Tootfinder

Unraveling the mysteries of wormhole formation in Rastall-Rainbow gravity: A comprehensive study using the embedding approach
Abdelghani Errehymy, Ayan Banerjee, Orhan Donmez, Mohammed Daoud, Kottakkaran Sooppy Nisar, Abdel-Haleem Abdel-Aty
https://arxiv.org/abs/2406.04049

Unraveling the mysteries of wormhole formation in Rastall-Rainbow gravity: A comprehensive study using the embedding approach
The present work looks for the possible existence of static and spherically symmetric wormhole geometries in Rastall-Rainbow gravity. Since, the Rastall-Rainbow gravity model has been constructed with the combination of Rastall theory and the gravity's rainbow formalism. Taking advantage of the Karmarkar condition for embedding class one metrics, we solve the modified field equations analytically that describe wormholes for specific choice of redshift function. For specific parameter ranges, th…

Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI
Mohammed-Khalil Ghali, Abdelrahman Farrag, Daehan Won, Yu Jin
https://arxiv.org/abs/2406.09621

Enhancing Knowledge Retrieval with In-Context Learning and Semantic Search through Generative AI
Retrieving and extracting knowledge from extensive research documents and large databases presents significant challenges for researchers, students, and professionals in today's information-rich era. Existing retrieval systems, which rely on general-purpose Large Language Models (LLMs), often fail to provide accurate responses to domain-specific inquiries. Additionally, the high cost of pretraining or fine-tuning LLMs for specific domains limits their widespread adoption. To address these limit…

Compressive Beam Alignment for Indoor Millimeter-Wave Systems
April Junio, Rafaela Lomboy, Raj Sai Sohel Bandari, Mohammed E. Eltayeb
https://arxiv.org/abs/2406.07965

Compressive Beam Alignment for Indoor Millimeter-Wave Systems
The dynamic nature of indoor environments poses unique challenges for next-generation millimeter-wave (mmwave) connectivity. These challenges arise from blockages due to mobile obstacles, mm-wave signal scattering caused by indoor surfaces, and imperfections in phased antenna arrays. Consequently, traditional compressed sensing (CS) techniques for beam alignment become ineffective in practice under such settings. This paper proposes a novel beam alignment technique suited for mm-wave systems op…

Supervised Radio Frequency Interference Detection with SNNs
Nicholas J. Pritchard, Andreas Wicenec, Mohammed Bennamoun, Richard Dodson
https://arxiv.org/abs/2406.06075

Supervised Radio Frequency Interference Detection with SNNs
Radio Frequency Interference (RFI) poses a significant challenge in radio astronomy, arising from terrestrial and celestial sources, disrupting observations conducted by radio telescopes. Addressing RFI involves intricate heuristic algorithms, manual examination, and, increasingly, machine learning methods. Given the dynamic and temporal nature of radio astronomy observations, Spiking Neural Networks (SNNs) emerge as a promising approach. In this study, we cast RFI detection as a supervised mul…

Wobbling and Migrating Ferrofluid Droplets
Aaveg Aggarwal, Shih-Yuan Chen, Eleftherios Kirkinis, Mohammed Imran Khan, Bei Fan, Michelle M Driscoll, Monica Olvera de la Cruz
https://arxiv.org/abs/2406.08289

Wobbling and Migrating Ferrofluid Droplets
Active components incorporated in materials generate motion by inducing conformational changes in response to external fields. Magnetic fields are particularly interesting as they can actuate materials remotely. Millimeter-sized ferrofluid droplets placed on a solid surface, surrounded by an ambient gas phase, are shown here to migrate under a rotating magnetic field due to the periodic deformation of the liquid-gas interface. This interface wobbling leads to droplet migration with speeds that …

A micromechanical study of heat treatment induced hardening in {\alpha}-brass
Jonathan Birch, Emily Jenkins, Anastasia Vrettou, Mohammed Said, Himanshu Vashishtha, Thomas Connolley, Jeff Brooks, David M. Collins
https://arxiv.org/abs/2406.10140

A micromechanical study of heat treatment induced hardening in α-brass
The mechanisms that govern a previously unexplained hardening effect of a single phase Cu-30wt%Zn α-brass after heating have been investigated. After cold-work, the alloy possesses an increased yield strength and hardening rate only when heat treated to temperatures close to 220{^\circ}C, and is otherwise softer. Crystallographic texture and microstructure, explored using electron backscatter diffraction (EBSD), describe the deformation heterogeneity including twin development, as a function o…

Structure of a factor ring $R/P$ in terms of differential identities involving a new kind of involution
Karim Bouchannafa, Lahcen Oukhtite, Mohammed Zerra
https://arxiv.org/abs/2406.07675

Structure of a factor ring $R/P$ in terms of differential identities involving a new kind of involution
Let $R$ be a ring and $P$ a prime ideal of $R.$ In this paper, we establish some commutativity criteria for the factor ring $R/P$ in terms of derivations of $R$ satisfying some algebraic identities involving a new kind of involution in relation with $P.$

Supervised Radio Frequency Interference Detection with SNNs
Nicholas J. Pritchard, Andreas Wicenec, Mohammed Bennamoun, Richard Dodson
https://arxiv.org/abs/2406.06075

Supervised Radio Frequency Interference Detection with SNNs
Radio Frequency Interference (RFI) poses a significant challenge in radio astronomy, arising from terrestrial and celestial sources, disrupting observations conducted by radio telescopes. Addressing RFI involves intricate heuristic algorithms, manual examination, and, increasingly, machine learning methods. Given the dynamic and temporal nature of radio astronomy observations, Spiking Neural Networks (SNNs) emerge as a promising approach. In this study, we cast RFI detection as a supervised mul…

Structure of a factor ring $R/P$ in terms of differential identities involving a new kind of involution
Karim Bouchannafa, Lahcen Oukhtite, Mohammed Zerra
https://arxiv.org/abs/2406.07675

Structure of a factor ring $R/P$ in terms of differential identities involving a new kind of involution
Let $R$ be a ring and $P$ a prime ideal of $R.$ In this paper, we establish some commutativity criteria for the factor ring $R/P$ in terms of derivations of $R$ satisfying some algebraic identities involving a new kind of involution in relation with $P.$

Structure of a factor ring $R/P$ in terms of differential identities involving a new kind of involution
Karim Bouchannafa, Lahcen Oukhtite, Mohammed Zerra
https://arxiv.org/abs/2406.07675