PLOD3 as a novel oncogene in prognostic and immune infiltration risk model based on multi-machine learning in cervical cancer by Lingling Qiu, Xiuchai Qiu, Xiaoyi Yang

“…We identified 112 key metabolic genes, which were used to construct and validate a prognostic model through various machine learning algorithms. …”
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Identification of immune and major depressive disorder-related diagnostic markers for early nonalcoholic fatty liver disease by WGCNA and machine learning by Yuyun Jia, Yanping Cao, Qin Yin, Xueqian Li, Xiu Wen

“…The intersection of shared DEGs across both conditions and WGCNA-identified genes was determined and subjected to functional enrichment analysis. Immune cell infiltration levels were quantified using single-sample gene set enrichment analysis (ssGSEA). …”
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Psychometric Features of The Turkish Version of the Negative Mood Regulation Scale by Ayşe Altan Atalay, Yasemin Sohtorik İlkmen

“…Negative mood regulation expectancies (NMRE) constitute a construct that explains individual beliefs and degree of confidence in the ability to address negative emotions. …”
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Logical-semantic definition of a production process digital twin by A. V. Rechkalov, A. V. Artyukhov, G. G. Kulikov

“…From a theoretical aspect, the development of system models of objects and their connections in subject-oriented areas is based on the problem of a formal consistent description (grammatical calculus) of the functional regularities of a given set of objects and their relationships. …”
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Clinical application and immune infiltration landscape of stemness‐related genes in heart failure by Wenting Yan, Yanling Li, Gang Wang, Yuan Huang, Ping Xie

“…Nomogram models were then constructed to predict HF risk based on the selected key genes. …”
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A Lamin Family-Based Signature Predicts Prognosis and Immunotherapy Response in Hepatocellular Carcinoma by Yongyu Yang, Wang Xiao, Ruoqi Liu, Lei Gao, Junzhang Chen, Heping Kan

“…The expression features and prognostic value of LMNA, LMNB1, and LMNB2 were explored in the TCGA and GEO databases. The biological functions of LMNB1 and LMNB2 were validated by in vitro assays. …”
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The Prognosis Prediction Model for Endometrial Cancer Based on DNA Methylation Signature by Ran Ran, Ming Wang, Jinwei Miao

“…The univariate Cox regression analysis and the LASSO regression analysis were subsequently used to identify prognosis‐related methylation regulators and construct a risk model. Gene functional enrichment analysis, immune infiltration analysis, drug sensitivity analysis, and molecular feature analysis were performed in different subgroups. …”
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A telomere-related signature for predicting prognosis and assessing immune microenvironment in osteosarcoma by Shihao Li, Lina Zhang, Haiyang Zhang

“…Subsequently, we analyzed the prognostic value, functional annotation, immune microenvironment, and cell communication patterns of the telomere-related signature in osteosarcoma via comprehensive bioinformatics analyses. …”
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An Ensemble Fuzzy-Based Deep Learning Framework for Automatic Detection of Children with ADHD From EEG Signal by Jalil Manafian, Mehdi Fazli, Onur Ilhan, Subhiya Zeynalli, Sukaina Tuama Ghafel

“…This paper presents a novel technique utilizing deep learning to construct images from EEG signals. The approach involves creating two images from EEGs, utilizing both functional connectivity and spectral attributes. …”
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LDAGM: prediction lncRNA-disease asociations by graph convolutional auto-encoder and multilayer perceptron based on multi-view heterogeneous networks by Bing Zhang, Haoyu Wang, Chao Ma, Hai Huang, Zhou Fang, Jiaxing Qu

“…It then constructs six homogeneous networks and deeply fuses them using a deep topology feature extraction method. …”
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SYNONYMIC ASYNDETIC SUBORDINATE UTTERANCES OF POLYPREDICATIVE STRUCTURES WITH THE PARTICIPIAL AND GERUNDIAL HEAD LEXEMES (on the material of French fiction of the 20th – the beginn... by Anastasiia V. Lepetiukha

“…The analyzed constructions are defined as one- and two-basis synonymic transforms of the primary subordinate proposition actualized in the form of compressed discourse innovations-preferential options with temporal, causal, hypothetical and explicative semantic meanings. …”
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Existence of a weak solution to a regularized moving boundary fluid-structure interaction problem with poroelastic media by Kuan, Jeffrey, Čanić, Sunčica, Muha, Boris

“…The nonlinear coupling over the moving interface presents a major difficulty since both the fluid domain and the poroelastic medium domain are functions of time, and the finite energy spaces do not provide sufficient regularity for the corresponding weak formulation to be well-defined. …”
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Modal analysis of a 20-degree-of-freedom model of a transport aircraft wing by Oleksii Starodub

“…The proposed model utilizes predefined functions of aerodynamic forces and moments to compute the wing’s resonance frequencies and analyze vibration stability under resonance conditions.  …”
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Over-expression of either MECP2_e1 or MECP2_e2 in neuronally differentiated cells results in different patterns of gene expression. by Marija Orlic-Milacic, Liana Kaufman, Anna Mikhailov, Aaron Y L Cheung, Huda Mahmood, James Ellis, Peter J Gianakopoulos, Berge A Minassian, John B Vincent

“…The same lentiviral constructs were also used to infect mouse Mecp2 knockout (Mecp2(tm1.1Bird)) fibroblasts. …”
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Ultramicroporous Tröger's Base Framework Membranes With Ionized Sub‐nanochannels for Efficient Acid/Alkali Recovery by Haopan Sun, Ning Gan, Yuqing Lin, Baolong Wu, Yulong Qiu, Jingwen Su, Ziding Zhou, Fengyin Zou, Jianguo Yu, Hideto Matsuyama

“…To address this issue, the charged microporous polymer framework membranes are developed, featuring rigid Tröger's Base network chains constructed through a facile sol‐gel process. The intrinsic ultramicropore confinement and quaternary ammonium‐charged functional groups provide ultrahigh size‐sieving capability and enhanced Donnan exclusion for H⁺/OH⁻ selectivity; meanwhile, the internal protoplasmic channels of the polymer frameworks serve as highways for rapid ion transfer. …”
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Reduced connection strength leads to enhancement of working memory capacity in cognitive training by Guiyang Lv, Tianyong Xu, Jinhang Li, Ping Zhu, Feiyan Chen, Dongping Yang, Guoguang He

“…Previous research has confirmed that abacus-based mental calculation (AMC) training can enhance the WMC of subjects and suggested its possible association with changes in functional connectivity. With fMRI data, we construct whole brain resting state connectivity of subjects who underwent long-term AMC training and other subjects from a control group. …”
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Considerations of growth factor and material use in bone tissue engineering using biodegradable scaffolds in vitro and in vivo by Karen M. Marshall, Jonathan P. Wojciechowski, Vineetha Jayawarna, Abshar Hasan, Cécile Echalier, Øystein Øvrebø, Tao Yang, Kun Zhou, Janos M. Kanczler, Alvaro Mata, Manuel Salmeron-Sanchez, Molly M. Stevens, Richard O. C. Oreffo

“…The current studies demonstrate a range of innovative coated scaffold constructs with in vitro efficacy and clearly illustrate the importance of an appropriate in vivo environment to validate in vitro functionality prior to scale up and preclinical application.…”
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In Silico Discovery and Sensory Validation of Umami Peptides in Fermented Sausages: A Study Integrating Deep Learning and Molecular Modeling by Haochen Geng, Chunming Xu, Huijun Ma, Youxu Dai, Ziyou Jiang, Mingyue Yang, Danyang Zhu

“…Deep learning has great potential in the field of functional peptide prediction. This study combines metagenomics and deep learning to efficiently discover potential umami peptides in fermented sausages. …”
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Arithmetic Logic Unit Circuit Based on Zinc Oxide Nanogap Schottky Diodes by Zhanibek Bizak, Harold F. Mazo‐Mantilla, Linqu Luo, Camelia Florica, Georgian Melinte, Thomas D. Anthopoulos, Khaled N. Salama

“…The fundamental logic AND, OR, and XOR gates based on nanogap Schottky diodes are fabricated, from which arbitrary logic and arithmetic functional circuits can be constructed. To demonstrate the large‐area integration, a 3‐bit Binary Shifter circuit is implemented. …”
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The Potential Role of Adipose-Derived Stem Cells in Regeneration of Peripheral Nerves by Sunil P. Mohan, Sivan P. Priya, Nada Tawfig, Vivek Padmanabhan, Rasha Babiker, Arunkumar Palaniappan, Srinivasan Prabhu, Nallan CSK Chaitanya, Muhammed Mustahsen Rahman, Md Sofiqul Islam

“…Peripheral nerve injuries are common complications in surgical and dental practices, often resulting in functional deficiencies and reduced quality of life. …”
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