Search results for "search engine"
showing 10 items of 121 documents
On the Use of XML in Medical Imaging Web-Based Applications
2016
The rapid growth of digital technology in medical fields over recent years has increased the need for applications able to manage patient medical records, imaging data, and chart information. Web-based applications are implemented with the purpose to link digital databases, storage and transmission protocols, management of large volumes of data and security concepts, allowing the possibility to read, analyze, and even diagnose remotely from the medical center where the information was acquired. The objective of this paper is to analyze the use of the Extensible Markup Language (XML) language in web-based applications that aid in diagnosis or treatment of patients, considering how this proto…
U-search: a meta engine for creation of knowledge paths on the web
2010
The main tools used to find digital contents in the Web are search engines and directories but they are not presently able to understand the user specific needs and starting knowledge. This work presents "U-Search" a new meta engine that allows to create knowledge paths on the Web based on specific user requirements and knowledge levels. To this end, we consider different searcher categories such as a "basic searcher" who knows little about a topic and will look for more information, a "deep searcher" who will look for specific details on a topic that he/she already knows and a "wide searcher" who will look for expanding his/her knowledge domain with topics that are loosely related to the s…
When in doubt, Google it: distress-related information seeking in Italy during the COVID-19 pandemic
2021
Abstract Background Psychological health has been one of the aspects affected by the recent COVID-19 pandemic. We aim to evaluate the patterns of Google search for mental distress symptoms of Italian citizens during the various phases of the COVID-19 pandemic. Methods We assessed Google searches for psychological-health related words. We gathered and analyzed data on daily search queries on depression, anxiety, and insomnia from Google Trends, in a time ranging from the Pre-COVID phase (beginning 25th January 2020) up to the second wave phase (ending 17th October 2020). We performed three general linear models on search trends of the three words and tested whether and to what extent officia…
Disability assessment using Google Maps.
2021
Objectives To evaluate the concordance between Google Maps® application (GM®) and clinical practice measurements of ambulatory function (e.g., Ambulation Score (AS) and respective Expanded Disability Status Scale (EDSS)) in people with multiple sclerosis (pwMS). Materials and methods This is a cross-sectional multicenter study. AS and EDSS were calculated using GM® and routine clinical methods; the correspondence between the two methods was assessed. A multinomial logistic model is investigated which demographic (age, sex) and clinical features (e.g., disease subtype, fatigue, depression) might have influenced discrepancies between the two methods. Results Two hundred forty-three pwMS were …
Patient-centered web-based information on oral lichen planus : quality and readability
2019
Background To assess the readability and quality of web-based information available for patients about oral lichen planus (OLP). Material and Methods Three major search engines (Google, Bing and Yahoo!) were used to identify websites of particular interest to the study using the search term ‘oral lichen planus’. The first 100 sites of each search engine were considered for the study. The quality of the contents was evaluated using the DISCERN instrument. The Flesch-Kinkaid Reading Grade Level (FKRGL) and the Flesh Reading Ease Score (FRES) were used to assess readability. The presence of the Health on the Net (HON) seal was also evaluated. Results Following the application of the study’s ex…
Perfect Hashing Structures for Parallel Similarity Searches
2015
International audience; Seed-based heuristics have proved to be efficient for studying similarity between genetic databases with billions of base pairs. This paper focuses on algorithms and data structures for the filtering phase in seed-based heuristics, with an emphasis on efficient parallel GPU/manycores implementa- tion. We propose a 2-stage index structure which is based on neighborhood indexing and perfect hashing techniques. This structure performs a filtering phase over the neighborhood regions around the seeds in constant time and avoid as much as possible random memory accesses and branch divergences. Moreover, it fits particularly well on parallel SIMD processors, because it requ…
Production and Characterization of Medium-Sized and Short Antioxidant Peptides from Soy Flour-Simulated Gastrointestinal Hydrolysate.
2021
Soybeans (Glycine max) are an excellent source of dietary proteins and peptides with potential biological activities, such as antihypertensive, anti-cholesterol, and antioxidant activity
On Prefix Normal Words
2011
We present a new class of binary words: the prefix normal words. They are defined by the property that for any given length $k$, no factor of length $k$ has more $a$'s than the prefix of the same length. These words arise in the context of indexing for jumbled pattern matching (a.k.a. permutation matching or Parikh vector matching), where the aim is to decide whether a string has a factor with a given multiplicity of characters, i.e., with a given Parikh vector. Using prefix normal words, we give the first non-trivial characterization of binary words having the same set of Parikh vectors of factors. We prove that the language of prefix normal words is not context-free and is strictly contai…
Yksityisyys ja luottamus hakukoneiden käytössä
2016
Tämä tutkimus käsittelee yksityisyyden ja luottamuksen merkitystä hakukoneissa. Tämä on tärkeää, sillä hakukoneista on muodostunut ihmisten pääsääntöinen tiedon lähde. Näin ollen hakukoneiden yleistyminen on johtanut siihen, että käyttäjistä kerätään yhä enemmän henkilökohtaisia tietoja. Tämän ansiosta käyttäjille on noussut hakukoneista paljon yksityisyyshuolia ja sitä kautta myös luottamus voi rikkoutua. Tämä tutkimus on toteutettu kirjallisuuskatsauksena ja pyrkii vastaamaan tutkimuskysymykseen: mitä käyttäjän yksityisyys ja luottamus tarkoittavat hakukoneiden käytön yhteydessä? Tutkimuksen tulosten mukaan käyttäjien tietoisuuden parantamisella voidaan vaikuttaa sekä kokemukseen yksityis…
A New Development in Online Marketing: Introducing Digital Inbound Marketing
2015
This paper addresses the conceptualization, scale development and scale validation related to the study of consumer engagement in online settings. It first reviews this concept and draws attention to the multidimensionality of the construct, considering the underlying cognitive, emotional, and behavioral dimensions of consumer engagement. Then, it presents the foundation of this concept in relationship marketing and adds support to this proposition. Further, it proposes the construction and psychometric assessment of a 37 scales that examine all three dimensions, based on an international sample of 110 respondents who engage with a brand on a social media network. Based on multiple and succ…