bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sky-Worker: a heterogeneous dual-arm robot with dynamic authority assignment for live-line working
Authors: Li Yanghong , Wang Yahao , Chen Yutao , Rong X.W. , Zhao Yuliang , Wu Shaolei , Dong Erbao 
Published: February 2024

Purpose
The current difficulties of distribution network working robots are mainly in the performance and operation mode. On the one hand, high-altitude power operation tasks require high load-carrying capacity and dexterity of the robot; on the other hand, the fully autonomous mode is uncontrollable and the teleoperation mode has a high failure rate. Therefore, this study aims to design a distribution network operation robot named Sky-Worker to solve the above two problems.

Design/methodology/approach
The heterogeneous arms of Sky-Worker are driven by hydraulics and electric motors to solve the contradiction between high load-carrying capacity and high flexibility. A human–robot collaborative shared control architecture is built to realize real-time human intervention during autonomous operation, and control weights are dynamically assigned based on energy optimization.

Findings
Simulations and tests show that Sky-Worker has good dexterity while having a high load capacity. Based on Sky-Worker, multiuser tests and practical application experiments show that the designed shared-control mode effectively improves the success rate and efficiency of operations compared with other current operation modes.

Practical implications
The designed heterogeneous dual-arm distribution robot aims to better serve distribution line operation tasks.

Originality/value
For the first time, the integration of hydraulic and motor drives into a distribution network operation robot has achieved better overall performance. A human–robot cooperative shared control framework is proposed for remote live-line working robots, which provides better operation results than other current operation modes.
Transactive memory systems in superteams: the effect of an intelligent assistant in virtual teams
Authors: McWilliams Denise J. , Randolph Adriane B. 
Published: February 2024

PurposeResearchers explore the impact of an intelligent assistant in virtual teams by applying the theoretical lens of a transactive memory system (TMS) to understand the relationships between trust in a specific technology, knowledge sharing and knowledge application.Design/methodology/approachAn online survey was administered to a Qualtrics-curated panel of individual, US-based virtual team members utilizing an intelligent assistant with team collaboration software. Partial least squares structural equation modeling (PLS-SEM) was utilized to examine the hypothesized relationships of interest.FindingsResults suggest that knowledge application is strongly influenced by trust in a specific technology and knowledge sharing. Additionally, a transactive memory system positively increases trust in the intelligent assistant, and similarly, trust in the intelligent assistant has a significant positive relationship with knowledge sharing.Originality/valueThe research model contributes to our understanding of the impact of an intelligent assistant in virtual teams. Although the transactive memory system construct has been explored in various contexts and models, few have explored the impact of an intelligent assistant and trust in a specific technology.
Readiness for green transformation process in healthcare organizations
Authors: Thomas Albi , Suresh M. 
Published: February 2024

Purpose
Green transformation is more than simply a trend; it is a way of life, a set of habits, a field of knowledge and a dedication to resource conservation. Going green is surely a creative and transformative process for both individuals and organizations. This paper aims to “identify,” “analyse” and “categorise” the readiness factors for green transformation process in health care using total interpretive structural modelling (TISM) and neutrosophic-MICMAC.

Design/methodology/approach
To address the study objectives, the study used TISM and neutrosophic-MICMAC analysis. To identify the readiness factors, a literature study was conducted, and the factors were face-validated by the healthcare experts. The factors influence on one another were captured by using a scheduled interview with a closed ended questionnaire. The TISM addressed the identification and analysing of factors and the categorization and ranking the readiness factors is addressed by using neutrosophic-MICMAC analysis.

Findings
This study identified 11 green transformation process readiness factors for healthcare organizations. The study states that the key factors or driving factors are awareness of green governance principle, environment leadership and management, green gap analysis, information and communication technology and innovation dynamics.

Research limitations/implications
The factor ranking is sensitive to the respondents’ ratings. The study relied on the past literature and experts’ opinion may result in the subjective biases. The complex nature of healthcare ecosystem challenges to capture all the factors. The study focussed on Indian hospitals.

Practical implications
Study significantly impacts the healthcare practitioners, academicians and policymakers by providing critical insights into the readiness factors required for the healthcare green transformation process. The study offers a better understanding of the crucial or key or driving factors that aid in embracing green and sustainable practices.

Originality/value
Identifying a gap in conceptual and theoretical frameworks for green transformation readiness factors in healthcare organizations and in Indian context. The study addresses this gap by aiming to create a thorough theoretical framework and highlighted by its focus on Indian hospitals.
Do balanced budget practices of U.S. states make sense? Alternatives from the Eurozone
Authors: Douglas James W. , Raudla Ringa 
Published: February 2024

Purpose The purpose of this article is to challenge the balanced budget practices of U.S. state governments and offer alternatives that may lead to better fiscal, economic and policy outcomes. We contend that the norm of balance may be leading U.S. states to make fiscal decisions that result in less-than-ideal outcomes, especially during economic downturns.Design/methodology/approach This is a normative article. We examine the scholarly evidence regarding balanced budget practices to assess the appropriateness of balanced budget norms. We also examine the fiscal rules followed by Eurozone countries to draw potential lessons for U.S. states.Findings We conclude that state governments should move away from strict norms of budget balance and seek more flexible approaches. We suggest that instead of following strict rules and norms of balance, U.S. states should consider implementing escape clauses, debt and deficit ceilings, and fiscal councils. We also suggest that the Federal Reserve be open to lending directly to states during fiscal crises to ensure that states have access to affordable credit.Originality/value The balanced budget norm has become ingrained in U.S. state budgeting practices, so much so that public officials and scholars alike rarely question it. The novel contribution of our article is to question this practice in a systematic way and propose alternative approaches.
Serving customers through chatbots: positive and negative effects on customer experience
Authors: Ranieri Angelo , Di Bernardo Irene , Mele Cristina 
Published: February 2024

PurposeService research offering a view of both the dark and bright sides of smart technology remains scarce. This paper embraces a critical perspective and examines the conflicting outcomes of smart services on the customer experience (CX), with a specific focus on chatbots.Design/methodology/approachThis study uses empirical research methods to examine a single case study where an online retail service provider implemented a chatbot for customer service. Using discourse analysis, we analysed 7,167 conversations between customers and the chatbot over a two-year period.FindingsThe analysis identifies seven general themes related to the effects of the chatbot on CX: interaction quality, information gathering, procedure literacy, task achievement, digital trust, shopping stress and shopping journey. We illuminate both positive (i.e. having a pleasant interaction, providing information, knowing procedures, improving tasks, increasing trust, reducing stress and completing the journey) and negative outcomes (i.e. having an unpleasant interaction, increasing confusion, ignoring procedures, worsening tasks, reducing trust, increasing stress and abandoning the journey).Originality/valueThe paper develops a comprehensive framework to offer a clearer view of chatbots as smart services in customer care. It delves into the conflicting effects of chatbots on CX by examining them through relational, cognitive, affective and behavioural dimensions.
A systematic literature review on transformative practices and well-being outcomes in healthcare service
Authors: Ungaro Veronica , Di Pietro Laura , Guglielmetti Mugion Roberta , Renzi Maria Francesca 
Published: February 2024

PurposeThe paper aims to investigate the practices facilitating the transformation of healthcare services, understanding the resulting outcomes in terms of well-being and uplifting changes. a systematic literature review (SLR) focusing on analyzing the healthcare sector under the transformative service research (TSR) theoretical domain is conducted to achieve this goal.Design/methodology/approachEmploying a structured SLR developed based on the PRISMA protocol (Pickering and Byrne, 2014; Pickering et al., 2015) and using Scopus and WoS databases, the study identifies and analyzes 49 papers published between 2021 and 2022. Content analysis is used to classify and analyze the papers.FindingsThe SLR reveals four transformative practices (how) within the healthcare sector under the TSR domain, each linked to specific well-being outcomes (what). The analysis shows that both practices and outcomes are mainly patient-related. An integrative framework for transformative healthcare service is presented and critically examined to identify research gaps and define the trajectory for the future development of TSR in healthcare. In addition, managerial implications are provided to guide practitioners.Originality/valueThis research is among the first to analyze TSR literature in the context of healthcare. The study critically examines the TSR’s impact on the sector’s transformation, providing insights for future research and offering a roadmap for healthcare practitioners to facilitate uplifting changes.
Automating hyperparameter optimization in geophysics with Optuna: A comparative study
Authors: Almarzooq Hussain , bin Waheed Umair 
Published: February 2024

AbstractDeep learning has gained attraction amongst geophysicists for solving complex longstanding problems. Nevertheless, proper hyperparameter optimization methodologies remain critically underexplored in geophysical deep learning research. This paper attempts to first highlight the importance of hyperparameter optimization and then showcase two geophysics‐related deep learning examples where a grid search and Optuna framework (an automated optimization approach) were used for hyperparameter optimization. We consider two geophysical problems related to denoising seismic traces and the inversion of seismic traces for velocity information. In both cases, models created based on Optuna hyperparameter optimization were able to perform better than those created through grid search. The most significant advantage of Optuna, however, is having quantifiable results to justify the choice of a neural network architecture, depth and other hyperparameters rather than relying on inefficient methods of exploring the hyperparameter space such as a trial‐and‐error or grid search. This study aims to stimulate further exploration and adoption of these frameworks, pushing the boundaries of current deep learning based geophysical problem‐solving methodologies towards full automation.
Imaging the shallow velocity structure of the slow‐spreading ridge of the South China Sea with downward continued multichannel seismic data
Authors: Jiang Wenbin , Zhang Heng , Li Fuyuan , Zhang Ruwei , Zhang Baojin , Gu Yuan , Wang Lijie 
Published: February 2024

AbstractHigh‐resolution shallow oceanic crust velocity models provide crucial information on the tectonothermal history of the oceanic crust. The ocean bottom seismometers record wide‐angle seismic reflection and refraction data to image deeper structures compared with streamer data set. However, most ocean bottom seismometers experiments produce low‐resolution velocity models with limited shallow crustal structure due to sparse ocean bottom seismometers spacing. Multichannel seismic data recorded by towed streamers provide complementary seismic images of the oceanic crust but yield little information on subseafloor velocity because most subseafloor refractions are masked by seafloor reflections. Therefore, it is difficult to obtain fine‐scale velocity structure of shallow upper oceanic crust with both ocean bottom seismometers and multichannel seismic data. Downward continuation technique redatumed the shots and receivers to the seafloor to collapse the seafloor reflections to the zero offset and extract refractions as first arrivals from nearly zero offset, enabling dense ray coverage at the shallow crust. We applied the downward continuation and traveltime tomography methods to two synthetic models, Marmousi and SEAM Phase I Salt models, to demonstrate the performance of the strategy in the situations of flat seafloor and rough seafloor topography. We conducted the first‐arrival traveltime tomography on downward continued towed‐streamer multichannel seismic data across a slow‐spreading ridge of the South China Sea, providing unprecedented details of shallow velocity structure in the sediments. The low velocity sediments revealed by traveltime tomography match well with the prestack depth migration profile.
Spatial prey availability and pulsed reproductive tactics: Encounter risk in a canid–ungulate system
Authors: Brunet Mitchell J. , Huggler Katey S. , Holbrook Joseph D. , Burke Patrick W. , Zornes Mark , Lionberger Patrick , Monteith Kevin L. 
Published: February 2024

Abstract

Predation risk is a function of spatiotemporal overlap between predator and prey, as well as behavioural responses during encounters. Dynamic factors (e.g. group size, prey availability and animal movement or state) affect risk, but rarely are integrated in risk assessments. Our work targets a system where predation risk is fundamentally linked to temporal patterns in prey abundance and behaviour. For neonatal ungulate prey, risk is defined within a short temporal window during which the pulse in parturition, increasing movement capacity with age and antipredation tactics have the potential to mediate risk.

In our coyote–mule deer (Canis latrans–Odocoileus hemionus) system, leveraging GPS data collected from both predator and prey, we tested expectations of shared enemy and reproductive risk hypotheses. We asked two questions regarding risk: (A) How does primary and alternative prey habitat, predator and prey activity, and reproductive tactics (e.g. birth synchrony and maternal defence) influence the vulnerability of a neonate encountering a predator? (B) How do the same factors affect behaviour by predators relative to the time before and after an encounter?

Despite increased selection for mule deer and intensified search behaviour by coyotes during the peak in mule deer parturition, mule deer were afforded protection from predation via predator swamping, experiencing reduced per‐capita encounter risk when most neonates were born. Mule deer occupying rabbit habitat (Sylvilagus spp.; coyote's primary prey) experienced the greatest risk of encounter but the availability of rabbit habitat did not affect predator behaviour during encounters. Encounter risk increased in areas with greater availability of mule deer habitat: coyotes shifted their behaviour relative to deer habitat, and the pulse in mule deer parturition and movement of neonatal deer during encounters elicited increased speed and tortuosity by coyotes.

In addition to the spatial distribution of prey, temporal patterns in prey availability and animal behavioural state were fundamental in defining risk. Our work reveals the nuanced consequences of pulsed availability on predation risk for alternative prey, whereby responses by predators to sudden resource availability, the lasting effects of diversionary prey and inherent antipredation tactics ultimately dictate risk.
Explaining the gap: Why do Swedish‐speaking minority youth have higher political self‐efficacy than Finnish‐speaking majority youth?
Authors: Hannuksela Venla 
Published: February 2024

AbstractAlthough political self‐efficacy is one of the most important determinants of political participation, little is known about the factors that boost its development or reduce structural differences between different social groups. This study tests three perspectives—socioeconomic background, social capital and supporting school environment—to explain why youth belonging to the Swedish‐speaking minority in Finland have significantly higher political self‐efficacy than those belonging to the Finnish‐speaking majority, despite their minority status. Using the data of 5274 15–16‐year‐old students in a multilevel OLS design, this study indicates that a more open classroom climate in minority schools is an important predictor of the higher political self‐efficacy of the minority youth. The results demonstrate the value of promoting classroom environments where students are encouraged to express their opinions and discuss political issues openly.
The aetiology of maxillofacial trauma in Australia: A scoping review
Authors: Pabbati SSR , Thomson P , Sharma D , Bhandari S 
Published: February 2024

AbstractBackgroundThe oral and maxillofacial complex is subject to a range of traumas. Injuries to the region are devastating and have a great impact on social health outcomes. This review intends to investigate the aetiologies of maxillofacial trauma across Australia.MethodsThis review was written in accordance with the PRISMA‐ScR. Comprehensive searches of CINAHL, MEDLINE, Ovid, Scopus, and Web of Science databases were conducted to identify potentially relevant literature. Quantitative observational epidemiological studies were sought and were required to include at least one aetiology to the maxillofacial region in their data set. A total of 31 eligible studies were included.ResultsThe greatest recorded causes of maxillofacial injuries included inter‐personal violence (34.98%) falls (20.87%), sports (15.62%), and motor‐vehicle accidents (14.31%). These four aetiologies cumulatively accounted for more than 85% of maxillofacial injuries. From all sustained injuries (n = 7661), the orbit was the most prevalent site of fracture (31.85%), followed by the zygoma (22.01%), mandible (21%), nasal bone (12.45%), maxilla (10.04%), dentoalveolus (1.84%), antrum (<1%), and frontal bone (<1%).ConclusionViolence was an unprecedented cause of trauma—additional research is recommended to further characterize the correlation between the two variables. Research is also recommended specifically in regional/rural communities, where data was particularly limited. © 2024 Australian Dental Association.
The case for open research in entomology: Reducing harm, refining reproducibility and advancing insect science
Authors: Cuff Jordan P. , Barrett Meghan , Gray Helen , Fox Charles , Watt Allan , Aimé Emilie 
Published: February 2024

Abstract
Open research is an increasingly developed and crucial framework for the advancement of science and has seen successful adoption across a broad range of disciplines. Entomology has, however, been slow to adopt these practices compared to many adjacent fields despite ethical and practical imperatives to do so.
The grand challenges facing entomology in the 21st century require the synthesis of evidence at global scales, necessitating open sharing of data and research at a pace and scale incompatible with the slow adoption of open research practices. Open science also plays a vital role in fostering trust in research and maximizing use of research outputs, which is ethically crucial for reducing harms to insects.
We outline these imperatives and how open research practices can enhance entomological research across a range of contexts. We also highlight the holistic nature of open science across the full research lifecycle through several specific examples of open research practices, which can be adopted easily by individual entomologists.
We do, however, argue that the responsibility of promoting, integrating and encouraging open research is most crucially held by publishers, including scholarly societies, which have leveraged widespread adoption in adjacent fields. Entomology must advance quickly to become a leading discipline in the open research transition.
Distribution parameters of large mammals and conservation management in an Afrotropical forest landscape and biodiversity hotspot
Authors: Kupsch Denis , Bobo Kadiri Serge 
Published: February 2024

AbstractThough there is consent that poaching is an important driver of wildlife declines in many African forests, we lack a deeper understanding of the factors behind population patterns in Afrotropical landscapes to inform conservation management. We surveyed line transects in four Cameroonian sites of different protection status in 2013/2014, namely Korup National Park, Banyang Mbo Wildlife Reserve, one timber concession and a section of an unprotected agroforestry matrix, and used data from 2007 for trend assessment. We used GLMs to identify predictors for mammal distribution based on a set of variables. While species compositions showed complex trend patterns, it is noteworthy that chimpanzee and elephant abundances declined significantly in the Banyang Mbo Wildlife Reserve. Although landscape management type affected the distribution of most mammal species, anthropogenic or environmental variables were strong predictors. Chimpanzee, elephant and drill abundances were higher at a larger distance to settlements. Vegetation density positively affected a number of species, including chimpanzee and red colobus. Several species were more abundant in rough terrain, probably because of reduced poaching. Our results suggest that protected areas in Southwest Cameroon had a mitigating effect on wildlife declines, mainly due to their remoteness and habitat quality, rather than management interventions.