Multimeric protein interaction and complex prediction: Structure, dynamics and function by Da Lu, Shuhong Yu, Yixiang Huang, Xinqi Gong

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Smart adaptive learning and optimized feature clustering for enhanced image retrieval by P. Umaeswari, Sujata Patil, Parameshachari Bidare Divakarachari, Przemysław Falkowski-Gilski

Subjects: “…Entropy-based divergence function…”
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Introduction of AI Technology for Objective Physical Function Assessment by Nobuji Kouno, Satoshi Takahashi, Masaaki Komatsu, Yusuke Sakaguchi, Naoaki Ishiguro, Katsuji Takeda, Kyoko Fujioka, Ayumu Matsuoka, Maiko Fujimori, Ryuji Hamamoto

Subjects: “…objective physical function assessment…”
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Shared hub genes in membranous nephropathy and kidney renal clear cell carcinoma: investigating molecular overlap and tumor progression by Peng Hui, Zhang Shuwen

“…Abstract Background Membranous nephropathy (MN) and kidney renal clear cell carcinoma (KIRC) are distinct kidney diseases with potential shared molecular mechanisms. …”
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Prognostic Role of SETDB2 in Clear Cell Renal Cell Carcinoma: Linking Immune Infiltration, Cuproptosis, and Tumor Suppression by Lu SH, Lui K, Qian Y, Zhou WY, Mu YY, Zhang W

“…The interactions and associated pathways detected through these analyses provide unique insight into the potential functions of SETDB2 in this cancer type, providing an evidence base for future studies.Keywords: SETDB2, biomarkers, kidney renal clear cell carcinoma, prognosis, tumor-immune infiltration, cuproptosis…”
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Stratification system with dual human endogenous retroviruses for predicting immunotherapy efficacy in metastatic clear-cell renal cell carcinoma by Li Xu, Stephane Oudard, Catherine Sautes-Fridman, Xiaoping Su, Gabriel G. Malouf, Virginie Verkarre, Salma Kotti, Fangrong Yan, Yann-Alexandre Vano, Wolf Herve Fridman, Cheng-Ming Sun, Xiaofan Lu, Wenxuan Cheng

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Exploring the prognostic role and expression patterns of FAM3A family genes in kidney renal clear cell carcinoma by Shoaib Muhammad, Pengyu Yan, Huifang Wang, Ahmad Mahmood, Syed Shah Zaman Haider Naqvi, Muhammad Zaeem, Chun Liu

“…Abstract Kidney renal clear cell carcinoma (KIRC) is the most common subtype of kidney cancer, characterized by complex molecular alterations. …”
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Development of a Novel KCNN4-Related ceRNA Network and Prognostic Model for Renal Clear Cell Carcinoma by Hengtao Bu, Qiang Song, Jiexiu Zhang, Yuang Wei, Bianjiang Liu

“…Background. Clear cell renal cell carcinoma (ccRCC) accounts for more than 80% of renal cell carcinomas. …”
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Seasonality of Water Chemistry, Carbonate Production, and Biometric Features of Two Species of Chara in a Shallow Clear Water Lake by Andrzej Pukacz, Mariusz Pełechaty, Marcin Frankowski, Artur Kowalski, Kinga Zwijacz-Koszałka

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MtDNA copy number enrichment is associated with poor prognosis and eosinophilic morphology in clear cell renal cell carcinoma by Sarah Bellal, Sarah Bellal, Cyrielle Rolley, Jeremy Richard, Nolwenn Bounaix, Vincent Le Corre, Marie-Christine Copin, Odile Blanchet, Pierre Bigot, Pierre Bigot, Vincent Procaccio, Vincent Procaccio, Céline Bris, Céline Bris

“…Clear cell renal cell carcinoma (ccRCC) is the most common renal malignancy. …”
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Upregulation of TRPS1 promotes proliferation, migration, and invasion in ovarian clear cell carcinoma and correlates with poor patient prognosis by Jingfang Liu, Beier Wu, Shihan Wan, Yanlu Jin, Li Yang, Meijuan Wu, Jie Xing, Jiejie Zhang, Xin Chen, Aijun Yu

“…This study explores TRPS1 expression in ovarian clear cell carcinoma (OCCC), its correlation with patient prognosis, and its involvement in OCCC pathogenesis. …”
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circASAP1 induces renal clear cell carcinoma ferroptosis by binding to HNRNPC and thereby regulating GPX4 by Yunfei Wang, Taowei Yang, Qihao Li, Zhousan Zheng, Lican Liao, Junjie Cen, Wei Chen, Junhang Luo, Yi Xu, Mi Zhou, Jiaxing Zhang

“…Abstract Background Clear cell renal cell carcinoma (ccRCC) represents the most prevalent subtype, accounting for nearly 80% of all RCC cases. …”
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Robot-assisted knee arthroplasty: Analyzing the learning curve and initial institutional experience by Leandro Ejnisman, Eliane Antonioli, Luciana Cintra, Pamela Gabriela de Oliveira Souza, Lauro Augusto Veloso Costa, Mario Lenza

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Impact of visual stimulus complexity on associative learning and associated reaction times in migraine patients by Kálmán Tót, Gabriella Eördegh, Noémi Harcsa-Pintér, Adél Papp, Balázs Bodosi, Gábor Braunitzer, János Tajti, Anett Csáti, Attila Nagy

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Gradient descent Sarsa(?)algorithm based on the adaptive potential function shaping reward mechanism by Fei XIAO, Quan LIU, Qi-ming FU, Hong-kun SUN, Long GAO

Subjects: “…reinforcement learning…”
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Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization by Bhanu Jain, Manfred Huber, Ramez Elmasri

“…Increasing utilization of machine learning based decision support systems emphasizes the need for resulting predictions to be both accurate and fair to all stakeholders. …”
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An in vivo systemic massively parallel platform for deciphering animal tissue-specific regulatory function by Ashley R. Brown, Ashley R. Brown, Grant A. Fox, Grant A. Fox, Irene M. Kaplow, Irene M. Kaplow, Irene M. Kaplow, Alyssa J. Lawler, Alyssa J. Lawler, BaDoi N. Phan, BaDoi N. Phan, BaDoi N. Phan, Lahari Gadey, Lahari Gadey, Morgan E. Wirthlin, Morgan E. Wirthlin, Easwaran Ramamurthy, Easwaran Ramamurthy, Gemma E. May, Ziheng Chen, Qiao Su, Qiao Su, C. Joel McManus, Robert van de Weerd, Robert van de Weerd, Andreas R. Pfenning, Andreas R. Pfenning, Andreas R. Pfenning

“…Here, we introduce a systemic MPRA (sysMPRA) to address these challenges through systemic intravenous AAV viral delivery.Results: We demonstrate successful transduction of the MPRA library into diverse mouse tissues, efficiently identifying tissue specificity in candidate enhancers and aligning well with predictions from machine learning models. We highlight that sysMPRA effectively uncovers regulatory effects stemming from the disruption of MEF2C transcription factor binding sites, single-nucleotide polymorphisms, and the consequences of genetic variations associated with late-onset Alzheimer‘s disease.Conclusion: SysMPRA is an effective library delivering method that simultaneously determines the transcriptional functions of hundreds of enhancers in vivo across multiple tissues.…”
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Research on the diagnosis model of osteoarthritis based on methylation-related genes using machine learning algorithms by Xu Cui, Houlin Ji, Shengyang Guo, Ju Liu, Linyuan Zhang, Yongwei Jia, Yin Cui, Xiaoxiao Zhou

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AB EVALUATION OF LEARNING ATTITUDE AND ACHIEVEMENT OF SMALL AND MEDIUM SCALE ENTERPRISES IN NIGER STATE NIGERIA by Abdulrazak Mohammed

Subjects: “…Learning Attitude, competitor attitude, inter-functional coordination, performance,…”
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LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification by Yongqi Xu, Dongcheng Li, Changcheng Li, Zheming Yuan, Zhijun Dai

“…Second, integrating the Swish activation function further improves accuracy to 94.04% by enhancing the model’s non-linear feature learning. …”
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