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  2. 1802

    A Bayesian framework to model variance of grain yield response to plant density by Nicolas Giordano, Dustin Hayes, Trevor J. Hefley, Josefina Lacasa, Brian L. Beres, Lucas A. Haag, Romulo P. Lollato

    Published 2025-03-01
    “…Conclusion Modeling grain yield response to plant density with the proposed framework is suitable for heteroscedastic data scenarios. Future research may focus on exploring how genotypes, environments and their interaction modulate the difference between AOPD and minRPD and, extend the framework to a variety of processes involving crop management decisions.…”
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  3. 1803
  4. 1804

    Comparison of cardiac amyloidosis and hypertrophic cardiomyopathy: retrospective analysis of cardiac and kidney lesion by E. V. Reznik, T. L. Nguyen, M. M. Kudryavtseva, G. N. Golukhov

    Published 2023-11-01
    “…The present study was performed to identify features that aid in the differential diagnosis by analyzing clinical, electrocardiographic, echocardiographic and laboratory data in patients with systemic amyloidosis and HCM. …”
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  5. 1805
  6. 1806
  7. 1807

    Monitoring of Bacillus spore-forming dynamics through flow cytometry by Zhili Chen, Yuanyuan Lu, Yuanyuan Lu, Jiazhen Cui, Yuzhong Feng, Haolong Dong, Xuan Huang, Xuan Huang, Chen Zhu, Xianghua Xiong, Huipeng Chen, Qingyang Wang, Gang Liu

    Published 2024-10-01
    “…Data of spore forming rate by FCM method is consistent with that by plate counting method, offering a faster and more efficient approach for assessing sporulation status in industrial Bacillus thuringiensis microbial pesticide production.…”
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  8. 1808

    Epidemic potential of COVID-19 in Omsk region and assessment of the anti-epidemic measures by A. I. Blokh, N. A. Penievskaya, N. V. Rudakov, I. I. Lazarev

    Published 2020-09-01
    “…During the indicated period, there were 5,503 cases of COVID-19 in the Omsk Region. The incidence rate was 285.60/ 0000 (95% CI 278.1 – 293.2), the case fatality rate was 1.5% for completed cases and 0.9^ for all cases. …”
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  9. 1809

    A retrospective evaluation of the clinical monitoring period prior to referral for glaucoma surgery with the emphasis on visual field test results by Jesper L. Hougaard, Boel Bengtsson

    Published 2025-03-01
    “…Data were retrieved from medical records; variables of particular interest were related to intraocular pressure (IOP) measurements and visual field (VF) tests. …”
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  10. 1810

    Design and Simulation of Chinese Cabbage Harvester by Simo Liu, Xuhui Yang, Zhe Zhang, Jianing Xu, Ping Zhao, Subo Tian, Lihua Wei, Xiaofeng Ning

    Published 2025-04-01
    “…Firstly, physical properties of Chinese cabbage such as diameter, plant height, weight, and drawing rate of Chinese cabbage were measured and analyzed to provide necessary basic data for the design of the harvester. …”
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  11. 1811

    A Study of Correlations between Chemical Composition, Hot Rolling Process Pa rameters, Microstructure and Mechanical Properties of Hot Rolled DP600 Steel by T. Kaźmierski, J. Krawczyk, Ł. Frocisz, P. Matusiewicz

    Published 2025-06-01
    “…In this process, it is quite difficult to control key process parameters such as the time or temperature, and the final microstructure of the material is also affected by the degree of deformation of the material at various stages of the process. …”
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  12. 1812

    A New Proposal for Soybean Plant Stand: Variation Based on the Law of the Minimum by Fábio Henrique Rojo Baio, Ricardo Gava, Larissa Pereira Ribeiro Teodoro, Rita de Cássia Félix Alvarez, Marcos Eduardo Miranda Alves, Dthenifer Cordeiro Santana, Cid Naudi Silva Campos, Ana Carina da Silva Cândido, Paulo Eduardo Teodoro

    Published 2024-11-01
    “…MUs with the lowest restriction for maximizing yield were sown in the second year with the lowest plant stand. Data were processed using multivariate statistics. …”
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  13. 1813

    G etting to Implementation for HIV Pre-Exposure Prophylaxis (GTI-PrEP): A data-driven approach to PrEP prescribing by Shari S. Rogal, Brittney Neely, Monica Merante, Karen Slazinski, Lorenzo McFarland, Christina Brodkorb, Jada Cooper, Carolyn Lamorte, Sandra Gibson, Emily Comstock, Jamie Morano, Marissa Maier, Lauren A. Beste, Karine Rozenberg, Maggie Chartier, Matthew J. Chinman, David Ross, Vera Yakovchenko

    Published 2025-06-01
    “…Conclusions This multi-year national evaluation identified a core subset of effective implementation strategies for increasing PrEP prescribing. The process of empirically specifying these strategies and pilot testing them through the GTI-PrEP playbook demonstrates a promising, data-driven approach to improve PrEP prescribing rates and reduce racial disparities in HIV prevention.…”
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  14. 1814
  15. 1815

    Factors influencing patients’ willingness to share their digital health data for primary and secondary use: A theory- and evidence-based overview of reviews by Sabrina Fesl, Caroline Lang, Jochen Schmitt, Stefanie Brückner, Stephen Gilbert, Stefanie Deckert, Madlen Scheibe

    Published 2025-06-01
    “…SRs underwent a multistage screening process using the inclusion and exclusion criteria based on the Population, Concept/Construct, and Context (PCC) framework, followed by data extraction and quality assessment using revised measurement tool to assess systematic reviews (R-AMSTAR2). …”
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  16. 1816
  17. 1817

    EPOCHS. I. The Discovery and Star-forming Properties of Galaxies in the Epoch of Reionization at 6.5 < z < 18 with PEARLS and Public JWST Data by Christopher J. Conselice, Nathan Adams, Thomas Harvey, Duncan Austin, Leonardo Ferreira, Katherine Ormerod, Qiao Duan, James Trussler, Qiong Li, Ignas Juodžbalis, Lewi Westcott, Honor Harris, Louise T. C. Seeyave, Asa F. L. Bluck, Rogier A. Windhorst, Rachana Bhatawdekar, Dan Coe, Seth H. Cohen, Cheng Cheng, Simon P. Driver, Brenda Frye, Lukas J. Furtak, Norman A. Grogin, Nimish P. Hathi, Benne W. Holwerda, Rolf A. Jansen, Anton M. Koekemoer, Madeline A. Marshall, Mario Nonino, Aaron Robotham, Jake Summers, Stephen M. Wilkins, Christopher N. A. Willmer, Haojing Yan, Adi Zitrin

    Published 2025-01-01
    “…We present in this paper the discovery, properties, and a catalog of 1165 high-redshift 6.5 <  z  < 18 galaxies found in deep JWST NIRCam imaging from the GTO PEARLS survey combined with data from JWST public fields. We describe our bespoke homogeneous reduction process and our analysis of these areas including the NEP, CEERS, GLASS, NGDEEP, JADES, and ERO SMACS-0723 fields with over 214 arcmin ^2 imaged to depths of ∼30 mag. …”
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  18. 1818

    Global dynamics of dispersal and diversification among passerine birds by Jonathan Kennedy

    Published 2017-04-01
    “…To achieve this, I comparatively analyze phylogenetic, distributional and eco-morphological trait data collated at broad taxonomic and spatial scales. …”
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  19. 1819

    Statistical estimation of regional differences in regions of the Russian Federation in terms of educational potential of young generations by O. V. Potasheva, M. V. Moroshkina

    Published 2018-06-01
    “…On this basis the  rating of regions of Russia is calculated, the main valuable and  business characteristics of generational and age groups are  considered and compared. …”
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  20. 1820

    From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities. by Shreya Chappidi, Mason J Belue, Stephanie A Harmon, Sarisha Jagasia, Ying Zhuge, Erdal Tasci, Baris Turkbey, Jatinder Singh, Kevin Camphausen, Andra V Krauze

    Published 2025-05-01
    “…<h4>Results</h4>Employing data-driven methods, standalone progression rates were 63% (prescription), 78% (NLP), and 54% (CV), compared to the 99% progression rate from manually applied clinical guidelines using integrated data sources. …”
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