Tootfinder

A First-Engineering Principles Model for Dynamical Simulation of a Calciner in Cement Production
Jan Lorenz Svensen, Wilson Ricardo Leal da Silva, John Bagterp J{\o}rgensen
https://arxiv.org/abs/2405.03208

A First-Engineering Principles Model for Dynamical Simulation of a Calciner in Cement Production
We present an index-1 differential-algebraic equation (DAE) model for dynamic simulation of a calciner in the pyro-section of a cement plant. The model is based on first engineering principles and integrates reactor geometry, thermo-physical properties, transport phenomena, stoichiometry and kinetics, mass and energy balances, and algebraic volume and internal energy equations in a systematic manner. The model can be used for dynamic simulation of the calciner. We also provide simulation result…

A Dynamical Simulation Model of a Cement Clinker Rotary Kiln
Jan Lorenz Svensen, Wilson Ricardo Leal da Silva, Javier Pigazo Merino, Dinesh Sampath, John Bagterp J{\o}rgensen
https://arxiv.org/abs/2405.03200

A Dynamical Simulation Model of a Cement Clinker Rotary Kiln
This study provides a systematic description and results of a dynamical simulation model of a rotary kiln for clinker, based on first engineering principles. The model is built upon thermophysical, chemical, and transportation models for both the formation of clinker phases and fuel combustion in the kiln. The model is presented as a 1D model with counter-flow between gas and clinker phases and is demonstrated by a simulation using industrially relevant input. An advantage of the proposed model…

NLP4Gov: A Comprehensive Library for Computational Policy Analysis
Mahasweta Chakraborti, Sailendra Akash Bonagiri, Santiago Virg\"uez-Ruiz, Seth Frey
https://arxiv.org/abs/2404.03206

NLP4Gov: A Comprehensive Library for Computational Policy Analysis
Formal rules and policies are fundamental in formally specifying a social system: its operation, boundaries, processes, and even ontology. Recent scholarship has highlighted the role of formal policy in collective knowledge creation, game communities, the production of digital public goods, and national social media governance. Researchers have shown interest in how online communities convene tenable self-governance mechanisms to regulate member activities and distribute rights and privileges b…

NLP4Gov: A Comprehensive Library for Computational Policy Analysis
Mahasweta Chakraborti, Sailendra Akash Bonagiri, Santiago Virg\"uez-Ruiz, Seth Frey
https://arxiv.org/abs/2404.03206

NLP4Gov: A Comprehensive Library for Computational Policy Analysis
Formal rules and policies are fundamental in formally specifying a social system: its operation, boundaries, processes, and even ontology. Recent scholarship has highlighted the role of formal policy in collective knowledge creation, game communities, the production of digital public goods, and national social media governance. Researchers have shown interest in how online communities convene tenable self-governance mechanisms to regulate member activities and distribute rights and privileges b…

Comment on "Source of black bounces in Rastall gravity''
Manuel E. Rodrigues, Marcos V. de S. Silva
https://arxiv.org/abs/2402.17814 https://<…

Comment on "Source of black bounces in Rastall gravity''
In Atazadeh and Hadi (JCAP \textbf{01}, 067 (2024)), the authors proposed that black bounce solutions, such as the Simpson-Visser and the Bardeen-type spacetimes, can be obtained from Rastall gravity. To achieve these spacetimes, the authors consider the presence of a phantom scalar field with nonlinear electrodynamics. However, in this comment, we obtained different electromagnetic Lagrangians from the original work. The most problematic issue is not the incorrect expression of the electromagn…

Highly Reproducible and CMOS-compatible VO2-based Oscillators for Brain-inspired Computing
Olivier Maher, Roy Bernini, Nele Harnack, Bernd Gotsmann, Marilyne Sousa, Valeria Bragaglia, Siegfried Karg
https://arxiv.org/abs/2403.02822

Highly Reproducible and CMOS-compatible VO2-based Oscillators for Brain-inspired Computing
With remarkable electrical and optical switching properties induced at low power and near room temperature (68C), vanadium dioxide (VO2) has sparked rising interest in unconventional computing among the phase-change materials research community. The scalability and the potential to compute beyond the von Neumann model make VO2 especially appealing for implementation in oscillating neural networks for artificial intelligence (AI) applications, to solve constraint satisfaction problems, and for p…

This https://arxiv.org/abs/2305.08396 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
Since their emergence, Convolutional Neural Networks (CNNs) have made significant strides in medical image analysis. However, the local nature of the convolution operator may pose a limitation for capturing global and long-range interactions in CNNs. Recently, Transformers have gained popularity in the computer vision community and also in medical image segmentation due to their ability to process global features effectively. The scalability issues of the self-attention mechanism and lack of th…

Self-supervised contrastive learning of radio data for source detection, classification and peculiar object discovery
S. Riggi, T. Cecconello, S. Palazzo, A. M. Hopkins, N. Gupta, C. Bordiu, A. Ingallinera, C. Buemi, F. Bufano, F. Cavallaro, M. D. Filipovi\'c, P. Leto, S. Loru, A. C. Ruggeri, C. Trigilio, G. Umana, F. Vitello
https://

Self-supervised contrastive learning of radio data for source detection, classification and peculiar object discovery
New advancements in radio data post-processing are underway within the SKA precursor community, aiming to facilitate the extraction of scientific results from survey images through a semi-automated approach. Several of these developments leverage deep learning (DL) methodologies for diverse tasks, including source detection, object or morphology classification, and anomaly detection. Despite substantial progress, the full potential of these methods often remains untapped due to challenges assoc…

Comment on "Source of black bounces in Rastall gravity''
Manuel E. Rodrigues, Marcos V. de S. Silva
https://arxiv.org/abs/2402.17814 https://<…

Comment on "Source of black bounces in Rastall gravity''
In Atazadeh and Hadi (JCAP \textbf{01}, 067 (2024)), the authors proposed that black bounce solutions, such as the Simpson-Visser and the Bardeen-type spacetimes, can be obtained from Rastall gravity. To achieve these spacetimes, the authors consider the presence of a phantom scalar field with nonlinear electrodynamics. However, in this comment, we obtained different electromagnetic Lagrangians from the original work. The most problematic issue is not the incorrect expression of the electromagn…

This https://arxiv.org/abs/2305.08396 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
Since their emergence, Convolutional Neural Networks (CNNs) have made significant strides in medical image analysis. However, the local nature of the convolution operator may pose a limitation for capturing global and long-range interactions in CNNs. Recently, Transformers have gained popularity in the computer vision community and also in medical image segmentation due to their ability to process global features effectively. The scalability issues of the self-attention mechanism and lack of th…