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  1. 5001

    SCENARIO MODELING OF PROCESS OF MOVEMENT OF FINANCIAL FLOWS BETWEEN INSTITUTIONAL SECTORS IN THE REGIONAL TERRITORIAL SYSTEM by I. V. Naumov

    Published 2018-03-01
    “…It allows detecting negative trends in the movement of financial resources between sectors of the economy, and form a picture of various scenarios of transformation in the process of movement of financial flows between them under the influence of different factors. …”
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    Article
  2. 5002

    MARC, a novel modular chimeric antigen receptor, improves T cell-based cancer immunotherapies by preventing early T cell exhaustion and enhancing persistence by Jean-Sebastien Delisle, Susan Moore, Etienne Gagnon, Margaux Tual, Angélique Bellemare-Pelletier, Delphine Guipouy, Negar Farzam-Kia, Leila Jafarzadeh, Jordan Quenneville, Benoit Barrette, Marc K Saba-El-Leil

    Published 2025-04-01
    “…In a clinically relevant mouse leukemia model, MARC-T cells exhibited remarkable long-term persistence and a less exhausted phenotype compared with conventional CAR-T cells.Conclusions With its modular architecture, the MARC offers unparalleled opportunities for optimization and broad applicability across different cell types, paving the way for transformative advancements in cell-based therapies. …”
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  3. 5003

    Lentivirus-Mediated Missense Mutation in HtrA1 Leads to Activation of the TGF-β/Smads Pathway and Increased Apoptosis of Mouse Brain Microvascular Endothelial Cells via the Oxidati... by Shi-na Song, Hui-juan Li, Jian-lin Liang, Qian-qian Ren, Chang-xin Li, Sui-yi Xu

    Published 2024-10-01
    “…Western blot technique was also used to evaluate the expression of transforming growth factor (TGF)-β/Smads-related signaling pathway proteins and the oxidative stress pathway protein nicotinamide adenine dinucleotide phosphate oxidase 4 (NOX4). …”
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  4. 5004

    Olive stone-derived biochar as a sustainable catalyst support for CO2 methanation by A. Villardon, A. Alcazar-Ruiz, J. Cencerrero, A. Romero, L. Sanchez- Silva, F. Dorado

    Published 2025-06-01
    “…This study explores the potential of biochar derived from agro-industrial waste, specifically olive stones, as an innovative and eco-friendly support for Ni-based catalysts in CO2 methanation. Three different chemical activation methods (KOH, ZnCl2, and H3PO4) were applied to enhance the textural and structural properties of the biochar, significantly influencing its catalytic performance. …”
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  5. 5005

    Modeling and Planning of Multi-Timescale Flexible Resources in Power Systems by Hai Li, Ning Zhang, Weihan Bao, Yue Fan, Ling Dong, Pengcheng Cai

    Published 2025-01-01
    “…Results show the proposed method can characterize multi-timescale flexibility with high accuracy, thus making it possible to fully account for flexibility at different timescales.…”
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  6. 5006

    Multi-step prediction of greenhouse crop growth based on the SVR_Seq2Seq model by Chao Wu, Zijing Zhou, Hong Qiu, Guowei Duan, Yeping Peng

    Published 2025-08-01
    “…This study compares the SVR_Seq2Seq model with the LSTM model, Bi-LSTM model, Transformer model, and Seq2Seq model across different prediction steps. …”
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  7. 5007
  8. 5008

    Cross-social-network user alignment research based on multi-dimensional user features by Tao Zhao, Heng Gao, Zecheng Wang, Dianjie Bi, Xuemin Chen

    Published 2024-12-01
    “…Second, we proposed a new inertia weight calculation method to improve the convergence speed from linear to nonlinear transformations. …”
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  9. 5009

    Older patients affected by COVID-19: investigating the existence of biological phenotypes by Alberto Zucchelli, Marta Parigi, Silvia Giliani, Davide Liborio Vetrano, Daniela Lucente, Emanuele Marzetti, Riccardo Calvani, Giuseppe Bellelli, Alessandra Marengoni

    Published 2024-11-01
    “…A hierarchical cluster analysis was run using log-transformed and scaled values of TNF-a, IL-1 beta, IL-6, PAI-1, GDF-15, NT-proBNP, and Cystatin C evaluated at admission. …”
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  10. 5010

    SGCL-LncLoc: An Interpretable Deep Learning Model for Improving lncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning by Min Li, Baoying Zhao, Yiming Li, Pingjian Ding, Rui Yin, Shichao Kan, Min Zeng

    Published 2024-09-01
    “…While previous computational methods have made progress in predicting lncRNA subcellular localization, most of them ignore the sequence order information by relying on k-mer frequency features to encode lncRNA sequences. …”
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  11. 5011

    Exploring the feasibility of integrating ultra‐high field magnetic resonance imaging neuroimaging with multimodal artificial intelligence for clinical diagnostics by Yifan Yuan, Kaitao Chen, Youjia Zhu, Yang Yu, Mintao Hu, Ying‐Hua Chu, Yi‐Cheng Hsu, Jie Hu, Qi Yue, Mianxin Liu

    Published 2024-10-01
    “…In addition, we explore whether ChatGPT‐4V can recognize different 7T MRI modalities and whether it can correctly offer diagnosis of tumors based on single or multiple modality 7T MRI. …”
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  12. 5012

    ANALYSIS OF THE FAULT-BLOCK STRUCTURE AND STRESS STATE OF THE SEDIMENTARY COVER IN GAS-CONDENSATE DEPOSITS: BASICS OF THE TECTONOPHYSICAL APPROACH by K. Zh. Seminsky, Yu. P. Burzunova, S. A. Bornyakov, A. I. Miroshnichenko, A. S. Cheremnykh, A. K. Seminsky, I. V. Buddo, A. S. Smirnov, I. V. Gorlov

    Published 2023-04-01
    “…Consideration is being given to the tectonophysical approach to the reconstruction of structure formation mechanisms and stress-strain state of rocks in hydrocarbon deposits localized in the platform cover, which has a complex structure in terms of rheological layering and disturbance by different-rank fractures. With the Kovykta gas condensate field, largest in Eastern Siberia, there were shown the main methods and ways of using modern achievements in tectonophysics for interpreting geological and geophysical information on the upper and lower parts of the sedimentary cover, unique in terms of volume and significance, that was obtained during geological exploration therein. …”
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  13. 5013

    Acupuncture Alleviates Blood–Brain Barrier Damage After Delayed rtPA Thrombolysis for Acute Ischemic Stroke by Regulating Ferroptosis by Zheng Huang, Tianliang Lu, Xinyu Liu, Zhihui Zhang, Yangyang Song, Yiyang Li, Wentao Xu, Xinchang Zhang, Guangxia Ni

    Published 2025-07-01
    “…This study aims to investigate the protective effects of acupuncture on rats subjected to delayed rtPA thrombolysis in cerebral infarction and its relationship with ferroptosis. Methods Adult male Sprague‐Dawley rats were used to establish a thromboembolic stroke model and were randomly assigned to different treatment groups. …”
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  14. 5014

    Mamba-YOLO-ML: A State-Space Model-Based Approach for Mulberry Leaf Disease Detection by Chang Yuan, Shicheng Li, Ke Wang, Qinghua Liu, Wentao Li, Weiguo Zhao, Guangyou Guo, Lai Wei

    Published 2025-07-01
    “…Visualization analysis of the detection performance on the test set using GradCAM revealed that the enhanced Mamba-YOLO-ML model demonstrates earlier and more effective focus on characteristic regions of different diseases compared with its predecessor. The improved model achieved superior detection accuracy with 78.2% mAP50 and 59.9% mAP50:95, outperforming YOLO variants and comparable Transformer-based models, establishing new state-of-the-art performance. …”
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  15. 5015

    Methylation Profile of DAPK-1 Between Oral Potentially Malignant Disorders and Oral Squamous Cell Carcinoma by Petros Papadopoulos, Vasileios Zisis, Dimitrios Andreadis, Dimitrios Parlitsis, Eirini Louizou, Aikaterini Tsirtsaki, Stamatia Maria Rapti, Stathis Tsitsopoulos, Konstantinos Vahtsevanos, Athanasios Poulopoulos

    Published 2024-11-01
    “…The aim of this study is to investigate the DNA methylation of DAPK-1 gene in oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) compared to normal oral epithelium and to evaluate the possible role of methylated DAPK-1 as an indicator of the early onset of malignant transformation of oral potentially malignant disorders. …”
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  16. 5016

    Advancing road maintenance with EfficientDet-based pothole monitoring by Jenefa Archpaul, Taurshia Antony, Kuriakose Bessy Mani, Kumar Edward Naveen Vijaya, Lincy Archpaul

    Published 2025-01-01
    “…Traditional detection methods frequently fall short in terms of accuracy and real-time capability. …”
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  17. 5017

    Constructive layout for small rotor of straight-flow rotary ripper by V. A. Nikolaev

    Published 2023-05-01
    “…Applying the well-known formulas of theoretical mechanics, we will determine the angular velocity of the small rotor and other kinematic parameters.Results. Based on the method of constructing a projection on the transverse-vertical plane of the blade of a knife, a tooth and a disc of a small rotor, when there is a different angle of deviation of the blade in the cutting plane, the main geometric parameters of the elements of the small rotor of a straight-flow rotary ripper are revealed. …”
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  18. 5018

    A Temperature Field Simulation of the Pressure Quenching Process of 18Cr2Ni2MoVNbA Gears by Yu Wang, Ziheng Zhao, Jingang Liu, Xiaoxuan Tu, Sisi Liu

    Published 2025-04-01
    “…In this paper, gears made of 18Cr2Ni2MoVNbA steel were taken as the research object, and their cooling curves under different flow rate conditions were determined. By calculating the corresponding heat transfer coefficients, a finite element simulation method was used to study the temperature field distribution law of different flow rate combinations on the gears in the cooling process of pressure quenching. …”
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  19. 5019

    Econometric assessment of the effect of Small and medium enterprises on economic development (The ase of Azerbaijan) by S. Orujov, E. Alakbarov, J. Maharramov

    Published 2019-06-01
    “…We did initial data cleaning and transformations to make the data serve our purposes and these manipulations are given in the paper. …”
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  20. 5020

    Changes in expressions of serum inflammation factor levels and renal tissue immune-associated proteins in multiple factors-caused IgA nephropathymodel rats by LIU Jian-gang, CUI Rui-zhao, XU Yu-rou, SU Qin-min

    Published 2020-01-01
    “…Objective To observe the changes in expressions of serum inflammation factors, kidney tissues T cell immune globulin sticky protein 1(TIM-1)and transforming growth factor-beta 1(TGF-beta 1)through multiple factors-caused IgA nephropathy model rats,and to investigate the inflammatory immune mechanism of IgA nephropathy.Methods Twenty healthy male Sprague-Dauley rats were randomly divided(Random number table)into 2 groups with a random digit table:control group(n=10),and model group(n=10).The rats in the model group were administered gastrically with bovine serum albumin solution(400 mg/kg,1 mL/100 g)every other day for 6 weeks,and injected subcutaneously with 0.5 mL castor oil and 0.1 mL carbon tetrachloride solution once a week for 9 weeks,and injected intravenously through the tail vein with lipopolysaccharide(LPS)solution(0.05 mg/rat)in week 6 and week 8.The rats in the control group were administered gastrically with the same amount of distilled water,and injected subcutaneously with 0.9% sodium chloride solution at a dose of 0.4 mL/rat at the same time points,and injected intravenously through the tail vein with 0.9% sodium chloride solution at a dose of 0.2 mL/rat.The modeling time was 10 weeks.After modeling,urinary microalbumin,24 h urine protein and liver and kidney function indices were determined for each group.ELSIA method was used to detect contents of IgA,IFN-γ,IL-4,and IL-6 in the serum,and expressions of TGF-β1 and TIM-1 in rat kidney tissues.Results In the model group,in week 8 after modeling the rats developed less shiny fur color with different severities,listlessness,loose stools.Compared to the rats in the control group,the rats in the model group had significantly increased urinary microalbumin and 24 h urine protein(P<0.05),and obviously increased IgA content in the serum and fluorescent expressions of IgA in renal tissues(P<0.05).Compared to the rats in the control group,the rats in the model group showed notably increased serum IL-4 and IL-6 levels(P<0.05),significantly enhanced expressions of GF-β1 and TIM-1 in renal tissues(P<0.05). …”
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