bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bandgap adjustment of a sandwich-like acoustic metamaterial plate with a frequency-displacement feedback control method
Authors: Liu Jianing , Li Jinqiang , Wu Ying 
Published: September 2024

AbstractSeveral types of acoustic metamaterials composed of resonant units have been developed to achieve low-frequency bandgaps. In most of these structures, bandgaps are determined by their geometric configurations and material properties. This paper presents a frequency-displacement feedback control method for vibration suppression in a sandwich-like acoustic metamaterial plate. The band structure is theoretically derived using the Hamilton principle and validated by comparing the theoretical calculation results with the finite element simulation results. In this method, the feedback voltage is related to the displacement of a resonator and the excitation frequency. By applying a feedback voltage on the piezoelectric fiber-reinforced composite (PFRC) layers attached to a cantilever-mass resonator, the natural frequency of the resonator can be adjusted. It ensures that the bandgap moves in a frequency-dependent manner to keep the excitation frequency within the bandgap. Based on this frequency-displacement feedback control strategy, the bandgap of the metamaterial plate can be effectively adjusted, and the vibration of the metamaterial plate can be significantly suppressed.
Bridging the reality gap in drone swarm development through mixed reality
Authors: Sende Micha , Raffelsberger Christian , Bettstetter Christian 
Published: September 2024

AbstractSwarm algorithms promise to solve certain problems in large multi-robot systems. The evaluation of large swarms is however challenging as simulations alone often lack some properties of real systems whereas real-world experiments are costly and complex. We present a mixed reality (MR) system that connects simulated and physical robots though a 5G network, facilitating MR experiments to evaluate communication-based swarm algorithms. The effectiveness of the system is demonstrated through extensive experiments with unmanned aerial vehicles. Measurements show that the communication requirements of swarm coordination are well met by 5G but the computing power of the simulation server can be a bottleneck. However, even when the simulation slows down, communication and coordination take place in real time. In conclusion, 5G-enabled MR experiments are a feasible tool for bridging the reality gap in the development and evaluation of robot swarms.
Effect of Ga-Promoted on Ni/Zr + Al2O3 Catalysts for Enhanced CO2 Reforming and Process Optimization
Authors: Al-Fatesh Ahmed S. , Chava Ramakrishna , Alwan Saba M. , Ibrahim Ahmed A. , Fakeeha Anis H. , Abu-Dahrieh Jehad K. , Yagoub Elnour Ahmed , Abasaeed Ahmed E. , Al-Othman Othman , Appari Srinivas 
Published: September 2024

AbstractIn this study, zirconia-modified alumina support (S) was used to investigate Ga-promoted Ni catalysts for dry reforming of methane (DRM). The catalysts (Ni + (0–3) wt% Ga/S) were prepared using the wet impregnation method and calcined at 700 °C for 3 h. The inclusion of Ga enhanced the surface area, basicity, and metal-support interaction of the Ni-Ga/S catalysts. Smaller Ni particles containing Ga were seen in the TEM. The most active and stable catalyst was Ni + 2.0 Ga/S, having a conversion of 35% CO2 and 28% CH4 at 600 °C and displaying less (17%) carbon deposition. Furthermore, the DRM process was optimized by a mathematical model. The model determined the optimal conditions as follows: temperature (800 °C), gas flow rate (GHSV—30,000 ml h−1gcat−1), and methane to carbon dioxide ratio (1:1). The model predicts CH4 and CO2 conversions of 76.76% and 82.0%, respectively, and an H2/CO ratio of 1.02, compared to experimental results showing CH4 conversion at 74.56%, CO2 conversion at 83.25%, and an H2/CO ratio of 1.01. The model demonstrates excellent agreement with the experimental observations, exhibiting less than 3% error.
Graphical Abstract
A nested primal–dual iterated Tikhonov method for regularized convex optimization
Authors: Aleotti Stefano , Bonettini Silvia , Donatelli Marco , Prato Marco , Rebegoldi Simone 
Published: September 2024

AbstractProximal–gradient methods are widely employed tools in imaging that can be accelerated by adopting variable metrics and/or extrapolation steps. One crucial issue is the inexact computation of the proximal operator, often implemented through a nested primal–dual solver, which represents the main computational bottleneck whenever an increasing accuracy in the computation is required. In this paper, we propose a nested primal–dual method for the efficient solution of regularized convex optimization problems. Our proposed method approximates a variable metric proximal–gradient step with extrapolation by performing a prefixed number of primal–dual iterates, while adjusting the steplength parameter through an appropriate backtracking procedure. Choosing a prefixed number of inner iterations allows the algorithm to keep the computational cost per iteration low. We prove the convergence of the iterates sequence towards a solution of the problem, under a relaxed monotonicity assumption on the scaling matrices and a shrinking condition on the extrapolation parameters. Furthermore, we investigate the numerical performance of our proposed method by equipping it with a scaling matrix inspired by the Iterated Tikhonov method. The numerical results show that the combination of such scaling matrices and Nesterov-like extrapolation parameters yields an effective acceleration towards the solution of the problem.
Individual and contextual effects of attention in risky choice
Authors: Hirmas Alejandro , Engelmann Jan B. , Weele Joël van der 
Published: September 2024

AbstractWe investigate the role of visual attention in risky choice in a rich experimental dataset that includes eye-tracking data. We first show that attention is not reducible to individual and contextual variables, which explain only 20% of attentional variation. We then decompose attentional variation into individual average attention and trial-wise deviations of attention to capture different cognitive processes. Individual average attention varies by individual, and can proxy for individual preferences or goals (as in models of “rational inattention” or goal-directed attention). Trial-wise deviations of attention vary within subjects and depend on contextual factors (as in models of “salience” or stimulus-driven attention). We find that both types of attention predict behavior: average individual attention patterns are correlated with individual levels of loss aversion and capture part of this individual heterogeneity. Adding trial-wise deviations of attention further improves model fit. Our results show that a decomposition of attention into individual average attention and trial-wise deviations of attention can capture separable cognitive components of decision making and provides a useful tool for economists and researchers from related fields interested in decision-making and attention.
Peripartum cardiomyopathy: a comprehensive and contemporary review
Authors: Sigauke Farai Russell , Ntsinjana Hopewell , Tsabedze Nqoba 
Published: September 2024

AbstractCardiovascular disease is a major non-communicable disease globally, with increasing prevalence, posing a significant public health challenge. It is the leading non-obstetric cause of perinatal morbidity and mortality, with a substantial number of cardiac fatalities occurring in individuals without any known pre-existing cardiovascular disease. Peripartum cardiomyopathy is a type of de novo heart failure that occurs in pregnant women in the late stages of pregnancy or following delivery. Despite extensive research, diagnosing and managing peripartum cardiomyopathy remains challenging, resulting in significant morbidity and mortality. Recent advancements and novel approaches have been made to better understand and manage peripartum cardiomyopathy, including molecular and non-molecular biomarkers, genetic predisposition and risk prediction, targeted therapies, multidisciplinary care, and improved patient education. This narrative review provides a comprehensive overview and new perspectives on peripartum cardiomyopathy, covering its epidemiology, updated pathophysiological mechanisms, diagnosis, management, and future research directions for healthcare professionals, researchers, and clinicians.
Sense-Bestowal and Sense-Withdrawal
Authors: Breazu Remus 
Published: September 2024

AbstractAs is well known, sense-bestowal (Sinngebung) is a fundamental concept in Husserl’s transcendental phenomenology. Husserl considers that everything, including nonsense or absurdity, is a result of consciousness’ production of sense. In the following article, I will argue against this thesis. More precisely, I claim that there are experiences that are not characterised by sense-bestowal. These experiences, which, in my view, are directly related to Husserl’s concept of limit-phenomena, can be called sense-withdrawal experiences. In order to show this, the paper has the following structure: First, I will analyse the highly nuanced concept of sense-bestowal, drawing connections to the notion of constitution. Second, I will introduce the concept of limit-phenomena, which I will interpret in terms of sense-refusing experiences. This, in turn, will enable me to delve into the concept of sense-withdrawal, which will serve as the focal point of the final segment of the paper.
Patterns of Conflict and Post-Conflict Affiliation in Propithecus diadema and Eulemur fulvus
Authors: Ostad Rahimi Sara , Caillaud Damien , Lutz Meredith C. 
Published: September 2024

Abstract
Group-living in primates provides benefits but also entails competition and aggression. To retain the positive fitness-enhancing advantages of social bonding, individuals can reconcile past aggression. Reconciliation has been extensively studied in haplorrhine primates and occurs more frequently in more tolerant species, but whether this pattern extends to strepsirrhine primates, including lemurs, remains unclear, particularly given the differences in behavioral biology between the two primate suborders. We examined the occurrence of reconciliation behavior and its relationship with dominance hierarchy characteristics in wild populations of Propithecus diadema and Eulemur fulvus. We collected behavioral data on dominance and affiliation behaviors in the Maromizaha Protected Area, Madagascar, focusing on three P. diadema groups and two E. fulvus groups over 14 months between 2015 and 2020. The dominance hierarchies differed between species, with P. diadema exhibiting steeper within-group hierarchies than E. fulvus. We found evidence of reconciliation behavior in P. diadema, as affiliation was more likely to follow conflicts than during control periods, but we did not find this effect in E. fulvus. Furthermore, reconciliation tendencies in P. diadema were higher in male–male dyads and those with disparate ranks. These findings suggest that dominance hierarchy structure may be an important factor influencing reconciliation behavior across primates, although the nuances of the relationship seem to vary between our two strepsirrhine study species and traditional haplorrhine patterns. Further research is needed to determine whether these patterns are species-, site-, or group-specific. In conclusion, these results further our understanding of the differences between strepsirrhine and haplorrhine social evolution.
Mobilizing the Cultural Backlash: An Analysis of the Reception of Russian Strategic Narratives in a Far-Right Online Ecosystem
Authors: Valisa Jessica 
Published: September 2024

AbstractThis article analyzes the reception of Russian strategic narratives to understand which discursive elements contribute to their success, and especially to their adoption in the discourse emerging from far-right online outlets employing a qualitative approach. The analysis of a textual corpus of several hundred website-based articles from Italian far-right outlets revealed how Russia is imagined as an ideal and alternative political model, described as a harbinger of morality, independence, and culture, and it is juxtaposed to a weak and culturally decadent West. The result of the analysis shows how themes pertaining to the grievances of the cultural backlash majorly contribute to the themes informing the discourse summarized above, thus uncovering an important feature contributing to the success of such propaganda efforts among disenfranchised domestic publics.
Pregnancy rate and time to pregnancy after recurrent implantation failure (RIF)—a prospective cohort follow-up study
Authors: Stevens Brentjens Linda B. P. M. , Roumen Relinde J. E. , Smits Luc , Derhaag Josien , Romano Andrea , van Golde Ron J. T. , den Hartog Janneke E. 
Published: September 2024

Abstract
Purpose
The goal of this study was to determine ongoing pregnancy rate, time to pregnancy and embryo transfers to pregnancy within a cohort of patients with recurrent implantation failure (RIF).

Methods
IVF patients with RIF were included after referral to the RIF outpatient clinic. They received a questionnaire 1 year after inclusion. If data was missing, medical files were examined to determine pregnancy outcomes and conception methods. The ability of the RIF outpatient clinic to improve pregnancy chance or increase the number of patients who elected to continue treatment was beyond the scope of this study.

Results
The cumulative incidence of ongoing pregnancy in IVF patients with RIF (n = 79) after 1 year of follow-up was 40.5% (95% confidence interval = 30.4–51.5%). Median time to pregnancy was 4 months. Pregnancy incidence increased gradually up to 5 embryo transfers (mostly single embryo transfers). The average embryo transfers to pregnancy were 7.3 transfers.

Conclusion
In IVF patients with RIF, up until the 5th embryo transfer, each transfer represents a good opportunity for ongoing pregnancy. This data can be used to counsel patients that regular treatment continuation seems to be well justified even when IVF patients fulfil the RIF criteria.

Trial registration
CCMO: NL66835.068.18. METC 18–040. OMON: NL-OMON24778
Natural- and redirected walking in virtual reality: Spatial performance and user experience
Authors: De Back Tycho T. , Tinga Angelica M. , Louwerse Max M. 
Published: September 2024

AbstractImmersive virtual reality offers a range of unique possibilities. One of these is the realistic exploration of virtual worlds using natural walking. This however becomes difficult when the size of the virtual world exceeds that of the available physical space. Redirected walking in virtual reality presents a novel solution to this problem by typically making its users think to be walking in a straight line while they are in fact walking in a curve, thus allowing them to physically walk long distances in confined physical spaces. Yet, few studies have examined the effects of redirected walking on variables such as spatial memory, navigation and user experience as compared to other immersive and non-immersive locomotion methods. In a maze task we examined 1) redirected- and 2) natural walking in immersive virtual reality conditions, and 3) artificial locomotion on a non-immersive desktop monitor. Walked path lengths became shorter and distance estimates, object location memory and user experience improved using natural walking compared to a monitor condition. However, redirected walking yielded similar performance to natural walking while requiring less physical space, opening up possibilities for more pervasive use of real locomotion in virtual environments.
Residual encoder-decoder based architecture for medical image denoising
Authors: Ferdi Abdesselam , Benierbah Said , Nakib Amir 
Published: September 2024

AbstractHigh-resolution computed tomography (CT) scans require high doses of X-rays, posing potential health risks to patients, including genetic damage and cancer. Conversely, low doses of X-rays result in noise and artifacts in the reconstructed CT scans. Consequently, the problem of denoising low-dose CT (LDCT) images has become a critical yet challenging issue in the field of CT imaging. However, existing deep learning-based LDCT image denoising methods frequently result in the loss of high-frequency features, such as edges and textures, due to the use of mean squared error loss. To address this issue, we propose a method based on high-frequency feature learning to enhance the denoising performance of existing models. Our method is designed to simultaneously learn the primary task of LDCT image denoising and the auxiliary task of LDCT edge detection, thereby improving the denoising performance without increasing the number of model parameters and the inference time. Our method significantly improves the denoising performance of the RED-CNN model, achieving competitive results compared to state-of-the-art denoising models on the AAPM and Qin-LUNG-CT datasets.
The 3D tree dataset: an artistic experiment using a voxel-based GAN
Authors: Nelson Peter , Mai Jianming , Au Ryan 
Published: September 2024

AbstractIn visual culture, Generative Adversarial Networks (GANs) have been used to generate two-dimensional images, video, and three-dimensional forms. Whilst there are a relatively large number of conditional datasets of two-dimensional images, there are fewer datasets of three-dimensional objects available for training, evaluation, and practical use. In this paper, we introduce a synthetic dataset of 3D trees that provide novel geometric challenges for machine learning and describe our use of this dataset in training and qualitative evaluation via a public exhibition and survey. The 3D Tree Dataset was made using random variations of 76 bespoke tree templates based on art historical references to favor interesting, beautiful, and varied trunk and branch shapes. In generating and experimenting with this dataset, we wanted to know how a geometrically complex series of organic forms would challenge voxel-GANs compared to existing datasets comprising industrial objects such as chairs and cars. As an interdisciplinary project between visual arts and computer science, we used 3D printing and animation to visualize and communicate our outputs to non-specialist audiences. In this paper, we describe and share the 3D Tree Dataset, outline the process of generating the dataset, describe the GAN architecture and application used to test the dataset and discuss the results relative to our artistic and cultural goals.
Experimental validation of escape mechanisms in a bi-stable potential well
Authors: Genda Attila , Fidlin Alexander , Gendelman Oleg 
Published: September 2024

AbstractThis paper experimentally studies escape mechanisms in a bi-stable potential well, focusing on critical forcing values depending on system damping, excitation frequency, and initial phase. The experimental setup has a rotational degree of freedom. It comprises a vertical shaft with adjustable air bearings and a copper disk that increases the moment of inertia and serves as an adjustable eddy current brake. The system also includes two coil springs that provide restoring moments. External momentum is provided by an electric motor controlled through a function generator. The paper describes the identification of system parameters and compares numerical and experimental results, validating previous theoretical and numerical findings regarding the saddle and maximum escape mechanisms.
Impact of Different Packaging Configurations on A Topical Cream Product
Authors: Mohammed Yousuf H. , Namjoshi S. N. , Telaprolu K. C. , Jung N. , Shewan H. M. , Stokes J. R. , Benson H. A. E. , Grice J. E. , Raney S. G. , Rantou E. , Windbergs Maike , Roberts Michael S. 
Published: September 2024

Abstract
Purpose
The objective of this study was to investigate whether different dispensing processes can alter the physicochemical and structural (Q3) attributes of a topical cream product, and potentially alter its performance.

Methods
Acyclovir cream, 5% (Zovirax®) is sold in the UK and other countries in a tube and a pump packaging configurations. The structural attributes of the cream dispensed from each packaging configuration were analyzed by optical microscopy, confocal Raman microscopy and cryo-scanning electron microscopy. Rheological behavior of the products was also evaluated. Product performance (rate and extent of skin delivery) was assessed by in vitro permeation tests (IVPT) using heat-separated human epidermis mounted in static vertical (Franz-type) diffusion cells.

Results
Differences in Q3 attributes and IVPT profiles were observed with creams dispensed from the two packaging configurations, even though the product inside each packaging appeared to be the same in Q3 attributes. Visible globules were recognized in the sample dispensed from the pump, identified as dimethicone globules by confocal Raman microscopy. Differences in rheological behaviour could be attributed to these globules as products not dispensed through the pump, demonstrated a similar rheological behaviour. Further, IVPT confirmed a reduced rate and extent to delivery across human epidermis from the product dispensed through a pump.

Conclusions
Different methods of dispensing topical semisolid products can result in metamorphosis and Q3 changes that may have the potential to alter the bioavailability of an active ingredient. These findings have potential implications for product developers and regulators, related to the manufacturing and comparative testing of reference standard and prospective generic products dispensed from different packaging configurations.
An optimization of traditional CPU emulation techniques for execution on a quantum computer
Authors: Fitzjohn James , Wilson George , Vicinanza Domenico , Winckles Adrian 
Published: September 2024

AbstractThe use and adoption of quantum computers by the wider computing community is diminished by the need to adopt new programming techniques. These techniques involve moving from a high-level language where the programmer can define and manipulate objects, to a quantum model where the programmer defines and configures the circuits at a gate level. Previous work by the authors aimed to ease this transition through the use of a software development kit (Qx86 SDK) that emulates a traditional CPU for execution on a quantum computer, but only delivered a raw capability. The current work now presents a number of new methods that extends and improves the SDK's capability. These methods include optimizing traditional logic gate emulation, multiple gate simplification methods, reducing the number of required qubits and alternative optimized techniques for many CPU instructions. A quantum machine code mapping method is described that enhances the emulation of a traditional/quantum hybrid CPU prototype. While still orders of magnitude slower than the performance of a traditional CPU in terms of arithmetic, logic and bitwise operations, execution speed is shown to be markedly improved (in some cases by more than 1,000%) and without introducing any unrealistic requirements (that is, all execution can be performed utilizing less than 32 qubits). The usefulness of the SDK has now been enhanced as a reference guide, where the programmer/researcher can contrast traditional methods versus multiple quantum methods of execution.