bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcriptomics profile of human bronchial epithelial cells exposed to ambient fine particles and influenza virus (H3N2)
Authors: Liu Yuan , Wang Yinbiao , Zhang Rui , Wang Shaolan , Li Juan , An Zhen , Song Jie , Wu Weidong 
Published: November 2023

AbstractFine particulate matter (PM2.5) pollution remains a major threat to public health. As the physical barrier against inhaled air pollutants, airway epithelium is a primary target for PM2.5 and influenza viruses, two major environmental insults. Recent studies have shown that PM2.5 and influenza viruses may interact to aggravate airway inflammation, an essential event in the pathogenesis of diverse pulmonary diseases. Airway epithelium plays a critical role in lung health and disorders. Thus far, the mechanisms for the interactive effect of PM2.5 and the influenza virus on gene transcription of airway epithelial cells have not been fully uncovered. In this present pilot study, the transcriptome sequencing approach was introduced to identify responsive genes following individual and co-exposure to PM2.5 and influenza A (H3N2) viruses in a human bronchial epithelial cell line (BEAS-2B). Enrichment analysis revealed the function of differentially expressed genes (DEGs). Specifically, the DEGs enriched in the xenobiotic metabolism by the cytochrome P450 pathway were linked to PM2.5 exposure. In contrast, the DEGs enriched in environmental information processing and human diseases, such as viral protein interaction with cytokines and cytokine receptors and epithelial cell signaling in bacterial infection, were significantly related to H3N2 exposure. Meanwhile, co-exposure to PM2.5 and H3N2 affected G protein-coupled receptors on the cell surface. Thus, the results from this study provides insights into PM2.5- and influenza virus-induced airway inflammation and potential mechanisms.
Spinning magnetic field patterns that cause oncolysis by oxidative stress in glioma cells
Authors: Hambarde Shashank , Manalo Jeanne M. , Baskin David S. , Sharpe Martyn A. , Helekar Santosh A. 
Published: November 2023

AbstractRaising reactive oxygen species (ROS) levels in cancer cells to cause macromolecular damage and cell death is a promising anticancer treatment strategy. Observations that electromagnetic fields (EMF) elevate intracellular ROS and cause cancer cell death, have led us to develop a new portable wearable EMF device that generates spinning oscillating magnetic fields (sOMF) to selectively kill cancer cells while sparing normal cells in vitro and to shrink GBM tumors in vivo through a novel mechanism. Here, we characterized the precise configurations and timings of sOMF stimulation that produce cytotoxicity due to a critical rise in superoxide in two types of human glioma cells. We also found that the antioxidant Trolox reverses the cytotoxic effect of sOMF on glioma cells indicating that ROS play a causal role in producing the effect. Our findings clarify the link between the physics of magnetic stimulation and its mechanism of anticancer action, facilitating the development of a potential new safe noninvasive device-based treatment for GBM and other gliomas.
Exploring the molecular mechanism underlying the psoriasis and T2D by using microarray data analysis
Authors: Yang Li , Zhang Lei , Du Qingfang , Gong Xiaoyu , Tian Jun 
Published: November 2023

AbstractAlthough a large number of evidence has identified that psoriasis is significantly correlated with type 2 diabetes (T2D), the common molecular mechanism of its occurrence remains unclear. Our study aims to further elucidate the mechanism of the occurrence of this complication. We obtained the gene expression data of psoriasis (GSE30999) and T2D (GSE28829) from the Gene Expression Omnibus (GEO) dataset. Then the common differentially expressed genes (DEGs) of T2D and psoriasis were identified. After that, we performed three types of analyses about these DEGs, including functional enrichment analysis, protein–protein interaction (PPI) network and module manufacture, hub genes identification and co-expression analysis. 132 common DEGs (14 upregulated genes and 118 downregulated genes) were identified for subsequent a series of analyses. Function enrichment analysis demonstrated that Rap1 signaling pathway, PI3K-Akt signaling pathway, and cGMP-PKG signaling pathway may play a significant role in pathogenesis of psoriasis and T2D. Finally, 3 important hub genes were selected by utilizing cytoHubba, including SNRPN, GNAS, IGF2. Our work reveals the potential common signaling pathways of psoriasis and T2D. These Hub genes and common signaling pathways provide insights for further investigation of molecular mechanism about psoriasis and T2D.
Improving neural ordinary differential equations via knowledge distillation
Authors: Chu Haoyu , Wei Shikui , Lu Qiming , Zhao Yao 
Published: November 2023

AbstractNeural ordinary differential equations (ODEs) (Neural ODEs) construct the continuous dynamics of hidden units using ODEs specified by a neural network, demonstrating promising results on many tasks. However, Neural ODEs still do not perform well on image recognition tasks. The possible reason is that the one‐hot encoding vector commonly used in Neural ODEs can not provide enough supervised information. A new training based on knowledge distillation is proposed to construct more powerful and robust Neural ODEs fitting image recognition tasks. Specially, the training of Neural ODEs is modelled into a teacher‐student learning process, in which ResNets are proposed as the teacher model to provide richer supervised information. The experimental results show that the new training manner can improve the classification accuracy of Neural ODEs by 5.17%, 24.75%, 7.20%, and 8.99%, on Street View House Numbers, CIFAR10, CIFAR100, and Food‐101, respectively. In addition, the effect of knowledge distillation is also evaluated in Neural ODEs on robustness against adversarial examples. The authors discover that incorporating knowledge distillation, coupled with the increase of the time horizon, can significantly enhance the robustness of Neural ODEs. The performance improvement is analysed from the perspective of the underlying dynamical system.
JCCM: Joint conformer and CNN model for overlapping radio signals recognition
Authors: Liang Junbin , Li Xiaofan , Liang Chao , Tong Hao , Mai Xiaoyan , Kong Rui 
Published: November 2023

AbstractOverlapping radio signals recognition is attracting more attention as the development and ubiquitous application of radio technologies. The traditional blind signal separation (BSS) method is mostly not effective when both radio propagation effects and low signal‐to‐noise ratio (SNR) scenarios are taken into consideration. In this letter, joint conformer and CNN model (JCCM) is proposed to separate and recognize the overlapping radio signals which are also unknown by the monitor node. JCCM utilizes the attention mechanism of conformer to encode signal spectrum into feature maps and decodes the feature maps into signal component proportions by perceiving the global and local features through convolutional neural networks (CNN). In addition, a signal preprocessing module is designed including MinPool and AvgPool layers for signal denoising. JCCM is evaluated in terms of signal separation, scaling preservation and principal signal classification experiments. The results show that JCCM has better performance especially in low SNR conditions.
Transient RFI environment of LOFAR-LBA at 72–75 MHz
Authors: Gehlot B. K. , Koopmans L. V. E. , Brackenhoff S. A. , Ceccotti E. , Ghosh S. , Höfer C. , Mertens F. G. , Mevius M. , Munshi S. , Offringa A. R. , Pandey V. N. , Rowlinson A. , Shulevski A. , Wijers R. A. M. J. , Yatawatta S. , Zaroubi S. 
Published: November 2023

Context.Measurement of the highly redshifted and faint 21-cm signal of neutral hydrogen from the Cosmic Dawn and Epoch of Reionisation promises to unveil a wealth of information about the astrophysical processes that governed the structure formation and evolution of the universe during the first billion years of its evolution.Aims.The AARTFAAC Cosmic Explorer (ACE) program utilises the AARTFAAC wide-field imager of LOFAR to measure the power spectrum of the intensity fluctuations of the redshifted 21-cm signal from the Cosmic Dawn atz ∼ 18 corresponding to the global 21-cm absorption feature reported by the EDGES experiment. Radio frequency interference (RFI) from various sources, such as aeroplane communication, contaminates the observed data and it is crucial to exclude the RFI-affected data in the analysis for any reliable detection. In this work, we solely focus on investigating the impact of non-ground-based transient RFI on the analysis of ACE observations.Methods.We use cross-power spectra and cross-coherence metrics to assess the correlation of RFI over time and investigate the level of impact of transient RFI on the 21-cm signal power spectrum estimation.Results.We detected moving sky-based transient RFI sources that cross the field of view within a few minutes and appear to be mainly from aeroplane communication beacons at the location of the LOFAR core in the 72−75 MHz band (a part of the EDGES absorption trough), by inspecting filtered images. We find that this transient RFI is mostly uncorrelated over time and is only expected to dominate over the thermal noise for an extremely deep integration time of 3000 h or more with a hypothetical instrument that is sky temperature dominated at 75 MHz. We find no visible correlation over differentk-modes in Fourier space in the presence of noise for realistic thermal noise scenarios.Conclusions.We conclude that the sky-based transient RFI from aeroplanes, satellites and meteorites at present does not pose a significant concern for the ACE analyses at the current level of sensitivity and after integrating over the available ∼500 h of observed data. However, it is crucial to mitigate or filter such transient RFI for more sensitive experiments aiming for significantly deeper integration.
Characterisation of chaos and mean-motion resonances in meteoroid streams
Authors: Courtot Ariane , Saillenfest Melaine , Vaubaillon Jérémie , Fouchard Marc 
Published: November 2023

Context. Dynamically linking a meteor shower with its parent body is challenging, and chaos in the dynamics of meteoroid streams may contribute to this challenge. For a robust identification of parent bodies, it is therefore necessary to quantify the amount of chaos involved in the evolution of meteoroid streams.
Aims. Characterising chaos in meteoroid streams through the aid of chaos maps is still a new field of study. Thus, we examine two very different meteoroid streams, the Draconids and the Leonids, in order to obtain a general view of this topic.
Methods. We used the method developed in a previous paper dedicated to Geminids, drawing chaos maps with the orthogonal fast Lyapunov indicator. We chose four particle size ranges to investigate the effect of non-gravitational forces. As the dynamics are structured by mean-motion resonances with planets, we computed the locations and widths of the resonances at play. We used semi-analytical formulas valid for any eccentricity and inclination and an arbitrary number of planets.
Results. We pinpoint which mean-motion resonances with Jupiter play a major role in the dynamics of each meteoroid stream. We show how those resonances tend to trap mostly large particles, preventing them from meeting with Jupiter. We also study particles that manage to escape those resonances, for example, due to the gravitational perturbation of Saturn. Finally, we explain why non-gravitational forces do not disturb the dynamics much, contrary to what is observed for the Geminids.
Association between Functional Movement Screening™ scores and non-contact injuries in amateur rugby players
Authors: Tondelli Eduardo , Bittencourt Natalia , Villalba Federico , Zabaloy Santiago 
Published: November 2023

Objective: To examine the associations between the Functional Movement Screening (FMS™) scores and asymmetries between limbs in the different tasks with non-contact injuries in senior amateur rugby union players.
Method The design was a prospective cohort study. Sixty-eight (n = 68) male senior amateur rugby players completed the FMS™, which assesses seven functional movements on a scale of 0 to 3 and provides a total score of up to 21. Players were subsequently monitored for injuries during one competitive season. Likewise, match and training non-contact injuries with the associated variables were collected.
Results: Twenty-two (32.3%) players sustained one non-contact injury during the season. The median time lost was 24.5 days (IQR [15; 383]). Injured players showed a mean FMS™ composite of 14.50(SD 1.74), and non-injured showed a mean FMS™ composite of 14.57(SD 2.25). No statistically significant association was found between the presence of non-contact injuries and FMS™ composite score (OR = 0.98 [0.77; 1.27]) or FMS™ categorical score (≤ 14) (OR = 0.64 [0.23; 1.78]). The presence of an asymmetry between limbs in the active straight leg raise was associated with non-contact injuries (OR: 4.69 [1.35 - 17.9]) (p = 0.02).
Conclusion: FMS™ composite did not show differences between injured and non-injured players. Asymmetry in the active straight leg raise was strongly associated with non-contact injury occurrence.
Value of Edema-like Marrow Signal Intensity in Diagnosis of Joint Pain: Radiologists' Perspective
Authors: Kim Dong Kyun , Lee Sheen-Woo 
Published: November 2023

AbstractMusculoskeletal pain is a significant contributor to disability. The mechanism and target of the treatment should be optimized by imaging, but currently no accepted gold standard exists to image pain. In addition to end-organ pathology, other mediators also contribute to nociception, such as angiogenesis, axonal extension, immunologic modulation, and central sensitization. Recent research indicates that local inflammation is a significant contributor to pain in the extremities; therefore, we focus here on edema-like marrow signal intensity (ELMSI). We examine both the relevance of ELMSI for pain and novel imaging techniques.
Salivary Trefoil Factor (TFF3) in Stage I–II Periodontitis: A Prospective Clinical Study
Authors: Palwankar Pooja , Verma Ritika , Pandey Ruchi , Goyal Anjana 
Published: November 2023

Abstract
Objective This article evaluates the salivary trefoil factor levels using enzyme-linked immunosorbent assay and clinical parameters in stage I to II periodontitis subjects.
Materials and Method A total of 44 subjects with periodontitis and healthy periodontium were enrolled for the study as per the inclusion criteria. The subjects were selected and categorized as group A (control group) and group B (test group). Scaling was performed on healthy subjects at baseline and 1 month if necessary and scaling and root planing was performed for periodontitis subjects. Trefoil factor 3 (TFF3) levels was analyzed at first and post-nonsurgical periodontal therapy followed by clinical parameters, respectively.
Statistical Analysis Inferential statistics were performed using independent t-test and repeated measures of analysis of variance (ANOVA) test. Independent t-test was used for the intergroup comparison of all the variables. Repeated measures of ANOVA test along with post hoc Bonferroni test was used for the intragroup comparison and the level of statistical significance was set at 0.001.
Results Difference in TFF3 levels and clinical parameters was seen between groups A and B, which was statistically significant.
Conclusion Within the constraints of the study, it can be stated that TFF3 is a relevant biomarker to determine the activity and association of periodontal and systemic diseases, gastrointestinal disorders, and inflammatory bowel diseases.
Transient price setting in the era of automated systems: the ‘hands-on’ hotel general manager lives on!
Authors: Haynes Natalie , Egan David 
Published: November 2023

AbstractHotel pricing discussions seem to be increasingly dominated by automated revenue management and pricing systems without considering human interaction. Using grounded theory, this paper foregrounds the voice of twenty managers and exposes the complexities and realities of their involvement in price decision-making. A hybrid price decision-making process was discovered where the hotel general manager remains in control despite automation, due to their modus operandi to control the performance of their hotel by using their local market and customer knowledge in the pricing process. This indicates that for revenue management at hotel unit level there is an often-unseen gap between theory and practice.
Identification and characterization of deep nitrogen acceptors in β-Ga2O3 using defect spectroscopies
Authors: Ghadi Hemant , McGlone Joe F. , Cornuelle Evan , Senckowski Alexander , Sharma Shivam , Wong Man Hoi , Singisetti Uttam , Frodason Ymir Kalmann , Peelaers Hartwin , Lyons John L. , Varley Joel B. , Van de Walle Chris G. , Arehart Aaron , Ringel Steven A. 
Published: November 2023

The ability to achieve highly resistive beta-phase gallium oxide (β-Ga2O3) layers and substrates is critical for β-Ga2O3 high voltage and RF devices. To date, the most common approach involves doping with iron (Fe), which generates a moderately deep acceptor-like defect state located at EC-0.8 eV in the β-Ga2O3 bandgap. Recently, there has been growing interest in alternative acceptors, such as magnesium (Mg) and nitrogen (N), due to their predicted deeper energy levels, which could avoid inadvertent charge modulation during device operation. In this work, a systematic study that makes direct correlations between the introduction of N using ion implantation and the observation of a newly observed deep level at EC-2.9 eV detected by deep-level optical spectroscopy (DLOS) is presented. The concentration of this state displayed a monotonic dependence with N concentration over a range of implant conditions, as confirmed by secondary ion mass spectrometry (SIMS). With a near 1:1 match in absolute N and EC-2.9 eV trap concentrations from SIMS and DLOS, respectively, which also matched the measured removal of free electrons from capacitance-voltage studies, this indicates that N contributes a very efficiently incorporated compensating defect. Density functional theory calculations confirm the assignment of this state to be an N (0/−1) acceptor with a configuration of N occupying the oxygen site III [NO(III)]. The near ideal efficiency for this state to compensate free electrons and its location toward the midgap region of the β-Ga2O3 bandgap demonstrates the potential of N doping as a promising approach for producing semi-insulating β-Ga2O3.
Thermodynamic-driven selective synthesis and phase transformation of Sr-doped neodymium nickelate Ruddlesden–Popper epitaxial films
Authors: Gao Xiaofei , Liu Junhua , Ji Yaoyao , Wei Long , Xiao Wen , Hu Shilin , Li Lin , Gan Yulin , Chen Kai , Liao Zhaoliang 
Published: November 2023

Recent discovery of the signature of 80 K superconductivity in La3Ni2O7 single crystals under high pressure sheds the light on the realization of high temperature superconductors from Ruddlesden–Popper nickelates. Here, we demonstrated the realization of selective fabrication of Nd0.8Sr0.2NiO3 perovskite films and (Nd0.8Sr0.2)2NiO4 Ruddlesden–Popper films from one ceramic Nd0.8Sr0.2NiO3 target simply by controlling the growth temperature. Our results further show that the as-grown Nd0.8Sr0.2NiO3 films can be transformed to (Nd0.8Sr0.2)2NiO4 by annealing in air at 1000 °C. Nd0.8Sr0.2NiO3 and (Nd0.8Sr0.2)2NiO4 films were found to be metallic and insulating, respectively. X-ray photoelectron spectroscopy results reveal that the as-grown (Nd0.8Sr0.2)2NiO4 films contained NiO impurity, which can be removed by high temperature annealing. X-ray absorption spectroscopy measurements indicate a lower Ni valence state and weakened hybridization between Ni–O in (Nd0.8Sr0.2)2NiO4 films. Substrate lattice strain strongly affects the stability of Nd0.8Sr0.2NiO3 and the formation of (Nd0.8Sr0.2)2NiO4. These results suggest an important role of thermodynamic principles in the growth and post-annealing of nickelate films. These findings provide an approach to obtain Ruddlesden–Popper series nickelate films and offer certain impetuses to the development of nickelate superconductivity.
Quantized fault-tolerant pinning control for finite-time H∞ synchronization of T-S fuzzy discrete Markovian-jump complex networks subject to heterogeneous delays
Authors: Wu Xiru , Wu Rili , Zhang Yuchong , Wang Yaonan , Huang Lihong 
Published: November 2023

Abstract
This paper investigates the finite-time

ℋ
∞

pinning synchronization problem for a class of T-S fuzzy discrete Markovian-jump complex networks (TSFDMCNs) influenced by heterogeneous delays. The evolution of system parameters follows the Markov jump process according to a transition probability matrix with partly unknown elements. Based on the system state output, quantized fault-tolerant pinning controller (QFTPC) is designed to overcome communication limitations and varying actuator fault. Besides, the asynchronous signal generated by the hidden Markov model is employed in controller to make full use of received information. A novel mode-dependent Lyapunov- Krasovskii functional (LKF) is established to guarantee the error system mean-square finite-time bounded with the prescribed

ℋ
∞

performance. In order to reduce conservatism of derived results, an improved Wirtinger-based inequality technique is applied in considering both lower and upper bounds of different delay. Finally, simulation examples illustrate the effectiveness and meliority of the proposed theoretical methods.
Experimental determination of Poincaré beam coordinates on a Hybrid order Poincaré sphere
Authors: Bansal Sarvesh , Senthilkumaran P 
Published: November 2023

Abstract
Hybrid order Poincaré sphere (HyOPS) is used to represent Poincaré beams as points on it. The latitude and longitude of the HyOPS represent the size of the Stokes vortex ring and Pancharatnam phase of the Poincaré beam respectively. Although the HyOPS was introduced in 2015, there is no method that allows one to unambiguously determine the coordinates of Poincaré beams on this sphere. In this article, by subjecting the Poincaré beams to angular momentum and polarization transformations using conventional phase and polarizing elements respectively, we demonstrate an experimental method to determine the coordinates of the Poincaré beams on the HyOPS. This method may enable one to study the chirality and circular dichroism in materials and to enable us to segregate them, where both phenomena occur simultaneously.
Cosmic birefringence from the Axiverse
Authors: Gasparotto Silvia , Sfakianakis Evangelos I. 
Published: November 2023

Abstract
We revisit the evidence for CMB birefringence in the context of a rich Axiverse. Using probability density functions (PDFs) for various axion parameters,
such as the mass and axion decay constant, we construct the PDF for the
cosmic birefringence angle and investigate its properties.
By relating the observed value of the birefringence angle to the mean or standard deviation
of the constructed PDF, we constrain the shape of the input PDFs, providing insights
into the statistical distribution of the Axiverse. We focus on three different types of axion
potentials: cosine, quadratic, and asymptotically linear axion monodromy.
Our
analysis showcases the potential of cosmic birefringence in constraining the distribution
of axion parameters and uncovering possible correlations among them.
We additionally offer
predictions for “birefringence tomography”, anticipating future measurements of birefringence from
lower multipoles, and show how it can be used to rule out simpler versions of the Axiverse. Our findings contribute to the
ongoing exploration of the Axiverse and its implications for cosmic birefringence.