INTENSIFIERS IN ITALIAN IN TRANSIT: TRACING BIOGRAPHICAL EXPERIENCES THROUGH LANGUAGE PRACTICES by Marta Lupica Spagnolo

“…IiT partly shares this feature with Italian youth varieties, colloquial French, and some Italian-based contact varieties developed outside Italy. …”
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Characteristics, Outcomes and Mortality Risk Factors of Pediatric In-Hospital Cardiac Arrest in Western China: A Retrospective Study Using Utstein Style by Jiaoyang Cao, Jing Song, Baoju Shan, Changxin Zhu, Liping Tan

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Machine learning of clinical phenotypes facilitates autism screening and identifies novel subgroups with distinct transcriptomic profiles by Wasana Yuwattana, Thanit Saeliw, Marlieke Lisanne van Erp, Chayanit Poolcharoen, Songphon Kanlayaprasit, Pon Trairatvorakul, Weerasak Chonchaiya, Valerie W. Hu, Tewarit Sarachana

“…Clustering analyses revealed three distinct subgroups identifiable through both clinical symptoms and gene expression patterns. When ASD were grouped based on clinical features, stronger associations emerged between symptoms and underlying molecular profiles compared to grouping based on gene expression alone. …”
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Logging identification of karstified Jurassic conglomerate aquifer in the Zhuxianzhuang coal mine: implications for water abundance heterogeneity and mining risk mitigation by Zhu Guanyu, Zhu Guanyu, Jiang Bo, Jiang Bo, Li Ming, Li Ming, Song Yu, Song Yu, Cheng Guoxi, Cheng Guoxi

“…The Jurassic conglomerate aquifer in the coal seam roof of Zhuxianzhuang Coal Mine in the Huaibei Coalfield exhibits significant karst and water-rich heterogeneity, and its geological patterns remain poorly understood. This study systematically investigates the lithology, stratigraphy, structural characteristics, karst features, and hydrogeological conditions of the Jurassic conglomerate aquifer. …”
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Genome-wide identification and characterization of the CCT gene family in Chinese cabbage (Brassica rapa) response to abiotic stress by Haoqi Liu, Zhiyuan Yin, Mengping Qiu, Yan Yang, Ye Xu, Han Wang, Min Yan, Guohua Xu

“…Conclusions In this study, 66 CCT genes were identified in Brassica rapa, and their phylogenetic relationships, gene structural features, duplication events, gene expression, and potential roles in Brassica rapa development were investigated. …”
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Research Progress on the GP3 Protein of Porcine Reproductive and Respiratory Syndrome Virus by Chen Lv, Zhiyu Yang, Xiaolin Lan, Fang Liang, Weili Kong, Ruining Wang, Mengmeng Zhao

“…This review summarizes the structural features, genetic evolutionary patterns, glycosylation of GP3 and its interactions with other PRRSV and host proteins, associations with PRRSV infection and virulence, and immunomodulatory roles. …”
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Exploring the Role of Allergenic Components in Children with House Dust Mite-Induced Allergic Diseases by Xu Q, Shang Y, Li X, Ran S, Lu M, Cheng L

“…Pearson correlation analysis demonstrated strong positive correlations between sIgE concentrations for various HDM components, especially between Der p 2 and Der f 2 (r = 0.96, p < 0.01).Conclusion: Der p 1, Der f 1, Der p 2, Der f 2, and Der f 23 are the major allergens, with Der p 5, 7, and 23 showing age-specific sensitization patterns. Der p 2 and Der f 2 are closely associated with respiratory allergies, whereas Der p 23 is particularly linked to the development of asthma. …”
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The role of VANGL2 in glioma oncogenesis and progression: insights into expression profiles and prognostic relevance by Mingyu Zhao, Mingyu Zhao, Mingyu Zhao, Mingyu Zhao, Shanshuang Chen, Shanshuang Chen, Shanshuang Chen, Shanshuang Chen

“…Our study focused on VANGL2, a core PCP gene, to elucidate its potential mechanistic involvement in cancer development.MethodsA systematic analysis was conducted to assess VANGL2 expression patterns at both transcriptional and proteomic levels. …”
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DAFDM: A Discerning Deep Learning Model for Active Fire Detection Based on Landsat-8 Imagery by Xu Gao, Wenzhong Shi, Min Zhang, Lukang Wang

“…This method is anticipated to further contribute to AF monitoring and wildfire development pattern analysis.…”
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A Novel Radiology-Adapted Logistic Model for Non-Invasive Risk Stratification of Pigmented Superficial Skin Lesions: A Methodological Pilot Study by Betül Tiryaki Baştuğ, Hatice Gencer Başol, Buket Dursun Çoban, Sinan Topuz, Özlem Türelik

“…This methodological pilot study was designed to explore the feasibility and initial diagnostic performance of a novel radiology-adapted logistic regression approach. To develop and preliminarily evaluate a new logistic model integrating both structural (lesion size, depth) and vascular (Doppler patterns) ultrasonographic features for non-invasive risk stratification of pigmented superficial skin lesions. …”
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Determination of Bioactive Components in Chrysanthemum Tea (Gongju) Using Hyperspectral Imaging Technique and Chemometrics by Yunpeng Wei, Huiqiang Hu, Minghua Yuan, Huaxing Xu, Xiaobo Mao, Yuping Zhao, Luqi Huang

“…Combining hyperspectral imaging (HSI) with key wavelength selection and pattern recognition methods, this study developed a novel approach to estimating the content of bioactive components in chrysanthemums, including the total flavonoids (TFs) and chlorogenic acids (TCAs). …”
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A Study on the Spatiotemporal Heterogeneity and Driving Forces of Ecological Resilience in the Economic Belt on the Northern Slope of the Tianshan Mountains by Keqi Li, Qingwu Yan, Zihao Wu, Guie Li, Minghao Yi, Xiaosong Ma

“…The overall distribution pattern exhibited a spatial feature of south higher, north lower, where the southern region displayed a clear high-high clustering characteristic, exerting a positive and radiating influence on surrounding areas. (2) The main driving factors of the spatial heterogeneity are DEM, precipitation, NPP, GDP, and PM2.5. …”
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Machine Learning Insights into the Last 400 Years of Etna Lateral Eruptions from Historical Volcanological Data by Arianna Beatrice Malaguti, Claudia Corradino, Alessandro La Spina, Stefano Branca, Ciro Del Negro

“…Hazard assessment can be supported by Artificial Intelligence (AI) techniques, such as machine learning, which are used for data exploration to identify features of interest in the data. Here, we applied a machine learning technique to automate the analysis of these datasets, handling intricate patterns that are not easily captured by explicit commands. …”
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First retrogressive thaw slump (RTS) inventory for the Kanin Peninsula (NW Russia) by Ionut Cristi Nicu, Lena Rubensdotter, Hakan Tanyaș, Luigi Lombardo

“…Using 2022 ESRI Wayback satellite imagery, we manually digitized 900 RTS polygons on the Kanin Peninsula (NW Russia), categorizing them into 633 inactive and 267 active features based on morphology and vegetation patterns. …”
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Cloud information system «Redactor.Online» for the create of periodic scientific-educational editions by E. V. Golubev, A. G. Marakhtanov, O. Yu. Nasadkina

“…The aim of the research is the development of concepts, models, patterns, architecture of such a system, the choice of software implementation. …”
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Multi-tissue transcriptomic characterization of endogenous retrovirus-derived transcripts in Capra hircus by Ming-Di Li, Ming-Di Li, Hu-Rong Li, Shao-Hui Ye

“…However, the expression pattern of TEs in those less studied species, like goat (Capra hircus), remains unclear. …”
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Nutrient-adequate diets with the lowest greenhouse gas emissions or price are the least acceptable—insights from dietary optimisation modelling using the iOTA model® by Mahya Tavan, Nick W. Smith, Andrew J. Fletcher, Andrew J. Fletcher, Jeremy P. Hill, Jeremy P. Hill, Warren C. McNabb

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THE PHENOMENON OF VIRTUAL IDENTITY: THE CONTEMPORARY CONDITION OF THE PROBLEM by E. L. Soldatova, D. N. Pogorelov

“…The concepts “real identity” and “virtual identity” are viewed in relation to each other; the features and risks of virtual identity formation are revealed. …”
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Grounded ridge detection and characterization along the Alaska Arctic coastline using ICESat-2 surface height retrievals by K. A. Lange, A. C. Bradley, K. Duncan, S. L. Farrell

“…<p>Grounded sea ice ridges are important morphological features that stabilize shorefast ice along Arctic coastlines. …”
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From light sensing to adaptive learning: hafnium diselenide reconfigurable memcapacitive devices in neuromorphic computing by Bashayr Alqahtani, Hanrui Li, Abdul Momin Syed, Nazek El-Atab

“…Abstract Advancements in neuromorphic computing have given an impetus to the development of systems with adaptive behavior, dynamic responses, and energy efficiency characteristics. …”
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