Results 51 to 60 of about 2,013 (228)

Detachment‐Induced FAK‐STAT3‐NNMT Inhibits CTCs Anoikis to Promote Breast Cancer Metastasis by Enhancing Fatty Acid Oxidation

Advanced Science, EarlyView.
The FAK‐STAT3‐NNMT axis drives anoikis resistance in circulating tumor cells by reprogramming fatty acid oxidation. Targeting this metabolic vulnerability suppresses metastasis, untangling a key mechanism of breast cancer progression and revealing NNMT as a promising therapeutic target.
Qingchao Tong, Yilei Ma, Yuzhen Gao, Lin Zhou, Luping Lou, Qiang Fang, Sining Fang, Ru Zhao, Jin Zeng, Jun Yang, Guoli Li, Xinyou Xie, Yanzhong Wang, Jun Zhang   +13 more
wiley   +1 more source

Optical Character Recognition (OCR) for Telugu: Database, Algorithm and Application [PDF]

2018 25th IEEE International Conference on Image Processing (ICIP), 2018
Accepted to IEEE International Conference on Image Processing ...
Konkimalla, Chandra Prakash, Yellapragada, Manikanta Srikar, Gayam, Trishal, Mandal, Souraj, Channappayya, Sumohana S.   +4 more
openaire   +2 more sources

Lactylation Reprogramming in the Bone Infection Microenvironment Identifies PGK1 K361 as a Potential Therapeutic Target for Osteogenic Dysfunction

Advanced Science, EarlyView.
Staphylococcus aureus (S. aureus) infection creates a high‐lactate microenvironment, promoting p300‐mediated lactylation of PGK1 at lysine 361 (K361). Lactylated PGK1 translocates to the mitochondrial outer membrane and interacts with VDAC3. This interaction triggers FtMt downregulation, iron accumulation, and excessive PINK1/Parkin‐mediated mitophagy,
Han‐jun Qin, Si‐ying He, Ting‐hui Xiao, Da‐mao Dai, Xin‐jia Hu, Nan Jiang   +5 more
wiley   +1 more source

Document Image Binarization Using Retinex and Global Thresholding

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2015
Document images are usually degraded in the course of photocopying, faxing, printing, or scanning. Degradation problems seems negligible to human eyes but can be responsible for an abrupt decline in accuracy by the current generation of optical character
Marian Wagdy, Ibrahima Faye, Dayang Rohaya   +2 more
doaj   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Verbesserung der OCR in digitalen Sammlungen von Bibliotheken

027.7, 2016
Möglichkeiten zur Verbesserung der automatischen Texterkennung (OCR) in digitalen Sammlungen insbesondere durch computerlinguistische Methoden werden beschrieben und bisherige PostOCR-Verfahren analysiert.
Konstantin Baierer, Philipp Zumstein
doaj   +1 more source

OCR: Optical Character Recognition

International Journal for Research in Applied Science and Engineering Technology
Abstract:In many different fields, there is a great need to save the information contained in printed or written documents or ima ges to the computer for later use. An easy way to save the information in these printed documents to your computer is to scan the document and save it as an image file.
openaire   +1 more source

Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks

, 2020
Optical character recognition (OCR) is widely applied in real applications serving as a key preprocessing tool. The adoption of deep neural network (DNN) in OCR results in the vulnerability against adversarial examples which are crafted to mislead the output of the threat model.
Chen, Lu, Xu, Wei
openaire   +2 more sources

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Character recognition system for pegon typed manuscript

Heliyon
The Pegon script is an Arabic-based writing system used for Javanese, Sundanese, Madurese, and Indonesian languages. Due to various reasons, this script is now mainly found among collectors and private Islamic boarding schools (pesantren), creating a ...
Yova Ruldeviyani, Heru Suhartanto, Beltsazar Anugrah Sotardodo, Muhammad Hanif Fahreza, Andre Septiano, Muhammad Febrian Rachmadi   +5 more
doaj   +1 more source