Construction and Evaluation of a Domain-Related Risk Model for Prognosis Prediction in Colorectal Cancer by Xiangjun Cui, Yongqiang Xing, Guoqing Liu, Hongyu Zhao, Zhenhua Yang

“…Validation confirmed their prognostic value, with significant differences in survival, clinical features, immune patterns, and immunotherapy responses between the high- and low-risk groups. …”
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Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification by Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, German Castellanos-Dominguez

“…They can also vary from person to person, which makes it harder to extract features and understand the signals. Additionally, this variability, influenced by genetic and cognitive factors, presents challenges for developing subject-independent solutions. …”
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INTRODUCTION by Ken HYLAND, Octavia-Raluca ZGLOBIU-SANDU, Andrada FĂTU-TUTOVEANU

“…LSP, whether focusing on academic or professional contexts of communication, attempts to discover the key rhetorical structures, language relationships and lexical patterns of target texts by exploring how language is used in specific contexts. …”
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The challenge of a late diagnosis of Autism Spectrum Disorder: co-occurring trajectories and camouflage tendencies. a case report of a young Autistic female with Avoidant Restricti... by Sara Passarini, Sara Passarini, Silvia Guerrera, Maria Picilli, Maria Picilli, Elisa Fucà, Laura Casula, Deny Menghini, Sabine Pirchio, Valeria Zanna, Giovanni Valeri, Stefano Vicari, Stefano Vicari

“…Both Autism Spectrum Disorder (ASD) and ARFID are characterized by the two main features of cognitive rigidity and sensory sensitivity, which may complicate differential diagnosis. …”
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Machine learning-based prognostic model for bloodstream infections in hematological malignancies using Th1/Th2 cytokines by Qin Li, Nan Lin, Zuheng Wang, Yuexi Chen, Yuli Xie, Xuemei Wang, Jirui Tang, Yuling Xu, Min Xu, Na Lu, Yiqian Huang, Jiamin Luo, Zhenfang Liu, Li Jing

“…This study aimed to analyze pathogen distribution, drug-resistance patterns and develop a novel predictive model for 30-day mortality in HM patients with BSIs. …”
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Flexible Learning by Design: Enhancing Faculty Digital Competence and Engagement Through the FLeD Project by Ana Afonso, Lina Morgado, Ingrid Noguera, Paloma Sepúlveda-Parrini, Davinia Hernandez-Leo, Shata N. Alkhasawneh, Maria João Spilker, Isabel Cristina Carvalho

“…Teacher participants co-designed and implemented flexible learning scenarios using the FLeD tool, which integrates pedagogical patterns, scaffolding strategies, and playful features. …”
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Digital media consumption from childhood to pre-adolescence: the research-action "One Bit at a Time" in Italy for Digital Education among children/teachers and families by Gabriele Lugaro, Jacopo Ferro, Cosimo Di Bari

“…The article outlines the results of a research and training project that examined the habits and patterns of digital device usage among 1,014 families with children aged 0-6 years and 7-11 years in the Liguria region. …”
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Pressurized Contrast‐Related Posterior Reversible Encephalopathy Syndrome After Cerebral Digital Subtraction Angiography by Lea Scherschinski, Tyler D. Schriber, Stefan W. Koester, Adam T. Eberle, Joshua S. Catapano, Ethan A. Winkler, Felipe C. Albuquerque, Michael T. Lawton, Andrew F. Ducruet, Ruchira M. Jha, Ashutosh P. Jadhav

“…Awareness of risk factors, pathophysiology, and clinical and radiographic patterns is crucial for accurate diagnosis.…”
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Classification of Beef, Goat, and Pork using GLCM Texture-Based Backpropagation Neural Network by Irma Saraswati, Rian Fahrizal, Anugrah Nuur Fauzan, Muchtar Ali Setyo Yudono

“…This research makes a significant contribution to developing a meat identification system that safeguards consumers and promotes awareness of food safety issues. …”
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Navigating the Dynamics: Modeling of Wave Propagation at Taiping Bay Port for Enhanced Design and Management by Dachuan He, Xi Zhang, Yakun Liu, Zhi Chen, Xiangjun Nie, Ke Wang

“…Our findings elucidate the intricate wave patterns and transformations within the harbor, highlighting the significant impact of the deep navigation channel on wave attenuation. …”
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Image-Text Joint Learning for Social Images with Spatial Relation Model by Jiangfan Feng, Xuejun Fu, Yao Zhou, Yuling Zhu, Xiaobo Luo

“…The rapid developments in sensor technology and mobile devices bring a flourish of social images, and large-scale social images have attracted increasing attention to researchers. …”
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Nickel Ion Induced Multistage Assembly of Th13 Cluster by Kong-Qiu Hu, Jun-Xi Wang, Qun-Yan Wu, Zhi-Wei Huang, Zhi-Heng Zhou, Jin-Dong Wang, Xiao-Bo Li, Ji-Pan Yu, Zhi-Hui Zhang, Lei Mei, Yong-De Yan, Wei-Qun Shi

“…However, the actinide clusters still remain much less developed compared to the splendid and systematic works of other members of this family. …”
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Knowledge Graph-Augmented ERNIE-CNN Method for Risk Assessment in Secondary Power System Operations by Xiang Huang, Ping Li, Ye Wang, Xuchao Ren, Zhenbing Zhao, Gang Li

“…Second, an improved ERNIE-CNN model is developed, incorporating an attention mechanism to effectively fuse semantic features and spatial patterns from operational texts. …”
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Preoperative prediction for early recurrence in patients with pancreatic ductal adenocarcinoma: combining radiomics and abdominal fat analysis by Suo Yu Yan, Fang Ming Chen, Bang Jun Guo, Su Hu, Li Lin, Yi Wen Yang, Xin Yu Jiang, Hui Yao, Chun Hong Hu, Yun Yan Su

“…All patients were divided into four subgroups according to recurrence patterns: local recurrence subgroup, distant recurrence subgroup, “local + distant” recurrence subgroup, and “multiple” recurrence subgroup. …”
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Multisource Topographic-Enhanced Cloud Removal for Remote Sensing in Mountainous Landscapes by Meryeme Boumahdi, Consuelo Gonzalo-Martin, Mario Lillo-Saavedra, Marcelo Somos-Valenzuela, Angel Garcia-Pedrero

“…To overcome this obstacle, various cloud removal techniques have been developed, although they tend to struggle in such landscapes. …”
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Multi-omic and machine learning analysis of mitochondrial RNA modification genes in lung adenocarcinoma for prognostic and therapeutic implications by Xiao Zhang, Jiatao Liu, Yaolin Cao, Wei Wang, Haoran Lin, Yue Yu

“…Integrating multi-omic datasets, we systematically explored the molecular features of MRM-related genes across various cancers and identified distinct expression patterns and prognostic associations. …”
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Deep Learning Innovations: ResNet Applied to SAR and Sentinel-2 Imagery by Giuliana Bilotta, Luigi Bibbò, Giuseppe M. Meduri, Emanuela Genovese, Vincenzo Barrile

“…ResNet, noted for its deep residual learning capabilities, significantly enhances the classifier’s proficiency in identifying intricate patterns and features from high-resolution images. …”
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Paleogeomorphology reconstruction and its control on sand dispersal systems: a case study from the Pinghu formation in the Hangzhou slope belt, Xihu Sag, East China sea shelf basin by Lanzhi Qin, Jie Xu, Jie Xu, Jie Xu, Donghao Xu, Hao Liu, Hao Liu, Hao Liu, Kun Cai

“…This study applies the seismic virtual extrapolation method and mudstone sonic analysis to reconstruct the paleogeomorphology of the Pinghu Formation in the Hang-zhou Slope Belt of the Xihu Sag, aiming to elucidate the control of paleogeomorphic features on sedimentary sand body distribution. Based on detailed geological investigation and sedimentary analysis, combined with paleogeomorphic reconstruction techniques, geomorphic units and their spatial assemblages are identified, and the mechanisms by which variations in paleogeomorphic morphology and slope gradient influence sediment dispersal patterns are revealed. …”
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The Architectural Production of India’s Everyday Modernism: Middle-class Housing in Pune, (1960-1980) by Sarah Melsens, Inge Bertels, Amit Srivastava

“…The large-scale appropriation of modernist architectural features in everyday housing projects in postcolonial India is remarkable. …”
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A Comprehensive Analysis of Imbalance Signal Prediction in the Japanese Electricity Market Using Machine Learning Techniques by Kaiyao Jiang, Yuji Yamada

“…By incorporating a diverse range of features—including lagged imbalance data, weather forecast errors specific to Japan, and temporal patterns—we demonstrate that the prediction accuracy of imbalance signals is significantly improved compared to a baseline reflecting random forecasts based on class distribution observed during the initial training period. …”
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