Subsequent primary cancer risk and mortality among premenopausal breast cancer survivors by Mei Yang, Zhihuai Wang, Jiao Xue, Jianbo Dai, Chunfu Zhu, Xihu Qin

“…However, less is known about the risk pattern of subsequent primary cancer (SPC) and noncancer diseases among them. …”
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The m6A modification of LINC01133 suppresses ER+ breast cancer progression by modulating IGF2BP2 protein stability via a ubiquitination-dependent mechanism by Mai-dong Li, Mai-dong Li, Ben-jie Shan, Lei Wang, Shuang Gao, Li Hao, Hai-yang Yu, Yue-yin Pan, Yue-yin Pan

“…BackgroundBreast cancer is characterized as highly heterogenous and is a representative model to understand how molecular features of tumor biology determine therapeutic strategy. …”
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Multisource Topographic-Enhanced Cloud Removal for Remote Sensing in Mountainous Landscapes by Meryeme Boumahdi, Consuelo Gonzalo-Martin, Mario Lillo-Saavedra, Marcelo Somos-Valenzuela, Angel Garcia-Pedrero

“…To overcome this obstacle, various cloud removal techniques have been developed, although they tend to struggle in such landscapes. …”
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A Smartphone-Based Non-Destructive Multimodal Deep Learning Approach Using pH-Sensitive Pitaya Peel Films for Real-Time Fish Freshness Detection by Yixuan Pan, Yujie Wang, Yuzhe Zhou, Jiacheng Zhou, Manxi Chen, Dongling Liu, Feier Li, Can Liu, Mingwan Zeng, Dongjing Jiang, Xiangyang Yuan, Hejun Wu

“…Based on the lightweight MobileNetV2 network, a Multi-scale Dilated Fusion Attention module (MDFA) was designed to enhance the robustness of color feature extraction. A Temporal Convolutional Network (TCN) was then used to model dynamic patterns in chemical indicators across spoilage stages, combined with a Context-Aware Gated Fusion (CAG-Fusion) mechanism to adaptively integrate image and chemical temporal features. …”
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Morphological multiparameter filtration and persistent homology in mitochondrial image analysis. by Yu-Min Chung, Chuan-Shen Hu, Emily Sun, Henry C Tseng

“…We show that such filtrations contain both topological and geometric information about complex cellular organelle structures, which allows a software program to extract meaningful features. Using this information, we also develop a connectivity index that describes the morphology of the branching patterns. …”
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Transumbilical single-site laparoscopic resection of splenic papillary angioendothelioma in a pediatric patient: a rare case report and review of literature by Meng Kong, Meng Kong, Qingfei Zhai, Shisong Zhang, Shisong Zhang, Hongzhen Liu, Hongzhen Liu, Yuexia Bai, Shuai Chen, Shuai Chen, Jinhua Jia, Jinhua Jia, Dong Wang, Xiang Ma

“…In the past half year, there has been no obvious growth and development delay, nor have there been any significant changes in diet or weight. …”
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Emery-Dreifuss muscular dystrophy: anatomical-clinical correlation (case report) by ALZIRA ALVES DE SIQUEIRA CARVALHO, JOSÉ ANTONIO LEVY, PAULO S. GUTIERREZ, SUELY KAZUE NAGAHASHI MARIE, EDUARDO ARGENTINO SOSA, MAURÍCIO SCANAVACA

“…Emery-Dreifuss muscular dystrophy is a rare recessive X-linked muscular disorder where mixed patterns in electromyography and muscle histology (neurogenic and/or myopathic) have caused nosological confusion. …”
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Assessing Sleep Quality Using Mobile EMAs: Opportunities, Practical Consideration, and Challenges by Jiyoun Lim, Chi Yoon Jeong, Jeong Muk Lim, Seungeun Chung, Gague Kim, Kyoung Ju Noh, Hyuntae Jeong

“…The result of analysis indicates that features using both daily indexes and sleep questionnaires lead to better prediction of sleep quality. …”
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MEN: leveraging explainable multimodal encoding network for precision prediction of CYP450 inhibitors by Abena Achiaa Atwereboannah, Wei-Ping Wu, Mugahed A. Al-antari, Sophyani B. Yussif, Chukwuebuka J. Ejiyi, Edwin K. Tenagyei, Grace-Mercure B. Kissanga, Gyarteng S. A. Emmanuel, Yeong Hyeon Gu, Emmanuel Ahene

“…Specifically, the Fingerprint Encoder Network (FEN) processes molecular fingerprints, the Graph Encoder Network (GEN) extracts structural features from graph-based representations, and the Protein Encoder Network (PEN) captures sequential patterns from protein sequences. …”
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Identification of WRKY transcription factors in Ipomoea pes-caprae and functional role of IpWRKY16 in sweet potato salt stress response by Jiaying Wu, Yiren Su, Zhiyuan Pan, Yiming Wang, Yongjing Zhang, Ludan Li, Jihong Jiang, Xiaoying Cao

“…Abstract Background WRKY transcription factors are plant-specific and play essential roles in growth, development, and stress responses, including reactions to salt, drought, and cold. …”
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mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process a... by Karthik Sama, Jaya Sreevalsan-Nair, Soumya Choudhary, Srilakshmi Nagendra, Preethi V Reddy, Asher Cohen, Urvakhsh Meherwan Mehta, John Torous

“…In partnership with clinicians for co-designing the app, we explored the feasibility of a comparative visualization tool for discovering patterns across different time stamps for a single patient or any patterns across patients related to the relapse episode. …”
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Tectonic characteristics and numerical simulation analysis of an arcuate structural belt：A case study of the middle and southern segments of the Red River fault by WANG Chenxu, LI Xi

“…Results  The study reveals: (1) Numerous geomorphic features and fault profiles in the central and southern segments of the Red River fault indicate that most of the faults along the line are predominantly high-angle, northwest-striking with a complex fault rock development. …”
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Deep Learning dengan Teknik Early Stopping untuk Mendeteksi Malware pada Perangkat IoT by Iwang Moeslem Andika Surya, Triawan Adi Cahyanto, Lutfi Ali Muharom

“…Although CNN was initially designed for image processing, this algorithm also effectively detects complex patterns in non-image data, such as IoT network traffic, due to its ability to extract hierarchical features. …”
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Transcriptome-wide identification and systematic analysis of the Retrotransposon genes and their roles in ginsenoside biosynthesis in Panax ginseng by Chaofan Wang, Ruicen Liu, Dinghui Wang, Li Li, Yue Jiang, Yanfang Wang, Kangyu Wang, Mingzhu Zhao, Yi Wang, Meiping Zhang

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AI-HOPE-TGFbeta: A Conversational AI Agent for Integrative Clinical and Genomic Analysis of TGF-β Pathway Alterations in Colorectal Cancer to Advance Precision Medicine by Ei-Wen Yang, Brigette Waldrup, Enrique Velazquez-Villarreal

“…However, integrative analyses linking TGF-β alterations to clinical features remain limited—particularly for diverse populations—hindering translational research and the development of precision therapies. …”
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Automatic Detection for Mining Subsidence Areas Using the CBAM-Enhanced VGG-UNet Model With Long Time Series InSAR Interferograms by Kegui Jiang, Keming Yang, Mengting Gao, Liuguo Zhu, Chuang Jiang

“…This enhancement improves the feature representation and perception capabilities of the model. …”
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Exploring potential methylation markers for ovarian cancer from cervical scraping samples by Ju-Yin Lien, Lu Ann Hii, Po-Hsuan Su, Lin-Yu Chen, Kuo-Chang Wen, Hung-Cheng Lai, Yu-Chao Wang

“…Since aberrant DNA methylation patterns are linked to cancer progression, DNA methylation offers a promising avenue for early diagnosis. …”
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Linking diversity and distribution to understand biodiversity gradients and inform conservation assessments by Fabricio Villalobos

“…<p>Broad-scale patterns of species richness result from differential coexistence among species in distinct regions of the globe, determined by the species’ ranges and their properties such as size, shape and location. …”
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Monitoring irrigated dryland in China from 2000 to 2015 by integrating time series vegetation indices and environmental factors by Zijuan Zhu, Lijun Zuo, Zengxiang Zhang, Yun Shao, Haijun Bao, Xiaoli Zhao, Xiao Wang, Shunguang Hu, Sisi Yu, Tianshi Pan, Ziyuan Liu

“…Meanwhile changes of features were employed to identify changes of irrigated dryland. …”
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Assessment and Application of Multi-Source Precipitation Products in Cold Regions Based on the Improved SWAT Model by Zhaoqi Tang, Yi Wang, Wen Chen

“…This is specifically reflected in the rationality of the spatial and temporal distribution patterns of the inverted precipitation, the accuracy observed in capturing precipitation events and actual precipitation characteristics, the goodness of fit in driving hydrological models, and the observed precision in reflecting the composition of watershed runoff, all of which are superior to those pertaining to other precipitation products. (3) The glacier melt calculated using the improved SWAT model informed by CMA V2.0 shows that during the study period, the basin formed a pattern with a positive–negative glacier balance demarcation at 36.5° N, featuring melting at higher latitudes and accumulation at lower latitudes. …”
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