Beta diversity of demersal fish and implications for conservation in a subtropical environment by Olímpio Rafael Cardoso, Luis Henrique Martins Capp Verges, André Pereira Cattani, Lilyane Oliveira Santos, June Ferraz Dias, Henry Louis Spach

“… The present study aimed to evaluate the variation in the composition and diversity of the fish assemblages (beta diversity) along the east-west axis of the Paranaguá Estuarine Complex and the Adjacent Continental Shelf. …”
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Geodiversity as a Driver of Soil Microbial Community Diversity and Adaptation in a Mediterranean Landscape by Samuel Pelacani, Maria Teresa Ceccherini, Francesco Barbadori, Sandro Moretti, Simone Tommasini

“…Extreme meteorological events and anthropogenic influences determine important variations in microbial community composition. To know the extent of these variations, it is necessary to delve deeper into the geogenic factors to be considered as a baseline. …”
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Bayesian optimization of radical polymerization reactions in a flow synthesis system by Shogo Takasuka, Sho Ito, Shunto Oikawa, Yosuke Harashima, Tomoaki Takayama, Aniruddha Nag, Araki Wakiuchi, Tsuyoshi Ando, Tetsunori Sugawara, Miho Hatanaka, Tomoyuki Miyao, Takamitsu Matsubara, Yu-Ya Ohnishi, Hiroharu Ajiro, Mikiya Fujii

“…Subsequent Bayesian Optimization (BO) trial, using 40 points per cycle, identified several sets of processing conditions that could achieve the desired copolymer composition, accompanied by variations in other physical properties. …”
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The Impacts of Different PBL Schemes on the Simulation of PM2.5 during Severe Haze Episodes in the Jing-Jin-Ji Region and Its Surroundings in China by Tian Li, Hong Wang, Tianliang Zhao, Min Xue, Yaqiang Wang, Huizheng Che, Chao Jiang

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Numerical Study on Similarity of Plume’s Infrared Radiation from Reduced Scaling Solid Rocket by Xiaoying Zhang, Rui Li

“…Similarity of plume radiation between reduced scaling solid rocket models and full scale ones in ground conditions has been taken for investigation. …”
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Enhancing thermal comfort and energy efficiency in residential buildings using phase change materials in dual-seasonal climate zones by Congxiang Tian, Nur Azfahani Ahmad, An Nisha Nur Welliana Abd Rased, Yuxuan Xiong, Wenqing Li

“…The building model includes detailed parameters such as wall composition, insulation levels, and local climate data. …”
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The ocular surface microbiome of rhesus macaques by Joelle K. Hass, Arthur G. Fernandes, Michael J. Montague, Armando Burgos-Rodriguez, Melween I. Martinez, Lauren J. N. Brent, Noah Snyder-Mackler, John Danias, Gadi Wollstein, James P. Higham, Amanda D. Melin

“…Abstract Background The ocular surface microbiota (OSM) is important for eye health, and variations in OSM composition have been associated with multiple diseases in humans. …”
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Analysis of seminal plasma from brown bear (Ursus arctos) during the breeding season: Its relationship with testosterone levels. by L Anel-López, C Ortega-Ferrusola, C Martínez-Rodríguez, M Álvarez, S Borragán, C Chamorro, F J Peña, L Anel, P de Paz

“…This study is the first on brown bear (Ursus arctos) SP components, and has two main objectives: 1) to define the SP composition in bear ejaculate and 2) to identify variations in SP composition in relation to high and low levels of testosterone in serum during the breeding season. …”
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Quantitative influence of solidification path on solute micro-segregation and inclusion precipitation in the solidification process of rail steel by Xinliang Gao, Wenyue Ba, Chenyang Wang, Zhuangzhuang Zhang, Yinlong Wang, Tengfei Li, Zhinan Yang, Fucheng Zhang

“…The carbon content influences solute redistribution through the changes in solidification temperature and phase composition, resulting in the variations in ki and βi, which in turn affects solute micro-segregation. …”
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Machine Learning Reveals Microbial Taxa Associated with a Swim across the Pacific Ocean by Garry Lewis, Sebastian Reczek, Osayenmwen Omozusi, Taylor Hogue, Marc D. Cook, Jarrad Hampton-Marcell

“…Furthermore, the microbial community structure became increasingly similar over time (PERMANOVA; <i>p</i> < 0.01, R = −0.27). Decision-based modeling (random forest) revealed the genera <i>Alistipes</i>, <i>Anaerostipes</i>, <i>Bifidobacterium</i>, <i>Butyricimonas</i>, <i>Lachnospira</i>, <i>Lachnobacterium</i>, and <i>Ruminococcus</i> as important microbial biomarkers of excessive exercise for explaining variations observed throughout the swim (OOB; R = 0.893). …”
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Effect and Mechanism of Galacto-oligosaccharides on Constipation in Mice by Ya PAN, Fei SHEN, Ming CHEN, Fengqin FENG

“…Methods: Thirty-six male BALB/C mice were randomly divided into three groups, including the blank group, the model group, and the GOS group. The growth status, defecation situation and small intestine transit rate of each group were measured. …”
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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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Calibration of disk pasture meter to estimate a fire fuel load (aboveground plant biomass) for fire management in the northeastern steppe of Mongolia by Oyunsanaa Bayambasuren, Ariuntsetseg Lkhagva

“…Although we developed three linear regression models for DPM readings (100, 200, and 300) to estimate an optimal sampling effort, the model with 300 DPM models had the highest determination coefficient (0.82). …”
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Machine learning reveals distinct aquatic organic matter patterns driven by soil erosion types by Yingxin Shang, Kaishan Song, Zhidan Wen, Fengfa Lai, Ge Liu, Hui Tao, Xiangfei Yu

“…Our analysis revealed distinct spatial patterns, with mean CDOM absorption coefficients at 355 nm of 3.73 m-1 in freeze-thaw erosion regions, 6.31 m-1 in wind erosion regions, and 3.72 m-1 in hydraulic erosion regions, reflecting significant variations driven by erosion intensity. Two axes of PCA analysis explained over 48% variations of CDOM for different soil erosion types. …”
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Core thermal profiling application in additional geology structure appraisal of Permian-Carboniferous deposits at Usinsk oil field by E. Yu. Popov, E. M. Chekhonin, S. S. Safonov, S. O. Ursegov, I. P. Gurbatova

“…It is shown that the results of the high-resolution thermal profiling allow to detail porosity variations and to define more accurately depth intervals with variations of rock mineralogical composition.…”
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Effects of tropical typhoon event on land-based nutrients sources fluxes in the semi-enclosed eutrophic Zhanjiang Bay coastal water, China by Jibiao Zhang, Yingxian He, Peng Zhang, Fang Xv

“…In this study, nutrient concentration, composition and flux of three estuaries and one sewage outlet in Zhanjiang Bay (ZJB) were analyzed. …”
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Verrucomicrobium spinosum essential genome and the divergence of cell division in the PVC superphylum by Valentina Henriques, David Moyano-Palazuelo, Maria Teresa Alonso-Pascual, Manuel Pazos, Damien P. Devos, Elena Rivas-Marin

“…Summary: The Planctomycetota-Chlamydiota-Verrucomicrobiota superphylum comprises bacteria with divergent traits, epitomizing the vast biodiversity of non-model organisms that remains unexplored. Among its members, Planctomycetota and Chlamydiota exhibit unique adaptations, including variations in peptidoglycan structure and cell division without FtsZ. …”
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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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Host-derived protein profiles of human neonatal meconium across gestational ages by Yoshihiko Shitara, Ryo Konno, Masahito Yoshihara, Kohei Kashima, Atsushi Ito, Takeo Mukai, Goh Kimoto, Satsuki Kakiuchi, Masaki Ishikawa, Tomo Kakihara, Takeshi Nagamatsu, Naoto Takahashi, Jun Fujishiro, Eiryo Kawakami, Osamu Ohara, Yusuke Kawashima, Eiichiro Watanabe

“…Furthermore, we developed a machine learning model to predict gestational ages using meconium proteins. …”
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Probabilistic Forecasting of Ground Magnetic Perturbation Spikes at Mid‐Latitude Stations by Michael Coughlan, Amy Keesee, Victor Pinto, Raman Mukundan, José Paulo Marchezi, Jeremiah Johnson, Hyunju Connor, Don Hampton

“…Two model frameworks were compared, a model trained using solar wind data from the Advanced Composition Explorer (ACE) satellite, and another model trained on both ACE and SuperMAG ground magnetometer data. …”
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