Chemical Diversity of UK-Grown Tea Explored Using Metabolomics and Machine Learning by Amanda J. Lloyd, Alina Warren-Walker, Jasen Finch, Jo Harper, Kathryn Bennet, Alison Watson, Laura Lyons, Pilar Martinez Martin, Thomas Wilson, Manfred Beckmann

“…The intraclass variability in leaf composition was similar between the varieties. …”
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AI-based prediction for the strength, cost, and sustainability of eggshell and date palm ash-blended concrete by Quanwei Zhao, Qi Chen, AlAteah Ali H., Alfares Abdulgafor M., Alinsaif Sadiq, Mostafa Sahar A.

“…Eggshell powder (ESP) and date palm ash (DPA) are increasingly used as sustainable cement substitutes in cementitious composites. This study used multi-expression programming (MEP) to develop prediction models due to its advantage of yielding model equations. …”
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Factorial Structure and Measurement Invariance of the General Atitudes Toward Artificial Intelligence Scale for University Students by Mohammed Mosa AlShamrani

“…The study results indicated that the scale's structure aligned with the confirmatory factor analysis model, with fit indices demonstrating good fit: (χ^2⁄df=611.77⁄169=3.62), Good of fit Index (GFI) = 0.855, Tucker-Lewis index (TLI) = 0.837, and Root Mean square of Approximation (RMSEA) = 0.075. …”
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Factors Shaping Phenotypic Variation in <i>Thymus saturejoides</i> by Abderrahim Ouarghidi, Imane Abbad, Tiza Mfuni

“…We ran linear regression models to determine if any of these environmental variables were associated with the content of key chemicals known to mark quality and value in <i>T. saturejoides</i>. …”
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Anaerobic digestion of Gliricidia sepium inoculated with pig dung using a portable bio-digester for process optimization by Praise Ejigboye, Olugbenga Elemile, Abu Gana, Oladipupo Oladejo, Opeyemi Olajide, Boluwatife Badejoko, Rapuruchukwu Mezue, Maureen Gesiye

“…The model's significance is confirmed by a p-value of 0.0001. …”
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Late Quaternary fluctuation in upper range limit of trees shapes endemic flora diversity on the Tibetan Plateau by Jinfeng Xu, Tao Wang, Xiaoyi Wang, Christian Körner, Xianyong Cao, Eryuan Liang, Yongping Yang, Shilong Piao

“…However, it remains unclear how the upper paleo-range limit of trees, which dictated the habitat of endemic alpine species, affects the variability in endemic alpine species composition across space over the Tibetan Plateau. …”
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Bird communities in the Dry Chaco of South America: vegetation structure and climate effects by Romina Cardozo, Ricardo B. Machado

“…Building on a unique, field-based bird community dataset, we used multivariate analysis and generalized linear models to test the effects of climate and vegetation structure on bird composition and richness in forest corridors. …”
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Improved soil salinity estimation in arid regions: Leveraging bare soil periods and environmental factors by Weitong Ma, Xin Cui, Wenting Han, Huihui Zhang, Liyuan Zhang

“…Dividing the bare soil periods improved the model performance, increasing R2 by 10.2%–55.7%, and the support vector regression model performed better, with an R2 of 0.77, RMSE of 0.11%. …”
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The current status of nano-hydrogel preparations for osteochondral repair: Systematic Review by Abebe Feyissa Amhare, Abebe Feyissa Amhare, Lichun Qiao, Huan Deng, Jinyan Lin, Jun Wang, Wei Wang, Jing Han

“…Data synthesis was performed through structured tabulation and subgroup stratification by scaffold structure (single-phase, bilayered, trilayered, gradient), formulation type (injectable vs. preformed), and polymer origin (natural, synthetic, hybrid).ResultsA total of 41 studies were included, encompassing both in vitro and in vivo models, with participant numbers ranging from small animal models (e.g., rabbits, rats) to larger preclinical systems. …”
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Predicting iron contents in the Tamra-Douahria mining site using a deep neural network approach by Zohra Kraiem, Fathi Maalaoui, Salah Bouhlel, Chaouki Sadik, Ali Sdiri

“…The well-known Douahria-Tamra mining site is characterized by the presence of deposits with high variability in composition, colour, and structural-textural peculiarities, especially in the exploitable layers. …”
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Maternal metabolic profiling across body mass index groups: An exploratory longitudinal study by Hege Nyhus Skytte, Marie Cecilie Paasche Roland, Jacob Juel Christensen, Kirsten Bjørklund Holven, Tove Lekva, Nina Gunnes, Trond Melbye Michelsen

“…Plasma samples from four time points in pregnancy (weeks 14–16, 22–24, 30–32 and 36–38) were analyzed by nuclear magnetic resonance spectroscopy and 91 metabolites were measured. Linear regression models were fitted for each of the metabolites at each time point. …”
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Visceral fat, cardiovascular risk factors and quality of life in lupus activity categorised via complement C3 by J Alfredo Martinez, Victor Moreno-Torres, María Martínez-Urbistondo, Raquel Castejón, Susana Mellor-Pita, Andrea Higuera-Gómez, Begoña de Cuevillas, Amanda Cuevas-Sierra, Juan-Antonio Vargas

“…Interestingly, household composition as a sociodemographic variable (alone, couple/children/elderly or other) also showed an independent association with SLE activity.Conclusions Inactive patients with SLE exhibited more adverse cardiovascular risk markers compared with active patients categorised by complement C3, even when glucocorticoid administration was accounted for. …”
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Item performance of the scale for the assessment and rating of ataxia in rare and ultra‐rare genetic ataxias by Alzahra Hamdan, Andrew C. Hooker, Xiaomei Chen, Andreas Traschütz, Rebecca Schüle, ARCA Study Group, EVIDENCE‐RND consortium, Matthis Synofzik, Mats O. Karlsson

“…SARA is now considered a primary end point in several ataxia treatment trials, but its underlying composite item measurement model has not yet been tested. …”
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Specific soil factors drive the differed stochastic assembly of rhizosphere and root endosphere fungal communities in pear trees across different habitats by Yunfeng Liu, Yunfeng Liu, Zhenzhou Wang, Xiang Sun, Xueli He, Yuxing Zhang

“…Procrustes analysis, variance partitioning analysis, and ordination regression analysis were employed to explore the ecological relationships between soil factors and fungal community composition.ResultsThe rhizosphere fungal community exhibited higher richness, greater diversity and lower structural variability compared to the root endosphere. …”
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Multitemporal Sentinel and GEDI data integration for overstory and understory fuel type classification by Pegah Mohammadpour, Domingos Xavier Viegas, Alcides Pereira, Emilio Chuvieco

“…Wildfires significantly reshape the landscape of the Mediterranean basin, altering forest composition, structure, and diversity. Consequently, detailed fuel mapping is crucial for improving fire risk assessment and enhancing fire behavior modeling, as wildfires typically ignite from surface fuels and may spread vertically to canopy fuels due to canopy fuel continuity. …”
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Genome-wide identification and diversity of FAD2, FAD3 and FAE1 genes in terms of biotechnological importance in Camelina species by Rostyslav Y. Blume, Vitaliy Y. Hotsuliak, Tara J. Nazarenus, Edgar B. Cahoon, Yaroslav B. Blume

“…Finally, fatty acid composition of seed lipids in different Camelina species was characterized, suggesting potential variability in the activity of fatty acid elongation/desaturation pathways may vary among these taxa. …”
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The Impact of Synchronicity on Block Trading: Moderating Role of Media Coverage by Mehrab Nasiry, Hossien Fakhari, Esfandiar Malekian

“…The results of the Multivariate regression model based on composite data showed that the number and block trading ratio have a positive effect on stock price synchrony. …”
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Development Research on Integrating CNC Machine Tool with Plasma for Online Surface Heat Treatment by Shao-Hsien Chen, Bo-Ting Wang

“…In the screening experiment, the interaction of factors was discussed using a full factorial experiment. The Central Composite Design was combined with the Lack-of-Fit test for the optimization experiment, and the R2 coefficient was used to determine whether the regression model is appropriate. …”
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Optimizing Xylanase Production: Bridging Statistical Design and Machine Learning for Improved Protein Production by Merve Aslı Ergün, Başak Esin Köktürk-Güzel, Tuğba Keskin-Gündoğdu

“…The extreme gradient boosting (XGBoost) regression model was applied to predict xylanase activity under different experimental conditions, accurately predicting xylanase activity and identifying the significance of each variable. …”
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Estado nutricional y complexión corporal en estudiantes de la Universidad Laica Eloy Alfaro de Manabí, Ecuador (Nutritional status and body complexion in students of the Laica Eloy... by Damaris Hernández-Gallardo, Ricardo Arencibia-Moreno, Telmo Johnny Hidalgo-Barreto, Javier Cachón-Zagalaz, Silvano Merced-Len, Marta Linares-Manrique

“…An observational, descriptive and cross-sectional study was conducted on 211 university students attending ULEAM. Anthropometric variables were measured from which body mass index, body frame and body composition were calculated, in accordance with a three-component model. …”
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