A hybrid LSTM-transformer model for accurate by Tianren Zhao, Yanhui Zhang, Minghao Wang, Wei Feng, Shengxian Cao, Gong Wang

“…The model employs LSTM modules to capture local temporal patterns, while the Transformer modules extract global dependencies through multi-head self-attention mechanisms. …”
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30th anniversary of the Ural school of drama: Institutions and persons by Oleg A. Bogaev

“…The purpose of the article is to identify patterns and features of the formation and development of the Ural School of Drama since the 1990s. up to the present time from the standpoint of institutions and persons in the socio-cultural context.…”
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Agglomerations of The Stavropol Region: Comparison of Spatial and Demographic Dynamics by V. M. Eshrokov, A. A. Cherkasov, N. V. Sopnev

“…The analysis was carried out at the level of cities, urban and municipal districts, which makes it possible to assess intra-agglomeration processes, whether they are uniform for the entire agglomeration or have spatial patterns.Conclusions. The analysis of demographic dynamics of two agglomerations of the Stavropol Krai allows the authors to draw conclusions. …”
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A Stepwise decision tree model for differential diagnosis of Kimura’s disease in the head and neck by Rui Luo, Gongxin Yang, Huimin Shi, Yining He, Yongshun Han, Zhen Tian, Yingwei Wu

“…Demographic and magnetic resonance imaging (MRI) data were collected, with qualitative features (e.g., skin thickening, lesion morphology, lymphadenopathy, MRI signal intensity) and quantitative variables (e.g., age, lesion size, apparent diffusion coefficients (ADCs), wash-in rate, time to peak (TTP), time-signal intensity curve (TIC) patterns) examined. …”
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Ependymosarcoma presenting as recurrence in a primary left parieto-occipital ependymoma by Pallavi Prasad, Harshita Baranwal, Neelima Gupta

“…Gliosarcoma is described as a variant of IDH-wildtype glioblastoma, comprising a biphasic tissue pattern with alternating areas displaying glial and mesenchymal differentiation. …”
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A Synoptic- and Remote Sensing-based Analysis of a Severe Dust Storm Event over Central Asia by Parya Broomandi, Kaveh Mohammadpour, Dimitris G. Kaskaoutis, Aram Fathian, Sabur F. Abdullaev, Vladimir A. Maslov, Amirhossein Nikfal, Ali Jahanbakhshi, Bakhyt Aubakirova, Jong Ryeol Kim, Alfrendo Satyanaga, Alireza Rashki, Nick Middleton

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Learning Developmental Age From 3D Infant Kinetics Using Adaptive Graph Neural Networks by Daniel Holmberg, Manu Airaksinen, Viviana Marchi, Andrea Guzzetta, Anna Tuiskula, Leena Haataja, Sampsa Vanhatalo, Teemu Roos

“…In this work, we introduce Kinetic Age (KA), a novel data-driven metric that quantifies neurodevelopmental maturity by predicting an infant’s age based on their movement patterns. KA offers an interpretable and generalizable proxy for motor development. …”
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Metabolic syndrome and pancreatic lesions by O. S. Shifrin, I. A. Sokolina, A. E. Leonovich, M. A. Ashitko, T. L. Lemina, A. V. Korolyov

“…Aim of investigation. To study features of pancreatic involvement in patients with metabolic syndromeMaterial and methods. …”
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CONSTITUTIVE MODEL FOR TIMBER FRACTURE USED FOR FE SIMULATION OF LVL ARCH by Eliška Šmídová, Petr Kabele

“…Furthermore, the model can capture the most distinctive features of the crack pattern.…”
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Smart Contract Security in Decentralized Finance: Enhancing Vulnerability Detection with Reinforcement Learning by Jose Juan de Leon, Cenchuan Zhang, Christos-Spyridon Koulouris, Francesca Medda, Rahul

“…This approach utilizes control flow graphs (CFGs) generated through EtherSolve to capture the semantic features of contract bytecode, enabling the reinforcement learning models to recognize patterns and make more accurate predictions. …”
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Peculiarities of forming quality parameters of commercial products of cutting lettuce (<i>Lactuca sativa var. capitata L.</i>) depending on the method of cultivation by Н. В. Лещук, О. Б. Барбан, О. П. Башкатова

“…Purpose. To investigate features of commercial head quality formation in varieties of cutting lettuce (Lactuca sativa var. capitata L.) for different growing methods. …”
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TWO DECADES OF ARCHAEOLOGICAL RESEARCH IN THE SOUTHERN DISTRICT OF THE CITY OF TROPAEUM TRAIANI (4th-6th CENTURIES AD.) AND OTHER DISCOVERIES. MAJOR SCIENTIFIC RESULTS by Gabriel Mircea TALMAȚCHI

“…Archaeological researches from the last decade, conducted in the southern neighborhood of the late Roman city Tropaeum Traiani, revealed a new civil imposing edifice, having a rectangular and axial plan, which corresponds to the „pattern” of the big Roman house, Domus type. Located west of cardo, this building brings new general and particular information regarding the plan metric and functional architectural development of such edifices, during the 4th-6th centuries AD. …”
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Comprehensive transcriptomic profiling reveals molecular characteristics and biomarkers associated with risk stratification in papillary thyroid carcinoma by Congcong Yan, Chen Zheng, Jiaxing Luo, Xue Wu, Xinyu Meng, Chaoyue Lv, Shurong Shen, Meng Zhou, Ouchen Wang

“…Comparative transcriptional profiling analysis revealed two functionally distinct patterns of gene dysregulation between the risk subtypes. …”
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Dynamic Quantification and Characterization of Spatial Heterogeneity in Mid-Sized Urban Landscape of India by Diksha, Varun Narayan Mishra, Deepak Kumar, Maya Kumari, Bashar Bashir, Malay Pramanik, Mohamed Zhran

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Characterization and comparative profiling of piRNAs in serum biopsies of pediatric Wilms tumor patients by Fatma S. Mohamed, Deena Jalal, Youssef M. Fadel, Samir F. El-Mashtoly, Wael Z. Khaled, Ahmed A. Sayed, Mohamed A. Ghazy

“…Their expression levels also significantly correlated with adverse pathological features, including metastasis, anaplasia, and bilateral WT development. …”
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Low-intensity behavioral activation smartphone app to support low mood: description, engagement and log data analysis by Paul Farrand, Patrick J. Raue, Earlise Ward, Sandra Healey, Jonathan Baker

“…Harnessing the potential of a mobile phone app to deliver a low-intensity behavioral activation intervention to support low mood presents a scalable solution to address these barriers. Located in the development phase of the MRC Complex Interventions Framework, this study describes the Iona Mind Wellbeing for Mood (IMWM) smartphone app and reports log data recognizing patterns of engagement with specific factor techniques associated with behavioral activation. …”
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To explore the potential of LOXL2 as a biomarker in glioma and construct a genomic integrated clinical prognostic model by Hongjuan Wang, Qunli Li, Xiangtao Zheng, Weibiao Chen

“…Analyzed LOXL2 expression patterns, GO/KEGG pathways, immune infiltration, single-cell distribution (scRNA-seq), and survival associations. …”
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Assessing Fire Regimes in the Paraguayan Chaco: Implications for Ecological and Fire Management by Cristina Vidal-Riveros, William Jefferson Watler Reyes, Marie Ange Ngo Bieng, Pablo Souza-Alonso

“…This study analyzed the fire regime in the highly diverse Paraguayan Chaco, focusing on different aspects of fire patterns, including spatial (area burned) and temporal (frequency) aspects and magnitude (severity). …”
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Exploring voluntary sector specialist services for victim-survivors of sexual violence in England: the PROSPER co-production study by Caroline Bradbury-Jones, Sarah Damery, Kirsten Fruin, Clare Gunby, Jenny Harlock, Lucy Hebberts, Louise Isham, Anne-Marie Jones, Fay Maxted, Amelia Mighty, Priti Parmar, Laura Patterson, Jason Schaub, Fee Scott, Harriet Smailes, Debs Smith, Julie Taylor

“…Investigate referral patterns and pathways, and how voluntary sector specialist services fit with each other and link to the wider network of services for victim-survivors. …”
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A Three‐Terminal Memristive Artificial Neuron with Tunable Firing Probability by Mila Lewerenz, Elias Passerini, Luca Weber, Markus Fischer, Nadia Jimenez Olalla, Raphael Gisler, Alexandros Emboras, Mathieu Luisier, Miklos Csontos, Ueli Koch, Juerg Leuthold

“…To date, the latter two key features are critically missing from the toolbox of artificial spiking neural network hardware, hindering the development of scalable and sustainable artificial intelligence (AI) platforms. …”
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