Clinicopathological characterization of Switch/Sucrose-non-fermentable (Swi/Snf) complex (ARID1A, SMARCA2, SMARCA4)-deficient endocervical adenocarcinoma by Chao Cao, Zi-Yun Wu, Wei Liao, Li-Jun Wei, Hao-Yu Liang, Xia Yang, Rong-Zhen Luo, Li-Li Liu

“…This study aimed to evaluate the expression of Swi/Snf complex subunits in ECA and characterize the clinicopathological and immune microenvironment features of Swi/Snf-deficient ECA. Methods We evaluated 604 ECA using representative tissue microarrays, collected clinicopathologic data, reviewed histological features, and performed immunohistochemical staining for several Swi/Snf complex subunits, mismatch repair (MMR), immune cell markers, and immune checkpoint ligands proteins. …”
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PRAISE AS A SUBJECT OF INTERDISCIPLINARY RESEARCH by Nataly I. Palamar

“…Psychology considers the features and patterns of human behavior, thinking, states and qualities of man. …”
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Using explainable machine learning and eye-tracking for diagnosing autism spectrum and developmental language disorders in social attention tasks by Adoración Antolí, Adoración Antolí, Francisco Javier Rodriguez-Lozano, José Juan Cañas, Julia Vacas, Julia Vacas, Fátima Cuadrado, Fátima Cuadrado, Araceli Sánchez-Raya, Araceli Sánchez-Raya, Carolina Pérez-Dueñas, Carolina Pérez-Dueñas, Juan Carlos Gámez-Granados

“…Two key challenges must be addressed: the difficulty in reliably distinguishing between disorders with overlapping features, and the efficient management of eye-tracking data to yield clinically meaningful outcomes.PurposeThe aim of this study is to apply explainable machine learning (XML) algorithms to eye-tracking data from social attention tasks involving children with ASD, developmental language disorder (DLD), and typical development (TD), in order to assess classification accuracy and identify the variables that best differentiate between groups.MethodsNinety-three children participated in a visual preference task that paired social and non-social stimuli, specifically designed to capture features characteristic of ASD. …”
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DNA damage response signatures are associated with frontline chemotherapy response and routes of tumor evolution in extensive stage small cell lung cancer by Benjamin B. Morris, Simon Heeke, Yuanxin Xi, Lixia Diao, Qi Wang, Pedro Rocha, Edurne Arriola, Myung Chang Lee, Darren R. Tyson, Kyle Concannon, Kavya Ramkumar, C. Allison Stewart, Robert J. Cardnell, Runsheng Wang, Vito Quaranta, Jing Wang, John V. Heymach, Barzin Y. Nabet, David S. Shames, Carl M. Gay, Lauren A. Byers

“…SCLCs with elevated DDR phenotypes exhibit increased neuroendocrine features and decreased “inflamed” biomarkers, both within and across SCLC subtypes. …”
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ADVERTISEMENT AS A MEANS OF COMMUNICATION: THE CONTENT AND PECULIARITIES OF TRANSLATION by Inna M. Anataichuk, Olena V. Rutz, Viktoriya S. Sazonova

“…The purpose of the article is to establish the patterns and features of the creation of the outer verbal shell of the advertising text in order to determine the mechanism of influence of the encoded message on the recipient. …”
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Positive Psychotherapy in action: the “DYNAMICS” method for formulating basic conflicts by Ali Eryilmaz

“… Positive psychotherapy is a therapy model that stands out with its analytical and humanistic features. According to the positive psychotherapy approach, one of the important conflicts is the basic conflict. …”
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The Role of Metaphorical and Ironic Structures in Representing Hidden Behavioral and Verbal Ideologies of Shahad Al-Rawi’s Novel The Baghdad Clock using Andrew Goatly’s Speech Act... by Ali sayadani, yazdan Heydarpour Marand

“…His view shows the significance of metaphorical patterns in linguistic contexts for shaping specific social ideologies and practices. …”
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iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

“…As environmental sciences increasingly rely on complex datasets, machine learning (ML) has become crucial for identifying patterns and relationships. However, the integration of ML into workflows can pose challenges due to technical barriers or the time-intensive nature of coding. …”
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Adaptation to Soil Conditions of in vitro Regenerated Birch Lines Selected for Salinity Resistance by Olga S. Mashkina, Tat’yana M. Tabatskaya

“…The survival rate, growth and development of plants have been evaluated depending on age, substrate composition and adaptation patterns. …”
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Machine Learning-Assisted NIR Spectroscopy for Dynamic Monitoring of Leaf Potassium in Korla Fragrant Pear by Mingyang Yu, Weifan Fan, Junkai Zeng, Yang Li, Lanfei Wang, Hao Wang, Feng Han, Jianping Bao

“…Potassium (K), a critical macronutrient for the growth and development of Korla fragrant pear (Pyrus sinkiangensis Yu), plays a pivotal regulatory role in sugar-acid metabolism. …”
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Early Detection of Slight Bruises in Yellow Peaches (<i>Amygdalus persica</i>) Using Multispectral Structured-Illumination Reflectance Imaging and an Improved Ostu Method by Jian Wu, Chenlin Liu, Aiguo Ouyang, Bin Li, Nan Chen, Jing Wang, Yande Liu

“…A spatial frequency of 0.10 cycle <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mo>mm</mo><mrow><mo>−</mo><mn>1</mn></mrow></msup></semantics></math></inline-formula> and wavelength of 700 nm were determined to be optimal for acquiring pattern images based on the analysis of the pixel intensity curve of the AC image; then, the pattern images of all yellow peaches samples were obtained. …”
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Dependence on ultra-high doses of gabapentinoids: A case series by Arun Bansal, Bhavneesh Saini, Harman Rai, Jaskanwar S. Dhillon, Priyanka Bansal, Sumit Saini

“…Presenting patterns included use for euphoria, self-medication, and anxiety relief. …”
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Spatiotemporal Forecasting of Solar and Wind Energy Production: A Robust Deep Learning Model with Attention Framework by Md. Shadman Abid, Razzaqul Ahshan, Mohammed Al-Abri, Rashid Al Abri

“…In this context, a novel robust deep learning model, termed the Convolutional Neural Network-Bidirectional Long Short-Term Memory model with spatiotemporal attention mechanism (CNN-BiLSTM-STA), is developed in this study. The suggested model integrates the feature extraction expertise of CNNs with the sequence modeling proficiency of BiLSTM networks to capture spatial linkages and temporal interdependence adeptly. …”
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Linear-nonlinear cascades capture synaptic dynamics. by Julian Rossbroich, Daniel Trotter, John Beninger, Katalin Tóth, Richard Naud

“…This model can capture various experimentally observed features of synaptic dynamics and different types of heteroskedasticity. …”
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Quality of life on climacteric nursing professionals by Thamyres Campos Fonsêca, Mariana Nepomuceno Giron, Lina Márcia Miguéis Berardinelli, Lucia Helena Garcia Penna

“… The climacteric has some unique features, especially related to body function, where women experience changes of several orders in this period of life, then, it is important to study the quality of life of nursing professionals. …”
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AI-Driven Plant Health Assessment: A Comparative Analysis of Inception V3, ResNet-50 and ViT with SHAP for Accurate Disease Identification in Taro by Valeria Maeda-Gutiérrez, Juan José Oropeza-Valdez, Luis C. Reveles-Gómez, Cristian Padron-Manrique, Osbaldo Resendis-Antonio, Luis Octavio Solís-Sánchez, Hector A. Guerrero-Osuna, Carlos Alberto Olvera Olvera

“…The proposed models significantly improve the ability to recognize complex patterns and features, achieving high accuracy and robust performance in disease classification. …”
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Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning by ZHANG Hongrui, CAO Xin, JIANG Chao, ZU Anjun, XU Mingxiang

“…The feature attention mechanism identifies and weights key factors, including water pressure, temperature, and time effects, based on their varying contributions to dam deformation prediction. …”
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Identification of the Casparian strip integrity factor (CIF) gene family in Brassica napus and functional prediction of mature CIF small peptides by Miao Cheng, Hanbing Hu, Rui Chen, Ling He, Shanshan Wang, Yuling Zheng, Jiten Yadav, Hosam O. Elansary, Nisha Jaswal, Deepak Bhanot, Changli Zeng, Xiaoyun Liu

“…Conclusion Our study comprehensively identified BnCIFs in Brassica napus from aspects such as gene structure, phylogeny, chromosomal location, duplication and recombination, expression patterns, structural characteristics, conservation of mature small peptides after cleavage and processing, and their ability to bind to receptors. …”
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Russian President and local self-government: the evolution of relationships by M. Yu. Dityatkovsky

“…The paper examines the dynamics of the relationship between the Russian Presidents and local self-government, determines the five stages of the development of such relations and their characteristic features, as well as the prospects for these relations after the adoption of amendments to the Constitution of the Russian Federation in 2020.Stage 1. …”
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Case Report: Coexistence of Rosai-Dorfman disease and B-cell acute lymphoblastic leukemia in an adolescent by Alireza Jenabzadeh, Fariba Binesh, Amir Pasha Amel Shahbaz, Samin Alavi

“…Rosai–Dorfman disease (RDD) is an unusual, non-malignant proliferative disorder involving non-Langerhans cell histiocytes, characterized by a wide range of clinical presentations and distinctive atypical morphological patterns. The concurrent manifestation of acute lymphoblastic leukemia (ALL) alongside RDD is exceptionally rare. …”
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