Aluminium extrusion with a deformable die

Assaad, W.

doi:10.3990/1.9789036531139

Cited by 3 publications

(5 citation statements)

References 29 publications

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“…We and others have previously shown that the 38-kDa antigen gives Dth reactions in outbred guinea pigs sensitized with mycobacteria not belonging to the M. tuberculosis complex [] 5,26]. The fact that LS reactivity in this study is seen only in M. /w/jcrcw/wM complex-immunized guinea pigs may be explained by different sensitivities ofthe skin test and the LS method, and/or the methods may reflect diflerent aspects of the cellmediated immune reaction.…”

Section: Discussionmentioning

confidence: 53%

Comparison of the Immunological Activity of Five Defined Antigens from Mycobacterium tuberculosis in Seven Inbred Guinea Pig Strains. The 38‐kDa Antigen is Immunodominant

et al. 1990

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We have examined the immunological activity of five affinity-purified protein antigens from Mycobacterium tuberculosis in seven inbred and one outbred guinea pig strains. The test systems were measurements of delayed-type hypersensitivity (Dth) responses, lymphocyte stimulation assays (LS), and antibody response measurements. The results showed significant differences in the immunogenicity of the single-protein antigens and, when the antigens were considered separately, highly significant guinea pig strain differences. The outbred guinea pig strain behaved as a Dth high responder to all antigens studied. The order of magnitude of the Dth responses was not usually correlated with that of the corresponding antibody responses for the individual guinea pig strain-antigen combinations. In particular, when compared with the other strains, strain 2 guinea pigs generally gave the lowest Dth, but the highest antibody responses. A 38,000 molecular weight protein, possessing M. tuberculosis complex-specific B-cell determinants, appeared immunodominant in 5 out of 7 strains. Our Dth data in the inbred strains further suggest the presence of an M. tuberculosis-specific T-cell epitope. A T-cell line, 11D9, derived from the high-responder guinea pig strain 13 reactive to this protein, was shown to be able to confer a tuberculin-like skin reaction in vivo. LS assays with recombinant 38-kDa protein and truncated versions of the protein mapped the 11D9-defined T-cell epitope to the middle part of the molecule.

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Section: Discussionmentioning

confidence: 53%

Comparison of the Immunological Activity of Five Defined Antigens from Mycobacterium tuberculosis in Seven Inbred Guinea Pig Strains. The 38‐kDa Antigen is Immunodominant

et al. 1990

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“…Many studies have tried integrating machine learning with civil engineering to tackle diverse engineering challenges [33][34][35][36]. Deep learning, a popular technique, has been widely used for damage recognition, crack detection, and prediction [37][38][39][40]. Reinforcement learning has emerged as a recent method to maximize cost-effectiveness in determining ideal treatment schedules [32,41].…”

Section: Related Workmentioning

confidence: 99%

“…Research Method Main Category [44] Identifying damage to infrastructure assets CNN Building [45] CNN Road [46] CNN Water [37] KNN Bridges [47] CNN Power [48] Timing of Maintenance and Rehabilitation ML Bridges [41] RL Road [32] RL Road [43] RL Road [29] GA Road [22] Performance Forecast KNN Road [37] ANN Dam [49] ANN Sewer [50] RNN Power…”

Section: No Of Refmentioning

confidence: 99%

A Deep Learning Technique to Improve Road Maintenance Systems Based on Climate Change

et al. 2023

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Road maintenance systems (RMS) are crucial for maintaining safe and efficient road networks. The impact of climate change on road maintenance systems is a concern as it makes them more susceptible to weather events and subsequent damages. To tackle this issue, we propose an RMSDC (Road Maintenance Systems Using Deep Learning and Climate Adaptation) technique to improve road maintenance systems based on Deep learning and Climate Adaptation. RMSDC aims to use the multivariate classification technique and divides the dataset into training and test datasets. The RMSDC combines Convolutional Long Short-Term Memory (ConvLSTM) techniques with road weather information and sensor data. However, in emerging nations, the effects of climate change are already apparent, which makes road networks particularly susceptible to extreme weather, floods, and landslides. Therefore, climate adaptation of road networks is essential, especially in developing nations with limited financial resources. To address this issue, we propose an intelligent and effective RMSDC that utilizes deep learning algorithms based on climate change predictions. The ConvLSTM block effectively captures the relationship between input features over time to calculate the root-mean deviation (RMSD). We evaluate RMSDC performance against frameworks for downscaling climate variables using two metrics: root-mean-square error (RMSE) and mean absolute difference. Through real evaluations, RMSDC consistently outperforms approaches with a reduced RMSE of 0.26. These quantitative results highlight how effective RMSDC is in addressing maintenance systems on road networks leading to proactive road maintenance strategies that enhance traffic safety, reduce costs, and improve environmental sustainability.

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“…Mesh distortion problems are avoided completely or at least reduced. Examples of the modeling of the extrusion process with finite elements based on a Eulerian or ALE formulation can be found for instance in Lof [90], Koopman [72] and Assaad [11]. In this section, the ASFEM method will be compared with a Eulerian finite element simulation in a simplified extrusion problem.…”

Section: Extrusion Of Aluminiummentioning

confidence: 99%

“…This law is given by: Table 6.2 and are taken from Assaad [11]. The temperature will be fixed throughout the process at 700 K.…”

Section: Modelmentioning

confidence: 99%

On meshless and nodel-based numerical simulations of forming processes

Quak¹

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Aluminium extrusion with a deformable die

Cited by 3 publications

References 29 publications

Comparison of the Immunological Activity of Five Defined Antigens from Mycobacterium tuberculosis in Seven Inbred Guinea Pig Strains. The 38‐kDa Antigen is Immunodominant

Comparison of the Immunological Activity of Five Defined Antigens from Mycobacterium tuberculosis in Seven Inbred Guinea Pig Strains. The 38‐kDa Antigen is Immunodominant

A Deep Learning Technique to Improve Road Maintenance Systems Based on Climate Change

On meshless and nodel-based numerical simulations of forming processes

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