scholarly journals High-Performance Annotation Tagging over Solr Full-text Indexes

2014 ◽  
Vol 33 (3) ◽  
pp. 22 ◽  
Author(s):  
Paolo Manghi ◽  
Michele Artini ◽  
Alessia Bardi ◽  
Claudio Atzori ◽  
Sandro La Bruzzo ◽  
...  
Keyword(s):  
Real Time ◽  
Full Text ◽  
Functional Annotation ◽  
High Performance ◽  
End Users ◽  
Font Size ◽  
End User ◽  
Temporary Work ◽  
Large Sets ◽  
Object Properties

<p class="p1">In this work, we focus on the problem of “annotation tagging” over Information <span style="font-size: 10px;">Spaces of objects stored in a full-text index. In such a scenario, tags are </span><span style="font-size: 10px;">assigned to objects by “data curator” users with the purpose of classification, while </span><span style="font-size: 10px;">generic end-users will perceive tags as searchable and browsable object properties. </span><span style="font-size: 10px;">To carry out their activities, data curators need “annotation tagging tools” which </span><span style="font-size: 10px;">allow them to “bulk” tag or untag large sets of objects in temporary work sessions, </span><span style="font-size: 10px;">where they can “virtually” and in “real-time” experiment the effect of their actions </span><span style="font-size: 10px;">before making the changes visible to end-users. The implementation of these tools </span><span style="font-size: 10px;">over full-text indexes is a challenge, since bulk object updates in this context are </span><span style="font-size: 10px;">far from being real-time and in critical cases may slow down index performance. </span><span style="font-size: 10px;">We devised TagTick, a tool which offers to data curators a fully functional annotation </span><span style="font-size: 10px;">tagging environment over the full-text index Apache Solr, regarded as a </span><span style="font-size: 10px;">“de-facto standard” in this area. TagTick consists of a TagTick Virtualizer module, </span><span style="font-size: 10px;">which extends the APIs of Solr to support real-time, virtual, bulk-tagging operations, </span><span style="font-size: 10px;">and a TagTick User Interface module, which offers end-user functionalities </span><span style="font-size: 10px;">for annotation tagging. The tool scales optimally with the number and size of bulk </span><span style="font-size: 10px;">tag operations, without compromising index performance.</span></p>

Dashboards in Healthcare Settings: A Scoping Review Protocol (Preprint)

2021 ◽  
Author(s):  
Danielle Helminski ◽  
Jacob E. Kurlander ◽  
Anjana Deep Renji ◽  
Jeremy B. Sussman ◽  
Paul N. Pfeiffer ◽  
...  
Keyword(s):  
Organizational Performance ◽  
Scoping Review ◽  
Full Text ◽  
End Users ◽  
Healthcare Sector ◽  
Cochrane Library ◽  
Routine Practice ◽  
End User ◽  
Healthcare Organizations ◽  
Healthcare Settings

BACKGROUND Healthcare organizations increasingly depend on business intelligence tools, including “dashboards,” to capture, analyze, and present data on performance metrics. Ideally, dashboards allow users to quickly visualize actionable data to inform and optimize clinical and organizational performance. In reality, dashboards are typically embedded in complex healthcare organizations, with massive data streams, and end users with distinct needs. Thus, designing effective dashboards is a challenging task. Yet, theoretical underpinnings of healthcare dashboards are poorly characterized; even the concept of the dashboard remains ill-defined. Researchers, informaticists, clinical managers, and healthcare administrators will benefit from a clearer understanding of how dashboards have been developed, implemented, and evaluated, and how the design, end-user, and context influence their uptake and effectiveness. OBJECTIVE This scoping review first aims to survey the vast published literature of “dashboards” to describe where, why, and for whom they are used in healthcare settings, as well as how they are developed, implemented, and evaluated. Further, we will examine how dashboard design and content is informed by intended purpose and end-users. METHODS In July 2020, we searched Medline, EMBASE, Web of Science, and the Cochrane Library for peer-reviewed literature using a targeted strategy developed with a research librarian and retrieved 5,188 results. Following deduplication, 3,306 studies were screened in duplicate for title and abstract. Any abstracts mentioning a healthcare dashboard were retrieved in full-text and are undergoing duplicate review for eligibility. Articles will be included for data extraction and analysis if they describe the development, implementation, or evaluation of a dashboard that was successfully used in routine workflow. Articles will be excluded if they were published before 2015, unavailable in full-text, in a non-English language, or describe dashboards used for public health tracking, in settings where direct patient care is not provided, or in undergraduate medical education. Any discrepancies in eligibility determination will be adjudicated by a third reviewer. We chose to focus on articles published after 2015 and those that describe dashboards that were successfully used in routine practice to identify the most recent and relevant literature to support future dashboard development in the rapidly evolving field of healthcare informatics. RESULTS All articles have undergone dual review for title and abstract, with 2,019 articles mentioning use of a healthcare dashboard retrieved in full-text for further review. We are currently reviewing all full-text articles in duplicate. We aim to publish findings by summer of 2022. Findings will be reported following guidance from the PRISMA-ScR checklist. CONCLUSIONS This scoping review will provide stakeholders with an overview of existing dashboard tools, highlighting the ways in which dashboards have been developed, implemented, and evaluated in different settings and end-user groups, and identify potential research gaps. Findings will guide efforts to design and utilize dashboards in the healthcare sector more effectively.

scholarly journals UTOPIA—User-Friendly Tools for Operating Informatics Applications

2004 ◽  
Vol 5 (1) ◽  
pp. 56-60 ◽  
Author(s):  
S. R. Pettifer ◽  
J. R. Sinnott ◽  
T. K. Attwood
Keyword(s):  
Real Time ◽  
User Interfaces ◽  
High Performance ◽  
Ad Hoc ◽  
Point Of View ◽  
Cognitive Capacity ◽  
End User ◽  
Time Interaction ◽  
Data Files ◽  
Visualization Systems

Bioinformaticians routinely analyse vast amounts of information held both in large remote databases and in flat data files hosted on local machines. The contemporary toolkit available for this purpose consists of anad hoccollection of data manipulation tools, scripting languages and visualization systems; these must often be combined in complex and bespoke ways, the result frequently being an unwieldy artefact capable of one specific task, which cannot easily be exploited or extended by other practitioners. Owing to the sizes of current databases and the scale of the analyses necessary, routine bioinformatics tasks are often automated, but many still require the unique experience and intuition of human researchers: this requires tools that support real-time interaction with complex datasets. Many existing tools have poor user interfaces and limited real-time performance when applied to realistically large datasets; much of the user's cognitive capacity is therefore focused on controlling the tool rather than on performing the research. The UTOPIA project is addressing some of these issues by building reusable software components that can be combined to make useful applications in the field of bioinformatics. Expertise in the fields of human computer interaction, high-performance rendering, and distributed systems is being guided by bioinformaticians and end-user biologists to create a toolkit that is both architecturally sound from a computing point of view, and directly addresses end-user and application-developer requirements.

scholarly journals Using Satisfaction Ratings to Minimize Risk

2016 ◽  
Vol 8 (2) ◽  
pp. 92
Author(s):  
Dhaval Gajjar ◽  
Dean Kashiwagi ◽  
Kenneth Sullivan ◽  
Jacob Kashiwagi
Keyword(s):  
Customer Satisfaction ◽  
Construction Industry ◽  
High Performance ◽  
End Users ◽  
End User ◽  
Actual Performance ◽  
High Performing ◽  
A Performance ◽  
Risky Projects

Warranties in the construction industry have become more prevalent in the last couple of decades. Moreover buyers in the construction industry rely heavily on the length of the warranties for the purchase of any product or service. The warranty is an agreement between the buyer and the manufacturer and has inclusions that if altered voids the warranty. Hence the length of the warranty has no correlation to the actual performance of the product or service being purchased. One of the manufacturers in the construction industry, in order to differentiate themselves from other manufacturers, approached the researchers to implement a system that can better assist and serve their end users beyond just providing a warranty. The purpose of this paper is to describe and analyse the warranty tracking program that tracks the installed roofing projects for the manufacturers providing an overall snapshot of the performance of all the installed projects. The warranty tracking program provides the manufacturer the risky projects (leaks, blisters, end-user dissatisfied) with the use of end-user customer satisfaction every year. The researchers also implemented the high performance roofing program and a performance-based licensure process to attract high performing applicators. Since the inception of the warranty tracking program the manufacturer has been able to resolve 69 out of 70 (98%) risky projects. In conclusion, the warranty tracking program provided the manufacturer a better way to assist and serve their end users through proactive resolution of risky projects.

scholarly journals End-User Perspectives on Using Quantitative Real-Time PCR and Genomic Sequencing in the Field

2022 ◽  
Vol 7 (1) ◽  
pp. 6
Author(s):  
Kyle Parker ◽  
Jonathan Forman ◽  
George Bonheyo ◽  
Brittany Knight ◽  
Rachel Bartholomew ◽  
...  
Keyword(s):  
Nonprofit Organizations ◽  
Real Time ◽  
Real Time Pcr ◽  
Method Development ◽  
Molecular Detection ◽  
End Users ◽  
Genomic Sequencing ◽  
Quantitative Real Time Pcr ◽  
End User ◽  
Sensitivity Specificity

Quantitative real-time PCR and genomic sequencing have become mainstays for performing molecular detection of biological threat agents in the field. There are notional assessments of the benefits, disadvantages, and challenges that each of these technologies offers according to findings in the literature. However, direct comparison between these two technologies in the context of field-forward operations is lacking. Most market surveys, whether published in print form or provided online, are directed to product manufacturers who can address their respective specifications and operations. One method for comparing these technologies is surveying end-users who are best suited for discussing operational capabilities, as they have hands-on experience with state-of-the-art molecular detection platforms and protocols. These end-users include operators in military defense and first response, as well as various research scientists in the public sector such as government and service laboratories, private sector, and civil society such as academia and nonprofit organizations performing method development and executing these protocols in the field. Our objective was to initiate a survey specific to end-users and their feedback. We developed a questionnaire that asked respondents to (1) determine what technologies they currently use, (2) identify the settings where the technologies are used, whether lab-based or field-forward, and (3) rate the technologies according to a set list of criteria. Of particular interest are assessments of sensitivity, specificity, reproducibility, scalability, portability, and discovery power. This article summarizes the findings from the end-user perspective, highlighting technical and operational challenges.

When 57,300,000 Full Text Search Results Are Just Too Many

2014 ◽  
Author(s):  
Pat Case
Keyword(s):  
Full Text ◽  
Search Engines ◽  
End Users ◽  
End User ◽  
New Paradigm ◽  
Text Search ◽  
Full Text Search ◽  
Search Results ◽  
Impressive Result ◽  
The Web

The Web changed the paradigm for full-text search. Searching Google for search engines returns 57,300,000 results at this writing, an impressive result set. Web search engines favor simple searches, speed, and relevance ranking. The end user most often finds a wanted result or two within the first page of search results. This new paradigm is less useful in searching collections of homogeneous data and documents than it is for searching the web. When searching collections end users may need to review everything in the collection on a topic, or may want a clean result set of only those 6 high-quality results, or may need to confirm that there are no wanted results because finding no results within a collection sometimes answers a question about a topic or collection. To accomplish these tasks, end users may need more end user functionality to return small, manageable result sets. The W3C XQuery and XPath Full Text Recommendation (XQFT) offers extensive end user functionality, restoring the end user control that librarians and expert searches enjoyed before the Web. XQFT offers more end user functionality and control than any other full-text search standard ever: more match options, more logical operators, more proximity operators, more ways to return a manageable result set. XQFT searches are also completely composable with XQuery string, number, date, and node queries, bringing the power of full-text search and database querying together for the first time. XQFT searches run directly against XML, enabling searches on any elements or attributes. XQFT implementations are standard-driven, based on shared semantics and syntax. A search in any implementation is portable and may be used in other implementations.

Real-Time High Jump Wearable Device with ESP8266 for High-Performance and Low-Injury

2018 ◽  
Vol 10 (3) ◽  
Author(s):  
Muhammad Faris Roslan ◽  
◽  
Afandi Ahmad ◽  
Abbes Amira ◽  
◽  
...  
Keyword(s):  
Real Time ◽  
High Performance ◽  
Wearable Device

Use of activated carbon to remove undesirable residual amylase from refinery streams

2017 ◽  
pp. 96-103 ◽  
Author(s):  
Gillian Eggleston ◽  
Isabel Lima ◽  
Emmanuel Sarir ◽  
Jack Thompson ◽  
John Zatlokovicz ◽  
...  
Keyword(s):  
Activated Carbon ◽  
High Temperature ◽  
High Performance ◽  
Activated Carbons ◽  
Amylase Activity ◽  
Sugar Industry ◽  
End User ◽  
Customer Complaints ◽  
Carry Over ◽  
Very High

In recent years, there has been increased world-wide concern over residual (carry-over) activity of mostly high temperature (HT) and very high temperature (VHT) stable amylases in white, refined sugars from refineries to various food and end-user industries. HT and VHT stable amylases were developed for much larger markets than the sugar industry with harsher processing conditions. There is an urgent need in the sugar industry to be able to remove or inactivate residual, active amylases either in factory or refinery streams or both. A survey of refineries that used amylase and had activated carbon systems for decolorizing, revealed they did not have any customer complaints for residual amylase. The use of high performance activated carbons to remove residual amylase activity was investigated using a Phadebas® method created for the sugar industry to measure residual amylase in syrups. Ability to remove residual amylase protein was dependent on the surface area of the powdered activated carbons as well as mixing (retention) time. The activated carbon also had the additional benefit of removing color and insoluble starch.

scholarly journals The impact of end-userś participation (cancer patients) during the optimization process

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
S Houwaart
Keyword(s):  
End Users ◽  
Public Health Care ◽  
Optimization Process ◽  
Patient Organization ◽  
End User ◽  
The Public ◽  
Patient Organizations ◽  
Crucial Information ◽  
The Individual ◽  
The Impact

Abstract End-user (e.g. patients or the public) testing of information material is becoming more common in the German public health care system. However, including the end-user (in this case patients) in an optimisation process and thus enabling a close collaboration while developing PIMs is still rare. This is surprising, given the fact that patients provide the exact perspective one is trying to address. Within the isPO project, a patient organization is included as a legal project partner to act as the patient representative and provide the patient's perspective. As such, the patient organization was included in the PHR approach as part of the PIM-optimisation team. During the optimisation process, the patients gave practical insights into the procedures of diagnosing and treating different types of cancer as well as into the patient's changing priorities and challenges at different time points. This was crucial information for the envisioned application of the individual PIMs and their hierarchical overview. Moreover, the developed PIM-checklist enabled the patients to give detailed feedback to the PIMs. With their experience of being in the exact situation in which the PIMs will be applied, their recommendations, especially on the wording and layout of the materials, have been a valuable contribution to the PIM optimisation process. In this part of the seminar, we will take a closer look at the following skill building aspects: What is gained from including patients as end-users in the development and optimization of PIM?How can we reach patients to contribute to a PIM optimization process? Which requirements and prerequisites do patients have to provide to successfully work on an optimisation team?How to compromise and weigh opinions when different ideas occur? Altogether, this part will construct a structured path of productive patient involvement and help to overcome uncertainties regarding a collaboration with patient organizations.

scholarly journals Artificial Intelligence-Assisted Colonoscopy for Detection of Colon Polyps: a Prospective, Randomized Cohort Study

2020 ◽  
Author(s):  
Yuchen Luo ◽  
Yi Zhang ◽  
Ming Liu ◽  
Yihong Lai ◽  
Panpan Liu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
High Performance ◽  
Detection System ◽  
Random Order ◽  
Colon Polyps ◽  
Clinical Environment ◽  
Polyp Detection ◽  
Link Type ◽  
Polyp Detection Rate

Abstract Background and aims Improving the rate of polyp detection is an important measure to prevent colorectal cancer (CRC). Real-time automatic polyp detection systems, through deep learning methods, can learn and perform specific endoscopic tasks previously performed by endoscopists. The purpose of this study was to explore whether a high-performance, real-time automatic polyp detection system could improve the polyp detection rate (PDR) in the actual clinical environment. Methods The selected patients underwent same-day, back-to-back colonoscopies in a random order, with either traditional colonoscopy or artificial intelligence (AI)-assisted colonoscopy performed first by different experienced endoscopists (> 3000 colonoscopies). The primary outcome was the PDR. It was registered with clinicaltrials.gov. (NCT047126265). Results In this study, we randomized 150 patients. The AI system significantly increased the PDR (34.0% vs 38.7%, p < 0.001). In addition, AI-assisted colonoscopy increased the detection of polyps smaller than 6 mm (69 vs 91, p < 0.001), but no difference was found with regard to larger lesions. Conclusions A real-time automatic polyp detection system can increase the PDR, primarily for diminutive polyps. However, a larger sample size is still needed in the follow-up study to further verify this conclusion. Trial Registration clinicaltrials.gov Identifier: NCT047126265

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