SAP30 promotes clear cell renal cell carcinoma proliferation and inhibits apoptosis through the MT1G axis by Wei Guo, Shuwen Wang, Zitong Yang, Yu Dong, Zhinan Xia, Wei Xue, Cheng Zhang

“…Mechanistically, SAP30 inhibited MT1G transcription, thereby impairing the function of MT1G in delivering zinc ions to p53, which diminished p53 activity. …”
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S100A2 promotes clear cell renal cell carcinoma tumor metastasis through regulating GLUT2 expression by Mengli Deng, Shaoxia Liao, Jingwen Deng, Chen Li, Lu Liu, Qizheng Han, Yifeng Huo, Xiao Zhou, Xiaodong Teng, Maode Lai, Honghe Zhang, Chong Lai

“…Abstract Clear cell renal cell carcinoma (ccRCC) is the predominant subtype of renal cancer and is highly malignant. …”
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Application of SVM, FFNNs, k-NN and Their Ensembles for Identifying Functionally Reliable Systems by Oleg Barabash, Andriy Makarchuk, Pavlo Open’ko, Serhii Korotin

Subjects: “…functional stability…”
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MIDIS: MIRI Uncovers Virgil, the First Little Red Dot with Clear Detection of Its Host Galaxy at z ≃ 6.6 by Edoardo Iani, Pierluigi Rinaldi, Karina I. Caputi, Marianna Annunziatella, Danial Langeroodi, Jens Melinder, Pablo G. Pérez-González, Javier Álvarez-Márquez, Leindert A. Boogaard, Sarah E. I. Bosman, Luca Costantin, Thibaud Moutard, Luis Colina, Göran Östlin, Thomas R. Greve, Gillian Wright, Almudena Alonso-Herrero, Arjan Bik, Steven Gillman, Alejandro Crespo Gómez, Jens Hjorth, Sarah Kendrew, Alvaro Labiano, John P. Pye, Tuomo V. Tikkanen, Fabian Walter, Manuel Güdel, Thomas Henning, Paul P. van der Werf

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Comprehensive analysis of lncRNA biomarkers in kidney renal clear cell carcinoma by lncRNA-mediated ceRNA network. by Ke Gong, Ting Xie, Yong Luo, Hui Guo, Jinlan Chen, Zhiping Tan, Yifeng Yang, Li Xie

“…<h4>Introduction</h4>Kidney renal clear cell carcinoma (KIRC) has a high incidence globally, and its pathogenesis remains unclear. …”
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Enhanced Force Systems for Efficient Maxillary Anterior Diastema Closure Using Clear Aligners: Evaluation of Attachments and Enhanced Structural Modifications by Min-Jeong Jee, Yong-Il Kim, Sung-Hun Kim, Seong-Sik Kim, Soo-Byung Park, Youn-Kyung Choi

“…While clear aligners offer esthetic and functional benefits, their predictability in controlling bodily movement and torque remains limited. …”
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BAX-mediated ammonia-driven cell death: a novel prognostic and therapeutic target in clear cell renal cell carcinoma by Xi Zhang, Zijie Yu, Lu Yin, Qiang Li, Shaohua He, Heng Li, Jian Li, Lian Sheng, Hongfei Wu, Hongqi Chen, Xiaoxu Zhu, Yang Lv

“…Abstract Background ccRCC (clear cell renal cell carcinoma) is characterized by metabolic reprogramming and immunosuppression, leading to poor clinical prognosis. …”
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Identification of small molecule drugs and development of a novel autophagy‐related prognostic signature for kidney renal clear cell carcinoma by Qianwei Xing, Chengjian Ji, Bingye Zhu, Rong Cong, Yi Wang

“…Abstract Abnormal autophagic levels have been implicated in the pathogenesis of multiple cancers, however, its role in tumors is complex and has not yet been explored clearly. Hence, we aimed to explore the prognostic values of autophagy‐related genes (ARGs) for kidney renal clear cell carcinoma (KIRC). …”
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KIF14 plays a role in the regulation of the cell cycle and has implications for prognosis in clear cell renal cell carcinoma by Jie Wang, Xuejia Lai, Zhijun Sun, Sike Feng, Bi Li, Hu Zhao

“…However, the varied expression profiles of KIF14 and its prognostic relevance in Clear cell renal cell carcinoma (ccRCC) have yet to be elucidated. …”
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Joint image reconstruction and segmentation of real-time cardiovascular magnetic resonance imaging in free-breathing using a model based on disentangled representation learning by Tobias Wech, Oliver Schad, Simon Sauer, Jonas Kleineisel, Nils Petri, Peter Nordbeck, Thorsten A. Bley, Bettina Baeßler, Bernhard Petritsch, Julius F. Heidenreich

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The Function of the Hippocampus in Bridging Functional and Temporal Discontiguity by Ze Zhang, Kazuhisa Niki, Jing Luo

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THE ENIGMA OF WORKING MOTHERS IN INSTITUTIONS OF HIGHER LEARNING IN NSUKKA L.G.A. OF ENUGU STATE: WORK-FAMILY ROLE CONFLICT by NDUBUISI ONESIMUS OPARAOCHA

“…Most mothers are employed in institutions of higher learning; which Enugu State is not left out. It is against this background that this study examines the impact of work-family role conflict among working mothers in institutions of higher learning in Nsukka L.G.A. of Enugu State. …”
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Identification of key proteins and pathways in myocardial infarction using machine learning approaches by Chang Liu, Xing Zhang, Qian Xie, Binbin Fang, Fen Liu, Junyi Luo, Gulandanmu Aihemaiti, Wei Ji, Yining Yang, Xiaomei Li

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Local Transmissibility-Based Identification of Structural Damage Utilizing Positive Learning Strategies by Oguz Gunes, Burcu Gunes

Subjects: “…transmissibility functions…”
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Teaching and learning process for mathematization activities: The case of solving maximum and minimum problems by Al Jupri, Dian Usdiyana, Ririn Sispiyati

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DISTANCE (ONLINE) LEARNING IN THE CONTEXT OF THE EFFECTIVENESS OF STUDENT TEACHER INTERACTION by Natalya М. Makarenko, Svitlana А. Dribas

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SineKAN: Kolmogorov-Arnold Networks using sinusoidal activation functions by Eric Reinhardt, Dinesh Ramakrishnan, Sergei Gleyzer

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Drivers of Structural and Functional Resilience Following Extreme Fires in Boreal Forests of Northeast China by Jianyu Yao, Xiaoyang Kong, Lei Fang, Zhaohan Huo, Yanbo Peng, Zile Han, Shilong Ren, Jinyue Chen, Xinfeng Wang, Qiao Wang

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Deep behavioral phenotyping tracks functional recovery following tibia fracture in mice by Jonathan E. Layne, Dustin M. Snapper, Dustin M. Snapper, Molly E. Czachor, Charles Lam, Jacob D. Matityahu, Dane R. G. Lind, Matthieu Huard, Johnny Huard, Kazuhito Morioka, Julian C. Motzkin, Julian C. Motzkin, Allan I. Basbaum, Jarret A. P. Weinrich, Jarret A. P. Weinrich, Chelsea S. Bahney, Chelsea S. Bahney

“…This unified approach confirmed increased severity in unstabilized fractures and identified clear functional recovery windows for both fracture groups.DiscussionThis methodology forms a foundation for future mechanistic experiments focused on biological and mechanical variables influencing functional healing and enables more rapid testing of strategies to accelerate bone healing.…”
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Prediction of the Gross Motor Function Measure-66 in Ambulant Children with Cerebral Palsy Based on Instrumental Gait Analysis Using Machine-Learning Algorithms by Stephanie Gross, Karoline Spiess, Stefanie Steven, Maja Zimmermann, Eckhard Schoenau, Ibrahim Duran

“…The Gross Motor Function Measure-66 (GMFM-66, range of values: 0 to 100 points) is one of the most widely used clinical tests to quantify motor function in children with cerebral palsy (CP). …”
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