Biomarkers associated with cell-in-cell structure in kidney renal clear cell carcinoma based on transcriptome sequencing by Zehua Wang, Zhongxiao Zhang

“…Background Kidney renal clear cell carcinoma (KIRC), the main histological subtype of renal cell carcinoma, has a high incidence globally. …”
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Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory by Sergei Manzhos, Johann Lüder, Pavlo Golub, Manabu Ihara

“…Machine learning (ML) of kinetic energy functionals (KEF) for orbital-free density functional theory (DFT) holds the promise of addressing an important bottleneck in large-scale ab initio materials modeling where sufficiently accurate analytic KEFs are lacking. …”
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Hyaluronic acid preparations in the treatment of osteoarthritis: is it clear to us? by A. E. Karateev, Е. Yu. Pogozheva, V. N. Amirdzhanova, Е. S. Filatova

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Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning by Wei (Wayne) Chen, Rachel Sun, Doksoo Lee, Carlos M. Portela, Wei Chen

Subjects: “…functional responses…”
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Analysing the Functionality of Twitter for Science Dissemination in EFL Teaching and Learning by Ana E. Sancho-Ortiz

“…This article explores the functionality of Twitter (now called “X”) for science dissemination within the teaching and learning of English as a foreign language. …”
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Scalable geometric learning with correlation-based functional brain networks by Kisung You, Yelim Lee, Hae-Jeong Park

“…Abstract Correlation matrices serve as fundamental representations of functional brain networks in neuroimaging. Conventional analyses often treat pairwise interactions independently within Euclidean space, neglecting the underlying geometry of correlation structures. …”
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Project-Based Learning for Functional Arabic Writing Materials Development by Ali Ba'ul Chusna, Imam Asrori, Abdul Aziz

Subjects: “…Functional Arabic Writing; Project-Based Learning; Teaching Material Development…”
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A Deep Learning Approach to Measure Visual Function in Zebrafish by Manjiri Patil, Annabel Birchall, Hammad Syed, Vanessa Rodwell, Ha-Jun Yoon, William H. J. Norton, Mervyn G. Thomas

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The learning primacy hypothesis of dopamine: reconsidering dopamine’s dual functions by Charltien Long, Charltien Long, Sotiris C. Masmanidis, Sotiris C. Masmanidis

“…But this dichotomy has led to a longstanding problem of how to interpret the functional consequences of a particular dopaminergic signal—is it to learn or to move? …”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning by Valeri A. Makarov, Sergey A. Lobov, Sergey A. Lobov

“…Our results suggest that global optimization of cost functions may be circumvented at different levels of information processing in SNNs, and replaced by chance learning, greatly simplifying the design of AI devices.…”
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Formation of Machine Learning Features Based on the Construction of Tropical Functions by Sergey N. Chukanov, Ilya S. Chukanov

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Reconstructing brain functional networks through identifiability and deep learning by Massimiliano Zanin, Tuba Aktürk, Ebru Yıldırım, Deniz Yerlikaya, Görsev Yener, Bahar Güntekin

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Integrating machine learning and multi-omics analysis to unveil key programmed cell death patterns and immunotherapy targets in kidney renal clear cell carcinoma by Fanyan Ou, Yi Pan, Qiuli Chen, Lixiong Zeng, Kanglai Wei, Delin Liu, Qian Guo, Liquan Zhou, Jie Yang

“…Abstract Kidney renal clear cell carcinoma (KIRC), a cancer characterized by substantial immune infiltration, exhibits limited sensitivity to conventional radiochemotherapy. …”
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Cell sorters see things more clearly now by Daniel Schraivogel, Lars M Steinmetz

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Interactive image segmentation algorithm based on adaptive kernel learning by LONG Jianwu, LI Jihao

“…Subsequently, leveraging the smoothness and positive definiteness properties of RBF kernel functions, an optimized objective function was designed. …”
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Multi-omics analysis reveals the role of ribosome biogenesis in malignant clear cell renal cell carcinoma and the development of a machine learning-based prognostic model by Zhouzhou Xie, Zhouzhou Xie, Shansen Peng, Shansen Peng, Jiongming Wang, Jiongming Wang, Yueting Huang, Yueting Huang, Xiaoqi Zhou, Xiaoqi Zhou, Guihao Zhang, Guihao Zhang, Huiming Jiang, Huiming Jiang, Kaihua Zhong, Kaihua Zhong, Lingsong Feng, Lingsong Feng, Nanhui Chen, Nanhui Chen

“…BackgroundClear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cancer, marked by high molecular heterogeneity and limited responsiveness to targeted or immune therapies. …”
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Do Clear Aligners Release Toxic Chemicals?—A Systematic Review by Mariana Ferreira, Hélder Costa, Nélio Veiga, Maria J. Correia, Ana T. P. C. Gomes, Pedro C. Lopes

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IMPROVING STUDENT'S COGNITIVE LEARNING OUTCOME THROUGH DISCOVERY LEARNING MODEL IN STRUCTURE AND FUNCTION OF PLANT TISSUES SUBJECT by Nurhayati Dukomalamo, Bahtiar Bahtiar, Arini Zahrotun N

“…The research result indicates that the application of discovery learning model could improve the cognitive learning outcome and learning activities among students at class VIII-4 of SMP Negeri 4 Kota Ternate in the subject of the Structure and Function of Plant Tissues.…”
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Identification of Learning Management Systems Functional Areas and Limitations (Case Study: E-Learning Center of University of Tehran) by Ali akbar Farhangi, hamidreza yazdani, maryam haghshenas

Subjects: “…E-learning…”
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Applications of density functional theory and machine learning in nanomaterials: A review by Nangamso Nathaniel Nyangiwe

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