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    PharmaLLM: A Medicine Prescriber Chatbot Exploiting Open-Source Large Language Models by Ayesha Azam, Zubaira Naz, Muhammad Usman Ghani Khan

    Published 2024-11-01
    “…The fine-tuning process utilized LoRA (Low-Rank Adaptation) with a rank of 16 for parameter-efficient fine-tuning. …”
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  3. 243

    Lactational performance of dairy buffaloes affected by replacing soybean meal with an alternative microbial protein source by Hany M. Gado, Hamdy M. Metwally, Hend A. Sayed, Zeinab R. Mohammed, Pasquale De Palo, Maximilian Lackner, Abdelfattah Z.M. Salem

    Published 2024-12-01
    “…To summarize, nursing buffaloes can utilize HI-PRO® as an efficient protein source in their diets, replacing soybean meal.…”
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  4. 244

    Effects of slow-and controlled-release nitrogen fertilizer on nitrogen utilization characteristics and yield of machine-transplanted rice by Li Yue, Li Yinghong, Zhao Jianhong, Sun Yongjian, Xu Hui, Yan Fengjun, Xie Huaying, Ma Jun

    Published 2015-11-01
    “…Therefore, different slow-and controlled-release N fertilizers and varieties under machine-transplanted rice were set in this paper, to explore effects of slow- and controlled-release N fertilizer on N utilization characteristics and yield in machine-transplanted rice.Two-factor split-plot design was used to explore the slow-and controlled-release N fertilizer to improve N utilization efficiency and yield increasing mechanism in machine-transplanted rice. …”
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  5. 245

    Open-source compact time-domain hydrogen (1H) NMR System for Field Deployment by Winford Janvrin, Jacob Martin, Daniel Hancock, Angelo Varillas, Austin R.J. Downey, Perry J. Pellechia, Joud Satme, Sang Hee Won

    Published 2025-06-01
    “…While packaging and integration with ancillary equipment (e.g., flow-through systems) are not covered, the platform serves as a versatile foundation for specialized deployments. Its open-source design and affordability aim to democratize NMR technology and extending its utility beyond conventional laboratory environments. …”
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  6. 246

    Remote Sensing and Landcover in Ring‐Necked Pheasant Research: A Review of Data Sources and Scales by Megan Baldissara, Allison Barg, Andrew Little, Zhenghong Tang, Brian Wardlow, Daniel R. Uden

    Published 2025-06-01
    “…Spatial technologies and datasets relevant to pheasant research are advancing, yet the information on the data sources utilized in research to date is limited. Remote sensing and landcover datasets surveys in pheasant research could help fill information gaps in pheasant–habitat relationships. …”
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    Education and innovation in the utilization of Beronok (Meranti Sea Cucumber) for sustainable development and community well-being in Meranti by Rahmad Hari Adi, Barlian Eri, Welis Wilda

    Published 2024-01-01
    “…Educational programs and innovative approaches encourage the community to utilize beronok more efficiently, improving food security, promoting healthier lifestyles, and supporting sustainable living practices. …”
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  10. 250

    Buckthorn Leaves as an Efficient Material for Simultaneously Multi Eco-Friendly Purposes by Suha Anwer Ibrahim, Alanood A. Alsarayreh, Teba Tariq Khaled, Mohammed Nsaif Abbas

    Published 2025-07-01
    “…This study endeavors to mitigate zinc contamination in water sources through an adsorption process utilizing buckthorn leaves as a cost-effective, natural adsorbent. …”
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  11. 251

    Utilization of endophytic bacteria for liquid biofertilizer production with a newly designed prototype fermentor for plant improvement by Tanweer Ahmed, Md Shahriar Rahman, Rokanuzzaman, Sibdas Ghosh, Aminur Rahman, Md. Mehdi Hasan, Md. Azizul Haque

    Published 2024-04-01
    “…Endophytic bacteria are a promising source of cost-effective and eco-friendly approaches that are highly desirable for sustainable agriculture. …”
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    Planning Energy-Efficient Smart Industrial Spaces for Industry 4.0 by Viviane Bessa Ferreira, Raphael de Aquino Gomes, José Luis Domingos, Regina Célia Bueno da Fonseca, Thiago Augusto Mendes, Georgios Bouloukakis, Bruno Barzellay Ferreira da Costa, Assed Naked Haddad

    Published 2025-03-01
    “…In this context, this study focuses on improving energy efficiency in smart spaces within the context of Industry 4.0 by utilizing the SmartParcels framework. …”
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  16. 256

    Multi-Source Rainfall Data Assimilation based on Broad Learning System over Yunnan Province by Yuanyuan ZHOU, Xiaohui YANG, Tiangui XIAO

    Published 2025-04-01
    “…The accurate estimation of rainfall is always a topic of concern, given its pivotal role in accurately predicting rainfall-related disasters.This study proposed a multi-source rainfall assimilation technology based on a broad learning system (BLS) to improve the accuracy of rainfall estimation.Yunnan Province, located in China's low-latitude plateau, was chosen as the geographical area of interest to establish a multi-source rainfall assimilation model within this region.In particular, the model utilizes five satellite-derived rainfall datasets (3B42V7, IMERG, GSMaP, CMORPH, PERSIANN) and the latitude and longitude information as the source data, and the ground-based rainfall gauge data serves as the reference data.The time span of all the datasets is from April 2014 to December 2017.A leave-one-year-out cross-validation (LOYOCV) method was applied to verify the performance of the established assimilation model, where statistical indicators including Pearson’s correlation coefficient (CC), root-mean square error (RMSE), mean absolute error (MAE), Nash efficiency coefficient (NSE) and Kling-Gupta efficiency (KGE) were used to quantify the accuracy of assimilation rainfall at different spatiotemporal scales.Concurrently, assimilation models based on support vector machine (SVM) and deep neural network (DNN) were established to highlight the accuracy and efficiency of the BLS, respectively.Additionally, the effectiveness of the latitude and longitude information within the proposed assimilation model was examined.The results show that the daily average statistical index of assimilation rainfall based on BLS is better than that of the other five satellite-based products in LOYOCV.At the temporal scale, the proposed assimilation technique effectively reflects the temporal variations observed in gauge-recorded rainfall.Moreover, it can accurately estimate the rainfall amounts during rainstorms in Yunnan Province throughout 2017.It is worth noting that the rainfall data generated through the BLS method outperforms the CMORPH product (the most accurate one among the five satellite-derived rainfall products) in both rainy and dry seasons (May to October and November to April of next year, respectively).At the spatial scale, BLS-based rainfall results in most areas of Yunnan Province showed higher CC and NSE as well as smaller RMSE and MAE than the satellite-based products.The evaluation of the assimilation models based on BLS, SVM, and DNN highlights that the BLS exhibits superior functional mapping capabilities compared to SVM and demands fewer computational resources than DNN.It is reasonable to conclude that the multi-source rainfall assimilation approach utilizing the BLS while incorporating latitude and longitude information can enhance the precision of rainfall estimates in Yunnan Province.The proposed method presents practical significance in multi-source rainfall data assimilation.…”
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    Transforming waste into value: Advancements in protein recovery and functional product development from wastewater sources by Thirugnanasambandham Karchiyappan, Parameswari Ettiyagounder, Paul Sebastian Selvaraj, Krishnan Ramanujam

    Published 2025-01-01
    “…Other sources, including mung bean, tannery, soybean, silk degumming, dairy, and potato starch wastewater, report recovery exceeding 90 %. …”
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