An Investigation into the usability of Europe PubMed Central Database.

Healthcare professionals and lay people are challenged by the availability and plethora of health information particularly web based which has become increasingly important when diagnosing, advising of preventive measures and in prescribing future care. Access to accurate, reliable and current information in a useable format is becoming essential particularly at the point of care and if patients are to be part of that process. Method: Three volunteers were observed carrying out three separate queries to better evaluate the search engine. Ease of access, user experience, relevance of results and an analysis of the usability method were evaluated. (Appendix 1 Blank Observation Sheet). Participants were questioned after the task and asked to grade the usability of the database, its layout and help facilities. (Appendix 3 Questionnaire Sheet). Results: Volunteers experienced a wide range of difficulties in accessing relevant information reflecting their medical and IT background. The professional clinician accessed results more quickly, but accessed other databases when information on a particular query was difficult to find and then use this information to return to PubMed. Conclusions: PubMed is a specialized medical database that is particularly suitable for medical professionals as all articles are peer reviewed whereas other search engines for example, Google have a wider search base, but their relevance and authenticity is more questionable. It is suggested that lay users should explore multiple search engines to search different types of health information and medical knowledge for their own needs as articles containing less specialised vocabulary can be accessed

An Investigation into the usability of Europe PubMed Central Database.

Healthcare professionals and lay people are challenged by the availability and plethora of health information particularly web based which has become increasingly important when diagnosing, advising of preventive measures and in prescribing future care. Access to accurate, reliable and current information in a useable format is becoming essential particularly at the point of care and if patients are to be part of that process. Method: Three volunteers were observed carrying out three separate queries to better evaluate the search engine. Ease of access, user experience, relevance of results and an analysis of the usability method were evaluated. (Appendix 1 Blank Observation Sheet). Participants were questioned after the task and asked to grade the usability of the database, its layout and help facilities. (Appendix 3 Questionnaire Sheet). Results: Volunteers experienced a wide range of difficulties in accessing relevant information reflecting their medical and IT background. The professional clinician accessed results more quickly, but accessed other databases when information on a particular query was difficult to find and then use this information to return to PubMed. Conclusions: PubMed is a specialized medical database that is particularly suitable for medical professionals as all articles are peer reviewed whereas other search engines for example, Google have a wider search base, but their relevance and authenticity is more questionable. It is suggested that lay users should explore multiple search engines to search different types of health information and medical knowledge for their own needs as articles containing less specialised vocabulary can be accessed

Topic modeling and user network analysis on twitter during world lupus awareness day

Twitter is increasingly used by individuals and organizations to broadcast their feelings and practices, providing access to samples of spontaneously expressed opinions on all sorts of themes. Social media offers an additional source of data to unlock information supporting new insights disclosures, particularly for public health purposes. Systemic lupus erythematosus (SLE) is a complex, systemic autoimmune disease that remains a major challenge in therapeutic diagnostic and treatment management. When supporting patients with such a complex disease, sharing information through social media can play an important role in creating better healthcare services. This study explores the nature of topics posted by users and organizations on Twitter during world Lupus day to extract latent topics that occur in tweet texts and to identify what information is most commonly discussed among users. We identified online influencers and opinion leaders who discussed different topics. During this analysis, we found two different types of influencers that employed different narratives about the communities they belong to. Therefore, this study identifies hidden information for healthcare decision-makers and provides a detailed model of the implications for healthcare organizations to detect, understand, and define hidden content behind large collections of text

Modeling and Analysis of Unmanned Aerial Vehicle System Leveraging Systems Modeling Language (SysML)

The use of unmanned aerial vehicles (UAVs) has seen a significant increase over time in several industries such as defense, healthcare, and agriculture to name a few. Their affordability has made it possible for industries to venture and invest in UAVs for both research and commercial purposes. In spite of their recent popularity; there remain a number of difficulties in the design representation of UAVs, including low image analysis, high cost, and time consumption. In addition, it is challenging to represent systems of systems that require multiple UAVs to work in cooperation, sharing resources, and complementing other assets on the ground or in the air. As a means of compensating for these difficulties; in this study; we use a model-based systems engineering (MBSE) approach, in which standardized diagrams are used to model and design different systems and subsystems of UAVs. SysML is widely used to support the design and analysis of many different kinds of systems and ensures consistency between the design of the system and its documentation through the use of an object-oriented model. In addition, SysML supports the modeling of both hardware and software, which will ease the representation of both the system’s architecture and flow of information. The following paper will follow the Magic Grid methodology to model a UAV system across the SysML four pillars and integration of SysML model with external script-based simulation tools, namely, MATLAB and OpenMDAO. These pillars are expressed within standard diagram views to describe the structural, behavior, requirements, and parametric aspect of the UAV. Finally, the paper will demonstrate how to utilize the simulation capability of the SysML model to verify a functional requirement

Are language production problems apparent in adults who no longer meet diagnostic criteria for attention-deficit/hyperactivity disorder?

In this study, we examined sentence production in a sample of adults (N = 21) who had had attention-deficit/hyperactivity disorder (ADHD) as children, but as adults no longer met DSM-IV diagnostic criteria (APA, 2000). This “remitted” group was assessed on a sentence production task. On each trial, participants saw two objects and a verb. Their task was to construct a sentence using the objects as arguments of the verb. Results showed more ungrammatical and disfluent utterances with one particular type of verb (i.e., participle). In a second set of analyses, we compared the remitted group to both control participants and a “persistent” group, who had ADHD as children and as adults. Results showed that remitters were more likely to produce ungrammatical utterances and to make repair disfluencies compared to controls, and they patterned more similarly to ADHD participants. Conclusions focus on language output in remitted ADHD, and the role of executive functions in language production