bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using PLS-SEM and XAI for causal-predictive services marketing research
Authors: Goktas Polat , Dirsehan Taskin 
Published: October 2024

Purpose
This study aims to redefine approaches to metrics in service marketing by examining the utility of partial least squares – structural equation modeling (PLS-SEM) and eXplainable Artificial Intelligence (XAI) for assessing service quality, with a focus on the airline industry.

Design/methodology/approach
Using the Airline Passenger Satisfaction data set from Kaggle platform, this study applies PLS-SEM, facilitated by ADANCO software and XAI techniques, specifically using the SHapley Additive exPlanations TreeExplainer model. This study tests several hypotheses to validate the effectiveness of these methodological tools in identifying key determinants of service quality.

Findings
PLS-SEM analysis categorizes key variables into Delay, Airport Service and In-flight Service, whereas XAI techniques rank these variables based on their impact on service quality. This dual-framework provides businesses a detailed analytical approach customized to specific research needs.

Research limitations/implications
This study is constrained by the use of a single data set focused on the airline industry, which may limit generalizability. Future research should apply these methodologies across various sectors to enhance a broader applicability.

Practical implications
The analytical framework offered here equips businesses with the robust tools for a more rigorous and nuanced evaluation of service quality metrics, supporting informed strategic decision-making.

Social implications
By applying advanced analytics to refine service metrics, businesses can better meet and exceed customer expectations, ultimately elevating the societal standard of service delivery.

Originality/value
This study contributes to the ongoing discourse on artificial intelligence interpretability in business analytics, presenting an innovative methodological guide for applying PLS-SEM and/or XAI in service marketing research. This approach delivers actionable insights, not only in the airline sector but also across diverse business domains seeking to optimize service quality.
How to optimize government R&D budget allocation? A review of recent studies and research gaps
Authors: Alizadeh Parisa , Gholipour Domyeh Mojtaba 
Published: October 2024

Purpose
Research and Development (R&D) activities are important for technological innovation and present opportunities for entrepreneurship. These activities depend on the flow of funding. This paper aims to review approaches used in R&D project selection and budget allocation.

Design/methodology/approach
This study conducts a systematic review, examining the content of 60 relevant papers (spanning 2000–2022) concerning public R&D budget allocation. The analysis focuses on allocation methodology, R&D output evaluation, budget allocation efficiency and the management of uncertainty in the allocation process.

Findings
The systematic review reveals different methods proposed for allocating government R&D budgets. These methods range from classical optimization, multi-criteria analysis and hierarchical analysis to techniques such as balanced scorecard, data envelopment analysis and analytic hierarchy process, including fuzzy approaches. Recent trends indicate an increase in the use of advanced optimization, integration and simulation algorithms. Performance indicators for reflecting R&D project outputs or goals can be categorized into four main groups: output (e.g. publications, patents, graduates), outcome, productivity (e.g. citations, patent references, articles and patents per capita) and sector-specific metrics.

Practical implications
Future research directions in government R&D budget allocation may include optimizing allocation to maximize social, economic and political benefits, developing ranking models, decision-making frameworks, simulations and evaluations of factors influencing allocation type and strategy. Additionally, there is a growing interest in novel budget allocation algorithms leveraging artificial intelligence and self-adjusting meta-heuristic algorithms.

Originality/value
The systematic review showed that some important research gaps in (government) R&D budget allocation could be considered in future studies; for example, long-term social, economic and political benefits in budget allocation optimization models, comprehensiveness of allocating government R&D budgets to universities, higher education and research institutes, R&D budget allocation to strategic technology development, e.g. renewable energy sector, supply chain issues and renewable energy value chain; new budget allocation algorithms based on artificial intelligence and self-adjusting meta-heuristic algorithms; methods for optimizing the structures of government budget allocation to R&D, considering executive and regulatory conflicts.
Rez dogs and reflections: how Decolonizing Methodologies informs Indigenous research
Authors: Griffith Camille , Masta Stephanie 
Published: October 2024

PurposeThe purpose of this paper is to reflect on the role of Linda Tuhiwai Smith's book Decolonizing Methodologies in our work as Indigenous scholars.Design/methodology/approachThis article explores the application of Indigenous-centered research methodologies as outlined by Linda Tuhiwai Smith in Decolonizing Methodologies: Research and Indigenous Peoples. Through the collaborative work of two Indigenous scholars, we examine how traditional academic structures rooted in settler colonialism can be challenged and transformed.FindingsWe did not have findings as this is not a research paper, but a reflection on how we used Tuhiwai Smith's work in the development and implementation of an Indigenous centered research project.Originality/valueThe originality of this submission is that it reflects on how Tuhiwai Smith's work was used in the natural sciences as opposed to just education/social science research.
Elastic least‐squares reverse time migration from topography through anisotropic tensorial elastodynamics
Authors: Konuk Tugrul , Shragge Jeffrey 
Published: October 2024

AbstractLeast‐squares reverse time migration is an increasingly popular technique for subsurface imaging, especially in the presence of complex geological structures. However, elastic least‐squares reverse time migration algorithms face significant practical and numerical challenges when migrating multi‐component seismic data acquired from irregular topography. Many associated issues can be avoided by abandoning the Cartesian coordinate system and migrating the data to a generalized topographic coordinate system conformal to surface topology. We introduce a generalized anisotropic elastic least‐squares reverse time migration methodology that uses the numerical solutions of tensorial elastodynamics for propagating wavefields in computational domains influenced by free‐surface topography. We define a coordinate mapping assuming unstretched vertically translated meshes that transform an irregular physical domain to a regular computational domain on which calculating numerical elastodynamics solutions is straightforward. This allows us to obtain numerical solutions of forward and adjoint elastodynamics and generate subsurface images directly in topographic coordinates using a tensorial energy‐norm imaging condition. Numerical examples demonstrate that the proposed generalized elastic least‐squares reverse time migration algorithm is suitable for generating high‐quality images with reduced artefacts and better balanced reflectivity that can accurately explain observed data acquired from topography in a medium characterized by arbitrary heterogeneity and anisotropy. Finally, the computational cost of our method is comparable to that of an equivalent Cartesian elastic least‐squares reverse time migration numerical implementation.
Transient electromagnetic data denoising based on cluster analysis and locally weighted linear regression
Authors: Wang Cheng , Li Jianhui , Lu Xushan 
Published: October 2024

AbstractIn transient electromagnetic surveys, the collected data inevitably contain noise originating from both natural and cultural sources. This noise has the potential to mask transient electromagnetic responses linked to geological features, thereby posing challenges in accurately interpreting subsurface structures. Hence, the implementation of effective noise reduction techniques is crucial in ensuring the accuracy and reliability of inversion outcomes in transient electromagnetic surveys. This study introduces a novel approach that merges k‐means clustering with locally weighted linear regression to denoise transient electromagnetic data. The results from synthetic examples illustrate that the k‐means locally weighted linear regression method can predict transient electromagnetic data closely resembling true values, similar to the long short‐term memory autoencoder. Occam's inversion results derived from denoised data using both the k‐means locally weighted linear regression and long short‐term memory–autoencoder methods can well reflect the true model. Notably, a key advantage of the k‐means locally weighted linear regression method is its independence from labelled data as the sample set. The k‐means locally weighted linear regression method was applied to field data collected at the Narenbaolige coalfield in Inner Mongolia, China. Occam's inversion models generated from the denoised field data delineate the boundary between the basaltic body and sedimentary rocks, aligning with drilling data. The inversion models derived from the noisy field data also can capture this boundary, but deep section views reveal the presence of numerous intricate high‐resistivity anomalous bodies. These observations highlight the effectiveness of the k‐means locally weighted linear regression method in denoising transient electromagnetic data.
Novel brittleness index construction and pre‐stack seismic prediction for gas hydrate reservoirs
Authors: Yang Wenqiang , Zong Zhaoyun , Liu Xinxin , Qin Dewen , Liu Qingwen 
Published: October 2024

AbstractReservoir transformation is essential for developing gas hydrate reservoirs. Predicting sediment brittleness is key to optimizing drilling design and evaluating engineering sweet spots. Constructing a brittleness index reflecting the brittle mineral content of a rock based on elastic parameters and predicting it using seismic data is a feasible solution for assessing reservoir brittleness. In addition, the elastic brittleness index can characterize the effect of complex pore types, fractures and pore fillings on rock brittleness. With the shallow hydrate reservoir in the sea as the research target. First, a novel brittleness index characterized by multiplying the Lamé parameter () by Poisson's ratio () is proposed. Its superiority in indicating brittle mineral content is verified by a rock‐physics model. Second, a reflection coefficient approximation equation including the novel brittleness index is derived, enabling direct estimation of reservoir brittleness from seismic data. The new brittleness index has proven to better reflect brittle mineral content and effectively indicate the high brittleness characteristics of hydrate reservoirs. The accuracy of the proposed approximate equation is verified by a layered medium model, and the viability of predicting the new brittleness index using seismic data is also theoretically supported by the model test. Finally, the proposed method has obtained favourable results in the application of hydrate work area data collected at the South China Sea, confirming its availability and practicality.
Participation in health promoting occupations among mothers of children aged 3–8 years with and without difficulties in sensory processing
Authors: Doskalovich Maya Baruch , Yochman Aviva , Budman Jennifer R. 
Published: October 2024

AbstractIntroductionParticipation in personally significant occupations often contributes to quality of life. Parenting a child with difficulties in sensory processing may present challenges that can affect subjective and objective components of parental participation, thus possibly decreasing their quality of life. This study aimed to compare these components between mothers of children with and without difficulties in sensory processing and explore their relationship with maternal quality of life.MethodsSeventy mothers of children aged 3–8 years with (50%) and without difficulties in sensory processing completed questionnaires measuring subjective occupational experience, objective frequency of participation in health promoting activities, and quality of life. No consumer or community involvement occurred.ResultsSatisfaction with participation competence as well as objective frequency of participation in health promoting activities among mothers from the study group was found to be significantly lower than the control group. Additionally, a significant moderately strong correlation was found between these variables and the quality of life of all mothers.ConclusionsSubjective and objective participation in health promoting activities is lower in mothers of children with difficulties in sensory processing. Additionally, the quality of life in all mothers was linked to their perceived capability and frequency of engagement in health‐promoting activities. Raising awareness to the experience of mothers of children with challenges in sensory processing may help bring to attention the importance of enhancing mothers' engagement in health‐promoting activities.PLAIN LANGUAGE SUMMARYMothering a child with difficulties in sensory processing can influence parents' emotional states and sense of competence, affecting how mothers take part in activities that support their health and quality of life. In this study, 70 mothers of children aged 3–8, with and without difficulties in sensory processing, were asked about how often they participate in activities that promote their health, their experiences, and about their quality of life. The mothers of children with difficulties in sensory processing felt less confident in their abilities and did fewer activities that support their health. Also, in all the mothers, their quality of life was related to how competent they feel and how often they performed these types of activities. This shows how important it is to support mothers of children with sensory processing difficulties helping them feel confident and join in activities that support their health. It is a reminder that family‐focussed intervention is key to making sure mothers are doing well too.
Metagenomics reveal the potential for geosmin and 2‐methylisoborneol production across multiple bacterial phyla in recirculating aquaculture systems
Authors: Zheng Dan , Wilén Britt‐Marie , Öberg Ola , Wik Torsten , Modin Oskar 
Published: October 2024

AbstractGeosmin and 2‐methylisoborneol (MIB) are known to cause taste‐and‐odour problems in recirculating aquaculture systems (RAS). Both geosmin and MIB are microbial metabolites belonging to terpenoids. Precursors for terpenoids are biosynthesized via the methylerythritol phosphate (MEP) and the mevalonate (MVA) pathways. We carried out a metagenomic analysis of 50 samples from five RAS to investigate terpenoid biosynthesis and metabolic potential for geosmin and MIB production in RAS microbiomes. A total of 1008 metagenome‐assembled genomes (MAGs) representing 26 bacterial and three archaeal phyla were recovered. Although most archaea are thought to use the MVA pathway for terpenoid precursor biosynthesis, an Iainarchaeota archaeal MAG is shown to harbour a complete set of genes encoding the MEP pathway but lacking genes associated with the MVA pathway. In this study, a total of 16 MAGs affiliated with five bacterial phyla (Acidobacteriota, Actinobacteriota, Bacteroidota, Chloroflexota, and Myxococcota) were identified as possessing potential geosmin or MIB synthases. These putative taste and odour producers were diverse, many were taxonomically unidentified at the genus or species level, and their relative abundance differed between the investigated RAS farms. The metagenomic study of the RAS microbiomes revealed a previously unknown phylogenetic diversity of the potential to produce geosmin and MIB.
A cost‐effectiveness analysis of stereotactic ablative radiotherapy versus conventionally fractionated radiotherapy in the management of stage 1 non‐small‐cell lung cancer: Results from the TROG 09.02 CHISEL study
Authors: Byrne Adam , De Abreu Lourenco Richard , Govindaraj Ramkumar , Ball David , Le Hien 
Published: October 2024

AbstractIntroductionStereotactic ablative radiotherapy (SABR) is a standard of care treatment for medically inoperable early‐stage non‐small‐cell lung cancer (NSCLC). The CHISEL trial was a phase 3 randomised controlled trial that compared SABR to conventional radiation therapy (CRT). Using patient‐level data, we compared the cost‐effectiveness of SABR and CRT for early‐stage NSCLC.MethodsData on treatment exposure, outcomes (recurrence, survival) and quality of life (QoL; EORTC QLQ‐C30) were sourced from the trial. Quality‐adjusted life years (QALYs) were estimated for the trial period using Australian utility weights for the EORTC QLQ‐C30‐derived QLU‐C10D. Costs related to simulation, planning, delivery, verification and post‐treatment monitoring were estimated by applying Australian Medicare Benefits Schedule fees. The costs of post‐progression therapy and grade ≥3 toxicity were estimated using trial data and relevant literature sources. Cost‐effectiveness was investigated as the incremental cost per QALY gained for SABR compared to CRT.ResultsComplete QoL data were available for 21 patients: 14 in the SABR arm and 7 in the CRT arm. Mean QALYs discounted at 5% per annum were similar between arms: 12.68 months for SABR and 12.12 months for CRT. The mean costs of delivering SABR and CRT were $4763 and $6817, respectively. The costs of monitoring were similar in both arms, $4856 and $4853 for SABR and CRT. The mean costs of post‐progression therapy were $24,572 for SABR and $42,801 for CRT. The mean costs of grade ≥3 toxicity were $809 in the SABR arm and $132 in the CRT arm. Therefore, the total mean cost for SABR over the period of interest was lower for SABR than CRT. Given lower mean costs and numerically higher QALYs for SABR compared with CRT, an incremental cost‐effectiveness ratio was not calculated.ConclusionCompared to CRT, SABR is a cost‐effective treatment for early‐stage NSCLC as the estimated upfront treatment cost and the cost of subsequent care are lower for SABR for comparable mean QALYs. Assessment of the lifetime QALYs and projections of cost estimation will provide a better indication of the long‐term cost‐effectiveness of SABR.
The developing immune system in preterm born infants: From contributor to potential solution for respiratory tract infections and wheezing
Authors: van Duuren Inger C. , van Hengel Oscar R. J. , Penders John , Duijts Liesbeth , Smits Hermelijn H. , Tramper‐Stranders Gerdien A. 
Published: October 2024

AbstractModerate‐late preterm‐born infants experience more frequent and severe respiratory tract infections and wheezing compared to term‐born infants. Decreasing the risk on respiratory tract infections and wheezing in this group is vital to improve quality of life and reduce medical consumption during infancy, but also to reduce the risk on asthma and COPD later in life. Until now, moderate‐late preterm infants are underrepresented in research and mechanisms underlying their morbidity are largely unknown, although they represent 80% of all preterm‐born infants. In order to protect these infants effectively, it is essential to understand the role of the immune system in early life respiratory health and to identify strategies to optimize immune development and respiratory health. This review elaborates on risk factors and preventative measures concerning respiratory tract infections and wheezing in preterm‐born infants, exploring their impact on the immune system and microbiome. Factors discussed are early life antibiotic use, birth mode, feeding type and living environment. Further, differences in adaptive and innate immune maturation between term and preterm infants are discussed, as well as differences in local immune reactions in the lungs. Finally, preventative strategies are being explored, including microbiota transplantation, immune modulation (through pre‐, pro‐, syn‐ and postbiotics, bacterial lysates, vaccinations, and monoclonal antibodies) and antibiotic prophylaxis.
Letter: Zinc and selenium—Potential biomarkers for chronic liver disease?
Authors: Li Zhuo , Dai Hao‐Ran 
Published: October 2024

LINKED CONTENTThis article is linked to Dominik et al papers. To view these articles, visit https://doi.org/10.1111/apt.18179 and https://doi.org/10.1111/apt.18324.
Acoustic evaluation of voice signal distortion by videoconferencing platforms and devices used in telepractice for cleft palate
Authors: Tajiri Shiho , Hidaka Shunsuke , Takehisa Shuhei , Hasegawa Sachiyo , Ohyama Yukiko , Yamada Tomohiro 
Published: October 2024

AbstractThe usefulness and effectiveness of telepractice have been reported in recent years. Treatment of cleft palate patients with compensatory articulation is based on perceptual identification. Telepractice using videoconferencing platforms causes voice signal distortion and impacts auditory‐perceptual perception. This study aimed acoustically examine voice signal distortion and determine the optimal videoconferencing platforms, in addition to the phonemes that can be discriminated with the same quality as in face‐to‐face interactions. ATR503 with 50 phoneme‐balanced Japanese speech sentences was used as a reference corpus. Four videoconferencing platforms, —Zoom, Cisco Webex, Skype, and Google Meet, —and five devices, —iPhone, Android, iPad Air, Windows, and MacBook Pro were used as transmission conditions to examine voice signal distortions with the objective measure log‐spectral distortion (LSD). Tukey's test was conducted to evaluate the degree of consonant distortion related to voicings (voiceless and voiced), places of articulation (bilabial, alveolar, alveolo‐palatal, palatal, velar, labial‐velar, and glottal), and manners of articulation (plosive, fricative, affricate, tap or flap, nasal, and approximant). With statistically significant differences, voiced, bilabial, labial‐velar, nasal, and plosive consonants exhibited smaller distortions. In contrast, voiceless, alveolo‐palatal, fricative, and affricate consonants exhibited larger distortions. Google Meet exhibited the lowest distortion among videoconferencing platforms and MacBook exhibited the lowest distortion among devices. This study provides significant insights into the telepractice strategies with the appropriate videoconferencing platform and device, and useful settings for cleft palate patients with compensatory articulations with respect to acoustics.