City-scale industrial tank detection using multi-source spatial data fusion by Zhibao Wang, Mingyuan Zhu, Lu Bai, Jinhua Tao, Mei Wang, Xiaoqing He, Anna Jurek-Loughrey, Liangfu Chen

“…The integration from multiple data sources provides an accurate and efficient solution for the identification of industrial storage tanks within urban areas.…”
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Advancing the accuracy of clathrin protein prediction through multi-source protein language models by Watshara Shoombuatong, Nalini Schaduangrat, Pakpoom Mookdarsanit, Jaru Nikom, Lawankorn Mookdarsanit

“…In PLM-CLA, we leveraged multi-source pre-trained protein language models (PLMs), which were trained on large-scale protein sequences from multiple database sources, including ProtT5-BFD, ProtT5-UR50, ProstT5, and ESM-2. …”
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DETERMINATION OF CHEWING EFFICIENCY IN PATIENTS WITH RESTORED TOOTH CROWN PART by V.V. Nikolov, D M. Korol, D.D. Kindiy, M.D. Korol

“…It is offered in several size options. Mastication efficiency state after prosthesis was determined with the help of mastication test (Ukrainian Utility Patent # 94841). …”
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BoxesZero: An Efficient and Computationally Frugal Dots-and-Boxes Agent by Xuefen Niu, Qirui Liu, Wei Chen, Yujiao Zheng, Zhanggen Jin

“…This novel agent, BoxesZero, can achieve a high level of playing strength much faster than AlphaZero, substantially improving the model’s learning efficiency. With carefully tuned parameters and limited GPU resources, BoxesZero surpasses the strongest open-source Boxes agents, PRsboxes and DabbleBoxes. …”
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Secure and efficient graduate employment: A consortium blockchain framework with InterPlanetary file system for privacy-preserving resume management and efficient talent-employer m... by Chin-Ling Chen, Kuang-Wei Zeng, Hsing-Chung Chen, Yong-Yuan Deng, Chin-Feng Lee, Der-Chen Huang, Ling-Chun Liu

“…The proposed system facilitates a symbiotic relationship between educational institutions and industry partners, allowing students to identify suitable employment opportunities while enabling companies to source candidates with requisite expertise efficiently. …”
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Two-stage power system restoration model by Hong Yang, Zhen Tang, Wei Wang, Zhihang Xue

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A comprehensive review of smart energy management systems for photovoltaic power generation utilizing the internet of things by Challa Krishna Rao, Sarat Kumar Sahoo, Franco Fernando Yanine

“…A critical challenge in demand-side energy management lies in optimizing the integration of renewable resources while maintaining cost efficiency and minimizing energy losses. Therefore, strategic planning for the integration of renewable energy sources is imperative. …”
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Transboundary Dispersal Dynamics of <i>Ceracris kiangsu</i>: From Source Regions to Migration Corridors by Yangyang Li, Ting Du, Jun Yao, Yunsen Chen, Lei Shi, Sangzi Ze

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Utilization of natural products in diverse pathogeneses of diseases associated with single or double DNA strand damage repair by Jiali Liang, Wanqing Liu, Tong Zhang, Dean Guo, Jiyu Gong, Zizhao Yang

“…By reviewing how different scholarly sources describe identical structures using varied terminology, this study also delves into their effects on enzyme regulation. …”
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Stress Tolerance and Organic Acid Productivity of Fungal Strains Isolated from Local Agricultural Sources by Christopher Osazuwa

“…Abstract Fungal diversity enhances industrial bioprocess efficiency and innovation. This study was aimed at isolating stress-tolerant fungal strains from local agricultural sources and evaluating their organic acid productivity. …”
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Power Quality in the Context of Aircraft Operational Safety by Tomasz Tokarski, Sławomir Michalak, Barbara Kaczmarek, Mariusz Zieja, Tomasz Polus

“…Currently, the PAF utilize various types of GPUs to provide electrical power to aircraft while they are on the ground. …”
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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

“…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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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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Sustainable utilization of wild fruits and respective tree byproducts as partial feed ingredients or supplements in livestock rations by Prince Chisoro, Prince Chisoro, Bulelani Mazizi, Ishmael Festus Jaja, Ishmael Festus Jaja, Never Assan, Never Assan, Thobela Nkukwana

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Utilization of the experimental data to test ionic water/graphene nanofluids for solar applications by means of CVFEM simulation by Abeer S. Alnahdi, Muhammad Sulaiman, Malik Zaka Ullah, Taza Gul

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Design and Testing of a Small-Scale Composting Facility for Sheep Manure Utilizing Aeration and Thermal Treatment by Jian Wang, Kailin Ren, Longfei Zhang

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Comprehensive Monitoring of Construction Spoil Disposal Areas in High-Speed Railways Utilizing Integrated 3S Techniques by Xiaodong Hu, Bo Xia, Yongqi Guo, Yang Yin, Huihua Chen

“…This study contributes to the efficient utilization of construction spoil and the sustainable development of high-speed railway projects.…”
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Utilizing Sargassum polycystum as Co-Feedstock to Enhance Methane Yield from Pig Dung in Anaerobic Digestion by Earl Francis A Busilaoco, Wendyl M Aligato, Jan Nico R Gaslang, Hyrn G Almoroto, Kristine Yhuri A Libreta, Mervy Aretha Deon L Loon, Camella A Redulla, Darius Miguel Pederes, Angela Glaiza B Pingcas, Rovie Joice M Durante, Ricksterlie C Verzosa

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Utilization of cinnamon Cinnamomum burmannii leaves and shrimp head in the feed on growth performance of catfish Pangasianodon hypopthalmus by Suclyadi Dairun, Mia Setiawati, Muhammad Agus Suprayudi, Nur Bambang Priyo Utomo

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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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