Ultrasonic radiomics-based nomogram for preoperative prediction of residual tumor in advanced epithelial ovarian cancer: a multicenter retrospective study by Shanshan Li, Qiuping Ding, Lijuan Li, Yuwei Liu, Hanyu Zou, Yushuang Wang, Xiangyu Wang, Bingqing Deng, Qingxiu Ai

“…A combination model integrating ultrasound radiomics and clinical variables was developed and externally validated. …”
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A framework for quantifying the multisectoral burden of animal disease to support decision making by Sara Lysholm, Sara Lysholm, Gemma L. Chaters, Gemma L. Chaters, Carlotta Di Bari, Carlotta Di Bari, Ellen C. Hughes, Ellen C. Hughes, Ben Huntington, Ben Huntington, Jonathan Rushton, Jonathan Rushton, Lian Thomas, Lian Thomas

“…This approach aligns with the One Health concept, which seeks to integrate and optimize the health of humans, animals and the environment. …”
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A multiresolution approach with method-informed statistical analysis for quantifying lymphatic pumping dynamics by Mohammad S. Razavi, Katarina J. Ruscic, Elizabeth G. Korn, Marla Marquez, Timothy T. Houle, Dhruv Singhal, Lance L. Munn, Timothy P. Padera

“…Here, we address this unmet need by integrating near-infrared fluorescence lymphangiography imaging with an innovative analytical workflow that combines data acquisition, signal processing, and statistical analysis to integrate traditional peak-and-valley analysis with advanced wavelet time-frequency analyses. …”
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Efficient calculation of self magnetic field, self-force, and self-inductance for electromagnetic coils with rectangular cross-section by Matt Landreman, Siena Hurwitz, Thomas M. Antonsen

“…The reduced model is derived by rigorous analysis of the singularity, regularizing the filament integrals such that they match the true high-dimensional integrals at high coil aspect ratio. …”
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Modeling and optimization of dyeing process of polyamide 6 and woolen fabrics with plum-tree leaves using artificial intelligence by Fatemeh Shahmoradi Ghaheh, Milad Razbin, Majid Tehrani, Leila Zolfipour Aghdam Vayghan, Mehdi Sadrjahani

“…The optimization results, employing ANN-GA integration, indicate that a concentration of 100 wt.%, time of 86.06 min, pH level of 8.28, and a temperature of 100 °C yield a K/S value of 10.21 for polyamide 6 fabric. …”
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Innovative strategies for valorization of byproducts from soybean industry: A review on status, challenges, and sustainable approaches towards zero-waste processing systems by Ahasanul Karim, Emmanuel Freddy Osse, Seddik Khalloufi

“…This study could inspire further research into innovative technologies for the comprehensive and integrated valorization of soy byproducts, aiming to mitigate food waste and enhance the sustainability of the soybean industry.…”
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AutoMEX: Streamlining material extrusion with AI agents powered by large language models and knowledge graphs by Haolin Fan, Junlin Huang, Jilong Xu, Yifei Zhou, Jerry Ying Hsi Fuh, Wen Feng Lu, Bingbing Li

“…Despite its affordability, adaptability, and user-friendliness advantages, MEX faces challenges in scaling for mass production due to limited process automation and fragmented domain knowledge, leaving gaps in end-to-end workflow integration. We propose AutoMEX, an innovative framework that integrates large language models (LLMs) as artificial intelligence (AI) agents to automate the MEX process to address these limitations. …”
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Monitoring the Maize Canopy Chlorophyll Content Using Discrete Wavelet Transform Combined with RGB Feature Fusion by Wenfeng Li, Kun Pan, Yue Huang, Guodong Fu, Wenrong Liu, Jizhong He, Weihua Xiao, Yi Fu, Jin Guo

“…The results indicate that the dataset integrating wavelet features achieved higher monitoring accuracy compared to the color and texture feature dataset. …”
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TEACHING AND ASSESSING INDEPENDENT LISTENING IN AN ONLINE COURSE FOR TRANSLATION MAJORS by Olga G. Kvasova, Nataliia K. Liamzina, Roksoliana I. Radchuk, Yulia I. Trykashna

“…The findings prove that a listening log is efficiently integrated into the processes of teaching as well as self- and teacher assessment. …”
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STFCropNet: A Spatiotemporal Fusion Network for Crop Classification in Multiresolution Remote Sensing Images by Wei Wu, Yapeng Liu, Kun Li, Haiping Yang, Liao Yang, Zuohui Chen

“…To address the issue, we propose a novel approach termed spatiotemporal fusion-based crop classification network (STFCropNet), which integrates high-resolution (HR) images with medium-resolution time-series (TS) images. …”
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Calibration of Low-Cost Capacitive Soil Moisture Sensors for Irrigation Management Applications by Ahmed A. Abdelmoneim, Christa M. Al Kalaany, Roula Khadra, Bilal Derardja, Giovanna Dragonetti

“…The resulting calibration function enhances the integration of such low-cost sensors into smart farming solutions. …”
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Association between magnesium depletion score and prevalence of hyperuricemia in American adults: a study based on NHANES 2007-2018 by Yongchun Xiao, Yong Mou, Yong Mou, Ping Wu, Ke Wang, Tianjun Chen, Zhiwan Chen, Hongsheng Lin, Hua Yang, Zhisheng Ji

“…BackgroundThe Magnesium Depletion Score (MDS) is a novel indicator that integrates multiple factors to assess systemic magnesium depletion. …”
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Optimization of Fused Deposition Modeling Parameters for Mechanical Properties of Polylactic Acid Parts Based on Kriging and Cuckoo Search by Yuan Yang, Yiyang Wang, Bowen Xue, Changxu Wang, Bo Yang

“…Latin hypercube sampling (LHS) was integrated to generate a limited experimental sample set. …”
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An NMR Study of the Bortezomib Degradation under Clinical Use Conditions by Adele Bolognese, Anna Esposito, Michele Manfra, Lucio Catalano, Fara Petruzziello, Maria Carmen Martorelli, Raffaella Pagliuca, Vittoria Mazzarelli, Maria Ottiero, Melania Scalfaro, Bruno Rotoli

“…After a month, the air filled samples showed the presence of two main degradation products (6% of starting material), the N-(1-(1-hydroxy-3-methylbutylamino)-1-oxo-3-phenylpropan-2-yl) pyrazine-2-carboxamide (BTZ1; 5%, determined from NMR integration) and the (S)-N-(1-(3-methylbutanamido)-1-oxo-3-phenylpropan-2-yl)pyrazine-2-carboxamide (BTZ2; 1%, determined from NMR integration), identified on the basis of their chemical and spectroscopic properties. …”
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Development of a respiratory virus risk model with environmental data based on interpretable machine learning methods by Shuting Shi, Haowen Lin, Leiming Jiang, Zhiqi Zeng, ChuiXu Lin, Pei Li, Yinghua Li, Zifeng Yang

“…Our model provides a reliable tool for predicting respiratory virus risks, with a comprehensive integration of environmental and clinical data. The model’s performance metrics indicate its potential utility in clinical decision-making and public health planning. …”
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Long-term planning optimisation of sustainable energy systems: A systematic review and meta-analysis of trends, drivers, barriers, and prospects by Soheil Mohseni, Alan C. Brent

“…The long-term planning and optimisation of renewable and sustainable energy systems is indispensable for the efficient allocation of finite resources, especially in the context of the growing deployment of localised and distributed energy generation systems. These integrated resource planning endeavours primarily aim to minimise total discounted system costs while adhering to a network of interconnected technical constraints, encompassing considerations of reliability, resilience, and the integration of renewable energy sources. …”
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Summary of Evidence on Nutritional Management for Patients Undergoing Chemotherapy by Xin Dan, Ya‐Lin He, Ya‐Lin Tian, Tang‐Lin Chen, Jia‐Yi Yu

“…The review highlights critical evidence gaps in nutritional therapy for advanced gastric cancer (AGC) patients undergoing systemic therapy, integrating findings from both prospective and retrospective studies. …”
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Effect of optimized food-based recommendations on nutrient intakes, hemoglobin levels, and memory performance of adolescent girls in East Java, Indonesia by Dini Suciyanti, Risatianti Kolopaking, Annasari Mustafa, Sugeng Iwan, Fiastuti Witjaksono, Umi Fahmida

“…Nutrition education with optimized FBR should be integrated into the school system together with weekly iron supplementation for anemia prevention among these adolescent girls. …”
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A novel wireless sensor network deployment for monitoring and predicting abnormal actions in medical environment and patient health state by R. Manikandan, S. Arunprakash, Rakan A. Alsowail, Tharani Pandiaraj

“…This study proposes a deep learning-based approach integrated with WSNs to address these challenges. The system employs deep convolutional neural networks (DCNNs) and long short-term memory (LSTM) models to automate healthcare functions such as patient monitoring, infrastructure management, and disease prediction. …”
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Transforming 5G Mega-Constellation Communications: A Self-Organized Network Architecture Perspective by Marius Corici, Marius Caus, Xavier Artiga, Alessandro Guidotti, Benjamin Barth, Tomaso de Cola, Justin Tallon, Hemant Zope, Daniele Tarchi, Fanny Parzysz, David Naseh, Swapnil Sadashiv Shinde

“…These innovations aim for a seamless integration of space-based networks with terrestrial counterparts, creating a robust, cost-effective convergent telecommunication system.…”
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