Effect of lncRNA H19 on Rats with Chronic Heart Failure Based on TGF-β1/Smad3 Signaling Pathway by WANG Lingyan, CAO Guojun, MEI Yang, ZHANG Bin, ZHOU Shijing

“…Two days after the last injection, color Doppler ultrasound was used to detect cardiac function indexes [left ventricular ejection fraction (LVEF), left ventricular fractional shortening (LVFS), left ventricular end-systolic dimension (LVESD), left ventricular end-diastolic dimension (LVEDD)]; Masson staining was used to detect myocardial fibrosis and collagen volume fraction (CVF); real-time fluorescence quantitative PCR was used to detect the transcription level of lncRNA H19 and miRNA-200a in myocardial tissue of rats; Western blot method was used to detect the protein expression level of TGF-β1 and Smad3 in myocardial tissue of rats.ResultsCompared with sham surgery group, the protein expression level of LVEDD, LVESD, TGF-β1, Smad3 and transcription level of miRNA-200a in the other four groups significantly increased, while the protein expression level of LVFS, LVEF and transcription level of lncRNA H19 significantly decreased (<italic>P</italic>&lt;0.05); compared with the heart failure group and the negative control group, the protein expression level of LVEDD, LVESD, TGF-β1, Smad3 and transcription level of miRNA-200a in the overexpression group and the combined overexpression group significantly decreased, while the protein expression level of LVFS, LVEF and transcription level of lncRNA H19 significantly increased (<italic>P</italic>&lt;0.05); compared with the overexpression group, the protein expression level of LVEDD, LVESD, TGF-β1, Smad3 and transcription level of miRNA-200a in the combined overexpression group significantly increased, while LVFS and LVEF significantly decreased (<italic>P</italic>&lt;0.05), and the transcription level of lncRNA H19 was not statistically different (<italic>P</italic>&gt;0.05). …”
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EXAMINATION OF ELECTROPHYSIOLOGICAL PARAMETERS OF THE ATRIUMS IN PATIENTS WITH LONG-TERM PERSISTENT FORM OF ATRIAL FIBRILLATION AND VALVULAR HEART DISEASE by A. A. Kulikov, L. A. Bokeriya

“…Also, in 80 % of patients, relative insufficiency of the tricuspid valve was detected. Chronic heart failure functional class per NYHA was III. …”
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Improving Malaria diagnosis through interpretable customized CNNs architectures by Md. Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, Fariya Bintay Shafi, Mohamed Arselene Ayari, Amith Khandakar, M. Abdullah-Al-Wadud, S. M. Riazul Islam

“…Among these, the SPCNN emerged as the most successful model, outperforming all other models in evaluation metrics. …”
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Expression and structural analysis of taste receptor genes in Iberian and Duroc pigs by Cristina Óvilo, Rita Benítez, Yolanda Núñez, Ramón Peiró-Pastor, Fabian García, Eduardo De Mercado, Emilio Gómez-Izquierdo, Juan García-Casco, Clemente López-Bote, María Muñoz

“…The diet effect was modulated by breed, with TAS1R1, TAS1R3, and TAS2R4 genes being overexpressed only in Duroc pigs fed the HO diet. Detection of genetic variants (single nucleotide polymorphisms, SNPs) for this panel of genes was performed on muscle RNA-seq data, and three SNPs in the TAS1R1, TAS1R3, and CD36 genes were selected for association studies. …”
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In Vitro Techniques for Microleakage Evaluation of Coronary Restorative Materials: A Scoping and Mapping Review by Sofia Vieira, Carlos Miguel Marto, Ana Coelho, Inês Amaro, Inês Francisco, Francisco Vale, Siri Paulo, Manuel Marques Ferreira, Eunice Carrilho, Anabela Paula

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Diagnostic Value of Superparamagnetic Iron Oxide Nanoparticles as a Tracer for Sentinel Lymph Node Mapping in Early-Stage Cervical Cancer: The Preliminary Clinical Experience by Marcin A. Jedryka, Andrzej Czekanski, Marcin Kryszpin, Tymoteusz Poprawski, Krzysztof Grobelak, Piotr Lepka, Rafał Matkowski

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Enhanced etching of GaN with N2 gas addition during CVD diamond growth by Awadesh Kumar Mallik, Giridharan Krishnamurthy, Wen-Ching Shih, Paulius Pobedinskas, Jan D’Haen, Ken Haenen

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The impact of deregressed foreign breeding values on national beef cattle single-step genomic evaluation by Damilola Adekale, Zengting Liu, Ross Evans, Thierry Pabiou, Reinhard Reents, Dierck Segelke, Jens Tetens

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Decellularized Green and Brown Macroalgae as Cellulose Matrices for Tissue Engineering by Caitlin Berry-Kilgour, Indrawati Oey, Jaydee Cabral, Georgina Dowd, Lyn Wise

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Youth and Adolescent Athlete Musculoskeletal Health: Dietary and Nutritional Strategies to Optimise Injury Prevention and Support Recovery by Rebekah Alcock, Matthew Hislop, Helen Anna Vidgen, Ben Desbrow

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Towards an RFI Mitigation Algorithm in Synthetic Aperture Interferometer Radiometry: Application to the SMOS Space Mission by Ali Khazaal

“…The second step employs a modified version of the previous algorithm, incorporating a dynamic, source-specific search to detect and correct residual interferences. …”
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Fabrication and Characterization of Immature Porcine Cartilage-Derived Cell Biomembranes by Phuong-Vy Bui, Vang Pham Thi, Trung-Nhan Vo, Viet-Trinh Nguyen, Thai-Duong Tran, Vy-Khanh Vo, Phuong Le Thi, Dieu Linh Tran, Minh-Dung Truong

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Qualitative Analysis of Micro-System-Level Factors Determining Sport Persistence by Bence Tamás Selejó Joó, Hanna Czipa, Regina Bódi, Zsuzsa Lupócz, Rozália Paronai, Benedek Tibor Tóth, Hanna Léna Tóth, Oszkár Csaba Kocsner, Buda Lovas, Csanád Lukácsi, Mátyás Kovács, Karolina Eszter Kovács

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Investigation on the Radar Scattering and Doppler Spectrum From Trimaran Based on the Motion of Six Degrees of Freedom by Yuxin Deng, Jinxing Li, Wangqiang Jiang, Min Zhang

“…Second, an accelerated geometrical optics and physical optics algorithm using the light source function (GO-PO&#x002F;LSF) is proposed, which uses the light source function to realize the visibility judgment of surfaces and greatly reduces the computation time. …”
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Polymeric hollow fibers for encapsulating essential oil with decongestant potential and physicochemical study by Reyhane Shojaei, Mehdi Ansari, Neda Mohamadi, Fariba Sharififar

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Multi-layered electrospun grafts for surgical repair: Biomimicking physiological ascending aortic compliance by Julia Krammer, Maximilian Pichlmaier, Jan Stana, Christian Hagl, Sven Peterss, Maximilian Grab, Linda Grefen

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A Machine-Learning-Based Ocean-Current Velocity Inversion Model Using OCN From Sentinel-1 Observations by Yang Bai, Yubin Zhang, Xudong Zhang, Xiaofeng Li

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Wind Field Retrieval From Co-Polarized SAR Imagery Without External Wind Direction Assistance by Xianen Wei, Jinsong Chong, Yawei Zhao, Lijie Diao, Xuan Jin

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Estimation of Above-Ground Biomass for <italic>Dendrocalamus Giganteus</italic> Utilizing Spaceborne LiDAR GEDI Data by Huanfen Yang, Zhen Qin, Qingtai Shu, Li Xu, Jinge Yu, Shaolong Luo, Zaikun Wu, Cuifen Xia, Zhengdao Yang

“…The outcomes reveal that 1) the results showed that the power function emerged as the most efficacious model, with coefficient of determination (<italic>R</italic>²) &#x003D; 0.87 and root mean square error (RMSE) &#x003D; 0.00051 Mg, in estimating the AGB of <italic>Dendrocalamus giganteus</italic>. 2) Based on the feature importance ranking of Random Forest, five variables were selected from the 40 extracted from GEDI, achieving RMSE &#x003D; 8.21 Mg&#x002F;ha and mean absolute error (MAE) &#x003D; 6.12 Mg&#x002F;ha. …”
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Fine-Grained Style Alignment and Class Balance for Unsupervised Domain Adaptation in Remote Sensing Image Segmentation by Yousheng Xu, Weiji Wang, Wei Yao, Shengzhou Xu

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