An investigation on aluminothermic reduction of MoO3 in domestic microwave oven by Sheybani K., Paydar M.H., Shariat M.H., Setoudeh N.

“…Thermodynamic analysis of the corresponding reaction indicated that, aluminothermic reduction of MoO3 was possible at all temperatures. XRD patterns and thermodynamic investigation of reaction products indicated that aluminothermic reduction of molybdenum oxide progressed through the formation of intermediate phases such as Al2 (MoO4)3 and MoO2, where the final products were elemental Mo and Al2O3. …”
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Nearshore Depth Inversion Bathymetry from Coastal Webcam: A Novel Technique Based on Wave Celerity Estimation by Umberto Andriolo, Alberto Azevedo, Gil Gonçalves, Rui Taborda

“…Shoaling and breaking wave patterns were detected on the Timestacks distinctly, and wave celerity was estimated from wave trajectories. …”
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Revolutionizing Management Accounting: The Role of Artificial Intelligence in Predictive Analytics, Automated Reporting, and Decision-Making by Milos Pavlovic, Cedomir Gligoric, Filip Zdravkovic, Danijela Pavlovic

“…AI-powered automated reporting improves efficiency and minimizes errors, while AI-based decision support systems deliver real-time insights and detect complex patterns, resulting in more effective strategic decisions. …”
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African Swine Fever in Saxony—Disease Dynamics by Katja Schulz, Sandra Blome, Michael Richter, Tessa Carrau, Christoph Staubach, Carola Sauter-Louis

“…A few weeks after the initial occurrence, infected wild boar were detected in Saxony. In this study, data from wild boar surveillance in Saxony were analyzed. …”
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Comparing 2D and 3D Feature Extraction Methods for Lung Adenocarcinoma Prediction Using CT Scans: A Cross-Cohort Study by Margarida Gouveia, Tânia Mendes, Eduardo M. Rodrigues, Hélder P. Oliveira, Tania Pereira

“…Machine learning algorithms have already shown the potential to recognize patterns in CT scans to classify the cancer subtype. …”
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The Effect of Different Agricultural Wastes on Aroma Composition of Shiitake (Lentinula edodes (Berk.) Pegler) Mushroom by Gökhan Baktemur, Zeynep Dilan Çelik, Ecem Kara, Hatıra Taşkın

“…Nevertheless, agricultural waste trials are going on as agricultural production patterns of the countries are different. In this study, volatile aroma composition of shiitake mushroom produced on different agricultural wastes (wheat stalk, wheat bran, peanut shell, corn cob and vine pruning waste) was compared. …”
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An approach to using stranding data to monitor cetacean population trends and guide conservation strategies by Rachel L. Lennon, Rosie S. Williams, Kathryn J. Allan, Mariel T.I. ten Doeschate, Nicholas J. Davison, Simon A. Babayan, Andrew C. Brownlow

“…Species were clustered into broad ecological groups - baleen whales, short-beaked common dolphins, deep divers, harbour porpoises and pelagic dolphins - for spatiotemporal analysis of stranding patterns. All groups showed increases in annual stranding rates over the study period, with common dolphins and baleen whales exhibiting exponential increases, suggesting these species may be facing heightened pressures. …”
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Why the Long “Horns”? Fine‐Scale Morphology Suggests Tactile Demands Contributed to the Exaggeration of Male Longhorned Beetle Antennae (Coleoptera: Cerambycidae) by Rowan L. K. French, Magdalena Kowalewska Groszkowska, Locke Rowe, D. Luke Mahler, Lech Karpiński

“…Collectively, our results suggest that alternative pathways to antenna SD evolved rapidly in Anoplistes, perhaps due to different patterns of selection on tactile sensation.…”
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Sodium Silicate, Potassium Silicate, and Copper Sulfate’s Effectiveness In Vitro and In Silico against the Wood-decaying Fungus Phanerochaete chrysosporium by Mohammed Ibrahim Alghonaim, Sulaiman A. Alsalamah, Suha Alharbi, Abeer Mahmoud Mohammad

“…PS and CS showed moderate to weak binding, with distinct interaction patterns. These computational results highlight SS as a potential candidate for further experimental validation in targeting the 1QPA protein.…”
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Cloud Telescope: An Ephemeral, Distributed, and Cloud-Native Architecture for Collecting Internet Background Radiation by Fabricio Bortoluzzi, Barry Irwin, Carla Merkle Westphall

“…In addition, what malicious traffic patterns would emerge if we could sample the unsolicited traffic - termed Internet Background Radiation (IBR) - arriving at devices directly connected to the Internet? …”
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Characterization and Expression Analysis of the SABATH Gene Family Under Abiotic Stresses in Cucumber (<i>Cucumis sativus</i> L.) by Xinjie Zhang, Shanyu Li, Yang Zhou, Mengxin Chen, Lisi Jiang, Wei Fu

“…In this study, 13 SABATH genes distributed on five chromosomes of cucumbers were identified, and the synergistic effects among their domains, gene structures, conserved motifs, phylogenetic relationships, collinearity analysis, cis-acting elements, expression patterns, and plant growth-promoting rhizosphere bacteria (PGPR) were analyzed. …”
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Satellite Monitoring of Italian Vineyards and Spatio-Temporal Variability Assessment by Alessandro Zanchin, Alessia Cogato, Marco Sozzi, Diego Tomasi, Francesco Marinello

“…However, the vintage did not affect the patterns of the within-field variability. Regarding grapevine management, training systems and the rows’ orientation were relevant boosters of variability. …”
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Prevalence, antibiotic resistance, virulence and antimicrobial resistance gene profiles of Salmonella species recovered from retail beef and poultry processing environments by Zahra Osivand, Ebrahim Rahimi, Amir Shakerian, Faham Khamesipour

“…Comparative analysis of resistance patterns between poultry and beef samples revealed higher resistance in poultry isolates to ciprofloxacin and tetracycline. …”
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Virulence genes and antibiotic resistance of Pseudomonas aeruginosa isolated from patients in the Northwestern of Morocco by Chaimae Elmouaden, Amin Laglaoui, Latifa Ennanei, Mohammed Bakkali, Mohammed Abid

“…In this investigation, we aimed to screen the antibiotic susceptibility patterns and the prevalence of virulence factor genes in a set of Pseudomonas aeruginosa isolated from nosocomial and community-acquired infections in the Northwestern of Morocco. …”
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Trace element composition of organs and tissues of the Caspian seal (<i>Phoca caspica</i> Gmelin, 1788) in the conditions of technogenesis of the biosphere by T. S. Ershova, V. F. Zaitsev, M. Z. Gadzhidadaev, Sh. M. Samudov, V. A. Chaplygin, Yu. A. Shevchenko

“…To identify features of the accumulation and distribution patterns of Zn, Cu, Mn, Cr, Ni, Co, Hg, Cd, Pb in organs and tissues of the Caspian seal.Materials and Methods. …”
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Fine visualization of biological cells using X-ray micro-CT with the slow freezing contrast improved method by Akio Yoneyama, Masahide Kawamoto, Midori Yasuda, Tatsuhiko Kodama, Kazuhiko Shiranita, Rika Baba, Yuji Matsumoto, Thet-Thet Lwin, Satoshi Takeya

“…Experiments on slowly frozen fruits and formalin-fixed mouse organs using synchrotron-based cryo micro-X-ray CT produced high-resolution images of cellular structures. The ice crystal patterns formed within cells varied based on sugar concentration, suggesting potential for detecting sugar levels in individual cells. …”
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Exploring Viral Interactions in <i>Clavibacter</i> Species: In Silico Analysis of Prophage Prevalence and Antiviral Defenses by Lucía Margarita Rubí-Rangel, Josefina León-Félix, Claudia Villicaña

“…Comparative genomic analyses uncovered high genetic diversity, with distinct prophage clusters showing species-specific and interspecies conservation patterns. Functional annotation revealed prophage-encoded genes were involved in sugar metabolism, heavy metal resistance, virulence factors, and antibiotic resistance, highlighting their contribution to host fitness and environmental adaptation. …”
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Predicting intensive care need in women with preeclampsia using machine learning – a pilot study by Camilla Edvinsson, Ola Björnsson, Lena Erlandsson, Stefan R. Hansson

“…In this study we aimed to develop a prediction model for severe outcomes using routine biomarkers and clinical characteristics.Methods We used machine learning models based on data from an intensive care cohort with severe preeclampsia (n=41) and a cohort of preeclampsia controls (n=40) with the objective to find patterns for severe disease not detectable with traditional logistic regression models.Results The best model was generated by including the laboratory parameters aspartate aminotransferase (ASAT), uric acid and body mass index (BMI) with a cross-validation accuracy of 0.88 and an area under the curve (AUC) of 0.91. …”
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Computer Assisted Objective Assessment of Micro-Neurosurgical Skills From Intraoperative Videos by Pon Deepika, Kalahasti V. V. Deepesh, Phani Sriram Vadali, Madhav Rao, Vikas Vazhayil, Alok Mohan Uppar

“…Then the tool motion and tool handling metrics are computed by tracking the detected instrument locations through time. Microscope adjustment patterns are also investigated via the proposed time based metrics.…”
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Niche modelling and landscape genetics of the yellow‐legged hornet (Vespa velutina): An integrative approach for evaluating central–marginal population dynamics in Europe by Cayetano Herrera, M. Alice Pinto, Mar Leza, Iris Alemany, José A. Jurado‐Rivera

“…Integrative approaches offer a powerful strategy to detect and understand patterns of genetic variation in central and marginal populations. …”
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