Gas source and contribution identification for coal measure gas commingled production in Wulihou mining area by NI Xiaoming, FENG Dong, HAO Shaowei, WANG Kai, SU Erlei

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

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

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

“…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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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

“…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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Approaches to modulate buffalo gut microbiome for efficient feed utilization and reduced environmental pollution by Vijit Dey, Puran C. Lailer, Tirtha K. Datta

“…About 37– 44% of global methane emissions, mainly due to enteric fermentation of feeds by fibrolytic bacteria and formation of methane by methanogenic archaea, present in the rumen, is contributed by ruminants and a major source of methane production in the agriculture sector. …”
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Research on the efficient development of shallow geothermal energy: Experimental and numerical investigations on the heat transfer characteristics of the soil-cement energy pile by Huimin RONG, Xun ZHOU, Lizhi WANG, Jia ZHENG, Qimin LI

“…In order to solve the bottleneck problems of low thermodynamic efficiency and large footprint of the traditional ground heat exchanger in ground-source heat pump system, this study proposes a new scheme of coupling the ground heat exchangers with the soil-cement pile composite foundation, a type of pile foundation where cement and the native soil are mixed on-site in the pile hole while drilling to form a pile, to improve the thermodynamic efficiency of the ground heat exchanger by utilizing the good thermodynamic properties of the ground treatment materials. …”
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Multi-Source Rainfall Data Assimilation based on Broad Learning System over Yunnan Province by Yuanyuan ZHOU, Xiaohui YANG, Tiangui XIAO

“…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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Estimation of Aboveground Biomass of Chinese Milk Vetch Based on UAV Multi-Source Map Fusion by Chaoyang Zhang, Qiang Zhu, Zhenghuan Fu, Chu Yuan, Mingjian Geng, Ran Meng

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Multi-Source Heterogeneous Data-Driven Digital Delivery System for Oil and Gas Surface Engineering by Wei Zhang, Zhixiang Dai, Taiwu Xia, Gangping Chen, Yihua Zhang, Jun Zhou, Cui Liu

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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

“…Other sources, including mung bean, tannery, soybean, silk degumming, dairy, and potato starch wastewater, report recovery exceeding 90 %. …”
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Rod-Type Ce/Cr/Nd : YAG Ceramic Lasers with White-Light Pump Source by T. Saiki, T. Iwashita, J. Sakamoto, T. Hayashi, T. Nakamachi, Y. Fujimoto, Y. Iida, M. Nakatsuka

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Organic and inorganic geochemical cyclicity of a Maastrichtian oceanic open-shelf carbonate source rock by Muhammad Usman, Maria Ardila-Sanchez, Erdem Idiz, Israa S. Abu-Mahfouz, Frans van Buchem, Volker Vahrenkamp

“…Understanding this relationship between ocean currents, climate, and the geochemical composition is crucial for efficiently exploring and exploiting organic-rich source rocks. …”
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Optimization and action mechanism of pollutant removal performance of unsaturated vertical flow constructed wetland (UVFCW) driven by substained-release carbon source by Yuechang Wang, Lin-Lan Zhuang, Shuang Liu, Yuanjun Su, Zhen Hu, Jian Zhang, Xiaoping Wang, Shaoming Cui, Gang Peng, Shuting Xie

“…In summary, CWR-Cu achieved the highest utilization of the carbon source and produced the largest number of heterotrophic microorganisms. …”
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Energy Audit for Complex Energy System Simulated Using TRNSYS Software by Volodymyr Bezhan, Volodymyr Zhytarenko, Olga Yakovleva, Oleksii Ostapenko, Mykhailo Khmelniuk

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Model-assisted analysis on the response of tomato fruit growth to source-sink ratio regulated by water and nitrogen by Huiping Zhou, Jinliang Chen, Shaozhong Kang

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EasyHypergraph: an open-source software for fast and memory-saving analysis and learning of higher-order networks by Bodian Ye, Min Gao, Xiu-Xiu Zhan, Xinlei He, Zi-Ke Zhang, Qingyuan Gong, Xin Wang, Yang Chen

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Development of Sucrose-Utilizing <i>Escherichia coli</i> Nissle 1917 for Efficient Heparosan Biosynthesis by Yaozong Chen, Zihua Wan, Zheng-Jun Li

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Flow Allocation Algorithm Based on Potential Game in Multi-Source Multi-Hop Wireless Sensor Network by Wei Zhang, Linghua Zhang

“…The problem of broadcasting K different contents to D destinations from N sources in wireless network was considered. A dynamic control scheme that allows sources split traffic was proposed. …”
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Multi-objective optimization and performance evaluation of rotary furnace refractory linings using locally sourced materials by Aragaw Mulu Muhaba

“…Industrial testing showed the optimized bricks withstanding over 30 furnace cycles, achieving a maximum service temperature of 750°C, and exhibiting improved energy efficiency (60%). These results demonstrate the potential of locally sourced materials to reduce reliance on imports and address challenges in the Ethiopian refractory industry. …”
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