Primary Mediastinal Choriocarcinoma in an Elderly Patient with Concurrent Goserelin-Treated Prostate Adenocarcinoma by Rasmus Røge, Carsten Simonsen, Astrid Christine Petersen

“…This current report describes an elderly patient who developed a large rapidly growing mediastinal tumour. …”
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Mapping Urban Villages in Beijing–Tianjin–Hebei Core Cities Through a Dual-Stage Fusion of Individual Building Footprints and Glimmer Imagery by Jianqiang Hu, Yuheng Fu, Chaoqun Zhang, Manchun Li, Bingbo Gao, Qiancheng Lv, Jing Yang, Ziyue Chen

“…Accelerated urbanization has led to the widespread emergence of informal urban settlements, particularly urban villages (UVs), posing significant challenges to social equity, public welfare, and sustainable urban development. Current research on UV identification often relies solely on high-resolution satellite imagery, neglecting the unique spatial patterns and socioeconomic characteristics of UVs, thus limiting the effective distinction between UVs and other confusing land-use types. …”
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The Xenopyricularia zizaniicola exhibits a genome architecture distinct to the two-speed genome by Zhenyu Fang, Yuyong Li, Jianqiang Huang, Jianhong Wang, Xiwen Lian, Shuhui Lin, Zonghua Wang, Yongsheng Zhu, Huakun Zheng

“…We provide evidence that the distribution pattern of pathogenicity-associated genes in X. zizaniicola strain JB-1 closely resembles the “one-speed genome” structure, which contrasts with Pyricularia oryzae. …”
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DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images by Yuan Ma, Zhaojin Li, Bo Wu, Ran Duan

“…This semantic information reveals underlying features and patterns, offering valuable scientific insights. …”
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Promoting by Looking Into Friend Circles: An Inadequately-Labeled and Socially-Aware Financial Technique for Products Recommendation by Nan Su

“…Our approach uses a geometry-based feature selection strategy to accurately capture each user’s buying patterns, which are characterized by a range of features, including those learned under weak supervision. …”
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An interpretable coupled model (SWAT-STFT) for multispatial-multistep evapotranspiration prediction in the river basin by Zhonghui Guo, Chang Feng, Liu Yang, Qing Liu

“…Additionally, the coupled model's SSTI leveraged model-internal attention weights to provide new insights into further understanding watershed ET spatiotemporal mechanisms. The feature global interpretation results revealed that meteorological features served as ET dominant drivers in time-varying features (48 % importance), followed by land use features (35 %), while soil features (64 %) dominated static features. …”
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Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates by Lin Meng, Deyu Wang, Jun Ma, Yu Shi, Hongbo Zhao, Yanlin Wang, Qingqing Shi, Xiaodong Zhu, Dong Ming

“…Conclusions: This study presents a novel framework for differentiating PD motor subtypes and emphasizes dynamic brain network features as potential markers for understanding motor symptom variability in PD, which may contribute to the development of personalized treatment strategies.Trial registration: ChiCTR2300067657.…”
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DTCMMA: Efficient Wind-Power Forecasting Based on Dimensional Transformation Combined with Multidimensional and Multiscale Convolutional Attention Mechanism by Wenhan Song, Enguang Zuo, Junyu Zhu, Chen Chen, Cheng Chen, Ziwei Yan, Xiaoyi Lv

“…Nevertheless, when dealing with long wind-power sequences, their quadratic computational complexity (O(L²)) leads to low efficiency, and their global attention mechanism often fails to capture local periodic features accurately, tending to overemphasize redundant information while overlooking key temporal patterns. …”
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Differentiation of apical and basal dendrites in pyramidal cells and granule cells in dissociated hippocampal cultures. by You Kure Wu, Kazuto Fujishima, Mineko Kengaku

“…Hippocampal pyramidal cells and dentate granule cells develop morphologically distinct dendritic arbors, yet also share some common features. …”
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Classification of hoarding and comorbid neuropsychiatric symptoms by Sara K. Nutley, Catherine W. Striley, Linda B. Cottler, Joseph Eichenbaum, Rachel L. Nosheny, R. Scott Mackin, Carol A. Mathews

“…Conclusions: Neuropsychiatric symptom patterns among individuals with hoarding are heterogenous in nature and uniquely associated with clinical features and functional outcomes. …”
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Sedimentary characteristics and influencing factors of steep slope platform-margin reefs: A case study of Changxing Formation in Kaijiang-Liangping Trough in northeastern Sichuan B... by HUANG Yuxuan, CHEN Xu, WU Saijun, WEI Junhong, WANG Jingyuan

“…Gentle and steep slope platform-margin reefs are well-developed in the Changxing Formation in the Kaijiang-Liangping Trough in the northeast Sichuan Basin. …”
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Research Progress on the GP3 Protein of Porcine Reproductive and Respiratory Syndrome Virus by Chen Lv, Zhiyu Yang, Xiaolin Lan, Fang Liang, Weili Kong, Ruining Wang, Mengmeng Zhao

“…This review summarizes the structural features, genetic evolutionary patterns, glycosylation of GP3 and its interactions with other PRRSV and host proteins, associations with PRRSV infection and virulence, and immunomodulatory roles. …”
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Multimodal AI model for preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images by Doohyun Park, Yong-Moon Lee, Taejoon Eo, Hee Jung An, Haeyoun Kang, Eunhyang Park, Yoon Jin Cha, Heejung Park, Dohee Kwon, Sun Young Kwon, Hye-Ra Jung, Su-Jin Shin, Hyunjin Park, Yangkyu Lee, Sanghui Park, Ji Min Kim, Sung-Eun Choi, Nam Hoon Cho, Dosik Hwang

“…Abstract In breast cancer management, predicting axillary lymph node (ALN) metastasis using whole-slide images (WSIs) of primary tumor biopsies is a challenging and underexplored task for pathologists. We developed METACANS, an multimodal artificial intelligence (AI) model that integrates WSIs with clinicopathological features to predict ALN metastasis. …”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…Some areas of applications of ML algorithms include cluster analysis, pattern recognition, image processing, natural language processing, and medical diagnostics. …”
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Cyclin D2 – a potential biomarker in uterine corpus endometrial carcinoma through methylation chip and bioinformatic analysis by Lizhen Wang, Lizhen Wang, Wu Qu, Zhifu Yang

“…TCGA datasets were analyzed to explore differential patterns involving mRNA and DNA methylation features associated with CCND2. …”
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Landscape genetics highlights species-specific ecological influences on gene flow in highland frog populations from northeastern Brazil by José Henrique de Andrade Lima, Marco Katzenberger, Marcelo Gehara, Pedro Ivo Simões

“…We conducted a comparative landscape genetics study to assess the influence of geographic and environmental landscape features on genetic differentiation in two ecologically distinct anurans species: Dendropsophus oliveirai, a diminutive treefrog that uses ponds for reproduction and larval development, and Physalaemus cuvieri, a terrestrial frog that breeds in both ponds and rain pools, depositing eggs in foam nests where embryos develop. …”
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HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units by Xiaorui Yang, Rui Li, Jing Xia, Junhao Wang, Hongyan Li, Nixiao Zou

“…Population analysis units (PAUs), as fundamental spatial units accommodating population-related activities, hold significance in constructing spatiotemporal interaction networks to understand intra-unit population distribution and activity patterns as well as inter-unit interactions. However, existing networks are constrained by fixed scales and the absence of temporal dynamics, with insufficient consideration of multi-scale features, thereby limiting their semantic representation and dynamic analysis capabilities. …”
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Machine Learning Insights into the Last 400 Years of Etna Lateral Eruptions from Historical Volcanological Data by Arianna Beatrice Malaguti, Claudia Corradino, Alessandro La Spina, Stefano Branca, Ciro Del Negro

“…Hazard assessment can be supported by Artificial Intelligence (AI) techniques, such as machine learning, which are used for data exploration to identify features of interest in the data. Here, we applied a machine learning technique to automate the analysis of these datasets, handling intricate patterns that are not easily captured by explicit commands. …”
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Analysis of clinical phenotypes and genotypes of congenital deafness caused by rare variants in GJB2 by Xuxu Zhao, Huan Chi, Yan Bai, Yu Lu, Wenyu Xiong, Houyong Kang, Cheng Zhang

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Metastatic uterine histiocytic sarcoma: A rare presentation as solitary paraspinal mass by Aruba Nawaz Khattak, FCPS, Aymen Shahab, FCPS, Fatima Israr, MBBS, Hira Yaqub, MBBS, Zulfiqar Sheikh, MBBS, Kashif Siddique, FCPS, FRCR

“…The pattern of metastatic involvement down the course of her disase is unique in its presentation as a solitary paraspinal mass with no imaging evidence of visceral metastasis. …”
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