Growing-Related Changes in Arterial Properties of Healthy Children, Adolescents, and Young Adults Nonexposed to Cardiovascular Risk Factors: Analysis of Gender-Related Differences by S. Curcio, V. García-Espinosa, M. Arana, I. Farro, P. Chiesa, G. Giachetto, Y. Zócalo, D. Bia

“…The aims of our work were to determine normal aging rates for structural and functional arterial parameters in healthy children, adolescents, and young adults and to identify gender-related differences in these aging rates. …”
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Macroevolutionary processes in turtles (Testudines): a view from biomic specialization and historical climatic changes by Juan S. Thomas, Sara Gamboa, Manuel Hernández Fernández, Manuel Hernández Fernández, Oscar Murillo, Jonathan S. Pelegrin

“…Vrba suggests that lineages display varying tendencies toward generalism or specialization in biome occupancy, with a tendency towards the accumulation of specialists due to their higher rate of speciation through vicariance. It also posits differences in biome occupancy patterns driven by the environmental characteristics of biomes, with a higher presence of biome specialist species in biomes that are placed in the extremes of the global climatic gradients. …”
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Analysis of the Spatial Structure of Regional Enterprises and Its Impact on Regional Economic Development Based on the Data Envelopment Analysis Model (DEA) by Lei Wang, Yuan He, Tongwen Wang

“…The time evolution, spatial divergence, and spatial association characteristics of the economic growth rate of the central urban agglomerations are measured, then the DEA model and entropy value method are used to calculate the economic growth efficiency and economic growth quality of the urban agglomerations, respectively, the time evolution characteristics and spatial pattern evolution characteristics of the economic growth efficiency and economic growth quality are analyzed, and finally, the coupled model of regional economic growth rate, efficiency, and quality is constructed. …”
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Multiple-Fault Diagnosis Method Based on Multiscale Feature Extraction and MSVM_PPA by Min Zhang, Zhenyu Cai, Wenming Cheng

“…MSVM method with PPA parameters optimization will classify the fault patterns. The results of a case study of the rolling bearings faults data from Case Western Reserve University show that (1) the proposed intelligent method (MFE_PPA_MSVM) improves the classification recognition rate; (2) the accuracy will decline when the number of fault patterns increases; (3) prediction accuracy can be the best when the training set size is increased to 70% of the total sample set. …”
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An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing by Morteza Ebrahimpour, Mehdi Khashei

“…In addition, these improvements are not limited to the classification rate. The obtained results indicate that the proposed classifier can, on average, enhance performance by 6.46 %, 10.35 %, 8.37 %, and 6.22 % in precision, sensitivity, F1-score, and specificity, respectively. …”
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Acoustic exposure reveals variation in curtailment effectiveness at reducing bat fatality at wind turbines by Trevor Peterson, Adam Rusk, Caroline Byrne, Seta Aghababian, Sydney Edwards

“…Curtailment strategies with higher cut‐in speeds reduced the percentage of acoustic exposure by a consistent margin across biweekly intervals, but differences in the rate of acoustic exposure among strategies were far greater during late summer and early fall, when bat activity levels were highest. …”
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Cause-specific mortality in individuals with and without mental disorders according to socioeconomic position: a population-based cohort studyResearch in context by Danni Chen, Linda Ejlskov, Julie Werenberg Dreier, Natalie C. Momen, Lisbeth Mølgaard Laustsen, Henrik Toft Sørensen, Jayati Das-Munshi, Oleguer Plana-Ripoll

“…Summary: Background: Mental disorders are associated with elevated cause-specific mortality rates; however, the role of socioeconomic position (SEP) on these associations remains unclear. …”
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Flow and Mass Transfer Performance in Short Pin-Fin Channels with Different Fin Shapes by R. J. Goldstein, S. B. Chen

“…The performance of the pin-fin arrays is analyzed under two different constraints: the mass[heat transfer rate at fixed pumping power, and the mass/heat transfer area and pressure loss to fulfill fixed heat load at a fixed mass flow rate. …”
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Sexual behaviors and associated factors among first-year undergraduates at overseas Chinese-oriented universities in China by Zulin Chen, Zulin Chen, Yikun Zheng, Lihan Lin, Lihan Lin, Yongjun Chen, Yunting Zheng, Hongmiao Chen, Hongmiao Chen

“…The rate was significantly higher among students from Hong Kong, Macau, and Taiwan compared to those from Mainland China and abroad (p < 0.05), which was corroborated by the logistic regression (OR = 3.737, 95% CI: 2.846–4.908). …”
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The Study of Three-Dimensional Granular Stream Flowing through the Test Hopper-Shaped Target by Chengwen Qiang, Weifeng Yang, Long Li, Fei Wang, Weiping Deng, Qiang Zhao, Cong Liu, Xueying Zhang

“…Variation of the flow rate with elevated frequency of the screw conveyor is further studied. …”
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Spatiotemporal Simulation of Tourist Town Growth Based on the Cellular Automata Model: The Case of Sanpo Town in Hebei Province by Jun Yang, Peng Xie, Jianchao Xi, Quansheng Ge, Xueming Li, Fanqiang Kong

“…Results showed that (1) average annual growth rate of the entire region was 1.5 Ha2 per year from 2005 to 2010, 4 Ha2 per year from 2010 to 2015, and 2.5 Ha2 per year from 2015 to 2020; (2) urban growth rate increased yearly, with regional differences, and had a high degree of correlation with the Euclidean distance of town center, traffic route, attractions, and other factors; (3) Gougezhuang, an important village center in the west of the town, demonstrated traffic advantages and increased growth rate since 2010; (4) Magezhuang village has the largest population in the region, so economic advantages have driven the development of rural urbanization. …”
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Fish food security: analyzing the economic and environmental variables by Alaa Ahmed Kotb, Emad S. Aljohani, Yosef Alamri, Abdullah I. Aldakhil, Fuad Alagsam, Mansour Abdulaziz Alobaid, Mahdi Alsultan

“…The study employs descriptive statistical analysis to identify trends, patterns, and outliers in the data, using measures such as means, standard deviations, and growth rates. …”
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Personal identification based on acoustic characteristics of outer ear using cepstral analysis, Bayesian classifier, and artificial neural networks by Alexey Sulavko, Alexander Samotuga, Irina Kuprik

“…The Bayesian classifier has been found to show a lower percentage of identification errors with an equal error rate (EER) = 0.0053. The best result for neural networks was EER = 0.0266. …”
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Efficacy of Functional Endoscopic Sinus Surgery and Impact of Chronic Lung Disease on its Outcome in Patients of Chronic Rhinosinusitis by Minakshmi Karmakar, V D Prasanna Kumar Vasamsetty, Bonapart Chowdhury

“…The success rate among CLD patients was 66.6% and those who had no co-morbidities was 65.6 %. …”
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Comparison of blue laser imaging and light‐emitting diode‐blue light imaging for the characterization of colorectal polyps using the Japan narrow‐band imaging expert team classific... by Masahiro Okada, Naohisa Yoshida, Hiroshi Kashida, Yoshikazu Hayashi, Satoshi Shinozaki, Shiori Yoshimoto, Toshihiro Fujinuma, Hirotsugu Sakamoto, Keijiro Sunada, Yuri Tomita, Osamu Dohi, Ken Inoue, Ryohei Hirose, Yoshito Itoh, Yoriaki Komeda, Ikue Sekai, Natsuki Okai, Alan Kawarai Lefor, Hironori Yamamoto

“…The surface patterns, vessel patterns, and brightness are almost similar.…”
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GreenNav: Spatiotemporal Prediction of CO₂ Emissions in Paris Road Traffic Using a Hybrid CNN-LSTM Model by Youssef Mekouar, Imad Saleh, Mohammed Karim

“…In a global context where reducing the carbon footprint has become an urgent necessity, this article presents a hybrid CNN-LSTM prediction model to estimate CO₂ emission rates of Paris road traffic using spatio-temporal data. …”
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Assessment of Larsen C Ice Shelf stability: insights from surface and basal fracture by Qian Li, Zemin Wang, Jiachun An, Mingliang Liu, Pei Jiang, Zhuoya Shi

“…The LIS surface fracture (surface crevasses and depressions) distribution was linked to strain rates and maximum buttressing. Basal melting predominantly influences basal fracture formation (basal crevasses), with the penetration rate increasing in the direction of ice flow. …”
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Deep learning based predictive models for real time accident prevention in autonomous vehicle networks by Ahmed Almutairi, Abdullah Faiz Al Asmari, Fayez Alanazi, Tariq Alqubaysi, Ammar Armghan

“…These studies evaluate key metrics such as the accuracy of predictions, the response time, the reduction in accident rate, the efficiency of decision-making, and the resilience to false data. …”
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Advancing sedimentation modeling in large reservoir systems: Insights from multi-scale process coupling and machine learning by Yuning Tan, Huaixiang Liu, Yongjun Lu, Zhili Wang, Wenjie Li

“…Our climate scenario simulations revealed uneven sedimentation patterns and projected declining sedimentation rates over the next 30 years. …”
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A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks by Alireza Samari, Kamal Jannati, Azadeh Jafari

“…We developed two innovative machine learning models: the Fourier-Enhanced Network (FEN), which utilizes Fourier series to decompose input features into harmonic components; and the Residual Block Network (ResBNet), which incorporates skip connections within residual layers to capture complex nonlinear patterns. ResBNet demonstrated high accuracy in predicting relative droplet radius, Strouhal number, and optimized geometric ratios, while FEN offered computational efficiency and robust performance across a broad range of flow rates. …”
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