Graphical Reports Research Articles

Machine learning-based tissue of origin classification for cancer of unknown primary diagnostics using genome-wide mutation features

Cancers of unknown primary (CUP) origin account for ∼3% of all cancer diagnoses, whereby the tumor tissue of origin (TOO) cannot be determined. Using a uniformly processed dataset encompassing 6756 whole-genome sequenced primary and metastatic tumors, we develop Cancer of Unknown Primary Location Resolver (CUPLR), a random forest TOO classifier that employs 511 features based on simple and complex somatic driver and passenger mutations. CUPLR distinguishes 35 cancer (sub)types with ∼90% recall and ∼90% precision based on cross-validation and test set predictions. We find that structural variant derived features increase the performance and utility for classifying specific cancer types. With CUPLR, we could determine the TOO for 82/141 (58%) of CUP patients. Although CUPLR is based on machine learning, it provides a human interpretable graphical report with detailed feature explanations. The comprehensive output of CUPLR complements existing histopathological procedures and can enable improved diagnostics for CUP patients.

User Comprehension of Complexity Design Graph Reports.

Decision makers spend significant time and effort interpreting information derived from large multidimensional databases; data are usually represented by several dashboard diagrams. The Complexity Design (CoDe) methodology provides a technique modeling graphical reports on data extracted by a data warehouse, where the charts composing the dashboard diagrams are integrated with a visual representation of the logical relationships among them. The generated visualizations (CoDe Graphs) are automatically obtained by connecting dashboard diagrams through graphical conceptual links. After analyzing the state of the art regarding the evaluation of graphical representation comprehensibility, we propose a classification of those evaluation approaches and evaluate the comprehensibility of CoDe Graphs concerning dashboard reports through a controlled experiment, involving 47 participants. Results show that CoDe Graphs reduce participants effort while improving effectiveness and efficiency in comprehension tasks.

ADVISE MOBILE: A WEB AND MOBILE-BASED GUIDANCE CONSULTATION SYSTEM

This study is entitled Advise Mobile: A Web and Mobile Based Guidance Consultation System. The study was conducted by the proponent at Carlos Hilado Memorial State College – Alijis Campus. Since institutions nowadays have adapted to the technology era that makes everyday living easier, the proponent came up with this study. The proponent interviewed with the Guidance Counselor about how the office conducted counseling or consultation and found out that the main problem of the office was the paper works to be compiled and kept confidential. This study aided the manual process of consultation to make it a computerized and automated system. This study provided the students with a system that allows them to request an appointment schedule for counseling, receives an SMS notification for the schedule, modifies their accounts and makes a video conference with the Guidance Counselor. The Guidance Counselor was also provided with the same concept except for setting the schedule of the requested appointment for counseling or consultation. While for the Administrator, the system provided graphical reports and the statuses of the counseling of the Guidance Counselor and the students. The system is web and mobile-based and the internet is essential to access the system.

Sms-based information dissemination system with android application controller for Taguig city university

This study aimed to determine the accessibility of information in Taguig City University in terms of Class Suspensions, Schedule of Enrollment, Meetings and Seminars, Programs/Events, New School Policies and Grade Inquiry. It also focused on the development of SMS-Based Information Dissemination System with Android Application Controller and intended to determine the evaluation of the students, faculty members, non-teaching personnel and IT practitioners on the developed SMS-Based Information Dissemination System with Android Application Controller using the criteria based on ISO 25010 Software Quality Standards. A total of 307 students, 38 faculty members, 38 non-teaching personnel and 20 IT practitioners from Taguig City University participated in the study. In order for the researcher to develop the SMS-Based Information Dissemination System with Android Application Controller, the design covers the model used in the development of the application that is called the Waterfall Model. The results revealed that the level of accessibility of information at Taguig City University as perceived by the respondents was “Accessible”. It was also found out that the evaluation of the respondents on the proposed SMS-Based Information Dissemination System with Android Application Controller was “Very Satisfactory”. The results of one-way ANOVAs revealed that there were no significant differences in the evaluation of SMS-Based Information Dissemination System with Android Application Controller between students, faculty and non-teaching personnel. Lastly, the enhancements that were suggested by the respondents include Improve Graphical User Interface, Security Features, Reports Generation and Develop Android Application for Students.

Sms-based information dissemination system with android application controller for Taguig city university


 
 
 This study aimed to determine the accessibility of information in Taguig City University in terms of Class Suspensions, Schedule of Enrollment, Meetings and Seminars, Programs/Events, New School Policies and Grade Inquiry. It also focused on the development of SMS-Based Information Dissemination System with Android Application Controller and intended to determine the evaluation of the students, faculty members, non-teaching personnel and IT practitioners on the developed SMS-Based Information Dissemination System with Android Application Controller using the criteria based on ISO 25010 Software Quality Standards. A total of 307 students, 38 faculty members, 38 non-teaching personnel and 20 IT practitioners from Taguig City University participated in the study. In order for the researcher to develop the SMS-Based Information Dissemination System with Android Application Controller, the design covers the model used in the development of the application that is called the Waterfall Model. The results revealed that the level of accessibility of information at Taguig City University as perceived by the respondents was “Accessible”. It was also found out that the evaluation of the respondents on the proposed SMS-Based Information Dissemination System with Android Application Controller was “Very Satisfactory”. The results of one-way ANOVAs revealed that there were no significant differences in the evaluation of SMS-Based Information Dissemination System with Android Application Controller between students, faculty and non-teaching personnel. Lastly, the enhancements that were suggested by the respondents include Improve Graphical User Interface, Security Features, Reports Generation and Develop Android Application for Students.
 
 

Shear thinning and shear thickening aspects in magnetized 3D cross-nanofluid flow with activation energy and motile microorganisms

Bioconvection has recently become a point of contention in several biotechnological fields that rely on fluids and their physical properties. Bioconvection tends to happen when mixed nanofluids are subjected to elevated and mass transmission. I'm fascinated by the widespread use of bioconvective nanofluids in the construction of microbial fuel cells, microbial oil extraction mechanisms, processing plants, and other applications. Current research looks at the heat and mass transport properties of cross-nanofluid. Effects of stratification for double diffusion are also considered. Variable thickness sheets are increasingly being used in civil engineering, mechanical, aeronautical, and maritime processes and constructions. Flow and heat transfer across stretching surfaces is used in many technical processes, including polymer extrusion, plastic film stretching, food, and paper processing, fiberglass manufacturing, wire drawing, and continuous casting. Primary goal of the ongoing research is to learn about the properties of activation energy, nonlinear thermal radiation, heat sink source, and motile microorganisms of three-dimensional cross nanofluid flow. The bvp4c structure is used to numerically encode the boundary value problem in the MATLAB mathematical code. To retrieve numerical and graphical reports on velocity, thermal, and energy profiles versus the values of the most important physical parameters, graphs and tables were used.

Next generation Open Access analytics: A case study

A critical component in the development of sustainable funding models for Open Access (OA) is the ability to communicate impact in ways that are meaningful to a diverse range of internal and external stakeholders, including institutional partners, funders, and authors. While traditional paywall publishers can take advantage of industry standard COUNTER reports to communicate usage to subscribing libraries, no similar standard exists for OA content. Instead, many organizations are stuck with proxy metrics like sessions and page views that struggle to discriminate between robotic access and genuine engagement. This paper presents the results of an innovative project that builds on existing COUNTER metrics to develop more flexible reporting. Reporting goals include surfacing third party engagement with OA content, the use of graphical report formats to improve accessibility, the ability to assemble custom data dashboards, and configurations that support the variant needs of diverse stakeholders. We’ll be sharing our understanding of who the stakeholders are, their differing needs for analytics, feedback on the reports shared, lessons learned, and areas for future research in this evolving area.

How to make online mood-monitoring in bipolar patients a success? A qualitative exploration of requirements

BackgroundThe Life-Chart Method (LCM) is an effective self-management treatment option in bipolar disorder (BD). There is insufficient knowledge about the consumers’ needs and desires for an e-monitoring solution. The first step towards a new mood monitoring application is an extended inventory among consumers and professionals.MethodsThe aim of the current study was: to identify opinions about online mood monitoring of patients with BD and professionals and to identify preferences on design, technical features and options facilitating optimal use and implementation of online mood monitoring. This study used a qualitative design with focus-groups. Participants were recruited among patients and care providers. Three focus-groups were held with eight consumers and five professionals.ResultsThe focus-group meetings reveal a shared consciousness of the importance of using the Life-Chart Method for online mood monitoring. There is a need for personalization, adjustability, a strict privacy concept, an adjustable graphic report, and a link to early intervention strategies in the design. Due to the fact that this is a qualitative study with a relative small number of participants, so it remains unclear whether the results are fully generalizable. We can’t rule out a selection bias.ConclusionsThis study demonstrates the importance of involving stakeholders in identifying a smartphone-based mood charting applications’ requirements. Personalization, adjustability, privacy, an adjustable graphic report, and a direct link to early intervention strategies are necessary requirements for a successful design. The results of this value specification are included in the follow-up of this project.

SnpQT: flexible, reproducible, and comprehensive quality control and imputation of genomic data.

Quality control of genomic data is an essential but complicated multi-step procedure, often requiring separate installation and expert familiarity with a combination of different bioinformatics tools. Software incompatibilities, and inconsistencies across computing environments, are recurrent challenges, leading to poor reproducibility. Existing semi-automated or automated solutions lack comprehensive quality checks, flexible workflow architecture, and user control. To address these challenges, we have developed snpQT: a scalable, stand-alone software pipeline using nextflow and BioContainers, for comprehensive, reproducible and interactive quality control of human genomic data. snpQT offers some 36 discrete quality filters or correction steps in a complete standardised pipeline, producing graphical reports to demonstrate the state of data before and after each quality control procedure. This includes human genome build conversion, population stratification against data from the 1,000 Genomes Project, automated population outlier removal, and built-in imputation with its own pre- and post- quality controls. Common input formats are used, and a synthetic dataset and comprehensive online tutorial are provided for testing, educational purposes, and demonstration. The snpQT pipeline is designed to run with minimal user input and coding experience; quality control steps are implemented with numerous user-modifiable thresholds, and workflows can be flexibly combined in custom combinations. snpQT is open source and freely available at https://github.com/nebfield/snpQT. A comprehensive online tutorial and installation guide is provided through to GWAS (https://snpqt.readthedocs.io/en/latest/), introducing snpQT using a synthetic demonstration dataset and a real-world Amyotrophic Lateral Sclerosis SNP-array dataset.

Computer Application to Estimate PVT Conditions in Oil Wells in the Ecuadorian Amazon

A reservoir behaviour's characterisation is determined by analysing the fluids' physical properties, reported in Pressure, Volume and Temperature (PVT) tests. These tests are performed in the laboratory or are estimated by mathematical correlations with the well's basic properties. The eastern basin of Ecuador is considered a hydrocarbon zone, and the analysis of the physical properties of the fluid from oil wells is essential. The aim is to develop the PVTTESTSYSTEM software to estimate PVT conditions when there are no laboratory tests. The study methodology is based on (i) Compilation of 10 PVT laboratory tests of oil wells in the eastern basin of Ecuador; (ii) Analysis of mathematical correlations; (iii) Development of the PVTTESTSYSTEM software, with the wells' initial conditions' input, selecting the mathematical correlation and estimation of results, based on the relationship of the properties of oil and gas; iv) Comparison of data obtained by laboratory tests and PVTTESTSYSTEM software reports. The software used with a graphical interface presents a registration and login platform and five modules that allow: inserting company and field data, initial oil well data, selecting correlations, calculating PVT properties and generating a graphic report. The results show that the mathematical correlations that estimate PVT properties were systematised, which approximate the laboratory tests' real results. The approximation of the calculated results with the actual results establishes a high confidence level for the PVTTESTSYSTEM software.

SISTEM MONITORING DAN EVALUASI PENERIMA PROGRAM KELUARGA HARAPAN (PKH) UNTUK KELUARGA PENERIMA MANFAAT (KPM) BERBASIS WEB di NAGARI KOTO TINGGI KECAMATAN ENAM LINGKUNG

The Effort to accelerate poverty reduction, the Government launched the Program Keluarga Harapan (PKH). This program aims to improve human quality by providing conditional cash assistance for poor families designated as Beneficiary Families in accessing health and education services, reducing the burden of spending, and increasing poor families' income.
 In implementing the Program Keluarga Harapan (PKH) it is necessary to monitor and evaluate the activities carried out on the beneficiary families in Nagari Koto Tinggi, Enam Lingkung District. This study aims to create an evaluation monitoring system for PKH beneficiaries. This evaluation monitoring system was built using the Laravel framework, PHP web programming, and DBMS MySQL, the output of a web-based information system for monitoring and evaluating PKH group data, categories, budget realization for Beneficiary Families, and graphic reports including Education, toddlers, pregnant women (health), persons with disabilities and the elderly (social welfare), the PKH evaluation monitoring system can assist PKH managers in monitoring the evaluation of Beneficiary Families data.

SnpQT: flexible, reproducible, and comprehensive quality control and imputation of genomic data

Quality control of genomic data is an essential but complicated multi-step procedure, often requiring separate installation and expert familiarity with a combination of different bioinformatics tools. Software incompatibilities, and inconsistencies across computing environments, are recurrent challenges, leading to poor reproducibility. Existing semi-automated or automated solutions lack comprehensive quality checks, flexible workflow architecture, and user control. To address these challenges, we have developed snpQT: a scalable, stand-alone software pipeline using nextflow and BioContainers, for comprehensive, reproducible and interactive quality control of human genomic data. snpQT offers some 36 discrete quality filters or correction steps in a complete standardised pipeline, producing graphical reports to demonstrate the state of data before and after each quality control procedure. This includes human genome build conversion, population stratification against data from the 1,000 Genomes Project, automated population outlier removal, and built-in imputation with its own pre- and post- quality controls. Common input formats are used, and a synthetic dataset and comprehensive online tutorial are provided for testing, educational purposes, and demonstration. The snpQT pipeline is designed to run with minimal user input and coding experience; quality control steps are implemented with numerous user-modifiable thresholds, and workflows can be flexibly combined in custom combinations. snpQT is open source and freely available at https://github.com/nebfield/snpQT. A comprehensive online tutorial and installation guide is provided through to GWAS (https://snpqt.readthedocs.io/en/latest/), introducing snpQT using a synthetic demonstration dataset and a real-world Amyotrophic Lateral Sclerosis SNP-array dataset.

Quaternary Structure Modeling Through Chemical Cross-Linking Mass Spectrometry: Extending TX-MS Jupyter Reports.

Protein-protein interactions can be challenging to study yet provide insights into how biological systems function. Targeted cross-linking mass spectrometry (TX-MS), a method combining quaternary protein structure modeling and chemical cross-linking mass spectrometry, creates high-accuracy structure models using data obtained from complex, unfractionated samples. This removes one of the major obstacles to protein complex structure analysis because the proteins of interest no longer need to be purified in large quantities. Cheetah-MS web server was developed to make the simplified version of the protocol more accessible to the community. Considering the tandem MS/MS data, Cheetah-MS generates a Jupyter Notebook, a graphical report summarizing the most important analysis results. Extending the Jupyter Notebook can yield more in-depth insights and better understand the model and the mass spectrometry data supporting it. The technical protocol presented here demonstrates some of the most common extensions and explains what information can be obtained. It contains blocks to help analyze tandem MS/MS acquisition data and the overall impact of the detected XLs on the reported quaternary models. The result of such analyses can be applied to structural models that are embedded in the notebook using NGLView.

Words, drawings and digital representation: visual interpretations of the narratives of machado de assis in morro do castelo

This article’s purpose is to create a digital graphic reconstitution of Machado de Assis’ literary characters from the narrative “Uma por Outra”, edited in 1897, focusing on the fictional scenario based on the physical relationship between a specific house on the Misericórdia street and houses on "Morro do Castelo", that existed in an urban context and now disappeared. The methodology combines previous studies on the representation with historical digital urban models, responsible for potentialize the documentary information and promoting the points of view of the characters. The article led to finding an approach to using iconography and digital models in order to conclude that the author’s fiction was based on a real site. The main research limitation concerns Castelo Hill disappearance in 1922 and the limited remaining iconographic sources. In addition, research on theoretical studies of representation of the city as a graphic report have taken place. Therefore, the originality of this study deals with interesting literary research and the results and conclusions will serve as reference to further new areas of knowledge about the cities.

Computer Aided System for Industrial Productivity Performance Determination

One obvious problem in determining productivity especially for small and medium scale companies is the lack of appropriate software to help determine their productivity. This work developed a computer aided system for industrial productivity performance determination for small and medium-scale industries. The industrial productivity assessment application was developed using C# in the visual studio Integrated development environment. The application featured an easy to use and modern graphical interface and PDF report generation functionality. The usage procedure basically involved getting the productivity input data via an administered questionnaire, feeding the input into the Material, Capital, Labour, Energy, Expenses and Output sections respectively and generating the productivity report. In order to evaluate the performance of the developed application, a suitable company “Psaltry International Ltd” was selected as a case study and the data from 2013 to 2019 were used as the test inputs. The input data were also analysed manually and the result were compared with the generated results from the productivity assessment application which duly showed that the result from the productivity application was accurate. Based on this it was recommended that small and medium scale industries should embrace the use of computer aid systems in the management of their productivity.

Nueva versión en Windows del sistema AUDIX para la evaluación objetiva de la audición

El presente trabajo describe una nueva versión del sistema AUDIX, diseñada como una estación de trabajo informatizada, para la audiometría objetiva y subjetiva. El sistema, esta integrado por un ordenador (PC) con una serie de programas de cómputo (“software”) el cual se conecta mediante una interfaz universal (universal serial bus USB) con un bloque electrónico especializado (“hardware”). El bloque electrónico tiene dos amplificadores bioeléctricos y un estimulador acústico digital totalmente programable con dos canales independientes. Esto permite generar de manera simultánea por ambos oídos, estímulos complejos diferentes (mezcla de tonos modulados en amplitud). Los estímulos acústicos pueden ser presentados a través de audiófonos (suprauriculares o de inserción), vibrador óseo y/o altavoces. El software programado sobre una plataforma Windows, tiene 5 módulos diferentes para la adquisición y análisis de PEA transientes y de estado estable, audiometría conductual, administración de base de datos y calibración. La base de datos del sistema permite almacenar, borrar, extraer, crear y realizar copias de respaldo. Durante la adquisición de los PEA se utilizan diferentes métodos estadísticos como indicadores para la detección objetiva de las respuestas. Puede visualizarse en forma concurrente la actividad bioeléctrica de base (monitoreo de EEG) y el resultado de la promediación (PEA). Los resultados del examen electroaudiométrico son analizados fuera de línea de una manera flexible, generándose múltiples reportes gráficos y permitiendo la comparación automática con datos normativos. En el caso de los PEAee los resultados pueden ser presentados en el formato estándar de un audiograma convencional utilizando diferentes escalas (dB: HL, SPL, nHL). El sistema AUDIX ha sido validado ampliamente en la práctica clínica resultando de utilidad para la detección temprana de las pérdidas auditivas y la caracterización precisa de la audición en toda la gama de frecuencias audibles.

SnpQT: flexible, reproducible, and comprehensive quality control and imputation of genomic data.

Quality control of genomic data is an essential but complicated multi-step procedure, often requiring separate installation and expert familiarity with a combination of different bioinformatics tools. Dependency hell and reproducibility are recurrent challenges. Existing semi-automated or automated solutions lack comprehensive quality checks, flexible workflow architecture, and user control. To address these challenges, we have developed snpQT: a scalable, stand-alone software pipeline using nextflow and BioContainers, for comprehensive, reproducible and interactive quality control of human genomic data. snpQT offers some 36 discrete quality filters or correction steps in a complete standardised pipeline, producing graphical reports to demonstrate the state of data before and after each quality control procedure. This includes human genome build conversion, population stratification against data from the 1,000 Genomes Project, automated population outlier removal, and built-in imputation with its own pre- and post- quality controls. Common input formats are used, and a synthetic dataset and comprehensive online tutorial are provided for testing, educational purposes, and demonstration. The snpQT pipeline is designed to run with minimal user input and coding experience; quality control steps are implemented with default thresholds which can be modified by the user, and workflows can be flexibly combined in custom combinations. snpQT is open source and freely available at https://github.com/nebfield/snpQT. A comprehensive online tutorial and installation guide is provided through to GWAS (https://snpqt.readthedocs.io/en/latest/), introducing snpQT using a synthetic demonstration dataset and a real-world Amyotrophic Lateral Sclerosis SNP-array dataset.

Development and implementation of a process evaluation for intervention quality improvement of a community-based behavioral HIV intervention trial in Tanzania.

Process evaluations for social and behavioral interventions are increasingly important as interventions become more complex and multi-faceted. Conducting process evaluations in low-resource international settings can be challenging. Process evaluations in low-resource international settings can help inform and improve quality of ongoing intervention implementation. We conducted a process evaluation of a cluster-randomized controlled trial to assess the efficacy of a microfinance and health leadership program on sexually transmitted infections and intimate partner violence perpetration among young men in Tanzania. Our trial included 1,491 participants and the intervention lasted two years. We collected process data on microfinance loan uptake and repayment, and health leaders' health conversations with peers to monitor intervention reach and dose received. We developed a database system that allowed offline data collection and synced to a central database when internet was accessible. Research staff in the U.S. accessed data from the central database to analyze and create regular implementation reports. Process graphical reports facilitated identification of implementation challenges and enabled us to resolve issues before they worsened. For example, from a group with low microfinance loan repayment we learned area participants perceived the loan to be a grant, and then we clarified the misinformation with participants. The process evaluation helped inform ongoing intervention implementation, including approaches to improve reach and uptake of interventions. Field staff time was protected by systemizing the sharing of data processing and analyses across the global team.

Targeted urine metabolomics with a graphical reporting tool for rapid diagnosis of inborn errors of metabolism.

The current diagnostic work‐up of inborn errors of metabolism (IEM) is rapidly moving toward integrative analytical approaches. We aimed to develop an innovative, targeted urine metabolomics (TUM) screening procedure to accelerate the diagnosis of patients with IEM. Urinary samples, spiked with three stable isotope‐labeled internal standards, were analyzed for 258 diagnostic metabolites with an ultra‐high performance liquid chromatography‐quadrupole time‐of‐flight mass spectrometry (UHPLC‐QTOF‐MS) configuration run in positive and negative ESI modes. The software automatically annotated peaks, corrected for peak overloading, and reported peak quality and shifting. Robustness and reproducibility were satisfactory for most metabolites. Z‐scores were calculated against four age‐group‐matched control cohorts. Disease phenotypes were scored based on database metabolite matching. Graphical reports comprised a needle plot, annotating abnormal metabolites, and a heatmap showing the prioritized disease phenotypes. In the clinical validation, we analyzed samples of 289 patients covering 78 OMIM phenotypes from 12 of the 15 society for the study of inborn errors of metabolism (SSIEM) disease groups. The disease groups include disorders in the metabolism of amino acids, fatty acids, ketones, purines and pyrimidines, carbohydrates, porphyrias, neurotransmitters, vitamins, cofactors, and creatine. The reporting tool easily and correctly diagnosed most samples. Even subtle aberrant metabolite patterns as seen in mild multiple acyl‐CoA dehydrogenase deficiency (GAII) and maple syrup urine disease (MSUD) were correctly called without difficulty. Others, like creatine transporter deficiency, are illustrative of IEM that remain difficult to diagnose. We present TUM as a powerful diagnostic screening tool that merges most urinary diagnostic assays expediting the diagnostics for patients suspected of an IEM.

Desenvolvimento de aplicativo móvel para monitorização dos níveis glicêmicos obtidos por medições capilar e sensor subcutâneo

Um dos desafios para os pacientes com diabetes mellitus (DM) é controlar as concentrações glicêmicas e, observa-se melhora nos resultados clínicos quando utilizam aplicativos móveis para realizar o seu autocuidado. A monitorização da glicemia por técnica capilar (GC) fornece apenas dados intermitentes do controle metabólico, impedindo uma visão completa do perfil glicêmico do paciente. Com a Monitorização Contínua de Glicose (CGM), é possível avaliar com exatidão as variações glicêmicas ao longo do dia, com intervenção terapêutica mais eficaz. Diante destas premissas a presente pesquisa teve como objetivo promover o desenvolvimento de um aplicativo móvel, denominado UP GLICEMIA, para monitorização da glicose por CGM por meio do sensor subcutâneo e GC, que geram relatórios gráficos simultâneos. Os valores glicêmicos, quando medidos e registrados no aplicativo, são informados ao usuário em forma de padrões de alertas para normoglicemia, tolerável, hiperglicemia e hipoglicemia, apresentados em cores verde, amarelo, vermelho e roxo, respectivamente. O referido aplicativo, também gera relatórios gráficos diários, semanais e mensais para as duas técnicas de medidas glicêmicas por meio de gráficos individuais e também associados, que poderão auxiliar na conduta terapêutica. Tratou-se de uma pesquisa aplicada, exploratória para desenvolvimento de aplicativo, com uma nova perspectiva para o controle glicêmico. Espera-se que a utilização do UP GLICEMIA para o paciente com DM tipo 1 e tipo 2 e pelo profissional de saúde possa auxiliar no melhor entendimento do monitoramento da glicose do usuário, demonstrando o perfil glicêmico por completo e possibilite o controle da glicemia.