Segment anything model for few-shot medical image segmentation with domain tuning by Weili Shi, Penglong Zhang, Yuqin Li, Zhengang Jiang

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Beyond Anything Realism Can Represent? Monstrous Crime in Marx’s Victorian Novel by Jayson Althofer

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la nouvelle économie institutionelle : anything goes ?Paradigme problématique mais succès académique by Robert Boyer

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Pre-trained artificial intelligence-aided analysis of nanoparticles using the segment anything model by Gabriel A. A. Monteiro, Bruno A. A. Monteiro, Jefersson A. dos Santos, Alexander Wittemann

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ANYTHING NEW UNDER THE SUN?! EXPLORING FURTHER AVENUES FOR WRITING ANOTHER COMMENTARY ON CHRONICLES by L C Jonker

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Post‐Artesunate Delayed Hemolysis: Anything That Can Go Wrong Will Go Wrong—Murphy's Law by Beliza Chemutai, Muhammed Omar Ali, Jaimin Vinod Varsani, Derrick Bary Abila, Denis Can Odonga, Paska Apiyo, Felix Bongomin

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Progressive Self-Prompting Segment Anything Model for Salient Object Detection in Optical Remote Sensing Images by Xiaoning Zhang, Yi Yu, Daqun Li, Yuqing Wang

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Leveraging Segment Anything Model (SAM) for Weld Defect Detection in Industrial Ultrasonic B-Scan Images by Amir-M. Naddaf-Sh, Vinay S. Baburao, Hassan Zargarzadeh

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Semantic segmentation of glaciological features across multiple remote sensing platforms with the Segment Anything Model (SAM) by Siddharth Shankar, Leigh A. Stearns, C. J. van der Veen

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Tongue-LiteSAM: A Lightweight Model for Tongue Image Segmentation With Zero-Shot by Daiqing Tan, Hao Zang, Xinyue Zhang, Han Gao, Ji Wang, Zaijian Wang, Xing Zhai, Huixia Li, Yan Tang, Aiqing Han

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“I could not understand anything they said!”: Non-native English-speaking instructors, online learning, and student anxiety by McClure Katelyn Lee, Chen Hung-Tao Michael

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Segmentation of Any Fire Event (SAFE): A Rapid and High-Precision Approach for Burned Area Extraction Using Sentinel-2 Imagery by Shuaijun Liu, Yong Xue, Hui Chen, Yang Chen, Tianyu Zhan

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A Multispectral Automated Transfer Technique (MATT) for Machine-Driven Image Labeling Utilizing the Segment Anything Model (SAM) by James E. Gallagher, Aryav Gogia, Edward J. Oughton

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“(Virtuous) Wives Don’t Have Anything to Hide”: Understanding Digital Privacy Perceptions and Behavior of Married Women in Rural India by Debjani Chakraborty, Chhavi Garg

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ClassWise-SAM-Adapter: Parameter-Efficient Fine-Tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation by Xinyang Pu, Hecheng Jia, Linghao Zheng, Feng Wang, Feng Xu

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Tuning a SAM-Based Model With Multicognitive Visual Adapter to Remote Sensing Instance Segmentation by Linghao Zheng, Xinyang Pu, Su Zhang, Feng Xu

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Parkinson’s Disease in a Dish: What Patient Specific-Reprogrammed Somatic Cells Can Tell Us about Parkinson’s Disease, If Anything? by J. Drouin-Ouellet, R. A. Barker

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When Remote Sensing Meets Foundation Model: A Survey and Beyond by Chunlei Huo, Keming Chen, Shuaihao Zhang, Zeyu Wang, Heyu Yan, Jing Shen, Yuyang Hong, Geqi Qi, Hongmei Fang, Zihan Wang

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‘I Feel Disempowered Because I Could Not Do Anything’: Clinical Facilitators' Perception of Violence Towards Nursing Students During Clinical Placement by Hila Ariela Dafny, Paul Cooper, Nasreena Waheed, Stephanie Champion, Christine Mccloud, Nicole Snaith, Leeanne Pront

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