Search results for "Computer Science Application"
showing 10 items of 3998 documents
“I Am Your Fan; Bookmarked!” Members’ Identification Development in Founder-Led Online Communities
2019
In this study, we present the findings from an inductive and interpretive case study of a founder-led online community (OC), exploring how members’ identification develops within the community over time. Using a longitudinal study of an OC that was founded by a reputable individual, it is shown that members were first attracted to the OC through their affective and cognitive identification with the founder; however, over time, they developed identification through social interaction with other members. The findings show that this transformation was enabled by the founder’s communication behavior, which not only led to inspired and engaged members but also to the emergence of new leaders who…
Interkingdom Gut Microbiome and Resistome of the Cockroach Blattella germanica
2021
Cockroaches are intriguing animals with two coexisting symbiotic systems, an endosymbiont in the fat body, involved in nitrogen metabolism, and a gut microbiome whose diversity, complexity, role, and developmental dynamics have not been fully elucidated. In this work, we present a metagenomic approach to study Blattella germanica populations not treated, treated with kanamycin, and recovered after treatment, both naturally and by adding feces to the diet, with the aim of better understanding the structure and function of its gut microbiome along the development as well as the characterization of its resistome.
Investigating the effectiveness of a digital game-based task on the acquisition of word knowledge
2020
This study investigates the probable effect of a digital game-based vocabulary learning (DGBVL) task on the acquisition of some components of a word knowledge framework. In so doing, 124 Persian speakers (56 males and 68 females) were randomly assigned to either a control or an experimental group. The experimental group participants completed a DGBVL task for acquiring ten low-frequent inanimate object names, or lexical nouns, by playing a commercial adventure game. The control group participants practiced the same words in a fill-in-the-blank vocabulary acquisition exercise. In brief, first, all participants sat for a word-checklist and a proficiency test; next, they completed their tasks,…
Consumer adoption of mobile technologies: a literature review
2015
Although the total number of mobile subscriptions reached 6.8 billion worldwide (ITU, 2013) confirming in the process that mobile technology is widespread, academic literature has so far focused only on explaining adoption of mobile technology and services. This literature review analyses 67 studies from the period 2005-2013 and finds the following: a) most studies are quantitative in nature and come from Asia; b) the Technology Acceptance Model is the most used theory; c) future research should also utilise qualitative methods and examine the behavioural outcomes of mobile adoption instead of simply adoption in consumer markets. peerReviewed
The Development and Precision of a Custom-Made Skitester
2021
In the sport of cross-country skiing, equipment has a direct influence on results. Ski teams do extensive testing of different ski base grinds and products on a yearly basis. To achieve reliable results, the quality of methods used for testing skis needs to be taken in to account in addition to factors including the physical characteristics of testing personnel and changes in weather conditions. The aim of this study was to introduce a custom-made skitester, that was developed for testing skis on real snow, in laboratory conditions, and to evaluate its precision. The current skitester is capable of glide testing both classic and skate skis as well as kick simulation for the testing of grip …
Serious Games: A new Approach to Foster Information and Practices About Covid-19?
2022
The current Covid-19 pandemic poses an unprecedented global challenge in the field of education and training. As we have seen, the lack of proper information about the virus and its transmission has forced the general population and healthcare workers to rapidly acquire knowledge and learn new practices. Clearly, a well-informed population is more likely to adopt the correct precautionary measures, thus reducing the transmission of the infection; likewise, properly educated healthcare workers are better equipped to manage the emergency. However, the need to maintain physical distancing has made it impossible to provide in-presence information and training. In this regard, new technologies h…
Capturing cognitive load management during authentic virtual reality flight training with behavioural and physiological indicators
2023
Background Cognitive load (CL) management is essential in safety-critical fields so that professionals can monitor and control their cognitive resources efficiently to perform and solve scenarios in a timely and safe manner, even in complex and unexpected circumstances. Thus, cognitive load theory (CLT) can be used to design virtual reality (VR) training programmes for professional learning in these fields. Objectives We studied CL management performance through behavioural indicators in authentic VR flight training and explored if and to what extent physiological data was associated with CL management performance. Methods The expert (n = 8) and novice pilots (n = 6) performed three approac…
Finnish 5th and 6th grade students' pre-instructional conceptions of artificial intelligence (AI) and their implications for AI literacy education
2022
In the present paper, we report the findings of a qualitative survey study of 195 Finnish 5th and 6th grade students' pre-instructional conceptions of artificial intelligence (AI). An exploration of these initial conceptions provides insight into students' preliminary understanding of the topic and informs curriculum designers and teachers about misconceptions that might jeopardize student learning. The findings suggest that students' initial conceptions of AI are varied and often uninformed. For instance, references to the role of data in training AI applications were practically nonexistent. Instead, AI was often described as an anthropomorphic technology that possesses cognitive qualitie…
Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG
2022
Driver distraction diverting drivers' attention to unrelated tasks and decreasing the ability to control vehicles, has aroused widespread concern about driving safety. Previous studies have found that driving performance decreases after distraction and have used vehicle behavioral features to detect distraction. But how brain activity changes while distraction remains unknown. Electroencephalography (EEG), a reliable indicator of brain activities has been widely employed in many fields. However, challenges still exist in mining the distraction information of EEG in realistic driving scenarios with uncertain information. In this paper, we propose a novel framework based on Multi-scale entrop…
Laser assisted decay spectroscopy at the CRIS beam line at ISOLDE
2012
A new collinear resonant ionization spectroscopy (Cris)beam line has recently been installed at Isolde, Cern utilising lasers to combine collinear laser spectroscopy and resonant ionization spectroscopy. The combined technique offers the ability to purify an ion beam that is heavily contaminated with radioactive isobars, including the ground state of an isotope from its isomer, allowing sensitive secondary experiments to be performed. A new programme aiming to use the Cris technique for the separation of nuclear isomeric states for decay spectroscopy will commence in 2011. A decay spectroscopy station, consisting of a rotating wheel implantation system for alpha decay spectroscopy, and thre…