Results 101 to 110 of about 1,139,776 (289)

Enhanced discovery of bacterial laccase‐like multicopper oxidase through computer simulation and metagenomic analysis of industrial wastewater

FEBS Open Bio, EarlyView.
We obtained potential bacterial laccase‐like multicopper oxidase (LMCO) sequences through metagenomic sequencing. All sequences exhibited significant differences from known LMCOs in databases. To select the most promising candidates, we performed structure prediction and molecular docking using alphafold2, metal3d and rosetta.
Ting Cui, Ariel Kushmaro, Hana Barak, Anja Poehlein, Rolf Daniel, Hans‐Jürgen Mägert   +5 more
wiley   +1 more source

FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning [PDF]

arXiv
Interpreting the observations of exoplanet atmospheres to constrain physical and chemical properties is typically done using Bayesian retrieval techniques. Because these methods require many model computations, a compromise is made between model complexity and run time.
arxiv  

Computer Self-Efficacy, Computer Anxiety and Information Retrieval Skills as Correlate of Electronic Library Use among LIS Undergraduates in Southern Nigeria Universities. [PDF]

The study examined computer self-efficacy, computer anxiety and information retrieval skills as correlate of electronic library use among library and information science undergraduates in universities in Southern Nigeria. One research question guided the
Akpojotor, Lucky O
core   +1 more source

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

A perceptual hash function to store and retrieve large scale DNA sequences [PDF]

arXiv, 2014
This paper proposes a novel approach for storing and retrieving massive DNA sequences.. The method is based on a perceptual hash function, commonly used to determine the similarity between digital images, that we adapted for DNA sequences. Perceptual hash function presented here is based on a Discrete Cosine Transform Sign Only (DCT-SO).
arxiv  

Time to Redefine Database [PDF]

, 2001
IT USED TO BE EASY to define a database. It was a continuously updated computer file of related information, abstracts, or references on a particular subject, arranged for ease and speed of search and retrieval (ODLIS: Online Dictionary of Library and ...
Tenopir, Carol
core   +1 more source

Competence identification in computer science teaching materials : a quantitative approach based on information retrieval

, 2020
The development and preparation of teaching and learning materials are the daily chores of Computer Science (CS) teachers. The last few years have seen an increased interest in the development of valuable and competence oriented teaching. Possible Computer Science lesson contents and educational concepts have been widely studied.
openaire   +1 more source

Comprehensive clinical evaluation of novel 4DCT‐based lung function imaging methods

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Methods have been developed that apply image processing to 4DCTs to generate 4DCT‐ventilation/perfusion lung imaging. Traditional methods for 4DCT‐ventilation rely on Hounsfield‐Unit (HU) density‐change methods and suffer from poor numerical robustness while not providing 4DCT‐perfusion data.
Ehsan Golkar, Taindra Neupane, Lydia Wilson, Jennifer Kwak, Richard Castillo, Edward Castillo, Yevgeniy Vinogradskiy   +6 more
wiley   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

Feature Weighting for Improving Document Image Retrieval System Performance [PDF]

International Journal of Computer Science Issues, Vol 9, Issue 3, No 3 (2012) 125-130, 2012
Feature weighting is a technique used to approximate the optimal degree of influence of individual features. This paper presents a feature weighting method for Document Image Retrieval System (DIRS) based on keyword spotting. In this method, we weight the feature using coefficient of multiple correlations.
arxiv