E-Learning Development Based on Internet of Things and Blockchain Technology during COVID-19 Pandemic

The suspension of institutions around the world in early 2020 due to the COVID-19 virus did not stop the learning process. E-learning concepts and digital technologies enable students to learn from a safe distance while continuing their educational pursuits. Currently, the Internet of Things (IoT) is one of the most rapidly increasing technologies in today’s digital world; and e-learning is one of the most powerful learning methods available. In today’s world, smart devices and new technologies assist teachers in concentrating on new models of student learning while avoiding time wastage. By examining the characteristics of the Internet of Things and the challenges that exist in the field of e-learning, the potential functions, benefits, and advancements of utilizing the Internet of Things in online education are identified and discussed. This article examines the existing and future condition of the Internet of Things world as it pertains to the topic of education and sophisticated capabilities available through the Internet of Things that enable the application of e-learning after an architecture has been designed. Students’ pulse rates, brain waves, and skin resistance are measured in real time by a collection of IoT sensors, including cameras, microphones, and wearable gadgets. By utilizing the proposed architecture, universities can change their distance learning tactics to maximize resources and boost efficiency without changing their overall academic activities. According to the study’s findings, e-learning has a favorable and statistically significant impact on students’ flexibility, learning experience, educational productivity, and overall quality of education.

Analysis of the pile skin resistance formation

This paper introduces a method based on a static load test which is aimed to verify the mechanism of the piles soil–skin interaction. The authors base their analysis on detailed data from static load test with extensometers on CFA piles. The main goal of the research is to determine the proper method of examining how the skin of the pile and soil interacts and apply it to practical engineering practice. As the first stage of the research is limited to the available set of piles, the authors make assumptions that will be verified on later stages of research as more data become available. The authors attempt to formulate the boundary conditions for the formation of pile skin resistance formation using mathematical physics equations to describe the phenomena. Current research proves that it is possible, with the suitable for practical engineering calculations, to describe soil–pile interaction mechanism based on static load test results. Experimental research indicated that there is possibility, for practical engineering calculations purposes, to assume that skin resistance of the pile due to depth can be presented with linear graph. The description is made upon extensometer results, but is meant to be appropriate with the standard static load test results, which provide load–settlement curve of the pile.

Design of Pulse Wave Feature Vigilance Detection System Based on Computer Software Technology

In this paper, the pulse wave feature alertness detection system based on computer software technology is researched. First, the computer software technology designs the alertness detection system and then conducts the system alertness test experiment using a system that can not affect the subjects’ alertness, a portable multichannel physiological signal acquisition system that measures the subjects’ ECG signal, skin resistance, blood oxygen saturation, and other physiological signals in the case of a degree task experiment. The multichannel physiological signal acquisition system collects the signals during the vigilance task experiment. At the same time, before, during, and after the experiment, subjects are required to fill in the Stanford Sleepiness Scale (SSS) and evaluate the level of individual alertness through subjective self-evaluation. The relevant experimental data show that, 10 minutes before the experiment, the pulse amplitude increased rapidly, then slowly decreased at the beginning, reached a peak in about 25 minutes, and then began to rise.

Effect of Yoga Pranayama (Breathing Techniques) on the Vagus Nerve in Countering Major Depression and Related Ailments; A Literature Review

Major depressive disorder (MDD) is a major psychiatric condition associated with functional impairment and high levels of morbidity and mortality (M. Li, 2015) (Lohoff, 2010). It is characterized by mode alterations, diminished interests, impaired cognitive function and vegetative symptoms such as disturbed sleep and appetite changes (Christian Otte, 2016) are common patients suffering from MDD. Our nervous system is built around the balance and harmony of two opposing activities (Laurie Kelly McCorry, 2007). 1. The sympathetic nervous system (SNS) is associated with the fight or flight response. 2. The parasympathetic nervous system (PNS) is associated with relaxation, digestion, and regeneration. These two systems are meant to work in rhythmic alternation, a process that supports healthy rhythms of alertness and restfulness that facilitate physical and mental health (Shah, 2018). In order to treat ailments such as MDD, many techniques are used to stimulate the vagus nerve for better functioning (Bruno Bonaz, 2018). Different forms of pranayama tends to activate different branches of the autonomic nervous system, this causes positive changes to the oxygen consumption, metabolism and skin resistance. The literature evidence gathered states that the mechanisms of the vagul nerve stimulation helps in the parasympathetic activation in an event of stress depression and major depression. When the pranayam is mixed with certain yogic asana’s while controlling the breath, it seems to have a better countering of MDD and related disorders.

Practice-Oriented Validation of Embedded Beam Formulations in Geotechnical Engineering

The numerical analysis of many geotechnical problems involves a high number of structural elements, leading to extensive modelling and computational effort. Due to its exceptional ability to circumvent these obstacles, the embedded beam element (EB), though originally intended for the modelling of micropiles, has become increasingly popular in computational geotechnics. Recent research effort has paved the way to the embedded beam element with interaction surface (EB-I), an extension of the EB. The EB-I renders soil–structure interaction along an interaction surface rather than the centreline, making it theoretically applicable to any engineering application where beam-type elements interact with solid elements. At present, in-depth knowledge about relative merits, compared to the EB, is still in demand. Subsequently, numerical analysis are carried out using both embedded beam formulations to model deep foundation elements. The credibility of predicted results is assessed based on a comprehensive comparison with the well-established standard FE approach. In all cases considered, the EB-I proves clearly superior in terms of mesh sensitivity, mobilization of skin-resistance, and predicted soil displacements. Special care must be taken when using embedded beam formulations for the modelling of composite structures.

Decoding the coupling between the brain and skin reactions in auditory stimulation by information-based analysis of EEG and GSR signals

BACKGROUND: The analysis of brain activity in different conditions is an important research area in neuroscience. OBJECTIVE: This paper analyzed the correlation between the brain and skin activities in rest and stimulations by information-based analysis of electroencephalogram (EEG) and galvanic skin resistance (GSR) signals. METHODS: We recorded EEG and GSR signals of eleven subjects during rest and auditory stimulations using three pieces of music that were differentiated based on their complexity. Then, we calculated the Shannon entropy of these signals to quantify their information contents. RESULTS: The results showed that music with greater complexity has a more significant effect on altering the information contents of EEG and GSR signals. We also found a strong correlation (r= 0.9682) among the variations of the information contents of EEG and GSR signals. Therefore, the activities of the skin and brain are correlated in different conditions. CONCLUSION: This analysis technique can be utilized to evaluate the correlation among the activities of various organs versus brain activity in different conditions.

Physiologic Change in Hypoglycemia in Diabetes Patients in Rajavithi Hospital Using Non-Invasive Hypoglycemic Warning Wearable Devices: A Pilot Study

Background: Hypoglycemic events are serious side effects which can occur when intensive glycemic control is being used to prevent vascular complications in diabetic patients. A wearable device which warns of impending hypoglycemia may help to achieve better control of diabetes. Objective: To identify physiologic changes during hypoglycemic events in diabetic patients using a wearable device. Materials and Methods: This was a pilot study of 28 glycemic events from 10 participants who used wearable hypoglycemic devices with Continuous Glucose Monitors (CGMs) in order to confirm hypoglycemic events during the study period. Variations in skin body temperature, pulse rate and skin resistance were also analysed. Data from the wearable hypoglycemic devices were collected and compared with those from CGMs to find significant variables during the hypoglycemic events. Results: Decrement of body temperature (Min BT-Mode BT) was greater in the hypoglycemic event group (-1.73±2.07 compared to -0.07±0.51in the non-hypoglycemic event group). Increment of heart rate (Max HR-Mode HR) was also higher in the hypoglycemic event group at 30.57±22.08 compared to 13.79±20.04. Decrement of skin resistance (Min SR-Mode SR) was -50.89±44.95 in hypoglycemic event group compared to -7.47±22.60 in non-hypoglycemic event group. All these physiologic changes were statistically significant with p-values= 0.015, 0.046 and 0.002 respectively. Conclusion: This is the first time a scoring system for hypoglycemic response from wearable devices has been used in Rajavithi Hospital.

PENYULUHAN KESEHATAN TENTANG PENGGUNAAN ALAT PELINDUNG DIRI UNTUK MENCEGAH PENYAKIT DERMATITIS PADA NELAYAN

Fishermen are prone to skin diseases due to the influence of sunlight where the splash of sea air on the skin can cause itching due to its thickness by the salt pulling from the skin. sea ​​water is a cause of dermatitis with primary stimulation properties. Occupational contact dermatitis that occurs on the hands and the incidence rate for dermatitis varies from 2% to 10%. It is estimated that 5% to 7% of people with dermatitis develop chronic and 2% to 4% of whom are difficult to cure topical treatment. This method of community service consists of two stages, namely the first stage is planning the activities to be carried out, these activities are indications of needs, indications of weaknesses and solutions that will be carried out. The second stage is the implementation of which the village head has obtained permission to carry out the activity, the implementation of the activity is carried out for two days. Based on the results of community service, it was found that 80 fishermen 31 people (38.8%) had no complaints of dermatitis, 49 people (61.2%) had complaints of dermatitis. This can enable fishermen to deal with complaints of dermatitis because working as a fisherman requires that a person is often exposed directly to open weather and the irritant agent will directly damage the skin by changing the skin's pH, reacting with protein (denaturation), extracting fat from the skin layer or by reducing it. skin resistance and skin disorders are caused because the body is too long in a wet state and then it is under the sun after which it returns in a wet condition. Meanwhile, fishermen who do not experience complaints of dermatitis, fishermen who have good immunity