Features of fault transient's in generator network of powerful electric power stations by E. P. Safonov, V. Ya. Frolov

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Right inferior frontal cortex and preSMA in response inhibition: An investigation based on PTC model by Lili Wu, Mengjie Jiang, Min Zhao, Xin Hu, Jing Wang, Kaihua Zhang, Ke Jia, Fuxin Ren, Fei Gao

“…Based on the Pause-then-Cancel Model (PTC), this study employed functional magnetic resonance imaging (fMRI) to investigate the functional specificity of two regions in the stopping process. …”
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Integrin factor (FAM27E3), as a metastatic marker of papillary thyroid carcinoma, through the p53 signaling pathway promoting lymph node metastasis by Dong Zhang, Kai-Fang Xiang, Chen-Chen Hong, Xiao-Ping Bao, Yan Wu, Rui Wu

“…BackgroundPapillary thyroid carcinoma (PTC) has a lymph node metastasis rate of 20%–90%. …”
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Enhancing Thyroid Nodule Assessment With UTV-ST Swin Kansformer: A Multimodal Approach to Predict Invasiveness by Yufang Zhao, Yue Li, Yanjing Zhang, Xiaohui Yan, Guolin Yin, Liping Liu

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HNF4α-Mediated LINC02560 Promotes Papillary Thyroid Carcinoma Progression by Targeting the miR-505-5p/PDE4C Axis by Yongcheng Su, Beibei Xu, Chunyi Gao, Wenbin Pei, Miaomiao Ma, Wenqing Zhang, Tianhui Hu, Fuxing Zhang, Shaoliang Zhang

“…In conclusion, our findings elucidate the critical HNF4α/<i>LINC02560</i>/<i>miR-505-5p</i>/PDE4C axis in PTC pathology, presenting this regulatory network as a promising biomarker combination and potential therapeutic target to improve patient outcomes and survival rates, warranting further clinical investigation to validate these insights and support the development of targeted therapies in PTC management.…”
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A ceRNA network mediated by LINC00475 in papillary thyroid carcinoma by Yang Yarong, Hua Wenjuan, Zeng Mei, Yu Liling, Zhang Baijun, Wen Liming

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Optimal Determination of the Q/A Factor for Parabolic Concentrator Solar Collector Networks by Juan-Ramón Lizárraga-Morazán, Martín Picón-Núñez

“…This work presents a study of the Q/A factor in optimised designs of solar thermal networks of the Solar Heat for Industrial Processes (SHIP) type, which utilise Parabolic Trough Collector (PTC) technology for both winter and summer seasons. …”
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Predictive Torque Control of Three Phase Axial Flux Permanent Magnet Synchronous Machines by Mohsen Siami, S. Asghar Gholamian

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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

“…We propose an in-depth method based on the Convolutional Neural Network for the DNA methylation-based classification of papillary thyroid carcinoma (PTC) and its follicular (fvPTC) and classical (cvPTC) subtypes. …”
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Prediction of pN Staging of Papillary Thyroid Carcinoma Using Ultrasonography Radiomics and Deep Neural Networks by Jieli ZHOU, Linjuan WU, Pengtian ZHANG, Yanxia Peng, Dong HAN

“…ObjectiveTo assess the accuracy of pN staging prediction in papillary thyroid carcinoma (PTC) using ultrasound radiomics and deep neural networks (DNN). …”
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Papillary Thyroid Carcinoma Semantic Segmentation Using Multi-Scale Adaptive Convolutional Network With Dual Decoders by Thanat Payatsuporn, Pittipol Kantavat, Nichthida Tangnuntachai, Nopporn Tipparawong, Waratchanok Techapapa, Boonserm Kijsirikul, Somboon Keelawat

“…Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. …”
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Deep Residual Network With Integrated StarDist Nuclei Segmentation for Papillary Thyroid Cancer Identification: A Pathologist-Inspired Approach by Nabila Husna Shabrina, Dadang Gunawan, Mia Rizkinia, Agnes Stephanie Harahap, Mohammad Ikhsan, Rifai Chai, Maria Francisca Ham

“…The proposed model enhances feature localization by integrating nucleus segmentation with Deep Residual Networks, yielding a practical and efficient solution for histopathological PTC analysis.…”
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Identification of GJC1 as a novel diagnostic marker for papillary thyroid carcinoma using weighted gene co-expression network analysis and machine learning algorithm by Jingshu Zhang, Ping Sun

“…Therefore, early recognition and specific interventions for PTC are crucial. The objective of this study is to explore novel diagnostic marker and precise intervention targets for PTC. …”
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Phosphoproteomic analyses reveal novel cross‐modulation mechanisms between two signaling pathways in yeast by Stefania Vaga, Marti Bernardo‐Faura, Thomas Cokelaer, Alessio Maiolica, Christopher A Barnes, Ludovic C Gillet, Björn Hegemann, Frank van Drogen, Hoda Sharifian, Edda Klipp, Matthias Peter, Julio Saez‐Rodriguez, Ruedi Aebersold

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Breaking Barriers in Thyroid Cytopathology: Harnessing Deep Learning for Accurate Diagnosis by Seo Young Oh, Yong Moon Lee, Dong Joo Kang, Hyeong Ju Kwon, Sabyasachi Chakraborty, Jae Hyun Park

“…Background: We address the application of artificial intelligence (AI) techniques in thyroid cytopathology, specifically for diagnosing papillary thyroid carcinoma (PTC), the most common type of thyroid cancer. Methods: Our research introduces deep learning frameworks that analyze cytological images from fine-needle aspiration cytology (FNAC), a key preoperative diagnostic method for PTC. …”
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Integrative transcriptomics and single-cell transcriptomics analyses reveal potential biomarkers and mechanisms of action in papillary thyroid carcinoma by Wanchen Cao, Kai Gao, Yi Zhao

“…ObjectivePapillary thyroid carcinoma (PTC) has a high recurrence rate and lacks reliable diagnostic biomarkers. …”
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Identification and Validation of Core Genes Involved in the Development of Papillary Thyroid Carcinoma via Bioinformatics Analysis by Xiaoyan Li, Jing He, Mingxia Zhou, Yun Cao, Yiting Jin, Qiang Zou

“…PPI network analysis demonstrated the interactions between those DEGs, and top 10 pivotal genes (TGFB1, CXCL8, LRRK2, CD44, CCND1, JUN, DCN, BCL2, ACACB, and CXCL12) with highest degree of connectivity were extracted from the network and verified by TCGA dataset and RT-PCR experiment of PTC samples. …”
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Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma. by Rong Fan, Lijin Dong, Ping Li, Xiaoming Wang, Xuewei Chen

“…<h4>Background</h4>With the increasing incidence of papillary thyroid carcinoma (PTC), PTC continues to garner attention worldwide; however its pathogenesis remains to be elucidated. …”
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HIF1A acts as target of XiHuang Pill in the treatment of papillary thyroid cancer by regulating dedifferentiation by Xu-Zhe Yu, Wei-Li Zhu, Hua-Chun Qian, Chun-Jiang Sun

“…BackgroundPapillary thyroid carcinoma (PTC) is the most common subtype of thyroid cancer and has shown a rising incidence globally. …”
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Identification of Novel Gene Signature Predicting Lymph Node Metastasis in Papillary Thyroid Cancer via Bioinformatics Analysis and in vitro Validation by Li H, Sun D, Jin K, Wang X

“…Therefore it was essential to explore novel biomarkers or methods to predict and evaluate the situation in the stages of PTC.Methods: In this study, mRNA sequence datasets from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) were utilized to obtain differentially expressed genes (DEGs) between PTC tumors and normal specimens and DEGs related to lymph node metastasis were identified using weighted gene co-expression network analysis (WGCNA) according to the clinical information. …”
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