Deep learning-based risk stratification of ductal carcinoma in situ using mammography and abbreviated breast magnetic resonance imaging by Tingfeng Zhang, Tingting Cui, Zhenjie Cao, Jintao Hu, Jintao Hu, Jie Ma

“…The model for invasive cases incorporated features Ki-67 status, lymph vascular invasion, and enhancement patterns, achieved an Area Under the Curve of 0.880, with 86.2% accuracy and an F1 score of 0.834. …”
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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

“…BackgroundGlioma is a common invasive tumor of the central nervous system, and its pathological features significantly impair the quality of life of patients, with high mortality risk and easy recurrence. …”
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SKA1/2/3 is a prognostic and predictive biomarker in esophageal adenocarcinoma and squamous cell carcinoma by Liming Zhang, Shaoqiang Wang, Lina Wang

“…The spindle and kinetochore associated complex subunit 1/2/3 (SKA1/2/3) attached to the kinetochore (KT) in the metaphase of mitosis are implicated in the occurrence and development of various tumors. However, the expression patterns, diagnostic significance and prognostic implications of SKA1/2/3 in ESCA have not been comprehensively determined. …”
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Research Progress on Information Model of Urban Green Space by Wei ZHANG, Yahan YAN

“…To meet the practical needs of urban green space planning and management, this research conducts digital simulations of the geometric forms and attribute information of green space plants, and proposes directions for further improvement of green space information models, including the construction of modeling standards, the development of sharing platforms, and the research on generative algorithms.ResultsThe structures and characteristics of green space plants differ from those of other urban components, and their digital representation methods need to be explored based on the spatial morphological features of the vegetation in green spaces. …”
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Mapping gene associations in human mitochondria using clinical disease phenotypes. by Curt Scharfe, Henry Horng-Shing Lu, Jutta K Neuenburg, Edward A Allen, Guan-Cheng Li, Thomas Klopstock, Tina M Cowan, Gregory M Enns, Ronald W Davis

“…This classification of phenotypic features of each gene allowed for the comparison of diseases between different genes. …”
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Enhancing Fake Review Detection Using Linguistic Exaggeration, BERT Embeddings, and Fuzzy Logic by Mohammed Ennaouri, Ahmed Zellou

“…Our method first preprocesses reviews and extracts key linguistic features based on extravagant words using a fuzzy logic-based membership function that highlights extreme linguistic patterns. …”
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Improving the Reliability of Biometric Authentication Processes Using a Model for Reducing Data Drift by Vladimir Zh. Kuklin, Naur Z. Ivanov, Alexander N. Muranov, Islam A. Alexandrov, Elena Yu. Linskaya

“…Modern complexes providing biometric identification face several problems, such as information drift caused by the variability of facial patterns, voice timbres, and current states. Information drift can characteristically exhibit short-term (subjects' states have changed) or long-term changes. …”
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Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome by Yifei He, Yoonmi Hong, Ye Wu

“…Except for tracking algorithms, different fiber filtering methods, along with the various biological features themselves, displayed more variable patterns of laterality change. …”
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First retrogressive thaw slump (RTS) inventory for the Kanin Peninsula (NW Russia) by Ionut Cristi Nicu, Lena Rubensdotter, Hakan Tanyaș, Luigi Lombardo

“…Using 2022 ESRI Wayback satellite imagery, we manually digitized 900 RTS polygons on the Kanin Peninsula (NW Russia), categorizing them into 633 inactive and 267 active features based on morphology and vegetation patterns. …”
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Alternative Splicing of Fibroblast Growth Factor Receptor IgIII Loops in Cancer by Klaus Holzmann, Thomas Grunt, Christine Heinzle, Sandra Sampl, Heinrich Steinhoff, Nicole Reichmann, Miriam Kleiter, Marlene Hauck, Brigitte Marian

“…This paper aims to summarize expression patterns in various tumor types and outlines possibilities for further analysis and application.…”
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Integrating Dimensional Analysis and Machine Learning for Predictive Maintenance of Francis Turbines in Sediment-Laden Flow by Álvaro Ospina, Ever Herrera Ríos, Jaime Jaramillo, Camilo A. Franco, Esteban A. Taborda, Farid B. Cortes

“…The synergy lies in DA’s ability to reduce dimensionality and identify meaningful features, which enhances the ML models’ interpretability, while ML leverages these features to model non-linear and time-dependent patterns that DA alone cannot address. …”
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Breeding of a new mid-to-late ripening apple cultivar Wangyuebingcui by XU Haihong, YANG Kai, LI Guangjin, ZHANG Guoqiang, TIAN Ge, AI Bohao, LI Xuqiang, WANG Junya

“…The cultivar combines high budbreak rate with moderate branching capacity, exhibiting spur-type growth pattern, sustained cluster-base productivity, and axillary flowering propensity. …”
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Application of Deep Learning Algorithm for Web Shell Detection in Web Application Security System by Rezky Yuranda, Edi Surya Negara

“…Through preprocessing techniques such as opcode extraction and feature selection, useful pattern recognition for web shell detection is achieved. …”
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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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Multisite study using a customised NLP model to predict disposition in the emergency department: protocol paper by Hamed Akhlaghi, Sam Freeman, Isuru Ranapanada, Md Ali Hossain, Kogul Srikandabala, Damminda Alahakoon, Md Anisur Rahman

“…Generative artificial intelligence, along with a medical dictionary, will be employed to augment and contextually reconstruct triage notes to disambiguate and improve linguistic quality. Text features will be extracted, and cluster analysis will be performed on the extracted topics and text features to identify distinct patterns.…”
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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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Sentences, entities, and keyphrases extraction from consumer health forums using multi-task learning by Tsaqif Naufal, Rahmad Mahendra, Alfan Farizki Wicaksono

“…Despite varying loss weights across our three-way MTL models, we did not identify a consistent pattern. While some configurations improved MER and KE performance, none surpassed the best pairwise MTL model for the SR task. …”
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