Genome-wide analysis of transcription factors during somatic embryogenesis in banana (Musa spp.) cv. Grand Naine. by Shivani, Praveen Awasthi, Vikrant Sharma, Navjot Kaur, Navneet Kaur, Pankaj Pandey, Siddharth Tiwari

“…All genes were analyzed for their structural features, subcellular, and chromosomal localization. …”
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A Computational Approach to Understanding Agglutinative Structures in Urdu by Muhammad Shoaib Tahir, Mahnoor Amjad

“…The study highlights key patterns, such as the prevalent use of prefixes like "نا-" (nā-) and "بد-" (bad-) to form words with negative connotations and the transformation of adjectives and verbs into nouns through suffixes like "-گی " (gī) and "-ی" (ī). …”
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Analysis of the epidemiological situation of true pemphigus in Azerbaijan in the process of long-term dynamics by G. Z. Faradzheva

“…The aim of this study was to study the epidemiological situation, dynamics and patterns of development of true acantholytic pemphigus in Azerbaijan, as well as to identify the features of the clinical course, taking into account new realities. …”
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Meteorological Assessment of Vertical Axis Wind Turbine Energy Microgeneration Potentials Across Two Swiss Cities Located in Complex Terrain by Aldo Brandi, Gabriele Manoli

“…These results highlight the need for research on urban wind energy featuring detailed city‐scale assessments that account for urban heterogeneities and regional circulation patterns, to inform future planning investments and engineering development.…”
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Onset of autoimmune hepatitis in children and adolescents considering disease phenotypes by M.B. Dyba

“…The study aimed to analyze the patterns of AIH onset in children and adolescents, considering its phenotypes. ­…”
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“Chatbot Communication” as an Object of Linguistic Research in the System of Digital Communications by S. V. Kiseleva, A. A. Smirnova, N. A. Trofimova

“…The topic is of particular interest to linguists, since the active development of the digital environment leads to the emergence of new means and forms of speech production and speech perception, with their own distinctive features, patterns and rules of construction. …”
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A hybrid LSTM-transformer model for accurate by Tianren Zhao, Yanhui Zhang, Minghao Wang, Wei Feng, Shengxian Cao, Gong Wang

“…These complementary features are fused to enable joint modeling of battery health states. …”
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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

“…At the present stage, demographic processes in the Stavropol Krai most intensively occur within the “borders” of the represented agglomerations; migration processes are observed leading to the population being drawn into the centers of agglomerations, which increases their role in the settlement system.The purpose of this study is to compare the spatial and demographic dynamics of agglomerations in the Stavropol Krai, highlighting common features in demographic processes and features characteristic of each agglomeration.Materials and research methods. …”
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Comprehensive molecular portrait reveals genetic diversity and distinct molecular subtypes of small intestinal neuroendocrine tumors by Céline Patte, Roxane M. Pommier, Anthony Ferrari, Felicia Fei-Lei Chung, Maria Ouzounova, Pauline Moullé, Mathieu Richaud, Rita Khoueiry, Maëva Hervieu, Silvia Breusa, Marion Allio, Nicolas Rama, Laura Gérard, Valérie Hervieu, Gilles Poncet, Tanguy Fenouil, Vincent Cahais, Anne-Sophie Sertier, Anne Boland, Delphine Bacq-Daian, Benjamin Ducarouge, Julien C. Marie, Jean-François Deleuze, Alain Viari, Jean-Yves Scoazec, Colette Roche, Patrick Mehlen, Thomas Walter, Benjamin Gibert

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An Informer-based multi-scale model that fuses memory factors and wavelet denoising for tidal prediction by Peng Lu, Yuchen He, Wenhui Li, Yuze Chen, Ru Kong, Teng Wang

“…Tidal time series are affected by a combination of astronomical, geological, meteorological, and anthropogenic factors, revealing non-stationary and multi-period features. The statistical features of non-stationary data vary over time, making it challenging for typical time series forecasting models to capture their dynamism. …”
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Acceptability of an AI-enabled family module in a mobile app for enhanced diabetes management: Patient and family perspectives by Sungwon Yoon, Rena Lau, Yu Heng Kwan, Huiyi Liu, Razeena Sahrin, Jie Kie Phang, Yichi Zhang, Nicholas Graves, Lian Leng Low

“…Objective To explore the acceptability of family support through an AI-enabled mobile app and identify preferences for its novel family module features among patients with type 2 diabetes (T2DM) and family members. …”
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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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Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study by Salah Bouktif, Akib Mohi Ud Din Khanday, Ali Ouni

“…In the future, strategies need to be developed to combat this deadly disease.…”
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Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models by Benedictor Alexander Nguchu, Benedictor Alexander Nguchu, Yifei Han, Yanming Wang, Peter Shaw

“…IntroductionParkinson’s disease (PD) heterogeneity poses challenges to the current development of discovering the best therapeutic targets.MethodsHere, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …”
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Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations by Jie Yang, Fanyan Ou, Binbin Li, Lixiong Zeng, Qiuli Chen, Houyu Gan, Jianing Yu, Qian Guo, Jihua Feng, Jianfeng Zhang

“…The SHAP algorithm was further used to quantify the contribution of each gene based on cell death features to the prediction of sepsis. Key PCD patterns were identified based on model evaluation metrics (Accuracy, Precision, Recall, F1 score, and Receiver Operating Characteristic Curve ROC), and their associated DEGs were obtained through intersection, followed by immune-related analysis of DEGs. …”
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Revealing Depression Through Social Media via Adaptive Gated Cross-Modal Fusion Augmented With Insights From Personality Traits by Gede Aditra Pradnyana, Wiwik Anggraeni, Eko Mulyanto Yuniarno, Mauridhi Hery Purnomo

“…DeXMAG effectively combines textual content, visual imagery, and user-level personality traits to capture the heterogeneous and individualized patterns of depressive expression across modalities. …”
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A Comprehensive Framework for Adaptive Electric Vehicle Charging Station Siting and Sizing Based on Transferable Spatio-Temporal Demand Prediction by Yutong Peng, Liqi Ye, Wenrui Ouyang, Qi Xi, Jing Wang, Xiaolin Wang

“…Under the global trend of promoting green development, the electric vehicle (EV) industry has entered a period of rapid growth. …”
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Targeting Lactate: An Emerging Strategy for Macrophage Regulation in Chronic Inflammation and Cancer by Rong Jiang, Wen-Jing Ren, Li-Ying Wang, Wei Zhang, Zhi-Hong Jiang, Guo-Yuan Zhu

“…The specific polarization patterns of macrophages in a high-lactate environment and their contribution to the progression of chronic inflammation and cancer remain contentious. …”
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SPECIFIC TRAITS OF HUNGARIAN-UKRAINIAN POETRY TRANSLATION (BASED ON YURII SHKROBYNETS’ TRANSLATIONS) by Oksana Yu. Talabirchuk

“…This [research] will contribute to the development of knowledge, skills and abilities that are necessary for a today’s Hungarian-Ukrainian translator. …”
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