The Evolutionary Characteristics of Reservoir Microstructure under Long-Term Waterflooding Development and Its Fractal Description by Fengjiao Wang, Xu Wang, Yikun Liu, Qingjun Deng, Jianjun Xu, Yong Zhang, Huaiyuan Li

“…On the basis of fractal theory and variation characteristics of rock pore structure in water driving reservoirs, we have established a micropore-throat structure evolution model of core pore-throat characteristics. …”
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Simultaneous Measurements of PM2.5- and PM10-bound Benzo(a)pyrene in a Coastal Urban Atmosphere in Poland: Seasonality of Dry Deposition Fluxes and influence of Atmospheric Transpo... by Patrycja Siudek, Wiesława Ruczyńska

“…The measurements revealed a strong seasonal variation in the concentration and dry deposition fluxes of BaP. …”
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Beyond variance: simple random distributions are not a good proxy for intraspecific variability in systems with environmental structure by Girard-Tercieux, Camille, Vieilledent, Ghislain, Clark, Adam, Clark, James S., Courbaud, Benoit, Fortunel, Claire, Kunstler, Georges, Pélissier, Raphaël, Rüger, Nadja, Maréchaux, Isabelle

“…Communities simulated with unstructured IV never reached the community diversity and composition of those where all the variation was explained and structured (perfect knowledge model). …”
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Milk Fatty Acids as Potential Biomarkers of Enteric Methane Emissions in Dairy Cattle: A Review by Emily C. Youngmark, Jana Kraft

“…Similarly, differences in experimental design, data processing, and model development contribute to much of the variation observed in predictive equations across studies. …”
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Research on the Tail Risk Spillover Effect of Cryptocurrencies and Energy Market Based on Complex Network by Xiao-Li Gong, Xue-Ting Wang

“…The tail risk spillover effects under various time and frequency domains were captured by the spillover index, which was assessed by the leptokurtic quantile vector autoregression (QVAR) model. Considering the spatial heterogeneity of energy companies, the spatial Durbin model was used to explore the impact mechanism of risk spillovers. …”
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SOURCES OF LOWER PALEOZOIC SANDSTONES FROM THE NORA-SUKHOTINO TERRANE: RESULTS OF U-Th-Pb AND Lu-Hf ISOTOPE STUDIES OF THE DETRITAL ZIRCONS by Y. V. Smirnov

“…The sandstones from the Belaya basin are characterized by significant variations in the composition of clastic material and major rock-forming elements, and by correspondence to arkoses and litharenites. …”
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Landscape Heterogeneity and Island Identity as Drivers of Mesoscale Structure of Pollination Networks by Lazaros Neokosmidis, Yiannis G. Zevgolis, Panayiotis G. Dimitrakopoulos, Theodora Petanidou

“…Interestingly, using two dbRDA models to evaluate the combined effects of landscape context and island identity on motif profiles and network link compositions, we found that the first model explained 57% of the variance, whereas the second model accounted for only 16%. …”
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A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification by Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…Recent advancements in deep learning have opened new avenues for tackling the CI problem in this context, focusing on three key aspects: the semantic segmentation model, loss function design, and dataset composition. …”
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Industrial diet intervention modulates the interplay between gut microbiota and host in semi-stray dogs by Soufien Rhimi, Amin Jablaoui, Juan Hernandez, Vincent Mariaule, Nizar Akermi, Tristan Méric, Héla Mkaouar, Magdalena Wysocka, Adam Lesner, Mohamed Ali Borgi, Emmanuelle Maguin, Moez Rhimi

“…Diet is identified as a key regulatory factor of the microbiota composition and, potentially, of subsequent functionalities. …”
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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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Trait‐independent habitat associations explain low co‐occurrence in native and exotic birds on a tropical volcanic island by Jean‐Yves Barnagaud, Olivier Flores, Gérard Balent, Jacques Tassin, Luc Barbaro

“…We used a combination of multivariate statistics and generalized additive models to describe variations in the taxonomic and functional composition and diversity of 372 local bird assemblages, encompassing 20 species, along gradients of habitat composition and configuration. …”
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Compensation for Matrix Effects in High-Dimensional Spectral Data Using Standard Addition by Elena Khanonkin, Israel Schechter, Itai Dattner

“…We propose a novel algorithm for standard addition that works with high-dimensional data without requiring matrix composition knowledge or blank measurements. By modifying experimental data (e.g., spectra) before applying chemometric models, the algorithm accurately determines analyte concentrations even in complex matrices like seawater or food, where blanks are unavailable. …”
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Long - Term Assessment of the Spatial Temporal Trends in selected Cloud Radiative Properties over the Three Distinct sites in Kenya by Sostine N. Makokha, John W. Makokha, JWM, Festus B. Kelonye

“…Increased anthropogenic activities and emissions can significantly lead to changes in cloud composition and cloud structure affecting the cloud properties causing alterations in climatic conditions over Kenya. …”
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Application of Near-Infrared Spectroscopy to Rapidly Classify the Chinese Quince Fruits from Different Habitats by Songfeng Diao, Xiaoqian Tang, Lin Huang, Yanjie Li, Xiongfei Fan, Wenhao Shao

“…When used in conjunction with other methods, this technique can assist researchers, scientists, and industry professionals in identifying the main factors responsible for significant variations in the habitats, composition, and quality of Chinese quince fruits.…”
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Tips and tricks for gut microbiota investigation using scanning electron microscopy (SEM): going from sample preparation to imaging and landscape analysis by Meriem Boukili, Omar Zmerli, Florence Fenollar, Sara Bellali, Jacques Bou Khalil

“…This study introduces a novel rapid technique using tabletop scanning electron microscopy (SEM) for investigating GM composition, focusing on Clostridioides difficile infection (CDI) as a representative model for dysbiosis-related diseases. …”
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Dissection of tumoral niches using spatial transcriptomics and deep learning by Karla Paniagua, Yu-Fang Jin, Yidong Chen, Shou-Jiang Gao, Yufei Huang, Mario Flores

“…Summary: This study introduces TG-ME, an innovative computational framework that integrates transformer with graph variational autoencoder (GraphVAE) models for dissection of tumoral niches using spatial transcriptomics data and morphological images. …”
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Autonomous Detection of Mineral Phases in a Rock Sample Using a Space-prototype LIMS Instrument and Unsupervised Machine Learning by Salome Gruchola, Peter Keresztes Schmidt, Marek Tulej, Andreas Riedo, Klaus Mezger, Peter Wurz

“…Through a grid search, the stability of the methods over a broad model parameter space is confirmed, revealing a correlation between the level of data preprocessing and the resulting clustering quality. …”
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Birth of an ocean in the Red Sea: Initial pangs by Marco Ligi, Enrico Bonatti, Giovanni Bortoluzzi, Anna Cipriani, Luca Cocchi, Fabio Caratori Tontini, Eugenio Carminati, Luisa Ottolini, Antonio Schettino

“…Basaltic glasses major and trace element composition suggests a rift‐to‐drift transition marked by magmatic activity with typical MORB signature, with no contamination by continental lithosphere, but with slight differences in mantle source composition and/or potential temperature between Thetis and Nereus. …”
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Taxonomic variability and functional stability across Oregon coastal subsurface microbiomes by Hengameh H. Soufi, Robert Porch, Masha V. Korchagina, Joseph A. Abrams, Jared S. Schnider, Ben D. Carr, Mark A. Williams, Stilianos Louca

“…Regression models predicting taxonomic dissimilarities and considering up to 20 physicochemical variables as predictors, almost always failed to select a significant predictor, suggesting that variation in local conditions does not explain the high taxonomic variability. …”
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Graphical representation of landscape heterogeneity identification through unsupervised acoustic analysis by Maria J. Guerrero, Camilo Sánchez‐Giraldo, César A. Uribe, Víctor M. Martínez‐Arias, Claudia Isaza

“…From a sonotype composition matrix, we use the Graphical Lasso method, a sparse Gaussian graphical model, to identify acoustic similarities across sites, map ecological complexity relationships through the nodes (sites) and edges (similarities), and transform acoustic data into a graphical representation of ecological interactions and landscape acoustic diversity. …”
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