Toward Predictive Maintenance for Aerospace Hot Press Furnace and the Current Monitoring With Machine Learning by Chandra Wijaya, Jing-Zhang Liu, I-Jan Wang, Jen-Kai King, Chao-Tung Yang

“…Ultimately, this implementation makes autoclaves more reliable, longer-lasting, and more efficient, while minimizing maintenance costs, as well as energy consumption and carbon emissions. …”
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Multi-objective particle swarm optimization algorithm-based method for optimal placement and sizing of distributed generations and shunt capacitors in a radial distribution network by Pinank Patel, Nagaraj Patil, Ahmed Mohsen, Aditya Kashyap, Nofal Adrees Hasan, Karthikeyan A, Dhirendra Nath Thatoi, Deepak Gupta, Alireza kamranfar

“…The objective function, which includes power losses, voltage profile enhancement, and related costs, is optimized through the Multi-Objective Particle Swarm Optimization (MOPSO) method. …”
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Willingness To Pay (WTP) Wisatawan dalam Pelestarian Lingkungan Paska Perubahan Cagar Alam Kamojang ke Taman Wisata Alam Kamojang by Purna Hindayani, Alnidi Safarach Bratanegara, Armandha Redo Pratama

“…All of  the independent variables such as gender, age, income, education, travel costs during the tour affected the willingness to pay (WTP). …”
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A neural network-based method for input parameter optimization of edge transport modeling utilizing experimental diagnostics by Y. Luo, S. Xu, Y. Liang, E. Wang, J. Cai, Y. Feng, D. Reiter, A. Knieps, S. Brezinsek, D. Harting, M. Krychowiak, D. Gradic, P. Ren, D. Zhang, Y. Gao, G. Fuchert, A. Pandey, M. Jakubowski, the W7-X Team

“…This neural network-based method significantly reduces computational costs and the need for manual parameter tuning, and it can be generalized to other similar modeling codes.…”
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Potassium Dichromate Detection: Carbon Quantum Dot-based Fluorescent “Turn-Off” Nanoprobe Design by Priti Sharma, Sopan Nangare, Rahul Tade, Pravin Patil, Sanjkumar Bari, Dipak Patil

“…Conventional sensing methods, known for their poor sensitivity, low selectivity, and high costs, highlight the need for improved detection methods. …”
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Impact of economic growth patterns on carbon quota allocation by industry in China: extensive or intensive by Lang Tang, Peng Wang, Xiaoyu Liu, Songyan Ren, Haihua Mo, Hai Tao, Jiabao Cao

“…The results indicate that the innovation-driven scenario, representing intensive growth, achieves a win-win outcome compared to other scenarios by enhancing GDP and avoiding additional carbon reduction costs. The initial carbon emission efficiency in agriculture, chemicals, steel, electronics, water supply, and services all reached 1. …”
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Assessment of CAR-T Cell-Mediated Cytotoxicity in 3D Microfluidic Cancer Co-Culture Models for Combination Therapy by Karla Paterson, Sarah Paterson, Theresa Mulholland, Seth B. Coffelt, Michele Zagnoni

“…Classical 2D <italic>in vitro</italic> models fail to recapitulate the complexity of the tumour microenvironment, whilst <italic>in vivo</italic> models, such as patient-derived xenografts, are costly and labour intensive. Microfluidic technologies can provide miniaturized solutions to assess CAR-T therapies in 3D complex preclinical models of solid tumours. …”
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Route Optimization for UGVs: A Systematic Analysis of Applications, Algorithms and Challenges by Dario Fernando Yépez-Ponce, William Montalvo, Ximena Alexandra Guamán-Gavilanes, Mauricio David Echeverría-Cadena

“…Fifty-seven percent of the recent studies focus on UGV optimization, with prominent applications in agriculture, aiming to maximize efficiency and reduce costs. Heuristic algorithms, such as Humpback Whale Optimization, Firefly Search and Particle Swarm Optimization, are commonly employed to solve complex search problems. …”
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Physics field super-resolution reconstruction via enhanced diffusion model and fourier neural operator by Yanan Guo, Junqiang Song, Xiaoqun Cao, Chuanfeng Zhao, Hongze Leng

“…However, traditional numerical methods often entail high computational costs, involve complex data processing, and struggle to capture fine-scale high-frequency details. …”
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A Hybrid Automata-Driven Machine Learning Framework for Real-Time Energy Optimization in Smart Buildings by Rikame Rajashri, Ranjan Mritunjay Kr., Jadhav Monali, Wankhede Shrushti, Bankar Sakshi, Bachhav Pranjal

“…Not only does the framework optimize the use of resources, but also it minimizes carbon footprint as well as costs of operation for a more efficient and sustainable smart city infrastructure.…”
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Biomaterials for bone infections: antibacterial mechanisms and immunomodulatory effects by Haoran Wang, Hongxia Li, Shengnan Jin, Fang Yan, Xiaoyu Qu, Xi Chen, Zishan Peng, Linping Wang, Junying Li, Yang Liu, Yang Liu

“…Among these, bone infection is considered one of the most challenging clinical infections due to its high recurrence rate, bacterial resistance, high incidence, and substantial treatment costs. However, these challenges underscore the urgent need for clinicians to develop novel therapeutic strategies to improve the current cure rate and reduce the mortality associated with bone infections. …”
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Inverse Design of Plasmonic Nanostructures Using Machine Learning for Optimized Prediction of Physical Parameters by Luana S. P. Maia, Darlan A. Barroso, Aêdo B. Silveira, Waleska F. Oliveira, André Galembeck, Carlos Alexandre R. Fernandes, Dayse G. C. Bandeira, Benoit Cluzel, Auzuir R. Alexandria, Glendo F. Guimarães

“…The results indicate that machine learning models are promising tools for optimizing the design and characterization of plasmonic nanostructures, thus reducing the need for costly experimental techniques.…”
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Generalized anxiety disorder patients' cognitive control in affective contexts by Yuqi Shen, Shasha Zhu, Shasha Zhu, Shiqi Liao, Yuqing Zhao, Yuqing Zhao, Zihan Lin, Ke Jiang, Wenjing Yan, Xinhua Shen, Xinhua Shen

“…Additionally, GAD patients demonstrated deficits in affective shifting, as indicated by significantly higher shifting costs in both non-affective and affective tasks compared to the healthy control group.ConclusionsThe findings reveal that GAD patients display poorer emotion recognition abilities, indicating deficits in affective control compared to healthy individuals. …”
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Identification of anaerobic bacterial strains by pyrolysis-gas chromatography-ion mobility spectrometry by Tim Kobelt, Jonas Klose, Rumjhum Mukherjee, Rumjhum Mukherjee, Martin Lippmann, Szymon P. Szafranski, Szymon P. Szafranski, Meike Stiesch, Meike Stiesch, Stefan Zimmermann

“…While techniques such as phenotypic systems and MALDI-TOF-MS offer faster results, they remain limited by costs, and operational constraints. To address these challenges and cater to the need for rapid identification of bacteria, we present a system for identification and classification of anaerobic bacteria as a first example. …”
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Retrospective multicenter study on severely dysplastic melanocytic nevi: evaluating the need for re-excision and the risk of recurrence or progression by Cesare Ariasi, Carlo Cota, Cesare Massone, Carmine D'Acunto, Pietro Danese, Maurizio Lombardo, Davide Melandri, Francesca Scarpellini, Rosa Rinaldi, Paola Pasquini, Paolo Incardona, Piergiacomo Calzavara-Pinton, Paola Monari

“…Avoiding unnecessary surgical procedures could reduce patient anxiety, healthcare costs, and surgical morbidity. Given the lack of standardized guidelines, further prospective studies are needed to refine clinical decision-making for SMD management. …”
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A novel dual-functional catalyst-stirrer system based on modified galvanized mesh for the Biginelli reaction by Mojtaba Nouri, Reza Dadashi, Karim Akbari Dilmaghani, Morteza Bahram, Masoud Faraji

“…This innovative system simplifies the reaction setup, reduces costs, and aligns with green chemistry principles by minimizing waste and energy consumption. …”
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DEVELOPING AN EFFICIENT AIR PURIFICATION SYSTEM: FOCUS ON AIRBORNE DISEASE AND ALLERGEN CONTROL by Ali Samir A., Hasan Jumaah Mrayeh, Salih Meri Al-Absi, Gabriella Bognar Vadászné, Alaa Alrudhan Abed

“…However, this was overruled by the need to reduce costs and increase power. Future recommendations and next steps include adding more advanced electrical control components, considering the effectiveness of UVC light specifically against COVID-19, soundproofing the design, and other minor changes to improve the system.…”
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The importance of renewable energy consumption and CO₂ emissions in formulating Sustainable Development Index: An economic-environmental analysis based on the ARDL model by Dilshod Karimboev, Yulduz Yaqubova, Intizor Matkarimova, Majidbek Jabbarov, Inomjon Matkarimov, Erkinbay Ismailov, Anvar Matnazarov

“…Conversely, renewable electricity generation has a significant negative impact in the long run (–0.0153, p &lt; 0.01), which may be due to initial high transformation costs and short-term economic adjustments. CO₂ emissions did not have a statistically significant impact on the Sustainable Development Index. …”
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Using different statistical models to estimate the optimal methionine+cysteine to lysine ratio for male Cobb500 broilers: Growth performance, body composition, and meat yields by Gustavo A.C.C. de Aguiar, Mariana A. do Nascimento, Nathana R. Furlani, Warley J. Alves, Gabriel S. Viana, Victor D. Naranjo, Melissa I. Hannas

“…Additionally, these adjustments provide economic benefits by lowering feed costs and producing meat with less fat, resulting in a higher-quality product. …”
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Automatic Ladle Tracking with Object Detection and OCR in Steel Melting Shops by Kabil Murugan, Mahinas Senthilmurugan, Venbha V. Senthilkumar, Harshita Velusamy, Karthiga Sekar, Vasanthan Buvanesan, Manikandan Venugopal

“…The currently used technologies for ladle tracking, including Radio Frequency Identification (RFID) systems, are not effective due to their high maintenance costs and poor performance in harsh conditions, leaving a significant gap in developing an automated ladle tracking system. …”
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