bluuebunny/crossref_metadata_2025_split huggingface dataset:
A macrocyclic peptide inhibitor traps MRP1 in a catalytically incompetent conformation
Authors: Pietz Harlan L. , Abbas Ata , Johnson Zachary Lee , Oldham Michael L. , Suga Hiroaki , Chen Jue 
Published: March 2023

Adenosine triphosphate-binding cassette (ABC) transporters, such as multidrug resistance protein 1 (MRP1), protect against cellular toxicity by exporting xenobiotic compounds across the plasma membrane. However, constitutive MRP1 function hinders drug delivery across the blood–brain barrier, and MRP1 overexpression in certain cancers leads to acquired multidrug resistance and chemotherapy failure. Small-molecule inhibitors have the potential to block substrate transport, but few show specificity for MRP1. Here we identify a macrocyclic peptide, named CPI1, which inhibits MRP1 with nanomolar potency but shows minimal inhibition of a related multidrug transporter P-glycoprotein. A cryoelectron microscopy (cryo-EM) structure at 3.27 Å resolution shows that CPI1 binds MRP1 at the same location as the physiological substrate leukotriene C4 (LTC
4
). Residues that interact with both ligands contain large, flexible sidechains that can form a variety of interactions, revealing how MRP1 recognizes multiple structurally unrelated molecules. CPI1 binding prevents the conformational changes necessary for adenosine triphosphate (ATP) hydrolysis and substrate transport, suggesting it may have potential as a therapeutic candidate.
The anatomy of Chinese Superlative Modifiers
Authors: Chen Yi-Hsun 
Published: March 2023

Abstract
This paper studies the morpho-semantics of a particular class of scalar focus adverbs called Superlative Modifiers
(SMs). One key feature of these scalar focus adverbs is that they bear degree morphology, along with gradable adjectives involved.
Most analyses of SMs in the market do not take into consideration the semantic contributions of their morphology. However, the
cross-linguistic facts strongly suggest that the morphological makeup of SMs cannot simply be a linguistic coincidence. Thus, SMs
have posed a long-standing and intriguing morpho-semantic puzzle: Why do SMs morphologically involve a quantity adjective
(Q-adjective) and the superlative morpheme? What is the role of Q-adjectives and the superlative morpheme inside SMs? How are
these morphological pieces of SMs connected with their semantics? This paper is dedicated to these questions by focusing on two
expressions of Mandarin SMs, zui-duo and zui-shao (which morphologically consist of only the
superlative morpheme zui and a quantity adjective duo ‘many/much’ or shao
‘few/little’), and presents a decompositional analysis of both expressions as modified superlatives.
If the proposed analysis is on the right track, it shows that insights and tools developed in studies on
gradability (Kennedy 1999) can be applied to those on scalarity. Recently, Greenberg
(2016; 2017) has argued for a
gradability-based semantics of English even. This paper contributes to this growing research agenda, through a
detailed case study of SMs, a class of scalar focus adverbs but bearing degree morphology and gradable adjectives. Moreover, this
paper also deepens our understanding of the semantics of Q-adjectives. By studying SMs, this paper shows that the measured domain
of Q-adjectives need not be structured by the part-of relation, but rather the natural ordering on the relevant domain. Crucially,
this updated view on Wellwood’s (2014; 2015)
semantics of Q-adjectives leads us to their differential uses and ultimately a unified account of Q-adjectives.
Gser-Rdo
Authors: Sun Jackson T.-S. 
Published: March 2023

AbstractGserskad and Rdoskad are two recently uncovered Tibetic dialect chains spoken on the northern border of Rngaba (Aba) and Dkarmdzes (Ganzi) Prefectures in northwestern Sichuan. Despite their many points of difference and only partial intelligibility, Gserskad and Rdoskad show a special affinity to each other, as suggested inSun (2006). The further idiosyncratic common lexical, phonological, and particularly morphological evidence highlighted in this article vindicate the close ties shared by Gserskad and Rdoskad as a distinct Tibetic language on a par with Amdo.
Neural blind deconvolution with Poisson data
Authors: Benfenati A , Catozzi A , Ruggiero V 
Published: March 2023

Abstract
Blind Deconvolution problem is a challenging task in several scientific imaging domains, such as Microscopy, Medicine and Astronomy. The Point Spread Function inducing the blur effect on the acquired image can be solely approximately known, or just a mathematical model may be available. Blind deconvolution aims to reconstruct the image when only the recorded data is available. In the last years, among the standard variational approaches, Deep Learning techniques have gained interest thanks to their impressive performances. The Deep Image Prior framework has been employed for solving this task, giving rise to the so-called neural blind deconvolution (NBD), where the unknown blur and image are estimated via two different neural networks. In this paper, we consider microscopy images, where the predominant noise is of Poisson type, hence signal-dependent: this leads to consider the generalized Kullback–Leibler as loss function and to couple it with regularization terms on both the blur operator and on the image. Furthermore, we propose to modify the standard NBD formulation problem, by including for the blur kernel an upper bound which depends on the optical instrument. A numerical solution is obtained by an alternating Proximal Gradient Descent-Ascent procedure, which results in the Double Deep Image Prior for Poisson noise algorithm. We evaluate the proposed strategy on both synthetic and real-world images, achieving promising results and proving that the correct choice of the loss and regularization functions strongly depends on the application at hand.
A Gaussian process guided super resolution sampling strategy for the efficient recovery of complex surfaces
Authors: Sun Lijian , Zhang Wenguang , Ren Jieji , Xu Xiaogang 
Published: March 2023

Abstract
Accurate recovery of complex surfaces of manufactured artefacts frequently requires intensive sampling, resulting in inefficient measurements for some point-by-point probe instruments. To tackle this problem, we fully exploit Gaussian process (GP) to guide the super resolution (SR) model to perform efficient and accurate sampling. The model makes use of a kernel-based GP method to model these low-frequency geometric features, while a pretrained SR method with multiple residual attention blocks is used to focus on the high-frequency features and further improve the details of the surface. In addition to geometric errors and distance information, global uncertainty from the statistical properties of the GP and an additional feature error from the SR are combined as critical criteria to select the most informative points of the surface. The effectiveness of the proposed method was demonstrated through several experiments on synthetic and real-world data, showing that the proposed method achieves state-of-the-art performance for pointwise measurements.
Directional emission of nanoscale chiral sources modified by gap plasmons
Authors: Lin Hai , Wen Te , Tang Jinglin , Ye Lulu , Zhang Guanyu , Zhang Weidong , Gu Ying , Gong Qihuang , Lu Guowei 
Published: March 2023

Abstract
Efficient manipulation of the emission direction of a chiral nanoscale light source is significant for information transmission and on-chip information processing. Here, we propose a scheme to control the directionality of nanoscale chiral light sources based on gap plasmons. The gap plasmon mode formed by a gold nanorod and a silver nanowire realizes the highly directional emission of chiral light sources. Based on the optical spin-locked light propagation, the hybrid structure enables the directional coupling of chiral emission to achieve a contrast ratio of 99.5%. The emission direction can be manipulated by tailoring the configuration of the structure, such as the positions, aspect ratios, and orientation of the nanorod. Besides, a great local field enhancement exists for highly enhanced emission rates within the nanogap. This chiral nanoscale light source manipulation scheme provides a way for chiral valleytronics and integrated photonics.
Towards a biomechanical breast model to simulate and investigate breast compression and its effects in mammography and tomosynthesis
Authors: Hertel Madeleine , Makvandi Resam , Kappler Steffen , Nanke Ralf , Bildhauer Petra , Saalfeld Sylvia , Radicke Marcus , Juhre Daniel , Rose Georg 
Published: March 2023

Abstract

Objective. In mammography, breast compression forms an essential part of the examination and is achieved by lowering a compression paddle on the breast. Compression force is mainly used as parameter to estimate the degree of compression. As the force does not consider variations of breast size or tissue composition, over- and undercompression are a frequent result. This causes a highly varying perception of discomfort or even pain in the case of overcompression during the procedure. To develop a holistic, patient specific workflow, as a first step, breast compression needs to be thoroughly understood. The aim is to develop a biomechanical finite element breast model that accurately replicates breast compression in mammography and tomosynthesis and allows in-depth investigation. The current work focuses thereby, as a first step, to replicate especially the correct breast thickness under compression. Approach. A dedicated method for acquiring ground truth data of uncompressed and compressed breasts within magnetic resonance (MR) imaging is introduced and transferred to the compression within x-ray mammography. Additionally, we created a simulation framework where individual breast models were generated based on MR images. Main results. By fitting the finite element model to the results of the ground truth images, a universal set of material parameters for fat and fibroglandular tissue could be determined. Overall, the breast models showed high agreement in compression thickness with a deviation of less than ten percent from the ground truth. Significance. The introduced breast models show a huge potential for a better understanding of the breast compression process.
Divertor power spreading in the Divertor Tokamak Test facility for a full power scenario with Ar and Ne seeding
Authors: Ivanova-Stanik I , Chmielewski P , Day Ch , Innocente P , Zagórski R 
Published: March 2023

Abstract
This work describes integrated numerical modelling applied to Divertor Tokamak Test (DTT) scenarios with tungsten wall and divertor in single null configuration using the COREDIV code, which self-consistently solves 1D radial transport equations of plasma and impurities in the core region and 2D multi-fluid transport in the scrape-off layer (SOL). COREDIV code simulations have been performed and compared to the already published solutions from JETTO for DTT full power discharges with Ar seeding. The influence of the particle transport on the fuelling and flux to the plate is analysed. The main conclusion from the performed simulations is that Ne and Ar radiate effectively in the SOL and no difference was found in the fuelling properties between them. The fuelling increases with increase in radial transport in the core region. It has been found that the rise in the diffusion in the core plasma has a small influence on several global plasma parameters, such as plasma radiation, impurity concentration and fluxes to the divertor plate, but has a strong effect on the fuelling. The fuelling and deuterium flux to the plate decrease almost linearly with decreasing plasma density, keeping

⟨

n

e

⟩

/

n

e

s
e
p

= constant.
Effective implementation of nonadiabatic geometric quantum gates of cat-state qubits using an auxiliary qutrit
Authors: Kang Yi-Hao , Xiao Yang , Shi Zhi-Cheng , Wang Yu , Yang Jian-Qun , Song Jie , Xia Yan 
Published: March 2023

Abstract
We propose an effective protocol for the implementation of nonadiabatic geometric quantum gates of cat-state qubits in Kerr-nonlinear resonators driven by two-photon squeezing drives. Coupling the Kerr-nonlinear resonators with an auxiliary qutrit with proper coupling strengths, the selective transition of the auxiliary qutrit is realized. The selective transition can be exploited in the implementation of a set of useful quantum gates, including the phase gates, the NOT gates, the controlled-phase gates, the controlled NOT gates, and the Toffoli gates. Numerical simulations show the implementations of different types of gates are robust against systematic errors, random noise, and decoherence. Therefore, the protocol may be helpful for robust and scalable quantum computation based on cat-state qubits.
Ultralow lattice thermal conductivity, negative thermal expansion, elastic and thermoelectric properties of Lanthanum Nitride: Insights from first-principle calculations
Authors: Ray Banik Rati , Ghosh Swarup , Chowdhury Joydeep 
Published: March 2023

Abstract
Ultralow lattice thermal conductivity, negative thermal expansion and thermoelectric properties for the face centered cubic phase of lanthanum nitride (LaN) have been explored for the first time from first-principle density functional theory and ab-initio molecular dynamics calculations. The elastic constants, phonon dispersion relations, mode Grüneisen parameter, phonon group velocity and phonon-phonon scattering rates have been studied to unveil the ultralow lattice thermal conductivity (

κ

l

= 1.08 Wm−1K−1) of the compound at room temperature (T = 300 K). The negative thermal expansion of LaN has been estimated from the mode Grüneisen parameter. The electronic band structure, hole-electron effective masses and the thermoelectric properties including the Seebeck coefficient, electrical conductivity, electronic thermal conductivity and thermoelectric power factor have been investigated to estimate the high thermoelectric figure of merit (ZT ∼ 0.98) of the system at room temperature. We believe that the present study will help to unfold LaN for its applications in thermoelectric power generators, fibre-optic communications, fuel cells and in clean and global energy conservation.
A hemispherical helical water antenna array for directional high-gain radiation
Authors: Yang Yuejie , Yang Helin , Li Shangru , Wu Jiong , Cheng Houyuan , Li Yujun 
Published: March 2023

Abstract
This letter proposed a water antenna with a novel shape of a hemispherical helix made of pure water. A plastic water pipe is bent into a hemispherical helix and filled with water to form the helical arm of the antenna. The water arm acts as a director, which enables the antenna to obtain wide-angle radiation characteristic in the axial direction with a beam width of 95.5°. The impedance bandwidth of the antenna (S11 < −10 dB) is 1.30–1.89 GHz. Based on this antenna, a four-element antenna array is also designed. A quasi-Butler matrix is used to feed this antenna array to achieve a reconfigurable pattern. The antenna array can achieve directional high-gain radiation in five directions, covering a total range of 66°. The maximum gain of the array in the effective frequency band can reach 13.8 dBi.
A charged particle driven by an electromagnetic wave in crossed electric and magnetic fields
Authors: Shaar Yahya N , Rizcallah Joseph A , Karnilovich Sergey P 
Published: March 2023

Abstract
We investigate the motion of a charged particle in the field of a plane electromagnetic wave propagating perpendicular to a static crossed configuration of uniform electric and magnetic fields. The relativistic equations of motion are stated and integrated in a special case taking advantage of the existence of a constant of motion. The obtained solutions are analyzed for various polarizations of the electromagnetic wave.
Research on new ceramic debinding technology with low energy consumption via dielectric barrier discharge
Authors: Huang Yimeng , Liu Yong , Yan Nianping , Zhao Xuetong , Zhao Xinhao , Li Yueji , Wang Xilin , Jia Zhidong 
Published: March 2023

Abstract
To combat the issue of global warming, we must conserve energy and reduce carbon emissions from energy production and use. Industrial process electrification can greatly save energy and minimize carbon emissions. The energy consumption of debinding and drying in the ceramic industry accounts for about 20%. The conventional thermal debinding method is energy-intensive and time-consuming. It is critical to develop green debinding techniques that are energy-efficient and environmentally friendly. Based on the dielectric barrier discharge measurements, the impacts of various voltages(Upp 16–22 kV), frequencies(9–12 kHz), air gap widths(0–3 mm), and treatment time(0–60 min) on the debinding efficiency are investigated in this work for the ZnO ceramic system. Dielectric barrier discharge debinding time and energy consumption per unit volume of sample can be reduced to 5% and 10% of conventional debinding, respectively, which is a potential method to realize electrical energy replacement in the ceramic debinding process.
Uncertainties in measuring the dark matter signal from Milky Way satellites using Cherenkov telescopes
Authors: Kherlakian Maria , Viana Aion , de Souza Vitor 
Published: March 2023

Abstract
In this work, we present a modelling of the galactic sub-clumps based on statistical estimations of the full Milky Way satellite population. We introduce 10 substructure modellings (SM
i
, i ∈ {1, … , 10}) with the following varying parameters: a) subhalos inner profile, b) spatial distribution of subhalos, c) mass distribution of subhalos, d) total number of subhalos and e) concentration parameter. The sensitivity curves of CTA for sources in each model are calculated for the τ
+
τ
- and bb̅ decay channels. With both detection of a signal (5σ) with the CTA and no signal observation, no model was effective in accessing the thermal values of 〈σv〉. We analyse the systematic effect introduced by the substructures models.
Near-future discovery of point sources of ultra-high-energy neutrinos
Authors: Fiorillo Damiano F.G. , Bustamante Mauricio , Valera Victor B. 
Published: March 2023

Abstract
Upcoming neutrino telescopes may discover ultra-high-energy (UHE) cosmic neutrinos, with
energies beyond 100 PeV, in the next 10–20 years. Finding their sources would identify
guaranteed sites of interaction of UHE cosmic rays, whose origin is unknown. We search for
sources by looking for multiplets of UHE neutrinos arriving from similar directions. Our
forecasts are state-of-the-art, geared at neutrino radio-detection in IceCube-Gen2. They account
for detector energy and angular response, and for critical, but uncertain backgrounds. Sources at
declination of -45° to 0° will be easiest to discover. Discovering even one
steady-state source in 10 years would imply that the source has an UHE neutrino luminosity at
least larger than about 1043 erg/s (depending on the source redshift evolution). Discovering
no transient source would disfavor transient sources brighter than 1053 erg as dominant. Our
results aim to inform the design of upcoming detectors.
Transfer function approach to understanding periodic forcing of signal transduction networks
Authors: Tran Nguyen H N , Clayton Andrew H A 
Published: March 2023

Abstract
Signal transduction networks are responsible for transferring biochemical signals from the extracellular to the intracellular environment. Understanding the dynamics of these networks helps understand their biological processes. Signals are often delivered in pulses and oscillations. Therefore, understanding the dynamics of these networks under pulsatile and periodic stimuli is useful. One tool to do this is the transfer function. This tutorial outlines the basic theory behind the transfer function approach and walks through some examples of simple signal transduction networks.
Bringing Stellar Evolution and Feedback Together: Summary of Proposals from the Lorentz Center Workshop
Authors: Geen Sam , Agrawal Poojan , Crowther Paul A. , Keller B. W. , de Koter Alex , Keszthelyi Zsolt , van de Voort Freeke , Ali Ahmad A. , Backs Frank , Bonne Lars , Brugaletta Vittoria , Derkink Annelotte , Ekström Sylvia , Fichtner Yvonne A. , Grassitelli Luca , Götberg Ylva , Higgins Erin R. , Laplace Eva , You Liow Kong , Lorenzo Marta , McLeod Anna F. , Meynet Georges , Newsome Megan , André Oliva G. , Ramachandran Varsha , Rey Martin P. , Rieder Steven , Romano-Díaz Emilio , Sabhahit Gautham , Sander Andreas A. C. , Sarwar Rafia , Stinshoff Hanno , Stoop Mitchel , Szécsi Dorottya , Trebitsch Maxime , Vink Jorick S. , Winch Ethan 
Published: March 2023

Abstract
Stars strongly impact their environment, and shape structures on all scales throughout the universe, in a process known as “feedback.” Due to the complexity of both stellar evolution and the physics of larger astrophysical structures, there remain many unanswered questions about how feedback operates and what we can learn about stars by studying their imprint on the wider universe. In this white paper, we summarize discussions from the Lorentz Center meeting “Bringing Stellar Evolution and Feedback Together” in 2022 April and identify key areas where further dialog can bring about radical changes in how we view the relationship between stars and the universe they live in.
Entropies of the various components of the universe*
Authors: Yu Hao , Liu Yu-Xiao , Li Jin 
Published: March 2023

Abstract
In this study, we investigate the entropies of photons, ideal gas-like dust (baryonic matter), and a special kind of dark energy in the context of cosmology. When these components expand freely with the universe, we calculate the entropy and specific entropy of each component from the perspective of statistics. Under specific assumptions and conditions, the entropies of these components can satisfy the second law of thermodynamics independently. Our calculations show that the specific entropy of matter cannot be a constant during the expansion of the universe, except for photons. When these components interact with the space-time background, particle production (annihilation) can occur. We study the influence of the interaction on the entropies of these components and obtain the conditions guaranteeing that the entropy of each component satisfies the second law of thermodynamics.
An Improved Pair Method to Probe the Dust Extinction Law
Authors: Wang Yuxi , Gao Jian , Ren Yi , Li Jun 
Published: March 2023

Abstract
Dust extinction law is crucial to recover the intrinsic energy distribution of celestial objects and infer the characteristics of interstellar dust. Based on the traditional pair method, an improved pair method is proposed to model the dust extinguished spectral energy distribution (SED) of an individual star. Instead of the mathematically parameterizing extinction curves, the extinction curves in this work are directly from the silicate-graphite dust model, so that the dust extinction law can be obtained and the dust properties can be analyzed simultaneously. The ATLAS9 stellar model atmosphere is adopted for the intrinsic SEDs in this work, while the silicate-graphite dust model with a dust size distribution of

dn

/

da
∼

a

−
α

exp
(
−
a

/

a

c

)
,

0.005
<
a
<
5

μ
m

for each component is adopted for the model extinction curves. One typical extinction tracer in the dense region (V410 Anon9) and one in the diffuse region (Cyg OB2 #12) of the Milky Way are chosen to test the reliability and the practicability of the improved pair method in different stellar environments. The results are consistent with their interstellar environments and are in agreement with the previous observations and studies, which prove that the improved pair method is effective and applicable in different stellar environments. In addition to the reliable extinction results, the derived parameters in the dust model can be used to analyze the dust properties, which cannot be achieved by other methods with the mathematical extinction models. With the improved pair method, the stellar parameters can also be inferred and the extinction law beyond the wavelengths of observed data can be predicted based on the dust model as well.