Navigating high-dimensional process-structure–property relations in nanocrystalline Pt-Au alloys with machine learning by Saaketh Desai, Manish Jain, Sadhvikas J. Addamane, David P. Adams, Remi Dingreville, Frank W. DelRio, Brad L. Boyce

“…Traditional studies often examine a limited number of process-structure–property variables, striving to elucidate mechanisms governing material response. …”
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Widespread pH increase and geochemical trends in fifty boreal lakes: Evidence, prediction and plausible attribution to climate and permafrost thaw impacts across northeastern Alber... by J.J. Gibson, A. Jaggi, F.J. Castrillon-Munoz

“…Study focus: Evidence for trends in chemical composition of lakes, including pH increases are provided using Mann-Kendall statistics, geochemical modelling, δ18O, δ2H, and δ13C, which are compared to trend statistics for climate, water balance, and groundwater indicators. …”
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Experimental Study on the Durability of Alkali-Activated Slag Concrete after Freeze-Thaw Cycle by Bin Chen, Jun Wang

“…When analyzed via the microstructure test, crack pores and microcracks with narrow spaces and large surface areas were generated under freeze-thaw damage conditions, but the dense hydration structure and high-bonding-strength hydration products led to a better freeze-thaw resistance. The damage model was established using compressive strength and relative dynamic elastic modulus as damage variables, and the attenuation exponential and accumulative damage power function model had a high accuracy, which could better reflect the freeze-thaw damage law and damage degree and predict the lifetime of alkali-activated slag concrete.…”
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Adaptation to Soil Conditions of in vitro Regenerated Birch Lines Selected for Salinity Resistance by Olga S. Mashkina, Tat’yana M. Tabatskaya

“…Tissue and cellular plant in vitro breeding is a promising trend that complements and accelerates traditional breeding. Stress modelling under strictly controlled conditions on selective media allows for selection based on resistance to negative environmental factors (including drought and salinity), and preserving and cloning in vitro of selected variants with the desired traits. …”
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Gut microbiome predictors of advanced therapy response in Crohn’s disease: protocol for the OPTIMIST prospective, longitudinal, observational pilot study in Canada by Greg Rosenfeld, Susanna Meade, Yvette Leung, Astrid-Jane Williams, Gurpreet Kaur, Brian Bressler, Cristian Aldo Massaro, Fanny Laure Lemarié, Genelle Lunken

“…Despite advancements in treatment, such as biologics, response rates remain variable, highlighting the need for personalised approaches. …”
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Impact of Pulmonary Hypertension and Patent Ductus Arteriosus in Preterm Infants with Presumed Pulmonary Hypoplasia by Sol Kim, Yumi Seo, Moon-Yeon Oh, Min Soo Kim, Sook Kyung Yum

“…<b>Objectives</b>: Pulmonary hypertension and hemodynamically significant PDA (hsPDA) involve seemingly opposite physiological features—decreased pulmonary blood flow and pulmonary overcirculation, respectively—but the literature demonstrates variable respiratory consequences in association with each of these morbidities. …”
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Evaluating the construct validity of the health promotion literacy scale: a confirmatory factor analysis in Taiwan’s university social responsibility context by Yu-Ming Wang, Chia-Hui Hung, Yi-Ching Li, Yung-Chuan Ho, Cheng-Yi Huang

“…The structural equation model displayed a good fit, suggesting that personal growth, responsibility for citizenship, and social interaction were latent variables of the Health Promotion Literacy-based Scale on a USR curriculum. …”
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On the propagation and interaction of the low-frequency ion-acoustic multi-solitons in a magnetoplasma having nonextensive electrons using Hirota bilinear method by Aljawhara H Almuqrin, Delmas V Douanla, Camus GL Tiofack, Alim, Alidou Mohamadou, Sherif ME Ismaeel, Samir A El-Tantawy

“…The reductive perturbation method is utilized to obtain the Korteweg-de Vries (KdV) equation for describing the low-frequency IAWs in proximity to critical values of the pertinent physical variables in the system. At specific essential plasma compositions, the modified KdV (mKdV) equation is derived for the parameter values at which the KdV model fails to analyze the nonlinear dynamics of the low-frequency IAWs adequately. …”
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Targeting Ocular Biofilms with Plant-Derived Antimicrobials in the Era of Antibiotic Resistance by Monika Dzięgielewska, Michał Tomczyk, Adrian Wiater, Aleksandra Woytoń, Adam Junka

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High-frequency Power Spectrum of Active Galactic Nucleus NGC 4051 Revealed by NICER by B. Rani, Jungeun Kim, I. Papadakis, K. C. Gendreau, M. Masterson, K. Hamaguchi, E. Kara, S.-S. Lee, R. Mushotzky

“…Variability studies offer a compelling glimpse into black hole dynamics, and Neutron Star Interior Composition Explorer's (NICER’s) remarkable temporal resolution propels us even further. …”
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Enhanced Segmentation of Glioma Subregions via Modality-Aware Encoding and Channel-Wise Attention in Multimodal MRI by Annachiara Cariola, Elena Sibilano, Antonio Brunetti, Domenico Buongiorno, Andrea Guerriero, Vitoantonio Bevilacqua

“…Our architecture achieves promising results, with Dice scores of 0.78, 0.86, and 0.88 for NCR, ED, and ET, respectively, outperforming SegFormer3D while maintaining comparable model complexity. To ensure a comprehensive evaluation, performance was also assessed on standard composite tumor regions, i.e., tumor core (TC) and whole tumor (WT). …”
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30 Years of simultaneous crop & land cover land use maps for Middle Rio Grande from 1994 to 2024 by Saman Ebrahimi, Mahdis Khorram, Raquel Neri Barranco, Rosario Sanchez, Rocky Talchabhadel, Santosh S. Palmate, Marisol Dominguez-Tuda, Elizabeth F. Racine, Saurav Kumar

“…Dual-month (July and December) Landsat composites and a semantic segmentation model, MANet with ResNeXt-101 encoder, under four strategies were used to address sensor and temporal variability. …”
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Predicting present and future habitats using LiDAR to integrate research and monitoring with landscape analyses by David A. MacLean, Thomas Baglole, Maurane Bourgouin, Billie Chiasson, Jiban C. Deb, Maitane Erdozain, Remus J. James, Lauren Negrazis, Louka Tousignant, Phil Wiebe, Greg Adams, Joseph R. Bennett, Erik J.S. Emilson, Nicole J. Fenton, Graham J. Forbes, Michelle A. Gray, Karen A. Kidd, Andrew McCartney, Gaetan Moreau, Kevin B. Porter, Osvaldo Valeria, Lisa A. Venier

“…LiDAR-based enhanced forest inventory provided forest structure variables that improved bird habitat models and spatial predictions of bird habitat, metrics explaining bryophyte composition and richness, and variability in beetle abundance and richness. …”
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基于Kriging响应面法的盾构机行星架多目标优化 by 王红霞, 王盛, 刘强

“…In order to meet the requirements of lightweight design,the smallest of volume and minimum of rotary inertia multi-objective optimization model is established by considering its dynamic and static characteristics requirements.The design variables are taken correlation analysis under circumstance without non-sensitive factors to improve design efficiency.Using enhanced central composite design to get the proper design point,and the design point is simulated and analyzed by using the finite element method,then,a high-precise Kriging response surface model is established according to the simulation results.Sample points distributed evenly are taken out by using Shifted Hammersley sampling technology.After balancing pros and cons of the points,two Pareto optimal solutions are obtained under certain constraints.The volume and rotary inertia are decreased by 10% or more after optimization and the design target of planet carrier in volume and rotary inertia is achieved.…”
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Studying pollen representation of vegetation and plant richness from Pampean coastal dunes (Argentina, South America): exploring from local to landscape quantitative linkages by Carolina Vásquez, Gonzalo Sottile, Victor Merino-Campos, Silvina Stutz

“…Thus, this study aims to establish whether surface pollen composition and richness of the Argentinean Coastal Dune System reflect landscape heterogeneity in coastal dune environments. …”
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Environmental and host factors underlying tick infestation in invasive raccoons (Procyon lotor) in Hokkaido, Japan by Mebuki Ito, Miku Minamikawa, Anastasiia Kovba, Hideka Numata, Tetsuji Itoh, Yuki Katada, Shiho Niwa, Yurie Taya, Yuto Shiraki, Gita Sadaula Pandey, Samuel Kelava, Nariaki Nonaka, Ryo Nakao, Ryosuke Omori, Yuma Ohari, Norikazu Isoda, Michito Shimozuru, Toshio Tsubota, Keita Matsuno, Mariko Sashika

“…Next, we screened 17 environmental and host variables to determine factors that affect the number of ticks infesting raccoons using generalized linear (mixed) models. …”
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Association between energy intake and prognosis in Chronic Kidney Disease (CKD) stages 3–5: an ambispective cohort study by Di Yang, Huifen Chen, Yan Han, Yuhan Shen, Guixin Liang, Tao Zhou, Fang Tang, Lizhe Fu, Yifan Wu, Meizhu Ding

“…The main variable was energy intake. Kaplan–Meier analysis, restricted cubic splines, and Cox regression models were performed to assess the association.Results 85 (36.3%) individuals reached the endpoint with a median follow-up of 33 months. …”
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Temperature and Stress Effects on the Compressive Creep Behavior of Parallel Strand Bamboo by Yanyan Liu, Yulin Bian, Dong He, Jiao Liu, Aiping Zhou

“…It is expected that the use of this composite will continue to grow because of its excellent mechanical performance, relatively low variability in material properties, and shape standardization. …”
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Predictors of 30-Day Mortality and Morbidity Following Craniotomy for Traumatic Brain Injury: An ACS NSQIP Database Analysis by Jawad Turfa, Ali Hijazi, Yasser Fadlallah, Melhem El-Harati, Hani Dimassi, Marwan El Najjar

“…The primary outcome was 30-day mortality, and the secondary outcome was a composite morbidity score. Significant variables on univariate analysis with Chi-squared test were used to compute multivariable logistic regression models for both outcomes, and Hosmer–Lemeshow test was used. …”
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Analysis of the Effect of Clarity, Efficiency, Accuracy, Stimulation, and Novelty on the Attraction of Using PayLater Services by Mutiara Cahyani, Siti Jamilah

“…The goodness-of-fit model test produces an SRMR value of 0.051 (<0.08), indicating that the model is appropriate. …”
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