The evolution of broad seascape utility and ontogenetic life history variation in lutjanids by Aaron M. Davis, Marcus Sheaves, Ajay Venkataraman, Ricardo Betancur-R.

“…Using an extensive phylogenomic dataset of ~ 110 species, we test models of juvenile and adult habitat evolution across seascape gradients. Evolutionary model fitting and ancestral state reconstructions, conducted independently for juvenile nurseries and adult habitats, both support an ordered, stepwise pattern of habitat transitions, with low-salinity associations evolving only via intermediate coastal habitats. …”
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Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms. by Hamed Khodadadi, Shima Nazem

“…The proposed method utilizes various machine learning algorithms, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Linear Discriminant Analysis (LDA), Pattern recognition Network (Pat net), and Fitting neural Network (Fit net), for classification. ten-fold cross-validation ensures robust performance evaluation. …”
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Optimisation and Modelling of the Wear Properties of Laser-Coated SiC-Blend Ni Welds on Steel Substrates by Dezheng WU, Canyu DING, MingDer JEAN

“…The ANFIS model based on Taguchi's design provides a better response pattern which shows extremely good fitting. As a result, satisfactory results are obtained between the predicted and experimental values of wear on laser coated Ni-added SiC welds, thereby validating the reliability and feasibility of this method.…”
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Improving phenological event identification in trees using manually measured dendrometer data: conventional approaches vs. the novel two-stage threshold approach by Przemysław A. Jankowski, Przemysław A. Jankowski, Rafael Calama, Jorge Aldea, Matías García, Guillermo Madrigal, Marta Pardos

“…Accurate detection of phenological events, such as growth onset, cessation, and seasonal transitions, is essential for understanding tree growth dynamics, particularly in Mediterranean forests where bimodal growth patterns are common. While microcore analysis remains the most precise method, its labor-intensive nature has led researchers to rely on dendrometer-based approaches. …”
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Experimental study on modal analysis and vibration response of tunnel structures under different damage conditions due to subway train loads by Rui Hou, Tao Li, Zhongyu Zhang, Lingfeng Li, Bo Liu, Dongwei Ren

“…Abstract Based on a prototype of the Beijing subway tunnel, this research conducts large-scale model experiments to systematically investigate the vibration response patterns of tunnels with different damage levels under the influence of measured train loads. …”
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Aberrometric, Geometrical, and Biomechanical Characterization of Sound-Induced Vibrational Modes of the Living Human Cornea by Francisco J. Ávila, Óscar del Barco, Maria Concepción Marcellán, Laura Remón

“…Sound-induced corneal wavefront aberration maps were reconstructed as a function of sound frequency and isolated from the natural state. While maps of low-order aberrations (LOA) revealed symmetric geometrical patterns, those corresponding to high-order aberrations (HOA) showed complex non-symmetric patterns. …”
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Green Synthesis of Nanocomposite of Ag/Ag2O Using Coelomic Liquid: Optical Absorption Analysis by Esmaeil Shahriari, Morteza Raeisi, Karim Aliakbari

“…The obtained nanoparticles crystal structure was analyzed by X-ray diffraction pattern and the Rietveld method. Results showed that with increasing the silver nitrate concentration, size and strain of silver oxide nanoparticles remained unchanged, but the silver nanoparticles size increased while strain decreased. …”
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Empirical analysis of COVID-19 confirmed cases, hospitalizations, vaccination, and international travel across Belgian provinces in 2021. by Yessika Adelwin Natalia, Geert Molenberghs, Thomas Neyens, Niel Hens, Christel Faes

“…These findings underscore the intricate interplay between public health interventions, population immunity, and mobility patterns in shaping the course of the COVID-19 pandemic.…”
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Comparison of Classical Arima Forecasting Methods to the Machine Learning LSTM Method: a Case Study on DAX® 50 ESG Index by Rosinus, Manuel

“…Originality/Value: The findings suggest that while the LSTM's ability to capture nonlinear patterns offers a forecasting edge, the improvement is incremental in a highly liquid and efficient market. …”
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Spontaneous thought separates into clusters of negative, positive, and flexible thinking by Marta Migó, Jessica A. Cooper, Philip A. Kragel, Michael T. Treadway

“…These clusters were characterized by two distinct patterns of stuck negative thinking, a pattern of protective positive thinking, and a pattern of flexible mind-wandering. …”
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Classification of Diabetic Retinopathy Based on Efficient Computational Modeling by Jiao Xue, Jianyu Wu, Yingxu Bian, Shiyan Zhang, Qinsheng Du

“…For the determination of diabetic retinopathy, the fundus lesions as well as the width, angle, and branching pattern of retinal blood vessels are characterized, inspired by the ability of Mamba and VMamba to efficiently model long sequences, VMamba-m is proposed in this paper. …”
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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…First, a two-stage feature engineering strategy is designed: (1) Spearman correlation analysis identifies degradation-sensitive physical parameters. (2) Principal component analysis reduces dimensionality while preserving degraded trajectory patterns. Second, a gray-Markov hybrid model is developed to capture nonlinear wear dynamics, where polynomial fitting simulates accelerated failure modes in late life. …”
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Integration of smart insoles for gait assessment in exoskeleton assisted rehabilitation by Luigi D’Arco, Haiying Wang, Huiru Zheng

“…Abstract A robotic exoskeleton enables individuals with limited or no mobility to engage in moderate exercises, thereby promoting physical fitness and overall well-being. However, exoskeletons alone do not provide comprehensive insights into gait pattern monitoring and analysis over time. …”
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The relationship between dietary sodium intake and all-cause mortality in patients with non-alcoholic fatty liver disease: a cohort study from NHANES 2003–2018 by Jiajun Li, Sile Wan, Xianyu Dai, Yifeng Cui, Zhaoyang Lu

“…Logistic regression assessed the relationship between sodium consumption and NAFLD incidence, while Cox regression and smooth curve fitting explored sodium intake’s link to all-cause mortality among Participants with NAFLD.ResultsAfter adjusting for confounders, logistic regression revealed a positive association between higher sodium intake and NAFLD incidence (OR = 1.16, 95% CI = 1.11, 1.21). …”
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Advancing dynamic quantum crystallography: enhanced models for accurate structures and thermodynamic properties by Helena Butkiewicz, Michał Chodkiewicz, Anders Ø. Madsen, Anna A. Hoser

“…Advancements in theory, experimental techniques, diffractometers and detection technology have led to the acquisition of highly accurate diffraction patterns, surpassing previous expectations. Extracting comprehensive information from these patterns necessitates different models due to the influence of both electron density and thermal motion on diffracted beam intensity. …”
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Buoyancy Distribution Model and Cumulative Buoyancy of Shield Tunnel Considering Time-Varying Properties of Slurry by CAO Yang, ZHANG Chaoyu, LIU Yang, LI Guozheng

“…The particle meso-contact parameters in the numerical model were calibrated according to the test results, which were utilized to establish a numerical simulation model for synchronous grouting of the shield tail with continuous-discrete coupling, so as to observe the diffusion law of slurry in the shield excavation gap and the surrounding strata, and clarify the dynamic buoyancy distribution pattern of the shield tunnel while considering the impacts of slurry solidification and grouting pressure. …”
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Planning and layout of tourism and leisure facilities based on POI big data and machine learning. by Shifeng Wu, Jiangyun Wang, Yinuo Jia, Jintian Yang, Jixiu Li

“…Drawing on POI and demographic data, and considering the distribution patterns of existing tourism and leisure facilities, this research applies machine learning to quantitatively simulate the optimal siting of such amenities. …”
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Hydraulic support pressure-posture fusion analysis technology for deep complex environment working faces by GONG Shixin

“…Through the fusion analysis of the hydraulic support pressure and posture in the deep working face, the study revealed the dynamic change patterns of mining height, total force on the hydraulic top beam, and the point of application of the total force. …”
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Association between dietary nutrient intake and sleep disorders in hypertensive patients: a cross-sectional study of NHANES, 2005–2020 by Aokai Tian, Yafang Zheng, Jing Jin, Chunyuan Huang

“…BackgroundDietary nutrient intake is critical for healthy sleep patterns, but studies in hypertensive patients are lacking. …”
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Spatial occurrence-intensity modeling of dengue incidence in southernmost provinces of Thailand. by Apiradee Lim, Lumpoo Ammatawiyanon, Haris Khurram, Phattrawan Tongkumchum, Don McNeil

“…The occurrence-intensity model gives a much better fit to the data and highlights that the gender-age patterns of occurrence and intensity are different. …”
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