bluuebunny/crossref_metadata_2025_split huggingface dataset:
Family matters: social support, parental stress, and psychological symptoms
Authors: Carvalhais Lénia , Alho Laura , Paulino Mauro , Vagos Paula 
Published: February 2025

Purpose
Social support has been suggested to reduce psychological symptomatology, especially when facing stressful events. However, less is known about the underlying mechanisms through each social support from different sources may interact with parental stress in protecting parents’ symptomatology.

Design/methodology/approach
A cross-sectional study was conducted online using the Depression, Anxiety, and Stress Scale, the Parental Stress Scale and the Multidimensional Scale of Perceived Social Support with 108 Portuguese parents of children attending Grades 1–9. Using a path analysis approach, we explored a mediating model with perceived social support as a factor that could reduce stress, anxiety, and depression directly, and indirectly by lessening perceived parental stress.

Findings
Social support, particularly from family, was the only significant predictor of lower levels of stress and depression. Alternatively, social support from family had only an indirect effect on anxiety connected with parental stress, particularly in the areas of fear and anguish.

Originality/value
These findings provide a comprehensive understanding of the relationship between perceived social support, parental stress, and psychological symptomatology. They can also be used to develop relevant psychological intervention actions and to reinforce ways of strengthening social support—particularly from family—to make it continuously available to parents managing stressful situations.
Technology-driven sustainable tourism destinations: perspectives from key policymakers
Authors: Socratous Maria , Thrasyvoulou Georgia , Stylianou Christiana 
Published: February 2025

PurposeThis paper aims to explore how technological developments can position Cyprus at the forefront of sustainable tourism through the perspectives of key policymakers. It examines the potential impacts, challenges and opportunities of integrating technological developments in the Cyprus tourism industry.Design/methodology/approachA qualitative research methodology was employed, using a focus group comprising nine key policymakers from the tourism industry in Cyprus. A thematic analysis was conducted on the collected data.FindingsThe findings underscore significant challenges in implementing technological advancements in Cyprus, including the need for substantial investments, bureaucratic processes and reliance on outdated systems. However, there is a clear recognition of the importance of technological developments, with many innovative ideas being proposed to overcome obstacles and drive progress in sustainable tourism.Originality/valueThis paper provides a unique perspective by focusing on the role of technology in promoting sustainable tourism in Cyprus through the lens of key policymakers. Its value lies in exploring specific challenges and opportunities in integrating technology into the tourism sector, particularly within the context of a small island nation. The study offers practical solutions for overcoming barriers, emphasising the importance of stakeholder collaboration and investment in technological advancements to enhance Cyprus as a destination that has many aspects to offer in sustainable tourism.
Inclusion‐based rock‐physics modelling approach with connected‐porosity coefficient estimation for shale reservoirs
Authors: Zhai Hong‐Yu , Li Zheng , Guo Qiang , Zhang Wei 
Published: February 2025

AbstractRock‐physics modelling provides theoretical basis for predicting elastic and anisotropy parameters from petrophysical properties. However, shale rocks usually develop complex pore structures, wherein isolated and connected pores or cracks may coexist. Conventional methods that assume either isolated or connected pores have limited applicability to shale reservoirs. To this end, this work proposes a shale rock‐physics modelling method to address pore complexities. In specific, the proposed method combines inclusion‐based and Brown–Korringa models to consider both isolated and connected pores in shales. Connected‐porosity coefficient is introduced in the modelling to balance the effects of the two pore types. To better handle pore complexities and improve modelling accuracy, the coefficient and pore aspect ratio are jointly estimated from measured vertical P‐ and S‐wave velocities with a global optimization algorithm. Numerical analysis is performed to analyse the general effects of connectivity and pore geometry on elastic properties of shales. The proposed method is applied to a well data from the Longmaxi shale reservoir in southwest China. The method is also compared with two other methods to show its capability of predicting elastic properties with satisfactory accuracy. The estimated connected‐porosity coefficient also facilitates the characterization of velocity anisotropy to some degree.
Temporal and Spatial Dynamics of Synechococcus Clade II and Other Microbes in the Eutrophic Subtropical San Diego Bay
Authors: Harding Katie J. , Nagarkar Maitreyi , Wang Maggie , Ramsing Kailey , Anidjar Niv , Giddings Sarah , Brahamsha Bianca , Palenik Brian 
Published: February 2025

ABSTRACTThe diversity of the marine cyanobacterium Synechococcus can be broadly separated into clades, with clade II typically present in warm oligotrophic water, and clades I and IV found in cooler coastal water. We found amplicon sequence variants (ASVs) belonging to clade II in the nutrient‐replete waters of San Diego Bay (SDB). Using the 16S rRNA gene, 18S rRNA gene and internal transcribed spacer region sequencing, we analysed multiple locations in SDB monthly for over a year, with additional samples dating back to 2015. Synechococcus community composition differed from the nearby coast into SDB in terms of dominant clade and ASVs. Specific clade II ASVs became relatively more abundant towards the back of the bay and showed seasonality, with higher relative abundance in the warm months. Select ASVs group phylogenetically and show similar seasonal and spatial distribution patterns, indicating these ASVs have adapted to SDB. Isolates matching clade II ASVs from SDB show pigment composition that is better adapted to the green light available in SDB, further supporting our findings. Other microbial taxa also show SDB enrichment, providing evidence that SDB is a chemostat‐like environment where circulation, temperature, light and other environmental conditions create a zone for microbial evolution and diversification.
Genetic Transfer in Action: Uncovering DNA Flow in an Extremophilic Microbial Community
Authors: Van Etten Julia , Stephens Timothy G. , Bhattacharya Debashish 
Published: February 2025

ABSTRACTHorizontal genetic transfer (HGT) is a significant driver of genomic novelty in all domains of life. HGT has been investigated in many studies however, the focus has been on conspicuous protein‐coding DNA transfers that often prove to be adaptive in recipient organisms and are therefore fixed longer‐term in lineages. These results comprise a subclass of HGTs and do not represent exhaustive (coding and non‐coding) DNA transfer and its impact on ecology. Uncovering exhaustive HGT can provide key insights into the connectivity of genomes in communities and how these transfers may occur. In this study, we use the term frequency‐inverse document frequency (TF‐IDF) technique, that has been used successfully to mine DNA transfers within real and simulated high‐quality prokaryote genomes, to search for exhaustive HGTs within an extremophilic microbial community. We establish a pipeline for validating transfers identified using this approach. We find that most DNA transfers are within‐domain and involve non‐coding DNA. A relatively high proportion of the predicted protein‐coding HGTs appear to encode transposase activity, restriction‐modification system components, and biofilm formation functions. Our study demonstrates the utility of the TF‐IDF approach for HGT detection and provides insights into the mechanisms of recent DNA transfer.
Antibiotic Economies: The Economisation of Antibiotic Use in Australia and Implications for the Mitigation of Antimicrobial Resistance
Authors: Davis M. , Schermuly A. , Rajkhowa A. , Thursky K. , Warren N. , Flowers P. 
Published: February 2025

AbstractThis paper examines how economic rationalities shape antibiotic usage with the aim of expanding options for the reduction of antimicrobial resistance (AMR). Antibiotic usage is typically attributed to the individual behaviours of patients, pet owners and prescribers, an emphasis that has neglected sociological explanations, particularly the economic rationalities that are transforming healthcare. We used sociological theory of pharmaceutical capitalisation and economisation to explore in‐depth interviews on antibiotic usage with scientists, policymakers, prescribers, patients and pet owners in Australia. Antibiotics attracted values in terms of cost to the patient and pet owner, profit for the clinic, how the drugs saved time away from work and childcare, and how they eased the pressures of self‐care, parenting and pet ownership. Economic transactions that are only partially under individual patient and prescriber control shape antibiotic use. In these circumstances, antibiotic use is influenced by other social agents—for example, business managers and clinic owners—decentring prescriber authority. Adoption of socio‐economic values of antibiotic usage and inclusion of its other economic agents is needed to improve AMR intervention effectiveness.
Cancer Survivorship and the Significance of an Integrated Diachronic Life Course Perspective
Authors: Tieu Matthew 
Published: February 2025

ABSTRACTStandardised health care is primarily focused on remediation and delivered episodically through costly and fragmented health‐care systems. Such an approach is untenable, given the diversity and complexity of peoples' health‐care needs, increasing prevalence of chronic disease and existing heath inequities. A life course perspective fundamentally challenges our current understanding of health care and has great potential to promote innovation in health‐care practice, systems and policy. However, the way that health develops and manifests across the life course is a highly complex process underpinned by a plethora of causal antecedents, consequences and interdependencies that have yet to be adequately captured and articulated in current life course frameworks. The field of cancer survivorship and its recent rise to prominence provides a highly relevant and compelling case example to inform development and refinement of existing life course frameworks. Cancer survivorship exemplifies what can be described as an integrated diachronic life course perspective, which serves as a conceptual framework to enhance our understanding of health development across the life course and guide health‐care practice, systems and policy to meet the increasingly complex health‐care needs of current and future generations.
Bamboozle: A Bioinformatic Tool for Identification and Quantification of Intraspecific Barcodes
Authors: Pinder Matthew I. M. , Andersson Björn , Blossom Hannah , Svensson Marie , Rengefors Karin , Töpel Mats 
Published: February 2025

ABSTRACTEvolutionary changes in populations of microbes, such as microalgae, cannot be traced using conventional metabarcoding loci as they lack intraspecific resolution. Consequently, selection and competition processes among strains of the same species cannot be resolved without elaborate isolation, culturing, and genotyping efforts. Bamboozle, a new bioinformatic tool introduced here, scans the entire genome of a species and identifies allele‐rich barcodes that enable direct identification of different genetic strains from a population using amplicon sequencing of a single DNA sample. We demonstrate its usefulness by identifying hypervariable barcoding loci (< 500 bp) from genomic data in two microalgal species, the diploid diatom Skeletonema marinoi and the haploid chlorophyte Chlamydomonas reinhardtii. Across the two genomes, four and twenty‐two loci, respectively, were identified that could in silico resolve all analysed genotypes. All of the identified loci are within protein‐coding genes with various metabolic functions. Single nucleotide polymorphisms (SNPs) provided the most reliable genetic markers, and among 54 strains of S. marinoi, three 500 bp loci contained, on average, 46 SNPs, 103 strain‐specific alleles, and displayed 100% heterozygosity. This high level of heterozygosity was identified as a novel opportunity to improve strain quantification and detect false positive artefacts during denoising of amplicon sequences. Finally, we illustrate how metabarcoding of a single genetic locus can be used to track abundances of S. marinoi strains in an artificial selection experiment. As future genomic datasets become available and DNA sequencing technologies develop, Bamboozle has flexible user settings enabling optimal barcodes to be designed for other species and applications.
calibrar: An R package for fitting complex ecological models
Authors: Oliveros‐Ramos Ricardo , Shin Yunne‐Jai 
Published: February 2025

Abstract

The fitting or parameter estimation of complex ecological models is a challenging optimisation task, with a notable lack of tools for fitting complex, long runtime or stochastic models.

calibrar is an R package that is dedicated to the fitting of complex models to data. It is a generic tool that can be used for any type of model, especially those with non‐differentiable objective functions and long runtime, including individual or agent based models.

calibrar supports multiple phases and constrained optimisation, includes 20 optimisation algorithms, including derivative‐based and heuristic ones. It supports any type of parallelisation, the capability to restart interrupted optimisations for long runtime models and the combination of different optimisation methods during the multiple phases of a calibration.

User‐level expertise in R is necessary to handle calibration experiments with calibrar, but there is no need to modify the model's code, which can be programmed in any language. It implements maximum likelihood estimation methods and automated construction of the objective function from simulated model outputs. For more experienced users, calibrar allows the implementation of user‐defined objective functions.

The package source code is fully accessible and can be installed directly from CRAN.
Biosimilars for Australian Dermatologists
Authors: Li Grace X. , Marabani Mona , Sebaratnam Deshan F. 
Published: February 2025

ABSTRACTBiosimilars offer the potential for substantial cost savings within the Australian healthcare system. This is particularly salient in dermatology, where biologics are used to treat chronic skin diseases and cost savings will be accrued throughout the life of a patient. However, uptake of biosimilars in clinical practice has been hindered by barriers including insufficient clinician education, concerns about safety and efficacy, and negative patient perception. Increased availability of biosimilars promotes long‐term sustainability of the Pharmaceutical Benefits Scheme and may help maintain equitable access to healthcare across Australia.
Parental perceptions of economic inequality and investment in children's organized extracurricular activities: The influences of perceived child competition and expected educational returns
Authors: Zhang Yifan , Wang Tianxin , Yang Shuting , Sun Xiaomin , Yang Yiyin 
Published: February 2025

AbstractEscalations in parental investments in organized extracurricular activities (OEAs) have garnered significant interest from both scholars and policymakers. The current study investigates the relationship between parental perceived economic inequality and parental investment in OEAs while also considering the potential mediating role of parental perceived competition among children and the moderating role of the expected return to education. Study 1 analysed two waves of data from the China Family Panel Studies Project (n = 1516) and found that parental perceived economic inequality was significantly and positively related to parents' investment behaviours 2 years later. Study 2 classified OEAs into two categories, academic‐oriented OEAs and nonacademic‐oriented OEAs, and recruited 232 Chinese parents whose children were in elementary school from grades 3 to 6. The Results indicated that the direct effect of parental perceived economic inequality, the mediating role of perceived competition among children, and the moderating role of the expected return to education on the direct effect were confirmed for academic‐oriented OEAs but not for nonacademic‐oriented OEAs. These results offer novel insights into the dynamics of educational fervour in regions marked by pronounced economic disparities.
The effects of source credibility and content objectivity on pro‐environmental post engagement on social media: A case study of Chinese TikTok (Douyin)
Authors: Jiang Zixiao , Wang Bo , Cheng Dawei , Lou Fangyuan , Wang Ziao 
Published: February 2025

AbstractSocial media has become a primary channel for disseminating environmental information aimed at raising pro‐environmental awareness. Post engagement plays a crucial role in effective information dissemination; therefore, environmentalists, government organizations and environmental protection agencies are increasingly focusing on enhancing pro‐environmental post engagement on social media. This study applies the heuristic‐systematic model to examine the effects of source credibility—a heuristic cue—and content objectivity—a systematic cue—on pro‐environmental post engagement. Using 700 short videos from the Chinese TikTok (Douyin) platform, we empirically tested the proposed model. The results show that source credibility positively influences pro‐environmental post engagement, whereas content objectivity negatively impacts pro‐environmental post engagement, with a more significant effect than source credibility. Furthermore, this study reveals that content objectivity weakens the relationship between source credibility and pro‐environmental post engagement. These findings provide empirical support for the attenuation effect in the heuristic‐systematic model, demonstrating that when heuristic and systematic cues exert opposing influences on post engagement, systematic processing inhibits heuristic processing.
‘Once an Army man always an Army man’: The role of military culture and identity in military to civilian transition
Authors: Sachdev Shivani , Dixit Shikha 
Published: February 2025

AbstractMilitary institutionalization involves internalizing military values, norms and structured behaviours that differ significantly from civilian life, leading to culture shock during the transition. Career experiences in the military imprint behaviours and identities that shape subsequent roles and how retired officers transition to the civilian world. The present study explored how military culture and identity influence military‐to‐civilian transition difficulty among retired army officers. Fourteen semi‐structured interviews were conducted and analysed using interpretative phenomenological analysis, resulting in three overarching themes: Transition and Contrasting Cultures, Transition and the Role of Military Imprinting and Relearning—Connecting Disparate Cultures. The themes are divided into subthemes that shed light on how veterans navigate cultural disparities, experience identity and ego conflict tribulation and highlight factors that facilitate bridging the military–civilian cultural gap. The study's findings underscore the pivotal influence of military culture and the identity forged within military organizations on veterans' transition experiences. These insights carry significant implications for veterans and reintegration programs. It further offers possible suggestions to enhance transition interventions by addressing psychological distress related to reculturation and identity transition to facilitate smoother integration.
The role of self‐regulated learning in modelling the relationships between learning approaches, FoMO and smartphone addiction among university students
Authors: Gezgin Deniz Mertkan , Türk Kurtça Tuğba , Mihci Can , Lin Chung‐Ying , Griffiths Mark D. 
Published: February 2025

Smartphone addiction (SA) has become a pervasive issue among university students. Therefore, it is important to better understand the conditions under which SA develops. Previous studies indicate that fear of missing out (FoMO), a psychological barrier to behavioural self‐regulation, is often associated with SA risk. In the pedagogical context, poor self‐regulation may manifest as lack of self‐regulated learning skills (SRLSs), which may, in turn, be associated with the adoption of a superficial approach to learning tasks. Therefore, the aim of the present study was to examine and model the associations between deep and surface learning approaches, SRLSs, SA and FoMO among university students. The sample comprised 687 university students, and structural equation modelling (SEM) was used to analyse the data. The results indicated that SLRSs were positively associated with deep learning, and negatively associated with surface learning. It was also shown that higher SRLSs were associated with lower risk of FoMO and SA. However, while SRLSs may help reduce the level of SA among surface learners by helping them overcome FoMO, the same may not be said for students with a deep learning approach, whose reduced risk of SA due to higher SRLSs was not explained through FoMO. Based on the findings, interventions that aim to improve SRLSs appear warranted, as these may help reduce SA.
Practitioner NotesWhat is already known about this topic

Fear of missing out (FoMO) is commonly associated with smartphone addiction (SA) risk.
Smartphone notifications disrupt the learning activities of surface learners and FoMO may be the reason.
FoMO is considered to be a challenge for behavioural self‐regulation.
What this paper adds

Higher levels of self‐regulated learning skills (SRLSs) are associated with deeper approaches to learning.
Although a deeper approach to learning is associated with lower SA risk, a reduction in FoMO is irrelevant in explaining this effect.
As far as surface learners are concerned, better SRLSs are associated with FoMO but are not associated with lower SA risk.
Implications for practice and/or policy

For deep learners, interventions that support the development of SRLSs are advised because these are important not only for fostering a deep approach to learning but also for helping reduce the risk of SA.
Further research is necessary to identify the underlying mechanism by which improved SRLSs are associated with lower SA risk among deep learners.
Further research is necessary to identify factors other than FoMO that may be associated with SA risk among surface learners.