bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gamma-ray burst spectral-luminosity correlations in the synchrotron scenario
Authors: Mei Alessio , Oganesyan Gor , Macera Samanta 
Published: December 2024

Context. For over two decades, gamma-ray burst (GRB) prompt emission spectra were modeled with smoothly broken power laws (Band function), and a positive and tight correlation between the spectral rest-frame peak energy, Ep,z, and the total isotropic-equivalent luminosity, Liso, was found, constituting the so-called Yonetoku relation. However, more recent studies show that many prompt emission spectra are well described by the synchrotron radiation model, and hence significantly deviate from the Band function.
Aims. In this work, we test the impact of a more refined spectral model such as an idealized synchrotron spectrum from nonthermal electrons on the Yonetoku relation and its connection with physical parameters.
Methods. We selected GRBs with measured redshift observed by Fermi/GBM together with high-energy observations (> 30 MeV), and performed a spectral analysis, dividing them in two samples: the single-bin sample, using the light curve peak spectrum of each GRB, and the multiple-bin sample, for which we explored the whole duration of 13 bright bursts with time-resolved spectral analysis.
Results. We observed that the Ep,z of synchrotron spectra in a fast-cooling regime (νm/νc ≫ 1) is generally larger than the one provided by the Band function. For this reason, we do not find any Ep,z−Liso correlation in our samples except for the GRBs in an intermediate-cooling regime (1< νm/νc< 3); namely, where peak and break energies are very close. We instead find in both our samples a new tight correlation between the rest-frame cooling frequency, νc, z, and Liso: νc,z ∝ Liso(0.53±0.06).
Conclusions. These results suggest that, assuming that prompt emission spectra are produced by synchrotron radiation, the physical relation is between νc, z and Liso. The fit of the Band function to an intrinsic synchrotron spectrum returns peak energy values of Ep,zBand ∼ νc,z. This may explain why the systematic interpretation of prompt spectra through the Band function returns the Ep, z − Liso relation.
ALMA-IMF
Authors: Motte F. , Pouteau Y. , Nony T. , Dell’Ova P. , Gusdorf A. , Brouillet N. , Stutz A. M. , Bontemps S. , Ginsburg A. , Csengeri T. , Men’shchikov A. , Valeille-Manet M. , Louvet F. , Bonfand M. , Galván-Madrid R. , Álvarez-Gutiérrez R. H. , Armante M. , Bronfman L. , Chen H.-R. V. , Cunningham N. , Díaz-González D. , Didelon P. , Fernández-López M. , Herpin F. , Kessler N. , Koley A. , Lefloch B. , Le Nestour N. , Liu H.-L. , Moraux E. , Nguyen Luong Q. , Olguin F. , Salinas J. , Sandoval-Garrido N. A. , Sanhueza P. , Veyry R. , Yoo T. 
Published: December 2024

Context. The ALMA-IMF Large Program imaged 15 massive protoclusters down to a resolution of ~2 kau scales, identifying about 103 star-forming cores. The mass and luminosity of these cores, which are fundamental physical characteristics, are difficult to determine, a problem greatly exacerbated at the distances ≥2 kpc of ALMA-IMF protoclusters.
Aims. We combined new datasets and radiative transfer modeling to characterize these cores. We estimated their mass-averaged temperature and the masses these estimates imply. For one-sixth of the sample, we measured the bolometric luminosities, implementing deblending corrections when necessary.
Methods. We used spectral energy distribution (SED) analysis obtained with the point process mapping (PPMAP) Bayesian procedure, which aims to preserve the best angular resolution of the input data. We extrapolated the luminosity and dust temperature images provided by PPMAP at 2.5″ resolution to estimate those of individual cores, which were identified at higher angular resolution. To do this, we applied approximate radiative transfer relationships between the luminosity of a protostar and the temperature of its surrounding envelope and between the external heating of prestellar cores and their temperatures.
Results. For the first time, we provide data-informed estimates of dust temperatures for 882 cores identified with ALMA-IMF: 17–31 K and 28–79 K (5th and 95th percentiles, up to 127 K) for the 616 prestellar and 266 protostellar cores, respectively. We also measured protostellar luminosities spanning 20–80 000 L⊙.
Conclusions. Dust temperatures previously estimated from SED-based analyses at a comparatively lower resolution validate our method. For hot cores, on the other hand, we estimated systematically lower temperatures than studies based on complex organic molecules. We established a mass-luminosity evolutionary diagram, for the first time at the core spatial resolution and for a large sample of intermediate- to high-mass protostellar cores. The ALMA-IMF data favor a scenario in which protostars accrete their mass from a larger mass reservoir than their host cores.
Effects of cold electron emissions on thermal plasma measurements on board Solar Orbiter spacecraft
Authors: Štverák Š. , Herčík D. , Nicolaou G. , Hellinger P. , Popďakunik M. , Khotyaintsev Yu. V. , Kataria D. O. , Owen C. J. , Maksimovic M. 
Published: December 2024

Aims. Emissions of photo and secondary electrons influence thermal electron measurements on board spacecraft, typically below a threshold determined by the spacecraft’s potential. We aim to examine and quantify this contamination of the observed low-energy electron fluxes. We seek to provide effective constraints for the correction methods used to accurately estimate unperturbed solar wind plasma parameters in the context of the Solar Orbiter mission.
Methods. We performed a long-term statistical analysis of electron velocity distribution functions acquired by the Electron Analyser System experiment, which is part of the Solar Orbiter’s Solar Wind Analyser suite of instruments. We employed analytical fits of time-averaged phase space density spectra to identify the energy break separating ambient solar wind electron populations from cold electron populations emitted by the spacecraft body. We analysed correlations between the observed energy break and the spacecraft potential, as well as other relevant plasma properties.
Results. Our analysis indicates that in contrast to other space missions, emitted electrons from the spacecraft are detected even above the spacecraft potential energy. The derived energy break is found to be uncorrelated with the measured spacecraft potential, but it is correlated strongly with the ambient electron temperature. We attribute this behaviour to the Solar Orbiter’s geometric configuration, which can result in the detection of electrons emitted from spacecraft surfaces that are located far from the instrument’s detector. We derived a theoretical expression for the energy break, assuming Maxwellian distribution functions for both the ambient and spacecraft electrons. This provides an effective constraint for the observed contamination by spacecraft electrons.
Development of convective envelopes in massive stars
Authors: Romagnolo A. , Klencki J. , Vigna-Gómez A. , Belczynski K. 
Published: December 2024

Context. The structure of stellar envelopes strongly influences the course and outcome of binary mass transfer, in particular of common-envelope (CE) evolution. Convective envelopes can most easily be ejected during CE events, leading to short-period binaries and, potentially, gravitational-wave (GW) sources. Conversely, radiative envelopes are thought to lead to CE mergers and Thorne-Żytkow objects (TŻOs) or quasi-stars (QSs).
Aims. Rapid binary models based on Hurley et al. (2000, MNRAS, 315, 543) often assume that any CE event with a Hertzsprung gap donor results in a CE merger, in tension with the literature. We improve on this assumption with a more self-consistent criterion based on the presence of a convective envelope.
Methods. Using 1D stellar models (MESA), we systematically investigated the development of convective envelopes in massive stars. We provided fitting formulae for rapid binary codes and implemented them into the StarTrack population synthesis code to refine the CE treatment and examined the impact on GW sources, TŻOs, and QSs.
Results. We show that convective envelopes in massive stars are highly sensitive to the treatment of superadiabacity and the mixing length. Our revised CE model significantly reduces (by a factor ∼20) the predicted merger rate of binary black hole (BH-BH) mergers with total masses between ∼20 and 50 M⊙. This leads to a bimodal mass distribution with a strong metallicity dependence. We also predict that the current TŻO–QS formation rate in the Galaxy (up to ∼10−4 yr−1), combined with their predicted lifetimes, makes their detection unlikely.
Conclusions. Our study strongly suggests that the role of CE evolution in the formation of BH-BH mergers has been considerably overestimated for BH-BH mergers with Mtot ≥ 20 M⊙. We highlight that any prediction from the CE channel for massive BH-BH mergers (> 50 M⊙) heavily hinges on our limited understanding of stellar structure and mass loss close to the Eddington limit.
From Code to Clots: Applying Machine Learning to Clinical Aspects of Venous Thromboembolism Prevention, Diagnosis, and Management
Authors: Chrysafi Pavlina , Lam Barbara , Carton Samuel , Patell Rushad 
Published: December 2024

AbstractThe high incidence of venous thromboembolism (VTE) globally and the morbidity and mortality burden associated with the disease make it a pressing issue. Machine learning (ML) can improve VTE prevention, detection, and treatment. The ability of this novel technology to process large amounts of high-dimensional data can help identify new risk factors and better risk stratify patients for thromboprophylaxis. Applications of ML for VTE include systems that interpret medical imaging, assess the severity of the VTE, tailor treatment according to individual patient needs, and identify VTE cases to facilitate surveillance. Generative artificial intelligence may be leveraged to design new molecules such as new anticoagulants, generate synthetic data to expand datasets, and reduce clinical burden by assisting in generating clinical notes. Potential challenges in the applications of these novel technologies include the availability of multidimensional large datasets, prospective studies and clinical trials to ensure safety and efficacy, continuous quality assessment to maintain algorithm accuracy, mitigation of unwanted bias, and regulatory and legal guardrails to protect patients and providers. We propose a practical approach for clinicians to integrate ML into research, from choosing appropriate problems to integrating ML into clinical workflows. ML offers much promise and opportunity for clinicians and researchers in VTE to translate this technology into the clinic and directly benefit the patients.
Concise Total Synthesis of Crambescin B Methyl Ester
Authors: Nakazaki Atsuo , Tandai Kotaro , Nishikawa Toshio 
Published: December 2024

AbstractIn this study, a concise total synthesis of crambescin B methyl ester, a cyclic guanidine alkaloid, has been achieved. The key aspects of this new approach include (1) A Mannich reaction between an α-amidosulfone and a β-keto ester to construct the main scaffold, and (2) acid-catalyzed dehydrative cyclization, leading to an enol ether in a highly stereoselective manner. This synthetic approach is nine steps shorter than our previously published method.
Percutaneous Cholecystostomy: Procedural Guidance and Future Directions for Clinical Management
Authors: Koushesh Pouria , Ayaz Talha , Tullius Thomas 
Published: December 2024

AbstractPercutaneous cholecystostomy (PC) is a recognized treatment option for the management of acute cholecystitis and is an integral component of the treatment algorithm in the 2018 Tokyo Guidelines. The utilization of PC has significantly increased over the past 30 years, particularly in the setting of critically ill patients and those with extensive comorbidities who are poor surgical candidates. The indications, complications, patient selection considerations, and technical complexities of the procedure will be discussed. Postprocedural drain management and the potential for shortened indwelling time are reviewed.
Activities and social settings: Their roles in the use of referring expressions
Authors: de Weck Geneviève , Hassan Rouba , Heurdier Julien , Klein Janina , Salagnac Nathalie 
Published: December 2024

Abstract
We investigated the influence of activity and social
setting on the use of referring expressions in French-speaking
children. Three groups were observed: 25 children ages 1;7 to 2;6 in
three activities with their mother (picture-based, play, and daily
routines), 15 children ages 3;9 to 7;4 in joint picture-book
storytelling and symbolic play with their mother, and 10 children
ages 3;9 to 7;4 in joint storytelling at home and at school. The
type of referring expression and its position in the referential
chain were coded. The results demonstrated the impact of the
activity on the use of referring expressions in the first two
groups, whereas the position in the referential chain affected the
use of referring expressions only in the second group. In the
home-school comparison, social setting influenced the use of
referring expressions in interaction with the position in the
referential chain.
Beyond Borders: Decoding Tourism Development and Logistics in the Satun UNESCO Global Geopark’s Destination Management
Authors: Ditta-Apichai Morakot , Tangseng Taweesin 
Published: December 2024

Summary
Tourism logistics is crucial for travel experiences that contribute to the overall success and sustainability of a destination. Utilizing a field observation approach, this case study provides a systematic analysis of the tourism development and logistics within the Satun UNESCO Global Geopark as a part of business strategies and destination management assessment. The study advances recommendations for the development of tourism logistics, encompassing infrastructure, transportation, and information systems within the destination as well as the interconnection to other tourism destinations for competitiveness enhancement.

Information
© The Authors 2024
Enhancing quantum coherence in hybrid optomechanical systems with coherent feedback, atomic ensembles, and optical parametric amplifier
Authors: Mekonnen Habtamu Dagnaw , Tesfahannes Tesfay Gebremariam , Darge Tewodros Yirgashewa , Getahun Kumela Alemayehu , Hidki Abdelkader , Tadesse Mulugeta 
Published: December 2024

Abstract
We theoretically investigate quantum coherence in a hybrid optomechanical system with a fixed mirror, mechanical oscillators, two-level atoms, and an optical parametric amplifier (OPA) within the cavity. A coherent feedback loop is created by redirecting part of the cavity's output field back into the cavity via an asymmetric beam splitter. Using numerical solutions of the Lyapunov equation and steady-state mean values, we quantify the Gaussian quantum coherence of the system. Our results show that the presence of OPA, coherent feedback, atomic ensembles, and strong laser power significantly enhance quantum coherence, while higher atomic decay rates, relative phase, and temperatures reduce it. This approach not only boosts quantum coherence but also improves resilience to temperature fluctuations, providing a robust foundation for quantum information processing.
A miniaturized toroidal piezoelectric device for monitoring human movement and powering wearable electronics
Authors: Chen Chen , Wang Yong 
Published: December 2024

Abstract
Wearable micro-energy devices offer the exciting potential to serve as self-powered monitors for human motion and as power sources for wearable electronics. However, challenges persist, particularly in low-frequency energy conversion and multi-dimensional motion monitoring. In this paper, we report a highly stable and durable miniaturized toroidal piezoelectric device (MTPD) to detect and recognize human movement with exceptional sensitivity, while also storing the generated electrical energy in capacitors to power wearable electronics. The system features a PVDF film that oscillates between ring brackets in a contactless manner, enabling it to capture multi-directional body motion and convert it into electrical signals. By incorporating multiple magnets, the system enhances the deformation of the piezoelectric thin film, thereby improving the output voltage. Furthermore, the integration of multi-channel signal fusion within a compact space refines the accuracy of motion recognition algorithms. We have validated the MTPD’s capability to identify arm and leg movements, highlighting its potential for use in human motion detection. Additionally, we demonstrated the system viability to serve as a power source by efficient charging a capacitor within a short period.
Exploring the impact of feature selection on load profile analysis and energy demand forecasting through enhanced support vector regression
Authors: Halimi Y , Bouzid Z , Halimi S , Ghellai N 
Published: December 2024

Abstract
This paper investigates the impact of weather and calendar data features on load profile analysis and proposes an improved load profile forecasting approach using Support Vector Regression (SVR). A detailed load profile was constructed for a single-family house in Algiers, Algeria, based on an in-depth analysis of survey responses over three years. The SVR model, employing a built-in split method, has demonstrated the highest efficiency for short-term predictions, particularly for one-day forecasts. The initial results from the standard SVR model yielded a Mean Absolute Percentage Error (MAPE) of 39.50%, a Mean Squared Error (MSE) of 0.0461, and an R
2 score of 0.8679. Additionally, the study compared the performance of other machine learning models, including Random Forest Regressor (RFR), Gradient Boosting Regressor (GBR), and Artificial Neural Network (ANN) for one-day forecasting. The RFR achieved an MSE of 0.20088, MAPE of 90.45%, and an R
2 score of 0.4243; the GBR yielded an MSE of 0.13274, MAPE of 80.76%, and an R
2 score of 0.6196; while the ANN demonstrated an MSE of 0.0618, MAPE of 59.71%, and an R
2 score of 0.6407. Notably, the SVR model emerged as the superior performer across various forecast horizons, prompting further exploration to enhance its capabilities. In addition to the standard SVR method, this study introduces an enhanced SVR approach utilizing the Radial Basis Function (RBF) kernel and fine-tuning its parameters. This enhanced model achieved a significantly reduced MSE of 0.0419, MAPE of 18.89%, and an improved R
2 score of 0.8799 for one-day forecasts, surpassing the standard SVR model's performance. Fourier transform analysis was also applied to uncover underlying patterns in the consumption data, complementing the time-domain results from the SVR model. A grid search optimized hyperparameters, revealing that C = 5 and ε = 0.01 provided the best model performance. These findings offer practical implications for energy management, policy-making, and the development of smart grid technologies, contributing to the sustainability and efficiency of energy consumption in residential settings.
Evolution from 3-D to 2-D of a confined hydrogen atom dipole dependent properties when compressed by two parallel planes
Authors: Cabrera-Trujillo R 
Published: December 2024

Abstract
The confinement of an atom by two parallel planes produces changes in the spectra and dipole-dependent electronic properties when evolving from large—3-D—to narrow—2-D—inter-plane separation. In this work, the behavior of the dipole electronic properties of a hydrogen atom located half the distance between two impenetrable parallel planes is studied as a function of the inter-plane separation using the energies and wave functions reported previously by the author [Physica Scripta 99, 065416 (2024)]. The evolution of the line intensities, transition rates, life times, polarizability, and the mean excitation energy are reported as a function of the inter-plane separation. We find that as the inter-plane separation is reduced, all the electronic properties are affected by the shifting of the electronic spectra towards the short wave-length region (EUV) with a boost of the photo-luminosity intensity, reduction of the static polarizability and life-time of the 2s and 2p states, increase of the mean excitation energy, and transition rates for characteristic plane separations. Our numerical results agree, in the limiting cases, to the analytical solutions for a free atom for large inter-plane separations and to those of a 2-D atom for small inter-plane separation, as well as to available experimental data.
Characterization of stabilizier states and magic states in terms of Tsallis and Rényi entropies for qubit systems
Authors: He Jiayu , Wang Bowen , Fu Shuangshuang 
Published: December 2024

Abstract
Uncertainty relations are fundamental in quantum mechanics, distinguishing it from classical physics by setting limits on the precision of incompatible measurements. For qubit systems, considering the three incompatible Pauli observables, we propose two entropic quantifiers of uncertainty exploiting the Tsallis entropies and Rényi entropies. We analyze the minimum and maximum uncertainty states and uncover their close connections with some important families of states in the stabilizer formalism. Explicitly, our findings show that for the two entropic quantifiers of uncertainties with suitable parameters, the stabilizer states correspond to the minimum uncertainty states, while the T-type magic states correspond to the maximum uncertainty states. Additionally, we identify that the H-type magic states serve as the saddle points in the Tsallis entropy framework. These results expand the recent proposed characterizations of stabilizer and magic states via the Shannon entropic uncertainty relation [Li et al 2024 Phys. Scr.
99, 035117].
Falsifying anthropics
Authors: Kaloper Nemanja , Westphal Alexander 
Published: December 2024

Abstract
We propose using fuzzy axion dark matter to test the anthropic principle.
A very light axion can be directly detectable, at least by black hole superradiance effects.
The idea then is that gravitational and astrophysical observations can
discover a light axion in the regime where it must be all of dark matter with abundance
which must be set up by the anthropic principle, due to excessive primordial misalignment induced by
inflation-induced Brownian drift of fluctuations.
Yet it may turn out that dark matter is something else instead of this axion. Since the de Sitter-induced
axion misalignment controlled only by the de Sitter curvature cannot be evaded,
this would invalidate the anthropic prediction of the dark matter abundance.
Probing dark matter isocurvature with primordial non-Gaussianity
Authors: Geller Michael , Kumar Soubhik , Wang Lian-Tao 
Published: December 2024

Abstract
Multiple fields can become dynamical during the inflationary epoch. We consider an example
where a light field acquires isocurvature fluctuations during inflation and contributes to the
dark matter abundance at late times. Interactions between the light field and the adiabatic sector
contribute to mixed adiabatic-isocurvature non-Gaussianity (NG). We show the resulting form of NG
has a different kinematic dependence than the `local shape' commonly considered, and highlight the
parameter space where a dedicated search is expected to significantly improve the current Planck sensitivity. We interpret our results in the context of the QCD axion and illustrate how
the proposed NG searches can improve upon the existing searches for isocurvature power spectrum
and bispectrum.