bluuebunny/crossref_metadata_2025_split huggingface dataset:
Whole-body replacement of larval myofibers generates permanent adult myofibers in zebrafish
Authors: Kumar Uday , Fang Chun-Yi , Roan Hsiao-Yuh , Hsu Shao-Chun , Wang Chung-Han , Chen Chen-Hui 
Published: June 2024

AbstractDrastic increases in myofiber number and size are essential to support vertebrate post-embryonic growth. However, the collective cellular behaviors that enable these increases have remained elusive. Here, we created the palmuscle myofiber tagging and tracking system for in toto monitoring of the growth and fates of ~5000 fast myofibers in developing zebrafish larvae. Through live tracking of individual myofibers within the same individuals over extended periods, we found that many larval myofibers readily dissolved during development, enabling the on-site addition of new and more myofibers. Remarkably, whole-body surveillance of multicolor-barcoded myofibers further unveiled a gradual yet extensive elimination of larval myofiber populations, resulting in near-total replacement by late juvenile stages. The subsequently emerging adult myofibers are not only long-lasting, but also morphologically and functionally distinct from the larval populations. Furthermore, we determined that the elimination-replacement process is dependent on and driven by the autophagy pathway. Altogether, we propose that the whole-body replacement of larval myofibers is an inherent yet previously unnoticed process driving organismic muscle growth during vertebrate post-embryonic development.
Operationalizing Clinical Speech Analytics: Moving From Features to Measures for Real-World Clinical Impact
Authors: Liss Julie , Berisha Visar 
Published: June 2024

Objective:

This research note advocates for a methodological shift in clinical speech analytics, emphasizing the transition from high-dimensional
speech feature
representations to clinically validated
speech measures
designed to operationalize clinically relevant constructs of interest. The aim is to enhance model generalizability and clinical applicability in real-world settings.

Method:
We outline the challenges of using conventional supervised machine learning models in clinical speech analytics, particularly their limited generalizability and interpretability. We propose a new framework focusing on speech measures that are closely tied to specific speech constructs and have undergone rigorous validation. This research note discusses a case study involving the development of a measure for articulatory precision in amyotrophic lateral sclerosis (ALS), detailing the process from ideation through Food and Drug Administration (FDA) breakthrough status designation.

Results:
The case study demonstrates how the operationalization of the articulatory precision construct into a quantifiable measure yields robust, clinically meaningful results. The measure's validation followed the V3 framework (verification, analytical validation, and clinical validation), showing high correlation with clinical status and speech intelligibility. The practical application of these measures is exemplified in a clinical trial and designation by the FDA as a breakthrough status device, underscoring their real-world impact.

Conclusions:
Transitioning from speech features to speech measures offers a more targeted approach for developing speech analytics tools in clinical settings. This shift ensures that models are not only technically sound but also clinically relevant and interpretable, thereby bridging the gap between laboratory research and practical health care applications. We encourage further exploration and adoption of this approach for developing interpretable speech representations tailored to specific clinical needs.
Bayesian inference of multi-messenger astrophysical data: Joint and coherent inference of gravitational waves and kilonovae
Authors: Breschi Matteo , Gamba Rossella , Carullo Gregorio , Godzieba Daniel , Bernuzzi Sebastiano , Perego Albino , Radice David 
Published: June 2024

Context. Multi-messenger observations of binary neutron star mergers can provide information on the neutron star’s equation of state (EOS) above the nuclear saturation density by directly constraining the mass-radius diagram.
Aims. We present a Bayesian framework for joint and coherent analyses of multi-messenger binary neutron star signals. As a first application, we analyze the gravitational-wave GW170817 and the kilonova (kN) AT2017gfo data. These results are then combined with the most recent X-ray pulsar analyses of PSR J0030+0451 and PSR J0740+6620 to obtain new EOS constraints.
Methods. We extend the bajes infrastructure with a joint likelihood for multiple datasets, support for various semi-analytical kN models, and numerical-relativity (NR)-informed relations for the mass ejecta, as well as a technique to include and marginalize over modeling uncertainties. The analysis of GW170817 used the TEOBResumS effective-one-body waveform template to model the gravitational-wave signal. The analysis of AT2017gfo used a baseline multicomponent spherically symmetric model for the kN light curves. Various constraints on the mass-radius diagram and neutron star properties were then obtained by resampling over a set of ten million parameterized EOSs, which was built under minimal assumptions (general relativity and causality).
Results. We find that a joint and coherent approach improves the inference of the extrinsic parameters (distance) and, among the intrinsic parameters, the mass ratio. The inclusion of NR-informed relations marks a strong improvement over the case in which an agnostic prior is used on the intrinsic parameters. Comparing Bayes factors, we find that the two observations are better explained by the common source hypothesis only by assuming NR-informed relations. These relations break some of the degeneracies in the employed kN models. The EOS inference folding-in PSR J0952-0607 minimum-maximum mass, PSR J0030+0451 and PSR J0740+6620 data constrains, among other quantities, the neutron star radius to R1.4TOV = 12.30− 0.56+ 0.81 km(R1.4TOV = 13.20− 0.90+ 0.91 km) and the maximum mass to MmaxTOV = 2.28− 0.17+ 0.25M⊙(MmaxTOV = 2.32− 0.19+ 0.30M⊙), where the ST+PDT (PDT-U) analysis of Vinciguerra et al. (2024, ApJ, 961, 62) for PSR J0030+0451 was employed. Hence, the systematics on the PSR J0030+0451 data reduction currently dominate the mass-radius diagram constraints.
Conclusions. We conclude that bajes delivers robust analyses in line with other state-of-the-art results in the literature. Strong EOS constraints are provided by pulsars observations, albeit with large systematics in some cases. Current gravitational-wave constraints are compatible with pulsar constraints and can further improve the latter.
Das Modellvorhaben POLKA als Shared Services Konzept zur
Gesundheitsförderung in stationären Pflegeeinrichtungen
Authors: Huber Gerhard , Baldus Angelika 
Published: June 2024

ZusammenfassungPrävention in stationären Pflegeeinrichtungen gemäß § 5 SGB XI in Verbindung mit
der (betrieblichen) Gesundheitsförderung gemäß §§ 20 und 20b SGB V erweist sich
im Modellvorhaben POLKA als komplexes und schwieriges Setting. Innerhalb des
Settings „Heim“ erweisen sich zusätzlich die Zielgruppen Pflegebedürftige und
Pflegekräfte als besonders vulnerabel bzw. belastet. Im Modellvorhaben POLKA
wird ersichtlich, dass Bewegungsförderung in Pflegeheimen nicht „von der
Stange“, sondern maßgerecht umgesetzt werden muss.Die in POLKA entwickelten und evaluierten bewegungsbezogenen Module für die
Pflege und in der betrieblichen Gesundheitsförderung werden aktuell in ein
Modularsystem überführt, um in einer flächendeckenden Anwendung Pflegeketten
bzw. Pflegeheimen bedarfserhobene und bedarfsangepasste Module zur
Implementierung der Bewegungsförderung zur Verfügung stellen zu können. Ein
solches Prozessmanagement soll das nachhaltige Selbstmanagement der stationären
Pflegeeinrichtungen sichern.In dem Beitrag wird hierzu ein in der Wirtschaft bewährtes Konzept adaptiert,
welches ein hohes Potenzial hat, um die flächendeckende Versorgung mit
effektiver Gesundheitsförderung durch Bewegungsförderung effektiv zu
unterstützen.
Use of Shock Index, Modified Shock Index, and Age-Adjusted Shock
Index for Detection of Postpartum Hemorrhage
Authors: Celikkan Cagla , Ibanoglu Mujde Can , Engin-Ustun Yaprak 
Published: June 2024

Abstract
Purpose The aim of this study is to evaluate the role of shock index (SI),
modified shock index (MSI), and delta shock index (ΔSI) in predicting postpartum
hemorrhage (PPH) and adverse maternal outcomes.
Material and Methods In this cross-sectional cohort study, a study group
consisting of 416 pregnant women who delivered at our hospital and had
postpartum hemorrhage was compared with 467 control patients with normal
follow-up. SI (pulse/systolic blood pressure), MSI (pulse/mean arterial
pressure), ΔSI (input SI – 2nd- or 6th-hour SI) values were calculated.
Results A total of 883 postpartum women were included in the study. The
study group had higher peripartum, 2nd-hour, and 6th-hour SI values (p=0.011,
p=0.001, p<0.001, respectively). Peripartum MSI values (p=0.004), 2nd-hour
MSI values (p<0.001), and 6th-hour MSI values (p<0.001) were significantly
lower in the control group than in the PPH group. When the groups were
evaluated, the cut-off value of the 2nd-hour SI parameter was>0.8909
(sensitivity 30%, specificity 84%), and the 6th-hour SI parameter was>0.8909
(sensitivity 40%, specificity 80%) for predicting postpartum hemorrhage
requiring blood transfusion and surgical intervention. The cut-off value of the
2nd-hour MSI parameter was>1.2 (sensitivity 34%, specificity 82%), and the
cut-off value of the 6th-hour MSI parameter was>1.2652 (sensitivity 32%,
specificity 90%).
Conclusion The 2nd- and 6th-hour SI and 2nd- and 6th-hour MSI values were
significantly higher in patients with postpartum hemorrhage. Values greater than
0.89 for SI and 1.2 for MSI were considered significant for predicting
postpartum hemorrhage with maternal impairment.
Diabetic Ketoacidosis in Patients with Maturity-Onset Diabetes of the
Young
Authors: Müssig Karsten 
Published: June 2024

AbstractMaturity-onset diabetes of the young (MODY) is the most frequent monogenetic
diabetes form. It is caused by mutations in genes important for the development
and function of pancreatic beta-cells, resulting in impaired insulin secretion
capacity. Up to now, 14 different types have been described. The inheritance
pattern is autosomal dominant, leading to a strong family history with more than
three affected generations. Young age at diagnosis and lack of pancreatic
autoantibodies are further characteristics of MODY. The presence of diabetic
ketoacidosis (DKA) was long regarded as an exclusion criterion for MODY.
However, in recent years, several case reports on MODY patients presenting with
DKA have been published. The present study aimed to give an overview of the
current knowledge of DKA in MODY patients, with a collection of published case
studies as a prerequisite for this review.
One Year of Heavy Resistance Training Modifies Muscle Fiber
Characteristics in the Elderly
Authors: Gates Anne Theil , Kjaer Michael , Andersen Jesper Loevind 
Published: June 2024

AbstractPhysical function declines with age, accelerating during the 6th decade of life,
primarily due to loss in muscle mass and strength. The present study aimed to
investigate the effect of one year of heavy resistance training in older adults
(62–70 years) on muscle mass and strength. Further, we investigated muscle
characteristics after the intervention by obtaining muscle biopsies from the
vastus lateralis to compare muscle fiber characteristics between the heavy
resistance training (HRT) (n=10) and the sedentary control group (CON) (n=10).
We found that one year of resistance training increased isometric muscle
strength (p<0.0001, ES: 2.43 (Hedges’ g)) and lean body mass (p<0.05, ES:
0.96), whereas cross-sectional area of the vastus lateralis and lean leg mass
were unaltered. At year 1, the percentage of type IIX muscle fibers was lower in
HRT compared to CON (p<0.05, ES: 0.99), whereas the muscle fiber size did not
differ between groups for the major fiber types (I and II). In conclusion, one
year of resistance training in elderly improved muscle strength and lean body
mass but not cross-sectional area and lean leg mass. This indicates that the
increase in muscle strength may be caused by neuromuscular adaptations rather
than morphological muscle tissue changes per se.
Iron-Mediated Bromocyclization of Olefinic Amides for the Synthesis of Bromobenzoxazines
Authors: Zhao Tong-Tong , Bian Qiang , Xu Da-Zhen , Zhao Wei-Guang , Zhao Yu-Wei , Xu Lin-Lin 
Published: June 2024

AbstractAn iron-mediated bromination/cyclization for the synthesis of bromobenzoxazines from olefinic amides has been successfully developed. In this protocol, the simple iron salt FeBr3 was employed as a bromination reagent, giving the bromobenzoxazine products in moderate to excellent yields. This methodology features good functional group tolerance, gram-scale synthesis, and green reaction conditions by the use of air as the terminal oxidant. Preliminary mechanistic studies suggest that a free radical pathway is involved.
1,3-Dipolar Cycloaddition of Diazophosphonates with Methyl(Ethyl) Acrylate for the Synthesis of 5-Arylpyrazole-3-carboxylates
Authors: Titanyuk Igor D. , Zinovyev Nikolay A. , Beletskaya Irina P. 
Published: June 2024

AbstractA wide range of α-aryl-α-diazophosphonates were easily prepared via modified diazo transfer reaction. Benzylphoshonates reacted with tosyl azide (TsN3) in the presence of potassium tert-butoxide (KOtBu) to afford diazophosphonates in yields up to 93% (generally 70–80%). Aryldiazophosponates were successfully explored for the synthesis of 5-aryl-substituted pyrazol-3-carboxylates in one pot by the 1,3-dipolar cycloaddition with alkyl acrylates followed by NaH treatment. The second stage led to elimination of the diethoxylphosphoryl moiety with the aromatization of cycle.
Ferromagnetic resonance measurement with frequency modulation down to 2 K
Authors: Sharma Vinay , Negusse Ezana , Kumar Ravinder , Budhani Ramesh C. 
Published: June 2024

Ferromagnetic resonance (FMR) spectroscopy is a powerful technique to study the precessional dynamics of magnetization in thin film heterostructures. It provides valuable information about the mechanisms of exchange bias, spin angular momentum transfer across interfaces, and excitation of magnons. A key desirable feature of FMR spectrometers is the capability to study magnetization dynamics over a wide phase space of temperature (T), frequency (f), and magnetic field (B). The design, fabrication, and testing of such a spectrometer, which uses frequency modulation techniques for improved detection of microwave absorption, reduces heat load in the cryostat and allows simultaneous measurements of inverse spin Hall effect (ISHE) induced dc voltages, is described in this paper. The apparatus is based on a 2-port transmitted microwave signal measurement using a grounded co-planar waveguide. The input radio frequency (RF) signal, frequency modulated at a tunable f-band, excites spin precession in the sample, and the attenuated RF signal is measured phase sensitively. The sample stage, inserted in the bore of a superconducting solenoid, allows magnetic field and temperature variability of 0 to ±5 T and 2–310 K, respectively. We demonstrate the working of this Cryo-FMR and ISHE spectrometer on thin films of Ni80Fe20 and Fe60Co20B20 over a wide T, B, and f phase space.
Duality of a coiled phononic crystal enables reflectionless interfaces
Authors: Willey C. L. , Chen V. W. , Juhl A. T. 
Published: June 2024

Recently, it has been demonstrated that one-dimensional bar-based phononic crystals can exhibit subwavelength Bragg bandgaps by coiling the bars and locking the nodal rotational degrees of freedom to create what is termed a coiled phononic crystal (CPnC) [C. L. Willey et al., Phys. Rev. Appl. 18, 014035 (2022)]. Here, it is shown that the CPnC exhibits duality of its dispersion curves relative to its coiling/twist angle, meaning that the dispersion curves are symmetric about a particular coiling/twist angle defined configuration. An exciting implication of this finding is that under a certain set of constraints, segments of dual unit cells with perpendicular wave propagation directions can be connected such that their wave transmission is equivalent to a finite CPnC entirely composed of identical unit cells with parallel wave propagation directions. The ability to link unit cells with different wave propagation orientations, but the same dispersion/dynamic stiffness, is used to create an elastic hierarchically coiled phononic crystal based on a fractal space-filling curve design. The novelty of this work is that it numerically demonstrates reflectionless wave propagation in large fractal architectures (created from specific combinations of dual unit cells) such that regular phononic properties (i.e., passbands and bandgaps) are preserved, allowing for propagation of broadband signals and filtering.
Thermophysical properties and unexpected viscosity of liquid (U, Zr): An atomistic investigation
Authors: Tranchida J. , Nicaud F. , Beeler B. W. , Bourasseau E. 
Published: June 2024

In this study, we performed a numerical investigation of the thermophysical properties of liquid (U, Zr) mixtures, which are particularly relevant in the context of hypothetical nuclear accidents and the formation of in-vessel coriums. To do so, atomistic simulations leveraging classical molecular dynamics and an interatomic potential developed for solid (U, Zr) structures are performed. Our methodology is first validated by comparing the predictions of our model for the melting temperature and the structure factors to experimental, phase diagram, and ab initio data. We then use the approach to evaluate the temperature and composition dependence of four fundamental properties in the context of coriums: density, heat capacity, compressibility, and viscosity. Systematic comparisons to the existing experimental data are performed and discussed. In particular, the viscosity of liquid (U, Zr) mixtures is investigated by comparing diffusion calculations and the Stokes–Einstein formula as well as the results obtained with the Green–Kubo methodology, empirical predictions, and experimental data. Notably, the viscosity of the mixtures is predicted to be significantly higher than that of the single-element liquids, which is unexpected and could have crucial consequences on the early stages of the formation and flow of in-vessel corium.
A global rho-axis method for fitting asymmetric tops with one methyl internal rotor and two 14N nuclei: Application of BELGI-2N to the microwave spectra of four methylimidazole isomers
Authors: Antonelli Eléonore , Gougoula Eva , Walker Nicholas R. , Schwell Martin , Nguyen Ha Vinh Lam , Kleiner Isabelle 
Published: June 2024

A number of internal rotation codes can deal with the combination of one or two internal rotors with one 14N quadrupole nucleus, but once it comes to two 14N nuclei, no such code is available even for the case of one internal rotor. We present here the extension of our internal rotor program called BELGI-2N using the rho-axis method global approach to deal with compounds containing one methyl rotor and two weakly coupling 14N nuclei. To test our new code, we applied it to the microwave data recorded for N-methylimidazole, 2-methylimidazole, 4-methylimidazole, and 5-methylimidazole using a chirped-pulse Fourier transform microwave spectrometer in the 7.0–18.5 GHz frequency range. Compared to the previously published study, BELGI-2N was able to (i) significantly increase the number of assigned and fitted lines, (ii) fit the complete datasets considering both the internal rotation and the 14N nuclear quadrupole coupling effects simultaneously, and (iii) achieve standard deviations within the measurement accuracy for all methylimidazole isomers.
High-frequency solutions to the Einstein equations
Authors: Huneau Cécile , Luk Jonathan 
Published: June 2024

Abstract
We review recent mathematical results concerning the high-frequency solutions to the Einstein vacuum equations and the limits of these solutions. In particular, we focus on two conjectures of Burnett, which attempt to give an exact characterization of high-frequency limits of vacuum spacetimes as solutions to the Einstein–massless Vlasov system. Some open problems and future directions are discussed.
First-principles study of carrier mobility and strain effect in MX (M=Sn, Pb; X=P, As) monolayers
Authors: Zhang Bo , Wan Wenhui , Liu Yong , Ge Yanfeng 
Published: June 2024

Abstract
The pursuit of two-dimensional semiconductor materials that feature tunable electronic structures and high mobility is crucial for advancing nanoelectronic and optoelectronic devices. In this study, the MX monolayers (M = Sn, Pb; N = P, As) are investigated with first-principles calculations based on Boltzmann transport theory. The results show that SnP, SnAs, and PbAs all exhibit indirect band gaps, whereas PbP is the only semiconductor with a direct band gap. One important finding is that intravalley scattering has a significant impact on electron–phonon coupling. Interestingly, changes in carrier concentration do not affect the electron mobility within these MX monolayers, with SnP exhibiting the highest electron mobility among them. Subsequently, the SnP under a 6% biaxial strain is further explored and the results demonstrated a considerable increase in electron mobility to 2,511.9 cm

2

V

−
1

s

−
1

, which is attributable to decreased scattering. This suggests that MX monolayers, especially SnP, are promising options for 2D semiconductor materials in the future.
Rolling element bearing fault diagnosis based on multi-objective optimized deep auto-encoder
Authors: Chang Xiaoxin , Yang Shaopu , Li Shaohua , Gu Xiaohui 
Published: June 2024

Abstract
Bearing fault diagnosis holds significant importance, with widespread attention focused on enhancing its accuracy and efficiency. Existing diagnostic methods based on deep learning and transfer learning typically tackle this issue by introducing new function modules and diagnostic strategies, such as attention mechanism, adversarial domain adaptation, etc. However, most studies do not consider the structure and hyperparameters optimization of the network to improve the diagnostic performance of the network itself. To address this limitation, a novel multi-objective optimized deep auto-encoder is proposed in this paper. The optimal network structure and hyperparameters is determined by a multi-objective particle swarm optimization algorithm. Crucially, the method is based on a data-driven approaches to automatically search for network structures with stronger generalization and feature extraction capabilities to address engineering problems in different scenarios. Finally, this method is examined in both multi-fault classification diagnosis and transfer diagnosis scenarios, demonstrating strong self-adaptability through experimental results. In comparison with typical deep learning fault diagnosis methods, the proposed method demonstrates higher diagnostic accuracy and superior generalization ability.