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  1. 1481

    Comprehensive Review of Plant Protein Digestibility: Challenges, Assessment Methods, and Improvement Strategies by Mauricio Opazo-Navarrete, César Burgos-Díaz, Cristina Bravo-Reyes, Ivo Gajardo-Poblete, Manuel Chacón-Fuentes, Juan E. Reyes, Luis Mojica

    Published 2025-03-01
    “…However, their digestibility varies due to factors such as molecular structure, amino acid composition, and processing methods. This review comprehensively analyzes methods used to assess plant protein digestibility, including in vivo, in vitro, and ex vivo approaches. …”
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    Article
  2. 1482

    The demographic situation in Penza region under the reforms of the administrative-territorial division in the 1920–1930s by Ya.V. Tereshchenko

    Published 2025-08-01
    “…The obvious unevenness of filling the source base on population movement in the first half of the 20th century forces researchers to develop statistical mod-els and use extrapolation or the balance method to obtain the necessary data. But in light of significant administrative and territorial changes in demographic behavior and composition of the population, general models are not always applicable and can give conflicting results. …”
    Article
  3. 1483
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  5. 1485

    Optimizing the extraction of essential oil yield from Pistacia lentiscus oleo-gum resin by superheated steam extraction using response surface methodology by Muhammad Adnan Ayub, Iqra Iram, Rameen Waseem, Iqra Ayub, Amjad Hussain, Muhammad Amin Abid, Shahzad Zafar Iqbal

    Published 2024-10-01
    “…The study revealed that SHSE yielded higher quantities of EO than other extraction methods. GC-MS analyzed the chemical composition of Pistacia lentiscus L. …”
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    Article
  6. 1486

    Large language models and speech genre systematicity by Devyatkin, Dmitry Alekseevich, Salimovsky, Vladimir Alexandrovich, Chudova, Natalya Vladimirovna, Ryzhova, Anastasia A., Grigoriev, Oleg G.

    Published 2025-02-01
    “…It is also shown that since genre-speech systematicity is determined by extralinguistic factors, primarily the characteristics of human consciousness, its manifestations, reflected in the hidden state of the LLM, can be used to model cognitive processes embodied in speech. We also analyze existing approaches to the interpretation of LLMs and describe the applied method to do it. …”
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    Article
  7. 1487
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  9. 1489

    Dentinogenesis imperfecta type II dentin: nanostructural mechanics analysis by Gao Jia, Jiang Tianle, Jiang Haofu, Chen Wenxia, Tu Junhao, Yi Mengjia, Mao Yixin, Chen Yang, Wang Xia, Chen Shuomin, Huang Shengbin

    Published 2025-06-01
    “…Finally, a multiple linear regression (MLR) model was used to verify the correlations between PTD and ITD. …”
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    Article
  10. 1490
  11. 1491

    Two-Layer Optimal Scheduling and Economic Analysis of Composite Energy Storage with Thermal Power Deep Regulation Considering Uncertainty of Source and Load by Chao Xing, Jiajie Xiao, Xinze Xi, Jingtao Li, Peiqiang Li, Shipeng Zhang

    Published 2024-09-01
    “…A two-layer scheduling method of energy storage that considers the uncertainty of both source and load is proposed to coordinate thermal power with composite energy storage to participate in the peak regulation of power systems. …”
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    Article
  12. 1492
  13. 1493

    Comparative Characteristics of Determination of Antioxidant Activity of Sea Buckthorn Fruits by Various Methods by O. V. Trineeva

    Published 2019-11-01
    “…It is known that such a medicinal plant as sea buckthorn, in its phytochemical composition is rich in natural antioxidants: carotenoids, tocopherols, flavonoids, ascorbic acid, etc. …”
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    Article
  14. 1494

    A deep learning strategy for accurate identification of purebred and hybrid pigs across SNP chips by Zipeng Zhang, Zhengwen Fang, Yongwang Du, Yilin He, Changsong Qian, Weijian Ye, Ning Zhang, Jianan Zhang, Xiangdong Ding

    Published 2025-08-01
    “…In this study, we presented a Multi-Layer Perceptron (MLP) model with multi-output regression framework specifically designed for genomic breed composition prediction of purebred and hybrid in pigs. …”
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    Article
  15. 1495

    Developing Credit Risk Assessment Methods to Make loss Provisions for Potential loans by V. A. Rakhaev

    Published 2020-12-01
    “…When estimating the probability of borrowers’ default, potential credit losses and loan provisions, the author applied actuarial, market, statistical and econometric methods. Based on a Russian bank’s sample data for 2012-2019, the author developed a regression model that establishes the relationship between financial ratios and the default of corporate borrowers — agricultural producers, and checked the significance of the model’s financial ratios. …”
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    Article
  16. 1496

    Exercise interventions of ≥8 weeks improve body composition, physical function, metabolism, and inflammation in older adults with stage I sarcopenic obesity: a systematic review an... by Huiting Wei, Huiting Wei, Jiabao Zhang, Jiabao Zhang, Kaiyin Cui, Kaiyin Cui, Hao Su, Hao Su

    Published 2025-08-01
    “…Heterogeneity (I2 > 50%) was managed using random-effects models.ResultsFifteen parallel-group RCTs involving 623 elderly adults (aged ≥60 years) were included. …”
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  17. 1497

    The use of machine learning methods in the development of nasal dosage forms with cerebroprotective action by B. S. Burlaka, I. F. Bielenichev

    Published 2021-07-01
    “…The aim of the study is to develop models of machine learning for in silico forecast of the rational composition of nasal dosage forms with cerebroprotective action. …”
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  18. 1498

    Preparation of Hierarchical Structure Au/ZnO Composite for Enhanced Photocatalytic Performance: Characterization, Effects of Reaction Parameters, and Oxidizing Agent Investigations by Anh-Tuan Vu, Thi Anh Tuyet Pham, Xuan Truong Do, Van Anh Tran, Van Duong Le, Duc Duc Truong, The Huu Nguyen, Minh Viet Nguyen

    Published 2021-01-01
    “…Thus, hierarchical structure Au/ZnO composites were fabricated by the hydrothermal method and chemical reduction method for enhanced photocatalytic performance under visible light. …”
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    Article
  19. 1499

    A Next-generation Exoplanet Atmospheric Retrieval Framework for Transmission Spectroscopy (NEXOTRANS): Comparative Characterization for WASP-39 b Using JWST NIRISS, NIRSpec PRISM,... by Tonmoy Deka, Tasneem Basra Khan, Swastik Dewan, Priyankush Ghosh, Debayan Das, Liton Majumdar

    Published 2025-01-01
    “…Absorption features in both NIRSpec PRISM and MIRI data constrained SO _2 log VMRs to values between −6.25 and −5.73 for all models except equilibrium chemistry. High-altitude aerosols, including ZnS and MgSiO _3 , were inferred, with constraints on their VMRs, particle sizes, and terminator coverage fractions, providing insights into cloud composition. …”
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  20. 1500

    An effective method for the abnormal monitoring of stage performance based on visual sensor network by Fuquan Zhang, Gangyi Ding, Lin Xu, Bo Chen, Zuoyong Li

    Published 2018-04-01
    “…As the traditional monitoring method based on sparse description model to realize abnormal behavior of stage performance did not realize the manifold structure during the performance, the behavior characteristics are sparse, and the decomposition has higher volatility, the recognition accuracy of abnormal behavior is low. …”
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