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Comparison of the dosimetry of scandium-43 and scandium-44 patient organ doses in relation to commonly used gallium-68 for imaging neuroendocrine tumours
BackgroundSeveral research groups have explored the potential of scandium radionuclides for theragnostic applications due to their longer half-lives...
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Pareto optimization of SPECT acquisition and reconstruction settings for 177Lu activity quantification
BackgroundThe aim was to investigate the noise and bias properties of quantitative 177 Lu-SPECT with respect to the number of projection angles, and...
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Machine-learning performance on Higgs-pair production associated with dark matter at the LHC
Di-Higgs production at the LHC associated with missing transverse energy is explored in the context of simplified models that generically...
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Revealing the three-dimensional structure of microbunched plasma-wakefield-accelerated electron beams
Plasma wakefield accelerators use tabletop equipment to produce relativistic femtosecond electron bunches. Optical and X-ray diagnostics have...
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Hypergeometric potential inflation and swampland program in rescaled gravity with stringy corrections
Motivated by string theory activities, we investigate inflationary models and the swampland criteria in the context of a stringy rescaled gravity....
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Pore-scale investigation of two-dimensional water–oil displacement in fractured porous media
The pore and branching fracture structures in both naturally and artificially fractured reservoirs significantly affect the water–oil displacement...
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Extended BMT equations and the anomalous magnetic moment
We propose a generalized form of the Thomas–Bargmann–Michel–Telegdi equations. These are first-order in both electric and magnetic fields and retain...
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Exploring the dynamics of ICT and globalization on human development in India: asymmetric analysis and policy implications
The present study examines the asymmetrical relationship among globalization (GLB), information communication and technology (ICT), and human...
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A scale conjugate gradient neural network for the hard water consumption using the kidney function
The term “hard water” refers to water management in Nusa Tenggara Timur that has a higher proportion of the ion’s minerals magnesium and calcium....
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Application of neural networks to predict indoor air temperature in a building with artificial ventilation: impact of early stop**
Indoor air temperature prediction can facilitate energy-saving actions without compromising the indoor thermal comfort of occupants. The aim of this...
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Analyzing processing time and load factor: 5-node mix network with ElGamal encryption and XOR shuffling
To provide anonymous communication, this paper proposes the implementation of a 5-node mix network using ElGamal encryption and XOR Shuffling. An...
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Three-channel acoustic switch based on topological phononic crystals
In this study, edge states with topological characteristics have been simulated using a square phononic crystal consisting of cross-shaped scatterers...
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VLSI realization of hybrid fast fourier transform using reconfigurable booth multiplier
A discrete fourier transform (DFT) of a series of samples may be quickly and efficiently computed with the use of a mathematical procedure known as...
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Improving predictive performance in e-learning through hybrid 2-tier feature selection and hyper parameter-optimized 3-tier ensemble modeling
The paper presents a new feature selection technique developed in detail here to address improved prediction accuracy not only for the...
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Why insect swarms seem unduly complicated
Mating swarms of flying male insects are a form of collective behaviour, albeit one different from flocks and schools as they do not display ordered...
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Optimal feature with modified bi-directional long short-term memory for big data classification in healthcare application
Artificial intelligence together with its applications are advancing in all fields, particularly medical science. A considerable quantity of clinical...
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Spent coffee grounds enhanced compressive strength of cement mortar: an optimization study
This paper presents an optimization study of spent coffee grounds (SCG) as cement mortar additives to enhance mortar strength. In recent years,...
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Intelligent Personality Assessment and Verification from Handwriting using Machine Learning
It is possible to tell a lot about a person just by looking at their handwriting. The way someone writes might tell you a lot about who, they are as...
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L2XGNN: learning to explain graph neural networks
Graph Neural Networks (GNNs) are a popular class of machine learning models. Inspired by the learning to explain (L2X) paradigm, we propose L2xGnn , a...
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Explainable dating of greek papyri images
Greek literary papyri, which are unique witnesses of antique literature, do not usually bear a date. They are thus currently dated based on...
