bluuebunny/crossref_metadata_2025_split huggingface dataset:
Successful on-ECLS Repair of CDH and Omphalocele in a Newborn
Authors: Fideler Frank , Mustafi Migdad , Kirschner Hans-Joachim , Gerbig Ines , Fuchs Jörg , Hofbeck Michael , Kumpf Matthias , Kagan Oliver , Michel Jörg , Jost Walter , Neunhoeffer Felix 
Published: April 2023

AbstractBoth congenital diaphragmatic hernias (CDHs) and omphaloceles show relevant overall mortality rates as individual findings. The combination of the two has been described only sparsely in the literature and almost always with a fatal course. Here, we describe a term neonate with a rare high-risk constellation of left-sided CDH and a large omphalocele who was successfully treated on extracorporeal life support (ECLS). Prenatally, the patient was diagnosed with a large omphalocele and a left CDH with a lung volume of ∼27% and an observed to expected lung-to-head ratio of 30%. Due to respiratory insufficiency, an ECLS device was implanted. As weaning from ECLS was not foreseeable, the female infant underwent successful surgery on ECLS on the ninth day of life. Perioperative high-frequency oscillatory ventilation and circulatory and coagulation management under point-of-care monitoring were the main anesthesiological challenges. Over the following 3 days, ECLS weaning was successful, and the patient was extubated after another 43 days. Surgical treatment on ECLS can expand the spectrum of therapy in high-risk constellations if potential risks are minimized and there is close interdisciplinary cooperation.
Role of job mobility frequency in job satisfaction changes: the mediation mechanism of job-related social capital and person‒job match
Authors: Yang Hongbo , Hu Ping 
Published: April 2023

AbstractEmployees’ high job mobility is detrimental to the healthy and sustainable development of enterprises. It may be resolved by identifying the internal mechanism by which job mobility is associated with job satisfaction. However, few studies have examined it clearly. Thus, decision-making in human resource management lacks a theoretical basis. The present study attempts to fill this gap from the perspective of job-related social capital and person‒job match. Using survey data from 1348 employees with a tenure of 1–3 years in information service enterprises in China, this study conducts an empirical analysis of the aforementioned relationships. The results show that, in the context of the high frequency of job mobility, the ‘Honeymoon Effect’ has a positive association with job satisfaction in the short term. In the long term, the frequency of job mobility has a negative indirect association with job satisfaction through person‒job match and job-related social capital. Among these mediation mechanisms, job-related social capital has a positive association with person‒job match, which contributes to and strengthens the aforementioned negative intermediary process. The results highlight the positive role of job mobility frequency on job satisfaction in the short term and the negative role in the long term. The findings provide useful references and suggestions to help individuals improve their job satisfaction and enterprises to formulate efficient human resource management strategies.
White-light emission from yttrium iron garnet (YIG)
Authors: Saroha Anju , Ganapathi Kolla Lakshmi , Sadhasivam Murali , Pradeep Konda Gokuldoss , Ramachandra Rao Mamidanna Sri 
Published: April 2023

Single-phase phosphors that emit broadband white-light are needed for white-light-emitting diodes (wLEDs) to reach their full potential. However, it is challenging to achieve broad white-light emission from single-phase materials. Consequently, polycrystalline inorganic bulk compounds that emit white-light sans doping are rare. We report on broadband white-light emission from a well-known garnet compound, i.e., yttrium iron garnet (YIG), without activator-ion doping. Upon near-UV excitation at 370 nm, polycrystalline bulk YIG emits broadband white-light with (1931) Commission Internationale de L’Eclairage (CIE) coordinates as (0.28, 0.35) and correlated color temperature (CCT) as 8029 K. Variable excitation wavelengths ranging from 280 to 600 nm enable color-tunable emission as cyan-white-blue-green-yellow-orange-red, including near-white-light emission for a broad range of excitation from 325 to 390 nm. Moreover, a short lifetime (sub-nanosecond) is obtained, which is desirable for LED and other applications. We demonstrated the propriety of YIG as a single-phase converting phosphor for illumination by fabricating prototype wLEDs using commercial InGaN UV-LED chips (λ = 380 nm) for excitation. The CIE coordinates and CCT of prototype wLEDs were obtained as (0.34, 0.37) and 5284 K, respectively. We believe that the reported findings signify the great potential of YIG as a single-phase white-light-emitting phosphor for broadband emission, which offers a new perspective and a viable approach for the development of wLEDs.
High-performance photodetector arrays for near-infrared spectral
sensing
Authors: van Klinken Anne , van Elst Don M. J. , Li Chenhui , Petruzzella Maurangelo , Hakkel Kaylee D. , Ou Fang , Pagliano Francesco , van Veldhoven René , Fiore Andrea 
Published: April 2023

Spectral sensing is an emerging field driven by the need for fast and non-invasive methods for the chemical analysis of materials in agri-food, healthcare, and industrial applications. We demonstrate a near-infrared spectral sensor, based on a scalable fabrication process and combining high responsivity, narrow linewidth, and low noise. The sensor consists of 16 resonant-cavity-enhanced photodetectors, each showing a unique spectral response consisting of narrow peaks. The spectral sensor thereby covers the wavelength range between 890 and 1650 nm, where organic materials show relevant spectral features from first and second overtones. For the fabrication of the detector arrays, we propose a simple and scalable fabrication approach that yields largely improved device characteristics with respect to the grey-scale electron-beam lithography process reported earlier. Through a series of five optical lithography steps, tuning layers of silicon nitride are deposited stepwise to obtain 16 different thicknesses and reduced surface roughness. With this novel fabrication approach, the obtained photodetectors achieve an average peak linewidth of 55 nm, a maximum peak responsivity of 0.3 A/W, and high suppression of the non-resonant background. We also demonstrate the impact of these improvements on the sensing performance for two relevant problems through an experiment and a set of simulations. With lateral dimensions of ∼1.4 × 1.4 mm2, the proposed photodetector array can be the key to robust, portable, and low-cost sensing instrumentation for on-site material analysis in various application fields.
High hole mobility and non-localized states in amorphous germanium
Authors: Tran Tuan T. , Wong-Leung Jennifer , Smillie Lachlan A. , Hallén Anders , Grimaldi Maria G. , Williams Jim S. 
Published: April 2023

Covalent amorphous semiconductors, such as amorphous silicon (a-Si) and germanium (a-Ge), are commonly believed to have localized electronic states at the top of the valence band and the bottom of the conduction band. Electrical conductivity is thought to occur through the hopping mechanism via these localized states. The carrier mobility of these materials is usually very low, in the order of ∼10−3–10−2 cm2/Vs at room temperature. In this study, we show that pure high-density amorphous Ge has exceptionally high carrier mobility, in the order of ∼100 cm2/Vs, and a high hole concentration of ∼1018 cm−3. The temperature-dependent conductivity of the material is also very-well defined with two distinctive regions, extrinsic and intrinsic conductivity, as in crystalline Ge. These results provide direct evidence for a largely preserved band structure and non-localized states within the valence band in high-density amorphous Ge, as previously suggested by Tauc et al. from optical characterization alone.
Interrogating bromodomain inhibitor resistance in KMT2A-rearranged leukemia through combinatorial CRISPR screens
Authors: Wright Shaela , Hu Jianzhong , Wang Hong , Hyle Judith , Zhang Yang , Du Guoqing , Konopleva Marina Y. , Kornblau Steven M. , Djekidel Mohamed Nadhir , Rosikiewicz Wojciech , Xu Beisi , Lu Rui , Yang Jun J. , Li Chunliang 
Published: April 2023

Bromo- and extra-terminal domain inhibitors (BETi) have exhibited therapeutic activities in many cancers. However, the mechanisms controlling BETi response and resistance are not well understood. We conducted genome-wide loss-of-function CRISPR screens using BETi-treated KMT2A-rearranged (KMT2A-r) cell lines. We revealed that
Speckle-type POZ protein (SPOP)
gene (Speckle Type BTB/POZ Protein) deficiency caused significant BETi resistance, which was further validated in cell lines and xenograft models. Proteomics analysis and a kinase-vulnerability CRISPR screen indicated that cells treated with BETi are sensitive to GSK3 perturbation. Pharmaceutical inhibition of GSK3 reversed the BETi-resistance phenotype. Based on this observation, a combination therapy regimen inhibiting both BET and GSK3 was developed to impede KMT2A-r leukemia progression in patient-derived xenografts in vivo. Our results revealed molecular mechanisms underlying BETi resistance and a promising combination treatment regimen of ABBV-744 and CHIR-98014 by utilizing unique ex vivo and in vivo KMT2A-r PDX models.
Multimaterial 4D printing with a tunable bending model
Authors: Zolfagharian Ali , Jarrah Hamid Reza , S Xavier Matheus , Rolfe Bernard , Bodaghi Mahdi 
Published: April 2023

Abstract
Shape-memory polymer (SMP)-based functional structures may now be produced more efficiently via four-dimensional (4D) printing, benefiting from the recent advances in multi-material three-dimensional printing technologies. Composite material design using 4D printing has opened new possibilities for customizing the shape memory property of smart polymers. This work studies a design strategy to harness desirable morphing by 4D printing multimaterial composites with a focus on the detailed finite element (FE) procedure, experimental results, and soft robotic application. Composites with bilayer laminates consisting of a SMP and a flexible elastomer are constructed with variable thickness ratios to control the self-bending of the composite. FE simulations are used to understand the underlying processes of composite materials and to generate accurate predictions for the experimental results, which reduces cost and development time. The application of 4D printing and multi-material composite programming is demonstrated with a soft robotic gripper for manipulating fragile objects.
Solving nonlinear soliton equations using improved physics-informed neural networks with adaptive mechanisms
Authors: Guo Yanan , Cao Xiaoqun , Peng Kecheng 
Published: April 2023

Abstract
Partial differential equations (PDEs) are important tools for scientific research and are widely used in various fields. However, it is usually very difficult to obtain accurate analytical solutions of PDEs, and numerical methods to solve PDEs are often computationally intensive and very time-consuming. In recent years, Physics Informed Neural Networks (PINNs) have been successfully applied to find numerical solutions of PDEs and have shown great potential. All the while, solitary waves have been of great interest to researchers in the field of nonlinear science. In this paper, we perform numerical simulations of solitary wave solutions of several PDEs using improved PINNs. The improved PINNs not only incorporate constraints on the control equations to ensure the interpretability of the prediction results, which is important for physical field simulations, in addition, an adaptive activation function is introduced. By introducing hyperparameters in the activation function to change the slope of the activation function to avoid the disappearance of the gradient, computing time is saved thereby speeding up training. In this paper, the mKdV equation, the improved Boussinesq equation, the Caudrey–Dodd–Gibbon–Sawada–Kotera equation and the p-gBKP equation are selected for study, and the errors of the simulation results are analyzed to assess the accuracy of the predicted solitary wave solution. The experimental results show that the improved PINNs are significantly better than the traditional PINNs with shorter training time but more accurate prediction results. The improved PINNs improve the training speed by more than 1.5 times compared with the traditional PINNs, while maintaining the prediction error less than 10−2 in this order of magnitude.
Investigation of the tetraquark states
in the improved chromomagnetic interaction model*
Authors: Guo Tao , Li Jianing , Zhao Jiaxing , He Lianyi 
Published: April 2023

Abstract
In the framework of the improved chromomagnetic interaction model, we complete a systematic study of the S-wave tetraquark states

(

, and

) with different quantum numbers:

,

, and

. The mass spectra of tetraquark states are predicted, and the possible decay channels are analyzed by considering both the angular momentum and

-parity conservation. The recently observed hidden-charm tetraquark states with strangeness, such as

,

, and

, can be well explained in our model. Additionally, according to the wave function of each tetraquark state, we find that the low-lying states of each

configuration have a large overlap to the

and

meson basis, instead of the

and

meson basis. This indicates that one can search these tetraquark states in future experiments via the channel of

and

mesons.
Elastic scattering based on energy-dependent relativistic Love-Franey model at energies between 20 and 800 MeV*
Authors: Wei Si-Na , Feng Zhao-Qing 
Published: April 2023

Abstract
In order to investigate the elastic scattering, we fit scattering observables of the weighted fits (WF16) with the relativistic Love-Franey (RLF) model. The masses, cutoff parameters, and initial coupling strengths of RLF are assumed to be independent of energy. Because the energy boundary between low energy and high energy is around 200 MeV, the masses, cutoff parameters, and initial coupling strengths of RLF are obtained by fitting scattering observables of WF16 at an incident energy of 200 MeV. With the masses, cutoff parameters, and initial coupling strengths as the input, the energy-dependent RLF model is constructed over the laboratory energy range of 20 to 800 MeV within a unified fit. To examine the validity of this fit, we investigate p+

elastic scattering for various energies. Although the scattering observables of pp and pn of 200 MeV best fit the values of WF16, the RLF model of 200 MeV without the Pauli blocking (PB) corrections fails to describe the experimental differential cross sections, analyzing powers, and spinrotation functions. When the PB corrections are taken into account for various energies, the RLF model can well describe the experimental data of p+

elastic scattering.
Searching For Wide Binary Stars with Non-coeval Components in the Southern Sky
Authors: Kniazev Alexey , Malkov Oleg 
Published: April 2023

Abstract
We have completed our observational program to search for wide binary systems with non-coeval components in the southern sky and report our results here. The final set of four systems was spectroscopically investigated in this paper. No binary systems with components of different ages were found among them. Taking into account our previous studies, we estimate the fraction of such binaries (i.e., binaries formed, presumably, by capture) to be not higher than 0.06%. The study will be continued on the northern sky.
LISC Catalog of Open Clusters III. 83 Newly Found Galactic Disk Open Clusters Using Gaia EDR3
Authors: Chi Huanbin , Wang Feng , Li Zhongmu 
Published: April 2023

Abstract
As groups of coeval stars born from the same molecular cloud, an open cluster (OC) is an ideal laboratory for studying the structure and dynamical evolution of the Milky Way. The release of high-precision Gaia Early Data Release 3 (Gaia EDR3) and modern machine-learning methods offer unprecedented opportunities to identify OCs. In this study, we extended conventional HDBSCAN (e-HDBSCAN) for searching for new OCs in Gaia EDR3. A pipeline was developed based on the parallel computing technique to blindly search for OCs from Gaia EDR3 within Galactic latitudes

b

< 25°. As a result, we obtained 3787 star clusters, of which 83 new OCs were reported after cross-match and visual inspection. At the same time, the main star cluster parameters are estimated by color–magnitude diagram fitting. The study significantly increases the sample size and physical parameters of OCs in the catalog of OCs. It shows the incompleteness of the census of OCs across our Galaxy.
Transverse Velocity Field Measurements in High-resolution Solar Images Based on Deep Learning
Authors: Shang Zhen-Hong , Mu Si-Yu , Ji Kai-Fan , Qiang Zhen-Ping 
Published: April 2023

Abstract
To address the problem of the low accuracy of transverse velocity field measurements for small targets in high-resolution solar images, we proposed a novel velocity field measurement method for high-resolution solar images based on PWCNet. This method transforms the transverse velocity field measurements into an optical flow field prediction problem. We evaluated the performance of the proposed method using the Hα and TiO data sets obtained from New Vacuum Solar Telescope observations. The experimental results show that our method effectively predicts the optical flow of small targets in images compared with several typical machine- and deep-learning methods. On the Hα data set, the proposed method improves the image structure similarity from 0.9182 to 0.9587 and reduces the mean of residuals from 24.9931 to 15.2818; on the TiO data set, the proposed method improves the image structure similarity from 0.9289 to 0.9628 and reduces the mean of residuals from 25.9908 to 17.0194. The optical flow predicted using the proposed method can provide accurate data for the atmospheric motion information of solar images. The code implementing the proposed method is available on https://github.com/lygmsy123/transverse-velocity-field-measurement.
Relation between Mass and Radius of Exoplanets Distinguished by their Density
Authors: Betzler Alberto S. , Miranda José G. V. 
Published: April 2023

Abstract
The formation of the solar system has been studied since the 18th century and received a boost in 1995 with the discovery of the first exoplanet, 51 Pegasi b. The investigations increased the number of confirmed planets to about 5400 to date. The possible internal structure and composition of these planets can be inferred from the relationship between planet mass and radius, M–R. We have analyzed the M–R relation of a selected sample of iron-rock and ice-gas planets using a fractal approach to their densities. The application of fractal theory is particularly useful to define the physical meaning of the proportionality constant and the exponent in an empirical M–R power law in exoplanets, but this does not necessarily mean that they have an internal fractal structure. The M–R relations based on this sample are M = (1.46 ± 0.08)R
2.6±0.2 for the rocky population (3.6 ≤ ρ ≤ 14.3 g cm−3), with 1.5 ≤ M ≤ 39 M
⊕, and M = (0.27 ± 0.04)R
2.7±0.2 for ice-gas planets (0.3 ≤ ρ ≤ 2.1 g cm−3) with 5.1 ≤ M ≤ 639 M
⊕ (or ≃2 M
J) and orbital periods greater than 10 days. Both M–R relations have in their density range a great predictive power for the determination of the mass of exoplanets and even for the largest icy moons of the solar system. The average fractal dimension of these planets is D = 2.6 ± 0.1, indicating that these objects likely have a similar degree of heterogeneity in their densities and a nearly similar composition in each sample. The M–R diagram shows a “gap” between ice-gas and iron-rock planets. This gap is a direct consequence of the density range of these two samples. We empirically propose an upper mass limit of about 100 M
⊕, so that an M–R relation for ice-gas planets in a narrow density range is defined by M ∝ R
3.
Impact of resonant magnetic perturbation on blob motion and structure using a gas puff imaging diagnostic on the HL-2A tokamak
Authors: YUAN Jinbang , XU Min , YU Yi , YUAN Boda , NIE Lin , JI Xiaoquan , SUN Tengfei , WANG Ao , LI Jiquan 
Published: April 2023

Abstract
The impact of resonant magnetic perturbation (RMP) on blob motion and structure in the SOL of the HL-2A tokamak is studied using a gas puff imaging diagnostic. Ellipse fitting is applied to study the structure and motion of blobs quantitatively. The radial locations, amplitudes and scale sizes of blobs are obtained based on the fitted ellipse. Furthermore, based on the measurement of blob location, the radial and poloidal velocities of blobs are calculated. With the application of RMP, the edge poloidal shear flow is significantly weakened and the wave number spectrum changes from quasisymmetric to significantly up-down asymmetric. The application of RMP also causes the detected blob location to be much further into the far scrape-off layer (SOL) and increases the blob amplitude. Blob poloidal velocity in the SOL is slowed. Larger-size and longer-lifetime blobs are observed with RMP. With the application of RMP, stronger-amplitude and larger-size blobs are detected in the far SOL and they may cause a more serious erosion problem to the first wall.
Support-Giving Is Associated With Lower Systemic Inflammation
Authors: Inagaki Tristen K , Alvarez Gabriella M , Orehek Edward , Ferrer Rebecca A , Manuck Stephen B , Abaya Nicole M , Muscatell Keely A 
Published: April 2023

Abstract

Background
Support-giving has emerged as a health-relevant social behavior, such that giving more support is associated with better physical health. However, biological mechanisms by which support-giving and health are linked remain unclear. Whether support-giving uniquely relates to health relative to other psychosocial factors is also an open research question.

Purpose
Two studies test the hypothesis that support-giving is uniquely (over-and-above other psychosocial factors) related to lower systemic inflammation, a biological correlate of health.

Methods
Cross-sectional associations of support-giving with markers of systemic inflammation (i.e., interleukin-6 [IL-6], C-reactive protein [CRP]) were examined in two independent samples of midlife adults (Study 1, n = 746; Study 2, n = 350).

Results
Consistent with hypotheses, giving to more social targets (to family and friends, and also volunteering for various causes), but not receiving support from similar targets, was associated with lower IL-6. In conceptual replication and extension with a different measure of support-giving, higher frequency of support-giving behavior was associated with lower IL-6, even after adjusting for social network size and individual differences in social desirability. There were no associations between support-giving and CRP in either sample.

Conclusions
Future research needs to establish causality and directly test mechanistic pathways, but together, findings reaffirm the health-relevance of support-giving behavior and shed light on a promising biological mechanism by which such effects may occur.