Assessment of hydrological loading displacement from GNSS and GRACE data using deep learning algorithms by Changshou Wei, Maosheng Zhou, Zhixing Du, Lijing Han, Hao Gao

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Qualitative and Quantitative Evaluation of a Deep Learning-Based Reconstruction for Accelerated Cardiac Cine Imaging by Junjie Ma, Xucheng Zhu, Suryanarayanan Kaushik, Eman Ali, Liangliang Li, Kavitha Manickam, Ke Li, Martin A. Janich

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A recent survey on instance-dependent positive and unlabeled learning by Chen Gong, Muhammad Imran Zulfiqar, Chuang Zhang, Shahid Mahmood, Jian Yang

Subjects: “…Instance-dependent positive and unlabeled learning…”
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Functional profile of host microbiome indicates Clostridioides difficile infection by Etienne Nzabarushimana, Haixu Tang

Subjects: “…Functional profile…”
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TOPK promotes immune suppression in kidney renal clear cell carcinoma and emerges as a prognostic and therapeutic target by Zeyuan Zheng, Renhui Xiong, Xiuyuan Sui, Liyan Li, Huimin Sun, Chen Shao

“…High TOPK expression was associated with reduced infiltration of cytotoxic immune cells and increased immune checkpoint expression, indicating its potential role in shaping an immunosuppressive tumor microenvironment (TME). Functional enrichment analysis further linked TOPK to key inflammatory signaling pathways, including NOTCH1, TNF-α, and TGF-β. …”
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EPHX2 overexpression deters the advancement of clear cell renal cell carcinoma via lipid metabolism reprogramming by Bo Guan, Cong Huang, Cong Huang, Cong Huang, Jun He, Jun He, Jun He, Weimin Shan, Di Cui, Xiaowei Li, Chaozhao Liang, Chaozhao Liang, Chaozhao Liang, Zongyao Hao, Zongyao Hao, Zongyao Hao

“…BackgroundClear cell renal cell carcinoma (ccRCC) is a prevalent and highly aggressive subtype of renal cancer. …”
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Prognostic and therapeutic relevance of IL2RG-related LncRNAs in clear cell renal cell carcinoma by Weijing Hu, Bo Wu, Yongquan Chen, Xiaoling Guo, Xiaosong Wang, Dongwen Wang

“…Abstract Interleukin-2 Receptor Subunit Gamma (IL2RG) has been implicated in various cancers, but its role in clear cell renal cell carcinoma (ccRCC) remains unclear. …”
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NUDT1 Could Be a Prognostic Biomarker and Correlated with Immune Infiltration in Clear Cell Renal Cell Carcinoma by Yongshuai Lin, Facai Zhang, Yinling Jin, Quliang Zhong, Weiwei Tan, Jinyang Liu, Zhiping Wu

“…Background. Clear cell renal cell carcinoma (ccRCC) is a malignant tumor with high morbidity and mortality. …”
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Genetic diversity within Strongyloides fuelleborni: mitochondrial genome analysis reveals a clear African and Asian division by Travis Richins, Sarah G. H. Sapp, Alexandra Juhasz, Lucas J. Cunningham, E. James La Course, J. Russell Stothard, Joel L. N. Barratt

“…Additional complete mt genomes were assembled for several individual UK safari park worms to reveal a slightly altered mt genome gene arrangement, allowing clear separation from Asian S. fuelleborni. Furthermore, these UK worms possessed expanded intergenic regions of unknown function that increase their mt genome size to approximately 24 kilobases (kb) as compared with some 16 kb for Asian S. fuelleborni; this may have arisen from unique populational founder and genetic drift effects set within the peculiar mixed species baboon and drill ancestry of this semi-captive primate colony. …”
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MicroRNA exporter HuR clears the internalized pathogens by promoting pro‐inflammatory response in infected macrophages by Avijit Goswami, Kamalika Mukherjee, Anup Mazumder, Satarupa Ganguly, Ishita Mukherjee, Saikat Chakrabarti, Syamal Roy, Shyam Sundar, Krishnananda Chattopadhyay, Suvendra N Bhattacharyya

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Unveiling ammonia-induced cell death: a new frontier in clear cell renal cell carcinoma prognosis by Peize Yu, Peize Yu, Qikai Zhong, Qikai Zhong, Xinlei Wang, Xinlei Wang, Yifang Liu, Qiang Liu, Qiang Liu, Yuqiang Zhang, Jiawei Lu, Yang Dong, Cong-hui Han, Cong-hui Han

“…BackgroundClear cell renal cell carcinoma (KIRC) is the most aggressive renal carcinoma subtype of renal carcinoma, characterized by high mortality, early metastasis, and resistance to treatment. …”
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Designing a classroom learning in a university using the electronic learning course by Irina Anzaurovna Udzhukhu, Ruslan Kazbekovich Meshvez

“…This goal was achieved through the use of such research methods as the bibliographic method, generalization, description, visual presentation of data.The results of the research are the following 1) the concept of an e-learning course has been disclosed and its functions identified; 2) the elements of the e-learning course have been described; 3) a draft e-learning course on discipline B1.O.19 “Elective disciplines in Physical culture and sports” has been presented; 4) features of e-learning courses have been revealed.Key conclusions: 1) an electronic training course is a media product containing information material within the framework of the curriculum of disciplines, designed to implement the didactic capabilities of information and communication technologies and support the educational process; the electronic training course performs managerial, stimulating, optimizing and communicative functions; 2) the main elements of the electronic training course are information-content, control-communicative, correctional-generalizing blocks; 3) the project of an electronic training course in the discipline B1.O.19 “Elective disciplines in Physical culture and sports” includes general information about the course, content, availability of hyperlinks to the material; 4) features of e-learning courses are: openness, multimedia, modularity, mobility, flexibility, the ability to build an individual educational trajectory for each student.…”
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Enhancement of Chest X-Ray Images to Improve Screening Accuracy Rate Using Iterated Function System and Multilayer Fractional-Order Machine Learning Classifier by Chia-Hung Lin, Jian-Xing Wu, Chien-Ming Li, Pi-Yun Chen, Neng-Sheng Pai, Ying-Che Kuo

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The digital literacy of first-year students and its function in an online method of delivery by Rahmat Budiman, Andre Iman Syafrony

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FXR promotes clear cell renal cell carcinoma carcinogenesis via MMP-7-regulated EMT pathway by Jiachen Liu, Shiyu Huang, Yanguang Hou, Shujie Fu, Lei Wang, Juncheng Hu, Cheng Liu, Xiuheng Liu

“…The farnesoid X receptor (FXR, encoded by NR1H4), functioning as a nuclear receptor, plays a crucial role in regulating gene transcription. …”
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Integrated pan-cancer analysis and experimental verification of the roles of ZBED3 in kidney renal clear cell carcinoma by Shaobo Wu, Min Yang, Qiurong Zhao, Cheng Zhang, Xiaohe Luo

“…Abstract The present study investigated the Zinc finger BED-type containing 3 (ZBED3) mRNA expression levels, diagnostic and prognostic values, co-expressed and differentially expressed genes, immune infiltration, and functional enrichment analysis in patients with kidney renal clear cell carcinoma (KIRC) using various public databases such as The Cancer Genome Atlas, Genotype-Tissue Expression Project, LinkedOmics, Gene Set Enrichment Analysis databases, and the Xiantao academic tool. …”
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Close-Proximity Operations Design, Analysis, and Validation for Non-Cooperative Targets with an Application to the ClearSpace-1 Mission by José Vasconcelos, Serena Gaggi, Tiago Amaral, Charles Bakouche, Adina Cotuna, Ana Friaças

“…The analysis is adopted for functional chains such as the Navigation and Control, and the combination of a prototyping and a high-fidelity simulator is adopted for directed Model-in-the-Loop Monte-Carlo campaigns. …”
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VHL missense mutation delineate aggressive clear cell renal cell carcinoma subtype with favorable immunotherapeutic response by Li Liu, Jiejie Xu, Jianming Guo, Wenbin Jiang, Ziyang Xu, Youqi Qiu, Boyu Zhang, Jiangting Cheng, Jiyan Luo

“…Background von Hippel-Lindau (VHL) harbors the highest mutational frequency in clear cell renal cell carcinoma (ccRCC). Although VHL mutational subtypes exert diverse impacts on the functionality of the VHL protein, the clinical significance of VHL mutational heterogeneity remains largely obscure.Methods This study included a total of 1331 patients with ccRCC from localized data sets, including our localized Zhongshan Hospital (ZSHS) cohort (n=1270) and Zhongshan immune checkpoint blockade cohort (n=61), as well as 525 patients with ccRCC from two publicly available data sets with matched clinical annotation and multidimensional data. …”
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PRSS53 is a potential novel biomarker related to prognosis and immunity in clear cell renal cell carcinoma by Jiajun Zhang, Guocheng Liu, Wei Wang

“…Abstract Objective To analyze the expression levels, clinical significance, Immune infiltration and prognostic value of PRSS53 (Protease Serine 53) in clear cell renal cell carcinoma (ccRCC) using bioinformatics methods. …”
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The role of miRNA genes participating in VHL-HIF1α in clear cell renal cell carcinoma by V. N. Pavlov, I. R. Gilyazova, A. A. Izmailov, E. A. Klimentova, I. R. Sultanov, M. A. Bermishev, Z. R. Akhmadeev, A. Kh. Nurgalieva, G. V. Ishbulatova, E. K. Khusnutdinova

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