A next-generation system for smoke inhalation integrated with a breathing lung-on-chip to model human lung responses to cigarette exposure by Arunima Sengupta, Saskia Schmid, Noémie Grangier, Aurélien Dorn, Marco Hebestreit, Andreas Hugi, Kristína Žajdlíková, Anja Herbst, Paula Losada-Oliva, Heidi Ortolf-Wahl, Philippe Krebs, Janick D. Stucki, Vera van der Velpen, Jesus Perez-Gil, Tobias Krebs, Nina Hobi, Olivier T. Guenat

“…Abstract Continuous exposure to cigarette smoke (CS) significantly contributes to the development and progression of chronic obstructive pulmonary disease (COPD) and lung cancer. …”
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Editorial by Bulent Cavas

“…Dear Readers,It is with great pleasure that we present the June 2025 issue of Science Education International. This issue features 11 original research articles that highlight contemporary developments, challenges, and opportunities in science education. …”
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Hematological analysis as a method of monitoring physiological status of medium carnivorous mammals in the Russian Far East by Galina S. Alekseeva, Mariya N. Erofeeva, Jose A. Hernandez-Blanco, Mikhail N. Litvinov, Mariya D. Chistopolova, Mariya D. Kim, Viatcheslav V. Rozhnov, Sergey V. Naidenko

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Redefining the Geographic Distribution of Two Cryptic Halictus (Hymenoptera: Halictidae) Species in the Eastern United States by Hannah K. Levenson, Luke R. Tembrock, Frida A. Zink, Kayla A. Mollet, David R. Tarpy

“…These clarified species distributions help us better understand local pollinator communities, associated habitat features, and abiotic conditions amenable to each, as well as provide insights into patterns related to their speciation.…”
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Sound‐Based Assembly of Magnetically Actuated Soft Robots Toward Enhanced Release of Extracellular Vesicles by Wei Gao, Riccardo Tognato, Micaela Natta, Elena Della Bella, Alessandro Cianciosi, Tiziano Serra

“…This technology exploits hydrodynamic instabilities at the free surface of a fluid layer, thus enabling the fabrication of centimeter‐scale robots featuring diverse structural properties. These features show a wide range of deformation modes in response to magnetic fields, including folding, bending, and expanding. …”
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Digital media consumption from childhood to pre-adolescence: the research-action "One Bit at a Time" in Italy for Digital Education among children/teachers and families by Gabriele Lugaro, Jacopo Ferro, Cosimo Di Bari

“…The article outlines the results of a research and training project that examined the habits and patterns of digital device usage among 1,014 families with children aged 0-6 years and 7-11 years in the Liguria region. …”
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Multinomial logit regression adoption: Identifying user characteristics of e-wallets in Can Tho City, Vietnam by Ngan Thi Thuy Nguyen, Khe Son Tran

“…E-wallet service providers could identify their target audience through the research findings and then work on developing both existing and new features that align with the needs of those potential users, all aimed at boosting loyalty and expanding user density. …”
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Enhancing hand-drawn diagram recognition through the integration of machine learning and deep learning techniques by Vanita Agrawal, MVV Prasad Kantipudi, Jayant Jagtap

“…Additionally, deep learning techniques, which are well known for their ability to find intricate patterns and features in data, are incorporated into the proposed system. …”
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Colour Association with Music Is Mediated by Emotion: Evidence from an Experiment Using a CIE Lab Interface and Interviews. by PerMagnus Lindborg, Anders K Friberg

“…Correlation analysis suggested patterns of relationships between audio features and colour patch parameters. …”
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Automatic Detection for Mining Subsidence Areas Using the CBAM-Enhanced VGG-UNet Model With Long Time Series InSAR Interferograms by Kegui Jiang, Keming Yang, Mengting Gao, Liuguo Zhu, Chuang Jiang

“…This enhancement improves the feature representation and perception capabilities of the model. …”
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Detection and Localization of Stationary Waves on Venus Using a Self‐Supervised Anomaly Detection Model by Husnu Baris Baydargil, Jose Eduardo Oliveira Silva, Yeon Joo Lee, Meeyoung Cha

“…To address this, we propose a self‐supervised anomaly detection model based on a vector‐quantized generative adversarial network to identify and localize stationary atmospheric waves in spacecraft images of Venus. Our model is developed over Akatsuki images of Venus and is trained on smaller cropped images containing features other than stationary waves, allowing it to learn the underlying patterns of normal cloud features. …”
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A Global Attention Mechanism-Based EfficientNet Model for Road Pavement-Type Identification by Zhe-Yuan Ni, Jun-Cheng Wang

“…This enables the effective isolation of discriminative patterns, such as crack density, from complex backgrounds. …”
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Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3. by Cristina Savin, Peter Dayan, Máté Lengyel

“…A venerable history of classical work on autoassociative memory has significantly shaped our understanding of several features of the hippocampus, and most prominently of its CA3 area, in relation to memory storage and retrieval. …”
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The present study answers the research question: A corpus-based analysis of collocate directionality in academic English writing by Abdulaziz B. Sanosi

“…Such results can have implications for both collocation instruction and provide practical insights to develop academic writing skills. With these findings, educators can concentrate on teaching the syntactic features of collocations and emphasizing vocabulary instruction that prioritizes word pairs over individual words. …”
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PGDRT: Prediction Demand Based on Graph Convolutional Network for Regional Demand-Responsive Transport by Eunkyeong Lee, Hosik Choi, Do-Gyeong Kim

“…Therefore, it is necessary to establish a regional demand generation prediction model that reflects temporal features for efficient demand response service operations. …”
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Machine learning-based single-sample molecular classifier for cancer grading by Zoia Antysheva, Nikita Kotlov, Mariia V. Guryleva, Ivan Valiev, Viktor Svekolkin, Anna Belozerova, Sheila T. Yong, Dmitry Tabakov, Alexander Bagaev, Vladimir Kushnarev

“…Gene expression patterns as revealed by the classifier can provide useful information for both research and diagnostic purposes.…”
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Mathematical and geoinformation modeling of snowmelt process in the river drainage basins of the Kama region by V. G. Kalinin, A. A. Shaydulina, V. S. Rusakov, M. A. Fasakhov

“…Based on the temperature coefficient method, detailed digital maps and GIS-technologies, a model of spring snow melting has been developed. This model makes it possible to take into account the spatial distribution of meteorological information, features of the relief and soil-vegetation cover more accurately. …”
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Pregnancy course and perinatal outcomes in women with congenital heart valve disease by Yu. V. Bukhonkina1, R. I. Stryuk, G. V. Chizhova, V. B. Nemirovsky

“…All women gave birth at the specialised maternity centre in Moscow and the perinatal centre in Khabarovsk.Results. The features of CHVD in pregnant women reflected the population patterns and were represented by interventricular and interatrial septal defects, aortal coarctation, open arterial duct, pulmonary artery stenosis, and corrected “blue” heart valve disease. …”
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The Application of BiGRU-MSTA Based on Multi-Scale Temporal Attention Mechanism in Predicting the Remaining Life of Lithium-Ion Batteries by Luping Wang, Shanze Wang

“…This mechanism is integrated with the Bidirectional Gated Recurrent Unit (BiGRU) to develop the BiGRU-MSTA framework. This framework effectively captures multi-scale temporal features and enhances prediction accuracy, even with limited training data. …”
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Laryngeal involvement in relapsing polychondritis: clinical and CT findings in 173 patients by Zhengang Wang, Xiao Bai, Ruohan Yu

“…We aimed to characterise the clinical features and CT findings of laryngeal involvement in RP, hypothesising that specific CT patterns correlate with clinical manifestations.Methods We retrospectively analysed 173 patients with confirmed RP. …”
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