Preliminary Study on Wave Energy Plants for the Leeward Islands of Cabo Verde by Wilson Madaleno Léger Monteiro, António José Nunes de Almeida Sarmento

“…ut), were analyzed alongside environmental considerations to identify the most suitable technology for wave power plants. The Monte Carlo method was applied to account for uncertainties in technology costs and their effect on LCOE values. …”
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Estimation of fertilizer use efficiency in vegetable systems using 15N: an overview by Laura Jalpa, Rao S. Mylavarapu

“…Key takeaways from the 15N fertilizer studies emphasize the importance of improving N management strategies that optimize the source, placement, timing, and rate of N application to improve FNUE, minimize N pollution, and reduce reliance on economically prohibitive remediation approaches. …”
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A novel interval valued bipolar fuzzy hypersoft topological structures for multi-attribute decision making in the renewable energy sector by Muhammad Imran Harl, Muhammad Saeed, Muhammad Haris Saeed, Muhammad Salman Habib, Seung-June Hwang

“…The algorithm is applied to select optimal renewable energy source based on their economic, environmental, and technical aspects. …”
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Applicability of Different Assimilation Algorithms in Crop Growth Model Simulation of Evapotranspiration by Jingshu Wang, Ping Li, Rutian Bi, Lishuai Xu, Peng He, Yingjie Zhao, Xuran Li

“…Then, based on the ‘localization’ of the CERES-Wheat model, the fused results were incorporated into the data assimilation process to further determine the optimal assimilation method. The results indicate that (1) ESTARFM ET can accurately capture the spatial details of SEBAL ET (R > 0.9, <i>p</i> < 0.01). (2) ESTARFM ET can accurately capture the spatial details of SEBAL ET (R > 0.9, <i>p</i> < 0.01). …”
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Raw-Data Driven Functional Data Analysis with Multi-Adaptive Functional Neural Networks for Ergonomic Risk Classification Using Facial and Bio-Signal Time-Series Data by Suyeon Kim, Afrooz Shakeri, Seyed Shayan Darabi, Eunsik Kim, Kyongwon Kim

“…To overcome these challenges, this paper proposes a Multi-Adaptive Functional Neural Network (Multi-AdaFNN), a novel method that integrates functional data analysis with deep learning techniques. …”
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Modeling Worldwide Tree Biodiversity Using Canopy Structure Metrics from Global Ecosystem Dynamics Investigation Data by Jin Xu, Kjirsten Coleman, Volker C. Radeloff, Melissa Songer, Qiongyu Huang

“…Our study provides an efficient and innovative method for using GEDI data to predict global tree species richness. …”
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A novel high-performance supercapacitor based on the innovated ternary CeO2@CoWO4/N-doped graphene nanocomposites by Bahareh Arasteh, Mehdi Shabani-Nooshabadi, Hanieh Ansarinejad

“…The present work used multiple steps method to fabrication the three component CeO2@CoWO4/N-doped graphene (CCNG) as active material for supercapacitor application for the first time. …”
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Measuring Catastrophic Forgetting in Cross-Lingual Classification: Transfer Paradigms and Tuning Strategies by Boshko Koloski, Blaz Skrlj, Marko Robnik-Sikonja, Senja Pollak

“…Additionally, we contrast parameter-efficient adapter methods with full-parameter fine-tuning. Our results show that IT generally performs better in the target language, whereas CLV more effectively preserves source-language knowledge across multiple cross-lingual transfers. …”
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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

“…The proposed OCO-2 SIF data reconstruction method in this study holds the potential to provide a more reliable SIF dataset. …”
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Religious Moderation Campaign Strategy in the Digital Era by Muhamad Arif, Moses Adeleke Adeoye, Mohd Kasturi Nor Abd Aziz

“…This approach leverages both traditional and digital methods to create impactful campaigns. …”
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A Unified Framework for Automated Testing of Robotic Process Automation Workflows Using Symbolic and Concolic Analysis by Ciprian Paduraru, Marina Cernat, Adelina-Nicoleta Staicu

“…Building on insights from these methods, we introduce a hybrid approach that optimizes test coverage and efficiency in specific cases. …”
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Cultivating Limnospira fusiformis from Lake Solenoye, Omsk by 10.21603/2074-9414-2023-4-2469, Olga P. Bazhenova

“…The study featured strain O9.13F of filamentous cyanoprokaryote L. fusiformis. The micropipette method made it possible to isolate pure culture from water samples taken from Lake Solenoye, Omsk, Russia, at the end of algae bloom. …”
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Biological Characterization and Fungicide Sensitivity of <i>Dactylobotrys graminicola</i> Causing Oat Spikelet Rot in China by Ruifang Jia, Na Wang, Zhengqiang Chen, Shengze Wang, Kejian Lin, Yuanyuan Zhang

“…Mycelium growth rate method was used to identify biological characteristics and in vitro fungicide screenings of <i>D. graminicola</i>. …”
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Enhancing heat recovery efficiency in chimney exhaust systems using thermoelectric generators – Thermal modeling and parametric analysis by Obeida Farhat, Mahmoud Khaled, Jalal Faraj, Khaled Chahine, Farouk Hachem, Cathy Castelain

“…Thermoelectric generators present an effective method for recovering and converting waste heat into useable electrical energy, therefore enhancing energy efficiency and sustainability. …”
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Applications of microbial induced calcium carbonate precipitation in historical architecture restoration – a mini review by Hairong Wang, Shuyuan Wang

“…The review also utilized bibliometric analysis, concludes that while MICP offers a promising, eco-friendly approach to heritage conservation, further research is crucial to optimizing strains, delivery methods, integration with other techniques, long-term performance, and safety/regulatory aspects.…”
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Russian Language Teachers in the Era of Artificial Intelligence: New Professional Identities by Wang Duo

“…New professional identities have been identified: from "knowledge source" to "learning content editor" and "teaching methodology optimizer," and from "academic worker" to "researcher utilizing and developing technologies." …”
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Automated Detection of Tailing Impoundments in Multi-Sensor High-Resolution Satellite Images Through Advanced Deep Learning Architectures by Lin Qin, Wenyue Song

“…While remote sensing enables large-scale monitoring, conventional methods relying on single-sensor data and traditional machine learning-based algorithm suffer from reduced accuracy in cluttered environments. …”
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Catalytic decomposition of ozone in air by Mn-modified zeolite molecular sieves by Haoyue CHEN, Zhuonan GUO, Yingshu LIU, Xiong YANG, David Youhong PUI, Ziyi LI

“…This study investigates the catalytic performance of modified zeolites for ozone decomposition by adjusting their topological structure, cation form, modification, and drying methods to enhance their adsorption and catalytic properties. …”
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Patient Participation in Healthcare Safety Practices: A Scoping Review by Shabnam Ghasemyani, Kobra Movalled, Shafi Habibi, Rahim Khodayari Zarnaq

“…Materials and Methods: A scoping review of the English-language literature published from 2000 to 2021 was performed. …”
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Trajectory of breastfeeding among Chinese women and risk prediction models based on machine learning: a cohort study by Yi Liu, Jie Xiang, Ping Yan, Yuanqiong Liu, Peng Chen, Yujia Song, Jianhua Ren

“…Abstract Background Breastfeeding is the optimal source of nutrition for infants and young children, essential for their healthy growth and development. …”
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