ABSTRACT
Agricultural tractor drivers experience a high amplitude of vibration, especially during soil tillage operations. In the past, most research studied vibration exposure with more focus on the vertical (z) axis than on the fore-and-aft (x) and lateral (y) axes. This study examines how rotary soil tillage affects the vibration acceleration and frequency, and the power spectral densities (PSDs) at the seat pan and head along three translational axes in a real-field multiaxis vibration context. Moreover, this study aimed to identify the characteristics of the seat-to-head transmissibility (STHT) response to identifying the most salient resonant frequencies along the x-, y-, and z-axes. Nine (9) male tractor drivers operated the tractor with a mounted rotary tiller throughout the soil tillage process. In the event of a COVID-19 pandemic, and to respect social distancing, this study developed an Internet of Things (IoT) module with the potential to integrate with existing data loggers for online data transmission and to make the experimentation process more effective by removing potential sources of experimenter errors. The raw acceleration data retrieved at the seat pan and the head were utilized to obtain daily exposure (A(8)), PSDs, and STHT along the x-, y-, and z-axes. The vibration energy was found to be dominant along the z-axis than the x- and y-axes. A(8) response among tractor drivers exceeds the exposure action value explicitly stated by Directive 2002/44/EU. PSDs along the x-, y-, and z-axes depicted the low-frequency vibration induced by rotary soil tillage operation. The STHT response exhibited a higher degree of transmissibility along the y- and z-axes when compared with that along the x-axis. The frequency range of 4-7 Hz may plausibly be associated with cognitive impairment in tractor drivers during rotary soil tillage.
ABSTRACT
Movement and the body are an essential aspect of supervision, whether we explicitly work with the body or not. The interest of this book is in the intentional focus on the body and movement and how this can serve the supervisory process. The book presents innovative approaches and reflective accounts of working with the body in supervision. The supervisory interventions open up new ways of seeing, listening and understanding through embodied processes. The authors, all experts in their fields, each bring a wealth of experience and knowledge, raising awareness of the value of working with the body in the supervisory relationship. The hybrid nature of the book reflects the current climate of cross-modality fertility in the world of psychotherapy. The book offers further insights into how embodiment is defined and can be attended to within supervision sessions. It presents with clarity diverse approaches to supervision practice where the body is at the center of facilitating the reflection and containment of supervisees, in both a one-to-one and a group context. In addition, each chapter contains case vignettes illustrating the application of a particular supervision model, whether working in person, online, indoors or outside or in the context of self-supervision. Taking shape in the midst of the Covid-19 pandemic, the book emerges at a time of unprecedented challenges. So, besides reflecting on their specific approach, some contributors offer reflections on the impact of the pandemic on their practice. The ten chapters present a variety of embodied approaches to supervision rooted in a diverse range of practices including body psychotherapy, psychodrama, eco-supervision, dance movement psychotherapy, family therapy and drama therapy. This text will be of value to supervisors and supervisors-in-training, psychotherapists, practitioners seeking supervision and anyone keen to learn more about embodied approaches in supervision. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
With the occurrence of pandemics, such as COVID-19, which lead to social isolation, there is a need for home rehabilitation procedures without the direct supervision of health professionals. The great difficulty of treatment at home is the cost of the conventional equipment and the need for specialized labor to operate it. Thus, this paper aimed to develop serious games to assist health professionals in the physiotherapy of patients with spinal pain for clinical and home applications. Serious games integrate serious aspects such as teaching, rehabilitation, and information with the playful and interactive elements of video games. Despite the positive indication and benefits of physiotherapy for cases of chronic spinal pain, the long treatment time, social isolation due to pandemics, and lack of motivation to use traditional methods are some of the main causes of therapeutic failure. Using Unity 3D (version 2019.4.24f1) software and a personal computer with a webcam, we developed aesthetically pleasing, smooth, and attractive games, while maintaining the essence of seriousness that is required for rehabilitation. The serious games, controlled using OpenPose (version v1.0.0alpha-1.5.0) software, were tested with a healthy volunteer. The findings demonstrated that the proposed games can be used as a playful tool to motivate patients during physiotherapy and to reduce cases of treatment abandonment, including at home.
ABSTRACT
With the outbreak and normal development of COVID-19, the effective detection and recording of body temperature has become a new focus of our attention. At present, there is no complete system to measure temperature, automatic record and specific information at home and abroad. To this end, combined with professional knowledge, our team designed a two-dimensional code scanning and human body temperature automatic recording device with STM32F1 as the core. The device STM32F1 development board is the main control chip. By connecting the WIFI module through the serial port, STM32F1 uses the function of wireless communication. Through the communication protocol, the link between the router and the ESC cloud server of Ali Cloud is utilized. The router or mobile data is transmitted to the user side (APP, applets) according to the specified communication protocol. Inside the development board, the code of each part is written to complete the device integrating code scanning and temperature measurement, which can be displayed and alarm through the node (OLED display screen). This will play a good role in preventing the spread of COVID-19. The system can be used in hospitals, communities, railway stations, shopping malls and many other public places. © 2022 IEEE.
ABSTRACT
In this article it is shown that information is a concept not only useful and used for the communication systems and data operation, but also for the understanding of the matter non-living and living structuration. On this basis it is described the Informational Model of Consciousness and the functions and operability of the Informational System of the Human Body, allowing to define and understand the Cognitive-Sentient Exploration of Reality used as a tool by our predecessors to create some archaic models of the universe and human, remained up to date as references from philosophic point of view, and still operating nowadays in the creative sciences and arts fields in our informational era. Introducing the concept of information-related matter, it was possible to explain the informational processes in human body and eukaryotic/prokaryotic cells, the basic units of life, and to show that in the living entities an informational system operating similarly with that of the human can be identified and defined as Informational System of the Living Structures. The predictive properties of the Cognitive-Sentient Exploration of Reality is nowadays assisted by the predictive big data analysis, helping in various scientific domains where a high quantity of data was accumulated, including in the bioengineering field and human health, particularly for the prediction of the evolution of COVID-19 cases in the world, with examples for Romania, Spain and USA. Multiple applications involving artificial intelligence and the informational models of human and living structures for a healthy society are mentioned, in particular in neurosciences, biosciences and bioengineering. The priority of the Romanian concepts on information and the important contribution of the Romanian informational science oriented to understand the brain functions/operability and applications in biomedical field is highlighted. © 2023, Publishing House of the Romanian Academy. All rights reserved.
ABSTRACT
With the expansion of novel coronavirus pneumonia's influence on the world, people's dependence on infrared thermometer guns is increasing. In order to improve the measurement accuracy of the infrared temperature measuring gun and meet the requirements of rapid and accurate measurement of human body temperature, the core components for the infrared temperature measuring gun are developed and prepared in this paper. The film fogging phenomenon caused by the anisotropy of metal germanium and semiconductor properties is analysed and solved by measuring the atomic force microscope image and infrared spectrum of the film, the 5.5-micron infrared filter with high transmittance and good film quality was prepared by electron beam evaporation, resistance evaporation and ion source assisted deposition. © 2022 IEEE.
ABSTRACT
With the onset of the Covid-19 pandemic, the health of people has become more of a concern. With this, temperature measurement has gained even more significance. Non-contact thermometers give the advantage of being used in extreme infectious environments, lightweight, repeatability, and many more. Thermal screening helps in identifying people with a high body temperature who are potentially at risk. This research work focuses on the non-contact human body temperature measurement with the assistance of a robotic arm. The robotic arm is used to dispense the power of mobility to the system. The robotic arm, interfaced with Raspberry PI, is used to dispense the power of mobility to the system. Non-contact infrared temperature sensor, MLX90614, is interfaced with Arduino Nano and is used to measure human body temperature. The temperature obtained from the thermal gun is fed to the serial monitor app in the mobile that is connected through the USB cable to Arduino Nano. The temperature sensor's data is displayed on a mobile phone in Celsius unit. The format in which the sensor data is displayed is programmed using Arduino IDE. © 2022 IEEE
ABSTRACT
Now a days, the merciless covid-19 is threatening the world in everywhere. And, people are instructed to protect themselves from the virus infections. So, our proposed work will monitor the area around the person with the help of multiprocessor. In this method, particular area's temperature will be monitored by the advanced multiprocessor and the moisture level of the room around the person checked/ verified. And, spraying sanitizer will sanitize automatically, if it is necessary. Moreover, this system reduces the man power and protects the environment from the affects of covid-19. With the use of MSP, we can monitor the temperature and clean up mechanism will run automatically. From this method, we will permit the secured and sanitized people into the crowd places such as stock market, shops and stations. The vital recognition of this method is that fully automated procedure. Hence, it will replace physical labor and save time and also control the virus from spreading one to one another. © 2022 IEEE.
ABSTRACT
In this paper we consider the effect of heliogeophysical activity on the COVID-19 epidemic associated with the spread of the SARS-CoV-2 coronavirus in Moscow. An analysis of official data on the course of the pandemic has provided evidence of the effect of heliogeophysical activity on the spread of an infectious disease. The pandemic arose during the winter when solar activity was minimal and ultraviolet radiation was at its lowest. The study showed a significant relation between the infectious process and geomagnetic activity: periods of outbreaks in the number of infections and deaths correlated with periods of a decrease in geomagnetic activity lasting several months. The impact of magnetospheric storms and substorms on the human body during a pandemic is also considered. It is shown that, during the minimum of solar activity during periods of geomagnetic disturbances lasting from one to several days, both the number of infections and the number of deaths additionally and statistically significantly increase. Evidence of a direct or indirect effect of solar activity on the occurrence of outbreaks of infectious diseases is important from the viewpoint of understanding the emergence and development of epidemics.
ABSTRACT
Introduction: During COVID-19, health students should learn human anatomy online. By learning online, students have difficulty understanding the subject material. This study aims to explore the experiences of health students learning the anatomy of the human body during the COVID-19 pandemic. Methods: This study used a qualitative study with a phenomenological study approach. This study's participants were seven health students from two private universities in Pekanbaru city, which were taken by purposive sampling. Data collection used in-depth interviews and was analyzed using the phenomenological method developed by Colaizzi. Results: Researchers found five main themes, namely the learning process during the COVID-19 pandemic, obstacles to the online learning process, obstacles for students to learn the anatomy of the human body during the COVID-19 pandemic, student efforts to find references, and expectations of students learning anatomy during the COVID-19 pandemic. Conclusion: Students experience several obstacles during participating in online learning while the pandemic occurs, especially in understanding the anatomy of the human body. Students make several efforts to add learning resources and hope there will be digital learning applications with animation and image features and detailed explanations of human anatomy. This study recommends that educational institutions use digital applications to support learning to make it easier for students to understand the anatomy of the human body. © 2022 Academia Nacional de Medicina. All rights reserved.
ABSTRACT
During the COVID-19 pandemic, wearing masks in public spaces has become a protective strategy. Field tests and questionnaire surveys were carried out at a university library in Guangzhou, China, during June 2021 and January 2022. The indoor environmental parameters were observed, thermal sensation votes of students on various environmental parameters were collected, symptoms of students wearing masks were quantified, and the appropriate amount of time to wear masks was established. To identify acceptable and comfortable temperature ranges, the relationship between thermal sensation and thermal index was investigated. During summer and winter, people wearing masks are symptomatic for a certain duration. The most frequently voted symptom was facial heat (62.7 % and 54.6 % during summer and winter, respectively), followed by dyspnea. During summer, more than 80 % of the participants subjects were uncomfortable and showed some symptoms after wearing masks for more than 2 h (3 h during winter). In the summer air conditioning environment in Guangzhou, the neutral Top was 26.4 °C, and the comfortable Top range was 25.1–27.7 °C. Under the natural ventilation environment in winter, the neutral Top was 20.5 °C, and the comfortable Top range was 18.5–22.5 °C. This study may provide guidance for indoor office work and learning to wear masks in Guangzhou. © 2022 Elsevier Ltd
ABSTRACT
This study aims to investigate the correlation between psychological distress and weight change in Malaysian young adults after the pandemic-led lockdowns. Socio-demographics, body height, body weight during the Movement Control Order 3.0 (MCO 3.0), and post-lockdown body weight (as of January 2022) were self-reported by the young adults. Psychological distress was assessed using a validated 21-item Depression, Anxiety, and Stress Scale (DASS-21). Of the 536 young adults, 54.1% experienced mild to extremely severe anxiety, 47.0% suffered mild to extremely severe depression, and 30.0% experienced mild to extremely severe stress in the post-lockdown pandemic phase. In reference to absolute weight change, 50.6% of the young adults gained weight due to confinement, with an average weight gain of 3.41 ± 2.49 kg. Conversely, 32.0% of the young adults had a lighter weight during the MCO 3.0 than before, with an average weight loss of 3.96 ± 2.76 kg. Additionally, the trajectory in body weight was also expressed in relative weight change. Findings revealed that 23.1% of the young adults gained weight in the post-lockdown pandemic phase, with an average relative weight gain of 9.04 ± 3.90%. On the contrary, approximately one-fifth (17.4%) of the young adults lost weight, with an average relative weight loss of −8.57 ± 2.79%. There were no significant correlations (p> 0.05) between depression, anxiety, and stress with absolute or relative weight change, even after controlling for the socio-demographic variation among young adults. The federal government of Malaysia should take necessary actions to alleviate the psychological impact of the COVID-19 pandemic and reiterate the importance of sustaining a healthy body weight in young adults.
ABSTRACT
The world has suffered enough in the aspect of COVID-19. From the year 2019, all we have in our hearts is a constant fear and terror of becoming prey to this deadly virus that has almost taken five lakh and twenty-five thousand lives to date within India, as the statistics show. The way to ensure that you maintain proper public hygiene is by ensuring that you wear masks in public places. There have been many algorithms that provide quicker results. We have tested our model in K-Nearest Neighbors (KNN), Support Vector Machine (SVM) algorithms and using deep learning technique Convolution Neural Networks (CNN). Comparing others, CNN provides more accuracy and has a shorter latency. Thus, we have implemented human face mask detector using CNN. The body temperature of the individual entering a room is monitored by the support of myDAQ, NI Instruments. If the body temperature is higher than 99F, then the person entering the space is not permitted inside. We have designed a device that monitors the temperature of the person entering the room along with the monitoring of face masks using the webcam. © 2022 IEEE.
ABSTRACT
In the United States, the threat of COVID-19 as a public health problem was impossible to separate from the financial threat. From the start, the virus's circulation through human bodies intermingled with all the ways human lives had been defined by neoliberalism's economizing rationality. To unpack the convergence of the pandemic with neoliberal rationality, this article examines the financial advisory discourse produced by credit and fintech companies at the start of the pandemic, focusing on Equifax, Experian, and Mint. This messaging was replete with expressions of care, along with promises of institutional assistance. However, reading further it became clear the companies offered mostly financial self-help advice. The immediate turn to this type of messaging suggested how much the financial system depended on a collective continuation of the individual's sense of moral responsibility for financial self-management and creditworthiness, and especially diligent debt-payment.Alternate :Aux États-Unis la menace de la COVID-19 comme problème de santé publique était indissociable de la menace financière. Dès le début de la pandémie, la circulation du virus dans les corps humains s'est interposée avec toutes les façons dont les vies humaines ont été définies par la rationalité économisante du néolibéralisme. Pour éclaircir la convergence de la pandémie avec la rationalité néolibérale, le présent article examine les messages d'avis financiers produits par les entreprises de crédit et de technologie financière pendant la pandémie, notamment Equifax, Experian et Mint. Ces messages étaient emplis d'expression de soutien, avec des promesses d'aide institutionnelle. Cependant, une lecture plus attentive permet de voir que ces entreprises ont surtout offert des conseils visant l'auto-assistance financière. Le recours immédiat à ce type de message indique le degré auquel le système financier dépend sur la continuation collective du sens de responsabilité morale des personnes pour gérer eux-mêmes leurs finances et leur capacité de crédit, et particulièrement pour continuer à payer leurs dettes.
ABSTRACT
The human voice, which is a natural and unique instrument, has a fundamental importance in expressing ourselves in life, both in communication, in the arts of oral and the art of singing. Therefore, using a person's vocal potential in its best, using the voice in its natural state and preserving vocal health are extremely sensitive and important issues. Therefore, the best realization of the objectives determined in voice training depends on the quality of the trainer and the training process. In the Voice Education course under the Music Teaching Undergraduate Program, one of the goals is to teach the music teacher candidate to use their voice, which is their most basic and natural instrument, in the best ways of speaking and singing, while also teaching about the protection of vocal health and preserving and improving the voice in its natural state. A music teacher candidate who receives such qualified voice education is able to apply what their learning in their practical life as knowledge and behavior, while using their own voice correctly and setting a good example for their students, they will also train their students well to protect their vocal health. Therefore, adequate and qualified education should be given to music teacher candidates at the level of knowledge and practice in the field of voice education. Due to the COVID-19 pandemic, voice education lessons in the Music Teaching Undergraduate Program have been taught with the distance education model for a while. Unfortunately, it is concluded that voice training lessons based on practice are not suitable for online lessons with distance education. In the light of this view, the purpose of this research is to determine the suitability of the distance education model for the voice education course in the context of the opinions of the music teacher candidates. The results of this research, in which the scanning model and qualitative research method were used, indicate that the distance education model is not suitable for the voice education course, being an applied course.
ABSTRACT
During the COVID-19 pandemic, wearing masks in public spaces has become a protective strategy. Field tests and questionnaire surveys were carried out at a university library in Guangzhou, China, during June 2021 and January 2022. The indoor environmental parameters were observed, thermal sensation votes of students on various environmental parameters were collected, symptoms of students wearing masks were quantified, and the appropriate amount of time to wear masks was established. To identify acceptable and comfortable temperature ranges, the relationship between thermal sensation and thermal index was investigated. During summer and winter, people wearing masks are symptomatic for a certain duration. The most frequently voted symptom was facial heat (62.7% and 54.6% during summer and winter, respectively), followed by dyspnea. During summer, more than 80% of the participants subjects were uncomfortable and showed some symptoms after wearing masks for more than 2 h (3 h during winter). In the summer air conditioning environment in Guangzhou, the neutral Top was 26.4 °C, and the comfortable Top range was 25.1–27.7 °C. Under the natural ventilation environment in winter, the neutral Top was 20.5 °C, and the comfortable Top range was 18.5–22.5 °C. This study may provide guidance for indoor office work and learning to wear masks in Guangzhou.
ABSTRACT
The COVID-19 pandemic has significantly changed people's lifestyles, and wearing surgical masks in outdoor public spaces has become commonplace. However, few studies have explored the impact of wearing masks on outdoor thermal comfort in different seasons. From May 2021 to February 2022, a series of longitudinal experiments were conducted in Xiamen, China to examine the effect of wearing surgical masks on outdoor thermal comfort. Forty-two participants took part in the experiments with and without masks. During the experiments, the thermal perceptions of the subjects and environmental thermal parameters were collected. Differences in outdoor thermal comfort between subjects wearing masks and those not wearing masks were determined in summer, autumn, and winter. Results showed that 1) the subjects wearing masks had lower neutral temperatures, and this difference was particularly pronounced in summer and exacerbated by walking; 2) in warm environments, masks reduced thermal comfort, and discomfort associated with masks was worse when walking than when sitting; 3) wearing masks significantly worsened facial comfort and increased chest discomfort, as summer turned to winter, the impact of masks on facial comfort decreased; 4) radiation and air temperature were the environmental parameters with the greatest impact on outdoor thermal sensation. Subjects who wore masks preferred lower temperatures, radiation, and humidity, and higher wind speeds.
ABSTRACT
Since March 11, 2020, the WHO has announced a global pandemic due to COVID-19, triggered by the serious, intense respiratory disease coronavirus-2 (SARS-CoV-2). Therefore, the necessity to design a temperature sensor-based breathing monitoring system increased. In this work, a new device is designed to detect the temperature of the exhaled air outside the human body is subject to the techniques of the Internet of Things and respiratory monitoring applications. These readings are recorded based on the patient's condition diagnosed. In addition, the new device can monitor and record the change in the patient's temperature by using the Internet of Medical Think application. As a result, this device would be able to trace changes in body temperature accompanied by the symptoms of the Covid-19 infection. © 2022 American Institute of Physics Inc.. All rights reserved.
ABSTRACT
Although children's heat-related mortality risk is lower than elderly's, children are physiologically susceptible to heat exposure and a substantial proportion of ambulance car visits are expected to be occupied by children. This burden would be critical under COVID-19 turmoil, which has already seriously damaged the emergency medical system. Heat impact on children begins before birth;placental abruption, premature rupture of membrane, preterm delivery, stillbirth, low birth weight, and congenital cataract are reported to be related to heat exposure. After birth, emergency visits are related to heat exposure as well. The emergency visits were caused by heat-related illness, general symptoms, infectious diseases, injury, and respiratory diseases. The relation for heatstroke emergency visits was hockey stick type, and higher school-age children had a much higher risk, compared with lower age group children. Mortality risk, mainly external causes, was also associated with heat, but because of the small number of daily deaths, the results were not consistent. A larger multicity study is necessary for robust evidence.
ABSTRACT
The need for healthcare services is growing, particularly in light of the COVID-19 epidemic's convoluted trajectory. This causes overcrowding in medical facilities, making it difficult to manage, treat, and monitor patients' health. Therefore, a method to remotely observe the patient's behavior is required, to aid in early warning and treatment, and to reduce the need for hospitalization for patients with minor diseases. This paper proposes a new real-time smart camera system to monitor, recognize and warn the patient's abnormal actions remotely with reasonable cost and easy to deploy in practice. The key benefit of the proposed methods is that patient actions may be detected without the usage of ambient sensors by employing pictures from a regular video camera. It carries out the detection using high-fidelity human body pose tracking with MediaPipe Pose. Then, the Raspberry Pi 4 device and the LSTM network are used for remote monitoring and real-time classification of patient actions. The test dataset is built from reality and reuses the existing datasets. Our system has been evaluated and tested in practice with over 96.84% accuracy, runs at over 30 frames per second, suitable for real-time execution on mobile devices with limited hardware configuration.