• Spink, Amanda; Yang, Yin; Jansen, Jim; Nykanen, Pirrko; Lorence, Daniel P; Ozmutlu, Seda; Ozmutlu, H Cenk 2004-03-01 This paper reports findings from an analysis of medical or health queries to different web search engines. We report results: (i).

Comparing samples of 10000 web queries taken randomly from 1.2 million query logs from the AlltheWeb.com and Excite.com commercial web search engines in 2001 for medical or health queries, (ii). Comparing the 2001 findings from Excite and AlltheWeb.com users with results from a previous analysis of medical and health related queries from the Excite Web search engine for 1997 and 1999, and (iii). Medical or health advice-seeking queries beginning with the word 'should'. Findings suggest: (i). A small percentage of web queries are medical or health related, (ii). The top five categories of medical or health queries were: general health, weight issues, reproductive health and puberty, pregnancy/obstetrics, and human relationships, and (iii). Over time, the medical and health queries may have declined as a proportion of all web queries, as the use of specialized medical/health websites and e-commerce-related queries has increased.

Findings provide insights into medical and health-related web querying and suggests some implications for the use of the general web search engines when seeking medical/health information. • Choi, Youngok; Rasmussen, Edie M. 2003-01-01 Studied users' queries for visual information in American history to identify the image attributes important for retrieval and the characteristics of users' queries for digital images, based on queries from 38 faculty and graduate students. Results of pre- and post-test questionnaires and interviews suggest principle categories of search terms. • Choi, Youngok; Rasmussen, Edie M. 2003-01-01 Studied users' queries for visual information in American history to identify the image attributes important for retrieval and the characteristics of users' queries for digital images, based on queries from 38 faculty and graduate students. Results of pre- and post-test questionnaires and interviews suggest principle categories of search terms.

• Woo, Hyekyung; Cho, Youngtae; Shim, Eunyoung; Lee, Jong-Koo; Lee, Chang-Gun; Kim, Seong Hwan 2016-07-04 As suggested as early as in 2006, logs of queries submitted to search engines seeking information could be a source for detection of emerging influenza epidemics if changes in the volume of search queries are monitored (infodemiology). However, selecting queries that are most likely to be associated with influenza epidemics is a particular challenge when it comes to generating better predictions. In this study, we describe a methodological extension for detecting influenza outbreaks using search query data; we provide a new approach for query selection through the exploration of contextual information gleaned from social media data. Additionally, we evaluate whether it is possible to use these queries for monitoring and predicting influenza epidemics in South Korea. Our study was based on freely available weekly influenza incidence data and query data originating from the search engine on the Korean website Daum between April 3, 2011 and April 5, 2014.

To select queries related to influenza epidemics, several approaches were applied: (1) exploring influenza-related words in social media data, (2) identifying the chief concerns related to influenza, and (3) using Web query recommendations. Optimal feature selection by least absolute shrinkage and selection operator (Lasso) and support vector machine for regression (SVR) were used to construct a model predicting influenza epidemics. In total, 146 queries related to influenza were generated through our initial query selection approach. A considerable proportion of optimal features for final models were derived from queries with reference to the social media data.

The SVR model performed well: the prediction values were highly correlated with the recent observed influenza-like illness (r=.956; P. • 2012-01-01 Background Searching for structural motifs across known protein structures can be useful for identifying unrelated proteins with similar function and characterising secondary structures such as β-sheets. This is infeasible using conventional sequence alignment because linear protein sequences do not contain spatial information. Β-residue motifs are β-sheet substructures that can be represented as graphs and queried using existing graph indexing methods, however, these approaches are designed for general graphs that do not incorporate the inherent structural constraints of β-sheets and require computationally-expensive filtering and verification procedures. 3D substructure search methods, on the other hand, allow β-residue motifs to be queried in a three-dimensional context but at significant computational costs.

In a controlled user study, using paper-based prototypes, we compared searching with a Google interface with drawing new or modifying template diagrams. We evaluated consumer. 54,682 clinical summaries were displayed and 18,441 medical records were identified for further analysis. Seventeen percent of all.

Findings We developed a new method for querying β-residue motifs, called Beta Search, which leverages the natural planar constraints of β-sheets by indexing them as 2D matrices, thus avoiding much of the computational complexities involved with structural and graph querying. Beta Search exhibits faster filtering, verification, and overall query time than existing graph indexing approaches whilst producing comparable index sizes. Compared to 3D substructure search methods, Beta Search achieves 33 and 240 times speedups over index-based and pairwise alignment-based approaches, respectively. Furthermore, we have presented case-studies to demonstrate its capability of motif matching in sequentially dissimilar proteins and described a method for using Beta Search to predict β-strand pairing. Conclusions We have demonstrated that Beta Search is a fast method for querying substructure motifs. The improvements in speed over existing approaches make it useful for efficiently performing high-volume exploratory querying of possible protein substructural motifs or conformations.

Beta Search was used to identify a nearly identical β-residue motif between an entirely • Cohen, Laura B. 2005-01-01 An instruction program that covers search tools on the Web should incorporate a user's information need as the basis for teaching these tools. This article lays the theoretical groundwork for such a query-based approach, deriving its argument from the literature published in the early days of databases in libraries. A review of recent literature • Pearson, William R; Li, Weizhong; Lopez, Rodrigo 2016-12-06 Iterative similarity search programs, like psiblast, jackhmmer, and psisearch, are much more sensitive than pairwise similarity search methods like blast and ssearch because they build a position specific scoring model (a PSSM or HMM) that captures the pattern of sequence conservation characteristic to a protein family. But models are subject to contamination; once an unrelated sequence has been added to the model, homologs of the unrelated sequence will also produce high scores, and the model can diverge from the original protein family. Examination of alignment errors during psiblast PSSM contamination suggested a simple strategy for dramatically reducing PSSM contamination.

Being The Strong Man A Woman Wants Timeless Wisdom On Being A Man Pdf more. Psiblast PSSMs are built from the query-based multiple sequence alignment (MSA) implied by the pairwise alignments between the query model (PSSM, HMM) and the subject sequences in the library. When the original query sequence residues are inserted into gapped positions in the aligned subject sequence, the resulting PSSM rarely produces alignment over-extensions or alignments to unrelated sequences. This simple step, which tends to anchor the PSSM to the original query sequence and slightly increase target percent identity, can reduce the frequency of false-positive alignments more than 20-fold compared with psiblast and jackhmmer, with little loss in search sensitivity. • Ingram, David G; Matthews, Camilla K; Plante, David T 2015-03-01 The primary aim of the current study was to test the hypothesis that there is a seasonal component to snoring and obstructive sleep apnea (OSA) through the use of Google search engine query data.

Internet search engine query data were retrieved from Google Trends from January 2006 to December 2012. Monthly normalized search volume was obtained over that 7-year period in the USA and Australia for the following search terms: 'snoring' and 'sleep apnea'.

Seasonal effects were investigated by fitting cosinor regression models. In addition, the search terms 'snoring children' and 'sleep apnea children' were evaluated to examine seasonal effects in pediatric populations.

Statistically significant seasonal effects were found using cosinor analysis in both USA and Australia for 'snoring' (p. • Suzuki, Shuji; Kakuta, Masanori; Ishida, Takashi; Akiyama, Yutaka 2014-01-01 DNA sequences are translated into protein coding sequences and then further assigned to protein families in metagenomic analyses, because of the need for sensitivity. However, huge amounts of sequence data create the problem that even general homology search analyses using BLASTX become difficult in terms of computational cost.

We designed a new homology search algorithm that finds seed sequences based on the suffix arrays of a query and a database, and have implemented it as GHOSTX. GHOSTX achieved approximately 131-165 times acceleration over a BLASTX search at similar levels of sensitivity.

GHOSTX is distributed under the BSD 2-clause license and is available for download at Currently, sequencing technology continues to improve, and sequencers are increasingly producing larger and larger quantities of data. This explosion of sequence data makes computational analysis with contemporary tools more difficult.

We offer this tool as a potential solution to this problem. • Ayers, John W; Ribisl, Kurt; Brownstein, John S 2011-03-16 Smokers can use the web to continue or quit their habit. Online vendors sell reduced or tax-free cigarettes lowering smoking costs, while health advocates use the web to promote cessation. We examined how smokers' tax avoidance and smoking cessation Internet search queries were motivated by the United States' (US) 2009 State Children's Health Insurance Program (SCHIP) federal cigarette excise tax increase and two other state specific tax increases. Google keyword searches among residents in a taxed geography (US or US state) were compared to an untaxed geography (Canada) for two years around each tax increase.

Search data were normalized to a relative search volume (RSV) scale, where the highest search proportion was labeled 100 with lesser proportions scaled by how they relatively compared to the highest proportion. Changes in RSV were estimated by comparing means during and after the tax increase to means before the tax increase, across taxed and untaxed geographies. The SCHIP tax was associated with an 11.8% (95% confidence interval [95%CI], 5.7 to 17.9; p. • Kokkinaki, Alexandra; Chouvarda, Ioanna; Maglaveras, Nicos 2008-01-01 Electrocardiography serves as the gold standard for the noninvasive diagnosis of heart disease. Comparison and review between current and previous ECG recordings and clinical data may considerably leverage the physician's diagnostic accuracy. However, clinical data and ECGs are located in heterogeneous and disparate computer systems. On top of this, the plethora of different and mainly proprietary formats for ECG recording and storing, impedes the efforts towards aggregation of medical information.

In this paper we propose an approach towards the seamless integration of and access to disparate and heterogeneous sources of medical information, through a semantically enhanced platform called SCP-ECG Integrated Access (SEIA). SEIA provides the means to contextualize SCP-ECG biosignals, by semantically structuring the clinical information they contain. The semantic annotation procedure is enhanced with further processing of the biosignal, including waveform recognition and feature extraction, for automatic or semiautomatic insertion of annotations where missing. Diagnosis and evaluation of a patient's clinical condition is facilitated through integrated temporal comparison of the medical information derived from successive ECGs, in terms of their features and annotations, along with clinical data and measurements originating from the Electronic Medical Record (EMR). • 1976-02-01 FRED SCHNEIDER ci:- /l #1u * U’ LU SP.2.PEMBINA RIVER CULTURAL RESOURCES LITERATURE AND RECORDS SEARCH - a- by Fred Schneider Department of Anthropology and Archaeology University of North.area. The project was directed by Dr. Fred Schneider, Department of Anthropology and Archaeology, University of North Dakota.

The search • Chang, Wo 2006-08-01 Searching multimedia content for image, audio, and video is getting more attention especially for personal media content due to the affordability of consumer electronic devices such as MP3 recordable players, digital cameras, DV camcorders, and well-integrated smart phones. The precise search and retrieval of the content derived from these devices can be a very challenging task.

Many leading edge search engine vendors have been applying sophisticated and advanced indexing and retrieval techniques on various text-based document formats, but when it comes to retrieving multimedia content, searching based on the media clip filename is the most common practice. As a result, there is an imprecise and ineffective user experience for searching multimedia content. This paper presents a new development underway from a joint effort between International Organization for Standardization (ISO)/International Electrotechnial Commission (IEC) Subcommittee (SC) 29 Working Group (WG) 11 MPEG (Moving Picture Experts Group) and WG1 JPEG (Joint Picture Experts Group) for a universal standard query format called MPEG-7 Query Format (MP7QF) as a means to enable a good user experience for consumers searching multimedia content. It also provides the industry with a unified way to accept and respond to user queries. This paper presents the core requirements for such a universal query format. • Uznir, U.; Anton, F.; Suhaibah, A.; Rahman, A.

2013-09-01 The advantages of three dimensional (3D) city models can be seen in various applications including photogrammetry, urban and regional planning, computer games, etc. They expand the visualization and analysis capabilities of Geographic Information Systems on cities, and they can be developed using web standards.

However, these 3D city models consume much more storage compared to two dimensional (2D) spatial data. They involve extra geometrical and topological information together with semantic data. Without a proper spatial data clustering method and its corresponding spatial data access method, retrieving portions of and especially searching these 3D city models, will not be done optimally.

Even though current developments are based on an open data model allotted by the Open Geospatial Consortium (OGC) called CityGML, its XML-based structure makes it challenging to cluster the 3D urban objects. In this research, we propose an opponent data constellation technique of space-filling curves (3D Hilbert curves) for 3D city model data representation. Unlike previous methods, that try to project 3D or n-dimensional data down to 2D or 3D using Principal Component Analysis (PCA) or Hilbert mappings, in this research, we extend the Hilbert space-filling curve to one higher dimension for 3D city model data implementations. Piano Magic Discography Download here. The query performance was tested using a CityGML dataset of 1,000 building blocks and the results are presented in this paper. The advantages of implementing space-filling curves in 3D city modeling will improve data retrieval time by means of optimized 3D adjacency, nearest neighbor information and 3D indexing. The Hilbert mapping, which maps a subinterval of the [0, 1] interval to the corresponding portion of the d-dimensional Hilbert's curve, preserves the Lebesgue measure and is Lipschitz continuous. Depending on the applications, several alternatives are possible in order to cluster spatial data together in the third dimension compared to its • Du, Zhicheng; Xu, Lin; Zhang, Wangjian; Zhang, Dingmei; Yu, Shicheng; Hao, Yuantao 2017-10-06 Hand, foot, and mouth disease (HFMD) has caused a substantial burden in China, especially in Guangdong Province.

Based on the enhanced surveillance system, we aimed to explore whether the addition of temperate and search engine query data improves the risk prediction of HFMD. Ecological study. Information on the confirmed cases of HFMD, climate parameters and search engine query logs was collected. A total of 1.36 million HFMD cases were identified from the surveillance system during 2011-2014. Analyses were conducted at aggregate level and no confidential information was involved. A seasonal autoregressive integrated moving average (ARIMA) model with external variables (ARIMAX) was used to predict the HFMD incidence from 2011 to 2014, taking into account temperature and search engine query data (Baidu Index, BDI). Statistics of goodness-of-fit and precision of prediction were used to compare models (1) based on surveillance data only, and with the addition of (2) temperature, (3) BDI, and (4) both temperature and BDI.

A high correlation between HFMD incidence and BDI (r=0.794, p.