Showing 2,381 - 2,400 results of 2,894 for search 'features development patterns', query time: 0.16s Refine Results
  1. 2381
  2. 2382

    Current concepts on etiology of the pathogenetic mechanisms related to chronic endometritis by D. E. Galkina, T. A. Makarenko

    Published 2023-03-01
    “…The wide range of pathogenetic features of developing chronic inflammation in the endometrium highlighted here may be promising not only for identification of diagnostic markers, but also forimproving endometrialregenerative ability,whichwill increase odds for successfully executed reproductive function in infertile women.…”
    Get full text
    Article
  3. 2383

    The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia by Zhixiang Chen, Zhixiang Chen, Zhimei Chen, Xiaobo Huang, Xiaobo Huang, Xiaobo Huang, Xiongbin Yan, Xiongbin Yan, Xiaolin Lai, Xiaolin Lai, Shaoyuan Wang, Shaoyuan Wang

    Published 2025-06-01
    “…A clinical nomogram integrating the signature with prognostic indicators was developed. The expression of the 12 prognostic genes were tested and compared in AML and healthy donors. …”
    Get full text
    Article
  4. 2384

    The Use of Digital Devices to Monitor Physical Behavior in Motor Neuron Disease: Systematic Review by Lucy Samantha Musson, Nina Mitic, Victoria Leigh-Valero, Gladys Onambele-Pearson, Liam Knox, Frederik J Steyn, Cory J Holdom, Taylor JM Dick, Ruben PA van Eijk, Jordi WJ van Unnik, Lianne CM Botman, Emily Beswick, Deirdre Murray, Alys Griffiths, Christopher McDermott, Esther Hobson, Amina Chaouch, Emma Hodson-Tole

    Published 2025-04-01
    “…Studies derived traditional end points focusing on duration, intensity, and frequency of physical activity or nontraditional end points focusing on features of an individual’s movement patterns. The correlation coefficients (r) between physical behavior end points and ALSFRS-R ranged from 0.31 to 0.78. …”
    Get full text
    Article
  5. 2385

    PPIH Expression Correlates with Tumor Aggressiveness and Immune Dysregulation in Hepatocellular Carcinoma by Bei J, Sun Z, Fu R, Huang X, Huang J, Luo Y, Li Y, Chen Y, Wei Z

    Published 2024-12-01
    “…Immune infiltration was analyzed via CIBERSORT and ssGSEA, while DNA methylation and somatic mutation analyses were performed using MExpress and “maftools”, respectively, alongside in vitro and in vivo experiments to assess PPIH’s functional roles.Results: Our findings indicated that PPIH is significantly upregulated in various cancer types, correlating with poor patient prognosis, increased somatic mutations, and altered gene methylation patterns. High PPIH levels were linked to enhanced T regulatory (Treg) cell infiltration and a decline in Th17 cell populations, impacting vital pathways related to DNA damage repair and tumor proliferation. …”
    Get full text
    Article
  6. 2386
  7. 2387

    Supply-Demand Matching Evaluation and Coupling Coordination of Cultural Ecosystem Services in Urban Park Green Spaces by Yang YU, Xian YANG, Xiang LI, Liyuan QIAN, Sixiang ZHOU

    Published 2025-03-01
    “…Meanwhile, the comprehensive demand level for CES displays an aggregated cluster distribution pattern, where high-demand zones are located in the central and southern part of the main urban area with high population density, strong human activity, intensive urban development, and well-developed facilities, while low-demand zones are found in the less densely populated and developed northeastern part. …”
    Get full text
    Article
  8. 2388
  9. 2389

    Design and Analysis of Plasma-Based Reconfigurable Maxwell Fish-Eye-Lens Antennas by Jafar Bazrafshan, Fatemeh Sadeghikia, Mohamed Himdi, Ali Karami Horestani, Hajar Binti Ja'afar

    Published 2024-12-01
    “…Therefore, a key novelty of this research is the development of updated analytical design equations for MFE lenses incorporating plasma dielectrics. …”
    Get full text
    Article
  10. 2390

    Exploring Applications of Convolutional Neural Networks in Analyzing Multispectral Satellite Imagery: A Systematic Review by Antonia Ivanda, Ljiljana Šerić, Maja Braović

    Published 2025-04-01
    “…Remote sensing is of great importance for analyzing and studying various phenomena occurrence and development on Earth. Today is possible to extract features specific to various fields of application with the application of modern machine learning techniques, such as Convolutional Neural Networks (CNN) on MultiSpectral Images (MSI). …”
    Get full text
    Article
  11. 2391

    Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

    Published 2025-06-01
    “…Introduction. Trade development requires the implementation of artificial intelligence and machine learning technologies to improve the accuracy of delivery forecasts. …”
    Get full text
    Article
  12. 2392

    Advances in application of ultrasound in diagnosis of diabetic nephropathy by GUO Juan, YANG Zhifang, JI Ri

    Published 2025-06-01
    “…In DN patients, shear wave velocity (SWV) exhibits a characteristic pattern of "initial increase followed by decrease", which may correlate with histopathological staging. …”
    Get full text
    Article
  13. 2393

    AI-powered simulation-based inference of a genuinely spatial-stochastic gene regulation model of early mouse embryogenesis. by Michael Alexander Ramirez Sierra, Thomas R Sokolowski

    Published 2024-11-01
    “…Understanding how multicellular organisms reliably orchestrate cell-fate decisions is a central challenge in developmental biology, particularly in early mammalian development, where tissue-level differentiation arises from seemingly cell-autonomous mechanisms. …”
    Get full text
    Article
  14. 2394

    Fluid Dynamics Exploration in Molten Salt Reactors: A Comprehensive Study of Draining Tank Using the Moving Particle Semi-Implicit Method by Yacobus Yulianto, Asril Pramutadi Andi Mustari, Muhammad Rizqie Arbie

    Published 2025-05-01
    “…Results reveal a consistent discharge pattern across all fluids, characterized by an initial rapid flow phase followed by gradual stabilization. …”
    Get full text
    Article
  15. 2395

    Properties of novel biodegradable film from gelatin capsule waste as influenced by various solvents and washing cycles by Pudthaya Kumnerdsiri, Sasina Sanprasert, Anusorn Seubsai, Jaksuma Pongsetkul, Nathdanai Harnkarnsujarit, Saroat Rawdkuen, Samart Sai-ut, Suphat Phongthai, Piyangkun Lueangjaroenkit, Ekasit Onsaard, Ali Muhammed Moula Ali, Thomas Karbowiak, Wanli Zhang, Passakorn Kingwascharapong

    Published 2024-12-01
    “…Biodegradable films, featuring eco-friendly attributes, offer a promising solution to environmental pollution and ecological challenges, serving as a viable alternative to synthetic polymer packaging films. …”
    Get full text
    Article
  16. 2396

    Nanoparticle-based therapeutic strategies for chronic liver diseases: Advances and insights by Sathiyamoorthy Padmanaban, Ji-Won Baek, Sai Sahithya Chamarthy, Saipriya Chandrasekaran, Antony V Samrot, Vijayakumar Gosu, In-Kyu Park, Kamalakannan Radhakrishnan, Don-Kyu Kim

    Published 2025-06-01
    “…The progression of liver fibrosis contributes to the development of cirrhosis, which can further lead to hepatocellular carcinoma, portal hypertension, hepatic decompensation, and hepatic encephalopathy. …”
    Get full text
    Article
  17. 2397

    Potential evaluation of saline aquifers for the geological storage of carbon dioxide: A case study of saline aquifers in the Qian-5 member in northeastern Ordos Basin by Yan Li, Peng Li, Hong-jun Qu, Gui-wen Wang, Xiao-han Sun, Chang Ma, Tian-xing Yao

    Published 2024-01-01
    “…This study calculated the technical control capacities of CO2 of the saline aquifers in the fifth member of the Shiqianfeng Formation (the Qian-5 member) based on the statistical analysis of the logging and the drilling and core data from more than 200 wells in the northeastern Ordos Basin, as well as the sedimentary facies, formation lithology, and saline aquifer development patterns of the Qian-5 member. The results show that (1) the reservoirs of saline aquifers in the Qian-5 member, which comprise distributary channel sand bodies of deltaic plains, feature low porosities and permeabilities; (2) The study area hosts three NNE-directed saline aquifer zones, where saline aquifers generally have a single-layer thickness of 3–8 m and a cumulative thickness of 8–24 m; (3) The saline aquifers of the Qian-5 member have a total technical control capacity of CO2 of 119.25 × 106 t. …”
    Get full text
    Article
  18. 2398

    Modeling the spread of forest fires through cellular automata by leveraging deep learning to derive transition rules by Zucheng Zhou, Quanli Xu, Junhua Yi, Youyou Li, Shiying Zhang, Wenhui Li

    Published 2025-09-01
    “…The Transformer model excels in capturing fire-spread patterns owing to its robust feature extraction abilities and capacity to manage long-range dependencies, enabling the automatic generation of CA transition rules that more accurately reflect real fire behavior and ultimately improve the simulation of fire spread. …”
    Get full text
    Article
  19. 2399

    Multiclass aerial image recognition using improved Black Widow Optimization with deep learning on unmanned aerial networks imaging by Mahmoud Ragab, Bandar M. Alghamdi, Sami Saeed Binyamin, Sultan Algarni, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani

    Published 2025-11-01
    “…To attain this, the MAIR-IBWODL method utilizes the SE-DenseNet method for learning complex feature patterns from RS images. Furthermore, the MAIR-IBWODL method employs the IBWO method for the hyperparameter range of the SE-DenseNet model. …”
    Get full text
    Article
  20. 2400

    Can the anisotropic hydraulic conductivity of an aquifer be determined using surface displacement data? A case studyZenodo by Sona Salehian Ghamsari, Tonie van Dam, Jack S. Hale

    Published 2025-06-01
    “…The goal of this study is to use a poroelastic model to calculate surface displacements given known pumping rates to predict the potential utility of Interferometric Synthetic Aperture Radar (InSAR) data for inferring information about anisotropic hydraulic conductivity (AHC) in aquifer systems. To this end, we develop a three-dimensional anisotropic poroelastic model mimicking the main features of the 1994 Anderson Junction aquifer test in southwestern Utah with a 24 to 1 ratio of hydraulic conductivity along the principal axes, previously estimated in the literature using traditional well observation techniques. …”
    Get full text
    Article