022. From Challenge to Favorable Outcome: Resection of Progressive and Regrowing Neurofibroma in A Male 18-Year-Old Patient: A Case Report by Sofyan Arissaputra, Zainal Abidin

“…Conclusion: Neurofibromatosis type 1 can cause various manifestations, including progressive and regrowing large neurofibromas. Early detection and prompt surgical intervention are essential for preventing complications.…”
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Partial volume effect correction impairs the diagnostic utility of [18F]-THK-5351 PET in nonfluent-agrammatic variant primary progressive aphasia by Patrick J. Sommer, Sebastian Schuster, Oliver Goldhardt, Nobuyuki Okamura, Felix Mueller-Sarnowski, Maximilian Scheifele, Florian Eckenweber, Annika Kreuzer, Maria Griessl, Peter Bartenstein, Thomas Wegehaupt, Lucas Wolski, Josef Priller, Axel Rominger, Leonie Beyer, Timo Grimmer, Matthias Brendel

“…Sensitivity/specificity of the visual read for detection of nfv-PPA was 0.85/1.00 without PVEC and 0.85/0.75 with PVEC. …”
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Simulation research on safety detection of pattern rope jumping motion based on large data background by Dongmei Wang

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Enhancing Early Drought Detection in Plants: The Consideration of Organ Sensitivity, Parameter Selection, and Measurement Timing by Guanqiang Zuo, Naijie Feng, Dianfeng Zheng

“…While advancements in photosynthetic parameter analysis (e.g., gas exchange, and chlorophyll fluorescence) have enhanced drought monitoring, three understudied factors limit progress: (1) differential drought sensitivity across plant organs (e.g., root nodules vs. leaves); (2) the selection of sensitive photosynthetic parameters and optimal measurement timing for stress detection; and (3) the identification of leaf layers most responsive to water deficits. …”
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Systematic Literature Review for Detecting Intrusions in Unmanned Aerial Vehicles Using Machine and Deep Learning by Abdulaziz A. Alzubaidi

“…Detecting these intrusions has recently gained attention in academia and industrial fields for addressing existing threats and developing detection frameworks, such as utilizing machine and deep learning algorithms. …”
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DLAT is involved in ovarian cancer progression by modulating lipid metabolism through the JAK2/STAT5A/SREBP1 signaling pathway by Hui Wang, Shen Luo, Yue Yin, Yang Liu, Xiaomei Sun, Ling Qiu, Xin Wu

“…Accumulated evidence highlights the pivotal role of reprogrammed lipid metabolism in fueling OC progression, however, the intricate underlying molecular mechanisms are not fully elucidated. …”
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Siamese-SAM: Remote Sensing Image Change Detection with Siamese Structure Segment Anything Model by Gang Wei, Yuqi Miao, Zhicheng Wang

“…Recent progress in foundational vision models, like the Segment Anything Model (SAM), has led to significant improvements in feature extraction. …”
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Allergenic potential of insect proteins: cross-reactivity, detection, degradation, and implications for food safety and labelling by Dongdong Ni

“…The need for establishing safety thresholds and labelling policies for insect-based food and feed should be considered, particularly in relation to cross-reactivity with seafood allergens. While significant progress has been made in allergen detection and risk assessment frameworks, there remains a lack of standardized guidelines for insect protein products. …”
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AI Enabled Threat Detection: Leveraging Artificial Intelligence for Advanced Security and Cyber Threat Mitigation by Kavitha Dhanushkodi, S. Thejas

“…This comprehensive review examines the role of artificial intelligence (AI) in enhancing threat detection and cybersecurity, focusing on recent advancements and ongoing challenges in this dynamic field. …”
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Constructing and evaluating ArabicStanceX: a social media dataset for Arabic stance detection by Ali Alkhathlan, Faris Alahmadi, Faris Kateb, Hend Al-Khalifa

“…Arabic stance detection has attracted significant interest due to the growing importance of social media in shaping public opinion. …”
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Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation by A. Srinivaas, N. R. Sakthivel, Binoy B. Nair

“…This paper concludes with a review of the progress in fault identification in ICE components and prospects, highlighted by an experimental investigation using 16 machine learning algorithms with seven feature selection techniques under three load conditions to detect faults in a four-cylinder ICE. …”
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Low-cost prototype for bearing failure detection using Tiny ML through vibration analysis by Andres Felipe Cotrino Herrera, Jesús Alfonso López Sotelo, Juan Carlos Blandón Andrade, Alonso Toro Lazo

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Enhanced YOLO11 for lightweight and accurate drone-based maritime search and rescue object detection. by Beigeng Zhao, Jiawen Zhao, Rui Song, Lizhi Yu, Xia Zhang, Jiren Liu

“…Recent advancements in the newly released YOLO11 model have demonstrated significant progress in general object detection tasks across everyday scenarios. …”
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A review of defect formation, detection, and effect on mechanical properties of three-dimensional braided composites by Guo Zeteng, Kong Xiangxia, Zhai Junjun, Zhang Ningxin, Yan Shi, Guo Runjia

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MXene-Based Gas Sensors for NH₃ Detection: Recent Developments and Applications by Yiyang Xu, Yinglin Wang, Zhaohui Lei, Chen Wang, Xiangli Meng, Pengfei Cheng

“…This study reviews the latest progress in the use of MXene and its composites for the low-temperature detection of ammonia gas. …”
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Few-shot network intrusion detection method based on multi-domain fusion and cross-attention. by Congyuan Xu, Donghui Li, Zihao Liu, Jun Yang, Qinfeng Shen, Ningbing Tong

“…Deep learning methods have achieved remarkable progress in network intrusion detection. However, their performance often deteriorates significantly in real-world scenarios characterized by limited attack samples and substantial domain shifts. …”
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Explainable AI in early autism detection: a literature review of interpretable machine learning approaches by Renuka Agrawal, Rucha Agrawal

“…Abstract Autism spectrum disorder (ASD) is a neurodevelopmental condition especially in children with a strong hereditary basis, making its early diagnosis challenging. Early detection of ASD enables individualized treatment programs that can improve social interactions, cognitive development, and communication abilities, hence lowering the long-term difficulties linked to the disorder. …”
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MFCANet: Multiscale Feature Context Aggregation Network for Oriented Object Detection in Remote-Sensing Images by Honghui Jiang, Tingting Luo, Hu Peng, Guozheng Zhang

“…Rotated object detection in remote sensing images presents a highly challenging task due to the extensive fields of view and complex backgrounds. …”
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Robust Small-Object Detection in Aerial Surveillance via Integrated Multi-Scale Probabilistic Framework by Youyou Li, Yuxiang Fang, Shixiong Zhou, Yicheng Zhang, Nuno Antunes Ribeiro

“…Although recent deep learning approaches have achieved notable progress, significant challenges persist, including severe object occlusion, extreme scale variation, dense panoramic clutter, and the detection of very small targets. …”
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Assessing the Generalization Capacity of Convolutional Neural Networks and Vision Transformers for Deforestation Detection in Tropical Biomes by P. J. Soto Vega, D. Lobo Torres, G. X. Andrade-Miranda, G. A. O. P. da Costa, R. Q. Feitosa

“…Deep Learning (DL) models, such as Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), have become popular for change detection tasks, including the deforestation mapping application. …”
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