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STEM students' decision making on the use of a technology for determining STEM related problems can be challenging. Web-based applications as well as computer and calculator programs are often used for engineering calculations Students' background in each institution is driven by the technological solutions that they are trained to use. These different technologies are impactful on students' learning paradigms. The objective of this work is to investigate undergraduate and graduate STEM students' technology solution choice differences and commonalities with the justifications of their choices to solve a calculus problem. The findings presented in this work can particularly help educators in making technology choices for different calculus concepts through the realization of STEM students' interest to solve different calculus questions as well as the variational analysis of STEM majors between two institutions located in the U.S. While majority of the participants preferred to use the technology that they are most familiar with or learned how to solve the research question, some of the computing students' chose to solve calculus problems based on the technology that they are proficient in using even if they didn't know how to solve such problems. [ABSTRACT FROM AUTHOR]

Copyright of Congreso Internacional de Investigacion Academia Journals is the property of PDHTech, LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Proceedings on Quality is the property of University of Zenica, Faculty of Mechanical Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

COVID-19 has caused changes in working conditions and environments as well as in living conditions all over the world. The e-Health approach, on the other hand, can help employees to work in healthier environments with the appropriate use of information and communication technologies. In this paper, a solution architecture is presented to reduce the number of physical contacts that cause risk in work environments and to monitor the health status of employees. This architecture has been realized as a mobile application that employees can download on their phones. Usage results among employees have been included in the paper. [ABSTRACT FROM AUTHOR]

When creating standalone applications with scripting languages it may become a challenge to devise powerful graphical user interfaces (GUI) for them that can be deployed and run on all the major operating system platforms, notably Windows, MacOS and Linux. This article introduces a platform independent solution for scripting languages that makes it feasible to quickly implement GUIs, ranging from simple to the most complex needs, by exploiting JavaFX (OpenJFX) and taking advantage of the Java (OpenJDK) scripting framework (javax.script). This way it becomes possible to create standalone, portable GUI applications with scripting languages that support the Java scripting framework. [ABSTRACT FROM AUTHOR]

Static analyses have problems modelling dynamic language features soundly while retaining acceptable precision. The problem is wellunderstood in theory, but there is little evidence on howthis impacts the analysis of real-world programs. We have studied this issue for call graph construction on a set of 31 real-world Java programs using an oracle of actual program behaviour recorded from executions of built-in and synthesised test cases with high coverage, have measured the recall that is being achieved by various static analysis algorithms and configurations, and investigated which language features lead to static analysis false negatives. We report that (1) the median recall is 0.884 suggesting that standard static analyses have significant gaps with respect to the proportion of the program modelled (2) built-in tests are significantly better to expose dynamic program behaviour than synthesised tests (3) adding precision to the static analysis has little impact on recall indicating that those are separate concerns (4) state-of-the-art support for dynamic language features can significantly improve recall (the median observed is 0.935 ), but it comes with a hefty performance penalty, and (5) the main sources of unsoundness are not reflective method invocations, but objects allocated or accessed via native methods, and invocations initiated by the JVM, without matching call sites in the program under analysis. These results provide some novel insights into the interaction between static and dynamic program analyses that can be used to assess the utility of static analysis results and to guide the development of future static and hybrid analyses. [ABSTRACT FROM AUTHOR]

Copyright of Congreso Internacional de Investigacion Academia Journals is the property of PDHTech, LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)