GDText-VM: an arbitrary-shaped scene text detector based on globally deformable VMamba by Yingnan Zhao, Zheng Hu, Fangqi Ding, Jielin Jiang, Xiaolong Xu

“…This module facilitates the fusion of global channel and spatial features, effectively mitigating the impact of feature imbalance on fitting performance and significantly enhancing text detection accuracy. …”
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Leveraging ensemble convolutional neural networks and metaheuristic strategies for advanced kidney disease screening and classification by Abeer saber, Esraa Hassan, Samar Elbedwehy, Wael A. Awad, Tamer Z. Emara

“…Abstract To address the public health issue of renal failure and the global shortage of nephrologists, an AI-based system has been developed to automatically identify kidney diseases. …”
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Dissecting Morphological and Functional Dynamics of Non‐Tumorigenic and Triple‐Negative Breast Cancer Cell Lines Using PCA and t‐SNE Analysis by Yazan A. Almahdi, Eva R. Schwark, Aidan J. Mclaughlin, Besa Xhabija

“…In contrast, MCF10A cells exhibited larger sizes and more regular migration patterns, suggesting stability in structured tissue environments. …”
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Identifying Wet Troposphere Delay in L‐Band InSAR Using Weather Radar Reflectivity by Talib Oliver‐Cabrera, Cathleen E. Jones, Marc Simard, Bhuvan Varugu, Saoussen Belhadj‐Aissa

“…NEXRAD's 5‐min scanning interval, compared to UAVSAR's 30‐min revisit time, enabled detection of phase artifacts caused by fast‐moving and developing clouds. We identify regions in InSAR interferograms with troposphere‐induced phase artifacts by matching features common to InSAR phase outlier masks and NEXRAD high reflectivity masks. …”
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Search for antibacterial activity in a number of new S-derivatives (1,2,4-triazole-3(2H)-yl)methyl)thiopyrimidines by Yu. V. Karpenko, O. I. Panasenko

“…The obtained experimental results allowed to establish not only the role of the main structural features of the compounds in the manifestation of antimicrobial properties, but also to evaluate the effectiveness of the created classification and regression QSAR models. …”
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Characterizing the scale of regional landslide triggering from storm hydrometeorology by J. Perkins, N. S. Oakley, N. S. Oakley, B. D. Collins, S. C. Corbett, W. P. Burgess

“…Other factors, such as antecedent soil moisture driven by storm frequency and mesoscale precipitation features within storms, are instead more likely to dictate the patterns of landslide-generating rainfall throughout the state.…”
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A continuous real-world dataset comprising wearable-based heart rate variability alongside sleep diaries by Aitolkyn Baigutanova, Sungkyu Park, Marios Constantinides, Sang Won Lee, Daniele Quercia, Meeyoung Cha

“…The dataset aims to benchmark in-the-wild HRV recordings, enable future analyses in the field, and support the development of predictive analytics that use sleep patterns and wearable data as health indicators.…”
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Computer Based Body Exposure in Adolescents With Anorexia Nervosa: A Study Protocol by Valeska Stonawski, Lena Sasse, Gunther Moll, Oliver Kratz, Stefanie Horndasch

“…Body dissatisfaction is a core feature of eating disorders (EDs) and plays an essential role in the development and maintenance of anorexia nervosa (AN). …”
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Innovative Techniques for Enhancing the Reliability of Machine Learning Classifiers in Protein-Protein Interaction Hotspot Prediction by M. O. Otun

“…Key approaches include advanced feature engineering, integration of multi-omics data, ensemble learning methods, and the application of deep learning architectures. …”
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Conv1D-LSTM: Autonomous Breast Cancer Detection Using a One-Dimensional Convolutional Neural Network With Long Short-Term Memory by Mitanshi Rastogi, Meenu Vijarania, Neha Goel, Akshat Agrawal, Cresantus N. Biamba, Celestine Iwendi

“…The developed model has been assessed on on the extracted feature of the primary available dataset consisting of mammograms from over 760 patients. …”
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Spatiotemporal evolution and driving factors of the synergistic effects of pollution control and carbon reduction in China by Qinggang Meng, Xiaolan Chen, Hui Wang, Wanfang Shen, Peixin Duan, Xinyue Liu

“…The findings indicate that a preliminary model for coordinated development in PCCR has been established. However, regional disparities in PCCR, a persistent and dynamically evolving feature, manifested a spatial pattern of “higher in the east, lower in the west”. …”
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Analysis of the structural changes in domestic consumption of FUEL and energetic resources of Moscow by L. G. Moiseykina, E. S. Darda

“…The formation and development of the fuel and energy complex in Moscow is largely due to the rapidly developing economy of the megapolis – large-scale construction of housing and infrastructure, sustainable population growth entails a constant increase in consumption of fuel and energy resources. …”
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Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification by Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López

“…Importantly, the developed approach remains flexible with respect to the availability of clear temporal observations. …”
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How are cantonese sentence-final particles phonologically and semantically processed in the mind? by Lu Aitao, Wang Xuebin, Zhang Ye, Liu Siyi, Huang Xin, Jiang Lilan

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Causes and Factors of Changes in Consumer Behavior by Larisa Moskovceva, Svetlana Yazykova, Irina Shaposhnikova, Alina Orlova

“…Digital technologies that thrived during the pandemic shaped a new vector and patterns of consumer behavior that developed as part of pre-COVID global trends and during the pandemic. …”
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Machine learning based insights into cardiomyopathy and heart failure research: a bibliometric analysis from 2005 to 2024 by Muhammad Junaid Akram, Muhammad Junaid Akram, Asad Nawaz, Asad Nawaz, Yuan Yuxing, Yuan Yuxing, Jinpeng Zhang, Jinpeng Zhang, Huang Haixin, Huang Haixin, Lingjuan Liu, Lingjuan Liu, Xu Qian, Jie Tian, Jie Tian

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Theoretical Study and Application of Rate Transient Analysis on Complex Fractured-Caved Carbonate Reservoirs by Qingyan Yu, Qi Wang, Pengcheng Liu, Jing Zhang, Qi Zhang, Xiaojuan Deng, Kai Feng

“…Carbonate reservoirs are mainly fractured-caved reservoirs with very well-developed dissolved pores, fractures, and caves. They have strong heterogeneity with various types of reservoir pore spaces. …”
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Surgical Fixation of Bilateral Simultaneous Avulsion Fractures of the Proximal Tibia in a 12-Year-Old with History of Conservatively Managed Unilateral Tibial Avulsion Fracture by Christopher Newman, Dharsh Musiienko, Samuel Law

“…The specific anatomical and histological features of the proximal tibial epiphysis make it vulnerable to a specific fracture pattern that occurs when the tensile force of the quadriceps is greater than the fibrocartilaginous tissue underlying the tibial tuberosity. …”
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“Life of Constantine” by Eusebius of Caesarea as “sacred history”: a typology of Moses — Constantine by Maksim Prikhodko

“…Following the Logos, Constantine performs the same pattern Moses fulfilled in his life. In the development of the typological line of Moses-Constantine, three moments of the formation of the figure of Constantine in sacred history are traced: receiving the kingdom, accepting the ministry of the priesthood, and gaining the gift of prophecy. …”
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Myo‐Guide: A Machine Learning‐Based Web Application for Neuromuscular Disease Diagnosis With MRI by Jose Verdu‐Diaz, Carla Bolano‐Díaz, Alejandro Gonzalez‐Chamorro, Sam Fitzsimmons, Jodi Warman‐Chardon, Goknur Selen Kocak, Debora Mucida‐Alvim, Ian C. Smith, John Vissing, Nanna Scharff Poulsen, Sushan Luo, Cristina Domínguez‐González, Laura Bermejo‐Guerrero, David Gomez‐Andres, Javier Sotoca, Anna Pichiecchio, Silvia Nicolosi, Mauro Monforte, Claudia Brogna, Eugenio Mercuri, Jorge Alfredo Bevilacqua, Jorge Díaz‐Jara, Benjamín Pizarro‐Galleguillos, Peter Krkoska, Jorge Alonso‐Pérez, Montse Olivé, Erik H. Niks, Hermien E. Kan, James Lilleker, Mark Roberts, Bianca Buchignani, Jinhong Shin, Florence Esselin, Emmanuelle Le Bars, Anne Marie Childs, Edoardo Malfatti, Anna Sarkozy, Luke Perry, Sniya Sudhakar, Edmar Zanoteli, Filipe Tupinamba Di Pace, Emma Matthews, Shahram Attarian, David Bendahan, Matteo Garibaldi, Laura Fionda, Alicia Alonso‐Jiménez, Robert Carlier, Ali Asghar Okhovat, Shahriar Nafissi, Atchayaram Nalini, Seena Vengalil, Kieren Hollingsworth, Chiara Marini‐Bettolo, Volker Straub, Giorgio Tasca, Jaume Bacardit, Jordi Díaz‐Manera, the Myo‐Guide Consortium

“…This study presents a novel multi‐study harmonization pipeline for muscle MRI and an AI‐driven diagnostic tool to assist clinicians in identifying disease‐specific muscle involvement patterns. Methods We developed a preprocessing pipeline to standardize MRI fat content across datasets, minimizing source bias. …”
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