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Leaky Scanning

Leaky Scanning

During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA. Marilyn Kozak discovered that the sequence RCCAUGG (where R...

Buffers: Overview

Buffers: Overview

Buffers play a crucial role in stabilizing the pH of a solution by mitigating the effects of small amounts of added acid or base. They consist of a weak acid and its conjugate base or a weak base and its conjugate acid. A solution of acetic acid and sodium acetate is an example of a buffer that consists of a weak acid and its salt: CH3COOH (aq) + CH3COONa (aq). An example of a buffer that consists of a weak base and its salt is a solution of ammonia and ammonium chloride: NH3 (aq) + NH4Cl (aq).

Automatic Processing and Automatic Social Behavior

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

Buffers

Buffers

A solution containing appreciable amounts of a weak conjugate acid-base pair is called a buffer solution, or a buffer. Buffer solutions resist a change in pH when small amounts of a strong acid or a strong base are added. A solution of acetic acid and sodium acetate is an example of a buffer that consists of a weak acid and its salt: CH3COOH (aq) + CH3COONa (aq). An example of a buffer that consists of a weak base and its salt is a solution of ammonia and ammonium chloride: NH3 (aq) + NH4Cl...

Initiation of Translation

Initiation of Translation

Initiation of Translation

Initiation of Translation

Initiating translation is complex because it involves multiple molecules. Initiator tRNA, ribosomal subunits, and eukaryotic initiation factors (eIFs) are all required to assemble on the initiation codon of mRNA. This process consists of several steps that are mediated by different eIFs.
First, the initiator tRNA must be selected from the pool of elongator tRNAs by eukaryotic initiation factor 2 (eIF2). The initiator tRNA (Met-tRNAi) has conserved sequence elements including modified bases at...

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Related Experiment Video

Updated: May 4, 2026

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

Toward integrated scene text reading.

Jerod J Weinman¹, Zachary Butler¹, Dugan Knoll¹

¹Grinnell College, Grinnell.

IEEE Transactions on Pattern Analysis and Machine Intelligence

|December 21, 2013

Summary

This study presents a novel system for reading text in images, overcoming challenges like blur and curves. The scene text reading system achieves state-of-the-art performance on benchmark datasets.

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Area of Science:

Computer Vision
Pattern Recognition
Natural Language Processing

Background:

Digital camera proliferation and vast text data have revitalized the classic problem of reading.
Scene text reading presents unique challenges beyond traditional document processing, including motion blur, curved text, perspective distortion, and occlusion.

Purpose of the Study:

To develop and evaluate a robust system for accurate scene text reading.
To address the amplified challenges inherent in reading text from natural scenes.

Main Methods:

The system employs probabilistic methods for coarse binarization of text regions.
It identifies text baselines and jointly performs word and character segmentation during recognition.
Scene context is utilized to recognize multiple words within a text line collaboratively.

Main Results:

The developed system demonstrates state-of-the-art performance.
The system was evaluated on three challenging benchmark datasets for scene text reading.

Conclusions:

The integrated approach effectively handles the complexities of scene text.
The system offers a significant advancement in the field of scene text recognition.