Long non-coding RNAs PCAT-1 and FENDRR: diagnostic and prognostic potential in papillary thyroid carcinoma by Aya A. El-Hanafy, Omar A. Ammar, Doaa A. El-Hanafy, Sherine Refat, Amr Sameer, Osama Bahy, Maha O. Hammad

“…Purpose This study aimed to investigate the roles of lncRNAs, specifically prostate cancer-associated transcript 1 (PCAT-1) and Fetal-lethal non-coding developmental regulatory RNA (FENDRR), in the pathogenesis of thyroid carcinoma. …”
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Inhibition of long non-coding RNA ROR reverses resistance to Tamoxifen by inducing autophagy in breast cancer by Yuehua Li, Baohong Jiang, Hongbo Zhu, Xiaofei Qu, Liqin Zhao, Yeru Tan, Yiling Jiang, Mingchu Liao, Xiaoping Wu

“…The expression of long non-coding RNA ROR and expressions of multi-drug resistance-associated P-glycoprotein and glutathione S-transferase-π messenger RNA were detected using quantitative real-time polymerase chain reaction. …”
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Initial analysis of high-throughput sequencing of non-coding RNA in the peripheral blood of patients with subjective tinnitus by ZHOU Jingshi, LIANG Yinfei, FANG Bixing, LIU Zifeng, WANG Xinyi, ZENG Xiangli, LI Zhicheng

“…Objective To investigate the differentially expressed non-coding RNAs (ncRNAs) and their corresponding regulated messenger RNAs (mRNAs) in patients with subjective tinnitus. …”
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Long non-coding RNA H19 as a prognostic biomarker for oral squamous cell carcinoma by Kiran Kumar, Kaveri Hallikeri, Ajay Kumar Oli, Kiran Radder, Apoorva Jain, A. S. Shilpasree, Raghu Dhanapal, Abedelmalek Kalefh Tabnjh, Abedelmalek Kalefh Tabnjh, Abedelmalek Kalefh Tabnjh, Siddharthan Selvaraj, Siddharthan Selvaraj, Siddharthan Selvaraj

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Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System by Huixin Wei, Mingjian Chen, Shibin Wang, Zhiyong Wang, Baopeng Liao, Zehui Lin, Lisha He, Wei He

“…This study integrates the Facial Action Coding System (FACS) with three-dimensional digital image correlation (3D-DIC) to dynamically capture and quantitatively analyze skin deformation during facial expression. …”
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Static detection method for multi-level network source code vulnerabilities based on knowledge graph technology by Peng Xiao, Lina Zhang, Ying Yan, Zhenhong Zhang

“…The identified named entities are taken as the basic nodes in the knowledge graph to build the multi-level network source code vulnerability knowledge graph, calculate the vulnerability attack error and attack loss, and quantitatively evaluate the accuracy of detection and the potential harm of vulnerabilities. …”
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A novel MRI PET image fusion using shearlet transform and pulse coded neural network by Vella Satyanarayana, P. Mohanaiah

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Examining Nonverbal Communication in Dyadic Interactions With Virtual Humans Using an Integrated Coding System: Mixed Methods Analysis by Analay Perez, Rae Sakakibara, Srikar Baireddy, Michael D Fetters, Timothy C Guetterman

“…Traditional methods use quantitative or qualitative coding when analyzing dyadic data of nonverbal communication. …”
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Evaluating ChatGPT-3’s efficacy in solving coding tasks: implications for academic integrity in English language assessments by Seyedeh Elham Elhambakhsh

“…Abstract The purpose of this study was to examine ChatGPT-3’s capabilities to generate code solutions for assessment problems commonly assessed by automatic correction tools in the TEFL academic setting, focusing on the Kattis platform. …”
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An interprofessional approach to code stroke: a pilot study on integrating paramedics in the pre-clerkship medical simulation curriculum by Bradley Golden, Andrew Warren, Jachua Polcyn, Anaïs Natal, Wanda Jirau-Rosaly, Shilpa P. Brown, Elizabeth K. Rutkowski, Nicole Rockich-Winston

“…This study evaluates pre-clerkship medical students’ perceptions and attitudes towards communication with EMS personnel during a code stroke simulation. Second-year medical students (n = 190) participated in an interprofessional code stroke simulation that involved collaborating as a team with paramedics and neurologists. …”
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AutoGEEval: A Multimodal and Automated Evaluation Framework for Geospatial Code Generation on GEE with Large Language Models by Huayi Wu, Zhangxiao Shen, Shuyang Hou, Jianyuan Liang, Haoyue Jiao, Yaxian Qing, Xiaopu Zhang, Xu Li, Zhipeng Gui, Xuefeng Guan, Longgang Xiang

“…Geospatial code generation is emerging as a key direction in the integration of artificial intelligence and geoscientific analysis. …”
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Effect of lincRNA-EPS on osteoclastogenesis of RAW264.7 cells induced by RANKL and LPS: An experimental study by ZHANG Xu, WANG Yabing, SU Jiansheng

“…[Objective:] To study the effect of long non-coding RNA-EPS (lincRNA-EPS) on osteoclastogenesis of RAW264.7 cells induced by receptor activator for nuclear factor-κB ligand (RANKL) and lipopolysaccharide (LPS). …”
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Construction of a Microfluidic Platform for Quantitative Detection of Multiple Fusarium Toxins Based on Upconversion Encoded Microspheres by Shengjie WANG, Yongli YE, Jingdong SHAO, Xiulan SUN, Jiadi SUN

“…To achieve simultaneous and rapid detection of multiple mycotoxins, a microfluidic chip based on upconversion fluorescent-coded microspheres was constructed and integrated with in vitro diagnostic equipment to develop a quantitative detection platform for mycotoxin. …”
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Numerical assessment of ICRF-specific plasma-wall interaction in the new ITER baseline using the SSWICH-SW code by L. Colas, W. Helou, G. Urbanczyk, V. Bobkov, F. Calarco, N. Fedorczak, D. Milanesio, J. Hillairet

“…This contribution re-assesses this phenomenon close to the ITER ICRF antenna, focusing on the ICRF-specific gross erosion of W from the antenna port sides. Our quantitative estimates rely on predictive multi-2D numerical simulations of the ICRF antenna environment using the SSWICH-SW code. …”
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Construction and validation of a prognostic model for colorectal cancer based on migrasome-related long non-coding RNAs by Qiang Lv, Qingzhu Yang, Hongsheng Chen, Yang Wang, Yuliuming Wang, Xu Hu, Ming Liu

“…The expression levels of prognostic genes in COAD patients were validated via quantitative reverse transcription polymerase chain reaction (RT-qPCR). …”
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Detection assay of polymyxin resistance coding mcr-1 gene based on CRISPR/Cas13a system by Yingjie Song, Qiang Hu, Yao Han, Hongbo Liu, Zhenyang Huang, Mengwei Niu, Xue Dong, Kuocheng Yan, Li Jin, Hao Li, Yansong Sun

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The translatome of glioblastoma by Fleur M. G. Cornelissen, Zhaoren He, Edward Ciputra, Richard R. deHaas, Ammarina Beumer‐Chuwonpad, David Noske, W. Peter Vandertop, Sander R. Piersma, Connie R. Jiménez, Cornelis Murre, Bart A. Westerman

“…The translation of non‐coding RNAs (ncRNAs) was validated using in‐house and public mass spectrometry (MS) data, whereas RNA expression was confirmed by quantitative PCR (qPCR). …”
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Toward Fully-Automated Hardware-in-the-Loop Grid Code Compliance Certification of Inverter-Based Distributed Energy Resources by Luiz Fernando Rissotto Menegazzo, Anderson Luis do Nascimento Severo, Ricardo Jochann Franceschi Bortolini, Lucas Biselo Piton, Henrique Magnago, Fernanda de Morais Carnielutti, Lucas Vizzotto Bellinaso, Leandro Michels, Humberto Pinheiro

“…Inverter-based Distributed Energy Resources (DERs) third-party compliance testing has been widely required by most grid codes to guarantee interoperability with the electrical power system. …”
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A quantitative framework for tree–soil interaction mechanisms in expansive clay: Field investigation and empirical modeling by Xi Sun, Jie Li, You Gao, Xin Liu, Annan Zhou

“…Although vegetation-induced moisture changes are known to affect ground movement, quantitative characterization of tree–soil interactions remains limited due to insufficient field data and unclear relationships between tree water uptake and soil response. …”
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Designing and Validating an Educational Model of Accounting Graduate Students in the Knowledge and Skills Required in Qualitative and Quantitative Research by Akram Taftiyan, Nasrin Alraji, Fatemeh Mansouri Mohammad Abadi

“…The aim of the current research is to design and validate an educational model of accounting graduate students in the knowledge and skills required in qualitative and quantitative research and to explain and identify its components and indicators. …”
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