Remote controllability, real-time response, and small size are critically requirement of medical devices operated in blind, unstructured, and fluidic environments of biomedical regions. Untethered swimming soft milli-...
详细信息
Pressure ulcers have been part of tissue damage without effectiveness in medical, surgical, and intensive care units. This study aims to focus on developing lateral tilt positions for effective pressure ulcer relief f...
详细信息
Remote controllability, real-time response, and small size are critically requirement of medical devices operated in blind, unstructured, and fluidic environments of biomedical regions. Untethered swimming soft milli-...
Remote controllability, real-time response, and small size are critically requirement of medical devices operated in blind, unstructured, and fluidic environments of biomedical regions. Untethered swimming soft milli-robots have been developed to fulfill treatment and therapy in such that region under magnetic navigation. The soft robot's motor-less mechanism with a high-DOF utilizes magnetic compliance of the deformable structure with a minimal control of oscillating magnetic field. Theoretically, magnetic property of the robots is defined by magnetic moments consisting of orientation and strength. Orientation can be programmed by magnetizing technique, and strength is defined by quantity of magnetic moments in the structure. Herein, this work investigates how orientation and quantity of magnetic moments affect swimming behavior and performance of the robots. The soft robots are designed into three distinguish types of magnetic property embedded in the deformable structure; the I-robot has non-uniform magnetic orientation and uniform magnetic strength, the II-robot has uniform magnetic orientation and non-uniform magnetic strength, and the III-robot has non-uniform magnetic orientation and non-uniform magnetic strength. The results interestingly report that each type of robot's property functions mechanism and benefits swimming performance differently under the same control parameters. The I-robot does not have any exceptional potential, but the II-robot can be operated at the higher control frequency even reaching the step-out point. The III-robot shows the greatest performance in swimming and maneuverability. These results are useful to design a swimming soft-robot capable of applying for various purposes, especially when the demand concerns non-harm, small-scale, soft-interface, and remote controllability.
Corrosion is significant factor for steel structure. Many steel structure, rust is the most common corrosion. In order to classify rust to the standard, such as ASTM, a visual inspection has been used. However, this m...
详细信息
ISBN:
(数字)9798350351699
ISBN:
(纸本)9798350351705
Corrosion is significant factor for steel structure. Many steel structure, rust is the most common corrosion. In order to classify rust to the standard, such as ASTM, a visual inspection has been used. However, this method may include some bias. This study was set to determine whether machine learning might be used to classify rust with ASTM standard. 1155 images were prepared for model development. A convolutional neural network (CNN) was used in order to develop the model. 80 percent of the data were used to train the model and 20 percent were used for model verification. Finally, the model has an accuracy 79.48 percent.
Lower crossed syndrome (LCS) is an imbalance of muscles in the lower body segment. Muscle imbalance with prolonged sitting may increase the risk of low back pain. The objective of this study was to study the lumbopelv...
详细信息
Bacterial cellulose is a versatile material with applications in many industries. However, the widespread uptake of bacterial cellulose faces challenges including high production costs and lack of scalability. One app...
详细信息
Bacterial cellulose is a versatile material with applications in many industries. However, the widespread uptake of bacterial cellulose faces challenges including high production costs and lack of scalability. One approach to address these obstacles is the use of alternative substrates and media, compared to the Hestrin-Schramm (HS) media. By evaluating and selecting appro- priate media and substrates, the production of bacterial cellulose can be more efficient: enabling sustainable systems and supply chains where less energy and materials are lost, and the output production is increased. The purpose of this paper is to analyze the current landscape of bac- terial cellulose alternative media and substrates (ingredients). Through a systematic review of 198 papers, this review identifies 299 alternative substrates from 12 industries and 101 bacte- rial cellulose-producing strains, which were systematically compared. This review also finds that there are methodological gaps in this field such as data variability, papers mislabelling the HS media or not using a comparison media, and a lack of strain names. This alternative substrate analysis for bacterial cellulose production demonstrates that overall, for some applications al- ternative substrates can be taken into consideration that are not only cheaper, but also produce higher yields than HS media.
Epigenetic mechanisms are integral to plant growth, development, and adaptation to environmental stimuli. Over the past two decades, our comprehension of these complex regulatory processes has expanded remarkably, pro...
详细信息
Epigenetic mechanisms are integral to plant growth, development, and adaptation to environmental stimuli. Over the past two decades, our comprehension of these complex regulatory processes has expanded remarkably, producing a substantial body of knowledge on both locus-specific mechanisms and genome-wide regulatory patterns. Studies initially grounded in the model plant Arabidopsis have been broadened to encompass a diverse array of crop species, revealing the multifaceted roles of epigenetics in physiological and agronomic traits. With recent technological advancements, epigenetic regulations at the single-cell level and at the large-scale population level are emerging as new focuses. This review offers an in-depth synthesis of the diverse epigenetic regulations, detailing the catalytic machinery and regulatory functions. It delves into the intricate interplay among various epigenetic elements and their collective influence on the modulation of crop traits. Furthermore, it examines recent breakthroughs in technologies for epigenetic modifications and their integration into strategies for crop improvement. The review underscores the transformative potential of epigenetic strategies in bolstering crop performance, advocating for the development of efficient tools to fully exploit the agricultural benefits of epigenetic insights.
The fatigue performance of pre-cracked graphene-copper artificial nacre (GrCu nacre) under cyclic tensile loading is investigated using theoretical analysis and molecular dynamics (MD) simulations. Mechanical models a...
详细信息
Hierarchical Pt-alloys enriched with active sites are highly desirable for efficient catalysis,but their syntheses generally need time-consuming and elaborate annealing treatment at high *** herein report a surface ac...
详细信息
Hierarchical Pt-alloys enriched with active sites are highly desirable for efficient catalysis,but their syntheses generally need time-consuming and elaborate annealing treatment at high *** herein report a surface active-site engineering strategy for constructing the hierarchical PtNi nanocatalysts with an atomic Pt-skin layer(PtNi@Pt-SL)towards efficient triiodide reduction reaction(TRR)via an acid-dealloying *** facile acid-dealloying process promotes the formation of surface Pt active sites on the hierarchical Pt-alloys,and thus results in good catalytic performance towards *** calculation reveals that the enhanced catalytic property stems from the moderate energy barriers for iodide atoms on the surface Pt *** surface active-site engineering strategy paves a new way for the design of active and durable electrocatalysts.
Tropical peatlands have high potential function as a major source of atmospheric methane (CH4) and can contribute to global warming due to their large soil carbon stock, high groundwater level (GWL), high humidity and...
Tropical peatlands have high potential function as a major source of atmospheric methane (CH4) and can contribute to global warming due to their large soil carbon stock, high groundwater level (GWL), high humidity and high temperature. In this study, a process-based denitrification–decomposition (DNDC) model was used to simulate CH4 fluxes in a pristine tropical peatland in Sarawak. To test the accuracy of the model, eddy covariance tower datasets were compared. The model was validated for the year 2014, which showed the good performance of the model for simulating CH4 emissions. The monthly predictive ability of the model was better than the daily predictive ability, with a determination coefficient (R2) of 0.67, model error (ME) of 2.47, root mean square error (RMSE) of 3.33, mean absolute error (MAE) of 2.92 and mean square error (MSE) of 11.08. The simulated years of 2015 and 2016 showed the good performance of the DNDC model, although under- and overestimations were found during the drier and rainy months. Similarly, the monthly simulations for the year were better than the daily simulations for the year, showing good correlations at R2 at 0.84 (2015) and 0.87 (2016). Better statistical performance in terms of monthly ME, RMSE, MAE and MSE at − 0.11, 3.38, 3.05 and 11.45 for 2015 and − 1.14, 5.28, 4.93 and 27.83 for 2016, respectively, was also observed. Although the statistical performance of the model simulation for daily average CH4 fluxes was lower than that of the monthly average, we found that the results for total fluxes agreed well between the observed and the simulated values (E = 6.79% and difference = 3.3%). Principal component analysis (PCA) showed that CH4, GWL and rainfall were correlated with each other and explained 41.7% of the total variation. GWL was found to be relatively important in determining the CH4 fluxes in the naturally inundated pristine tropical peatland. These results suggest that GWL is an essential input variable for the DNDC mo
暂无评论