Multi-Modal Search for Inspirational Examples in Design

2021 ◽  
Author(s):  
Elisa Kwon ◽  
Forrest Huang ◽  
Kosa Goucher-Lambert
Keyword(s):  
3D Model ◽  
Search Behavior ◽  
Search Space ◽  
Exploratory Search ◽  
Prior Work ◽  
Search Results ◽  
Related Information ◽  
Additional Control ◽  
Design Challenge ◽  
And Function

Abstract Inspirational stimuli are known to be effective in supporting ideation during the design process. However, minimal prior work has allowed individuals to search using multiple modes of input simultaneously, which is more representative of real design behavior. In the current work, we developed a multi-modal search platform that retrieves 3D model parts based on text, appearance, and function-based search inputs. This work presents the results of an experimental study (n = 21) in which the search platform was used to find parts identified as potentially useful for inspiring solutions to a design challenge. Participants were asked to engage with three different search modalities: search by keywords, by curated 3D parts, and by user-assembled 3D parts in their workspace. When searching by parts that are curated or in their workspace, additional control over the similarity of appearance and function of results in reference to the input was available to participants. The results of this study demonstrate that the modality used affects search behavior, such as in the frequency of searches, how participants engage with retrieved search results, and how broadly the search space is covered. Specific results link interactions with the interface to search strategies participants may have used during the task. Findings suggest that multi-modal search should enable intentional search for desired goals through direct search inputs (e.g., by keyword) and incremental adjustments to features of visually represented search inputs. Moreover, enabling discovery of inexplicitly searched for examples through related information or more randomly encountered examples may assist exploratory search behavior.

scholarly journals A Survey on Blockchain-Based Search Engines

2021 ◽  
Vol 11 (15) ◽  
pp. 7063
Author(s):  
Esmaeel Rezaee ◽  
Ali Mohammad Saghiri ◽  
Agostino Forestiero
Keyword(s):  
Search Engines ◽  
Research Field ◽  
The Internet ◽  
Context Aware ◽  
Search System ◽  
Search Results ◽  
Related Information ◽  
Research Article ◽  
Different Types ◽  
Search History

With the increasing growth of different types of data, search engines have become an essential tool on the Internet. Every day, billions of queries are run through few search engines with several privacy violations and monopoly problems. The blockchain, as a trending technology applied in various fields, including banking, IoT, education, etc., can be a beneficial alternative. Blockchain-based search engines, unlike monopolistic ones, do not have centralized controls. With a blockchain-based search system, no company can lay claims to user’s data or access search history and other related information. All these data will be encrypted and stored on a blockchain. Valuing users’ searches and paying them in return is another advantage of a blockchain-based search engine. Additionally, in smart environments, as a trending research field, blockchain-based search engines can provide context-aware and privacy-preserved search results. According to our research, few efforts have been made to develop blockchain use, which include studies generally in the early stages and few white papers. To the best of our knowledge, no research article has been published in this regard thus far. In this paper, a survey on blockchain-based search engines is provided. Additionally, we state that the blockchain is an essential paradigm for the search ecosystem by describing the advantages.

Enriching Textual Search Results at Query Time Using Entity Mining, Linked Data and Link Analysis

2014 ◽  
Vol 08 (04) ◽  
pp. 515-544 ◽  
Author(s):  
Pavlos Fafalios ◽  
Panagiotis Papadakos ◽  
Yannis Tzitzikas
Keyword(s):  
Semantic Information ◽  
A Priori ◽  
Open Data ◽  
Search Space ◽  
Link Analysis ◽  
Query Time ◽  
Search Results ◽  
Ranking Scheme ◽  
Web Of Data ◽  
Comparative Results

The integration of the classical Web (of documents) with the emerging Web of Data is a challenging vision. In this paper we focus on an integration approach during searching which aims at enriching the responses of non-semantic search systems with semantic information, i.e. Linked Open Data (LOD), and exploiting the outcome for offering advanced exploratory search services which provide an overview of the search space and allow the users to explore the related LOD. We use named entities identified in the search results for automatically connecting search hits with LOD and we consider a scenario where this entity-based integration is performed at query time with no human effort and no a-priori indexing which is beneficial in terms of configurability and freshness. However, the number of identified entities can be high and the same is true for the semantic information about these entities that can be fetched from the available LOD. To this end, in this paper we propose a Link Analysis-based method which is used for ranking (and thus selecting to show) the more important semantic information related to the search results. We report the results of a survey regarding the marine domain with promising results, and comparative results that illustrate the effectiveness of the proposed (PageRank-based) ranking scheme. Finally, we report experimental results regarding efficiency showing that the proposed functionality can be offered even at query time.

scholarly journals A Multi-platform Approach to Monitoring Negative Dominance for COVID-19 Vaccine-Related Information Online

2021 ◽  
pp. 1-24
Author(s):  
Paola Pascual-Ferrá ◽  
Neil Alperstein ◽  
Daniel J. Barnett
Keyword(s):  
Social Media ◽  
Adverse Events ◽  
News Media ◽  
Search Behavior ◽  
Social Media Data ◽  
Future Studies ◽  
Related Information ◽  
Youtube Videos ◽  
Negative Dominance ◽  
Media Data

Abstract Objective The aim of this study was to test the appearance of negative dominance in COVID-19 vaccine-related information and activity online. We hypothesized that if negative dominance appeared, it would be a reflection of peaks in adverse events related to the vaccine, that negative content would attract more engagement on social media than other vaccine-related posts, and posts referencing adverse events related to COVID-19 vaccination would have a higher average toxicity score. Methods We collected data using Google Trends for search behavior, CrowdTangle for social media data, and Media Cloud for media stories, and compared them against the dates of key adverse events related to COVID-19. We used Communalytic to analyze the toxicity of social media posts by platform and topic. Results While our first hypothesis was partially supported, with peaks in search behavior for image and YouTube videos driven by adverse events, we did not find negative dominance in other types of searches or patterns of attention by news media or on social media. Conclusion We did not find evidence in our data to prove the negative dominance of adverse events related to COVID-19 vaccination on social media. Future studies should corroborate these findings and, if consistent, focus on explaining why this may be the case.

Function of the Anuran Conus Arteriosus

1974 ◽  
Vol 61 (2) ◽  
pp. 503-520
Author(s):  
R. W. MORRIS
Keyword(s):  
Direct Observation ◽  
Pressure Pulse ◽  
Beat Frequency ◽  
Structure And Function ◽  
Important Measure ◽  
Additional Control ◽  
And Function ◽  
Blood Volumes

1. The anuran conus arteriosus was studied by direct observation of its structure and function and by observing the effects of artificially induced contraction on the pressure pulse in the arterial arches. 2. The beat of the anuran conus was found to close the outlet to the pulmocutaneous arches. The timing of the beat of the conus in the ventricular cycle is variable; early in the cycle the conus admits less blood to the pulmocutaneous circuit, more blood being admitted when it beats late. 3. The timing of the beat of the conus appears to be adaptively related to beat frequency and to pH of the system. Elementary calculations suggest that these characteristics constitute an important measure of survival value of the anuran conus. 4. The findings of this work are compatible with the theory of selective passage of two streams through the heart, supplementing such passage with additional control of blood volumes entering the pulmocutaneous circuit.

Classify the Search Result Based on IBM OminiFind Edition and UIMA

2013 ◽  
Vol 834-836 ◽  
pp. 1807-1811
Author(s):  
Jian Xia Du ◽  
Xiao Dong Sun ◽  
Zeng Min Geng
Keyword(s):  
Information Management ◽  
Search Space ◽  
Semantic Search ◽  
Client Application ◽  
Search Result ◽  
Unstructured Information Management Architecture ◽  
Management Architecture ◽  
And Function ◽  
Unstructured Information ◽  
Semantic Search Engine

A method is proposed which uses the IBM OmniFind Enterprise Edition combined with IBM open source of unstructured information management architecture of Unstructured Information Management Architecture (UIMA), to realize the IBM OmniFind Enterprise Edition semantic search engine search and result classification. This method makes the search space and function more widely, which can not only meet the higher demand of the part of the user, but also increase the competitiveness of the client application.

The functions ofpannierduringDrosophilaembryogenesis

Development ◽  
2001 ◽  
Vol 128 (23) ◽  
pp. 4837-4846 ◽  
Author(s):  
Hector Herranz ◽  
Ginés Morata
Keyword(s):  
Transcription Factor ◽  
Zinc Finger ◽  
Morphological Diversity ◽  
The Body ◽  
Prior Work ◽  
Jnk Pathway ◽  
Zinc Finger Transcription Factor ◽  
Upstream Regulator ◽  
And Function ◽  
Gata Family

The pannier (pnr) gene of Drosophila encodes a zinc-finger transcription factor of the GATA family and is involved in several developmental processes during embryonic and imaginal development. We report some novel aspects of the regulation and function of pnr during embryogenesis. Previous work has shown that pnr is activated by decapentaplegic (dpp) in early development, but we find that after stage 10, the roles are reversed and pnr becomes an upstream regulator of dpp. This function of pnr is necessary for the activation of the Dpp pathway in the epidermal cells implicated in dorsal closure and is not mediated by the JNK pathway, which is also necessary for Dpp activity in these cells. In addition, we show that pnr behaves as a selector-like gene in generating morphological diversity in the dorsoventral body axis. It is responsible for maintaining a subdivision of the dorsal half of the embryo into two distinct, dorsomedial and dorsolateral, regions, and also specifies the identity of the dorsomedial region. These results, together with prior work on its function in adults, suggest that pnr is a major factor in the genetic subdivision of the body of Drosophila.

scholarly journals HPV Vaccine Searches on Pinterest: Before and After Pinterest’s Actions to Moderate Content

2020 ◽  
Vol 110 (S3) ◽  
pp. S305-S311
Author(s):  
Jeanine P. D. Guidry ◽  
Emily K. Vraga ◽  
Linnea I. Laestadius ◽  
Carrie A. Miller ◽  
Aurora Occa ◽  
...  
Keyword(s):  
Hpv Vaccine ◽  
Hpv Vaccination ◽  
Health Belief ◽  
Significant Shift ◽  
Search Results ◽  
Related Information ◽  
Before And After ◽  
Health Related ◽  
Belief Model ◽  
The Health Belief Model

Objectives. To compare how human papillomavirus (HPV) vaccination was portrayed on Pinterest before and after the platform acted to moderate vaccine-related search results to understand (1) what the information environment looked like previously and (2) whether Pinterest’s policy decisions improved this environment in terms of sources and content. Methods. In this quantitative content analysis, we compared 2 samples of 500 HPV vaccine–focused Pinterest posts (“pins”) collected before and after Pinterest’s actions to provide more reliable vaccine-related information. Pins were based on search results and were analyzed using the Health Belief Model. Results. The majority of preaction search results leaned toward vaccine skepticism, specifically focused on perceived vaccine barriers. Few pins were published by public health–related Pinterest accounts. Postaction search results showed a significant shift to HPV vaccination benefits, and the number of pins by government or medical accounts increased. However, the proportion of pins in search results containing HPV content of any type was significantly lower. Conclusions. Pinterest’s efforts to moderate vaccination discussions were largely successful. However, the ban also appeared to limit HPV vaccination search results overall, which may contribute to confusion or an information vacuum.

Indian Judgment Categorization for Practicing Similar Judgment Identification

2021 ◽  
pp. 232-241
Author(s):  
Jenish Dhanani ◽  
Rupa G. Mehta ◽  
Dipti P. Rana ◽  
Rahul Lad ◽  
Amogh Agrawal ◽  
...  
Keyword(s):  
Search Space ◽  
Automated System ◽  
Court Case ◽  
Criminal Cases ◽  
Legal Information ◽  
Law System ◽  
Legal Professionals ◽  
Related Information ◽  
Legal Document ◽  
Legal Domain

Recently, legal information retrieval has emerged as an essential practice for the legal fraternity. In the legal domain, judgment is a specific kind of legal document, which discusses case-related information and the verdict of a court case. In the common law system, the legal professionals exploit relevant judgments to prepare arguments. Hence, an automated system is a vital demand to identify similar judgments effectively. The judgments can be broadly categorized into civil and criminal cases, where judgments with similar case matters can have strong relevance compared to judgments with different case matters. In similar judgment identification, categorized judgments can significantly prune search space by restrictive search within a specific case category. So, this chapter provides a novel methodology that classifies Indian judgments in either of the case matter. Crucial challenges like imbalance and intrinsic characteristics of legal data are also highlighted specific to similarity analysis of Indian judgments, which can be a motivating aspect to the research community.

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