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  1. 1201
  2. 1202

    <i>Celosia argentea</i>: Towards a Sustainable Betalain Source—A Critical Review and Future Prospects by Preekamol Klanrit, Sudarat Thanonkeo, Poramaporn Klanrit, Poramate Klanrit, Kanchanok Mueangnak, Pornthap Thanonkeo

    Published 2025-06-01
    “…Among these, <i>Celosia argentea</i> (Amaranthaceae) has garnered attention as a significant source, accumulating substantial quantities of both red–purple betacyanins and yellow–orange betaxanthins. …”
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  3. 1203

    Exploiting process thermodynamics in carbon capture from direct air to industrial sources: The paradigmatic case of ionic liquids by Sergio Dorado-Alfaro, Daniel Hospital-Benito, Cristian Moya, Pablo Navarro, Jesús Lemus, José Palomar

    Published 2024-12-01
    “…It is obtained that zcyclic can be significantly increased by designing AHA-ILs with more negative ΔHR and ΔSR values, since reaction exothermicity enhances the absorption stage, whereas unfavourable reaction entropy promotes absorbent regeneration. …”
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  4. 1204
  5. 1205

    Predicting Seasonal Deformation Using InSAR and Machine Learning in the Permafrost Regions of the Yangtze River Source Region by Jie Chen, Xingchen Lin, Tonghua Wu, Junming Hao, Xiaodong Wu, Defu Zou, Xiaofan Zhu, Guojie Hu, Yongping Qiao, Dong Wang, Sizhong Yang, Lina Zhang

    Published 2024-09-01
    “…This study employed Independent Component Analysis to isolate large‐scale seasonal deformation from Interferometric Synthetic Aperture Radar (InSAR) measurements taken from 2016 to 2020 in the Yangtze River Source Region (YRSR) of the Qinghai‐Tibet Plateau (QTP), covering 18,500 km2. …”
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  6. 1206

    A Simple(r) Tool For Examining Fixations by Francesco Di Nocera, Claudio Capobianco, Simon Mastrangelo

    Published 2016-06-01
    “…The code is based on Matlab® 2013a and is currently distributed on the web as an open-source project. This implementation of ASTEF got rid of many functionalities included in the previous version that are not needed anymore considering the large availability of commercial and open-source software solutions for eye-tracking. …”
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  7. 1207

    Dynamic Simulation of a Non-linear CSTR Using Scilab/Xcos®: a Practical Approach for Chemical Engineering Education by Luis Carlos Juárez Martínez, Javier Tovar Facio, Rocío Anchondo Granados, Rosalía Ruiz Santos, Anel Rocío Carrasco Hernández

    Published 2025-04-01
    “…The presented simulation is consistent with reference values from the literature, confirming the accuracy and reliability of the Xcos® model. …”
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  8. 1208

    OpenFlume: An accessible and reproducible benchtop flume for research and education by Maya Lewis, Eli Silver, Robert Hunt, Daniel M. Harris

    Published 2024-12-01
    “…In this work, we present an open-source, low-cost, modular benchtop laboratory flume that is designed to be accessible and reproducible. …”
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  9. 1209

    The effect of oil refinery by-products on reproductive and rearing performance in japanese quail by Süleyman Dere, Tahir Balevi, Şeref İnal, Varol Kurtoğlu, Alper Yılmaz

    “…(P>0.05). Hatchability values ol groups were found as 51.41. 51.40, 48.67 and 49.34 % resp. …”
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  10. 1210

    Spatial–Temporal Characteristics, Source Apportionment, and Health Risks of Atmospheric Volatile Organic Compounds in China: A Comprehensive Review by Yangbing Wei, Xuexue Jing, Yaping Chen, Wenxin Sun, Yuzhe Zhang, Rencheng Zhu

    Published 2024-10-01
    “…TVOC emissions were highly concentrated in northern and eastern China, mainly contributed by alkanes and alkenes. Source apportionment of VOCs indicated that vehicle sources (32.9% ± 14.3%), industrial emissions (18.0% ± 12.8%), and other combustion sources (13.0% ± 13.0%) were the primary sources of VOCs in China. …”
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  11. 1211

    Spatial variability characteristics of soil heavy metals in the cropland and its pollution source identification around the contaminated sites by LI Haiguang, SHI Jiachun, WU Jianjun

    Published 2013-05-01
    “…However, few reports have been found in the literature about soil heavy metal spatial distribution and source identification around contaminated sites. Therefore, this study has the aim of elucidating the spatial distribution and source identification of soil heavy metals in croplands near two contaminated sites. …”
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  12. 1212

    SOURCES OF QUATERNARY POTASSIC VOLCANIC ROCKS FROM WUDALIANCHI, CHINA: CONTROL BY TRANSTENSION AT THE LITHOSPHERE–ASTHENOSPHERE BOUNDARY LAYER by S. V. Rasskazov, I. S. Chuvashova, Yi-min Sun, Chen Yang, Zhenhua Xie, T. A. Yasnygina, E. V. Saranina, Zhenxing Fang

    Published 2016-12-01
    “…The sub-lithospheric magma source had 87Sr/86Sr=0.7052, sources of the boundary shielding layer the same and lower Sr-isotopic ratios, and sources of the overlying region the same and higher ratios (Fig. 20). …”
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  13. 1213

    Source Identification and Spatial Distribution of Heavy Metal Concentrations in Shallot Fields in Brebes Regency, Central Java, Indonesia by Triyani Dewi, Edhi Martono, Eko Hanudin, Rika Harini

    Published 2021-01-01
    “…All these concentration values of heavy metals are still lower than the critical values for agricultural soils and lower than the topsoil background values except Cd. …”
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  14. 1214

    Validating a window view simulation engine based on open data and open source using semantic segmentation by A.-M. Bolte, T. Kistemann, T. Kistemann, T. Kötter, Y. Dehbi

    Published 2025-07-01
    “…The validation metrics consist of overall accuracy (OAcc), mean accuracy (mAcc), mean intersection over union (mIoU), and individual IoU values for vegetation, sky, and buildings. The statistics show an mIoU of 0.53, with class-specific IoU values of 0.52 for vegetation, 0.64 for the sky, and 0.43 for buildings, an OAcc of 0.68, and an mAcc of 0.74. …”
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  15. 1215

    Biomarkers and C and S Isotopes of the Permian to Triassic Solid Bitumen and Its Potential Source Rocks in NE Sichuan Basin by Chunfang Cai, Chenlu Xu, Wenxiang He, Chunming Zhang, Hongxia Li

    Published 2017-01-01
    “…P3d source rocks were deposited under euxinic environments as indicated by the pyrite δ34S values as light as -34.5‰ and distribution of aryl isoprenoids, which were also detected from the Lower Silurian (S1l) source rock and the solid bitumen in the gas fields in the west not in the east. …”
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  16. 1216
  17. 1217

    Wind temperature prediction model for ventilation cooling in excavation roadway containing cemented tailings backfill heat sources by Dingyi Wei, Weijie Cao, Cuifeng Du, Zhun Li, Fan Zhang, Junjie Guo

    Published 2024-12-01
    “…The overall mean absolute percentage error (MAPE) between the theoretical calculated values and the simulated values of the established wind temperature prediction model of excavation roadway containing CTB is 0.08 %, which verifies the accuracy and validity of the model. …”
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  18. 1218

    Unravelling urban carbon dynamics: a multi-source data study on Nanchang city's carbon dioxide emissions by Lingyun Yao, Li Wang, Ke Wang, Zheng Niu

    Published 2025-08-01
    “…Furthermore, the distribution results demonstrate a higher resolution and a broader range of values in comparison to ODIAC, thereby avoiding the averaging of values.…”
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  19. 1219

    The Traditional Dance Inheritance System of the Saibatin Indigenous People in Keratuan Darah Putih as a Source of Cultural Literacy by Fitri Daryanti, Risma Sinaga Margaretha, Amelia Hani Saputri

    Published 2025-04-01
    “…Furthermore, this study explores how the values and meanings embedded in traditional dance serve as a source of cultural literacy for the Lampung community. …”
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  20. 1220

    Selected fermented indigenous vegetables and fruits from Malaysia as potential sources of natural probiotics for improving gut health by Olaide Olawunmi Ajibola, Raymond Thomas, Babatunde Femi Bakare

    Published 2023-09-01
    “…The long shelf life of fermented vegetables and fruits improves their nutritional values and antioxidant potentials. Fermented leaves and vegetables can be utilized as a potential source of probiotics as they are host for several lactic acid bacteria such as Lactobacillus confusus, Weissella paramesenteroides, Enterococcus faecalis, Lactobacillus plantarum, Lactobacillus buchneri, Lactobacillus paracasei, Lactobacillus pentosus, Pediococcus acidilactici, Pediococcus pentosaceus and Leuconostoc mesenteroides. …”
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