Smartphone-based diagnostics for biosensing infectious human pathogens.

The widespread usage of smartphones has made accessing vast troves of data easier for everyone. Smartphones are powerful, handy, and easy to operate, making them a valuable tool for improving public health through diagnostics. When combined with other devices and sensors, smartphones have shown potential for detecting, visualizing, collecting, and transferring data, enabling rapid disease diagnosis. In resource-limited settings, the user-friendly operating system of smartphones allows them to function as a point-of-care platform for healthcare and disease diagnosis. Herein, we critically reviewed the smartphone-based biosensors for the diagnosis and detection of diseases caused by infectious human pathogens, such as deadly viruses, bacteria, and fungi. These biosensors use several analytical sensing methods, including microscopic imaging, instrumental interface, colorimetric, fluorescence, and electrochemical biosensors. We have discussed the diverse diagnosis strategies and analytical performances of smartphone-based detection systems in identifying infectious human pathogens, along with future perspectives.

ICT in higher education: learning as usual or a “new normal”?

Purpose This study examines students' perspectives towards the utilization of information and communication technology (ICT), during this sudden shift to remote online education due to COVID-19 worldwide pandemic. The aim is to identify the predictors of learning outcomes and understand if they are here to exist as the new normal. Design/methodology/approach The independent variable motivation, managing emotion, and acceptability of ICT, are examined as potential determinants of perceived learning outcomes in remote online education. An aggregate of 220 responses from the students of management graduates in higher education were collected to examine the predictors of learning outcomes using regression model in SPSS software. In addition, ANOVA technique was used to compare and assess managing emotion, motivation, and ICT acceptability of male and female students in remote online education. Findings Results indicate that motivation, managing emotion and acceptability of ICT are significant predictors, which affect students' perceived learning outcomes. Furthermore, the study reveals that managing emotions and motivation levels of female students are higher than male students in remote online education. Practical implications Research identifies the antecedents of student learning outcomes in management education. These finding may be useful for educators and management to understand the factors influencing students' learning outcomes and to develop various modules to make remote online learning effective. Originality/value This research contributes significantly in investigating the antecedents of students learning outcome and provide insights regarding student's perspective towards sudden shift to remote online education due to COVID-19 worldwide pandemic.