Results 91 to 100 of about 1,053,214 (335)

DETERMINATION OF THE OPTIMAL SCANNING STEP FOR EVALUATION OF IMAGE RECONSTRUCTION QUALITY IN MAGNETOACOUSTIC TOMOGRAPHY WITH MAGNETIC INDUCTION

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2019
Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) is a new hybrid imaging modality especially dedicated for non-invasive electrical conductivity imaging of low-conductivity objects such as e.g. biological tissues.
Adam Ryszard Zywica, Marcin Ziolkowski
doaj   +1 more source

RRP9 Promotes Esophageal Squamous Cell Carcinoma Progression through E2F1 Transcriptional Regulation of CDK1

Advanced Biology, EarlyView.
The study reveals that RRP9 is abnormally highly expressed in ESCC tissues and is closely associated with poor prognosis in patients. Furthermore, it is found that RRP9 promotes ESCC progression through enhancing the E2F1‐mediated transcriptional regulation of CDK1.
Gang He, Yilong Wan, Yanbo Zhu, Bo Peng, Shengxiang Shao, Xinyi Zou, Zhenyu Han, Jiaxi Li, Sheng Ju, Xin Tong, Jun Zhao, Hansi Liang, Liuqing Zhang, Jiashi Xiong, Dong Jiang   +14 more
wiley   +1 more source

Dual-Channel Reconstruction Network for Image Compressive Sensing

Sensors, 2019
The existing compressive sensing (CS) reconstruction algorithms require enormous computation and reconstruction quality that is not satisfying. In this paper, we propose a novel Dual-Channel Reconstruction Network (DC-Net) module to build two CS ...
Zhongqiang Zhang, Dahua Gao, Xuemei Xie, Guangming Shi   +3 more
doaj   +1 more source

Loss of Stat3 in Prx1+ Progenitors Impairs Molar Root Development

Advanced Biology, EarlyView.
Stat3 critically regulates mandibular first molar and alveolar bone morphogenesis. Conditional ablation of Stat3 disrupts the osteogenic capacity of Prx1+ mesenchymal progenitors, as evidenced across in vivo and in vitro models. Abstract Signal Transducer and Activator of Transcription 3 (Stat3) acts as a central transcriptional modulator coordinating ...
Xin Feng, Wangyu Luo, Yichen Yao, Lichieh Lin, Laiting Chan, Jiarui Lu, Zijing Huang, Jingyi Feng, Le Zhao, Xiaolei Zhang, Liu Yang   +10 more
wiley   +1 more source

Image super‐resolution reconstruction based on implicit image functions

IET Image Processing
Image super‐resolution (SR) reconstruction is a key technique for improving image quality and details. Conventional methods are frequently limited by interpolation, filtering, or statistical approaches; thus, they are unable to reconstruct high‐quality ...
Hai Lin, JunJie Yang
doaj   +1 more source

Compressed Sensing Image Reconstruction with Fast Convolution Filtering

Photonics
Image reconstruction is a crucial aspect of computational imaging. The compressed sensing reconstruction (CS) method has been developed to obtain high-quality images. However, the CS method is commonly time-consuming in image reconstruction.
Runbo Guo, Hao Zhang
doaj   +1 more source

Accelerated gradient methods for total-variation-based CT image reconstruction [PDF]

, 2011
Total-variation (TV)-based Computed Tomography (CT) image reconstruction has shown experimentally to be capable of producing accurate reconstructions from sparse-view data.
Hansen, Per Christian, Jensen, Søren Holdt, Jensen, Tobias Lindstrøm, Jørgensen, Jakob Heide, Pan, Xiaochuan, Sidky, Emil Y.   +5 more
core   +2 more sources

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

Advanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec, Lukáš Daněk, Jan Foltýn, Petr Svoboda, Carsten Gachot, Martin Hartl, Ivan Křupka   +6 more
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 more
wiley   +1 more source