A Real-World International Staging System (RW-ISS) for patients with newly diagnosed multiple myeloma by Christian Brieghel, Tobias Schmidt Slørdahl, Morten Nørgaard Andersen, Agoston Gyula Szabo, Carsten Utoft Niemann, Sigrún Thorsteinsdóttir

“…We thus developed a real-world international staging system (RW-ISS) from a 75% training cohort. Feature selection and weighted scores of high-risk variables from a Cox regression model of OS included age >70 years (2 points), performance status (PS) > 1 (2 points), PS 1 (1 point), t(14;16) (1 point), ISS III (1 point), ISS II (0.5 points), high lactate dehydrogenase (0.5 points), and del(17p) (0.5 points). …”
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Review of Surface-Defect Detection Methods for Industrial Products Based on Machine Vision by Quan Wang, Mengnan Wang, Jiadong Sun, Deji Chen, Pei Shi

“…Deep learning models are classified into two types: accuracy-oriented and efficiency-oriented. …”
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STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS by Jayakrishnan Anandakrishnan, Venkatesan Meenkaski Sundaram, Prabhavathy Paneer

“…The model also excels in other key evaluation metrics, establishing its overall effectiveness and efficiency compared to existing techniques.…”
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Deep learning-based image classification for AI-assisted integration of pathology and radiology in medical imaging by Lanting He, Lan Luan, Dan Hu

“…AMRI-Net enhances diagnostic accuracy by leveraging multi-resolution feature extraction, attention-guided fusion mechanisms, and task-specific decoders, allowing the model to accurately identify both detailed and overarching patterns across various imaging techniques, such as X-rays, CT, and MRI scans. …”
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Moisture prediction in chicken litter using hyperspectral data and machine learning by Ahmad Tulsi, Abdul Momin, Victoria Ayres

“…We employed two modeling approaches: Partial Least Squares Regression (PLSR) and Extreme Gradient Boosting (XGBoost), to assess performance using raw spectral data and under three preprocessing techniques designed to enhance data quality: Moving Average (MA), Multiplicative Scatter Correction (MSC), and Standard Normal Variate (SNV). …”
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Ensemble Algorithm Based on Gene Selection, Data Augmentation, and Boosting Approaches for Ovarian Cancer Classification by Zne-Jung Lee, Jing-Xun Cai, Liang-Hung Wang, Ming-Ren Yang

“…Data augmentation allows researchers to expand the dataset, providing a larger and more diverse set of examples for model training. Recent advances in machine learning and bioinformatics have shown promise in improving ovarian cancer classification based on gene information. …”
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Identification of M2 macrophage-related genes associated with diffuse large B-cell lymphoma via bioinformatics and machine learning approaches by Jiayi Zhang, Zhixiang Jia, Jiahui Zhang, Xiaohui Mu, Limei Ai

“…Subsequently, the constructed logistic regression model and nomogram demonstrated robust predictive performance. …”
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A Gene Ontology-Based Pipeline for Selecting Significant Gene Subsets in Biomedical Applications by Sergii Babichev, Oleg Yarema, Igor Liakh, Nataliia Shumylo

“…The growing volume and complexity of gene expression data necessitate biologically meaningful and statistically robust methods for feature selection to enhance the effectiveness of disease diagnosis systems. …”
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Few-shot relation extraction approach for threat intelligence based on multi-level attention mechanism and hybrid prototypical network by Yushun Xie, Junchi Bao, Rui Zong, Zhaoquan Gu, Haiyan Wang

“…Extensive experiments demonstrate that RETI-MA-HP achieves excellent performance across multiple tasks, attaining a maximum relation extraction accuracy of 75.44%, which constitutes a 15.5% improvement over compared models. …”
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Non-Alcoholic Beverages from Sprouted Buckwheat: Technology and Nutritional Value by Mariya L. Zenkova, Ludmila A. Melnikova, Valentina N. Timofeeva

“…The research objective was to study the effect of formulation on the production technology and nutritional value of non-alcoholic beverages from germinated buckwheat. The study featured water-grain and water-fruit-grain mixes, as well as model samples of buckwheat drinks fortified with various fruit components, e.g., sea buckthorn, black currant, apple, etc. …”
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NSMO-Based Adaptive Finite-Time Command-Filtered Backstepping Speed Controller for New Energy Hybrid Ship PMSM Propulsion System by Dan Zhang, Suijun Xiao, Hongfen Bai, Diju Gao, Baonan Wang

“…The Uncertainty Parameter-Adaptive law (UPAL) is designed based on Lyapunov theory to improve the robust performance of the system. The construction of a simulation model of a hybrid ship PMSM under four distinct working conditions, including constant speed and constant torque, the lifting and lowering of speed, loading and unloading, and white noise interference, is presented. …”
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Utilize Data Augmentation and Flexi Corner Block for Road Damage Detection by Zhaohui Wu, Runjing Zhao, Xingliang Sun, Zhaojia Li

“…On the other hand, the model exhibits robust generalization under adverse weather conditions, such as rain and snow, further validating its effectiveness in diverse environments.…”
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Quantifying the Enhancement of Sarcopenic Skeletal Muscle Preservation Through a Hybrid Exercise Program: Randomized Controlled Trial by Hongzhi Guo, Jianwei Cao, Shichun He, Meiqi Wei, Deyu Meng, Ichen Yu, Ziyi Wang, Xinyi Chang, Guang Yang, Ziheng Wang

“…In addition, we identified that the LightGBM classification model had the best performance to predict the reversion of sarcopenia.…”
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Continuously Variable Geometry Quadrotor: Robust Control via PSO-Optimized Sliding Mode Control by Foad Hamzeh, Siavash Fathollahi Dehkordi, Alireza Naeimifard, Afshin Abyaz

“…Unlike conventional fixed-geometry or discretely morphing unmanned aerial vehicles, this design’s continuous structural changes introduce significant complexities in modeling its time-varying moment of inertia. To address this, we propose a control strategy that decouples dynamic motion from the evolving geometry, allowing for the development of a robust control model. …”
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Acute Respiratory Distress Identification via Multi-Modality Using Deep Learning by Wajahat Nawaz, Kevin Albert, Philippe Jouvet, Rita Noumeir

“…Our method integrates color and depth data using deep convolutional neural networks with a late feature fusion scheme. We train and evaluate our model on a dataset of 153 patients with respiratory illnesses, 86 of whom have ARD of varying severity levels. …”
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AI-CMCA: a deep learning-based segmentation framework for capillary microfluidic chip analysis by Mahmood Khalghollah, Azam Zare, Esmaeil Shakeri, Behrouz Far, Amir Sanati-Nezhad

“…Among the five tested architectures, including U-Net, PAN, FPN, PSP-Net, and DeepLabV3+, the U-Net model with MobileNetV2 achieved the highest performance, with a validation IoU of 99.24% and an F1-score of 99.56%. …”
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User Experience Design for Online Sports Shoe Retail Platforms: An Empirical Analysis Based on Consumer Needs by Yixin Zou, Chao Zhao, Peter Childs, Dingbang Luh, Xiaoying Tang

“…The results indicate that webpage design and basic product information are considered as Must-be attributes for user experience needs; providing information on after-sales service policies and product comment, products’ special feature information, and online size testing are recognized as Performance attributes. …”
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SAVE: Self-Attention on Visual Embedding for Zero-Shot Generic Object Counting by Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila

“…While few-shot counting relies on delivering exemplars to the model to count similar class objects, zero-shot counting automates the operation for faster processing. …”
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Joint Image Deblurring and Matching with Blurred Invariant-Based Sparse Representation Prior by Yuanjie Shao, Nong Sang, Juncai Peng, Changxin Gao

“…Moreover, since the dimension of the pseudo-Zernike moment is much lower than the original image feature, our model can also increase the computational efficiency. …”
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A differential role for neuropeptides in acute and chronic adaptive responses to alcohol: behavioural and genetic analysis in Caenorhabditis elegans. by Philippa Mitchell, Richard Mould, James Dillon, Steven Glautier, Ioannis Andrianakis, Christopher James, Amanda Pugh, Lindy Holden-Dye, Vincent O'Connor

“…The paradigm employs a 'food race assay' which tests sensorimotor performance of animals acutely and chronically treated with ethanol. …”
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