Results 71 to 80 of about 274,007 (336)

An investigation of biases in web search engine query suggestions [PDF]

open access: yesOnline Information Review, 2019
Purpose Survey-based studies suggest that search engines are trusted more than social media or even traditional news, although cases of false information or defamation are known. The purpose of this paper is to analyze query suggestion features of three search engines to see if these features introduce some bias into the query and search process that ...
Malte Bonart   +3 more
openaire   +4 more sources

Preferences for post‐traumatic osteoarthritis prevention strategies in individuals with anterior cruciate ligament injury

open access: yesArthritis Care &Research, Accepted Article.
Objectives There is growing interest in evaluating new strategies to delay or prevent post‐traumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury.
Kevin Kennedy   +9 more
wiley   +1 more source

An analysis of Web image queries for search [PDF]

open access: yesProceedings of the American Society for Information Science and Technology, 2003
AbstractThis study examines the differences between Web image and textual queries, and attempts to develop an analytic model to investigate their implications for Web image retrieval systems. A large number of Web queries from image and textual search engines were analyzed and compared based on their factual characteristics, query types, and search ...
openaire   +2 more sources

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

open access: yesAdvanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida   +16 more
wiley   +1 more source

Research of Skyline Query Method for Hidden Web Database

open access: yesJisuanji kexue yu tansuo, 2020
Skyline discovery from a hidden Web database can enable a wide variety of innovative applications in Web information integration area. Although there are many limitations such as the finite number of Web accesses one can issue through per-IP-address, no ...
LI Zhengyu, LI Gui, CAO Keyan
doaj   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

The Algorithm for Refining a Framework of Scientific and Technological Field in Bibliometric Databases on the Example of Synchrotron, Neutron Research and Development

open access: yesEkonomika Nauki, 2022
To assess the publication effectiveness of the Federal Scientific and Technical Program for the Development of Synchrotron and Neutron Research and Research Infrastructure for 2019–2027 (Program), its developers proposed the special search query in Web ...
I. N. Chernova, O. V. Cherchenko
doaj   +1 more source

Harvesting all matching information to a given query from a deep website [PDF]

open access: yes, 2015
In this paper, the goal is harvesting all documents matching a given (entity) query from a deep web source. The objective is to retrieve all information about for instance "Denzel Washington", "Iran Nuclear Deal", or "FC Barcelona" from data hidden ...
Hiemstra, Djoerd   +2 more
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Information extraction from template-generated hidden web documents [PDF]

open access: yes, 2004
The larger amount of information on the Web is stored in document databases and is not indexed by general-purpose search engines (such as Google and Yahoo).
Hedley, Y.   +3 more
core  

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