Results 61 to 70 of about 15,464,746 (377)

A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective [PDF]

open access: yesIEEE Transactions on Knowledge and Data Engineering, 2018
Data collection is a major bottleneck in machine learning and an active research topic in multiple communities. There are largely two reasons data collection has recently become a critical issue.
Yuji Roh, Geon Heo, Steven Euijong Whang
semanticscholar   +1 more source

Mechanisms and kinetic assays of aminoacyl‐tRNA synthetases

open access: yesFEBS Letters, EarlyView.
Accurate protein synthesis is crucial for life. The key players are aminoacyl‐tRNA synthetases (AARSs), which read the genetic code by pairing cognate amino acids and tRNAs. AARSs establish high amino acid selectivity by employing physicochemical limits in molecular recognition.
Igor Zivkovic   +2 more
wiley   +1 more source

Analyzing the G3BP-like gene family of Arabidopsis thaliana in early turnip mosaic virus infection

open access: yesScientific Reports, 2021
The Arabidopsis thaliana genome encodes several genes that are known or predicted to participate in the formation of stress granules (SG). One family of genes encodes for Ras GTPase-activating protein–binding protein (G3BP)-like proteins.
Hendrik Reuper   +2 more
doaj   +1 more source

The Reuters collection [PDF]

open access: yes, 1994
This short paper presents the little known Reuters 22,173 test collection, which is significantly larger than most traditional test collections. In addition, Reuters has none of the recall calculation problems normally associated with some of the ...
Sanderson, M.
core  

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

open access: yesFEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu   +17 more
wiley   +1 more source

Collection Project Completed [PDF]

open access: yes, 2014
I hope everyone had an awesome Spring Break and is enjoying the short burst of nice weather! It’s been a long time since my last post because I have been working on a month-long project, and I wanted to wait until it was complete to give the whole scoop.
Schweizer, Alexander K.
core   +1 more source

Web Acquisitions & Collection Development

open access: yes, 2000
This article and webography is based Oil a workshop of the same title presented at the /999 ACL Annual Conference. It discusses the growing number of resources on the World Wide Web that may be useful for doing acquisitions and collection development. It
Shook, Gary
core   +1 more source

CoordinateCleaner: Standardized cleaning of occurrence records from biological collection databases

open access: yesMethods in Ecology and Evolution, 2019
Species occurrence records from online databases are an indispensable resource in ecological, biogeographical and palaeontological research. However, issues with data quality, especially incorrect geo‐referencing or dating, can diminish their usefulness.
Alexander Zizka   +13 more
semanticscholar   +1 more source

Collective Collection Building and DDA

open access: yesToo Much Is Not Enough!, 2014
Many librarians have advocated for the use of demand-driven acquisition (DDA) as an important money-saving approach in a time of reduced resources that target acquisitions we know will be used. In addition to saving money, the introduction of e-DDA presents an opportunity for a consortium to achieve three collection development objectives: continue to ...
Scott, Kerry   +2 more
openaire   +5 more sources

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

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