A General Study on Langevin Equations of Arbitrary Order

In this paper, the broad study depends on Langevin differential equations (LDE) of arbitrary order.The fractional order is in terms of ψ-Hilfer fractional operator. This work reveals the dynamicalbehaviour such as existence, uniqueness and stability solutions for LDE involving ψ-Hilfer fractionalerivative (HFD). Thus the fractional LDE with boundary condition, impulsive effect and nonlocalconditions are taken in account to prove the result

Vision-Based American Sign Language Classification Approach via Deep Learning

Hearing-impaired is the disability of partial or total hearing loss that causes a significant problem for communication with other people in society. American Sign Language (ASL) is one of the sign languages that most commonly used language used by Hearing impaired communities to communicate with each other. In this paper, we proposed a simple deep learning model that aims to classify the American Sign Language letters as a step in a path for removing communication barriers that are related to disabilities.Comment: 4 pages, Accepted in the The Florida AI Research Society (FLAIRS-35) 202

Editorial: Subclinical hypothyroidism in children with Down syndrome: To treat or not to treat???

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Efficient multiscale modeling of heterogeneous materials using deep neural networks

Material modeling using modern numerical methods accelerates the design process and reduces the costs of developing new products. However, for multiscale modeling of heterogeneous materials, the well-established homogenization techniques remain computationally expensive for high accuracy levels. In this contribution, a machine learning approach, convolutional neural networks (CNNs), is proposed as a computationally efficient solution method that is capable of providing a high level of accuracy. In this work, the data-set used for the training process, as well as the numerical tests, consists of artificial/real microstructural images (“input”). Whereas, the output is the homogenized stress of a given representative volume element RVE . The model performance is demonstrated by means of examples and compared with traditional homogenization methods. As the examples illustrate, high accuracy in predicting the homogenized stresses, along with a significant reduction in the computation time, were achieved using the developed CNN model

Assessment of left ventricular function by global longitudinal strain in patients with non-ST elevation myocardial infarction: Comparative study with conventional method

Background: Left ventricular ejection fraction (LVEF) is a strong prognostic parameter in patients with heart disease. The assessment of global longitudinal strain (GLS) from speckle-tracking analysis of 2-dimensional echocardiography has become a clinically feasible alternative to LVEF for the measurement of myocardial function.Objective: The aim of the current work was to compare between GLS speckle tracking echocardiography and Simpson’s biplane methods for assessment of left ventricular function in non-STEMI patients.Patients and methods: This study was carried out in Cardiology Department, Faculty of Medicine, Zagazig University on 44 non‐ST‐elevation myocardial infarction (NSTEMI) patients scheduled for assessment of Left ventricular function by GLS and biplane Simpson method.Result: Mean systolic blood pressure was 122.05±18.37 mmHg. No statistically significant difference in systolic blood pressure was found across GLS groups (P= 0.17). Mean diastolic blood pressure was 73.41±12.00 mmHg. No statistically significant difference in diastolic blood pressure was found across GLS groups (P= 0.35). Mean heart rate was 68.84±7.13 bpm, and a statistically significant difference was found in heart rate across GLS groups (P= 0.039).Conclusion: It could be concluded that GLS speckle tracking echocardiography and Simpson’s biplane methods can be used as alternative different parameters for assessment of left ventricular function in non-STEMI patients

Efficiency of tree-based water status indicators at the onset of water deficit in citrus

5 páginas.-- 3 figuras.-- 5 tablas.-- 18 referenciasThis experiment evaluates the potential of using parameters based on tree trunk fluctuations for detecting water deficit in citrus trees under two different water saving-irrigation strategies: sustained deficit irrigation and partial root-zone drying. Three irrigation treatments were applied: 1) Control: trees were irrigated with 100% of their evapotranspirative needs (ETc); 2) 60 sustained deficit irrigation (SDI): 60% ETc; and 3) partial root-zone drying (PRD): 100% ETc needs, applied to only one-half of root zone. Maximum daily shrinkage (MDS), trunk growth rate (TGR), and MDS ratio (ratio between MDS of stressed trees and control trees) were determined. Day-to-day MDS values varied largely and could not be used to determine tree water deficit. TGR did not show significant differences among treatments at this level of stress. Nevertheless, the MDS ratio was a reliable indicator to measure tree water status, and it was more sensitive for detecting water deficit at the onset of a water deficit in trees under SDI than in trees under PRD.The authors thank the Consejo Superiorde Investigaciones Científicas (CSIC) for funding the stay of S. Elsayed-Farag at the Texas A&M University-Kingsville Citrus Center and her JAE-predoc fellowship and Ayako Kusakabe, research associate at the Citrus Center, for her technical support.Peer reviewe

The Nile Water Food and Energy Nexus Model

This is the author accepted manuscript.The Water, Food and Energy (WFE) Nexus is a useful concept to address the interlinkages among these resources on which we depend to achieve socio-economic and environmental goals in a sustainable way. WFE are interconnected in different ways and an action in one sector would not only affect that but could have significant impacts on the other sectors. The Nile basin is a transboundary river which is currently challenged by rapid population and economic growth that sparked development plans aimed at meeting growing demands for WFE. Currently, water, food and energy are still managed separately and there is a little attention given to the interactions between the WFE and socio-economic drivers and the potential for a transboundary cooperation on WFE matters in the Nile basin. A System Dynamics Modelling (SDM) approach is proposed for this study as it: (a) provides a unique framework to address the interlinkages among subsystems in a complex dynamic system, and (b) has the ability to capture the dynamic feedback between system components. A water balance for the entire Nile basin is integrated with the food, energy, population and economic sectors in Egypt. The underlying structure of each submodel was presented. The calibration and the model simulations results were presented, and the model showed a satisfactory performance