bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tackling FGFR3-driven bladder cancer with a promising synergistic FGFR/HDAC targeted therapy
Authors: Wang Zechen , Muthusamy Viswanathan , Petrylak Daniel P. , Anderson Karen S. 
Published: July 2023

AbstractBladder cancer (BC) is one of the most prevalent malignancies worldwide and FGFR3 alterations are particularly common in BC. Despite approval of erdafitinib, durable responses for FGFR inhibitors are still uncommon and most patients relapse to metastatic disease. Given the necessity to discover more efficient therapies for BC, herein, we sought to explore promising synergistic combinations for BC with FGFR3 fusions. Our studies confirmed the synergy between FGFR and HDAC inhibitors in vitro and demonstrated its benefits in vivo. Mechanistic studies revealed that quisinostat can downregulate FGFR3 expression by suppressing FGFR3 translation. Additionally, quisinostat can also sensitize BC cells to erdafitinib by downregulating HDGF. Furthermore, the synergy was also confirmed in BC cells with FGFR3 S249C. This study discovers a new avenue for treatment of FGFR3-driven BC and uncovers new mechanistic insights. These preclinical studies pave the way for a direct translation of this combination to early phase clinical trials.
Comprehensive analysis of intercellular communication in the thermogenic adipose niche
Authors: Shamsi Farnaz , Zheng Rongbin , Ho Li-Lun , Chen Kaifu , Tseng Yu-Hua 
Published: July 2023

AbstractBrown adipose tissue (BAT) is responsible for regulating body temperature through adaptive thermogenesis. The ability of thermogenic adipocytes to dissipate chemical energy as heat counteracts weight gain and has gained considerable attention as a strategy against obesity. BAT undergoes major remodeling in a cold environment. This remodeling results from changes in the number and function of brown adipocytes, expanding the network of blood vessels and sympathetic nerves, and changes in the composition and function of immune cells. Such synergistic adaptation requires extensive crosstalk between individual cells in the tissue to coordinate their responses. To understand the mechanisms of intercellular communication in BAT, we apply the CellChat algorithm to single-cell transcriptomic data of mouse BAT. We construct an integrative network of the ligand-receptor interactome in BAT and identify the major signaling inputs and outputs of each cell type. By comparing the ligand-receptor interactions in BAT of mice housed at different environmental temperatures, we show that cold exposure enhances the intercellular interactions among the major cell types in BAT, including adipocytes, adipocyte progenitors, lymphatic and vascular endothelial cells, myelinated and non-myelinated Schwann cells, and immune cells. These interactions are predicted to regulate the remodeling of the extracellular matrix, the inflammatory response, angiogenesis, and neurite growth. Together, our integrative analysis of intercellular communications in BAT and their dynamic regulation in response to housing temperatures provides a new understanding of the mechanisms underlying BAT thermogenesis. The resources presented in this study offer a valuable platform for future investigations of BAT development and thermogenesis.
Self-correcting quantum many-body control using reinforcement learning with tensor networks
Authors: Metz Friederike , Bukov Marin 
Published: July 2023

AbstractQuantum many-body control is a central milestone en route to harnessing quantum technologies. However, the exponential growth of the Hilbert space dimension with the number of qubits makes it challenging to classically simulate quantum many-body systems and, consequently, to devise reliable and robust optimal control protocols. Here we present a framework for efficiently controlling quantum many-body systems based on reinforcement learning (RL). We tackle the quantum-control problem by leveraging matrix product states (1) for representing the many-body state and (2) as part of the trainable machine learning architecture for our RL agent. The framework is applied to prepare ground states of the quantum Ising chain, including states in the critical region. It allows us to control systems far larger than neural-network-only architectures permit, while retaining the advantages of deep learning algorithms, such as generalizability and trainable robustness to noise. In particular, we demonstrate that RL agents are capable of finding universal controls, of learning how to optimally steer previously unseen many-body states and of adapting control protocols on the fly when the quantum dynamics is subject to stochastic perturbations. Furthermore, we map our RL framework to a hybrid quantum–classical algorithm that can be performed on noisy intermediate-scale quantum devices and test it under the presence of experimentally relevant sources of noise.
Blood–brain barrier lesion – a novel determinant of autonomic imbalance in heart failure and the effects of exercise training
Authors: Raquel Hiviny de Ataides , Pérego Sany M. , Masson Gustavo S. , Jensen Leonardo , Colquhoun Alison , Michelini Lisete C. 
Published: July 2023

AbstractHeart failure (HF) is characterized by reduced ventricular function, compensatory activation of neurohormonal mechanisms and marked autonomic imbalance. Exercise training (T) is effective to reduce neurohormonal activation but the mechanism underlying the autonomic dysfunction remains elusive. Knowing that blood–brain barrier (BBB) lesion contributes to autonomic imbalance, we sought now to investigate its involvement in HF- and exercise-induced changes of autonomic control. Wistar rats submitted to coronary artery ligation or SHAM surgery were assigned to T or sedentary (S) protocol for 8 weeks. After hemodynamic/autonomic recordings and evaluation of BBB permeability, brains were harvesting for ultrastructural analysis of BBB constituents, measurement of vesicles trafficking and tight junction’s (TJ) tightness across the BBB (transmission electron microscopy) and caveolin-1 and claudin-5 immunofluorescence within autonomic brain areas. HF-S rats versus SHAM-S exhibited reduced blood pressure, augmented vasomotor sympathetic activity, increased pressure and reduced heart rate variability, and, depressed reflex sensitivity. HF-S also presented increased caveolin-1 expression, augmented vesicle trafficking and a weak TJ (reduced TJ extension/capillary border), which determined increased BBB permeability. In contrast, exercise restored BBB permeability, reduced caveolin-1 content, normalized vesicles counting/capillary, augmented claudin-5 expression, increased TJ tightness and selectivity simultaneously with the normalization of both blood pressure and autonomic balance. Data indicate that BBB dysfunction within autonomic nuclei (increased transcytosis and weak TJ allowing entrance of plasma constituents into the brain parenchyma) underlies the autonomic imbalance in HF. Data also disclose that exercise training corrects both transcytosis and paracellular transport and improves autonomic control even in the persistence of cardiac dysfunction.
Studies on plasma‐activated perilla seed oil: Diagnosis, optimisation, and validation of reactive species
Authors: Wang Xiaolong , Liu Jun , Li Quanxin , Li Lian , Li Shanrui , Ding Yunhan , Zhao Tong , Sun Ying , Zhang Yuantao 
Published: July 2023

AbstractRecently, the applications of cold atmospheric plasma (CAP) in liquid treatment have attracted increasing attention owing to its excellent medical efficacy. It has been proved that CAP can effectively enhance the biological activity of vegetable oils due to the generation of reactive species. Optimising the reactor parameter is an important approach to regulate reactive species in plasma‐activated oil to obtain better biological effects. In this study, a self‐made jet array driven by a pulsed power supply was used to generate large‐area plasma to irradiate perilla seed oil (PSO), with the formation of plasma‐activated perilla seed oil (PAPSO). By means of laser‐induced fluorescence and chemical titration, the relative density of hydroxyl radical radical in plasma jet, as well as the activity of PAPSO were measured under different discharge parameters, and realised the control of the activity of PAPSO. In vitro experiments showed that PAPSO significantly enhanced its ability to inhibit cancer cells proliferation and induce apoptosis after plasma treatment, which provides a reference for cancer treatment. This study is helpful to further understand the influence of plasma dose effect on the activity of media and provide guidance for related plasma medical applications.
Long‐time coherent integration for radar detection of manoeuvring targets based on accurate range evolution model
Authors: Xu Zeyu , Zhou Gongjian 
Published: July 2023

AbstractLong‐time coherent integration (LTCI) is one of the most effective approaches to enhance radar detection ability of weak targets. The existing LTCI methods generally assume that the target motion satisfies polynomial models in range coordinates. However, it may be hard to provide precise description of common target motions, especially manoeuvring motions, using a polynomial with finite terms. In this study, LTCI for radar detection of weak manoeuvring targets is investigated. The range evolution rules over time are derived and employed to formulate the target signal for two common manoeuvring motions, constant acceleration (CA) and constant turn (CT) motions in Cartesian coordinates. Aiming at realising accurate energy accumulation and improving detection performance of CA and CT targets, two LTCI algorithms based on the derived range evolution model are proposed. By extracting target signal and compensating for phase fluctuation between samples in accordance with the accurate range evolution model, the coherent accumulation of target signal can be effectively accomplished, eliminating the complex range and Doppler frequency migration effects simultaneously. The use of accurate range evolution model guarantees effective energy integration regardless of target manoeuvrability and integration time as long as the target performs CA or CT motion. Moreover, more information of target kinematic characteristics such as target acceleration and turn rate, additional to range and Doppler, can be observed. Simulations are conducted to validate the effectiveness of the proposed algorithms.The cover image is based on the Research Article Long‐time coherent integration for radar detection of manoeuvring targets based on accurate range evolution model by Zeyu Xu et al., https://doi.org/10.1049/rsn2.12445.
Spacecraft VLBI tracking to enhance stellar occultations astrometry of planetary satellites
Authors: Fayolle M. , Lainey V. , Dirkx D. , Gurvits L. I. , Cimo G. , Bolton S. J. 
Published: July 2023

Context.Stellar occultations currently provide the most accurate ground-based measurements of the positions of natural satellites (down to a few kilometres for the Galilean moons). However, when using these observations in the calculation of satellite ephemerides, the uncertainty in the planetary ephemerides dominates the error budget of the occultation.Aims.We quantify the local refinement in the central planet’s position achievable by performing Very Long Baseline Interferometry (VLBI) tracking of an in-system spacecraft temporally close to an occultation. We demonstrate the potential of using VLBI to enhance the science return of stellar occultations for satellite ephemerides.Methods.We identified the most promising observation and tracking opportunities offered by the Juno spacecraft around Jupiter as perfect test cases, for which we ran simulations of our VLBI experiment.Results.VLBI tracking at Juno’s perijove close to a stellar occultation locally (in time) reduces the uncertainty in Jupiter’s angular position in the sky to 250–400 m. This represents up to an order of magnitude improvement with respect to current solutions and is lower than the stellar occultation error, thus allowing the moon ephemeris solution to fully benefit from the observation.Conclusions.Our simulations showed that the proposed tracking and observation experiment can efficiently use synergies between ground- and space-based observations to enhance the science return on both ends. The reduced error budget for stellar occultations indeed helps to improve the moons’ ephemerides, which in turn benefit planetary missions and their science products, such as the recently launched JUICE and upcoming Europa Clipper missions.
Foreign languages in advertising: Theoretical implications for language-related IB research
Authors: Hornikx Jos , van Meurs Frank , Tenzer Helene 
Published: July 2023

AbstractGiven the multilingual nature of global business, language influences international business (IB) in almost all areas. IB scholars have studied the complex influence of language with manifold theoretical lenses, but have not systematically integrated linguistic theories. Aiming to broaden IB’s theoretical repertoire, we draw on a field that has integrated a rich array of linguistic theories with business perspectives: research on foreign languages in advertising. We review the theories linguists and advertising scholars have applied to their joint topic and apply content analysis to organize them in three theory clusters: ‘language as a symbol’, ‘language in the mind’, and ‘language as means of accommodation’. These theoretical lenses provide novel insights into the meanings and mechanisms of language, which open new avenues to scrutinize the role of language in IB. For example, theories on language as a symbol may add new perspectives to research on foreignness in IB or to emerging markets research. Theories on language in the mind can explain hurdles to the strategic use of language in foreign locations and support a more sophisticated view of translation in IB. Theories on language as a means of accommodation can advance research on cross-border legitimacy and on countercultural practices in IB.
Periodic decomposition picture for high-order harmonic generation in lattices with disordered dipoles
Authors: Zeng Ai-Wu , Bian Xue-Bin 
Published: July 2023

Abstract
High-order harmonic generation (HHG) in disordered condensed matter is receiving increasing attention. Meanwhile, the mechanisms of numerous ultrafast phenomena remain unknown. On the one hand, the random variables increase the difficulty of modeling and calculations. On the other hand, the complexity introduced by the disorder severely restricts the analysis of electron dynamics and underlying mechanisms. Here we establish an analytical model on the lattice representation (or the Wannier basis) in the valance and conduction bands. The original and explicit form to describe interband transitions is obtained in periodic crystals. By introducing the disorder-to-periodicity decomposition (DPD) picture, this method can be extended to certain random and disordered lattices. The DPD approximation supported by the numerical result suggests a disorder-uncorrelation perspective for the ultrafast electron dynamics driven by the laser field.
Optimizing pre-carbonization temperature of sesame residue for hierarchical porous carbon materials in high-performance supercapacitor applications
Authors: Sun Tao , Yuan Xueqing , Liu Yuling , Ding Yigang , Fan Baoming , Liu Dong 
Published: July 2023

Abstract
In this paper, the sesame residue, a common biomass waste, was used as a precursor to synthesize N,O co-doped porous carbon materials via a simple pre-carbonization and KNO3 activation two-step strategy. The apparent morphology and supercapacitor performance of the obtained materials can be regulated by changing the pre-carbonization temperature (0 °C, 300 °C and 600 °C). The consequences demonstrate that a large number of C−C and C−O bonds in sesame residue undergo cleavage and form abundant pore structure at the pre-carbonization temperature of 300 °C. After KNO3 activation, the material has a moderate specific surface area (1073.4 m2 g−1) and affluent heteroatom content (N: 7.52 at%, O: 17.65 at%). As a result, the SS-300 electrode displays exceptional capacitive performance (specific capacitance up to 312.7 F g−1 at 0.5 A g−1) and outstanding cyclic stability (capacitance retention reaching 98.3% at 10 A g−1 after 8000 charge–discharge cycles). Moreover, the symmetric supercapacitor assembled by SS-300 exhibits high energy densities in both 6 M KOH (4.58 Wh kg−1) and 1 M Na2SO4 (15.60 Wh kg−1), highlighting the potential of this material for energy storage applications.
Application of microneedles combined with dendritic cell-targeted nanovaccine delivery system in percutaneous immunotherapy for triple-negative breast cancer
Authors: Weng Jiaqi , Yang Jing , Wang Weiwei , Wen Jiaoli , Fang Min , Zheng Gensuo , Xie Jing , Zheng Xi , Feng Lili , Yan Qinying 
Published: July 2023

Abstract
This work aims at developing a strategy to activate the antigen-presenting cells to enhance the effect of immunotherapy in triple-negative breast cancer (TNBC) through the dissolving microneedle patch (DMNP). In present study, mannosylated chitosan (MCS) nanoparticles (NPs) were designed to target dendritic cells (DCs), and the immunotherapy effect was enhanced by the adjuvant Bacillus Calmette–Guerin polysaccharide (BCG-PSN), achieving the purpose of transdermal immunotherapy for TNBC. Vaccination studies with mice demonstrated that MCS NPs effectively induce DCs maturation in the tumor-draining lymph nodes to stimulate strong immune responses in TNBC. Overall, chitosan-based DMNPs with complex adjuvant constituted a new potent transdermal vaccine delivery platform capable of exploiting more DCs in the skin for effective immunization.
Superior piezoelectric performance of chemically synthesized transition metal dichalcogenide heterostructures for self-powered flexible piezoelectric nanogenerator
Authors: Bhattacharya Didhiti , Mukherjee Shubhrasish , Mitra Rajib Kumar , Ray Samit Kumar 
Published: July 2023

Abstract
In addition to the superior electrical and optoelectronic attributes, ultrathin two-dimensional transition metal dichalcogenides (TMDCs) have evoked appreciable attention for their piezoelectric properties. In this study, we report, the piezoelectric characteristics of large area, chemically exfoliated TMDCs and their heterostructures for the first time, as verified by piezoelectric force microscopy measurements. Piezoelectric output voltage response of the MoS2-WSe2 heterostructure piezoelectric nanogenerator (PENG) is enhanced by ∼47.5% if compared with WSe2 and ∼29% if compared to MoS2 PENG, attributed to large band offset induced by heterojunction formation. This allows the scalable fabrication of self-powered energy harvesting PENGs, which can overcome the various shortcomings of complicated synthesis processes, complex fabrication steps, low yield, and poor stability. The fabricated flexible, self-powered MoS2-WSe2 heterostructure nanogenerator exhibits piezoelectric output ∼46 mV under a strain of ∼0.66% yielding a power output ∼12.3 nW, which offers better performance than other two-dimensional material based piezoelectric devices and also reveals the ability of bio-mechanical energy harvesting. This cost effective approach to fabricate eco-friendly MoS
2
-WSe
2
based fatigue free, superior performance piezoelectric-nanogenerators can be utilized to evolve flexible energy harvesting devices and may also be attractive as a self-powered, smart wearable sensor devices.
Spectral instability of small-amplitude periodic waves of the electronic Euler–Poisson system
Authors: Noble Pascal , Miguel Rodrigues Luis , Sun Changzhen 
Published: July 2023

Abstract
The present work shows that essentially all small-amplitude periodic traveling waves of the electronic Euler–Poisson system are spectrally unstable. This instability is neither modulational nor co-periodic, and thus requires an unusual spectral analysis and, beyond specific computations, newly devised arguments. The growth rate with respect to the amplitude of the background waves is also provided when the instability occurs.
Data-driven modal analysis of nonlinear quantities in turbulent plasmas using multi-field singular value decomposition
Authors: Yatomi Go , Nakata Motoki , Sasaki Makoto 
Published: July 2023

Abstract
Nonlinear dynamics in the two-dimensional multi-component plasma turbulence described by the Hasegawa–Wakatani equation is investigated by using a data-driven modal analysis with the singular value decomposition (SVD). The conventional SVD is extended to ‘multi-field SVD’ which can decompose multiple turbulence fields simultaneously by a single set of orthonormal basis functions without imposing a priori scale separations. Then, in addition to the mode amplitude labeled by the singular value, the information on the phase relations in the nonlinear quantities such as a transport flux or a triad energy transfer is extracted in the mode space. Through applications to the two-dimensional plasma turbulence, it is revealed that the multi-field SVD can extract the dominant spatial structures for the turbulent transport and the nonlinear energy transfer, preserving the multi-scale nature of the original turbulent fields. It is also demonstrated that one can reduce the dimensionality or information using the multi-field SVD through comparisons with the conventional Fourier decomposition.
BCS–BEC crossover in a quasi-two-dimensional Fermi superfluid
Authors: Zhou Jing , Shi Tingting , Liu Xia-Ji , Hu Hui , Zhang Wei 
Published: July 2023

Abstract
We study the crossover from the Bardeen–Cooper–Shrieffer regime to the Bose–Einstein-condensation regime in an anisotropic trapped quantum gas of ultracold fermionic atoms. Using an effective two-dimensional Hamiltonian with renormalized interactions between atoms and dressed molecules, we extend the Gaussian pair fluctuation theory to quasi-two-dimensional systems. The equation of state, pair size and sound velocity as well as the convexity parameters of the Goldstone mode are investigated to show how Fermi superfluidity is affected by reduced dimensionality and Gaussian fluctuations at zero temperature in a wide range of crossover. We compare our results with the recent experiment of

6

L
i

atomic gases and find good agreements.
A Study of Twelve Potential Merger Candidate Contact Binary Systems
Authors: Wadhwa Surjit S. , Arbutina Bojan , Tothill Nick F. H. , Filipović Miroslav D. , De Horta Ain Y. , Petrović Jelena , Djurašević Gojko 
Published: July 2023

Abstract
Photometric observations and analysis of twelve previously poorly studied contact binary systems is presented. All show total eclipses and have extremely low mass ratios ranging from 0.072 to 0.15. Also, all show characteristics of orbital instability with mass ratios within the theoretical orbital instability range. Although none demonstrate a significant O’Connell effect at least nine of the systems have other indicators of increased chromospheric and magnetic activity.
Rubin Observatory LSST Stars Milky Way and Local Volume Star Clusters Roadmap
Authors: Usher Christopher , Dage Kristen C. , Girardi Léo , Barmby Pauline , Bonatto Charles J. , Chies-Santos Ana L. , Clarkson William I. , Camus Matias Gómez , Hartmann Eduardo A. , Ferguson Annette M. N. , Pieres Adriano , Prisinzano Loredana , Rhode Katherine L. , Rich R. Michael , Ripepi Vincenzo , Santiago Basilio , Stassun Keivan G. , Street R. A. , Szabó Róbert , Venuti Laura , Zaggia Simone , Canossa Marco , Floriano Pedro , Lopes Pedro , Miranda Nicole L. , Oliveira Raphael A. P. , Reina-Campos Marta , Roman-Lopes A. , Sobeck Jennifer 
Published: July 2023

Abstract
The Vera C. Rubin Observatory will undertake the Legacy Survey of Space and Time, providing an unprecedented, volume-limited catalog of star clusters in the Southern Sky, including Galactic and extragalactic star clusters. The Star Clusters subgroup of the Stars, Milky Way and Local Volume Working Group has identified key areas where Rubin Observatory will enable significant progress in star cluster research. This roadmap represents our science cases and preparation for studies of all kinds of star clusters from the Milky Way out to distances of tens of megaparsecs.