The Effect of Combined Application of Rhodochrosite Slag and Biochar on Cadmium Uptake in Rice by Jing He, Zhixi Ye, Fugui Chen, Wentao Zhou, Xin Ma, Zhiqiang Fu

“…Cadmium (Cd) contamination in paddy soils severely threatens rice safety and human health. Currently, the high costs and technical barriers of existing Cd remediation methods limit their development, so it’s urgent to find an economical and feasible method. …”
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A Position- and Similarity-Aware Named Entity Recognition Model for Power Equipment Maintenance Work Orders by Ziming Wei, Shaocheng Qu, Li Zhao, Qianqian Shi, Chen Zhang

“…Next, a novel position- and similarity-aware attention module is proposed, where an innovative position embedding method and attention score calculation are designed to improve the model’s contextual understanding while keeping computational costs low. Further, with this module as the main body, combined with the BERT-wwm-ext and conditional random field (CRF) modules, an efficient NER model is jointly constructed. …”
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Pinene-Based Chiral Bipyridine Ligands Drive Potent Antibacterial Activity in Rhenium(I) Complexes by Justine Horner, Gozde Demirci, Aurelien Crochet, Aleksandar Pavic, Olimpia Mamula Steiner, Fabio Zobi

“…Antimicrobial resistance (AMR) poses a critical global health threat by rendering existing antibiotics ineffective against infections, leading to increased mortality, prolonged illnesses, and higher healthcare costs. Developing new antibiotics is essential to combat resistant pathogens, safeguard modern medical procedures, and prevent a return to a pre-antibiotic era where common infections become untreatable. …”
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A Multi-Kernel Mode Using a Local Binary Pattern and Random Patch Convolution for Hyperspectral Image Classification by Wei Huang, Yao Huang, Zebin Wu, Junru Yin, Qiqiang Chen

“…In order to improve classification performance while reducing costs, this article proposes a multikernel method based on a local binary pattern and random patches (LBPRP-MK), which integrates a local binary pattern (LBP) and deep learning into a multiple-kernel framework. …”
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Solar dryers: A review of mechanism, methods and critical analysis of transport models applicable in solar drying of product by Onyinyechi Nnamchi, Cyprian Tom, Godwin Akpan, Murphy Umunna, David Ubong, Mathew Ibeh, Adindu Linus–Chibuezeh, Leonard Akuwueke, Stephen Nnamchi, Augustine Ben, Macmanus Ndukwu

“…Solar drying has been demonstrated to be a sustainable and eco-friendly drying process for drying and preserving agricultural products, offering advantages over traditional methods that include faster drying rates, improved product quality, and reduced energy costs. This review examines the mechanisms and methods applicable to solar drying, including indirect and direct solar drying, hybrid systems combining solar drying with other heating sources, and thermal storage materials to address challenges such as intermittent solar radiation. …”
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Effects of free maternity care on beneficiary satisfaction: Multicentre study conducted in the Binza Météo Health Zone, Kinshasa, Democratic Republic of the Congo by Joel KAFUMBI, M. F. Mumvudi, M. N. Lufwa, N. S. D. Mabakutuvangilanga

“…However, many difficulties remain, including indirect costs (e.g., transportation, drugs, and ultrasound scans), overloaded infrastructure and healthcare staff, and challenges related to hygiene and resource availability. …”
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Simulation and Optimization of Gas Fractionation Process in Refinery by Dan ZHAO, Yanjuan WANG, Xianliang PAN, Jian ZHANG, Haotian YE

“…pressure double tower propane removal process can save 56.12% of steam load compared to the original process, save 49.83% of hot water load in the ethane removal tower compared to before optimization, reduce total energy consumption by 235.4 kW, and save about 339.71 yuan in thermal utility costs per hour.…”
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Multi-objective optimization of EMS facilities using multi-source data: A case study in Dangtu, China by Jinze Li, Xiao Wang, Qiyan Zhang, Peng Tang

“…This framework uses corroborative multi-source data to analyze current EMS facilities and suggests improvements through preservation, expansion, and new facility introduction, carefully considering construction costs, resident usage efficiency, and access equity. …”
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Hybrid Learning Model of Global–Local Graph Attention Network and XGBoost for Inferring Origin–Destination Flows by Zhenyu Shan, Fei Yang, Xingzi Shi, Yaping Cui

“…Origin–destination (OD) flows are essential for urban studies, yet their acquisition is often hampered by high costs and privacy constraints. Prevailing inference methodologies inadequately address latent spatial dependencies between non-contiguous and distant areas, which are useful for understanding modern transportation systems with expanding regional interactions. …”
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Continuous Monitoring of Recruits During Military Basic Training to Mitigate Attrition by Robbe Decorte, Jelle Vanhaeverbeke, Sarah VanDen Berghe, Maarten Slembrouck, Steven Verstockt

“…Attrition, or the voluntary departure of recruits from the military, often results from physical and psychological challenges, such as fatigue, injury, and stress, which lead to significant costs for the military. To better understand and mitigate attrition, we designed and implemented a comprehensive and continuous data-capturing methodology to monitor 63 recruits during their basic infantry training. …”
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Exploring Gelatin‐A and Mouse Proline‐Rich Protein 5 as Probes for Wine Polyphenol Analysis by Quartz Crystal Microbalance with Dissipation Monitoring by Giorgia Tori, Mariacristina Gagliardi, Francesco Lunardelli, Chiara Sanmartin, Isabella Taglieri, Gianmarco Alfieri, Margherita Modesti, Domenica Convertino, Andrea Bellincontro, Fabio Mencarelli, Marco Cecchini

“…Traditionally, the wine polyphenolic content is assessed through conventional analytical methods, which are costly and time‐consuming. Thus, developing novel strategies to overcome these limitations is highly desirable. …”
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Heron, a Knowledge Graph editor for intuitive implementation of Python-based experimental pipelines by George Dimitriadis, Ella Svahn, Andrew F MacAskill, Athena Akrami

“…Heron supports the integration of software and hardware combinations that are otherwise too complex or costly, making it especially useful in experimental sciences with a large number of interconnected components such as robotics, neuroscience, behavioural sciences, physics, chemistry, and environmental sciences. …”
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Exploring the awareness of organic food consumption in Algeria: a gender based-study by Chems Eddine Boukhedimi, Abderrahmane Batache, Noureddine Sahali, Yacine Redjouani

“…Organic foods can be more expensive than conventionally produced meals, but many people believe the advantages exceed the costs. This study has an aim to check the impact of gender of respondents on the awareness to use organic foods. …”
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Determining the Critical Nitrogen Application Rate for Maximizing Yield While Minimizing NO₃⁻-N Leaching and N₂O Emissions in Maize Growing on Purp... by Yuanyuan Liu, Yuanxue Chen, Dandan Peng, Huabin Lu, Ting Shuai, Ying Quan, Chunling Zeng, Kaiwei Xu

“…Optimization of nitrogen (N) fertilizer application is essential to achieve higher crop yields at lower environmental costs. This study investigated the impacts of N application rates (0, 180, and 360 kg N ha⁻¹) on maize productivity, N use efficiency (NUE), NO₃⁻-N leaching, cumulative N₂O emissions, and N surplus in maize growing in the purple soil of Southwest China through a 2-year field study. …”
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Legged Robot with Tensegrity Feature Bionic Knee Joint by Qi Wen, Meiling Zhang, Jianwei Sun, Weijia Li, Jinkui Chu, Zhenyu Wang, Songyu Zhang, Luquan Ren

“…However, the focus on continuously improving the joint motors and control systems of existing legged robots not only increases costs and complicates maintenance but also results in failure to accurately mimic the functionality of the human skeletal‒muscular system. …”
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Characterisation of Organomineral Fertilisers Derived from Nutrient-Enriched Biosolids Granules by Diogenes L. Antille, Ruben Sakrabani, Sean F. Tyrrel, Minh S. Le, Richard J. Godwin

“…This research utilises novel technology to improve the fertiliser value of biosolids, reduce disposal costs, and deliver a range of environmental benefits associated with recycling.…”
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Parent–Child Adaptive Responses for Digital Resilience by John P. Ziker, Jerry Alan Fails, Kendall House, Jessi Boyer, Michael Wendell, Hollie Abele, Letizia Maukar, Kayla Ramirez

“…Cultural domain maps and interview results identify and classify perceptions of costs, benefits, and risks, including intrinsic and extrinsic sources of risk and risk tangibility. …”
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A Comprehensive Approach to Residual Value Analysis in the Luxury Automotive Market by A. Ghibellini, A. Scioletti, M. Coletto, L. Bononi, M. Gabbrielli

“…A high RV translates into lower overall ownership costs, as the car retains more of its value over time, which can boost demand as well as leasing margin. …”
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BlockArc: A Blockchain Based Smart Contract for Reward System in E-Commerce by Pooja Patil, Aryan Singh, Aryan Raut, Aakash Sharma, Adarsh Rathod

“…A performance evaluation demonstrated 112 transactions per second (TPS) under moderate load, fraud detection accuracy of 100%, and a 37% reduction in operational costs by eliminating intermediaries. User satisfaction surveys indicated high levels of trust and transparency. …”
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How does environmental tax reform drive corporate innovation to green technologies? Quasi-natural experimental evidence from China by Hui Hu, Yuqi Zhu, Lin Ye, Yulong Wang

“… How to motivate enterprises to formulate green technology (GT) innovation is crucial for promoting green development and minimizing pollution control costs. This research employs a quasi-experimental approach to analyze the impact of environmental tax reform (ETR) on corporate innovation decisions. …”
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