Associations of infection burden with Kawasaki disease in a population-based setting during 30 years by Johannes Mofors, Håkan Eliasson, Gunnar Bergman, Sven-Erik Sonesson, Marie Wahren-Herlenius, Göran Elinder, André Rudolph, Bodil Schiller

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Carbon dioxide emissions, forest area, and economic growth of SAARC countries: Evidence from FMOLS approach by Yadav Mani Upadhyaya, Khom Raj Kharel, Omkar Poudel, Pramshu Nepal

“…This study uses a panel dataset that spans South Asian countries from 1990 to 2020 for econometric analysis. …”
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Intelligent prediction and understanding of self-shrinkage in ultra-high performance concrete based on machine learning by Ji Hao, Wenbin Jiao, Xinpo Xie, Dula Man, Shengwei Huang

“…At the same time, the analysis of feature contributions across different model predictions clarified the impact of dataset quality on model outcomes and demonstrated the necessity of outlier detection and handling. …”
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Wind turbine blade damage detection based on acoustic signals by Chenchen Yang, Shaohu Ding, Guangsheng Zhou

“…Additionally, the mel-scale frequency cepstral coefficients (MFCCs) algorithm is utilized for feature extraction in the experimental dataset, forming training and test sets for the normal and abnormal datasets. …”
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DM-KD: Decoupling Mixed-Images for Efficient Knowledge Distillation by Jongkyung Im, Younho Jang, Junpyo Lim, Taegoo Kang, Chaoning Zhang, Sung-Ho Bae

“…To verify the effectiveness of the proposed method, we experiment on various datasets and mixed augmentation methods, demonstrating that the proposed method showed 0.31%-0.69% improvement in top-1 accuracy compared to the original KD method on theImageNet dataset.…”
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The causal impact of smoking behavior on osteoarthritis: a Mendelian randomization analysis by Qiang Xiao, Susu Dong, Yafen Tan, Xuan Zhang, Lu Yao, Qiuping Li, Tianli Wang

“…The discovery MR analysis involved 12 OA traits (177,517 cases and 649,173 controls) while the replication MR analysis incorporated an additional OA GWAS dataset consisting of 36,185 cases and 135,185 controls. …”
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A deep learning based model for diabetic retinopathy grading by Samia Akhtar, Shabib Aftab, Oualid Ali, Munir Ahmad, Muhammad Adnan Khan, Sagheer Abbas, Taher M. Ghazal

“…In our research, we have developed a deep neural network named RSG-Net (Retinopathy Severity Grading) to classify DR into 4 stages (multi-class classification) and 2 stages (binary classification). The dataset utilized in this study is Messidor-1. In preprocessing, we have used Histogram Equalization to improve image contrast and denoising techniques to remove noise and artifacts which enhanced the clarity of the fundus images. …”
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Exploring the Relationships Between Behavioural Biases and the Rational Behaviour of Australian Female Consumers by Abhishek Sharma, Chandana Hewege, Chamila Perera

“…Using a quantitative approach, a structural equation modelling (SEM) was conducted on the proposed theoretical framework with a cleaned dataset of 357 Australian female consumers, which revealed that behavioural biases significantly influence each stage of rational decision-making when making financial decisions. …”
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La villa gallo-romaine d’Entre Deux Cours à Laquenexy (Moselle) : bilan de trois opérations de fouille préventive et d’une campagne de prospection géophysique by Gaël Brkojewitsch, Sébastien Jeandemange, Guillaume Asselin, Valentina Bellavia, Pierre Caillat, Amélie Corsiez, Laurent Forelle, Sophie Galland, Linda Herveux, Marc Leroy, Sandrine Marquié, Paul Merluzzo, Alexia Morel, Cécile Pillard-Jude, Ludovic Trommenschlager, Julian Wiethold

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Capturing spatiotemporal variation in salt marsh belowground biomass, a key resilience metric, through geoinformatics by Kyle D. Runion, Deepak R. Mishra, Merryl Alber, Mark A. Lever, Jessica L. O'Connell

“…When we used this expanded calibration dataset and associated predictors to advance BERM, model error was reduced from a normalized root‐mean‐square error of 13.0%–9.4% in comparison with the original BERM formulation. …”
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Risk factors related to COVID-19. Turcios Lima Polyclinic. Pinar del Rio, 2020-2021 by Jorge Félix Rodríguez Ramos, Gema Chávez Ivizate, Raquel Piloto González

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Transferability Evaluation in Wi-Fi Intrusion Detection Systems Through Machine Learning and Deep Learning Approaches by Saud Yonbawi, Adil Afzal, Muhammad Yasir, Muhammad Rizwan, Natalia Kryvinska

“…However, the true challenge surfaces when the objective is to extend the transferability of these high-performing models to entirely novel, unseen datasets. This endeavor unravels a diverse performance landscape, demonstrating that the outstanding performance observed on a particular dataset doesn’t guarantee the transferability of features across dissimilar datasets nestled within different network environments. …”
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Effects of Dietary Strawberry Supplementation on Antioxidant Biomarkers in Obese Adults with Above Optimal Serum Lipids by Arpita Basu, Stacy Morris, Angel Nguyen, Nancy M. Betts, Dongxu Fu, Timothy J. Lyons

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The effect of preconception housing and living conditions on primary infertility among couples in Gaza Strip, Palestine: A case-control study by Amal DHAIR, Yehia ABED

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Morphological Characterization of Emerging Cercariae among Lymnaeid Snails from Barangay Cawongan, Padre Garcia, Batangas, Philippines by Gregorio L. Martin I, Esperanza C. Cabrera

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Is insomnia a risk factor for new-onset asthma? A population-based study in Taiwan by Shih-Feng Weng, Chih-Cheng Lai, Yu-Chieh Lin, Chih-Chiang Chien, Chin-Ming Chen, Shyh-Ren Chiang, Chung-Han Ho, Kuo-Chen Cheng

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The mutational landscape of Staphylococcus aureus during colonisation by Francesc Coll, Beth Blane, Katherine L. Bellis, Marta Matuszewska, Toska Wonfor, Dorota Jamrozy, Michelle S. Toleman, Joan A. Geoghegan, Julian Parkhill, Ruth C. Massey, Sharon J. Peacock, Ewan M. Harrison

“…Here we applied a genome-wide mutation enrichment approach to a genomic dataset of 3060 S. aureus colonization isolates from 791 individuals. …”
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Microbiome analysis in individuals with human papillomavirus oral infection by David Israel Escobar Marcillo, Grete Francesca Privitera, Francesca Rollo, Alessandra Latini, Eugenia Giuliani, Maria Benevolo, Massimo Giuliani, Barbara Pichi, Raul Pellini, Maria Gabriella Donà

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YOLO-TC: An Optimized Detection Model for Monitoring Safety-Critical Small Objects in Tower Crane Operations by Dong Ding, Zhengrong Deng, Rui Yang

“…The experimental results on both the PASCAL VOC benchmark and a custom dataset demonstrate that YOLO-TC outperforms baseline models, showcasing its robustness in identifying high-risk objects under challenging conditions. …”
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Assessing the irrigation water requirement and irrigation water use at a house scale in Las Vegas Valley by Rubab Saher, Thomas Ott

“…One of the primary reasons is the need for a high-resolution dataset to model the irrigation water requirement. …”
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