bluuebunny/crossref_metadata_2025_split huggingface dataset:
A remark on the component group of the Sato–Tate group
Authors: Banaszak Grzegorz , Farfán Victoria Cantoral 
Published: December 2024

AbstractIn this paper we give a complete characterization of the component group of the Sato–Tate group of an abelian variety A of arbitrary dimension, defined over a number field K, in terms of the connectedness of the Lefschetz group associated to A.
Influence of sulfonic acid doping during polypyrrole electrodeposition on the corrosion protection for AA2024-T3
Authors: Lin Mao-Chia , Wei Zhen , Wang Ruigang , Zhang Xinyu 
Published: December 2024

AbstractThe electrodeposition of polypyrrole on AA2024-T3 was prepared by applying a constant potential via three different dopants including sulfuric acid (SA), p-toluenesulfonic acid (pTSA), and 2-naphthalenesulfonic acid (2NS). The polypyrrole coating was characterized by scanning electron microscopy (SEM) and Fourier-transform infrared spectroscopy (FTIR). The anti-corrosion behavior was examined by Tafel curves to find the optimized concentration and deposition time for each dopant. Polypyrrole was successfully electrodeposited on AA2024-T3 with pTSA and 2NS dopants, which exhibited better corrosion protection compared with bare AA2024-T3. In addition, a conventional coating was applied with spray paint considered as a topcoat to further investigate the protection efficiency of the polypyrrole. The 2NS-doped polypyrrole exhibited a good protection efficiency of 99.99%. The results demonstrated that the chemical structure of the dopant influences the corrosion protection where the corrosion potential has positively increased with the extended electrodeposition time. Topcoat with spray paint working as a surface barrier can protect the polypyrrole coating and enlarge the protection time.
A local-global principle for unipotent characters
Authors: Rossi Damiano 
Published: December 2024

Abstract
We obtain an adaptation of Dade’s Conjecture and Späth’s Character Triple Conjecture to unipotent characters of simple, simply connected finite reductive groups of type

$\mathbf {A}$

,

$\mathbf {B}$

and

$\mathbf {C}$

. In particular, this gives a precise formula for counting the number of unipotent characters of each defect d in any Brauer

$\ell $

-block B in terms of local invariants associated to e-local structures. This provides a geometric version of the local-global principle in representation theory of finite groups. A key ingredient in our proof is the construction of certain parametrisations of unipotent generalised Harish-Chandra series that are compatible with isomorphisms of character triples.
T-cell diversity and exclusion of blood-derived T-cells in the tumor microenvironment of classical Hodgkin Lymphoma
Authors: Seifert Nicole , Reinke Sarah , Grund Johanna , Müller-Meinhard Berit , Richter Julia , Heilmann Thorsten , Schlößer Hans , Kotrova Michaela , Brüggemann Monika , Borchmann Peter , Bröckelmann Paul J. , Altenbuchinger Michael , Klapper Wolfram 
Published: December 2024

AbstractThe Tumor Microenvironment (TME) in classical Hodgkin Lymphoma (HL) contains abundant immune cells and only few neoplastic Hodgkin and Reed-Sternberg cells (HRSC). We analyzed the T-cell receptor (TCR) repertoire to detect T-cell expansion in the TME and blood. In contrast to solid cancer tissue, T-cells in the TME of HL are highly polyclonal at first diagnosis and show only minor clonal expansion during anti-PD1 immune checkpoint blockade (ICB). At relapse and during ICB, pre-amplified T-cell populations increase in the TME of solid cancers but to a much lesser extent in HL. In contrast, T-cell populations in the peripheral blood of HL patients display higher clonality than healthy controls reaching clonality levels comparable to solid cancer. However, pre-amplified blood T-cells in HL patients show only minor additional clonal expansion during ICB. Moreover, blood-derived T-cells do not repopulate the TME of HL to the same extent as observed in solid cancers. Thus, the T-cell repertoire in the TME of HL appears unique by a relatively low clonal T-cell content and the exclusion of clonally expanded T-cells from the peripheral blood. Exclusion of clonally expanded tumor-specific T-cells from the TME may present a novel mechanism of immune evasion in HL.
A nuclear protein quality control system for elimination of nucleolus-related inclusions
Authors: Brunello Lorène , Polanowska Jolanta , Le Tareau Léo , Maghames Chantal , Georget Virginie , Guette Charlotte , Chaoui Karima , Balor Stéphanie , O’Donohue Marie-Françoise , Bousquet Marie-Pierre , Gleizes Pierre-Emmanuel , Xirodimas Dimitris P 
Published: December 2024

Abstract
The identification of pathways that control elimination of protein inclusions is essential to understand the cellular response to proteotoxicity, particularly in the nuclear compartment, for which our knowledge is limited. We report that stress-induced nuclear inclusions related to the nucleolus are eliminated upon stress alleviation during the recovery period. This process is independent of autophagy/lysosome and CRM1-mediated nuclear export pathways, but strictly depends on the ubiquitin-activating E1 enzyme, UBA1, and on nuclear proteasomes that are recruited into the formed inclusions. UBA1 activity is essential only for the recovery process but dispensable for nuclear inclusion formation. Furthermore, the E3 ligase HUWE1 and HSP70 are components of the ubiquitin/chaperone systems that promote inclusion elimination. The recovery process also requires RNA Pol I-dependent production of the lncRNA IGS42 during stress. IGS42 localises within the formed inclusions and promotes their elimination by preserving the mobility of resident proteins. These findings reveal a protein quality control system that operates within the nucleus for the elimination of stress-induced nucleolus-related inclusions.
Multifunctional luminogens with synergy of aggregation-induced delayed fluorescence, two-photon absorption and photocurrent generation
Authors: Chatterjee Abhijit , Narayanan Sundaravalli , Thorat Sachin , Malik Ajay J. , Ambhore Madan D. , Narayanan Aswini , Sihag Anil Kumar , Santhosh Babu Sukumaran , Lahiri Mayurika , Hazra Partha 
Published: December 2024

This study investigates the aggregation-induced delayed fluorescence (AIDF), two-photon emission and photocurrent generation properties of three newly designed organic luminogens based on triphenyl amine as donor.
Uniformly dispersing Sb2Se3 nanoparticles in porous carbon as an anode material for enhancing sodium storage capacity
Authors: Xie Chuan , Xue Kai , Shen Kuan , Guo Xingmei , Liu Yuanjun , Zheng Xiangjun , Fan Qianqian , Duan Zhongyao , Cao Fu , Zhang Junhao 
Published: December 2024

Sb2Se3 nanoparticles are embedded on carbon matrix to prepare Sb2Se3/C, offering stable sodium storage with 339 mA h g−1 at 0.1 A g−1 after 1000 cycles and a capacity retention of 80%.
Transcriptomic analysis reveals pathways underlying the multi‐antibiotic resistance of Klebsiella pneumoniae
Authors: Liu Ying , Niu Zhihui , Wu Rile , Yang Dezhi , Chen Jun , Liu Guoqing , Zhao Jun 
Published: December 2024

AbstractKlebsiella pneumoniae, an opportunistic pathogen, is pervasively distributed across the world. Its escalating antibiotic resistance poses a serious threat to global public health. The mechanisms behind this resistance remain largely elusive. In this study, we performed antibiotic susceptibility testing on several clinical isolates of Klebsiella pneumoniae, and a reference strain ATCC13883, and then analysed their transcriptomic profiles to identify genes and pathways associated with antibiotic resistance. Our results showed that a clinical isolate DY16KPN may counteract antibiotics by enhancing the biosynthesis of building blocks of bacterial cell, such as fatty acids, proteins, and DNA, and reducing transmembrane transport. Increased butanoate metabolism and lipopolysaccharide biosynthesis may also contribute to the drug‐resistance of Klebsiella pneumoniae. Additionally, we identified resistance‐promoting mutations in gene promoter regions, which regulate the activity of downstream drug‐resistant genes and pathways. Our results also demonstrated that DY16KPN counterbalances the trimethoprim/sulfamethoxazole‐mediated inhibitory effect on the synthesis of tetrahydrofolates and DNA by up‐regulating the expression of targeted enzymes of trimethoprim/sulfamethoxazole, dihydrofolate reductase and dihydropteroate synthase.
Machine learning-driven image synthesis and analysis applications for inertial confinement fusion (invited)
Authors: Wolfe Bradley T. , Chu Pinghan , Nguyen-Fotiadis Nga T. T. , Zhang Xinhua , Alvarado Alvarez Mariana , Wang Zhehui 
Published: December 2024

Recent fusion breakeven [Abu-Shawareb et al., Phys. Rev. Lett. 132, 065102 (2024)] in the National Ignition Facility (NIF) motivates an integrated approach to data analysis from multiple diagnostics. Deep neural networks provide a seamless framework for multi-modal data fusion, automated data analysis, optimization, and uncertainty quantification [Wang et al., arXiv:2401.08390 (2024)]. Here, we summarize different neural network methods for x-ray and neutron imaging data from NIF. To compensate for the small experimental datasets, both model based physics-informed synthetic data generation and deep neural network methods, such as generative adversarial networks, have been successfully implemented to allow a variety of automated workflows in x-ray and neutron image processing. We highlight results in noise emulation, contour analysis for low-mode analysis and asymmetry, denoising, and super-resolution. Further advances in the integrated multi-modal imaging, in sync with experimental validation and uncertainty quantification, will help with the ongoing experimental optimization in NIF, as well as the maturation of alternate inertial confinement fusion (ICF) platforms such as double-shells.
Exploring Sherry Simon’s views on translation through a postmodern lens
Authors: Parham Fatemeh 
Published: December 2024

Abstract
The present study takes a postmodern approach to Sherry Simon’s views on translation, aiming to uncover the extent
to which her ideas in translation studies align with postmodern thought. To this end, the works of prominent postmodern thinkers
including Lyotard, Baudrillard, Derrida, Cixous, Deleuze, Guattari, and Irigaray are examined. Their postmodern claims are listed
and described as scenarios. Then, Simon’s views are compared with these scenarios in quest of commonalities. The results indicate
that Simon’s views on gender are indeed postmodern. Her rejection of the conventional definition of fidelity reflects a postmodern
stance as it rejects rigid binary opposites. Similarly, her rejection of hierarchical structures aligns with postmodern
principles. Furthermore, her advocacy for dismantling absolutes in polarity can also be considered postmodern. Finally, her view
on handling texts in translation to foreground female subjectivity qualifies as a postmodern approach.
Renovation and revision
Authors: Qin Kaiyu , Li Xin 
Published: December 2024

Abstract
The new millennium has witnessed a widening application of Actor-Network Theory (ANT) to the field of Translation
Studies, but the interface of ANT and Museum Translation Studies has so far remained underexplored. This article focuses on the
Shanghai Jewish Refugees Museum as a case study. It attempts to construct the translation-related actor network involved in the
renovation of the museum in 2015 and the subsequent two rounds of revisions the bilingual guide scripts have undergone. It also
explores the bi-directional agential relations enabling the role change of main actors and the general development of the network.
This article argues that translation-related ANT analysis should deem translational relations as neither the center nor the end of
an actor network, and highlights the significance of nonhuman and non-translational actors in explaining the process of
translation production and revision in the context of Museum Studies.
Perceived barriers and enablers middle-aged and older adults experience to adopting ‘sustainable’ diets: A mixed methods systematic review
Authors: Copp Asha , Fu Danxin , Xiao Weiqi , Allman-Farinelli Margaret 
Published: December 2024

Abstract
The adoption of sustainable diets among middle-aged and older adults may lead to both improved health outcomes and lower environmental impact. Understanding the barriers and enablers that influence food choices and dietary patterns in this growing demographic is pivotal to inform the promotion of dietary change. A convergent integrated mixed methods systematic review was conducted using the Joanna Briggs Institute methodology. Four databases (MEDLINE, CINAHL, Scopus and PsychInfo) were searched for studies published from January 2009 to February 2024 that identified the perceptions of participants 45 years and older in high-income countries about sustainable food choices and barriers and enablers to consumption. From 6295 studies, 23 studies were included and critically appraised using the Mixed Methods Appraisal Tool. Findings were integrated in a narrative review. Key enablers included the following: understanding of environmental impacts of food; nutritional benefits of plant products; nutrition knowledge and awareness of the health and environmental concerns around some animal food sources. Key barriers included the following: cost of eating a sustainable diet; preference for taste of animal foods like meat and high accessibility; inconvenience of preparation; concerns around nutritional adequacy of plant foods versus animal foods; sociocultural influences and lack of familiarity about sustainability and diet. These findings provide insight into public perceptions of over 45 year olds and may be used by public health practitioners in education and nutrition promotion efforts to motivate people to overcome barriers, such as lack of knowledge, accessibility and food preparation skills as highlighted by this review. Other forms of research into policy and regulatory functions may be needed to further inform strategies to modify dietary patterns.
Perturbative ensemble density functional theory applied to charge transfer excitations
Authors: Amoyal Gil S , Kronik Leeor , Gould Tim 
Published: December 2024

Abstract
Charge transfer (CT) excitation energies are known to be challenging for standard time-dependent (TD) density functional theory (DFT) calculations. Perturbative ensemble DFT (pEDFT) was suggested as an easy-to-implelemt, low-cost alternative to TDDFT, because it is an in principle exact theory for calculating excitation energies that produces useful valence excitation energies. Here, we examine analytically and numerically (based on the benzene-tetracyanoethylene complex) how well pEDFT performs in the CT limit. We find that pEDFT is qualitatively correct in that it follows the Mulliken limit while being only weakly dependent on the underlying density functional approximation. We observe, however, that quantitatively pEDFT is not as accurate as TDDFT. We attribute this to the emergence of a new type of self-interaction-like term that adversely affects the computation.
A method for detecting small target weld defects based on feature reorganization network
Authors: Yu Xiaoxia , Zhang Yu , Zhou Kangqu 
Published: December 2024

Abstract
Weld defect detection is crucial for ensuring product reliability and safety in industrial manufacturing. Timely detection of small-target weld defects helps identify potential weld quality issues, minimizing losses and risks in the welding process. Existing methods simply concatenate feature segments during the upsampling process without analyzing the importance of each feature segment, leaving room for further improvement in detection accuracy. To address these issues, this study proposes a feature reorganization network for detecting small target weld defects. First, the C2f-Faster-efficient multi-scale attention feature extraction module and ghost-shuffle convolution are designed, and the large selective kernel network is introduced to dynamically adjust the receptive field of the backbone in the Backbone section, enhancing the model’s ability to extract small target features. Then, a lightweight Content-Aware ReAssembly of FEatures upsampling module is designed in the neck network, which retains more detailed information through feature reorganization and feature expansion, and introduces the parameter-free attention mechanism simple parameter-free attention module to fully capture the contextual information of small targets, thereby enhancing the proposed model’s ability to extract small target features. Finally, the generalized intersection over union boundary loss function is used to improve the network’s bounding box regression performance, achieving intelligent detection of small target weld defects. Experimental results show that the proposed method achieves a mean average precision, parameter count, and computation volume of 85.6%, 2.5 M, and 7.0 G, respectively, for weld defect detection, outperforming the comparison models and meeting the requirements of practical engineering applications.
Advanced hybrid algorithm for estimation of circularity deviation in coordinate metrology
Authors: Gsim Jamal , Jalid Abdelilah , Es-Sadek Mohamed Zeriab 
Published: December 2024

Abstract
In the field of precision mechanics such as automobiles or aeronautics, the estimation of defects in the shape of mechanical parts is a very common task, and the declaration of conformity is mainly based on the precision of this value. This research introduces an innovative hybrid optimization methodology that enhances the precision of estimation of circularity defects. The method proposed combines the genetic algorithm (GA) and the interior point method (IPM), this approach overcomes the limitations of traditional methods like least squares and orthogonal distance regression, which rely on initial estimates parameters to ensure convergence. The GA-IPM hybrid eliminates the need for such initial guesses, leading to faster convergence and more accurate results. To control a mechanical part, a cloud of points is preleved by using a coordinate measuring machines, after treatment of those datasets the estimation of circularity defects is calculated using the proposed algorithm GA-IPM. To validate our approach a comparative study is carried out according to the standard ISO 10 360–6, which consists of comparing the results (substitute geometry parameters) obtained with those of National Institute of Standards and Technology considered as reference values. Several examples have been processed, circle totally or partially measured in order to verify the robustness of the algorithm in terms of convergence and calculation precision, the circularity defect is subsequently calculated on the basis of these parameters. The comparison shows that our method estimates the parameters and the circularity defect well without needing a vector of initial estimates parameters. Given the results obtained, this hybrid approach represents a contribution to the estimation of the circularity deviation, thus offering industries a reliable, precise method to ensure the declaration of conformity of mechanical parts.
Path planning for flexible needle based on both insertion mechanism kinematics and needle bending model
Authors: Zhao Yan-Jiang , Zhang He , Du Hai-Yan , Qian Cheng , Jin Ye-Xin , Chen Yin , Yang Guang-Zhe 
Published: December 2024

Abstract

Objective. Due to the limited operating space in the magnetic resonance (MR) environment, there is coupled motion in the insertion mechanism, which not only reduces the flexibility of the robot but also challenges the insertion path planning. Meanwhile, the path planning is also restricted by the bending rule of the flexible needle, thus the bending model of the needle is also essentially built. Approach. This paper proposes a path planner for the flexible needle based on both the coupled motion kinematics of the insertion robot and the bending model of the flexible needle. A kinematic analysis for the coupled motion of insertion robot is performed. And the bending model of flexible needle is established based on the needle-tissue interactions. The position and posture of the needle insertion at the entry point are obtained by the calculation of the target position and the analysis of the bending model. And the rotation or translation coordinates of each robot joint are calculated by the inverse kinematics of the insertion robot. Then the path planning based on the coupled kinematics and the bending model is realized. Main results. The insertion experiments were performed for each target of G
1 and G
2. The root mean square errors were 0.83 mm and 0.74 mm, and the maximum errors were 1.1 mm and 0.9 mm for G
1 and G
2, respectively. The experimental results show that the effectiveness and accuracy of the path planning can meet the requirements for a general minimally invasive surgery (MIS), so the proposed path planning algorithm is feasible. Significance. This study provides a new solution for the path planning of insertion robots for the MIS. This method can meet the insertion mechanism working within the limited operating space in the MR environment and has a high application value in future clinical medicine.
Properties and applications of the Kirkwood–Dirac distribution
Authors: Arvidsson-Shukur David R M , Braasch Jr William F , De Bièvre Stephan , Dressel Justin , Jordan Andrew N , Langrenez Christopher , Lostaglio Matteo , Lundeen Jeff S , Halpern Nicole Yunger 
Published: December 2024

Abstract
There are several mathematical formulations of quantum mechanics. The Schrödinger picture expresses quantum states in terms of wavefunctions over, e.g. position or momentum. Alternatively, phase-space formulations represent states with quasi-probability distributions over, e.g. position and momentum. A quasi-probability distribution resembles a probability distribution but may have negative and non-real entries. The most famous quasi-probability distribution, the Wigner function, has played a pivotal role in the development of a continuous-variable quantum theory that has clear analogues of position and momentum. However, the Wigner function is ill-suited for much modern quantum-information research, which is focused on finite-dimensional systems and general observables. Instead, recent years have seen the Kirkwood–Dirac (KD) distribution come to the forefront as a powerful quasi-probability distribution for analysing quantum mechanics. The KD distribution allows tools from statistics and probability theory to be applied to problems in quantum-information processing. A notable difference to the Wigner function is that the KD distribution can represent a quantum state in terms of arbitrary observables. This paper reviews the KD distribution, in three parts. First, we present definitions and basic properties of the KD distribution and its generalisations. Second, we summarise the KD distribution’s extensive usage in the study or development of measurement disturbance; quantum metrology; weak values; direct measurements of quantum states; quantum thermodynamics; quantum scrambling and out-of-time-ordered correlators; and the foundations of quantum mechanics, including Leggett–Garg inequalities, the consistent-histories interpretation and contextuality. We emphasise connections between operational quantum advantages and negative or non-real KD quasi-probabilities. Third, we delve into the KD distribution’s mathematical structure. We summarise the current knowledge regarding the geometry of KD-positive states (the states for which the KD distribution is a classical probability distribution), describe how to witness and quantify KD non-positivity, and outline relationships between KD non-positivity, coherence and observables’ incompatibility.