bluuebunny/crossref_metadata_2025 huggingface dataset:
Semileptonic
Ωb→Ωcℓν¯ℓ
transition in full QCD
Authors: Neishabouri Z. , Azizi K. , Moshfegh H. R.
Published: July 2024

We investigate the semileptonic decay of Ωb→Ωcℓν¯ℓ in three lepton channels. To this end, we use the QCD sum rule method in three point framework to calculate the form factors defining the matrix elements of these transitions. Having calculated the form factors as building blocks, we calculate the decay widths and branching fractions of the exclusive decays in all lepton channels and compare the results with other theoretical predictions. The obtained results for branching ratios and ratio of branching fractions at different leptonic channels may help experimental groups in their search for these weak decays. Comparison of the obtained results with possible future experimental data can be useful to check the order of consistency between the standard model theory predictions and data on the heavy baryon decays.

Published by the American Physical Society
2024
Flavon vacuum alignment beyond SUSY
Authors: Hagedorn Claudia , López-Ibáñez M. L. , Pérez M. Jay , Rahat Moinul Hossain , Vives Oscar
Published: July 2024

In flavor models the vacuum alignment of flavons is typically achieved via the F-terms of certain fields in the supersymmetric limit. We propose a method for preserving such alignments, up to a rescaling of the vacuum expectation values, even after softly breaking supersymmetry (and the flavor symmetry). This facilitates the vacuum alignment in models which are nonsupersymmetric at low energies. Examples of models with different flavor groups, namely, A4, T7, S4, and Δ(27), are discussed.

Published by the American Physical Society
2024
Nonplanar integrated correlator in
N=4
SYM
Authors: Zhang Shun-Qing
Published: July 2024

The integrated correlator of four superconformal stress-tensor primaries in SU(N) N=4 super Yang-Mills (SYM) theory in the perturbative limit takes a remarkably simple form, where the L-loop coefficient is given by a rational multiple of ζ(2L+1). In this paper, we extend the previous analysis of expressing the perturbative integrated correlator as a linear combination of periods of f-graphs, graphical representations for loop integrands, to the nonplanar sector at four loops. At this loop order, multiple zeta values make their first appearance when evaluating periods of nonplanar

f

-graphs, but cancel nontrivially in the weighted sum. The remaining single zeta value, along with the rational number prefactor, makes a perfect agreement with the prediction from supersymmmetric localization.

Published by the American Physical Society
2024
Quantum Enhancement in Dark Matter Detection with Quantum Computation
Authors: Chen Shion , Fukuda Hajime , Inada Toshiaki , Moroi Takeo , Nitta Tatsumi , Sichanugrist Thanaporn
Published: July 2024

We propose a novel method to significantly enhance the signal rate in qubit-based dark matter detection experiments with the help of quantum interference. Various quantum sensors possess ideal properties for detecting wavelike dark matter, and qubits, commonly employed in quantum computers, are excellent candidates for dark matter detectors. We demonstrate that, by designing an appropriate quantum circuit to manipulate the qubits, the signal rate scales proportionally to nq2, with nq being the number of sensor qubits, rather than linearly with nq. Consequently, in the dark matter detection with a substantial number of sensor qubits, a significant increase in the signal rate can be expected. We provide a specific example of a quantum circuit that achieves this enhancement by coherently combining the phase evolution in each individual qubit due to its interaction with dark matter. We also demonstrate that the circuit is fault tolerant to dephasing noises, a critical quantum noise source in quantum computers. The enhancement mechanism proposed here is applicable to various modalities for quantum computers, provided that the quantum operations relevant to enhancing the dark matter signal can be applied to these devices.

Published by the American Physical Society
2024
SrCu(OH)3Cl
, an isolated equilateral triangle spin
S=1/2
model system
Authors: Pal Sudip , Doležal Petr , Strøm Scott A. , Bertaina Sylvain , Pustogow Andrej , Kremer Reinhard K. , Dressel Martin , Puphal Pascal
Published: July 2024

We have investigated the magnetic ground state properties of the quantum spin trimer compound strontium hydroxy copper chloride SrCu(OH)3Cl using bulk magnetization, specific heat measurements, nuclear magnetic resonance (NMR), and electron spin resonance (ESR) spectroscopy. SrCu(OH)3Cl consists of layers with isolated Cu2+ triangles and hence provides an opportunity to understand the magnetic ground state of an isolated system of S = 1/2 arranged on an equilateral triangle. Although magnetization measurements do not exhibit a phase transition to a long-range ordered state down to T = 2 K, they reveal the characteristic behavior of isolated trimers with an exchange of J=154 K. The Curie-Weiss behavior changes around 50–80 K, as is also seen in the NMR spin-lattice relaxation rate. In zero magnetic field, our specific heat data establish a second-order phase transition to an antiferromagnetic ground state below T= 1.2 K. We have drawn a magnetic field-temperature (H−T) phase diagram based on the specific heat measurements. The ESR data show divergence of the linewidth at lower temperatures, which precedes the phase transition to an antiferromagnetic long-range ordered state with unconventional critical exponents. The temperature variation of the g-factor further confirms the antiferromagnetic phase transition and reflects the underlying magnetocrystalline anisotropy of the compound.

Published by the American Physical Society
2024
Random coordinate descent: A simple alternative for optimizing parameterized quantum circuits
Authors: Ding Zhiyan , Ko Taehee , Yao Jiahao , Lin Lin , Li Xiantao
Published: July 2024

Variational quantum algorithms rely on the optimization of parameterized quantum circuits in noisy settings. The commonly used back-propagation procedure in classical machine learning is not directly applicable in this setting due to the collapse of quantum states after measurements. Thus, gradient estimations constitute a significant overhead in a gradient-based optimization of such quantum circuits. This paper introduces a random coordinate descent algorithm as a practical and easy-to-implement alternative to the full gradient descent algorithm. This algorithm only requires one partial derivative at each iteration. Motivated by the behavior of measurement noise in the practical optimization of parameterized quantum circuits, this paper presents an optimization problem setting that is amenable to analysis. Under this setting, the random coordinate descent algorithm exhibits the same level of stochastic stability as the full gradient approach, making it as resilient to noise. The complexity of the random coordinate descent method is generally no worse than that of the gradient descent and can be much better for various quantum optimization problems with anisotropic Lipschitz constants. Theoretical analysis and extensive numerical experiments validate our findings.

Published by the American Physical Society
2024
Exact steady states in the asymmetric simple exclusion process beyond one dimension
Authors: Ishiguro Yuki , Sato Jun
Published: July 2024

The asymmetric simple exclusion process (ASEP) is a paradigmatic nonequilibrium many-body system that describes the asymmetric random walk of particles with exclusion interactions in a lattice. Although the ASEP is recognized as an exactly solvable model, most of the exact results obtained so far are limited to one-dimensional systems. Here, we construct the exact steady states of the ASEP with closed and periodic boundary conditions in arbitrary dimensions. This is achieved through the concept of transition decomposition, which enables the treatment of the multidimensional ASEP as a composite of the one-dimensional ASEPs.

Published by the American Physical Society
2024
Quantum spin supersolid as a precursory Dirac spin liquid in a triangular lattice antiferromagnet
Authors: Jia Haichen , Ma Bowen , Wang Z. D. , Chen Gang
Published: July 2024

Based on the recent experiments on the triangular lattice antiferromagnet Na2BaCo(PO4)2, we propose the easy-axis XXZ spin-1/2 model on the triangular lattice, that exhibits a quantum spin supersolid, to be a precursory Dirac spin liquid. Despite the presence of a three-sublattice magnetic order as a spin supersolid, we suggest that this system is close to a Dirac spin liquid by exploring its spectroscopic response. The physical consequence is examined from the spectroscopic response, and we establish the continuous spectra near the M point in addition to the K point excitation from the spinon continuum on top of the three-sublattice order. Moreover, the satellite peaks were predicted at the mid-points connecting the Γ and K points. This proposal offers a plausible understanding of the recent inelastic neutron scattering measurement in Na2BaCo(PO4)2 and could inspire further research in relevant models and materials, such as K2Co(SeO3)2 and Rb2Co(SeO3)2, and even more anisotropic magnets like PrMgAl11O19.

Published by the American Physical Society
2024
Adaptive diversity-based quantum circuit architecture search
Authors: Huang Yuhan , Jin Siyuan , Zeng Bei , Shao Qiming
Published: July 2024

Quantum variational algorithms (VQAs) are highly promising to realize quantum advantages on near-term quantum devices. Existing VQAs based on a manually fixed quantum are computationally inefficient due to noise and the limited coupling maps of these devices. Previous work considers various quantum architecture search (QAS) algorithms to autodesign a quantum based on specific questions to improve the performance of VQAs. Compared to manual design, autodesign can more efficiently explore the large space of a possible and achieve better performance. However, two main challenges in utilizing QAS to design quantum circuits efficiently are the tremendous amount of space required for candidate quantum circuits, and the disconnection between quantum devices and autodesign in terms of qubit mapping and quantum noise. To address these issues, we propose an adaptive diversity-based quantum search algorithm to efficiently generate the optimal quantum circuit based on device qubit mapping and noise. By considering the diversity among different candidate circuits and adaptively adding circuit depths, our approach only needs to focus on a small optimization space at each iteration step. In addition, the synchronization of optimizing circuit structure and aligning qubit mapping enables us to generate quantum circuits while avoiding additional mapping overhead. We evaluate the performance of our algorithm on simulators and real quantum devices for quantum eigenvalue problems and classification tasks. Results demonstrate that quantum circuits generated by our method outperform both a fixed hardware-efficient and randomly generated quantum circuits in terms of final performance and resource-saving. Our algorithm provides a flexible way to efficiently generate excellent quantum circuits for significantly improving the performances of VQAs on near-term quantum devices.

Published by the American Physical Society
2024
Efficient factored gradient descent algorithm for quantum state tomography
Authors: Wang Yong , Liu Lijun , Cheng Shuming , Li Li , Chen Jie
Published: July 2024

Reconstructing the state of quantum many-body systems is of fundamental importance in quantum information tasks, but extremely challenging due to the curse of dimensionality. In this work, we present an efficient quantum tomography protocol that combines the state-factored with eigenvalue mapping to address the rank-deficient issue and incorporates a momentum-accelerated gradient descent algorithm to speed up the optimization process. We implement extensive numerical experiments to demonstrate that our factored gradient descent algorithm efficiently mitigates the rank-deficient problem and admits orders of magnitude better tomography accuracy and faster convergence. We also find that our method can accomplish the full-state tomography of random 11-qubit mixed states within one minute.

Published by the American Physical Society
2024
Reconciling mean-squared radius differences in the silver chain through improved measurement and
ab initio
calculations
Authors: Ohayon B. , Padilla-Castillo J. E. , Wright S. C. , Meijer G. , Sahoo B. K.
Published: July 2024

Nuclear charge radius differences in the silver isotopic chain have been reported through different combinations of experiment and theory, exhibiting a tension of two combined standard errors. This study investigates this issue by combining high-accuracy calculations for six low-lying states of atomic silver with an improved measurement of the 5s2S1/2−5p2P3/2 transition optical isotope shift. Our calculations predict measured electronic transition energies in Ag  at the 0.3% level, the highest accuracy achieved in this system so far. We calculate electronic isotope shift factors by employing analytical response relativistic coupled-cluster theory and find that a consistent charge radius difference between Ag107,109 is returned when combining our calculations with the available optical isotope shift measurements. We therefore recommend an improved value for the mean-squared charge radius difference between Ag107 and Ag109 as 0.207(6) fm2, within one combined error from the value derived from muonic Ag experiments, and an updated set of charge radii differences across the isotopic chain.

Published by the American Physical Society
2024
Global sampling of Feynman's diagrams through normalizing flow
Authors: Leoni Luca , Franchini Cesare
Published: July 2024

Normalizing flows (NF) are powerful generative models with increasing applications in augmenting Monte Carlo algorithms due to their high flexibility and expressiveness. In this work we explore the integration of NF in the diagrammatic Monte Carlo (DMC) method, presenting an architecture designed to sample the intricate multidimensional space of Feynman's diagrams through dimensionality reduction. By decoupling the sampling of diagram order and interaction times, the flow focuses on one interaction at a time. This enables one to construct a general diagram by employing the same unsupervised model iteratively, dressing a zero-order diagram with interactions determined by the previously sampled order. The resulting NF-augmented DMC method is tested on the widely used single-site Holstein polaron model in the entire electron-phonon coupling regime. The obtained data show that the model accurately reproduces the diagram distribution by reducing sample correlation and observables' statistical error, constituting the first example of global sampling strategy for connected Feynman's diagrams in the DMC method.

Published by the American Physical Society
2024
Artificial neural network syndrome decoding on IBM quantum processors
Authors: Hall Brhyeton , Gicev Spiro , Usman Muhammad
Published: July 2024

Syndrome decoding is an integral but computationally demanding step in the implementation of quantum error correction for fault-tolerant quantum computing. Here, we report the development and benchmarking of Artificial Neural Network (ANN) decoding on IBM quantum processors. We demonstrate that ANNs can efficiently decode syndrome measurement data from heavy-hexagonal code architecture and apply appropriate corrections to facilitate error protection. The current physical error rates of IBM devices are above the code's threshold and restrict the scope of our ANN decoder for logical error rate suppression. However, our work confirms the applicability of ANN decoding methods of syndrome data retrieved from experimental devices and establishes machine learning as a promising pathway for quantum error correction when quantum devices with below threshold error rates become available in the near future.

Published by the American Physical Society
2024
Edge Modes and Symmetry-Protected Topological States in Open Quantum Systems
Authors: Paszko Dawid , Rose Dominic C. , Szymańska Marzena H. , Pal Arijeet
Published: July 2024

Topological order offers possibilities for processing quantum information that can be immune to imperfections. However, the question of its stability out of equilibrium is relevant for experiments, where coupling to an environment is unavoidable. In this work, we demonstrate the robustness of certain aspects of Z2×Z2 symmetry-protected topological (SPT) order against a wide class of dissipation channels in the Lindblad and quantum trajectory formalisms of an open quantum system. This is illustrated using the one-dimensional ZXZ cluster Hamiltonian along with Pauli-string jump operators. We show that certain choices of dissipation retaining strong symmetries support a steady-state manifold consisting of two nonlocal qubits and for Hamiltonian perturbations preserving the global symmetry, states in this manifold remain metastable. In contrast, this metastability is destroyed upon breaking the above-mentioned symmetry. While the localized qubits of the cluster Hamiltonian are not conserved by the Lindbladian evolution, they do correspond to weak symmetries and thus retain a memory of their initial state at all times in the quantum trajectories. We utilize this feature to construct protocols to retrieve the quantum information either by monitoring jumps or error mitigation. Our work thus proposes a novel framework to study the dynamics of dissipative SPT phases and opens up the possibility of engineering entangled states relevant to quantum information processing.

Published by the American Physical Society
2024
Crystal structures of NAD(P)H nitroreductases from Klebsiella pneumoniae
Authors: Kancherla Abhishek D. , Liu Lijun , Tillery Logan , Shek Roger , Craig Justin K. , Machen Alexandra J. , Seibold Steve , Battaile Kevin P. , Fradi Selma , Barrett Lynn K. , Subramanian Sandhya , Myler Peter , Van Voorhis Wesley C. , Lovell Scott
Published: July 2024

Klebsiella pneumoniae (Kp) is an infectious disease pathogen that poses a significant global health threat due to its potential to cause severe infections and its tendency to exhibit multidrug resistance. Understanding the enzymatic mechanisms of the oxygen-insensitive nitroreductases (Kp-NRs) from Kp is crucial for the development of effective nitrofuran drugs, such as nitrofurantoin, that can be activated as antibiotics. In this paper, three crystal structures of two Kp-NRs (PDB entries 7tmf/7tmg and 8dor) are presented, and an analysis of their crystal structures and their flavin mononucleotide (FMN)-binding mode is provided. The structures with PDB codes 7tmf (Kp-NR1a), 7tmg (Kp-NR1b) and 8dor (Kp-NR2) were determined at resolutions of 1.97, 1.90 and 1.35 Å, respectively. The Kp-NR1a and Kp-NR1b structures adopt an αβ fold, in which four-stranded antiparallel β-sheets are surrounded by five helices. With domain swapping, the β-sheet was expanded with a β-strand from the other molecule of the dimer. The difference between the structures lies in the loop spanning Leu173–Ala185: in Kp-NR1a the loop is disordered, whereas the loop adopts multiple conformations in Kp-NR1b. The FMN interactions within Kp-NR1/NR2 involve hydrogen-bond and π-stacking interactions. Kp-NR2 contains four-stranded antiparallel β-sheets surrounded by eight helices with two short helices and one β-sheet. Structural and sequence alignments show that Kp-NR1a/b and Kp-NR2 are homologs of the Escherichia coli oxygen-insensitive NRs YdjA and NfnB and of Enterobacter cloacae NR, respectively. By homology inference from E. coli, Kp-NR1a/b and Kp-NR2 may detoxify polynitroaromatic compounds and Kp-NR2 may activate nitrofuran drugs to cause bactericidal activity through a ping-pong bi-bi mechanism, respectively.
Disassembling the components of virtual clothing presentation: exploring their impact on consumers' perception and purchase intention
Authors: Dai Siyi , Xiao Ping , Li Huimin
Published: July 2024

Purpose

Virtual clothing presentation has a visual 3D effort and allows consumers to interact. Currently, most scholars make virtual clothing presentations as a whole or focus on one element to study its impact on consumers’ purchase intentions. This study disassembles the components of virtual clothing presentation in Taobao and explores how each component (virtual clothing, virtual model, presentation space, presentation technology and system quality) affects consumers’ purchase intention, which can provide clothing companies recommendations for developing it and help improve consumers’ online shopping experience.

Design/methodology/approach

This study created the parts of a virtual clothing presentation and took advantage of Taobao’s 3D interactive module to simulate a shopping scenario. Participants experienced a 3D interactive virtual clothing presentation in which they could change clothing colors, show actual clothing sizes, try different model poses, switch presentation backgrounds and unfold clothing structure through interactive buttons. Then they were randomly assigned to view two kinds of images and videos of experiment clothing (real images and videos vs virtual ones), respectively. Hypotheses were tested using SEM and applying SmartPLS 4.

Findings

The results demonstrated that five components of virtual clothing presentation have different degrees of influence on consumers’ purchase intention through different consumer perceptions (perceived usefulness, ease of use and enjoyment). It is necessary to consider the design of the virtual clothing presentation in those five dimensions for different needs. In addition, it is feasible to replace images and animated videos of real clothing with virtual ones in Taobao.

Originality/value

Different types of virtual clothing presentations can lead to various results in terms of diverse impacts. This study disassembles and researches each component of a virtual clothing presentation. Overall, this study could provide guidance and suggestions for clothing companies to develop and design or invest in virtual clothing presentations.
Can artificial intelligence produce a convincing accounting research article?
Authors: du Toit Elda
Published: July 2024

Purpose

This study aims to establish whether accounting research articles can be potentially generated by artificial intelligence. If artificial intelligence can produce quality work, the integrity of academic research may be compromised.

Design/methodology/approach

ChatGPT was used to create a paper on a meta-analysis of the relationship between sustainability reporting and value relevance. After the paper was generated, references had to be added by hand based on the citations created by ChatGPT. The paper was then presented as-is for review.

Findings

ChatGPT was able to create a relatively good-quality research paper that received two major revisions from independent specialists in the field of accounting and finance. Even though there is uncertainty regarding the appropriateness of all the references and the results cannot be confirmed, there is a risk that a reviewer may find the paper publishable because reviewers are not compelled to check references and the accuracy of results if proper methods were used that appear to be sufficient at face value.

Originality/value

Artificial intelligence for academic writing is still relatively new, and there is still significant uncertainty as to the impact it may have on scholarly research. This is especially problematic because artificial intelligence applications improve by the second.
Exploring the relationship between team institutional composition and novelty in academic papers based on fine-grained knowledge entities
Authors: Chen Ziling , Zhang Chengzhi , Zhang Heng , Zhao Yi , Yang Chen , Yang Yang
Published: July 2024

Purpose

The composition of author teams is a significant factor affecting the novelty of academic papers. Existing research lacks studies focusing on institutional types and measures of novelty remained at a general level, making it difficult to analyse the types of novelty in papers and to provide a detailed explanation of novelty. This study aims to take the field of natural language processing (NLP) as an example to analyse the relationship between team institutional composition and the fine-grained novelty of academic papers.

Design/methodology/approach

Firstly, author teams are categorized into three types: academic institutions, industrial institutions and mixed academic and industrial institutions. Next, the authors extract four types of entities from the full paper: methods, data sets, tools and metric. The novelty of papers is evaluated using entity combination measurement methods. Additionally, pairwise combinations of different types of fine-grained entities are analysed to assess their contributions to novel papers.

Findings

The results of the study found that in the field of NLP, for industrial institutions, collaboration with academic institutions has a higher probability of producing novel papers. From the contribution rate of different types of fine-grained knowledge entities, the mixed academic and industrial institutions pay more attention to the novelty of the combination of method indicators, and the industrial institutions pay more attention to the novelty of the combination of method tools.

Originality/value

This paper explores the relationship between the team institutional composition and the novelty of academic papers and reveals the importance of cooperation between industry and academia through fine-grained novelty measurement, which provides key guidance for improving the quality of papers and promoting industry–university–research cooperation.
Investigating the primary factors of work happiness in gig workers
Authors: Tiwari Anjali , Khan Saleena , Chandran Renju , Tewari Alok
Published: July 2024

Purpose

This study dwells into the crucial aspects of gig workers' jobs that are absent, with specific focus on the work life of food delivery workers (FDWs) and how it impacts their work happiness.

Design/methodology/approach

To create a conceptual model, 21 delivery workers were first interviewed, and the data gathered were scrutinized. Subsequently, a questionnaire was sent to 493 delivery partners, probing about their opinions of work factors that could affect their level of happiness. The collected data were put to study by the authors using AMOS and SPSS.

Findings

Five missing work components were revealed by qualitative investigation. The absence of voice, recognition, career growth, work satisfaction, and dignity at work contributed to unhappiness of the workers. The qualitative analysis was supported by quantitative findings. Additionally, company policy moderated the relationship between absence of voice, absence of career growth, absence of job satisfaction and absence of work happiness.

Originality/value

To the best of the authors’ knowledge, this is one of the first studies using a mixed-method approach to identify factors contributing to the unhappiness of FDWs in work. The originality of this study also lies in establishing the moderating influence of company policy on the relationship between the absence of voice, absence of career growth, absence of work satisfaction and absence of workplace happiness among the workers.
Evaluating social media in architecture, engineering, construction and operation industry: a Nigerian perspective on applications and benefits
Authors: Oke Ayodeji Emmanuel , Aliu John , Oyediran Abiola Oluwasogo , Ukaha Onyeukwu Samuel
Published: July 2024

Purpose

In several developing contexts, the delivery of Architecture, Engineering Construction and Operation (AECO) projects continually grapples with issues such as fragmented communication, a lack of transparency, safety and risk management concerns. These problems result from the use of traditional construction practices and insufficient technology integration. Therefore, there is a pressing need to enhance communication, transparency and collaboration within construction projects in these countries through the improved utilization of innovative tools. Consequently, this study empirically assesses both the application areas and the benefits associated with the adoption of social media within the Nigerian construction industry.

Design/methodology/approach

This study employed a quantitative research approach that utilized a structured questionnaire to collect responses from construction professionals. The respondents were selected using a combination of purposive and snowball sampling techniques, resulting in a 75% response rate. Data analysis included mean score value (MSV), standard deviations and normality testing (Shapiro-Wilk) to assess data characteristics. The Kruskal-Wallis H-test was used for further analysis due to the ordinal nature of the data.

Findings

The findings of this study indicate that social media can be effectively used in project management, communication, safety management, as well as marketing and branding of AECO projects. The most significant benefits of using social media in construction activities include building trust and credibility, enhancing crisis communication and improving project collaboration.

Originality/value

This study introduces a fresh perspective by showcasing the transformative potential of social media, traditionally viewed as a communication tool, in addressing complex issues in construction project delivery. Consequently, the findings of this study can offer a paradigm shift in the way construction professionals, policymakers and industry stakeholders perceive and harness the capabilities of social media.
Documentation as part of substance use rehabilitation: how workers account for the significance of documentation during interviews
Authors: Günther Kirsi , Ekqvist Eeva , Kuusisto Katja
Published: July 2024

Purpose

The focus of this article is in documentation in substance abuse inpatient rehabilitation. Our article scrutinizes how workers give accounts of the documentation in the inpatient substance abuse rehabilitation unit and what kind of client information the workers record.

Design/methodology/approach

The study focuses on institutional interaction and practices. Our data consist of interviews with substance abuse rehabilitation professionals (N = 15). We analyzed the interviews using content analysis and the account concept in keeping with the ethnomethodological research tradition.

Findings

Study shows how workers account for the significance of documentation. Workers deemed documentation significant in four different ways: in gathering basic and rehabilitation information, in storing and transmitting information, as a tool for analysis and assessment and in supporting linguistic transparency in substance abuse rehabilitation. Workers justified the significance of documentation by the legal requirement to record information about clients. Documented information enables clear management of client information and supports substance abuse rehabilitation work in various ways. Documentation contains descriptions of the client’s situation and work performed. Additionally, documentation serves as a tool for communication among social care professional.

Originality/value

Thus the research show that documentation plays a significance part in the inpatient substance abuse rehabilitation and are connected to its institutional tasks and practices.
Do the fraud triangle components fuel complex financial fraud? A study of nonfinancial firms in Pakistan
Authors: Shahzadi Kinza , Alim Wajid , Khan Salleh Nawaz
Published: July 2024

Purpose

Financial fraud is a severe corporate fraud committed for achieving various objectives, like attaining financial targets, lowering debt and providing good signals to the market. Such financial fraud deceives stakeholders and results in substantial financial losses. This study aims to detect financial fraud using the modified Beneish M-Score, the most appropriate forensic tool for fraud detection. Furthermore, the current study also examines the influential role of the fraud triangle’s elements (pressure, opportunity and rationalization) on financial fraud in nonfinancial firms during 2018–2021, offering insight for understanding and mitigating fraudulent activities in the corporate world.

Design/methodology/approach

Financial fraud is treated as a dependent variable measured through a modified Beneish M-score, while the fraud triangle elements (pressure, opportunity and rationalization) are measured through six proxies, which are financial stability, leverage, financial target, nature of the industry, the effectiveness of supervision and auditor changes.

Findings

The study's finding proclaimed that fraud triangle elements result in financial fraud. Findings unveil that all elements (pressure, opportunity and rationalization) of the fraud triangle significantly influence financial fraud. The study confirms that these elements must be considered to protect investors and provide a safe environment for investment.

Originality/value

Rare literature found addressing the detection of financial fraud and its nexus with the fraud triangle specifically in Pakistan where deficient governance is notably prevalent. This study attempts to fill such a gap and contribute to knowledge.
Ethical discourse of ethical (Islamic) finance: a systematic literature review (1988–2022) and the way forward
Authors: Shamsudheen Shinaj Valangattil , Mohamad Shamsher , Muneeza Aishath , Mahomed Ziyaad
Published: July 2024

Purpose

This paper aims to portray the publication pattern, key themes, study trends and future directions for the studies on ethics in Islamic finance. A total of 194 published documents that includes journal articles, books and book chapters and conference proceedings were screened for the period 1988 to August 2022 and categorized based on designated sectors of the Islamic finance industry. This paper also highlights the change in research trends in all three sectors of Islamic finance and suggests possible areas for future research.

Design/methodology/approach

A comprehensive systematic literature review was conducted using the “advanced search” function of “google scholar” by using the option “find articles” with the keywords “Ethic (s/al)”, “Islamic banks”, “Islamic banking”, “Islamic finance”, “Islamic capital markets” Takaful, Islamic insurance without restricting the time frame, author list and the platform. Furthermore, the search for relevant articles was conducted on other mainstream index databases such as “Web of Science” and “Scopus”.

Findings

Among the highlights of the findings were an increase in publications on ethical issues after the global financial crisis and an increase in publications in high-impact mainstream business and finance journals. A higher number of studies were documented in the area of Islamic banking and finance followed by Islamic capital markets and Islamic insurance/Takaful. Although a greater number of empirical studies were published than conceptual studies, dominance was resulted due to the replication of the studies in various jurisdictions based on the same concepts or models rather than applying diversified concepts in various jurisdictions.

Originality/value

This study contributes to the growing literature on ethical and/or Islamic finance as a guide for researchers to identify research gaps and provides a systematic direction for future studies in the area of ethics in Islamic finance.
Organizational responses to transparency determinants
Authors: Král Pavel , Schnackenberg Andrew
Published: July 2024

Purpose

Despite considerable evidence of the benefits of organizational transparency, policies to enhance transparency often fail or are met with resistance and unexpected results. In part, this is due to a lack of knowledge about the drivers of organizational transparency and their interrelationships. This study examines the interplay among the forces that influence organizational transparency, and thus answers numerous calls for developing a deeper theoretical understanding of the determinants of organizational transparency. We propose three forces that influence organizational transparency and theorize how they combine in nonlinear ways to form five archetypical transparency regimes that organizations operate within. We then discuss contingencies to organizational transparency within each regime.

Design/methodology/approach

We employ configurational theorizing to capture the complexity of transparency and the nonlinear relationships among the forces of transparency.

Findings

We propose three forces that influence organizational transparency: institutional, societal, and leadership. We identify configurations of the three forces that yield five archetypical transparency regimes. We then discuss contingencies for cultivating organizational transparency within each regime. Vanguard transparency and pioneering transparency represent the desired regimes for fostering organizational transparency. In contrast, hollow transparency and deceptive transparency reveal a combination of determinants that cultivate less desirable forms of organizational transparency. Paradoxical transparency represents a regime in which socially desirable outcomes are associated with undesirable consequences for an organization.

Research limitations/implications

This paper is among the first to theorize the drivers of organizational transparency and to discuss the limits and boundaries of organizational responses to transparency determinants.

Practical implications

Despite the many benefits of transparency, we explain why efforts to enhance organizational transparency often fail or are met with mixed results. By considering the three forces, managers and policymakers can avoid unexpected and undesired organizational responses to transparency regimes.

Social implications

We propose five transparency regimes that place a spotlight on social contingencies to enhance transparency.

Originality/value

This study offers an integrative theory of organizational responses to transparency determinants and develops its theoretical foundations. The model integrates the fragmented empirical findings from previous studies on the determinants of transparency and draws attention to overlooked institutional, societal, and leadership forces that influence organizational transparency.
Development of vision–based SLAM: from traditional methods to multimodal fusion
Authors: Zheng Zengrui , Su Kainan , Lin Shifeng , Fu Zhiquan , Yang Chenguang
Published: July 2024

Purpose

Visual simultaneous localization and mapping (SLAM) has limitations such as sensitivity to lighting changes and lower measurement accuracy. The effective fusion of information from multiple modalities to address these limitations has emerged as a key research focus. This study aims to provide a comprehensive review of the development of vision-based SLAM (including visual SLAM) for navigation and pose estimation, with a specific focus on techniques for integrating multiple modalities.

Design/methodology/approach

This paper initially introduces the mathematical models and framework development of visual SLAM. Subsequently, this paper presents various methods for improving accuracy in visual SLAM by fusing different spatial and semantic features. This paper also examines the research advancements in vision-based SLAM with respect to multi-sensor fusion in both loosely coupled and tightly coupled approaches. Finally, this paper analyzes the limitations of current vision-based SLAM and provides predictions for future advancements.

Findings

The combination of vision-based SLAM and deep learning has significant potential for development. There are advantages and disadvantages to both loosely coupled and tightly coupled approaches in multi-sensor fusion, and the most suitable algorithm should be chosen based on the specific application scenario. In the future, vision-based SLAM is evolving toward better addressing challenges such as resource-limited platforms and long-term mapping.

Originality/value

This review introduces the development of vision-based SLAM and focuses on the advancements in multimodal fusion. It allows readers to quickly understand the progress and current status of research in this field.
Power, youth, and temporality: capitalising on the symbolic in resourcing social entrepreneurship
Authors: Lewis Kate V.
Published: July 2024

Purpose

Using elements of Bourdieu’s (1986) capitals framework as an underpinning conceptual architecture, this paper theorises the role of symbolic capital in resourcing a specific example of socially entrepreneurial behaviour.

Design/methodology/approach

This paper relies on data collected via a qualitative variant of the critical incident technique.

Findings

The analysis resulted in three focal themes: power (a dynamic of cooperation rather than domination), age (youth as a means of legitimation) and temporality (as both lever and conduit).

Research limitations/implications

These themes further current understanding of socially entrepreneurial behaviour and potentially catalyse additional questioning and investigation specific to the construct of symbolic capital in this context.

Practical implications

The insights offered in the paper may assist those tasked with supporting success (policymakers and practitioners) in the social entrepreneurship domain.

Originality/value

Relatively little is known about the operationalisation of capitals in the context of social entrepreneurship, and even less about symbolic capital specifically. Particular emphasis is given to moving beyond a focus on the simple mechanics of capital exchange and conversion.
Enhancing the impact of literature reviews: guidelines for making meaningful contributions
Authors: van Riel Allard , Snyder Hannah
Published: July 2024

Purpose

Most papers and books on conducting literature reviews primarily emphasize achieving technical quality, ensuring reproducibility and validating results. Notwithstanding the need for technical excellence, there is also a need for relevance. The purpose of this study is to address that need and offer practical and constructive suggestions for enhancing the meaningful contribution of a literature review, thereby increasing its impact and relevance for publication.

Design/methodology/approach

In this conceptual paper, the authors explore strategies to enhance the relevance and contribution of a literature review. By clarifying the needs of diverse audiences and the principles of generating new insights, the authors provide a broad range of options without being prescriptive. Recognizing that every literature review is unique, this paper contrasts various approaches to offer flexible and adaptable guidance.

Findings

Literature reviews can be enjoyable to read and write, offering a wide range of substantial contributions that meet the expectations of readers and journal editors. This paper offers practical suggestions for prospective authors to make their reviews more relevant, invaluable and engaging, and summarizes these suggestions in a comprehensive checklist.

Research limitations/implications

The paper is not exhaustive but rather complements prevalent literature review methodologies.

Originality/value

Existing literature offers limited guidance on enhancing a review’s contribution to science, academic inquiry and society. This paper fills that gap by providing both academic considerations and practical recommendations, drawing on the author’s extensive experience in reviewing and conducting literature reviews.
Aligning working‐class interests and preferences: The case of inheritance tax
Authors: Eidheim Marta R.
Published: July 2024

This article addresses a lack of alignment between the material interests and economic preferences of the working class. It argues that the link between class interest and support for specific economic policies that benefit the working class becomes stronger when it is made clear that the policy targets the rich. Working‐class support for the repealed and unpopular inheritance tax in Norway is chosen as a hard test of this argument. Employing two straightforward survey experiments, this article demonstrates that clarifying who will pay the tax raises support in general and is especially important for ensuring the support of the working class. Further analysis shows that class differences, when the tax is explicitly redistributive, can be accounted for by general redistributive orientation. Additionally, differences in education levels partly explain why clearer class differences in tax support are not observed. This study underscores the importance of considering both the demand and supply sides when examining the economic preferences of social classes and highlights that clearly formulating who pays the tax is crucial for garnering support from working‐class voters.
Monoglyceride‐based oleogel and oleofoam as the fat substitute in fat‐reduced ice creams: The relation between partial coalescence degree and quality characteristics
Authors: Du Liyang , Meng Zong
Published: July 2024

Nowadays, consumers are interested in low‐fat ice creams. The potential of monoglyceride‐based oleogel and oleofoam as fat replacers in ice cream production was explored. Ice cream with 50% oleogel possessed appropriate partial coalescence degree (PCD, 44.17%), complete network structure endowed ideal qualities and the generation of perceived creaminess. Increasing oleogel substitution level (100%) resulted in a higher PCD (60.20%), a decreased overrun (35.43%), and a decline in quality due to larger ice crystal formation. Fifty per cent oleofoam promoted higher viscosity and structural strength of ice cream mix, but excessive coalescence (72.83%) caused the formation of large fat aggregates in ice cream.
Assessing the predictors for paediatric intensive care unit for inter‐hospital transfer patients on high‐flow nasal cannula or continuous positive airway pressure ventilation at a tertiary Australian paediatric hospital
Authors: Astle Valerie , Borland Meredith Louise , Betts Kim , Erickson Simon , Gowen Belinda
Published: July 2024

Objective

The aim of the present study was to assess the predictors of need for paediatric intensive care unit (PICU) admission for inter‐hospital transfer patients to a tertiary paediatric hospital ED on high flow (HF) or continuous positive airway pressure (CPAP) ventilation.

Methods

Single‐centre retrospective study of patients transferred to the state's tertiary paediatric hospital. Demographic information and disease management information was obtained.

Results

Between October 2021 and September 2022, 53 patients were transferred to the tertiary hospital on HF or CPAP. Of these, 23 required admission to PICU. Those admitted to PICU had a higher median fraction of inspired oxygen than those not admitted (0.4 vs 0.3, respectively, P = 0.013). Patients transported by road (vs flight) were more likely (20/23 patients, RR = 3.15, P = 0.016) to be admitted to PICU (56% vs 18%). Those who had received CPAP prior to or during transfer were more likely to require PICU admission (P = 0.012).

Conclusion

We have demonstrated that children who require CPAP to manage their respiratory disease are more likely to require PICU care on transfer to the tertiary paediatric hospital. In addition, those patients being transferred from secondary metropolitan hospitals after a trial of HF are also likely to require PICU care. This suggests that these patients should be directly admitted to PICU, allowing for improved patient experience and flow as well as reducing unnecessary ED resource utilisation.