Uncovering mathematical activities and concepts in Batik Pendekar of Madiun City through the lens of ethnomathematics by Ika Krisdiana, Titin Masfingatin, Wasilatul Murtaifiah, Febriana Nor Fadhilla, Gerald DG. Mabuti

“…The findings reveal that artisans engage in meaningful mathematical practices, such as measuring fabric dimensions, counting dye usage and production costs, and designing motifs based on geometric principles. …”
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Evaluation of the Blend in Bagasse Ash-Quarry Dust Stabilization of Expansive Soils for Road Pavement. by Tumwesigire, Osbert

“…Traditional stabilizers like cement, lime and others have been efficient and effective in soil stabilization but their rising costs and negative impact to the environment has led to research into bagasse ash and quarry dust to be used as alternatives in soil stabilization. …”
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Effect of Diseases on Livestock Animals in Kahungye Sub-County Kabale District. by Tibasiima, Charity

“…The effects included a 45% reduction in livestock productivity and increased veterinary costs, resulting in economic losses for farmers. …”
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Monetary Incentives and Labour Performance; A Case Study of Coffee Factories in Rukungiri District. by Edward, Muhwezi Bendera

“…Coffee Factories also needed to retain top-performing employees, motivate the desired performance, and control costs.…”
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Facilities management and quality of teaching and learning at a multi- campus public university in Uganda by Eden, Akategeka, Denis, Sekiwu, Frederick, Ssempala

“…Fourth, several challenges affected facilities management and these included limited funding, incompetent staff, unaffordable maintenance costs, delayed response to facilities management among other challenges. …”
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Profitability of a Backyard Grafted Mango Nursery in Mati by Nelson Dulzura, Eduardo Purisima, Rosalio Estrera, Teresita Escasinas, Christine Garaza, Emma Ruth Bayogan

“…The price of P 25.00 per grafted mango was pegged based on the costs incurred. The grafted mango seedlings were easily sold on cash basis making it possible to recover the initial capital invested. …”
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Prediction of Student Academic Performance Utilizing a Multi-Model Fusion Approach in the Realm of Machine Learning by Wei Zou, Wei Zhong, Junzhen Du, Lingyun Yuan

“…The digitization of college student management is a crucial approach for training institutions to decrease management costs while enhancing the quality of students’ development. …”
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A Hybrid Evolutionary Fuzzy Ensemble Approach for Accurate Software Defect Prediction by Raghunath Dey, Jayashree Piri, Biswaranjan Acharya, Pragyan Paramita Das, Vassilis C. Gerogiannis, Andreas Kanavos

“…Software defect prediction identifies defect-prone modules before testing, reducing costs and development time. Machine learning techniques are widely used, but high-dimensional datasets often degrade classification accuracy due to irrelevant features. …”
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Efficient Soil Temperature Profile Estimation for Thermoelectric Powered Sensors by Jiri Konecny, Jaromir Konecny, Kamil Bancik, Miroslav Mikus, Jan Choutka, Jiri Koziorek, Ibrahim A. Hameed, Algimantas Valinevicius, Darius Andriukaitis, Michal Prauzek

“…This improvement significantly reduces the computational costs associated with the regression model, offering a more efficient approach to predicting soil temperature for the purpose of optimizing energy harvesting in IoT sensors.…”
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On QSPR analysis of pulmonary cancer drugs using python-driven topological modeling by Huiling Qin, Mazhar Hussain, Muhammad Farhan Hanif, Muhammad Kamran Siddiqui, Zahid Hussain, Mohamed Abubakar Fiidow

“…This work marked the transformation in accelerating the math involved in drug discovery to reduce such research costs.…”
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Nanoparticles for Sustainable Agriculture: Assessment of Benefits and Risks by Mohammed Bouhadi, Qaiser Javed, Monika Jakubus, M’hammed Elkouali, Hassan Fougrach, Ayesha Ansar, Smiljana Goreta Ban, Dean Ban, David Heath, Marko Černe

“…We also address the broader environmental and socioeconomic implications of the widespread use of NPs in agriculture, critically evaluating their ecotoxicity, impacts on biodiversity, and the associated economic costs and benefits. Finally, we offer a perspective on future directions for research, including emerging trends in NPs synthesis and characterization, challenges to sustainable implementation, and the prospects for large-scale deployment of nanotechnology-enabled agricultural solutions. …”
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PixelQuery: Efficient Distance Range Join Query Technique for Visualization Analysis by Bo Pang, Zebang Liu, Wei Xiong, Mengyu Ma

“…It directly computes the display values of query results within the viewport, substantially lowering computational costs. Experiments conducted on datasets of varying scales demonstrate that this method can handle visualization queries involving tens of millions of elements on a standard laptop, with a maximum processing time of only 7.64 s. …”
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Optimal PV‐storage capacity planning for rail transit self‐consistent energy systems considering extreme weather conditions by Siyu Guo, Liuyang Cai, Haiyi Wu, Guanghui Song, Li Lin, Yanbo Chen

“…Subsequently, an optimal planning model for a hybrid energy storage system (HESS) is proposed to minimize the total HESS investment and rail transit system operation costs. Finally, the model is linearized as mixed‐integer linear programming and solved using Gurobi and the Yalmip toolbox. …”
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Risk-Aware Vessel Scheduling and Routing Optimization with CVaR and LSTM-MSNet Prediction by Zhichao Cao, Zhiwei Zhu, Weike Lu, Silin Zhang

“…We account for vessel deployment, chartering costs, delay penalties, fuel expenses, and weather conditions to ensure the model’s compatibility with the practical transporting environment. …”
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Benchmarking Spiking Neural Network Learning Methods With Varying Locality by Jiaqi Lin, Sen Lu, Malyaban Bal, Abhronil Sengupta

“…Traditional approaches, such as Backpropagation Through Time (BPTT), have shown effectiveness but come with additional computational and memory costs and are biologically implausible. In contrast, recent works propose alternative learning methods with varying degrees of locality, demonstrating success in classification tasks. …”
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Forecasting the vapor pressure deficit in vertical farming facilities aiming to provide optimal indoor conditions by Carlos Alejandro Perez Garcia, Dafni Despoina Avgoustaki, Enrica Santolini, Daniele Torreggiani, Thomas Bartzanas, Patrizia Tassinari, Marco Bovo

“…The model, demonstrating satisfactory performance in predicting VPD, enables optimization of indoor growth conditions, thereby improving resources use efficiency and minimizing operational costs. Finally, it indicates a promising application of advanced artificial intelligence tools in vertical farming management to establish a sustainable and economically feasible agricultural practice since the model can help to produce high quality crops through a precise control of environmental parameters. …”
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Usage Level of Wheat Varieties and Problems in Agricultural Farms: A Case Study for Burdur and Isparta Province by Hülya Gül, Mevlüt Gül, Sultan Acun, Sinem Türk Aslan, Ayşe Öztürk, Burhan Kara, Zekeriya Akman

“…Farmers pointed out that the development of wheat production can be provided by reducing the input costs such as; fertilizer, fuel, pesticide etc. The 97.3% of the wheat growing farms in the region make the seed dressing. …”
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Trifunctional local-range order oxygen structure enhanced strength-ductility and fatigue resistance in large-scale metastable titanium alloy by Yamei Mao, Qinyang Zhao, Runqi Zhang, Ping Guo, Yongnan Chen, Yongqing Zhao

“…Our findings provide a scalable, practical route to superior mechanical properties for Ti alloys without costly alloying elements.…”
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Handling the challenge of antimicrobial resistant superbugs in the clinical setting: nursing staff as a pivotal player by Marco Coppi, Ilaria Baccani, Claudia Niccolai, Alberto Antonelli, Tommaso Giani, Gian Maria Rossolini

“… Bacterial resistance to antibiotics (antimicrobial resistance, AMR) is spreading globally among major Gram-positive and Gram-negative bacterial pathogens (including staphylococci, enterococci, Enterobacterales, Pseudomonas aeruginosa and Bacterial resistance to antibiotics (antimicrobial resistance, AMR) is rapidly spreading globally among major Gram-positive and Gram-negative bacterial pathogens (including staphylococci, enterococci, Enterobacterales, Pseudomonas aeruginosa, and Acinetobacter baumannii); this phenomenon has a remarkable impact on morbidity, mortality and healthcare-associated costs. Evolution and dissemination of AMR can be counteracted with a combined strategy based on i) antimicrobial stewardship programs aimed at a prudent and appropriate use of antibiotics to improve clinical outcomes and reduce the selective pressure for resistance; and ii) infection prevention and control (IPC) practices, to limit the spread of resistant pathogens within the healthcare settings. …”
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Slope inspection under dense vegetation using LiDAR-based quadrotors by Wenyi Liu, Yunfan Ren, Rui Guo, Vickie W. W. Kong, Anthony S. P. Hung, Fangcheng Zhu, Yixi Cai, Huajie Wu, Yuying Zou, Fu Zhang

“…Traditional manual inspections are costly and difficult due to steep terrains and dense vegetation. …”
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