ABSTRACT
Derived from COVID-19 pandemic remote work is now a trend, involving new skills and variations on developers' wellbeing. Current students are going to live this new era in the labor market;it is needed to know if they are getting ready for this scenario. This paper presents an exploratory study based on a survey to assess how developers in industry and students in the academy experienced their wellbeing expressed in emotions during the pandemic, as well as how they practiced the soft skills involved in software development. The results of developers are considered as basis to assess how students are prepared for this context. The descriptive study has shown that developers experienced more positive emotions, while students had a mix of positive and negative emotions. In terms of soft skills, developers and students showed closer levels of practice, however students should reinforce some skills. © 2022 IEEE.
ABSTRACT
: The coronavirus COVID-19 swept the world in early 2020, working from home was a necessity. In the software industry, thousands of software developers began working from home, many did so on short notice, under difficult and stressful conditions. The emotions of developers can be affected by this situation. On the other hand, some well-known soft skills have been emphasized as required for working remotely. Software engineering research lacks theory and methodologies for addressing human aspects in software development. In this paper we present an exploratory study with a survey applied to practitioners in the west border area of Mexico-USA. It is focused on the developers' wellbeing during pandemic, expressed as emotions, and the perceptions of the level in which soft skills are practiced/required in the working from home mode. The results show that high percent expressed to experience positive emotions, however, a portion of respondents expressed to feel negative emotions. In general terms, 91.0% of respondents expressed to be satisfied working from home, but some conditions should be improved. In the case of soft skills, some of them are revealed as practiced in high level in working from home, but still there is not consensus. © 2022, Pleiades Publishing, Ltd.
ABSTRACT
The coronavirus COVID-19 swept the world in early 2020, working from home was a necessity. In the software industry, thousands of software developers began working from home, many did so on short notice, under difficult and stressful conditions. The emotions of developers can be affected by this situation. Software engineering research lacks theory and methodologies for addressing human aspects in software development. In this paper we present an exploratory study with a survey applied to practitioners in the west border area of Mexico-USA. This study is focused on the developers' wellbeing during pandemic, expressed as emotions. The results show that high percent expressed to experience positive emotions such as optimism, serenity, happiness, acceptance, trust, and interest;however, even when negative emotions are not experienced in a significant level, a portion of respondents expressed to feel them. 91.0% expressed to be satisfied working from home, however, some conditions should be improved. © 2021 IEEE.
ABSTRACT
Herein we describe the modular design and manufacturing of an emergency ventilator based on cyclical compression of a resuscitation bag to face the COVID-19 pandemic. This was done to mitigate the staggering conditions to supply these medical devices under challenging scenarios of need and logistics. The design is based on international standards and commissions for medical electrical equipment, particular requirements for basic safety, electromagnetic compatibility, and essential performance of critical care and emergency ventilators. The modular design is capable of providing four ventilation modes: volume/pressure mandatory ventilation and volume/pressure assisted ventilation. After testing with artificial lungs, calibration, and validation instruments it was found that the main ventilation parameters achieved are: maximum tidal volume of 700 mL, maximum pressure of 50 cmH2O, inspiration/expiration ratio up to 1:4 at 30 breaths per minute. The MEDIIK designation is derived from the mayan word ik' which means wind. © 2021 ACM.
ABSTRACT
COVID-19 disease has spread around the world since December 2019. Neurological symptoms are part of its clinical spectrum. Objective: To know the neurological manifestations in patients infected by COVID-19 in Argentina. Methods: Multicenter study conducted in adults, from May 2020 to January 2021, with confirmed COVID-19 and neurological symptoms. Demographic variables, existence of systemic or neurological comorbidities, the form of onset of the infection, alteration in complementary studies and the degree of severity of neurological symptoms were recorded. Results: 817 patients from all over the country were included, 52% male, mean age 38 years, most of them without comorbidities or previous neurological pathology. The first symptom of the infection was neurological in 56.2% of the cases, predominantly headache (69%), then anosmia/ageusia (66%). Myalgias (52%), allodynia/hyperalgesia (18%), and asthenia (6%) were also reported. 3.2% showed diffuse CNS involvement such as encephalopathy or seizures. 1.7% had cerebrovascular complications. Sleep disorders were observed in 3.2%. 6 patients were reported with Guillain Barré (GBS), peripheral neuropathy (3.4%), tongue paresthesia (0.6%), hearing loss (0.4%), plexopathy (0.3%). The severity of neurological symptoms was correlated with age and the existence of comorbidities. Conclusions: Our results, similar to those of other countries, show two types of neurological symptoms associated with COVID-19: some potentially disabling or fatal such as GBS or encephalitis, and others less devastating, but more frequent such as headache or anosmia that demand increasingly long-term care.
ABSTRACT
Purpose: This paper aims to explore university students' multitasking behavior in online classrooms and their influence on academic performance. Also, the study examined students' opinions. Design/methodology/approach: A total of 302 university students fulfilled an online survey. Ten questions were focused on demographic information, five items evaluated online class behavior of students, 9 items evaluated self-efficacy and four items measured academic performance. Findings: Multitasking behavior was found to negatively influence self-efficacy of −0.332, whereas self-efficacy showed a positive influence of 0.325 on academic performance. Cronbach's alpha and average variance extracted values were 0.780 and 0.527 (multitasking behavior), 0.875 and 0.503 (self-efficacy), 0.781 and 0.601 (academic performance). Outcomes of the bootstrapping test showed that the path coefficients are significant. Originality/value: The research findings may help university managers understand undergraduates’ online and face-to-face behavior and strategies to improve the behavior to ensure the best academic outcomes. The novelty is based on using the partial least square structural equation modeling technique. © 2020, Emerald Publishing Limited.