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Undergraduate medical education (UGME) is the time when doctors' attitudes toward patients and their profession are formed. It is also a period of tremendous stress for future physicians, including high levels of negative stress. Such stress can be maladaptive and may sow the seeds of burnout and long-term dissatisfaction. We believe that the introduction of yoga practice in the 1st year of medical school could ameliorate the negative stressors to which undergraduate medical students are exposed. Although there are some studies in the U.S. and internationally that support the use of Yoga in UGME, they do not provide sufficient data to make a compelling case for widespread implementation of yoga programs in undergraduate curricula. We, therefore, wish to advocate for conducting a trial of the integration of yoga in the undergraduate medical curriculum to combine yoga's ancient health wisdom into the context of modern scientific medicine. Large, prospective, multicenter, and multi-method pilot projects are needed to identify how a program of yoga practice and theory could counter the UGME environment that ultimately produces depression, anxiety, and non-effective coping strategies among medical students. A curriculum for yoga for undergraduate medical students deserves serious consideration and a prominent place among efforts to improve UGME.

This article summarizes about edge proper interval-valued complex fuzzy graph. Here, degree of an edge, total degree of an edge, edge proper and edge totally proper intervalvalued complex fuzzy were introduced. A necessary and sufficient condition in which these two graphs are equivalent is provided. Many properties of edge proper interval-valued complex fuzzy graphs are examined and they were investigated for edge totally proper interval-valued complex fuzzy graphs,

This paper aims to improve the overall task processing time of mobile real-time Internet of Things (IoT) applications in fog-cloud computing, considering the various resource and security requirements along with the time constraints of the task. Fog computing extends the cloud resources to serve the IoT devices at the network edge. In such a scenario, deciding whether the tasks should be processed at the fog layer or submitted to the cloud is critical. Moreover, for real-time applications, the mobility of IoT devices and the limited bandwidth available at the edge devices endanger the low processing time of the task. Besides, the security demands of some IoT applications (i.e. healthcare) require processing the tasks by specific fog or cloud servers to assure confidentiality of information, which may also delay the task processing time. Therefore, we first address the mobility issue by proposing three different algorithms that work on allocating the mobile IoT device to the appropriate edge device (i.e. fog gateway), considering the distance and bandwidth load factors. Then, we offer a novel task scheduling algorithm that uses fuzzy logic to optimize the distribution of tasks between the fog and cloud layers, considering the task security requirements. The algorithm selects the proper processing unit to execute the task in the fog layer by exploiting the task demands (i.e. computation, storage, bandwidth, security) and deadline. Results demonstrate that considering the factors of distance and available bandwidth load while allocating the IoT device to the fog gateway improves the task processing time better than adopting one aspect. Results also show that our proposed scheduling algorithm outperforms other existing algorithms regarding makespan, turnaround time, success ratio and processing time metrics. [ABSTRACT FROM AUTHOR]

Clustering is one of the important functionalities of networking, which has a dominant impact on the performance in terms of Throughput, packet delivery ratio and communication delays. The challenge in performing the clustering process is more challenging for heterogeneous networks. The divergence between the member nodes is highly variable for a network that contains IoT nodes. As the result of vast availability of different IoT hardware, organizing them under one roof is a critical task which is very vital too. This work is intended to develop a new hierarchical based clustering to improve the performance and the lifetime of the IoT / Wireless sensor network nodes. Three legacy functional blocks such as idiosyncratic fuzzy energy estimator, cumulative fuzzy energy hierarchy builder and energy based cluster head exchanger are integrated in this work and submitted here as “Idiosyncratic Fuzzy LowEnergy Adaptive Clustering Hierarchy (IFLEACH)”. An industrial standard network simulator is used to evaluate the performance of IFLEACH in terms of throughput, packet delivery rate, latency, end-to-end delay and energy consumption by simulating the real-worlds IoT network environment replica. An achievement around 11 kbps throughput and 4 % security level are obtained by the proposed method in high density network. [ABSTRACT FROM AUTHOR]

This paper presents the effect of quantum confinement on the potential of short channel mono-layer molybdenum disulfide (MoS2) based transistor using Ritz Galerkin finite element technique. Unlike earlier models, only two iterations are used to obtain the potential. This model makes use of the coupled Poisson-Schrödinger equation by considering quantum mechanical effects for evaluating the potential with the support of Exciton Bohr radius, bandgap, electron energy state, Density of State (DOS), and electron concentration. Furthermore, this coupled equation along with Neumann boundary condition is employed to approximate the wave function of the Schrödinger equation, which is used again in the Poisson equation for calculating the potential. This work accurately predicts the impact of quantum confinement effects in the perpendicular direction of the channel surface. [ABSTRACT FROM AUTHOR]

Undergraduate medical education (UGME) is the time when doctors' attitudes toward patients and their profession are formed. It is also a period of tremendous stress for future physicians, including high levels of negative stress. Such stress can be maladaptive and may sow the seeds of burnout and long-term dissatisfaction. We believe that the introduction of yoga practice in the 1 st year of medical school could ameliorate the negative stressors to which undergraduate medical students are exposed. Although there are some studies in the U.S. and internationally that support the use of Yoga in UGME, they do not provide sufficient data to make a compelling case for widespread implementation of yoga programs in undergraduate curricula. We, therefore, wish to advocate for conducting a trial of the integration of yoga in the undergraduate medical curriculum to combine yoga's ancient health wisdom into the context of modern scientific medicine. Large, prospective, multicenter, and multi-method pilot projects are needed to identify how a program of yoga practice and theory could counter the UGME environment that ultimately produces depression, anxiety, and non-effective coping strategies among medical students. A curriculum for yoga for undergraduate medical students deserves serious consideration and a prominent place among efforts to improve UGME., Competing Interests: There are no conflicts of interest., (Copyright: © 2023 International Journal of Yoga.)