bluuebunny/crossref_metadata_2025_split huggingface dataset:
Global and regional prevalence of Cronobacter sakazakii in powdered milk and flour
Authors: Ekundayo Temitope C. , Ijabadeniyi Oluwatosin A. 
Published: March 2024

AbstractCronobacter sakazakii (Cz) infections linked with powdered milk/flour (PMF) are on the increase in recent times. The current study aimed at assessing worldwide and regional prevalence of Cz in PMF. Cz-PMF-directed data were conscientiously mined in four mega-databases via topic-field driven PRISMA protocol without any restriction. Bivariate analysis of datasets was conducted and then fitted to random-intercept logistic mixed-effects regressions with leave-one-study-out-cross-validation (LOSOCV). Small-study effects were assayed via Egger’s regression tests. Contributing factors to Cz contamination/detection in PMF were determined using 1000-permutation-bootstrapped meta-regressions. A total of 3761 records were found out of which 68 studies were included. Sample-size showed considerable correlation with Cz positivity (r = 0.75, p = 2.5e−17), Milkprod2020 (r = 0.33, p = 1.820e−03), and SuDI (r = − 0.30, p = 4.11e−03). The global prevalence of Cz in PMF was 8.39% (95%CI 6.06–11.51, PI: 0.46–64.35) with LOSOCV value of 7.66% (6.39–9.15; PI: 3.10–17.70). Cz prevalence in PMF varies significantly (p < 0.05) with detection methods, DNA extraction method, across continents, WHO regions, and world bank regions. Nation, detection method, world bank region, WHO region, and sample size explained 53.88%, 19.62%, 19.03%, 15.63%, and 9.22% of the true differences in the Cz prevalence in PMF, respectively. In conclusion, the results indicated that national will power in the monitoring and surveillance of Cz in PMF matched with adequate sample size and appropriate detection methods will go a long way in preventing Cz contamination and infections.
Quantum simulation of an extended Dicke model with a magnetic solid
Authors: Marquez Peraca Nicolas , Li Xinwei , Moya Jaime M. , Hayashida Kenji , Kim Dasom , Ma Xiaoxuan , Neubauer Kelly J. , Fallas Padilla Diego , Huang Chien-Lung , Dai Pengcheng , Nevidomskyy Andriy H. , Pu Han , Morosan Emilia , Cao Shixun , Bamba Motoaki , Kono Junichiro 
Published: March 2024

AbstractThe Dicke model describes the cooperative interaction of an ensemble of two-level atoms with a single-mode photonic field and exhibits a quantum phase transition as a function of light–matter coupling strength. Extending this model by incorporating short-range atom–atom interactions makes the problem intractable but is expected to produce new physical phenomena and phases. Here, we simulate such an extended Dicke model using a crystal of ErFeO3, where the role of atoms (photons) is played by Er3+ spins (Fe3+ magnons). Through terahertz spectroscopy and magnetocaloric effect measurements as a function of temperature and magnetic field, we demonstrated the existence of a novel atomically ordered phase in addition to the superradiant and normal phases that are expected from the standard Dicke model. Further, we elucidated the nature of the phase boundaries in the temperature–magnetic-field phase diagram, identifying both first-order and second-order phase transitions. These results lay the foundation for studying multiatomic quantum optics models using well-characterized many-body solid-state systems.
Enhanced thermal conductivity and self‐healing property of PUDA/boron nitride micro‐sheets composites with a small number of graphene nano‐platelets
Authors: Zhang Shiyu , Shang Zhihui , Ding Dongliang , Wang Xu , Wu Ya , Nian Shifeng , Liu Zhenguo , Zhang Qiuyu , Chen Yanhui 
Published: March 2024

AbstractSelf‐healing polyurethane diacrylate (PUDA) composites with outstanding thermal conductivity were prepared with variable boron nitride (BN) and a small number of graphene nanoplatelets (GNPs) (1 wt%). The thermal conductivity of PUDA composites containing 1 wt% GNPs and 29 wt% BN reached 1.73 W/(m·K), showing 27.2% increment compared to PUDA composites only with 30 wt% BN. BN and GNPs mutually promoted the dispersion in the PUDA matrix, and the small number of GNPs was enough to bridge the gaps between BN, so that GNPs and BN exerted a synergistic enhancement effect on the thermal conductivity of PUDA composites with a synergistic efficiency of 1.343. The PUDA composites maintained the tensile strength of 8.21 MPa with good electrical insulation (4.55 × 109 Ω cm). The high degrees of recovery of mechanical strength (>90%) and thermal conductivities (>84%) were also realised by the healing effect of the reversible DA reaction. The PUDA composites with excellent comprehensive properties show broad application potential in the thermal management of electronic devices.
Radial and azimuthal gradients of the moving groups in Gaia DR3: The slow and fast bar degeneracy problem
Authors: Bernet M. , Ramos P. , Antoja T. , Monari G. , Famaey B. 
Published: March 2024

Context. The structure and dynamics of the central bar of the Milky Way (MW) are still under debate whilst being fundamental ingredients for the evolution of our Galaxy. The recent Gaia DR3 offers an unprecedented detailed view of the 6D phase space of the MW, allowing for a better understanding of the complex imprints of the bar on the phase space.
Aims. We aim to identify and characterise the dynamical moving groups across the MW disc, and use their large-scale distribution to help constrain the properties of the Galactic bar.
Methods. We used 1D wavelet transforms of the azimuthal velocity (Vϕ) distribution in bins of radial velocity to robustly detect the kinematic substructure in the Gaia DR3 catalogue. We then connected these structures across the disc to measure the azimuthal (ϕ) and radial (R) gradients of Vϕ of the moving groups. We simulated thousands of perturbed distribution functions using backward integration, sweeping a large portion of parameter space of feasible Galaxy models that include a bar, in order to compare them with the data and to explore and quantify the degeneracies.
Results. The radial gradient of the Hercules moving group (∂Vϕ/∂R = 28.1 ± 2.8 km s−1 kpc−1) cannot be reproduced by our simple models of the Galaxy that show much larger slopes both for a fast and a slow bar. This suggests the need for more complex dynamics (e.g. a different bar potential, spiral arms, a slowing bar, a complex circular velocity curve, external perturbations, etc.). We measured an azimuthal gradient for Hercules of ∂Vϕ/∂ϕ = −0.63 ± 0.13 km s−1 deg−1 and find that it is compatible with both the slow and fast bar models. Our analysis points out that in using this type of analysis, at least two moving groups are needed to start breaking the degeneracies.
Conclusions. We conclude that it is not sufficient for a model to replicate the local velocity distribution; it must also capture its larger-scale variations. The accurate quantification of the gradients, especially in the azimuthal direction, will be key for the understanding of the dynamics governing the disc.
Effects of galaxy environment on merger fraction
Authors: Pearson W. J. , Santos D. J. D. , Goto T. , Huang T.-C. , Kim S. J. , Matsuhara H. , Pollo A. , Ho S. C.-C. , Hwang H. S. , Małek K. , Nakagawa T. , Romano M. , Serjeant S. , Suelves L. E. , Shim H. , White G. J. 
Published: March 2024

Aims.In this work we examine how environment influences the merger fraction, from the low density field environment to higher density groups and clusters. We also study how the properties of a group or cluster, as well as the position of a galaxy in the group or cluster, influences the merger fraction.Methods.We identified galaxy groups and clusters in the North Ecliptic Pole using a friends-of-friends algorithm and the local density. Once identified, we determined the central galaxies, group radii, velocity dispersions, and group masses of these groups and clusters. Merging systems were identified with a neural network as well as visually. With these identifications and properties of groups and clusters and merging galaxy identifications, we examined how the merger fraction changes as the local density changes for all galaxies as well as how the merger fraction changes as the properties of the groups or clusters change.Results.We find that the merger fraction increases as local density increases and decreases as the velocity dispersion increases, as is often found in the literature. A decrease in merger fraction as the group mass increases is also found. We also find that groups with larger radii have higher merger fractions. The number of galaxies in a group does not influence the merger fraction.Conclusions.The decrease in merger fraction as group mass increases is a result of the link between group mass and velocity dispersion. Hence, this decrease in merger fraction with increasing mass is a result of the decrease of merger fraction with velocity dispersion. The increasing relation between group radii and merger fraction may be a result of larger groups having smaller velocity dispersion at a larger distance from the centre or larger groups hosting smaller, infalling groups with more mergers. However, we do not find evidence of smaller groups having higher merger fractions.
SFM Fetal Therapy Practice Guidelines: Fetal Medical Therapy
Authors: Vikraman Seneesh Kumar , Bhatt Reema Kumar 
Published: March 2024

AbstractFetal medical therapy encompasses a wide range of pharmacological interventions aimed at preventing, treating, or ameliorating specific pathological conditions in the fetus. In contrast to fetal surgery, fetal medical interventions involve administering drugs either through transplacental transfer (maternal oral, intramuscular or intravenous injections) or direct administration to the fetus (intraumbilical, intraamniotic, intramuscular, intraperitoneal and intracardiac). The available interventions can be divided into four categories depending on the impact it has on fetal well-being and physiology, conditions amenable to medical therapy with established benefits, drugs with likely or potential benefits, maternal drug therapy with indirect fetal benefits, and drugs administered for nontherapeutic benefits. Careful selection of the cases, discussion under an institutional review board or a multidisciplinary team, strict adherence to standard guidelines and recommendations, and performance by physicians with adequate expertise are mandatory.
Pharmacoeconomic Analysis of Treating Lung Cancer with Different Regimens Using the Cheapest and Costliest Brand and the Generic Jan Aushadhi Drugs Marketed in India
Authors: Krishna Abhishek , Palatty Princy Louis , George Thomas , Baliga Manjeshwar Shrinath 
Published: March 2024

Abstract
Background/Purpose of the Study The costs of chemotherapy drugs which are vital in the treatment of lung cancer can be exorbitant. The current study was undertaken to ascertain cost minimization analysis by comparing costliest and cheapest branded with Jan Aushadhi (JA) drugs marketed in India.
Methods The cost of costliest, cheapest branded, and JA drugs were collected from the designated reference sites. The cost difference, cost ratio, and percentage of cost variation were calculated as per cost minimization study guidelines.
Results The results of the analysis suggest that the JA drugs were much cheaper than the branded drugs and when used in regimens resulted in substantial cost savings. The biggest financial advantage was seen in the commonly used cisplatin–pemetrexed regimen where cost saving of Rs. 268,002 was observed for the whole treatment of six cycles. Using JA drugs also reduced the cost for the targeted therapy with gefitinib and erlotinib.
Conclusion The cost minimization study, which is the first in this field of lung cancer, clearly indicates the usefulness of JA drugs in reducing financial costs for the patient.
3.2.1.1 Encoding Using Double-Stranded DNA: A Headpiece-Based DNA Ligation Strategy
Authors: Zhou Y. , Huang Y. , Xu L. , Xiong F. 
Published: March 2024

AbstractDNA-encoded chemical libraries (DELs) provide a powerful high-throughput screening platform that is used in both academia and industry. High-quality DELs lay the foundation for reliable DEL selection outcomes, and most pharmaceutical companies would prefer double-stranded DELs (dsDELs) because of their superior stability. Here, we summarize the experimental details for encoding a dsDEL, including the overall encoding strategy, synthetic chemistry of building-block addition, ligation strategies of code elongation, and quality control of the resulting libraries, exemplified with a 320-million-membered benzimidazole dsDEL from GlaxoSmithKline (GSK). We also briefly review the successful selection cases involving the presented libraries to highlight the great potential of dsDELs in drug discovery.
Another voice for another language?
Authors: Drouillet Lucie , Astésano Corine , Alazard-Guiu Charlotte 
Published: March 2024

Abstract
This study examines crosslinguistic vocal register variations (pitch level and range) within speakers of L1
French-L2 English and L1 English-L2 French. Participants were recorded on three tasks: reading aloud, video retelling, and free
speech, in both French and English. A separate analysis of the f 0 of voiced pauses in relation to vocal register is presented. The
main hypothesis is that French is spoken on a higher vocal register than English, the difference being due to the divergent prosodic systems of the two languages, as opposed to an effect of the language status for the speaker (L1 or L2). The results partially
confirm it, although the L1 and the task type influence the language effect. In addition, results indicate that pitch level and
pitch range can vary independently; that the task has a significant effect on vocal register; and that the f 0 of voiced pauses is
lower than the average speaking f 0, thus impacting its measure and raising methodological issues for the study of vocal
register.
Changes in the translator’s position on the author and readers
Authors: Lee Sang-Bin 
Published: March 2024

Abstract
This study explores the evolving perspectives of a Korean feminist translator through a detailed analysis of translatorial peritexts in three editions of Virginia Woolf’s Three Guineas. The first edition is a heavily edited translation tailored for uninitiated readers, featuring omissions of Woolf’s voluminous notes and additions such as chapter summaries and glossaries. The second edition includes a postface written as a letter to Woolf, where the translator critiques Woolf’s feminism and suggests postcolonial feminism as a better framework for Korean women. The final edition is a full translation with an introduction and notes from a renowned scholar, where the translator refrains from critiquing Woolf, focusing instead on expanding Woolf’s ideas and the scholar’s commentary. This study reveals various aspects of paratextuality, such as the variability of translatorial peritexts, tensions between authorial text and translatorial peritext, and the relation of the translator’s peritexts to their perceptions of the author and readers.
Model-based compensation of a concave nonlinear hysteresis in the electro-hydraulic pisition servo system
Authors: Sang Yong , Liao Lianjie , Guo Lianlong , Jiang Luming , Liu Jiakuo 
Published: March 2024

Abstract
Nonlinearity exerts a profound influence on the displacement performance of actuators within electro-hydraulic servo systems, particularly in the context of hysteresis. This article analyses a specific hysteresis responsible for control instability, a consequence of the concave-hysteresis loop, giving rise to a notable peak phenomenon in displacement. The behavior of the concave-hysteresis loop is studied in the step load experiment of a triaxial apparatus. Subsequently, an accurately formulated mathematical model utilizing a mathematical function is derived. Notably, the article introduces an efficacious model-based compensation algorithm that integrates nonlinear iteration and fuzzy control. This strategic approach effectively addresses the issue associated with calculating the inverse model when the sensor is located in a nonlinear, hook-shaped domain. Simulation and experimentation verified the concave-hysteresis loop model and the compensation algorithm. The experiment demonstrated the elimination of peak phenomena and a decrease in sensor error from 3.7 mm to below 0.5 mm.
An interactive method based on multi-objective optimization for limited-angle CT reconstruction
Authors: Wang Chengxiang , Xia Yuanmei , Wang Jiaxi , Zhao Kequan , Peng Wei , Yu Wei 
Published: March 2024

Abstract

Objective. Limited-angle x-ray computed tomography (CT) is a typical ill-posed inverse problem, leading to artifacts in the reconstructed image due to the incomplete projection data. Most iteration CT reconstruction methods involve optimization for a single object. This paper explores a multi-objective optimization model and an interactive method based on multi-objective optimization to suppress the artifacts of limited-angle CT. Approach. The model includes two objective functions on the dual domain within the data consistency constraint. In the interactive method, the structural similarity index measure (SSIM) is regarded as the value function of the decision maker (DM) firstly. Secondly, the DM arranges the objective functions of the multi-objective optimization model to be optimized according to their absolute importance. Finally, the SSIM and the simulated annealing (SA) method help the DM choose the desirable reconstruction image by improving the SSIM value during the iteration process. Main results. Simulation and real data experiments demonstrate that the artifacts can be suppressed by the proposed method, and the results were superior to those reconstructed by the other three reconstruction methods in preserving the edge structure of the image. Significance. The proposed interactive method based on multi-objective optimization shows some potential advantages over classical single object optimization methods.
ZnPc based multifunctional devices designed as fast capacitors, rectifiers, infrared detectors and microwave resonators adequate for 6 G technology applications
Authors: Qasrawi A F , Daragme Rana B 
Published: March 2024

Abstract
Herein Zinc phthalocyanine (ZnPc) based multifunctional devices are fabricated and characterized. The device fabrication included formation of an Au nanosheets onto n-Si wafers and coating these nanosheets with 500 nm thick ZnPc layer. Silver and platinum were used to form a Schottky and an ohmic contacts with n-Si and ZnPc, respectively. The device hybrid structure (Ag/n-Si/Au/p-ZnPc/Pt; abbreviated as ASZ) is composed of Ag/n-Si Schottky arm and p- and n- layers forming pn junction separated by Au nanosheets. Electrical and photoelectrical measurements on the ASZ devices have shown their ability to perform as conventional metal-oxide-semiconductor capacitors (CMOS). These CMOS devices showed light and frequency controlled charge accumulation, depletion and inversion mechanisms within the range of 1.0–50 MHz. The flat band and threshold voltages of the ASZ capacitors are engineered by the imposed ac signal frequency and by infrared (IR) light. In addition, ASZ devices performed as biasing controlled IR photosensors and as current rectifiers. A rectification ratio of 103, IR light sensitivity of 39, specific detectivity of .96

×

10

9

Jones and current responsivity exceeding 9.0 mA W−1 are recorded at biasing voltage of 4.5 V. Moreover ASZ devices displayed microwave resonator characteristics presented by negative capacitance effect, resonance –antiresonance phenomena and high microwave cutoff frequency. The latter is larger than 10 GHz nominating the device for 6 G technology applications.
The generation of ultra-long longitudinally polarized optical needle with multi-belt complex phase filter
Authors: Liu Mingyu , Zhang Yang , Li Xiaobing , Sun Jiayang , Wu Wenzhi , Kong Degui 
Published: March 2024

Abstract
In the paper, a multi-belt complex phase filter was optimized by increasing the number of belts and changing phase and amplitude parameters of the filter. By focusing radially polarized sinh-Gaussian beams in single objective system with high-NA lens, longitudinal polarized optical needles were obtained with super-resolution in focal plane. And the super-resolution optical needle owned 36.6λ depth of focus and 0.42λ of full–width at half-maximum. The aspect ratio of the obtained optical needle was 87.14. The beam quality reached to 87.7%. The results demonstrated that the optimized multi-belt complex phase filter can lengthen depth of focus and compress transverse size simultaneously. The obtained longitudinally polarization optical needles can be used in the fields of optical data storage, super-resolution imaging, particle trapping, nanolithography and so on.
How a student becomes a teacher: learning and forgetting through spectral methods
Authors: Giambagli Lorenzo , Buffoni Lorenzo , Chicchi Lorenzo , Fanelli Duccio 
Published: March 2024

Abstract
In theoretical machine learning, the teacher–student paradigm is often employed as an effective metaphor for real-life tuition. A student network is trained on data generated by a fixed teacher network until it matches the instructor’s ability to cope with the assigned task. The above scheme proves particularly relevant when the student network is overparameterized (namely, when larger layer sizes are employed) as compared to the underlying teacher network. Under these operating conditions, it is tempting to speculate that the student ability to handle the given task could be eventually stored in a sub-portion of the whole network. This latter should be to some extent reminiscent of the frozen teacher structure, according to suitable metrics, while being approximately invariant across different architectures of the student candidate network. Unfortunately, state-of-the-art conventional learning techniques could not help in identifying the existence of such an invariant subnetwork, due to the inherent degree of non-convexity that characterizes the examined problem. In this work, we take a decisive leap forward by proposing a radically different optimization scheme which builds on a spectral representation of the linear transfer of information between layers. The gradient is hence calculated with respect to both eigenvalues and eigenvectors with negligible increase in terms of computational and complexity load, as compared to standard training algorithms. Working in this framework, we could isolate a stable student substructure, that mirrors the true complexity of the teacher in terms of computing neurons, path distribution and topological attributes. When pruning unimportant nodes of the trained student, as follows a ranking that reflects the optimized eigenvalues, no degradation in the recorded performance is seen above a threshold that corresponds to the effective teacher size. The observed behavior can be pictured as a genuine second-order phase transition that bears universality traits. Code is available at: https://github.com/Jamba15/Spectral-regularization-teacher-student/tree/master.