ABSTRACT
Objective: To assess the sleep quality among medical students, comparing their sleep cycles during physical and online studies along with other factors associated with sleep patterns. Study Design: Cross-sectional Questionnaire based survey Place and Duration of Study: Department of Community Medicine, HITEC Institute of Medical Sciences Taxila from 1st January 2020 to 31st March 2020 Methodology: One hundred and forty seven students were surveyed in a time period of 1 month. The questionnaire included PSQI Pittsburgh Sleep Quality Index and other clinically validated questions. Students with known sleeping disorders were excluded from this survey. Result(s): There were 81 (55.1%) females and 65 (44.2%) males with mean age 20+/-1.4 years. Out of these 94(63.9%) were classified as "Poor Sleepers" and only 53 (36.1%) were "Good Sleepers". Poor sleep quality was associated with female gender (p<0.05), day-scholar residence status (p<0.054), excessive time required to sleep (p<0.00), excessive screen time usage (p<0.007), increased hours of study (p<0.089), experiencing trouble while driving, eating and socializing (p<0.002), lack of enthusiasm (p<0.000), unsatisfactory daily activities (p<0.000) and poor daytime alertness levels (p<0.360). 104 (70.7%) were aware of the effects of melatonin on sleep, only 51 (34.7%) admitted to have used coffee to stay awake at night. 98 (66.7%) subjects were pre-exam workers, 95 (64.6%) admitted not being able to wake up easily in the morning. Conclusion(s): The students and hostelites that used less screen time slept better. Excessive daytime tiredness was also a result of poor sleeping habits. Students who studied for longer periods of time and had difficulty waking up in the morning slept poorly. Poor sleepers also find it difficult to interact and are often unambitious about performing their daily menial tasks, as well as displeased with their daily activities. As a matter of fact, we deduce that sleep quality has unanticipated consequences for medical students' social and mental health.Copyright © 2023 Lahore Medical And Dental College. All rights reserved.
ABSTRACT
To evaluate the online presence of wildlife crime and the public's reaction to these crimes, we collected data on species, locations, animal status, and motives of wildlife crime depicted on nine Pakistani Facebook pages and eight groups from January 2016 to May 2021. We categorized reactions to images depicting birds, mammals, and reptiles and applied generalized linear models to the total number of reactions on posts. In 594 relevant posts, we identified 10,644 animals of 138 species. Common Krait (Bungarus caeruleus) had the highest number of posts, followed by Grey Francolin (Ortygornis pondicerianus) and Black Francolin (Francolinus francolinus). The number of posts has generally increased, particularly after the Covid-19 lockdown in March 2020. Almost 66 % of the posts showed animals being killed, 27 % were captured with no visible signs of torture, and the rest showed visible signs of torture in captivity. The most common reason for wildlife crimes was illegal hunting, followed by fear and illegal trade. Most victims of illegal hunting were birds, while reptiles were predominantly killed for fear. However, illegal trade was affecting all three classes of animals. Killed or tortured animals received more reactions than non-tortured animals, as well as more comments both against and in favor of the crime. Crimes against reptiles received more pro-crime comments than birds and mammals. Our results reflect the importance of social media to monitor wildlife crimes. Urgent actions are necessary by the relevant authorities to improve management and strengthen the response of law enforcement to wildlife crime. © 2023 The Authors
ABSTRACT
In the Covid 19 pandemic, education shifted from offline to online, impacting a lot of technical education. The online theory courses were conducted effectively, but there were a lot of problems the faculty faced in conducting laboratory courses. This problem includes an ineffective demonstration of lab experiments, difficulty in time management, monitoring, and assessment, inability to tackle the issues of various students' learning styles, and unavailability of a common platform for online lab conduction. In technical education, the lab course plays a vital role. We found that a virtual laboratory is the best solution to address these issues. Many virtual labs are available for programming courses but need a customized Virtual lab for core courses. In this paper, we have carried out 16 surveys through Google forms to get inputs/feedback from faculties and students to get difficulties in online lab conduction and how we can make the best use of virtual labs online to conduct the lab experiment online mode. We designed and created the virtual laboratory for the Computer Networks Lab course with various learning materials, including theory, simulation videos, pre-test & post-test, and the procedure to conduct the lab experiment, which benefited the students. The implemented virtual lab found more effective. We found the significant impact on the result of CN Lab after using the customized virtual lab for CN Lab course. © 2022, Rajarambapu Institute Of Technology. All rights reserved.
ABSTRACT
Remote health monitoring is one topic that needs a lot of attention due to the rising number of pandemics. Body fever and low blood oxygen saturation level is clear symptom of COVID-19. Different data display and transmission systems can make monitoring vital indicators such as body temperature, pulse oximeter and heart rate. In this research, thermometry and pulse oximetry have been designed and built with an online monitoring system based on Android. The MAX30205 thermometer sensor was utilized in this study to detect body temperature with high precision. Also, the MAX30102 module was used to detect blood oxygen saturation and heart rate with proper accuracy. The sensors were controlled by an ESP32 microcontroller on the TTGO board, and the measured temperature, blood oxygen saturation level and heart rate were transmitted through Bluetooth to Android devices. These three parameters can be assessed long distances using these circuit and application designs in pandemic conditions. The device's performance was tested successfully and compared with the results of a reference thermometer and finger pulse oximeter. © 2022 IEEE.
ABSTRACT
The physical therapy generally requires direct assistance from therapists continuously, however, the time is very limited. Moreover, the social distancing policy in the COVID-19 pandemic period made the patient could not come to rehabilitation center for physical therapy. Remote physical therapy is suggested to reduce dependency of therapist for conducting the physical therapy. However, there is few information about the necessary parameters in lower limb monitoring of post-stroke patient. Therefore, in this paper, a review for designing a low-cost online homecare physical therapy monitoring system is proposed. Article finding had been done using online search engine Google Scholars to conclude the design of the online monitoring system. Several keywords had been used, such as “online stroke rehabilitation monitoring,” “stroke rehabilitation parameters,” “stroke monitoring Internet of Things,” and “lower limb stroke monitoring.” The results show that the necessary monitor parameters are lower limb kinematics and dynamics, which can be complimented by bio-signal data, such as EMG. The lower limb monitoring system can use IMU, muscle sensor, and footswitches to measure the necessary parameters. IMU measures the lower limb kinematics because it provides wide range of measurement. Muscle sensor, which compatible to microcontroller, measures the EMG. Lastly, the footswitches detect the gait phases, which classify the measured data for more in-depth analysis. The mentioned sensors are cheap and available in the online market of Indonesia, which is suitable to realize a low-cost lower limb monitoring system. The research finding also suggests quick and accurate feedback mechanism for improving the training quality, which the feedback is combination of therapist opinion and artificial intelligence prediction. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The outbreak of Covid-19 throughout the world caught the whole population unprepared And one of the most common problems includes the availability of medicines. People in need weren't able to get their medical supplies even after visiting number of shops. Hence a location service that helps find the nearest medical store that will display required medicines can solve this problem. This service is widely sourced for everyone to use. The data from the medical stores displays the list of medicines and their availability. A flexible reservation system is implemented to book medicines for immediate purchase and can be collected within few minutes. A location reminder feature is provided in cases where the medicines with less availability are in your vicinity. In this paper, main research on review topics that deals with reservation systems, location finder, online monitoring of medicinal drugs, algorithms to find the shortest distance between the source and the destination is summarized. © 2022 IEEE.
ABSTRACT
BACKGROUND: A novel digital platform, named STORK, was developed in the COVID-19 pandemic when clinic visits were restricted. A study of its clinical use during the pandemic was conducted. The study aims to advance the state of the art in monitoring and care of pregnancies complicated with gestational diabetes mellitus (GDM) via online collaboration between patients and care providers. METHODS: This study involved 31 pregnant women diagnosed with GDM and 5 physicians. Statistical comparisons were made in clinic-visit frequency and adverse outcomes between the STORK group and a historical control group of 32 women, compatible in size, demographics, anthropometrics and medical history. RESULTS: The average number of submitted patient measurements per day was 3.6±0.4. The average number of clinic visits was 2.9±0.7 for the STORK group vs. 4.1±1.1 for the control group (p<0.05). The number of neonatal macrosomia cases was 2 for the STORK group vs. 3 for the control group (p>0.05); no other adverse incidents. CONCLUSIONS: The patient compliance with the pilot use of STORK was high and the average number of prenatal visits was reduced. The results suggest the general feasibility to reduce the average number of clinic visits and cost, with enhanced monitoring, case-specific adaptation, assessment and care management via timely online collaboration.