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Deep neural network-based robotic visual servoing for satellite target tracking

Author(s): Ghiasvand S; Xie WF; Mohebbi A;

In response to the costly and error-prone manual satellite tracking on the International Space Station (ISS), this paper presents a deep neural network (DNN)-based robotic visual servoing solution to the automated tracking operation. This innovative approach directly addresses the critical issue of motion decoupling, which poses a significant challenge in ...

Article GUID: 39440297


Monitoring pilot trainees' cognitive control under a simulator-based training process with EEG microstate analysis

Author(s): Zhao M; Jia W; Jennings S; Law A; Bourgon A; Su C; Larose MH; Grenier H; Bowness D; Zeng Y;

The objective of pilot training is to equip trainees with the knowledge, judgment, and skills to maintain control of an aircraft and respond to critical flight tasks. The present research aims to investigate changes in trainees' cognitive control levels during a pilot training process while t ...

Article GUID: 39428425


Generalization limits of Graph Neural Networks in identity effects learning

Author(s): D' Inverno GA; Brugiapaglia S; Ravanelli M;

Graph Neural Networks (GNNs) have emerged as a powerful tool for data-driven learning on various graph domains. They are usually based on a message-passing mechanism and have gained increasing popularity for their intuitive formulation, which is closely linked to the Weisfeiler-Lehman (WL) test for graph isomorphism to which they have been proven equivale ...

Article GUID: 39426036


AAT4IRS: automated acceptance testing for industrial robotic systems

Author(s): Dos Santos MG; Hallé S; Petrillo F; Guéhéneuc YG;

Industrial robotic systems (IRS) consist of industrial robots that automate industrial processes. They accurately perform repetitive tasks, replacing or assisting with dangerous jobs like assembly in the automotive and chemical industries. Failures in these systems can be catastrophic, so it is important to ensure their quality and safety before using the ...

Article GUID: 39420929


Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks

Author(s): Abicumaran Uthamacumaran

Pediatric glioblastoma is a complex dynamical disease that is difficult to treat due to its multiple adaptive behaviors driven largely by phenotypic plasticity. Integrated data science and network theory pipelines offer novel approaches to studying glioblastoma cell fate dynamics, particularly phenotypic transitions over time. Here we used various single- ...

Article GUID: 39420135


What can optimized cost distances based on genetic distances offer? A simulation study on the use and misuse of ResistanceGA

Author(s): Daniel A; Savary P; Foltête JC; Vuidel G; Faivre B; Garnier S; Khimoun A;

Modelling population connectivity is central to biodiversity conservation and often relies on resistance surfaces reflecting multi-generational gene flow. ResistanceGA (RGA) is a common optimization framework for parameterizing these surfaces by maximizing the fit between genetic distances and cost distances using maximum likelihood population effect mode ...

Article GUID: 39417711


Topology optimization of adaptive sandwich plates with magnetorheological core layer for improved vibration attenuation

Author(s): Zare M; Sedaghati R;

In this study the optimum topology distribution of the magnetorheological elastomer (MRE) layer in an adaptive sandwich plate is investigated. The adaptive sandwich plate consists of an MR elastomer layer embedded between two thin elastic plates. A finite element model has been first formulated to derive the governing equations of motion. A design optimiz ...

Article GUID: 39398530


Recommendations on the use of artificial intelligence in health promotion

Author(s): Smith A; Arena R; Bacon SL; Faghy MA; Grazzi G; Raisi A; Vermeesch AL; Ong' wen M; Popovic D; Pronk NP;

The purpose of this perspective is to provide recommendations on the use of Artificial Intelligence (AI) in health promotion. To arrive at these recommendations, we followed a 6-step process. The first step was to recruit an international authorship team from the Healthy Living for Pandemic Event ...

Article GUID: 39389332


The degradation of polylactic acid face mask components in different environments

Author(s): Lyu L; Bagchi M; Ng KTW; Markoglou N; Chowdhury R; An C; Chen Z; Yang X;

The disposal of fossil fuel-based plastics poses a huge environmental challenge, leading to increased interest in biodegradable alternatives such as polylactic acid (PLA). This study focuses on the environmental impact and degradation of PLA face mask components under various conditions (UV (Ultraviolet) radiation, DI water, landfill leachate of various a ...

Article GUID: 39378804


Tuning Electrostatics to Promote Ordered Monolayers of Phosphole-Lipids

Author(s): Alinia Z; Miao D; Baumgartner T; DeWolf CE;

Heteroatom-doped p-conjugated systems have been exploited for electronic device applications. Phosphole-containing backbones are particularly intriguing with regard to electron delocalization and ultimately control over the photophysical, redox, and charge transfer characteristics. However, practical application of these materials commonly relies on well- ...

Article GUID: 39380352


Transcriptomics identify the triggering of citrate export as the key event caused by manganese deficiency in Aspergillus niger

Author(s): Fekete E; Bíró V; Márton A; Bakondi-Kovács I; Sándor E; Kovács B; Geoffrion N; Tsang A; Kubicek CP; Karaffa L;

For over a century, the filamentous Ascomycete fungus Aspergillus niger has played a pivotal role in the industrial production of citric acid. A critical fermentation parameter that sustains high-yield citric acid accumulation is the suboptimal concentration of manganese(II) ions in the culture b ...

Article GUID: 39377610


Bismuth-Tin Core-Shell Particles From Liquid Metals: A Novel, Highly Efficient Photothermal Material that Combines Broadband Light Absorption with Effective Light-to-Heat Conversion

Author(s): Seyda D; Dincer O; Ince D; Cugunlular M; Unalan HE; Çinar Aygün S;

This study presents a pioneering investigation of hybrid bismuth-tin (BiSn) liquid metal particles for photothermal applications. It is shown that the intrinsic core-shell structure of liquid metal particles can be instrumentalized to combine the broadband absorption characteristics of defect-rich nano-oxides and the high light-to-heat conversion efficien ...

Article GUID: 39375946


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