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  1. 3381

    Extracting individual trajectories from text by fusing large language models with diverse knowledge by Le Liu, Tao Pei, Zidong Fang, Xiaorui Yan, Chenglong Zheng, Xi Wang, Ci Song, Wenfei Luan, Jie Chen

    Published 2025-07-01
    “…Extracting trajectories from text can enhance travel experience optimization, historical analysis, and pandemic management. …”
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    Article
  2. 3382

    Determination of Rare Earth Elements in Soil and Stream Sediment by Inductively Coupled Plasma-Mass Spectrometry with Automatic Graphite Digestion by Meiyun ZENG, Qisheng HE, Xin SHAO, Xiaoli YANG

    Published 2023-06-01
    “…The digestion procedure, the effects of digestion mixed acid, precision, accuracy, and detection limit of the method were studied by soil and stream sediment reference materials including GBW07402, GBW07446, GBW07448, GBW07454, GBW07456, GBW07457, GBW07304a, GBW07307a, GBW07308, GBW07312, GBW07359 and GBW07361.RESULTSThe results showed that the amount of mixed acids was 4mL consumed by soil and stream sediment digestion according to optimized digestion procedure. …”
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  3. 3383

    IMPLEMENTASI APLIKASI TAPROSE TEMANKU HUMAS KOMINFO KABUPATEN TIBAN by Early Azza Bening Brillianti, Pratiwi Wahyu Widiarti

    Published 2020-09-01
    “…This study used descriptive method with a qualitative approach. In determining the informants, researcher uses purposive sampling techniques. …”
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    Article
  4. 3384

    Isolation and identification of an alginate lyase-producing marine bacterium strain and its enzymological characteristics by TANG Haiqing, OU Changrong, ZHENG Xiaodong

    Published 2013-07-01
    “…The enzymological characteristics of alginate lyase from the strain QZ-4 were determined by ultraviolet (UV) method, including the optimal temperature, pH, thermal and pH stability, metal ions and ethylene diamine tetraacetic acid (EDTA) tolerance, etc.The results showed that the strain QZ-4 was a Gram-negative rod bacterium. …”
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    Article
  5. 3385

    Classification of Oil Loss Levels in Palm Oil Processing Using Near-Infrared Spectroscopy with Machine Learning by Muhamad Ilham Fauzan, Jaka Adi Baskara, Wahyuningdiah Trisari Harsanti Putri, Quintin Kurnia Dikara

    Published 2025-08-01
    “…The results of the study indicate that applying machine learning methods to FOSS-NIRS data can enhance the accuracy of oil loss classification, making it a potential solution for broader implementation in the palm oil processing industry to optimize production efficiency.   …”
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    Article
  6. 3386

    Advancements and Prospects in Algal Biofuel Production: A Comprehensive Review by Halina Falfushynska

    Published 2024-10-01
    “…Despite the challenges associated with the high costs of cultivation and processing, advances in biotechnological methods and process engineering promise to overcome these barriers. …”
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    Article
  7. 3387

    Study on the extraction and stability of total flavonoids from Millettia speciosa Champ. by Junhai Liu, Xiaosha Guo, Tengteng Yang, Xiaoli Wang, Yinku Liang

    Published 2025-01-01
    “…Millettia speciosa Champ, a member of the Leguminosae family and the genus Millettia, is a rich source of total flavonoids. Investigating the extraction methods and stability of total flavonoids from Millettia speciosa Champ using ultrasound-assisted extraction is crucial for enhancing its medicinal value and advancing the modernization of traditional Chinese medicine. …”
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    Article
  8. 3388
  9. 3389

    A detailed analysis of game statistics of professional tennis players: An inferential and machine learning approach. by Michal Bozděch, Dominik Puda, Pavel Grasgruber

    Published 2024-01-01
    “…Tennis, a widely enjoyed sport, motivates athletes and coaches to optimize training for competitive success. This retrospective predictive study examines anthropometric features and statistics of 1990 tennis players in the 2022 season, using 20,040 data points retrospectively obtained from the ATP official source after the end of the season. …”
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    Article
  10. 3390

    High entropy powering green energy: hydrogen, batteries, electronics, and catalysis by Guotao Qiu, Tianhao Li, Xiao Xu, Yuxiang Liu, Maya Niyogi, Katie Cariaga, Corey Oses

    Published 2025-05-01
    “…We highlight the role of computational methods, such as density functional theory and machine learning, in accelerating the discovery and optimization of HEMs. …”
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    Article
  11. 3391

    Literature review for the topic of automation of scheduling classes and exams in higher education institutions by Wadhah M Al-Gabri

    Published 2017-03-01
    “…Materials and Methods. The analytical study results of a number of the Russian and foreign sources on methods and algorithms of the classes and exams timetabling automation are described. …”
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    Article
  12. 3392

    Digital Technologies in the Financial sector: Evolution and Major Development Trends in Russia and Abroad by D. A. Artemenko, S. V. Zenchenko

    Published 2021-07-01
    “…The research is based on the analysis of data provided by international consulting companies, analytical centers, and official data sources of the Central Bank (Bank of Russia). The authors apply methods such as comparative research, empirical, logical, graphical, analysis, interpretation, and comparison. …”
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  13. 3393

    Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

    Published 2021-08-01
    “…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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  14. 3394

    Food-related behaviors of rural (Asaase Kooko) and peri-urban (Kaadjanor) households in Ghana by Prince Kwabena Osei, Megan A. McCrory, Matilda Steiner-Asiedu, Edward Sazonov, Mingui Sun, Wenyan Jia, Tom Baranowski, Gary Frost, Benny Lo, Alex Kojo Anderson

    Published 2025-02-01
    “…Farming was the main source of food in rural households, whereas buying food from local markets and grocery stores was the main source of food in peri-urban households. …”
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  15. 3395
  16. 3396

    Purification and characterization of L-asparaginase produced from Bacillus sp. by Sahar I. H., Zaid A. H., Milad A.

    Published 2023-12-01
    “…After 24 hours of incubation, submerged fermentation yielded optimal conditions for the production of L-asparaginase (L-ASNase) by the chosen isolate, with medium (2) serving as the optimal medium for production and fructose serving as the optimal source of carbon. …”
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  17. 3397

    Comparison of chamber beam geometry robustness to mispointing, imbalance and target offset for direct-drive laser fusion facilities by D. Viala, A. Colaïtis, D. Barlow, D. Batani

    Published 2024-01-01
    “…This study focuses on the optimization of beam chamber geometry designs for future direct-drive laser facilities. …”
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  18. 3398

    Solar Energy Harvesting and Management in Wireless Sensor Networks by Muhammad Mazhar Abbas, Mohamed A. Tawhid, Khalid Saleem, Zia Muhammad, Nazar Abbas Saqib, Hafiz Malik, Hasan Mahmood

    Published 2014-07-01
    “…Wireless networks comprise of small devices that are typically deployed in environments where paucity of energy seriously restricts essential operations. The energy source of these devices decreases very quickly during continuous operation and it is pivotal to replace or recharge frequently the power sources. …”
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  19. 3399

    Effects of autolytical fish protein hydrolysate on growth performance, survival rate, and hematological indices in farmed juvenile beluga, Huso huso by Ali Hosseinpour Zelaty

    Published 2024-03-01
    “…Introduction: Aquaculture's rapid expansion has led to a high demand for fishmeal, a key protein source in aquafeed. To address this, alternatives like fish protein hydrolysates (FPHs) are being investigated. …”
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  20. 3400

    How to reduce the risk of primary engraftment failure after haploidentical hematopoietic stem cell transplantation in patients with acute myeloid leukemia? by D. K. Zhogolev, S. N. Bondarenko, A. G. Smirnova, Yu. Yu. Vlasova, D. A. Chernyshova, I. S. Moiseev, A. D. Kulagin

    Published 2025-03-01
    “…However, the high incidence of primary graft failure remains a significant challenge. Optimizing transplantation strategies, including the selection of the graft source and modification of conditioning regimens, may improve haplo‑HSCT outcomes.   …”
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