We consider the problem of channel estimation and joint active and passive beamforming for reconfigurable intelligent surface (RIS) assisted millimeter wave (mmWave) multiple-input multiple-output (MIMO) orthogonal fr...
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Soft robots offer an exciting and novel alternative to traditional robots composed of rigid bodies. Many of the primary benefits soft robots have over more traditional robots result from their inherent compliance and ...
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Soft robots offer an exciting and novel alternative to traditional robots composed of rigid bodies. Many of the primary benefits soft robots have over more traditional robots result from their inherent compliance and their potential for low force interactions with their environments. Therefore, modeling soft robots requires the ability to accurately simulate contact mechanics. In this work, we present the solution of contact mechanics finite element problems specifically for soft robots in a MOOSE-based multiphysics simulation platform we developed, Kraken. The primary contributions of this work are threefold. Firstly, our implementations enable the modeling of additional types of contact critical to the simulation of soft robots. Next, we demonstrate how our new self contact method can be used to dramatically decrease the computational cost of contact modeling. Finally, we demonstrate the abilities of Kraken as a platform to simulate the complex interactions of soft robots and the environment.
Electron irradiation of water-rich ices plays a significant role in initiating the chemical and physical processes on the surface of airless icy bodies in radiation environments such as Europa and Enceladus, as well a...
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Electron irradiation of water-rich ices plays a significant role in initiating the chemical and physical processes on the surface of airless icy bodies in radiation environments such as Europa and Enceladus, as well as on the Moon, comets, and asteroids interacting with the solar wind. The sputtering process by electrons and ions leads to chemical modification and outgassing of their icy surfaces and the subsequent formation of a tenuous atmosphere. Though electron-sputtering yields are known to be lower compared to ion-sputtering yields, one needs to also account for their differential fluxes. Europa receives about 10 times more electron flux than proton flux, making electron-induced outgassing important to study and understand. Here, we report a rigorous experimental study of electron bombardment of Europa analog crystalline and amorphous pure water ices at 100 K under ultrahigh vacuum and compare our results with reported data in the literature to provide quantitative data for low-energy electron-induced chemistry and sputtering of water-ice. In our experiments, the electron-induced sputtering yields of all the gaseous species H2, O, OH, H2O, and O2 are investigated for electron energies lower than 2 keV in terms of partial pressure vs. time of irradiation. The effective averaged change in partial pressure of the desorbed species is converted to the number of sputtered atoms or molecules per second per cm2 from the ice, and then to the sputtering yields (number of species sputtered per electron). These values at different electron fluences (electrons/cm2) are then used to derive the number of atoms or molecules desorbed or sputtered per keV of incident electrons, to enable utilizing our data to quantify the contribution of electron-sputtering process towards the exospheric composition of Europa. Our data agrees well with the previously reported data for the sputtering of O2 and H2O yield for the amorphous ice. We also find that crystalline ice shows significantly
Mechanical straining-induced bandgap modulation in two-dimensional (2D) materials has been confined to volatile and narrow modulation due to substrate slippage and poor strain transfer. We report the thermomechanical ...
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Network biology is an interdisciplinary field bridging computational and biological sciences that has proved pivotal in advancing the understanding of cellular functions and diseases across biological systems and scal...
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Depression is a global burden and one of the most challenging mental health conditions to control. Using the BDI questionnaire, experts can detect its severity early, administer appropriate medication to patients, and...
Depression is a global burden and one of the most challenging mental health conditions to control. Using the BDI questionnaire, experts can detect its severity early, administer appropriate medication to patients, and impede its progression. Owing to the fear of potential stigmatization, many patients turn to social media platforms such as Reddit for advice and assistance at various stages of their journey. This research extracts text from Reddit to facilitate the diagnostic process, employs a proposed labelling approach to categorize the text, and subsequently fine-tunes the Longformer model. The model’s performance is compared against the baseline models, including Naive Bayes, Random Forest, Support Vector Machines, and Gradient Boosting. Our findings reveal that the Longformer model outperforms the baseline models in both English (48%) and Luganda (45%) languages on a custom-made dataset.
We consider the problem of downlink channel estimation for intelligent reflecting surface (IRS)-assisted millimeter Wave (mmWave) orthogonal frequency division multiplexing (OFDM) systems. By exploring the inherent sp...
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The development of artificial intelligence(AI)and the mining of biomedical data complement each *** the direct use of computer vision results to analyze medical images for disease screening,to now integrating biologic...
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The development of artificial intelligence(AI)and the mining of biomedical data complement each *** the direct use of computer vision results to analyze medical images for disease screening,to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries,the boundaries of both are constantly expanding,and their connections are becoming ***,the theme of the 2024 Annual Quantitative Biology Conference is set as“Biomedical Data and AI”,and was held in Chengdu,China from July 15 to 17,2024.
Electromagnetic coupling via exponentially decaying evanescent field or radiative wave is a primary characteristic of light, allowing optical signal/power transfer but limiting integration density in a photonic circui...
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Under the organization of the base station (BS), wireless federated learning (FL) enables collaborative model training among multiple devices. However, the BS is merely responsible for aggregating local updates during...
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