this research has been designed in order to provide an appropriate methodology for business model change and update based on applying new information and communication technologies such as mobile technology in an organization. in this way, after investigation of all related references in the field of business model, ict change, business model change and applying mobile technology in organizatio...

In this paper, we discuss the role of mobile technology in developing training tools for health workers, with particular reference to low-income countries (LICs). The global and technological context is outlined, followed by a summary of approaches to using and evaluating mobile technology for learning in healthcare. Finally, recommendations are made for those developing and using such tools, b...

purpose this study was performed to assess and compare the effects of pilates exercise on flexibility and lumbo-pelvic movement control between the pilates training and control groups. methods a randomized single-blinded controlled design was utilized in the study. forty healthy male and female volunteers (mean age 31.65±6.21 years) were randomly divided into pilates-based training (20 subjects...

Mindfulness training applications for mobile devices are increasing in number and use, but little is known on their effectiveness. Our study (N = 107) is the first to examine the effect of a brief mobile-based mindfulness intervention on the emotional reactions to anticipatory social stress. Results show that the intervention is effective in weakening the increase of negative affect related to ...

background mobile learning affects learners through motivation, cooperation, information sharing, and availability. it provides opportunities for learners, learning providers and universities. this study aimed to examine the role of mobile learning on the academic achievement and self-regulation of paramedical sciences in birjand university of medical sciences. methods this survey is a quasi-ex...

M-learning (mobile learning) can take various forms. We are interested in contextualized M-learning, i.e. the training related to the situation physically or logically localized. Contextualization and pervasivity are important aspects of our approach. We propose in particular MOCOCO principles (Mobility COntextualisation COoperation) using IMERA platform (Mobile Interaction in the Augmented Rea...

Sensor based activity recognition is a critical component of mobile phone based applications aimed at driving detection. Current methodologies consist of hand-engineered features input into discriminative models, and experiments to date have been restricted to small scale studies of O(10) users. Here we show how convolutional neural networks can be used to learn features from raw and spectrogra...