Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment

Recently, various indoor based sensors that were formerly separated from the digital world, are now intertwined with it. The data visualization may aid in the comprehension of large amounts of information. Building on current server-based models, this study intends to display real environmental data acquired by IoT agents in the interior environment. Sensors attached to Arduino microcontrollers are used to collect environmental data for the smart campus environment, including air temperature, light intensity, and humidity. This proposed framework uses the system's server and stores sensor readings, which are subsequently shown in real time on the server platform and in the environment application. However, most current IoT installations do not make use of the enhanced digital representations of the server and its graphical display capabilities in order to improve interior safety and comfort conditions. The storage of such real-time data in a standard and organized way is still being examined even though sensor data integration with storing capacity server-based models has been studied in academics.

PENERAPAN METODE PERBANDINGAN EXPONENSIAL (MPE) PENENTUAN PENERIMAAN BERAS SEJAHTRA (RASTRA) DI DESA TOBU

This research was made with the aim of developing the application of determining the recipient of Rastra (Rice Prosperous) aid in Tobu Village. South middle Timor district by applying the exponential comparison method. Variables or criteria used in this study are work, income, number of dependents, building area and housing conditions and detailed criteria on each variable. This research succeeded in developing an application ranking community beneficiaries of Rastra in Tobu village by using the exponential comparison method (MPE). In this application provides a graphical display feature, print reports that will be used to print and view the results of the ranking of people who are entitled to receive Sejahtera ria.

Compiler for physical and geometric construction of sets

This article is devoted to the geometric representation of sets. The paper presents an implementation that allows using operations on sets to build any images. For this algorithm, the equations of first-and second-order lines on the plane and first-and second-order surfaces in space are used. Restrictions are introduced by setting segments on the coordinate axes, indicating whether lines or surfaces belong to these segments. Inequalities are used to create the shaded area of the drawings. In the course of research on this topic, a software tool was developed that allows you to model drawings using the entered formulas, build images based on a set of operations on given sets of points, which allows you to have an analytical description of the drawings. This software tool can be used both in the educational process to test the correctness of the assimilation of the material, and to create flat geometric shapes and three-dimensional bodies for the purpose of engineering the optimal forms of structures and various parts. This application allows the user, performing operations with mathematical expressions and inequalities, to get a graphical display of the result with a mathematical description of any part of the figure.

Abstract 13737: Enhanced Prehospital End-Tidal CO2 Monitor Data Analysis for Intubated Severe Traumatic Brain Injury: Striking Findings From the EPIC Study

Background: Studies show that EMS patients are often inadvertently hyperventilated (HV), resulting in hypocapnia. In TBI, HV markedly increases mortality. We evaluated continuous prehospital ETCO2 data in intubated TBI patients. Methods: Analysis of monitor data files (Philips MRx™) from a sample of intubated TBI cases in the EPIC Study (NIH-R01NS071049). Results: Among hundreds of cases, graphical display of continuous ETCO2 from 3 subjects dramatically exemplified commonly-occurring inadvertent HV. Fig 1 shows unrecognized HV lasting nearly 15 min. Fig 2 reveals nearly 14 min of increasing ventilatory rate and progressively worsening hypocapnia. Fig 3 shows nearly 4 min of HV that ends abruptly with clear, sudden recognition and slowing of ventilatory rate that leads to restoration of normal ETCO2 in only a few breaths. The corresponding EMS patient care records (PCR) failed to document the presence, severity, and duration of HV. Conclusions: In a study emphasizing prevention of HV, subsequent evaluation of continuous ETCO2 data revealed many cases of unintentionally rapid manual ventilation and severe hypocapnia, often occurring for long periods. These findings, even in the face of explicit guideline-based training, demonstrate a clear need for routine access to continuous monitor data among intubated patients for quality improvement and in clinical studies. Review of PCRs does not reliably identify mismanagement of ventilation. Furthermore, these findings make it likely that real-time audiovisual feedback technology would improve ventilatory management by alerting providers to unidentified HV that results from the frequent distractions occurring during EMS care.

Comparing the impact of an icon array versus a bar graph on preference and understanding of risk information: Results from an online, randomized study

Background Few studies have examined the best way to convey the probability of serious events occurring in the future (i.e., risk of stroke or death) to persons with low numeracy or graph literacy proficiency. To address this gap, we developed and user-tested a bar graph and compared it to icon arrays to assess its impact on understanding and preference for viewing risk information. Objectives To determine the: (i) formats’ impact on participants’ understanding of risk information; (ii) formats’ impact on understanding and format preference across numeracy and graph literacy subgroups; (iii) rationale supporting participants’ preference for each graphical display format. Methods An online sample (evenly made up of participants with high and low objective numeracy and graph literacy) was randomized to view either the icon array or the bar graph. Each format conveyed the risk of major stroke and death five years after choosing surgery, a stent, or medication to treat carotid artery stenosis. Participants answered questions to assess their understanding of the risk information. Lastly, both formats were presented in parallel, and participants were asked to identify their preferred format to view risk information and explain their preference. Results Of the 407 participants, 197 were assigned the icon array and 210 the bar graph. Understanding of risk information and format preference did not differ significantly between the two trial arms, irrespective of numeracy and graph literacy proficiency. High numeracy and graph literacy proficiency was associated with high understanding (p<0.01) and a preference for the bar graph (p = 0.01). Conclusion We found no evidence to demonstrate the superiority of one format over another on understanding. The majority of participants preferred viewing the risk information using the bar graph format.

Impact of hydration on vocal loading using phonetogram measures

<p><strong>Background:</strong> Vocal loading is a phenomenon that affects the vocal folds and voice parameters. Prolonged vocal loading may cause vocal fatigue. Hydration is one of the easiest precautions to reduce the effect of vocal loading. Voice range profile is an analysis of a participant’s vocal intensity and fundamental frequency ranges. Speech range profile is a graphical display of frequency intensity interactions occurring during functional speech activity. Phonetogram software can analyse VRP and SRP.</p><p><strong>Methods:</strong> Total sixty normophonic participants (thirty male and thirty female) were included in this study. Phonetogram, version 4.40 by Tiger DRS, software used to measure the voice range profile and speech range profile. For VRP, participants were asked to produce vowel /a/ and a passage reading task was given for SRP measurement.</p><p><strong>Results:</strong> All sample recording were done at pre vocal loading task, VLT and after hydration. Parameter that were used to measure the effects were Fo-range, semitone, max-F, min-F, SPL range, max-I, min-I, area (dB). Result showed that after VLT all other parameters like Fo-range, semitone, max-F, min-F, SPL range, max-I, min-I, area (dB) in VRP and SRP were reduced except min-F VRP in male, min-I VRP and min-I SRP in both male and female participants. After hydration all other parameters were improved except max-F VRP and min-F VRP in female, max-I VRP, min-F VRP and area VRP.</p><p><strong>Conclusions:</strong> This study concluded that vocal loading has negative impact on vocal fold tissue and mass. </p>

Forest plot: An indispensable segment of meta-analysis

Forest plot is the graphical display of estimated results from a number of scientific studies included in Meta-Analysis. The name refers to the forest of lines produced. It is also known as a blobbogram and is a graphical representation of data from studies addressing the same question, along with the overall results. It was developed for use in medical research as a means of graphically representing a meta-analysis of the results of randomized controlled trials. One of the foremost advantages of these plots is that one can see and interpret the information from the individual studies that went into meta-analysis at a glance. It also highlights the amount of variation between the studies and an estimate of the overall result. This review article throws a light on the importance of forest plots and their interpretation in the field of dental research.

CUSTOMS SPACE OF UKRAINE: PROBLEM ASPECTS AND PRAGMATISM OF THEIR SOLUTION

Introduction. The need to find theoretical and practical ways to solve the problematic aspects of the formation of the customs space of Ukraine in the context of social and economic transformations becomes important. Given the political and economic situation in our country, an important component of the implementation of effective customs policy should be to determine its directions on the basis of the principles of foreign economic activity, the priorities of the strategy of economic development of the state. Methods. General scientific techniques and methods of economic research were used in the process of writing the article. The theoretical and methodological basis of intelligence is the analysis of scientific works of domestic and foreign scientists on the study of problematic aspects of the customs space of Ukraine, Internet resources. The article uses general and special research methods, in particular: general scientific and special – to ensure the achievement of this goal; dialectical, abstract and logical methods of analysis – to substantiate theoretical positions and conclusions. Techniques for graphical display of results are used. Results. The article systematizes the problematic aspects of the formation of the customs space of Ukraine and formulates recommendations on the pragmatism of their solution in modern conditions. Emphasis is placed on the need to strengthen cooperation between law enforcement and customs authorities in order to reduce the risk of the customs space of Ukraine. Customs officials are invited to undergo specialized training and pre-training conducted by the Department of Specialized Training and Cynological Support, as in the period of global transformations the world economy sets new requirements for those institutions whose employees are responsible for the security of the countrys customs space. The consequences of problematic aspects of the formation of the customs space of Ukraine are outlined. Discussion. Further research will focus on studying the state of spatial asymmetry of the customs space of Ukraine in the context of identifying opportunities and prospects for its balancing and improving efficiency. Keywords: customs space, customs environment, customs climate, customs policy, smuggling, violation of customs rules.

ICIPEMIR: Improving the Completeness, Interoperability and Patient Explanations of Medical Imaging Reports

Introduction: Although electronic health records have been facilitating the management of medical information, there is still room for improvement in daily production of medical report. Possible areas for improvement would be: to improve reports quality (by increasing exhaustivity), to improve patients’ understanding (by mean of a graphical display), to save physicians’ time (by helping reports writing), and to improve sharing and storage (by enhancing interoperability). We set up the ICIPEMIR project (Improving the completeness, interoperability and patients explanation of medical imaging reports) as an academic solution to optimize medical imaging reports production. Such a project requires two layers: one engineering layer to build the automation process, and a second medical layer to determine domain-specific data models for each type of report. We describe here the medical layer of this project. Methods: We designed a reproducible methodology to identify -for a given medical imaging exam- mandatory fields, and describe a corresponding simple data model using validated formats. The mandatory fields had to meet legal requirements, domain-specific guidelines, and results of a bibliographic review on clinical studies. An UML representation, a JSON Schema, and a YAML instance dataset were defined. Based on this data model a form was created using Goupile, an open source eCRF script-based editor. In addition, a graphical display was designed and mapped with the data model, as well as a text template to automatically produce a free-text report. Finally, the YAML instance was encoded in a QR-Code to allow offline paper-based transmission of structured data. Results: We tested this methodology in a specific domain: computed tomography for urolithiasis. We successfully extracted 73 fields, and transformed them into a simple data model, with mapping to a simple graphical display, and textual report template. The offline QR-code transmission of a 2,615 characters YAML file was successful with simple smartphone QR-Code scanner. Conclusion: Although automated production of medical report requires domain-specific data model and mapping, these can be defined using a reproducible methodology. Hopefully this proof of concept will lead to a computer solution to optimize medical imaging reports, driven by academic research.