bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic environment UAV deployment algorithm based on potential game theory
Authors: Gu Chuan , Wu Binbin , Guo Daoxing , Jiang Hao 
Published: September 2024

AbstractTo address the issue of low coverage resulting from the challenge of acquiring the optimal deployment position in commonly used distributed deployment algorithms, this study presents a three‐dimensional deployment algorithm for Unmanned Aerial Vehicles (UAVs) based on potential games. First, a local mutually beneficial game model is designed to demonstrate the existence of exact potential games and Nash equilibrium. The Nash equilibrium solution corresponds to the maximum coverage. Next, drawing inspiration from exploration, a solution method called Exploration Spatial Adaptive Play is proposed. It utilizes the maximum utility function value from multiple step sizes in the exploration direction to update the action selection probability, thereby ensuring the optimal deployment position in each decision cycle. To address the issue of sensor position error, a method for processing sensor position errors is proposed. The simulation results demonstrate that the proposed distributed deployment algorithm achieves higher coverage compared to commonly used methods.
Predictive control method with conduction mode detection to suppress input current distortion of three‐level power factor correction
Authors: Xie Xifeng , Shu Zeliang , Chen Rongxin , Yin Jianghong , Ling Chunxiang 
Published: September 2024

AbstractA novel predictive control method with conduction mode detection is proposed to suppress input current distortion of three‐level power factor correction (PFC) converters. In PFC converter, the input current is mostly distorted in continuous conduction mode (CCM) with conventional control methods. The proposed predictive control method comprises of a predictive CCM algorithm, a predictive discontinuous conduction mode (DCM) algorithm, and a conduction mode detection technique. By analysing four switching states of PFC converter and based on the inductor current ripple, predictive control duty cycles in CCM and DCM are derived, and the optimal duty cycle is determined by forecasting the next cycle current. According to the duty cycle characteristics, the conduction mode is detected without additional detection algorithms and circuits, achieving the input current tracking the input voltage. Finally, the effectiveness and correctness of the proposed predictive control method are validated through simulation and experiment.
Reconfiguration of active distribution networks as a means to address generation and consumption dynamic variability
Authors: Avilés Juan , Guillen Daniel , Ibarra Luis , Dávalos‐Soto Jesús Daniel 
Published: September 2024

AbstractThe integration of alternative energy sources, storage systems, and modern loads into the distribution grid is complicating its operation and maintenance. Variability in individual generation and consumption elements dynamically affects voltage profiles, which in turn undermines efficiency and power quality. This study proposes to address this dynamical variability using an online reconfiguration approach that involves opening and closing switches to modify the grid's topology and adjust voltage levels in response to load/generation variations. Other grid optimization techniques, based on reconfiguration, typically focus on static, fully instrumented grids with predictable parameters and homogeneous changes, aiming to minimize power losses but overlooking the dynamics of variable grid elements. This study proposes a testing approach that is dependent on the estimated transient status of the grid only using a limited number of measurement units and considering the individual‐stochastic variations of loads and generators. The proposed approach was tested on the IEEE 33‐bus test feeder with up to five varying distributed generators. The results confirm that the algorithm consistently finds a reconfiguration alternative that could enhance system efficiency and voltage profiles, even in the face of dynamic load/generator behavior, demonstrating its effectiveness and online adaptability for grid operation and management tasks.
Supervised star, galaxy, and QSO classification with sharpened dimensionality reduction
Authors: Lourens M. A. A. , Trager S. C. , Kim Y. , Telea A. C. , Roerdink J. B. T. M. 
Published: September 2024

Aims. We explored the use of broadband colors to classify stars, galaxies, and quasi-stellar objects (QSOs). Specifically, we applied sharpened dimensionality reduction (SDR)-aided classification to this problem, with the aim of enhancing cluster separation in the projections of high-dimensional data clusters to allow for better classification performance and more informative projections.
Methods. The main objective of this work was to apply SDR to large sets of broadband colors derived from the CPz catalog to obtain projections with clusters of star, galaxy, and QSO data that exhibit a high degree of separation. The SDR method achieves this by combining density-based clustering with conventional dimensionality-reduction techniques. To make SDR scalable and have the ability to project samples using the earlier-computed projection, we used a deep neural network trained to reproduce the SDR projections. Subsequently classification was done by applying a k-nearest neighbors (k-NN) classifier to the sharpened projections.
Results. Based on a qualitative and quantitative analysis of the embeddings produced by SDR, we find that SDR consistently produces accurate projections with a high degree of cluster separation. A number of projection performance metrics are used to evaluate this separation, including the trustworthiness, continuity, Shepard goodness, and distribution consistency metrics. Using the k-NN classifier and consolidating the results of various data sets, we obtain precisions of 99.7%, 98.9%, and 98.5% for classifying stars, galaxies, and QSOs, respectively. Furthermore, we achieve completenesses of 97.8%, 99.3%, and 86.8%, respectively. In addition to classification, we explore the structure of the embeddings produced by SDR by cross-matching with data from Gaia DR3, Galaxy Zoo 1, and a catalog of specific star formation rates, stellar masses, and dust luminosities. We discover that the embeddings reveal astrophysical information, which allows one to understand the structure of the high-dimensional broadband color data in greater detail.
Conclusions. We find that SDR-aided star, galaxy, and QSO classification performs comparably to another unsupervised learning method using hierarchical density-based spatial clustering of applications with noise (HDBSCAN) but offers advantages in terms of scalability and interpretability. Furthermore, it outperforms traditional color selection methods in terms of QSO classification performance. Overall, we demonstrate the potential of SDR-aided classification to provide an accurate and physically insightful classification of astronomical objects based on their broadband colors.
Planetary nebulae seen with TESS: New and revisited short-period binary central star candidates from Cycles 1 to 4
Authors: Aller Alba , Lillo-Box Jorge , Jones David 
Published: September 2024

Context. High-precision and high-cadence photometric surveys such as Kepler or TESS are making huge progress not only in the detection of new extrasolar planets but also in the study of a great number of variable stars. This is the case for central stars of planetary nebulae (PNe), which have similarly benefited from the capabilities of these missions, increasing the number of known binary central stars and helping us to constrain the relationship between binarity and the complex morphologies of their host PNe.
Aims. In this paper, we analyse the TESS light curves of a large sample of central stars of PNe with the aim of detecting signs of variability that may hint at the presence of short-period binary nuclei. This will have important implications in understanding PN formation evolution as well as the common envelope phase.
Methods. We analysed 62 central stars of true, likely, or possible PNe and modelled the detected variability through an MCMC approach accounting for three effects: reflection, ellipsoidal modulations due to tidal forces, and the so-called Doppler beaming. Among the 62 central stars, only 38 are amenable for this study. The remaining 24 show large contamination from nearby sources preventing an optimal analysis. Also, eight targets are already known binary central stars, which we revisit here with the new high precision of the TESS data.
Results. In addition to recovering the eight already known binaries in our sample, we find that 18 further central stars show clear signs of periodic variability in the TESS data, probably resulting from different physical effects compatible with the binary scenario. We propose them as new candidate binary central stars. We also discuss the origin of the detected variability in each particular case by using the TESS_localize algorithm. Finally, 12 targets show no or only weak evidence of variability at the sensitivity of TESS.
Conclusions. Our study demonstrates the power of space-based photometric surveys in searching for close binary companions of central stars of PNe. Although our detections can only be catalogued as candidate binaries, we find a large percentage of possible stellar pairs associated with PNe, supporting the hypothesis that binarity plays a key role in shaping these celestial structures.
Sifting the debris: Patterns in the SNR population with unsupervised ML methods
Authors: Bufano F. , Bordiu C. , Cecconello T. , Munari M. , Hopkins A. , Ingallinera A. , Leto P. , Loru S. , Riggi S. , Sciacca E. , Vizzari G. , De Marco A. , Buemi C. S. , Cavallaro F. , Trigilio C. , Umana G. 
Published: September 2024

Context. Supernova remnants (SNRs) carry vast amounts of mechanical and radiative energy that heavily influence the structural, dynamical, and chemical evolution of galaxies. To this day, more than 300 SNRs have been discovered in the Milky Way, exhibiting a wide variety of observational features. However, existing classification schemes are mainly based on their radio morphology.
Aims. In this work, we introduce a novel unsupervised deep learning pipeline to analyse a representative subsample of the Galactic SNR population (~50% of the total) with the aim of finding a connection between their multi-wavelength features and their physical properties.
Methods. The pipeline involves two stages: (1) a representation learning stage, consisting of a convolutional autoencoder that feeds on imagery from infrared and radio continuum surveys (WISE 22 μm, Hi-GAL 70 μm and SMGPS 30 cm) and produces a compact representation in a lower-dimensionality latent space; and (2) a clustering stage that seeks meaningful clusters in the latent space that can be linked to the physical properties of the SNRs and their surroundings.
Results. Our results suggest that this approach, when combined with an intermediate uniform manifold approximation and projection (UMAP) reprojection of the autoencoded embeddings into a more clusterable manifold, enables us to find reliable clusters. Despite a large number of sources being classified as outliers, most clusters relate to the presence of distinctive features, such as the distribution of infrared emission, the presence of radio shells and pulsar wind nebulae, and the existence of dust filaments.
Interdisziplinäre Betreuung von Patienten mit Diabetes und Nierenerkrankungen
Authors: Schmidt Sebastian , Busch Martin , Wolf Gunter 
Published: September 2024

ZUSAMMENFASSUNGDie Prävalenz von Diabetes mellitus steigt weltweit. Die kardiovaskuläre und die renale Komorbidität und Mortalität sind bei Diabetes mellitus deutlich erhöht, was die Gesundheitssysteme belastet. Mithilfe des Einsatzes von evidenzbasierten antidiabetischen Therapien und von Diabetestechnik sowie der Mitbehandlung von modifizierbaren Risikofaktoren können Menschen mit Diabetes eine höhere Lebenserwartung mit einer besseren Lebensqualität erreichen. Nur durch eine strukturierte interdisziplinäre Betreuung von Personen mit Diabetes können Therapieoptionen frühzeitig angewendet und diabetische mikro- und makrovaskuläre Folgekrankheiten verhindert oder verzögert werden. Das Zusammenspiel zwischen Herz, Niere und metabolischen Erkrankungen tritt zunehmend in den Vordergrund, sodass die verzahnte Kooperation aller beteiligten Fachdisziplinen gefordert ist. Dieser Artikel fokussiert auf die Relevanz der interdisziplinären Betreuung speziell von Patienten mit Diabetes mit einer bestehenden Nierenerkrankung auf der Grundlage neuer Krankheitsmodelle und Therapieoptionen.
Ultrasonographic Evaluation of Morphological Changes in Peripheral
Nerves after Traumatic Injury and Nerve Repair – A Prospective
Study
Authors: Dietrich Léna G. , Juon Bettina , Wirtz Christian , Vögelin Esther 
Published: September 2024

Abstract
Purpose Ultrasound (US) has gained in importance for the visualization of
morphological changes of injured nerves. After surgical repair, changes in
neural structures are seen over time. The correlation of morphologic changes in
US with the corresponding nerve function is uncertain. The aim of this study is
to determine a correlation of post-traumatic morphological nerve changes with US
and with nerve function after surgery.
Materials and Methods This dual-center, prospective cohort study was
conducted between 2017 and 2022 and included 20 mixed sensory motor nerve
lesions. Patients were followed up clinically (sensitivity, pain, and motor
function) with US and electroneuromyography. We determined the US changes of the
nerves including the interaction of the tissue after nerve repair and any
correlation with nerve function. With US nerve cross-sectional area (CSA), the
number of traversing fascicles, hypo-echogenicity, and presence of perineural
scar were analyzed.
Results 20 lesions (12 median and 8 ulnar nerves) of 18 patients with
intraoperatively confirmed nerve injury of at least 50% in the forearm were
included. The average CSA was over 20 mm2 throughout the follow-up
period, corresponding to a neuroma in continuity compared to the opposite side
(10.75 mm2). Sensibility and motor function at 12 months were
6xS3/4 and 10xM3-5. There was a statistically significant correlation between
continuous fascicles on US at 6 months and sensitivity at 12 months.
Conclusion This study supports the presence of post-traumatic
morphological changes in nerve fibers with US after traumatic injury.
Morphological changes in nerve structure after trauma can be detected with US
indicating a correlation between continuity of nerve fascicles and development
of sensitivity and motor function.
Emergency Endotracheal Intubations at a Pediatric Intensive Care Unit—Incidence and Hemodynamic Complications
Authors: Georgiev Yordan H. , Neunhoeffer Felix , Kumpf Matthias , Hofbeck Michael , Saeed Danial , Michel Jörg , Gross Maximilian 
Published: September 2024

AbstractEmergency tracheal intubation (TI) in a critically ill child is a life-saving, high-risk procedure often associated with adverse events and complications. Efforts have been undertaken to increase the safety of TIs. Integrated checklists, simulation-based training, and video laryngoscope-assisted intubations have proven effective. The study's primary aim was to evaluate the frequency of emergency TIs at a pediatric intensive care unit (PICU) and to examine the incidence of peri-intubation hemodynamic complications. We conducted a single-center, retrospective analysis of unplanned (nonelective and emergency) intubations in a multidisciplinary PICU. Patients between 0 and 18 years admitted from January 2020 until December 2022 were included in the analysis. There was a total of 144 emergency TIs. In 92.6% of the cases, an underlying chronic disease existed. The most common indication for emergency TI was respiratory failure (61.0%). Adverse intubation-associated hemodynamic events were found in 18 (12.5%), cardiac arrest in 6 (4.2%), and emergency TI under ongoing cardiopulmonary resuscitation (CPR) in 12 (8.3%) cases. Twenty-two (15.3%) children died during the PICU stay after emergency TI due to the underlying condition. In the group of children showing adverse hemodynamic effects after TI, fewer children were on noninvasive respiratory support (50 vs. 75.2%, p = 0.007) and received catecholamine therapy more frequently before complicated emergency TI than those without complicated emergency TI (62.5 vs. 38.0%, p = 0.039). Children in the latter group had both a longer duration of mechanical ventilation (11 vs. 7 days, p = 0.045) and a longer PICU stay (18 vs. 12 days, p = 0.042) compared with the group of complicated emergency TIs. Most emergency TIs (59.0%) occurred off-hours, between 7 p.m. and 7 a.m., or on weekends. Emergency TIs occur unexpectedly, often outside regular operating hours, and are associated with a higher mortality and morbidity rate. Using noninvasive respiratory support could potentially reduce adverse intubation-associated hemodynamic events in emergency TI.
A Preliminary Comparative Study on the Centering Algorithms for Cassini-ISS NAC Images
Authors: Liang T. , Zhang Q.-F. , Liu G.-M. , Zhu W.-H. , Wang C.-S. 
Published: September 2024

Abstract
Obtaining high precision is an important consideration for astrometric studies using images from the Narrow Angle Camera (NAC) of the Cassini Imaging Science Subsystem (ISS). Selecting the best centering algorithm is key to enhancing astrometric accuracy. In this study, we compared the accuracy of five centering algorithms: Gaussian fitting, the modified moments method, and three point-spread function (PSF) fitting methods (effective PSF (ePSF), PSFEx, and extended PSF (xPSF) from the Cassini Imaging Central Laboratory for Operations (CICLOPS)). We assessed these algorithms using 70 ISS NAC star field images taken with CL1 and CL2 filters across different stellar magnitudes. The ePSF method consistently demonstrated the highest accuracy, achieving precision below 0.03 pixels for stars of magnitude 8–9. Compared to the previously considered best, the modified moments method, the ePSF method improved overall accuracy by about 10% and 21% in the sample and line directions, respectively. Surprisingly, the xPSF model provided by CICLOPS had lower precision than the ePSF. Conversely, the ePSF exhibits an improvement in measurement precision of 23% and 17% in the sample and line directions, respectively, over the xPSF. This discrepancy might be attributed to the xPSF focusing on photometry rather than astrometry. These findings highlight the necessity of constructing PSF models specifically tailored for astrometric purposes in NAC images and provide guidance for enhancing astrometric measurements using these ISS NAC images.
Synthesis, characterization, and cellular investigation of three smart polymeric nanoparticles as efficient plasmid CRISPR (pCRISPR) delivery vehicles
Authors: Khodaei Roya , Bayandori Mehrdad , Sarpoli Leila Mohammad Gholinia , Souri Masoumeh , Hasanzade Iraj , Khodaee Ronak , Saeedi Sara , Kiani Jafar , Karimi Mahdi 
Published: September 2024

Abstract

Purpose. Gene therapy is a strategy to provide therapeutic advantages by modifying genes, and CRISPR/Cas9 is the simplest and the most efficient gene editing technology. Appropriate smart nanocarriers are a promising way to deliver these gene editing tools into cells efficiently. Methods. In this study, three novel smart nanocarriers were prepared for CRISPR/Cas9 delivery into PC12 cells. We designed a smart polyplex using synthetic redox-responsive polyethyleneimine (rPEI) made by crosslinked PEI ∼ 2 KD and pCRISPR using electrostatic interactions. Then, to avoid unwanted interactions with blood ingredients three natural polysaccharides with negative charge, hyaluronic acid (HA), chondroitin sulfate (CS), and alginate(ALG) have been used separately as outer shells. Additionally, nanocarriers were characterized in terms of zeta potential, size distribution, and loading efficiency. Finally, the cytotoxicity of nanocarriers and GFP gene expression were evaluated. Results. The average size of the nanocarriers with outer coats of HA, ALG, and CS was around 47, 66.5, and 309 nm, respectively. Furthermore, these three nanocarriers indicated a high loading efficiency, high capacity for cellular uptake (>90%), and no significant toxicity. The pCRISPR expression amount was estimated up to 21%. Conclusion. These redox-responsive polymeric nanocarriers suggest novel and efficient carriers for CRISPR/Cas9 delivery.
Pedagogy
Authors: Higgins Lee 
Published: September 2024

Abstract
This think piece asks whether community music has a pedagogy. By considering the historical roots of nonformal learning, this chapter teases out the key features of nonformal learning. It explores how these ideas have been utilized within community music practices. Considering facilitation as the central strategy, this chapter explores a continuum including informal and formal learning. Distinctive traits of facilitation are described, and illustrations of practice help illuminate the mechanisms community musicians use within their work. Each example is plotted on a diagram shaped like mixing desks that aid understanding. In conclusion, it is noted that as the field expands, its contribution to the musical ecosystem becomes more influential. To continue and increase its influence within these more extensive conversations, is it time for community musicians to shake off an entrenched sense of being in opposition to “traditional,” “formal” ways of engaging people in music? If the approaches to practice offer repeatable and commonly used processes, is it time to consider these collective traits and name the approach in terms of community music pedagogy?
Social Justice
Authors: Higgins Lee 
Published: September 2024

Abstract
Community musicians focus on creating environments where, through musical interaction, individuals and communities can take charge of their self-expression and shape their futures. In this sense, community musicians set out as agents of change, often under the auspices of what might be described as a framework of social justice. Exploring ideas associated with a promise of justice, this think piece asks, How might social justice be understood as a framework for community music practice? Engaging in Derrida’s invitation to return to the question of justice, this chapter works toward an idea of “hospitable music making,” an open embrace toward those who wish to participate in active music making and those who just might. Seeking to spark conversation, the author encourages discussion regarding the necessity of community music as a vital field in these challenging and turbulent times.
Music
Authors: Higgins Lee 
Published: September 2024

Abstract
In this think piece, the author asks, How might we understand the “music” in community music? The question seeks to address possible ways that those working in the field might describe the “music,” or “musics,” being made by the participants they work with and, to some extent, why it might be deemed valuable. Using three “critical incidents” as concrete examples, I explore three philosophical lines of enquiry: David Elliott and Marissa Silverman’s praxis, Derrida’s always-already, and Deleuze’s expression. Although there is some consideration of the intersections between these three ideas, the purpose of the chapter is to present a conceptual offering to spark thought and discussion.