bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lombalgia em estudantes e professores de medicina durante a pandemia: Estudo de coorte retrospectivo
Authors: Mattos Arthur Fiorotto de , Lima Natália Fortuny de , Wajchenberg Marcelo , Martins Delio Eulalio 
Published: August 2023

Resumo
Objetivo Este estudo teve como objetivo determinar a prevalência de lombalgia antes e durante a pandemia, comparando os dois períodos.
Métodos Foi aplicado um questionário contendo questões sobre a presença de lombalgia, características sociodemográficas e hábitos que poderiam estar relacionados à essa dor.
Resultados Entre as 978 respostas obtidas, a prevalência de lombalgia durante a pandemia foi de 69,94%, o que representou um aumento significativo em relação aos valores do período pré-pandêmico (57,37%). Foi encontrada alta prevalência de lombalgia entre todos os grupos, principalmente entre as mulheres. Alguns fatores foram associados à incidência de lombalgia, como ter problemas de coluna previamente diagnosticados e sedentarismo.
Conclusões A prevalência de lombalgia aumentou significativamente durante a pandemia nos grupos estudados.
ADC Mapping and T2 Mapping of the Lumbar Spine to Assess Disc Degeneration: A Review
Authors: Abhijith S. , Ravichandran Kayalvizhi 
Published: August 2023

AbstractEarly detection of disc degeneration and categorizing them is very important for the treatment plan and better prognosis. We aimed to assess the efficacy of apparent diffusion coefficient (ADC) mapping and T2 mapping in the early detection and grading of the severity of degenerative disc disease. In this review, the articles published until July 2022, from the PubMed database were used. All articles contained information about the application of ADC and T2 mapping in the detection of disc degeneration. A total of 40 articles were included in this review. We assessed each article for the feasibility of both techniques to categorize the degeneration. ADC values of nucleus pulposus (NP) showed a negative correlation with Pfirrmann grades and age. T2 values of NP and annulus fibrosus (AF) are significantly decreased with an increase in Pfirrmann grades. And also, as age increases, T2 values of NP and posterior AF decreased significantly. ADC and T2 mapping techniques are sensitive in the detection and categorization of disc degeneration. It is highly recommended to include quantitative magnetic resonance imaging techniques in routine spine imaging protocol in a patient with complaints of back pain.
Citation beneficiaries of discipline-specific mega-journals: who and how much
Authors: Li Jing , Long Qiushuang , Lu Xiaoli , Wu Dengsheng 
Published: August 2023

AbstractThe emergence of mega-journals (MJs) has influenced scholarly communication. One concrete manifestation of this impact is that more citations have been generated. Citations are the foundation of many evaluation metrics to assess the scientific impact of journals, disciplines, and regions. We focused on searching for citation beneficiaries and quantifying the relative benefit at the journal, discipline and region levels. More specifically, we examined the distribution and contribution to citation-based metrics of citations generated by the five discipline-specific mega-journals (DSMJs) categorized as Environmental Sciences (ES) on Web of Science (WoS) from Clarivate Analytics in 2021: Sustainability, International Journal of Environmental Research and Public Health, Environmental Science and Pollution Research, Journal of Cleaner Production and Science of the Total Environment. Analysis of the distribution of citing data of the five DSMJs shows a pattern with wide coverage but skewness by region and the WoS category; that is, papers in the five DSMJs contributed 26.66% of their citations in 2021 to Mainland China and 22.48% to the ES. Moreover, 15 journals within the ES had their JIFs boosted by more than 20%, benefitting from the high citing rates of the five DSMJs. More importantly, the analysis provides clear evidence that DSMJs can contribute to JIF scores throughout a discipline through their volume of references. Overall, DSMJs can widely impact scholarly evaluation because they contribute citation benefits and improve the evaluation index performance of different scientific entities at different levels. Considering the important application of citation indicators in the academic evaluation system and the increase in citations, it is important to reconsider the real research impact that citations can reflect.
Integration of a high finesse cryogenic build-up cavity with an ion trap
Authors: Wipfli Oliver , Passagem Henry Fernandes , Fischer Christoph , Grau Matt , Home Jonathan P. 
Published: August 2023

We report on the realization of a hemispherical optical cavity with a finesse of F = 13 000 and sustaining inter-cavity powers of 10 kW, which we operate in a closed-cycle cryostat vacuum system close to 4 K. This was designed and built with an integrated radio-frequency Paul trap in order to combine optical and radio-frequency trapping. The cavity provides a power build-up factor of 2300. We describe a number of aspects of the system's design and operation, including low-vibration mounting and locking and thermal effects at high powers. Thermal self-locking in the high intracavity power regime was observed to enhance passive stability below 1 kHz. Observations made over repeated cool-downs over the course of a year show a repeatable shift between the ion trap center and the cavity mode.
Kerr-fully diving into the abyss: analytic solutions to plunging geodesics in Kerr
Authors: Dyson Conor , van de Meent Maarten 
Published: August 2023

AbstractWe present closed-form solutions for the generic class of plunging geodesics in the extended Kerr spacetime using Boyer–Lindquist coordinates. We also specialise to the case of test particles plunging from the innermost precessing stable circular orbit (ISSO) and unstable spherical orbits. We find these solutions in the form of elementary and Jacobi elliptic functions parameterised by Mino time. In particular, we demonstrate that solutions for the ISSO case can be determined almost entirely in terms of elementary functions, depending only on the spin parameter of the black hole and the radius of the ISSO. Furthermore, we introduce a new equation that characterises the radial inflow from the ISSO to the horizon, taking into account the inclination. For ease of application, our solutions have been implemented in a Mathematica package that is available as part of theKerrGeodesicspackage in the Black Hole Perturbation Toolkit.
Analysis and elimination of translation disturbance for patch effect measurement with a torsion pendulum
Authors: Li Ke , Song Chi , Zheng Yunsheng , Hu Ming , Luo Pengshun , Yin Hang , Zhou Zebing 
Published: August 2023

Abstract
Patch effect on conductive surfaces is one of the critical noise sources in many scientific experiments like space gravity programs and gravitational wave detection missions. A high-precision probe-torsion instrument has been developed on ground for measuring patch effect. However, the translation mode of the probe resulting from the environmental disturbance will inevitably affect the measurement in the concerned torsion degree of freedom. In this paper, combining the theoretical analysis as well as the confirmatory experiment, the method based on data analysis is adopted to eliminate the translation effect, finally realizing the best surface potential resolution level of 20 µV Hz

−
1

/

2

.
The inverse Rytov series for diffuse optical tomography
Authors: Machida Manabu 
Published: August 2023

Abstract
The Rytov approximation is known in near-infrared spectroscopy including diffuse optical tomography. In diffuse optical tomography, the Rytov approximation often gives better reconstructed images than the Born approximation. Although related inverse problems are nonlinear, the Rytov approximation is almost always accompanied by the linearization of nonlinear inverse problems. In this paper, we will develop nonlinear reconstruction with the inverse Rytov series. By this, linearization is not necessary and higher order terms in the Rytov series can be used for reconstruction. The convergence and stability are discussed. We find that the inverse Rytov series has a recursive structure similar to the inverse Born series.
Generalized Bayes approach to inverse problems with model misspecification
Authors: Baek Youngsoo , Aquino Wilkins , Mukherjee Sayan 
Published: August 2023

Abstract
We propose a general framework for obtaining probabilistic solutions to PDE-based inverse problems. Bayesian methods are attractive for uncertainty quantification but assume knowledge of the likelihood model or data generation process. This assumption is difficult to justify in many inverse problems, where the specification of the data generation process is not obvious. We adopt a Gibbs posterior framework that directly posits a regularized variational problem on the space of probability distributions of the parameter. We propose a novel model comparison framework that evaluates the optimality of a given loss based on its ‘predictive performance’. We provide cross-validation procedures to calibrate the regularization parameter of the variational objective and compare multiple loss functions. Some novel theoretical properties of Gibbs posteriors are also presented. We illustrate the utility of our framework via a simulated example, motivated by dispersion-based wave models used to characterize arterial vessels in ultrasound vibrometry.
Steering photoassociation of cold 85Rb atoms by two-color slowly-turned-on and rapidly-turned-off laser pulses
Authors: Zhang Rong , Hu Jin-Wei , Wang Gao-Ren , Fu Bina , Han Yong-Chang 
Published: August 2023

Abstract
Photoassociation (PA) of 85Rb atoms from the ground

X

1

Σ

g

+

state to the excited

A

1

Σ

g

+

and

b

3

Π

u

states by two-color laser pulses at 100

μ

K

×

k

B

is investigated by using quantum wavepacket method. Two pulses with detunings δ
1 and δ
2 varying from −1.0 to 1. cm−1 are taken into account. The specific case

δ

1

=
−

δ

2

is generalized to the condition of arbitrary combination of δ
1 and δ
2 for both the Gaussian-pulse field and the slowly-turned-on and rapidly-turned-off (STRT) field. It is found that the introduce of the detunings in the two pluses can enhance the asymmetry of the time profile and broaden the linewidth of the laser field. The two factors can further enhance the PA probability for both resonant and nonresonant regions. Compared to the Gaussian field, the STRT field which is even more asymmetric in time profile and more broaden in linewidth can significantly enhance the PA probability, with the nonresonant transition dominating the PA process. It can be expected that once the two detunings are both positive, which is a relatively loose restriction for coherent control, a considerable PA probability can be obtained in a two-color STRT field.
Inequalities for exchange Slater integrals
Authors: Pain Jean-Christophe 
Published: August 2023

Abstract
The variations of exchange Slater integrals with respect to their order k are not well known. While direct Slater integrals Fk
are positive and decreasing when the order increases, this is not stricto sensu the case for exchange integrals Gk
. However, two inequalities were published by Racah in his seminal article ‘Theory of complex spectra. II’. In this article, we show that the technique used by Racah can be generalized, albeit with cumbersome calculations, to derive further relations, and provide two of them, involving respectively three and four exchange integrals. Such relations can prove useful to detect regularities in complex atomic spectra and classify energy levels.
Additive engineering by tetrabutylammonium iodide for antimony selenosulfide solar cells
Authors: Baron-Jaimes Agustin , Ortiz-Soto Karla Arlen , Millán-Franco Mario Alejandro , Miranda Gamboa Ramses Alejandro , Rincón Marina Elizabeth , Jaramillo-Quintero Oscar Andrés 
Published: August 2023

Abstract
Antimony selenosulfide (Sb2(S,Se)3) solar cells have attracted great attention due to their tunable optoelectronic properties, ease of preparation and low toxicity. However, the harmful intrinsic defect density and internal nonradiative recombination of Sb2(S,Se)3 hinder its practical usage. In this work, a facile additive approach is explored to modify the Sb2(S,Se)3 solar cell efficiency by using tetrabutylammonium iodide (TBAI). After applying a certain amount of TBAI into the Sb2(S,Se)3 precursor solution, the film surface presents lower cracks and roughness than that of the pristine sample. It also increases its hydrophobicity and n-type nature revealed by contact angle and work function measurements. Moreover, the incorporation of TBAI during the formation of the Sb2(S,Se)3 layer improves the quality of the film effectively suppresses its defect trap density, which manifests as a reduction in charge recombination and enhancement of the power conversion efficiency (PCE) when incorporated into solar cells. The fabricated device with 0.62 mol% of TBAI shows the highest PCE (8.87%) and high stability without encapsulation, maintaining about 91% of its initial efficiency after 60 d in air. The results provide a feasible strategy to the ongoing progress of reliable Sb2(S,Se)3 devices.
Redistribution of radionuclides in wall material and its effects on the room dose rate
Authors: Fohlmeister Jens , Hoffmann Bernd 
Published: August 2023

Abstract
Here we investigate the annual effective dose rate obtained from gamma radiation emitted from radionuclides in construction materials in a model room with fixed dimensions. The dose rate is calculated on the whole room area at half the room height. We focus our analyses on a comparison of the annual effective dose rate between the room centre and the room average at half the room height and provide wall-wise quadratic index equations for both. We find that the annual effective dose rate based on the room average is larger than for the room centre due to increased annual effective dose rates for positions in the room closer to the walls. Furthermore, we evaluate the annual effective dose rate under a non-equal distribution of radionuclides in the three wall types (floor and ceiling, long walls, short walls). When considering the room average of the annual effective dose rate, our analysis indicates that it appears advantageous to use construction materials with a higher radionuclide activity concentration for floor and ceiling and the material with a lower radionuclide content for long and short walls, if there is a choice in the construction process.
Theoretical model of magnetoacoustic emission considering the microstructure of ferromagnetic material
Authors: Zhang Hongliang , Jiao Jingpin , Wu Bin , He Cunfu 
Published: August 2023

Abstract
Magnetoacoustic emission (MAE) holds great promise for evaluating the mechanical properties of ferromagnetic materials. To refine the problems of the current theoretical and numerical models of MAE, a theoretical MAE model that considers the microscopic dependence of the hysteresis properties is proposed in this paper. The microstructure (dislocation density and grain size) and the correlation of MAE jumps are considered and incorporated into the model. Then, the influences of magnetization parameters and microstructure parameters on the envelope of the MAE signal are analyzed by the proposed theoretical model. The proposed theoretical model is then fully evaluated by simulations and experiments. The MAE experiments are conducted on ferromagnetic specimens with different hardnesses, and the MAE signals with different hardnesses are simulated by inverting the basic parameters of the MAE model with the genetic algorithm. Further, the crucial hysteresis parameters of the specimens are calculated using the results of microscopic measurements and the calculated parameters agree well with inversion results from experimental signals. The results demonstrate that the proposed theoretical model is valid for the MAE signal simulation. The trends of different hardnesses can be predicted by the MAE simulation signals. Moreover, the model can be used for theoretical analysis of the microscopic dependence of the MAE signal.
Modeling of heterogeneous site energy distributions in precipitate nucleation
Authors: Kahlenberg Robert , Falkinger Georg , Milkereit Benjamin , Kozeschnik Ernst 
Published: August 2023

Abstract
The simulation of heat changes resulting from phase transitions can help to interpret differential scanning calorimetry (DSC) measurements, e.g. of metallic alloy systems in which multiple reactions overlap during non-isothermal heat treatments. So far, simulated DSC curves mostly exhibit sharp reaction peaks as commonly just one mean energy value for a certain type of nucleation site is assumed. This work proposes an efficient model for treating heterogeneous nucleation site energy variations within the framework of classical nucleation theory (CNT). The site energies are assumed to vary according to a Rayleigh distribution and a scaling function. The effect on the nucleation behavior of precipitates is studied. A consideration of the distribution of heterogeneous site energies has the potential to significantly smoothen the numerical treatment of precipitation processes compared to the non-distributed case. The comparison to previously published simulations of DSC curves during the cooling of an AA6005 aluminum alloy demonstrates the advantages of this extension, especially for slow cooling rates.
Development of hybrid bioactive nanofibers composed of star Poly(lactic acid) and gelatin by sol–gel crosslinking during the electrospinning process
Authors: Belabbes Karima , Simon Matthieu , Leon-Valdivieso Christopher Yusef , Massonié Mathilde , Bethry Audrey , Subra Gilles , Garric Xavier , Pinese Coline 
Published: August 2023

Abstract
The design of a biomimetic scaffold is a major challenge in tissue engineering to promote tissue reconstruction. The use of synthetic polymer nanofibers is widely described as they provide biocompatible matrices whose topography mimics natural extracellular matrix (ECM). To closely match the biochemical composition of the ECM, bioactive molecules such as gelatin are added to the nanofibers to enhance cell adhesion and proliferation. To overcome the rapid solubilization of gelatin in biological fluids and to allow a lasting biological effect, the covalent crosslinking of this macromolecule in the network is crucial. The sol–gel route offers the possibility of gentle crosslinking during shaping but is rarely combined with electrospinning. In this study, we present the creation of Poly(lactic acid)/Gelatin hybrid nanofibers by sol–gel route during electrospinning. To enable sol–gel crosslinking, we synthesized star-shaped PLA and functionalized it with silane groups; then we functionalized gelatin with the same groups for their subsequent reaction with the polymer and thus the creation of the hybrid nanonetwork. We evaluated the impact of the presence of gelatin in Poly(lactic acid)/Gelatin hybrid nanofibers at different percentages on the mechanical properties, nanonetwork crosslinking, degradation and biological properties of the hybrid nanofibers. The addition of gelatin modulated nanonetwork crosslinking that impacted the stiffness of the nanofibers, resulting in softer materials for the cells. Moreover, these hybrid nanofibers also showed a significant improvement in fibroblast proliferation and present a degradation rate suitable for tissue reconstruction. Finally, the bioactive hybrid nanofibers possess versatile properties, interesting for various potential applications in tissue reconstruction.
Towards high photoresponse of perovskite nanowire/copper phthalocyanine heterostructured photodetector
Authors: Lu Chengyu , Dai Qinyong , Tang Chenyu , Wang Xinyu , Xu Sunan , Sun Lei , Peng Yingquan , Lv Wenli 
Published: August 2023

Abstract
One-dimensional nanowire structures composed of perovskite are widely recognized for their exceptional optoelectronic performance and mechanical properties, making them a popular area of investigation in photodetection research. In this work, a perovskite nanowire/copper phthalocyanine heterojunction-based photodetector was fabricated, which exhibits high photoresponse in the visible-near-infrared region. The incorporation of a heterojunction significantly enhanced the photoelectric performance. Specifically, the photoresponsivity and external quantum efficiency of the nanowire-based device were elevated from 58.5 A W−1 and 1.35 × 104% to 84.5 A W−1 and 1.97 × 104% at 532 nm, respectively. The enhanced photoresponse of the heterojunction device can be attributed to the unique microstructure of nanowire arrays. The wrapping of the nanowires by copper phthalocyanine forms heterojunctions with a larger dissociation area, which facilitated exciton dissociation and enhanced device performance. This work provides a promising example for optimizing the performance of nanowire devices.
Dual-branch hybrid encoding embedded network for histopathology image classification
Authors: Li Mingshuai , Hu Zhiqiu , Qiu Song , Zhou Chenhao , Weng Jialei , Dong Qiongzhu , Sheng Xia , Ren Ning , Zhou Mei 
Published: August 2023

Abstract

Objective. Learning-based histopathology image (HI) classification methods serve as important tools for auxiliary diagnosis in the prognosis stage. However, most existing methods are focus on a single target cancer due to inter-domain differences among different cancer types, limiting their applicability to different cancer types. To overcome these limitations, this paper presents a high-performance HI classification method that aims to address inter-domain differences and provide an improved solution for reliable and practical HI classification. Approach. Firstly, we collect a high-quality hepatocellular carcinoma (HCC) dataset with enough data to verify the stability and practicability of the method. Secondly, a novel dual-branch hybrid encoding embedded network is proposed, which integrates the feature extraction capabilities of convolutional neural network and Transformer. This well-designed structure enables the network to extract diverse features while minimizing redundancy from a single complex network. Lastly, we develop a salient area constraint loss function tailored to the unique characteristics of HIs to address inter-domain differences and enhance the robustness and universality of the methods. Main results. Extensive experiments have conducted on the proposed HCC dataset and two other publicly available datasets. The proposed method demonstrates outstanding performance with an impressive accuracy of 99.09% on the HCC dataset and achieves state-of-the-art results on the other two public datasets. These remarkable outcomes underscore the superior performance and versatility of our approach in multiple HI classification. Significance. The advancements presented in this study contribute to the field of HI analysis by providing a reliable and practical solution for multiple cancer classification, potentially improving diagnostic accuracy and patient outcomes. Our code is available at https://github.com/lms-design/DHEE-net.