Aims: To Assess Depressive, Anxiety & Stress related symptoms and their correlation with sociodem... more Aims: To Assess Depressive, Anxiety & Stress related symptoms and their correlation with sociodemographic factors amongst recently enrolled medical students. Study Design: Cross sectional study. Place and Duration of Study: Recently enrolled 275 Medical students attending University between June 2022 and September 2022. Methodology: Study conducted among recently enrolled 275 Medical students. After taking their prior informed consent through online form shared through WhatsApp group, they were given to fill online questionnaire to collect sociodemographic factors in English made using PsyToolkit software. It also contains Depression Anxiety Stress Scale (DASS 21), which was used to collect information on depressive, anxiety, and stress related symptoms. Results: Prevalence of depressive symptoms is 68.4%, anxiety symptoms are 78.2% and stress related symptomsis 33.1% among medical students. Depressive, anxiety and stress related symptoms were statistically significantly associated...
in order to identify person uniquely various things are used such as iris, lip print, fingerprint... more in order to identify person uniquely various things are used such as iris, lip print, fingerprint. In this paper we have developed Student Attendance Management System which is used to identify the students uniquely using their Fingerprints. For the development of this system we have used Raspberry Pi 3, Serial 16x2 Serial LCD and Fingerprint Scanner tools. By using this we have developed system which isstoring information of the student, verifying detail and generate report for the future use. During the attendance verification student keep his finger against the scanner and system will find whether the record is existing in the database or not, display proper message. We have also test system with various test case and found good results. By using this system teacher can save their time and increase accuracy in the results. Keywords-Fingerprint,Bio-matric,python,IoT (Internet of Things)
Aims: To Assess Depressive, Anxiety & Stress related symptoms and their correlation with sociodem... more Aims: To Assess Depressive, Anxiety & Stress related symptoms and their correlation with sociodemographic factors amongst recently enrolled medical students. Study Design: Cross sectional study. Place and Duration of Study: Recently enrolled 275 Medical students attending University between June 2022 and September 2022. Methodology: Study conducted among recently enrolled 275 Medical students. After taking their prior informed consent through online form shared through WhatsApp group, they were given to fill online questionnaire to collect sociodemographic factors in English made using PsyToolkit software. It also contains Depression Anxiety Stress Scale (DASS 21), which was used to collect information on depressive, anxiety, and stress related symptoms. Results: Prevalence of depressive symptoms is 68.4%, anxiety symptoms are 78.2% and stress related symptomsis 33.1% among medical students. Depressive, anxiety and stress related symptoms were statistically significantly associated...
in order to identify person uniquely various things are used such as iris, lip print, fingerprint... more in order to identify person uniquely various things are used such as iris, lip print, fingerprint. In this paper we have developed Student Attendance Management System which is used to identify the students uniquely using their Fingerprints. For the development of this system we have used Raspberry Pi 3, Serial 16x2 Serial LCD and Fingerprint Scanner tools. By using this we have developed system which isstoring information of the student, verifying detail and generate report for the future use. During the attendance verification student keep his finger against the scanner and system will find whether the record is existing in the database or not, display proper message. We have also test system with various test case and found good results. By using this system teacher can save their time and increase accuracy in the results. Keywords-Fingerprint,Bio-matric,python,IoT (Internet of Things)
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Papers by Dharmin Shah