bluuebunny/crossref_metadata_2025_split huggingface dataset:
An assessment of interobserver agreement on lesion size, morphology and clinical phenotype in cutaneous leishmaniasis caused byLeishmania aethiopicain Ethiopia
Authors: Mohammed Amel Beshir , Mohammed Fewzia Shikur , Zewdu Feleke Tilahun , Nigusse Shimelis Doni , Lambert Saba , Marks Michael , Walker Stephen L. , Gadisa Endalamaw ,   SHARP collaboration
Published: December 2024

AbstractIntroductionCutaneous leishmaniasis (CL) remains a major public health challenge, especially in endemic regions like Ethiopia, where an estimated 40,000 new cases occur annually. Effective treatment evaluation for CL relies on consistent clinical assessments, yet variability in lesion descriptions can complicate reliable outcome measures.MethodsWe conducted an inter-reliability study of clinicians’ evaluations of CL lesion morphology and size at ALERT Hospital, Addis Ababa. Twelve clinicians independently examined 12 patients with parasitologically confirmed CL, each clinician assessing lesion morphology, size, and severity.ResultsWe found high consistency in reporting major morphological categories (e.g., plaques) but significant variability in secondary features like dyspigmentation and scale, as well as mucosal involvement. Lesion size measurements showed limited variability, suggesting its reliability as a potential measure for future clinical trials. Disparities in severity assessments highlight the need for a standardized scoring system in CL.DiscussionOur findings underscore the importance of training for consistent, high-quality clinical evaluations of CL and suggests that lesion size could be a reproducible outcome measure in treatment efficacy trials.
Hybrid Atom Tweezer Array of Nuclear Spin and Optical Clock Qubits
Authors: Nakamura Yuma , Kusano Toshi , Yokoyama Rei , Saito Keito , Higashi Koichiro , Ozawa Naoya , Takano Tetsushi , Takasu Yosuke , Takahashi Yoshiro 
Published: December 2024

While data qubits with a long coherence time are essential for the storage of quantum information, ancilla qubits are pivotal in quantum error correction (QEC) for fault-tolerant quantum computing. The recent development of optical tweezer arrays, such as the preparation of large-scale qubit arrays and high-fidelity gate operations, offers the potential for realizing QEC protocols, and one of the important next challenges is to control and detect ancilla qubits while minimizing atom loss and crosstalk. Here, we present the realization of a hybrid system consisting of a dual-isotope ytterbium (Yb) atom array, in which we can utilize a nuclear spin qubit of fermionic Yb171 as a data qubit and an optical clock qubit of bosonic Yb174 as an ancilla qubit with a capacity of nondestructive qubit readout. We evaluate the crosstalk between qubits regarding the impact on the coherence of the nuclear spin qubits from the imaging light for Yb174. For the Hahn-echo sequence with a 399 nm probe and 556 nm cooling beams for Yb174, we observe 99.1(1.8)% coherence retained under 20 ms exposure, yielding a discrimination fidelity of 0.9992 and a survival probability of 0.988. The Ramsey sequence with a 556 nm probe beam shows negligible influence on the coherence, suggesting the potential future improvement of low crosstalk measurements. This result highlights the potential of the hybrid-Yb atom array for midcircuit measurements for ancilla-qubit-based QEC protocols.

Published by the American Physical Society
2024
Dynamic event-triggered attitude synchronization of multi-spacecraft formation via a learning Chebyshev neural network control approach
Authors: Li Genghuan , Jia Qingxian , Wu Yunhua , Liao He , Zheng Zhong 
Published: December 2024

Purpose
This paper aims to investigate the attitude synchronization issue of multi-spacecraft formation flying systems under the limited communication resources.

Design/methodology/approach
The authors propose a distributed learning Chebyshev neural network controller (LCNNC) combining a dynamic event-triggered (DET) mechanism and a learning CNN model to achieve accurate multi-spacecraft attitude synchronization under communication constraints.

Findings
The proposed method can significantly reduce the internal communication frequency and improve the attitude synchronization accuracy.

Practical implications
This method requires the low communication resources, has a high control accuracy and is thus suitable for engineering applications.

Originality/value
A novel DET mechanism-based LCNNC is proposed to achieve the accurate multi-spacecraft attitude synchronization under communication constraints.
Unveiling the landscape of event technology adoption in hospitality and tourism industry: insights from a systematic literature review
Authors: Sjukriana Juke , Hanafiah Mohd Hafiz , Asyraff Muhammad Aliff , Kusumah Galih 
Published: December 2024

PurposeThe purpose of this research is to provide insights into the key trends, challenges and benefits associated with the integration of various event technologies, such as virtual reality (VR) platforms, mobile apps and artificial intelligence (AI) tools. The study explores event technology adoption within the hospitality and tourism industry through a systematic literature review.Design/methodology/approachEmploying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, the study screened 609 articles from Scopus and ScienceDirect, narrowing down to 33 articles for in-depth analysis.FindingsFindings reveal that VR, AI and mobile apps are preferred as they enhance experiences through immersive previews, improved logistics and real-time engagement. Attendee adoption depends on ease of use, perceived benefits, social influence and privacy concerns, while organizers prioritize cost-effectiveness, efficiency and compatibility. Emerging trends like AI, VR and the metaverse are reshaping events, with economic and demographic factors influencing adoption.Research limitations/implicationsThe findings underscore a maturation in research efforts concerning technology adoption in the hospitality and tourism event industry, reflecting the industry’s evolving nature amidst technological advancements and societal shifts, thereby emphasizing the importance of continuous scholarly exploration in this domain.Originality/valueThe study contributes to both theory and practice, guiding future research on technology integration and offering practitioners a framework for effective technology adoption strategies. It synthesizes recent trends and bridges the gap between theory and practical application in adopting event technology.
Resolving the trade comovement puzzle at the margin of global value chains
Authors: Choi Bongseok 
Published: December 2024

PurposeThis paper investigates the crucial role that the trade of intermediate goods plays in elucidating trade-output synchronization. We specifically highlight the significance of incorporating intermediate trade, particularly concerning the dominance of forward linkages in the global value chains (GVCs) of countries producing intermediate goods.Design/methodology/approachWe extend Johnson (2014) international real business cycle (IRBC) model to integrate the foreign value added by intermediate exporters within a forward-linkage GVC.FindingsModel simulations indicate that the trade of intermediate goods accounts for around 31–33% of observed trade-output synchronization. Notably, the inclusion of value-added rents in GVCs within intermediate goods trade boosts the explanatory power to 55%.Research limitations/implicationsAlthough adding input trade information does not replicate the empirical finding enough to resolve the trade-comovement puzzle within the IRBC-style framework, as Johnson (2014) pointed, this might highlight the limitations of the framework itself. The limitations of both our work and Johnson (2014) suggest that a more endogenous mechanism that correlates comovement with trade independently of the correlation between trade and comovement of TFPs should be introduced in the IRBC model.Originality/valueOur paper extends Johnson (2014) IRBC model to incorporate the foreign value added to intermediate trade within forward-linkage GVCs. The model’s explanatory power in resolving the trade comovement puzzle has improved.
Determinants of online cash waqf behavioural intentions for micro enterprises financing: the case of Indonesian Muslim youth
Authors: Alimusa La Ode , Sukmana Raditya , Ratnasari Ririn Tri , Machfud Syafrina , Latif Sahraman D. Hadji 
Published: December 2024

Purpose
This study aims to determine the intention of online cash waqf donations among Indonesian Muslim youth for micro enterprises (MEs) financing. Therefore, the contribution of Muslim youth in supporting MEs can be accelerated to solve some interrelated social and economic issues.

Design/methodology/approach
This study integrates the theory of planned behaviour (TPB) and the technology acceptance model (TAM) partially relevant to research characteristics. A questionnaire survey is used as a data collection approach to acquire responses from 180 Indonesian Muslim youth. The data obtained are analysed using smart partial least squares-structural equation modelling to answer the research hypothesis and obtain conclusions.

Findings
Religiosity, awareness and perceived behavioural control are significant factors determining the intention to donate online cash waqf for MEs financing. Religiosity plays an important role in building attitudes and perceived awareness of Muslim youth’s behaviour and intention to donate online cash waqf for MEs financing.

Research limitations/implications
The analysed factors could be used as guidelines for better planning and implementing digital-based cash waqf marketing strategies for Nazir (waqf institutions). Regulators (Government and National Waqf Board) must provide better regulations for digital waqf platforms and policies for cash waqf financing for MEs. Researchers could investigate the other theory and cash waqf financing model in low-risk MEs’ empowerment. This study will also broaden cash waqf literacy for MEs financing.

Originality/value
To the best of the authors’ knowledge, no previous study addressed the intention of Muslim youth in Indonesia towards online cash waqf to empower MEs. This study develops models by combining TPB and TAM with additional constructs to determine the intention to donate online cash waqf for MEs financing that have been experiencing difficulties accessing banking financing.
Ownership structure and debt allocation within pyramidal business groups
Authors: Chandera Yane 
Published: December 2024

PurposeThis paper examines the relationship between a pyramidal firm’s control-ownership wedge and the amount of its debt relative to the group’s total debt and its likelihood of having guaranteed debt in its capital structure.Design/methodology/approachThe study sample consists of the 200 largest Indonesian companies listed on the Indonesia Stock Exchange for the period 2015–2022. I run baseline regressions and a number of robustness tests, which include two-stage least squares, censored regressions, difference-in-differences and subsample regressions as well as regressions with interaction terms.FindingsThe results show that, within pyramidal business groups, member firms with large control-ownership wedges are associated with less group debt allocation and a higher probability of having guaranteed debt.Originality/valueTo the best of my knowledge, this paper is the first to examine the direct link between a pyramidal firm’s control wedge and its’ proportion of group debt allocation and probability of having guaranteed debt. Therefore, it enriches the theory of tradeoffs within business groups and sheds more insights on the intragroup guarantees literature.
Exploring and modeling cumulative bias and its asymmetry in student evaluations of teaching at a Polish university
Authors: Kopciuszewska Elzbieta , Rybinski Krzysztof 
Published: December 2024

Purpose
This paper aims to investigate the usefulness and validity of student evaluations of teaching (SET) by estimating multiple biases and their cumulative effect, and assessing their implications for evaluating teaching effectiveness.

Design/methodology/approach
The study uses a rich dataset from a Polish university and applies linear and quantile regressions to estimate SET biases, including course difficulty, class size and instructor characteristics. The cumulative effect of these biases is measured, and changes during the COVID-19 pandemic are analyzed to assess their impact on SET scores.

Findings
The cumulative SET bias reaches more than one point on a 1–5 Likert scale, challenging the reliability of raw SET scores. Significant asymmetries exist between low and high SET scores. Poor initial evaluations of a teacher predict future low performance ratings, while top-rated teacher contests are often influenced by chance rather than teaching quality.

Practical implications
The findings suggest universities should discontinue using raw SET scores for faculty evaluation and instead implement adjustments for identified biases. This approach will provide a more accurate measure of teaching performance.

Originality/value
This paper builds on earlier studies that applied econometric frameworks to analyze SET bias predictors and offers a novel, comprehensive assessment of cumulative SET biases and their asymmetries. It is the first to evaluate the effects of multiple SET biases within a single model and the first to document how SET biases intensified during the pandemic, emphasizing the need for significant reform in teaching evaluation practices.
Arctic migrating barnacle geese utilize accommodation fields in a new agricultural staging area
Authors: Seltmann Martin W. , Ylitalo Anna‐Kaisa , Piironen Antti , Store Ron , Heikkinen Juha , Heim Wieland , Piha Markus , Seimola Tuomas , Laaksonen Toni , Forsman Jukka T. 
Published: December 2024

Abstract

The recovery of threatened species after conservation measures can lead to human–wildlife conflicts. One example of such is the recent population growth of the Barnacle Goose Branta leucopsis, a large herbivorous bird. During migration, geese stage in large numbers on agricultural fields in range countries and cause substantial damage to farms. A combination of repelling fields, where geese were chased off by humans, and accommodation fields, which provide refuge sites for foraging geese, has been suggested as an effective management tool to mitigate conflicts.

Using high‐resolution satellite tracking data, we investigated habitat selection of 41 barnacle geese staging in Northern Karelia, Finland, during spring 2021. We estimated relative habitat use by these geese and conducted a fine‐scale analysis of their use of different fields by employing Hidden Markov Models and integrated step‐selection analysis. Fields included normal crop (no goose management), project and other (private and Nature 2000 area) accommodation fields and repelling fields. Project accommodation and repelling fields were established on areas known to have a long history of high grazing pressure by barnacle geese.

We found that behavioural data of geese can be categorized into three different states (static, slow and fast movement). Static and slow states were used for local field selection, fast state for field selection in the regional area, and all states for field selection after leaving a repelling field.

Overall, relative habitat use indicated that geese utilize accommodation fields more than expected by their availability. Integrated step‐selection analyses revealed that geese avoided normal and repelling versus project accommodation fields at the regional scale. At the local scale, they preferred project accommodation fields over all other fields. After leaving a repelling field, geese did not show preference for any accommodation over repelling fields.

Synthesis and application. Geese show individual selection for accommodation fields compared to normal or repelling fields across several scales. Our results suggest that the accommodation field concept—consisting of refuge areas and no‐go areas where geese are repelled from—can help to mitigate the human–wildlife conflict using local stakeholders' knowledge.
Effect of Trade Facilitation on Economic Complexity in Selected African Countries
Authors: Takpara Moukaila Mouzamilou , Djiogap Constant Fouopi , Kouty Manfred , Sawadogo Bouraïma 
Published: December 2024

AbstractRecent research on international trade suggests that economic development and growth occur as countries gain knowledge and learn to produce and export more sophisticated products. This study examines the effect of trade facilitation on economic complexity in selected African countries over the period 2004–2017. It uses four indicators of trade facilitation capturing physical infrastructure, information, and communication technology (ICT), business, and regulatory environment as well as border, and transport efficiency. The empirical analysis using ordinary least square, and the two‐stage least square estimators shows that effective trade facilitation reform targeted particularly at improving ICT as well as border, and transport efficiency enhances economic complexity. The results remain consistent when an alternative estimation strategy is used. These findings offer scope for a reminder that reforms aimed at simplifying border procedures should be implemented and accelerated in African countries.
The Joint Impact of Organizational and Individual Factors on Employees' Green Behavior
Authors: Yang Yue , Xi Guoqian , Chen Qi , Zhang Liming , Zhong Changbiao 
Published: December 2024

ABSTRACTEmployee green behavior is a necessary condition for organizations to achieve sustainable success. Drawing upon self‐determination theory, this paper thoroughly investigates the mechanism through which a synergistic combination of multiple antecedents’ influences employee green behavior via qualitative comparative analysis. The findings reveal that no single factor constitutes a necessary condition for high employees' green behavior. However, organizational identification and green self‐efficacy play crucial roles in fostering such behaviors. We identify three equivalent pathways for promoting employees' green behavior, namely, “synergistic internal and external environmental orientation,” “psychological climate driven by organizational identity,” and “internal environmental orientation under environmental regulation.” Furthermore, this study uncovers the complementary nature of organizational identity and employee self‐efficacy, as well as the substitutability of internal and external environmental orientation. These findings suggest that organizations should focus on fostering a strong organizational identity and enhancing employees' self‐efficacy while maintaining a balance between internal and external environmental orientations to effectively promote green behavior among employees.
Discrete element model construction and dehulling simulation verification based on harvested quinoa grains
Authors: Bai Hongbin , Wu Yingsi , Ma Yiming , Xuan Dezheng , Du Wenliang , Liu Fei , Zhao Xuan 
Published: December 2024

AbstractThe dry dehulling process of quinoa grains faces challenges such as poor visibility and unclear dynamic response characteristics, leading to irrational settings of the shelling process and high losses of the final processed product. Simulation methods provide an effective solution to this issue, with the accuracy of the simulation model being crucial. In this study, using the Experts in Discrete Element Modeling (EDEM) simulation software, based on the biological characteristics and mechanical properties of the grains, a method was proposed to construct a discrete‐element simulation model for the double‐layer bonding of the quinoa grain using the three‐axis spatial coordinates method. The Plackett–Burman method, the steepest rise method and the Box–Behnken method were used to simulate the compression test. The bonding parameters of the quinoa grain were calibrated. The parameters were further validated by constructing a mechanical shear test. Finally, the process of the dehulling quinoa grain was simulated in a dry dehulling equipment. The results showed that the relative error between the simulated and actual maximum compression force of the quinoa grains was 0.32%. The breaking shear force in the simulation had a relative error of no more than 5% compared to the actual measurements. In the simulation, the dehulling rate and broken rice rate were 78.54% and 1.38%, respectively, which exceeded the bench test values (75.32% for dehulling rate and 1.24% for broken rice rate) by 3.22% and 0.14%, respectively. The error was within the acceptable range. The calibration of the discrete element model parameters for quinoa grains was accurate, reflecting the mechanical properties differences between the rice and the pericarp effectively, providing a reliable basis for optimizing the design of dry dehulling mechanisms.
Traditional uses, phytochemistry, pharmacology, and nutraceutical potential of horse gram (Macrotyloma uniflorum): A systematic review
Authors: Oli Pooja , Joshi Kuldeep , Punetha Shailaja 
Published: December 2024

AbstractMacrotyloma uniflorum is known for being a rich source of protein, fat, fiber, carbohydrates, vitamins, and micronutrients. Since ancient times, it has been used as a pulse and traditional remedy in the Himalayan Mountains for curing kidney and bladder stones, bronchitis, asthma, piles, leukoderma, and heart diseases. Horse gram contains bioactive compounds such as phenolic acids, flavonoids, and tannins, which contribute to its health advantages. These bioactive compounds demonstrated antioxidant, antidiabetic, anti‐inflammatory, anticarcinogenic, antimicrobial, antidiarrheal, and neuroprotective effects. These horse gram products are now considered superfoods and are widely utilized in worldwide cuisines. Horse gram and its crude extracts or fractions have been shown to exhibit a wide range of in vivo and in vitro pharmacological and nutraceutical properties. However, there is currently a scarcity of structure‐activity investigations of isolated compounds and mechanistic research on this species. This review demonstrates that horse gram, despite its traditional usage by diverse cultures, has a profusion of bioactive chemicals with a wide range of biological effects that might be employed as biopharmaceuticals and adopted by nutraceutical industries. This study focuses on the thorough phytochemistry, folk medicinal applications, and pharmacological properties of this versatile legume plant. Furthermore, we discussed the value of plants as a source of functional foods and nutraceuticals.