Search

Well-being in academia is obviously tied to levels of burnout experienced by academics. Why are these levels increasing and how is their increase related to the marketization and neoliberalisation of universities? What should we, as academics, do in order to counter this trend and improve both our well-being and that of our students as well as society? These questions are addressed through experimental writing, employing techniques that are unusual for linguistics, namely autoethnography, in order to reflect on academic careers and the problems of mental health and harassment experienced by PhD students. Drawing inspiration from “transformative praxis”, this paper describes the approach of social justice teaching and conscientization. Focusing in particular on the theme of environmental education, the paper reflects on how introducing social justice teaching in academic courses is likely to prove helpful to prevent burnout and dissatisfaction. The second part of the paper describes the author’s experience with university courses about ecolinguistics and the feedback received from students, including a selection of their comments.

Copyright of Sante Mentale au Quebec is the property of Revue Sante Mentale au Quebec 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.)

Biomaterials with intelligence can respond to variations in physiological factors. Additionally, they react to external stimuli that influence many attributes of allopathic drugs (technological advances medicine). Smart biomaterials are employed in a variety of therapies to enhance the care of different illnesses. Bio-based smart materials can be molded into a variety of soft designs, such as textiles, hydrogel, membranes film, aerogels, nanofibers, and fabrics, which are advantageous for wearable sensors when compared to polymers generated from petroleum. In this paper, sleep patterns are examined closely in relation to mental health, with a particular focus on bio-signal processing in identifying sleep-related disorders. According to the study, sleep stage analysis is critical to improving therapeutic outcomes for individuals suffering from depression due to its physiological influence. Biologically compatible smart devices enhance advanced biological capture techniques such as electroencephalography (EEG), electrocardiogram (ECG), and electromyography (EMG). As a result, these features increase sensor reliability, accuracy and reliability, ensuring high signal fidelity. The use of biocompatible smart-material based devices with artificial intelligence provides a revolutionary approach to the diagnosis of complex interconnected disorders of mental illness, sleep disorders and schizophrenia, including neural changes and its recurrence to identify sleep phases and identify trauma-related disturbances, and sophisticated machine learning provides in-depth insights.