Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges by Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme

“…Abstract Background The ability of machine learning (ML) to process and learn from large quantities of heterogeneous patient data is gaining attention in the precision oncology community. …”
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Toward Model-Independent Separative Training for Deep Hyperspectral Anomaly Detection With Mask Guidance by Xi Su, Xiangfei Shen, Haijun Liu, Lihui Chen, Gemine Vivone, Xichuan Zhou

“…In addition, to demonstrate its model-independent ability, we applied our training strategy to different deep network structures, achieving improved detection performance compared to their original versions.…”
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Co‐expression of HSV‐1 ICP34.5 enhances the expression of gene delivered by self‐amplifying RNA and mitigates its immunogenicity by Xuemin Lu, Yabin Wu, Chunye Zhao, Jie Zheng, Shangwu Chen, Yigang Wang, Yulong Xia

“…To mitigate the stimulatory effects on PRRs and enhance the translation efficiency of saRNA, this study employs the saRNA‐encoding HSV‐1 neurovirulence protein ICP34.5, which is known for its ability to counteract the effects of PKR activation, potentially improving the translation efficiency of saRNA. …”
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Volcanic Activity Classification Through Semi-Supervised Learning Applied to Satellite Radiance Time Series by Francesco Spina, Giuseppe Bilotta, Annalisa Cappello, Marco Spina, Francesco Zuccarello, Gaetana Ganci

“…The huge influx of such data requires the development of automated systems for efficient processing and interpretation. Early warning systems, designed to process satellite imagery to identify signs of impending eruptions and monitor eruptive activity in near real-time, are essential for hazard assessment and risk mitigation. …”
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Fast Fourier Asymmetric Context Aggregation Network: A Controllable Photo-Realistic Clothing Image Synthesis Method Using Asymmetric Context Aggregation Mechanism by Haopeng Lei, Ying Hu, Mingwen Wang, Meihai Ding, Zhen Li, Guoliang Luo

“…In the FCAN, we introduce the Asymmetric Context Aggregation Mechanism (ACAM), which leverages multi-scale and multi-stage heterogeneous features to achieve efficient global visual context modeling, significantly enhancing the model’s ability to integrate guiding information. …”
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EmotionNet-X: An Optimized CNN Architecture for Robust Facial Emotion Analysis by Syed Muhammad Aqleem Abbas, Qaisar Abbas, Syed Muhammad Naqi

“…This is primarily due to their inherent ability to extract features from images automatically. …”
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Prediction of Vehicle Interior Wind Noise Based on Shape Features Using the WOA-Xception Model by Yan Ma, Hongwei Yi, Long Ma, Yuwei Deng, Jifeng Wang, Yudong Wu, Yuming Peng

“…In order to confront the challenge of efficiently evaluating interior wind noise levels in passenger vehicles during the early stages of shape design, this paper proposes a methodology for predicting interior wind noise. …”
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Significance of the Powder Metallurgy Approach and Its Processing Parameters on the Mechanical Behavior of Magnesium-Based Materials by Sachin Kumar Sharma, Sandra Gajević, Lokesh Kumar Sharma, Dhanesh G. Mohan, Yogesh Sharma, Mladen Radojković, Blaža Stojanović

“…PM is identified as the most efficient due to its ability to produce near-net shape composites with high precision, cost-effectiveness, and minimal waste. …”
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LLM4TDG: test-driven generation of large language models based on enhanced constraint reasoning by Jingqiang Liu, Ruigang Liang, Xiaoxi Zhu, Yue Zhang, Yuling Liu, Qixu Liu

“…By formally defining the constraint dependency graph and converting it into context constraints, LLMs’ ability to understand natural language descriptions such as test requirements and documents is enhanced. …”
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MSUD-YOLO: A Novel Multiscale Small Object Detection Model for UAV Aerial Images by Xiaofeng Zhao, Hui Zhang, Wenwen Zhang, Junyi Ma, Chenxiao Li, Yao Ding, Zhili Zhang

“…First, the model uses an attention scale sequence fusion mode to achieve more efficient multiscale feature fusion. Meanwhile, a tiny prediction head is incorporated to make the model focus on the low-level features, thus improving its ability to detect small objects. …”
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A droplet digital PCR assay to measure pilin antigenic variation frequency in Neisseria gonorrhoeae by Sarah J. Quillin, Di Luo, Aoife Gavagan, Arthur Prindle, H Steven Seifert

“…Gc vaccines have been hindered by Gc’s ability to evade immune surveillance in part by varying its major surface antigens like the type IV pilus. …”
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Application and progress of temperature-sensitive hydrogels in cartilage injury repair by Long Yu, Long Yu, Kunhao She, Kunhao She, Rui He, Rui He, Qingyu Xu, Qingyu Xu

“…Due to its unique characteristics of being vascularless, neuralless, and without lymphoid tissue, as well as the poor proliferation and migration ability of chondrocytes, the self-repair ability of cartilage after injury is limited. …”
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GLR: Graph Chain-of-Thought with LoRA Fine-Tuning and Confidence Ranking for Knowledge Graph Completion by Yifei Chen, Xuliang Duan, Yan Guo

“…Specifically, Graph-CoT introduces local subgraph structures to guide LLMs in performing graph-constrained, step-wise reasoning, improving their ability to model multi-hop relational patterns. Complementing this, LoRA-based fine-tuning enables efficient adaptation of LLMs to the KGC scenario with minimal computational overhead, further enhancing the model’s capability for graph-structured reasoning. …”
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An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem by Muhammad Suhail Shaikh, Haoyue Lin, Senlin Xie, Xiaoqing Dong, Yifan Lin, Chandan Kumar Shiva, Wulfran Fendzi Mbasso

“…GWO and PSO are well-known heuristic algorithms with efficient search ability and reasonable execution time. …”
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DE-Unet: Dual-Encoder U-Net for Ultra-High Resolution Remote Sensing Image Segmentation by Ye Liu, Shitao Song, Miaohui Wang, Hao Gao, Jun Liu

“…To address these issues, we propose in this article a CNN-based dual-encoder U-Net for effective and efficient UHR image segmentation. Our method incorporates dual encoders into the symmetrical framework of U-Net. …”
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Membrane Filtration of Nanoscale Biomaterials: Model System and Membrane Performance Evaluation for AAV2 Viral Vector Clarification and Recovery by Mara Leach, Kearstin Edmonds, Emily Ingram, Rebecca Dutch, Ranil Wickramasinghe, Malgorzata Chwatko, Dibakar Bhattacharyya

“…These filtration systems were then assessed for their ability to recover nanoscale viral vectors while reducing DNA (without the need for endonuclease treatment), protein, and turbidity. …”
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Recognition of Maize Tassels Based on Improved YOLOv8 and Unmanned Aerial Vehicles RGB Images by Jiahao Wei, Ruirui Wang, Shi Wei, Xiaoyan Wang, Shicheng Xu

“…In the new network, a microscale target detection head is added to increase the ability to perceive small-sized maize tassels; In addition, Spatial Pyramid Pooling—Fast (SPPF) is replaced by the Spatial Pyramid Pooling with Efficient Layer Aggregation Network (SPPELAN) in the backbone network part to connect different levels of detailed features and semantic information. …”
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A study on temperature, relative humidity, and energy consumption in long-distance trains air conditioning systems in Indonesia by Fathurrahman Yudhi, Muhammad Idrus Alhamid, Nandy Putra, Arnas Lubis

“…Trains are efficient and cost-effective means of public transportation capable of carrying large groups of passengers. …”
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DESIGN OF LENS ANTENNA WITH PLANAR ORTHOMODE TRANSDUCER FOR 28 GHZ FIXED SERVICE COMMUNICATION SYSTEMS by Andrey V. Mozharovskiy

“…Development of the integrated lens antenna with the ability to operate on two orthogonal linear polarizations to separate the transmitted and received signals by polarization and, therefore, to create more efficient use of the spectrum. …”
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What can be lost? Genomic perspective on the lipid metabolism of Mucoromycota by Blanka Sokołowska, Małgorzata Orłowska, Alicja Okrasińska, Sebastian Piłsyk, Julia Pawłowska, Anna Muszewska

“…Some strains have been selected as promising biotechnological organisms due to their ability to produce polyunsaturated fatty acids and efficient conversion of nutrients into lipids. …”
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