bluuebunny/crossref_metadata_2025_split huggingface dataset:
Suppressing the degeneration of quantum resources through coupling auxiliary qubits
Authors: Xing Ling-Ling , Yang Huan , Kong Min , Zhang Gang 
Published: March 2024

Abstract
The nonlocal advantage of quantum coherence (NAQC), quantum coherence (QC), and quantum entanglement are promising quantum resources to achieve various quantum information tasks. However, the decoherence of quantum resource is detrimental to the implementation of quantum information processing, and it brings enormous challenge to the application of quantum resource. Here, consider that Alice and Bob possess a two-qubit X state, and the two-qubit X state is composed of two atoms. Bob’s atom interacts with a reservoir, and Alice's atom is subjected to the influence of amplitude damping channel. We design an effective scheme by coupling auxiliary qubits with reservoir, and this scheme can significantly suppress the dissipation of the NAQC, QC, and quantum entanglement. The results reveal that the NAQC, QC, and quantum entanglement degenerate with the increase of time t in the strong coupling regime or weak coupling regime when absenting auxiliary qubits. If one adds some auxiliary qubits in the reservoir, these quantum resources can be strengthened both in the strong coupling regime and weak coupling regime. Auxiliary qubits can help us effectively resist the dissipation of these quantum resources. In comparison with the QC and quantum entanglement, the NAQC is most fragile and it is most vulnerable to the influences of reservoir and noise channel. One needs introduce more auxiliary qubits to suppress the dissipation of the NAQC, especially in the scenarios of the weak coupling regime and strong channel parameter. In this sense, our investigations may provide a potent technique for restraining decoherence and offer a new platform for quantum resource application.
Gauge preheating with full general relativity
Authors: Adshead Peter , Giblin John T. , Grutkoski Ryn , Weiner Zachary J. 
Published: March 2024

Abstract
We study gauge preheating following pseudoscalar-driven inflation in full general
relativity. We implement the Baumgarte-Shapiro-Shibata-Nakamura (BSSN) scheme to solve the full
nonlinear evolution of the metric alongside the dynamics of the pseudoscalar and gauge fields. The
dynamics of the background and emission of gravitational waves are broadly consistent with
simulations in a Friedmann-Lemaître-Robertson-Walker (FLRW) spacetime. We find large,
localized overdensities in the BSSN simulations of order δ = δρ/ρ ∼ 30, and
the dimensionless power spectrum of δ peaks above unity. These overdense regions are seeded
on length scales only slightly smaller than the horizon, and have a compactness C ∼ 0.1. The
scale of peak compactness is shorter than the Jeans length, which implies that pressure of the
matter fields plays an important role in the evolution of these objects.
Perturbatively including inhomogeneities in axion inflation
Authors: Domcke Valerie , Ema Yohei , Sandner Stefan 
Published: March 2024

Abstract
Axion inflation, i.e. an axion-like inflaton coupled to an Abelian gauge field through a Chern-Simons interaction, comes with a rich and testable phenomenology.
This is particularly true in the strong backreaction regime, where the gauge field production heavily impacts the axion dynamics.
Lattice simulations have recently demonstrated the importance of accounting for inhomogeneities of the axion field in this regime. We propose a perturbative scheme to account for these inhomogeneities while maintaining high computational efficiency.
Our goal is to accurately capture deviations from the homogeneous axion field approximation within the perturbative regime as well as self-consistently determine the onset of the non-perturbative regime.
Curvature-enhanced multipartite coherence in the multiverse*
Authors: Wu 吴 Shu-Min 树民 , Wang 王 Chun-Xu 春旭 , Wang 王 Rui-Di 锐迪 , Li 李 Jin-Xuan 金璇 , Huang 黄 Xiao-Li 晓理 , Zeng 曾 Hao-Sheng 浩生 
Published: March 2024

Abstract
Here, we study the quantum coherence of N-partite Greenberger-Horne-Zeilinger (GHZ) and W states in the multiverse consisting of N causally disconnected de Sitter spaces. Interestingly, N-partite coherence increases monotonically with curvature, whereas the curvature effect destroys quantum entanglement and discord, indicating that the curvature effect is beneficial to quantum coherence and harmful to quantum correlations in the multiverse. We find that with an increase in n expanding de Sitter spaces, the N-partite coherence of the GHZ state increases monotonically for any curvature, whereas the quantum coherence of the W state decreases or increases monotonically depending on the curvature. We find a distribution relationship, which indicates that the correlated coherence of the N-partite W state is equal to the sum of all bipartite correlated coherence in the multiverse. Multipartite coherence exhibits unique properties in the multiverse, suggesting that it may provide some evidence for the existence of the multiverse.
Near MDS and near quantum MDS codes via orthogonal arrays
Authors: Pang Shanqi , Zhang Chaomeng , Chen Mengqian , Zhang Miaomiao 
Published: March 2024

Abstract
Near maximum distance separable (NMDS) codes are closely related to interesting objects in finite geometry and have nice applications in combinatorics and cryptography. But there are many unsolved problems about construction of NMDS codes. In this paper, by using symmetrical orthogonal arrays (OAs), we construct a lot of NMDS, m-MDS and almost extremal NMDS codes. Quantum error-correcting codes (QECCs) play a central role in quantum information processing and can protect quantum information from various quantum noises. We present a general method for constructing QECCs over mixed alphabets through asymmetrical OAs. Since quantum maximum distance separable (QMDS) codes over mixed alphabets with the dimension equal to one have not been found in all the literature so far, the definition of a near QMDS code over mixed alphabets is proposed. By using asymmetrical OAs, we obtain many such codes.
Quantitative detection of rebar corrosion by magnetic memory based on first-principles
Authors: Yang Mao , Zhang Hong , Ma Xiaotao , Zheng Yu , Zhou Jianting 
Published: March 2024

Abstract
Reinforcement corrosion seriously impacts the bearing capacity and durability of reinforced concrete(RC) structures. It is very important to detect reinforcement’s corrosion state in concrete timely and effective. This paper introduced the magnetic memory method to the quantitative detection of reinforcement corrosion. Based onfirst- principles, the causes of material magnetism were explained from the point of view of particles. The microscopic models of reinforcement corrosion were established and the correlation between the absolute value of magnetization M and mass loss rate α had been analyzed. The experiment of magnetic memory testing of the rebar corrosion was carried out, and the magnetic induction curves of the rebars at different mass loss rates were obtained. Finally, the random forest algorithm was used to realize the quantitative recognition of steel corrosion. The results of microscopic models showed that |M| increased nonlinearly with α. The tangential and normal magnetic induction curves obtained by the experiment showed a trend of overall movement and increasing volatility with the increase of α, then four magnetic indexes (I
1xn
, I
1zn
, I
2xn
, I
2zn
) were proposed based on tangential and normal magnetic induction curves to characterize the mass loss rate α. The regularity of I-α curves was consistent with that of |M|-α curves obtained by the microscopic model. The random forest algorithm was introduced to solve the nonlinear and discrete problems of magnetic indexes, and a hierarchical prediction model of rebar corrosion was established. The prediction accuracy of the model was 85.7%, which can realize the state recognition of steel bars under low corrosion degrees.
Observing Schrödinger’s cat with artificial intelligence: emergent classicality from information bottleneck
Authors: Zhang Zhelun , You Yi-Zhuang 
Published: March 2024

Abstract
We train a generative language model on the randomized local measurement data collected from Schrödinger’s cat quantum state. We demonstrate that the classical reality emerges in the language model due to the information bottleneck: although our training data contains the full quantum information about Schrödinger’s cat, a weak language model can only learn to capture the classical reality of the cat from the data. We identify the quantum–classical boundary in terms of both the size of the quantum system and the information processing power of the classical intelligent agent, which indicates that a stronger agent can realize more quantum nature in the environmental noise surrounding the quantum system. Our approach opens up a new avenue for using the big data generated on noisy intermediate-scale quantum devices to train generative models for representation learning of quantum operators, which might be a step toward our ultimate goal of creating an artificial intelligence quantum physicist.
Elevated liver enzymes and fasting glucose levels correlate with neuropathy in patients diagnosed with alcohol use disorder independently of the blood thiamine levels
Authors: Papantoniou Michail , Zampelis Thomas , Kokotis Panagiotis , Tzavellas Elias , Paparrigopoulos Thomas , Chatzipanagiotou Stylianos , Nikolaou Chrysoula , Rentzos Michail 
Published: March 2024

Abstract

Aims
Chronic alcohol consumption is well known to cause peripheral neuropathy, affecting both small and large nerve fibers. The aim of this study was to correlate biochemical and neurophysiological findings and investigate possible biomarkers and risk factors for pathogenetic mechanisms of neuropathy in patients diagnosed with alcohol use disorder (AUD).

Methods
Ninety patients diagnosed with AUD were enrolled in this prospective study over a period of 3 years. Serum biochemical parameters, as well as thiamine blood levels, were determined upon admission. Every subject was assessed by clinical neurological examination, followed by Nerve Conduction Studies, Quantitative Sensory Testing, and Sympathetic Skin Response. Fifty age and gender-matched patients without a diagnosis of AUD were used as the control group.

Results
Peripheral neuropathy was diagnosed in 54 patients (60%). Among them, pure large fiber neuropathy was found in 18 patients, pure small fiber neuropathy in 12 patients, and both large and small fiber neuropathy was diagnosed in 24 patients. Elevated liver enzymes and fasting glucose levels upon admission were significantly correlated with neuropathy. Lower blood thiamine levels (than reference) were found in seven patients and were not correlated with neuropathy.

Conclusions
Our study suggests that alcohol-related liver dysfunction and hyperglycemia may contribute as risk factors of peripheral neuropathy in patients diagnosed with AUD, while blood thiamine levels do not correlate with neuropathy. Moreover, we suggest that liver enzymes and the De Ritis ratio could be potentially used as biomarkers for the incidence and severity of alcohol-related neuropathy.
Socio-Digital Challenges for Social Work in the Metaverse
Authors: Relinque-Medina Fernando , Álvarez-Pérez Pablo 
Published: March 2024

Abstract
The metaverse will have a direct impact on the way we relate to each other as. The interest of the young population explains the extent to which this new developing technological paradigm is already present in our society, generating environments where people will feel part of them and where interactions will be more authentic, immersive, and it remains to be seen whether these relationships will also be more inclusive. The article identifies these challenges through a literature review, making a categorical comparison with the professional competences of social work drawn from the professional codes of standards and competences. A qualitative analysis has been carried out to identify those competences that may be affected by one or more social challenges arising from the popularisation of the metaverse. It presents important challenges for social work, such as changes in community, governance and individual behaviour, as well as implications for ethics, privacy and the way we understand social intervention that require an epistemological, methodological and practical debate in the profession, as yet unpublished, to adapt to this new socio-virtual dimension in which millions of people have already settled. Finally, v-social work is proposed as a new professional field with specific competences.
My Journey to Become a Social Worker: Defining Moments of Professional Identity Formation
Authors: Hochman Yael , Pitowsky-Nave Noga 
Published: March 2024

Abstract
Whilst a main task of social work education is to develop the student's professional identity, the literature on social workers’ identity formation is limited. Drawing on twenty-one reflective written assignments, this qualitative study examined defining moments as perceived by third-year Israeli social work students—moments seen as most influential in their process of professional identity formation. The crafting of a social worker identity was found to be an ongoing and spiral process, unfolding across three main spheres: (1) coping with challenges as an opportunity for development; (2) sparkling experiences validating the emerging professional identity; and (3) intersections of personal and professional identities. The findings suggested that through a process of guided reflection and discussion, often facilitated in supervisory sessions and classroom settings, students were able to transform their experiences into cornerstones for structuring their emerging professional identity. These dynamics underscore the significance of directly incorporating professional identity exploration as an integral part of the social work curriculum.
Association constants of guanine oligomers with alkali-metal ions studied using atmospheric pressure droplet IR-laser ablation mass spectrometry
Authors: Kawashima Fusae , Okutsu Kenichi , Kohno Jun-ya 
Published: March 2024

Abstract
Guanine (G) molecules form a stable tetramer with a metal ion called a G-quartet. We observed G-quartets by using atmospheric pressure droplet Infrared-laser ablation mass spectrometry, which enables us to analyze the abundance of chemical species in solutions. We estimated the association constants of Gn and M+ (M+ = Li+, Na+, and K+) from the intensities of G1–5H+ and G1–4M+ in the obtained mass spectra. The larger association constants of G4 than those of Gn (n ≠ 4) indicate the stability of G-quartets.
Integrated proteomic, transcriptomic, and metabolomic profiling reveals that the gibberellin–abscisic acid hub runs flower development in the Chinese orchid Cymbidium sinense
Authors: Ahmad Sagheer , Lu Chuqiao , Gao Jie , Wei Yonglu , Xie Qi , Jin Jianpeng , Zhu Genfa , Yang Fengxi 
Published: March 2024

Abstract
The seasonal flowering Chinese Cymbidium produce an axillary floral meristem and require a dormancy period during cold conditions for flower development. However, the bud activation mechanism remains elusive. This study evaluates the multi-omics across six stages of flower development, along with functional analysis of core genes to decipher the innate mechanism of floral bud initiation and outgrowth in the Chinese orchid Cymbidium sinense. Transcriptome and proteome analyses identified 10 modules with essential roles in floral bud dormancy and activation. Gene clusters in the early stages of flower development were mainly related to flowering time regulation and meristem determination, while the late stages were correlated with hormone signaling pathways. The metabolome identified 69 potential hormones in which gibberellin (GA) and abscisic acid (ABA) were the main regulatory hubs, and GA4 and GA53 exhibited a reciprocal loop. Extraneous GA application caused rapid elongation of flower buds and promoted the expression of flower development genes. Contrarily, exogenous ABA application extended the dormancy process and ABA inhibitors induced dormancy release. Moreover, CsAPETALA1 (CsAP1) was identified as the potential target of ABA for floral bud activation. Transformation of CsAP1 in Arabidopsis and its transient overexpression in C. sinense protoplasts not only affected flowering time and floral organ morphogenesis in Arabidopsis but also orchestrated the expression of flowering and hormone regulatory genes. The presence of ABA response elements in the CsAP1 promoter, rapid downregulation of CsAP1 after exogenous ABA application, and the activation of the floral bud after ABA inhibitor treatment suggest that ABA can control bud outgrowth through CsAP1.
Assembling intelligence in United Nations peacekeeping: between transformation and path dependency
Authors: De Franco Chiara , Moe Louise Wiuff 
Published: March 2024

Abstract
This article traces the evolution of intelligence in United Nations peacekeeping through a practice-based assemblage lens. We address a gap in the literature by transcending the focus on ‘peacekeeping intelligence’ as merely an evolving policy instrument. Instead, we employ an ‘analytic of assemblage’ that reveals the intrinsic ambiguity of both the concept of peacekeeping intelligence, and the related competing perspectives as well as forms of expertise among stakeholders. We select the United Nations Operation in the Congo (ONUC, 1960–1964), the United Nations Stabilization Mission in Haiti (MINUSTAH, 2004–2017), and the United Nations Multidimensional Integrated Stabilization Mission in Mali (MINUSMA, 2013–2023) as cases to reconstruct the historical evolution of intelligence within peacekeeping. Our analysis reveals profound tensions between efforts to transform intelligence for broader goals like the protection of civilians, on the one hand, and the persistent dominance of military knowledge and tactical priorities in its implementation, on the other. We convey the enduring predominance of military priorities shaping intelligence practices across spatio-temporal contexts, grounded in historical legacies of doctrinal developments, training and regional collaborations. The analysis thereby highlights the interplay between contingency and the influence of enduring power structures in shaping the evolving peacekeeping assemblage. This offers a perspective that links assemblage approaches with the analysis of not only emergence but also path dependency influenced by historical and geopolitical contexts and suggests that strengthening such analytical link holds wider potential for advancing contributions of assemblage approaches to critical security studies.
The causes of bacterial bloodstream infections and antimicrobial resistance patterns in children attending a secondary care hospital in Bhaktapur, Nepal, 2017–2022: a retrospective study
Authors: Shrestha Raj Kumar , Shrestha Dhruba , Sah Ashok Kumar , Thapa Ashmita , Shrestha Nipun , Raya Ganendra Bhakta , Furushima Kenshi , Dhoubhadel Bhim Gopal , Parry Christopher M 
Published: March 2024

Abstract

Objectives
Data on antimicrobial resistance (AMR) among children in Nepal are limited. Here we have characterized the causes of bacterial bloodstream infections (BSIs), antimicrobial resistance patterns and the mechanisms of β-lactamase production in Enterobacterales among children attending outpatient and inpatient departments of a secondary care paediatric hospital in Nepal.

Methods
We retrospectively collected demographic and clinical data of culture-proven bacterial BSIs between January 2017 and December 2022 among children &lt;18 years attending a 50-bedded paediatric hospital. Stored isolates were subcultured for antimicrobial susceptibility testing against commonly used antimicrobials. Enterobacterales displaying non-susceptibility to β-lactams were phenotypically and genotypically investigated for ESBLs, plasmid-mediated AmpC (pAmpC) β-lactamases and carbapenemases.

Results
A total of 377 significant bacteria were isolated from 27 366 blood cultures. Among 91 neonates with a BSI, Klebsiella pneumoniae (n = 39, 42.4%), Pseudomonas aeruginosa (n = 15, 16.3%) and Acinetobacter baumannii complex (n = 13, 14.1%) were most common. In the non-neonates, 275/285 (96.5%) infections were community-acquired including Staphylococcus aureus (n = 89, 32.4%), Salmonella Typhi (n = 54, 19.6%) and Streptococcus pneumoniae (n = 32, 11.6%). Among the 98 S. aureus, 29 (29.6%) were methicillin-resistant Staphylococcus aureus. K. pneumoniae and Escherichia coli demonstrated non-susceptibility to extended-spectrum cephalosporins and carbapenems in both community and hospital-acquired cases. For E. coli and K. pneumoniae, blaCTX-M (45/46), blaEBC (7/10) and blaOXA-48 (5/6) were common among their respective groups.

Conclusions
We determined significant levels of AMR among children attending a secondary care paediatric hospital with BSI in Nepal. Nationwide surveillance and implementation of antimicrobial stewardship policies are needed to combat the challenge imposed by AMR.
Structure-based design, biophysical characterization, and biochemical application of the heterodimeric affinity purification tag based on the Schistosoma japonicum glutathione-S-transferase (SjGST) homodimer
Authors: Du Yan , Kobashigawa Yoshihiro , Okazaki Kyo , Ogawa Mizuki , Kawaguchi Tomoyuki , Sato Takashi , Morioka Hiroshi 
Published: March 2024

Abstract
Schistosoma japonicum glutathione-S-transferase (SjGST), the so-called GST-tag, is one of the most widely used protein tags for the purification of recombinant proteins by affinity chromatography. Attachment of SjGST enables the purification of a protein of interest (POI) using commercially available glutathione-immobilizing resins. Here we produced an SjGST mutant pair that forms heterodimers by adjusting the salt bridge pairs in the homodimer interface of SjGST. An MD study confirmed that the SjGST mutant pair did not disrupt the heterodimer formation. The modified SjGST protein pair coexpressed in Escherichia coli was purified by glutathione-immobilized resin. The stability of the heterodimeric form of the SjGST mutant pair was further confirmed by size exclusion chromatography. Surface plasmon resonance measurements unveiled the selective formation of heterodimers within the pair, accompanied by a significant suppression of homodimerization. The heterodimeric SjGST exhibited enzymatic activity in assays employing a commercially available fluorescent substrate. By fusing one member of the heterodimeric SjGST pair with a fluorescent protein and the other with the POI, we were able to conveniently and sensitively detect protein–protein interactions using fluorescence spectroscopy in the pull-down assays. Thus, utilization of the heterodimeric SjGST would be a useful tag for protein science.