bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diagnostic Value of Surveillance 18F-FDG PET/CT in Head and Neck Squamous Cell Carcinoma After Curative Therapy
Authors: Whi Wonseok , Moon Seung Hwan , Oh Dongryul , Chung Man Ki , Jeong Han-Sin , Ahn Myung Ju , Choi Joon Young 
Published: December 2024

Purpose
This study aimed to evaluate the diagnostic performance of surveillance FDG PET/CT for detection of clinically unexpected recurrent disease or second primary malignancy in head and neck squamous cell carcinoma (HNSCC) patients who underwent curative treatment.

Patients and Methods
We conducted a retrospective analysis of 739 consecutive patients with HNSCC who underwent 2396 surveillance FDG PET/CT scans. Surveillance FDG PET/CT scans were defined as routine follow-up scans after curative therapy without suspicion of recurrence. The diagnostic performance of FDG PET/CT was evaluated based on sensitivity, specificity, positive predictive value, negative predictive value, and accuracy.

Results
Of the 2396 surveillance FDG PET/CT scans, 119 (5.0%) showed positive findings, with 93 (78.1%) confirmed as true-positives. True-positive detections included locoregional metastases, distant metastases, or second primary malignancies. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 97.9%, 98.9%, 78.2%, 99.9%, and 98.8%, respectively. The incidence of recurrence was significantly greater in patients initially diagnosed with stage IVA disease (P = 0.03) and for which 5 or more years had elapsed since treatment (P < 0.001) than in other subgroups. However, no significant differences in diagnostic performance were observed across subgroups divided by tumor location, disease stage, treatment modality, or time since treatment.

Conclusions
Surveillance FDG PET/CT showed excellent diagnostic performance for detection of clinically unexpected recurrent disease or second primary malignancies in patients with HNSCC after curative therapy. The frequency and duration of surveillance could be adjusted based on the initial disease stage to optimize early detection and intervention.
Fostering consumers’ intention to purchase energy-efficient appliances in an emerging market
Authors: Puspanathan Kalai Chelvam , Mohd Suki Norazah 
Published: December 2024

Purpose
The purpose of this study is to investigate the influence of attitude, subjective norms, perceived behavioral control and perceived benefits on consumers’ intention to purchase energy-efficient appliances (EEAs) in an emerging market.

Design/methodology/approach
A total of 400 samples were collected via a self-administered questionnaire distributed in Kuala Lumpur, Malaysia. The data was analyzed using multiple regression analysis to assess the hypothesized relationships.

Findings
The results of this study reveal that attitude is the key predictor of consumers’ intention to purchase EEAs, followed by perceived benefits of EEAs. This positive attitude stems from the realization that reducing electricity consumption is not only crucial but also a commendable and valuable practice. They can contribute to the collective effort to mitigate climate change, reduce carbon emissions and conserve valuable natural resources. Their positive attitude toward EEAs reflects their sense of responsibility, mindfulness and desire to make an important contribution to promoting sustainability and creating a better future for generations to come.

Practical implications
Energy-efficient companies, retailers and marketers should implement a range of appealing cash rebate programs to stimulate immediate sales, foster future purchases of EEAs and reshape the perception that EEAs are costly. By implementing such rebate plans, the perceived financial burden on consumers is alleviated, resulting in improved attitudes toward EEAs and heightened recognition of their perceived benefits. Consequently, this encourages a surge in demand for EEAs, thereby further propelling the growth of the industry. These sustainable practices align with SDG 9 (Industry, Innovation and Infrastructure) and SDG 12 (Responsible Consumption and Production).

Originality/value
This study stands out for its exceptional contribution to theory, as it applies the theory of planned behavior as the underpinning theory and simultaneously integrates the perceived benefits of EEAs into the proposed model, aiming to foster consumers’ intention to purchase EEAs. What sets this study apart is its examination of an emerging market, which complements and expands upon previous research predominantly conducted in developed (Western) economies.
Promoting economic stability: the role of renewable energy transition in mitigating global volatility
Authors: Yadav Ashutosh 
Published: December 2024

Purpose
This study aims to investigate how renewable energy consumption impacts economic risk in volatile economies, with a specific focus on the moderating effects of GDP per capita and trade openness. It further explores the nonlinear relationships between renewable energy consumption and economic risk, highlighting the role of gross domestic product per capita (GDP per capita) and trade openness in moderating these effects.

Design/methodology/approach
The dynamic panel threshold model (DPTM) is used to analyze data from the World Development Indicators (WDI) 2023 data set. Key variables include renewable energy share, gross domestic product per capita (GDP per capita), economic rent, trade openness and a composite economic volatility index. Quantile regression (QR) ensures robustness across different economic risk levels.

Findings
Trade openness significantly moderates the relationship between renewable energy consumption and economic risk. In high trade openness economies, renewable energy consumption markedly reduces economic risk. Higher GDP per capita also enhances the stabilizing effects of renewable energy. These findings highlight the importance of integrated economic policies that foster both renewable energy adoption and economic openness for sustainable development.

Practical implications
The findings offer policymakers insights into promoting economic stability through renewable energy investments. Policies enhancing trade openness and economic growth can significantly amplify the benefits of renewable energy, contributing to sustainable development goals.

Social implications
The study underscores renewable energy’s potential to foster long-term economic stability and environmental sustainability, ensuring current development does not compromise future needs.

Originality/value
This study advances the understanding of nonlinear relationships between renewable energy and economic risk, filling a gap in existing literature. It incorporates the moderating roles of GDP per capita and trade openness within a nonlinear framework.
Effect of an environmental education course on prospective teachers’ pro-environmental behavior: a study in education for sustainable development perspective
Authors: Bibi Saima , Nousheen Ayesha , Siddiquah Aishah 
Published: December 2024

Purpose
This study aims to investigate the effect of environmental education (EE) on preservice teachers’ pro-environmental behavior.

Design/methodology/approach
A sequential mixed-method approach using both qualitative and quantitative research designs was adopted. The data were gathered from 42 preservice teachers enrolled in the MA Education program studying a subject, namely, EE. The pre- and post-experimental research design was used to carry out this study.

Findings
The findings of qualitative and quantitative data shows that EE has positive and significant effects on students–teachers’ pro-environmental behavior. A change in preservice teachers’ pro-environmental behavior was found after studying a course on EE. The study findings suggest the importance of standalone courses on EE and student-centered activities for developing students’ behavior toward the environment.

Research limitations/implications
By emphasizing the importance of EE and integrating it into their curriculum or programs, educational institutions can foster a more sustainable future while enhancing their reputation as socially responsible entities. Furthermore, they can develop sustainability-focused policies and practices that positively impact both the environment and the community.

Practical implications
Educators and learning practitioners can also use the findings of this research to design and implement effective EE programs that can develop students’ pro-environmental behavior. They can create learning environments that encourage critical thinking, problem-solving and collaboration among students, thereby developing their ability to address environmental issues. Overall, this research highlights the importance of EE in shaping the behavior of future teachers and leaders.

Originality/value
This study expends the discussion on the effectiveness of EE on preservice teachers’ pro-environmental behavior for a sustainable future.
Holistic customer experience: interplay between retail experience quality, customer in-shop emotion valence and in-shop involvement valence
Authors: Abid Muhammad Farrukh , Shamim Amjad , Thaichon Park , Quach Sara , Siddique Junaid , Awan Maheen Iqbal 
Published: December 2024

PurposeThis study examines the roles of retail experience quality dimensions, customers’ in-shop emotion valence and in-shop involvement valence in shaping the holistic retail customer experience.Design/methodology/approachWe conducted a total of 25 interviews with customers who have used services at non-fuel retail stores in Malaysia, commonly known as tuckshops, which are located adjacent to fuel stations. The data were analyzed using thematic analysis, which led to the identification of key themes and categories that informed the development of our conceptual framework.FindingsThis study identifies three dimensions of retail experience quality: physical surroundings experience quality, interaction experience quality and service innovation experience quality. These dimensions, which were previously unexamined, are shown to influence customer evaluations based on their interactions with the retail environment, employees and digital applications. Additionally, the study finds that these dimensions impact customers’ emotions and involvement valence, suggesting that even with negative experiences, high involvement and overall positive perceptions can still occur.Research limitations/implicationsThis study contributes to the literature in several ways. First, it identifies key retail antecedents that shape how customers interact with, interpret and evaluate the quality of their retail experiences. Second, it examines the complex nature of customers’ in-store emotions and involvement valence, highlighting the coexistence of positive and negative emotions in certain retail contexts. Third, the study offers practical insights for retail firms, urging them to adopt a holistic approach in addressing customer emotions and involvement across diverse retail service channels.Originality/valueThe study introduces new dimensions of retail experience quality and develops a framework linking these dimensions to customer emotions and involvement valence. Unlike previous research that has focused on either positive or negative aspects in isolation, this study offers a comprehensive view of how mixed emotions and involvement can impact the overall retail experience. It provides both theoretical insights and practical guidance for creating more balanced and engaging retail experiences.
Predictability and behavior of water transfers across basin boundaries
Authors: Eng Ken , Medalie Laura , Skinner Kenneth D. , Ivahnenko Tamara I. , Heilman Julian A. , Smith Jared D. 
Published: December 2024

AbstractInter‐basin water transfers (IBTs) are important components of water balances of basins, and they can have substantial impact on regional water availability. Flow information is often not available at locations with known IBTs, which is a drawback in several published IBT databases. Few, if any, studies examine whether IBT flow behavior can be generalized, and if these behaviors can be predicted at undocumented locations or known IBT locations with no flow information. In this study, we employ a clustering method based on image matching to identify similar classes of flow behavior of IBTs. Machine learning models are used to assess how well IBT flow characteristics (e.g., average flow) associated with these behaviors can be predicted. These evaluations of IBTs are done for two regions in the United States. Three primary classes of IBTs (seasonal, nonseasonal/not mixed, and seasonal/mixed) are identified across the two regions analyzed. The IBT flow characteristics are accurately predicted in the northeast region. In the Colorado region, however, only the flow characteristics related to timing were accurately predicted. These results indicate that the proposed modeling framework can be used to identify generalizable IBT flow characteristics. This framework is shown to predict flow characteristics with a reasonable amount of accuracy to undocumented locations and improves previously published IBT databases by backfilling flow information to locations with a known IBT presence.
Does Antenatal Expressing Affect Onset of Lactogenesis for Women With Diabetes? Results From a Randomised Controlled Trial and Cohort Study
Authors: Moorhead Anita M. , Forster Della A. , Donath Susan , Bortoli Jessica De , Amir Lisa H. 
Published: December 2024

ABSTRACTBackgroundPreviously it was recognised onset of Lactogenesis II was delayed in women with Type I diabetes compared to women without diabetes, but the effect of gestational diabetes was unclear. Some clinicians suggest pregnant women with diabetes express breastmilk in late pregnancy to hasten onset of Lactogenesis II.AimsTo confirm if Lactogenesis II occurs later in women with diabetes in pregnancy, and test if advice to express antenatally hastens Lactogenesis II.Materials and MethodsData from the DAME (Diabetes Antenatal Milk Expression) randomised controlled trial collected at recruitment and 2 weeks postpartum were compared with a concurrent purposively recruited cohort of women without diabetes in pregnancy. Timing of lactogenesis and adjusted percentage differences were calculated. Study sample was women from both studies with complete data for included measures to assess onset of Lactogenesis II (maternal perception).ResultsDelayed onset of lactation (≥ 72 h postpartum) was similar in DAME trial arms: standard care 58.6% (143/244); antenatal expressing 55.8% (148/265) but lower in comparison cohort 46.9% (90/192). Percentage difference between groups (adjusted for parity, delivery mode, BMI and gestation):

DAME standard arm and comparison cohort 12.3% (95% CI 2.6%–22.0%; p = 0.01)
DAME intervention arm and comparison cohort 8.3% (95% CI −1.2%–17.8%; p = 0.09)
DAME standard care and intervention 4.0% (95% CI −4.5%–12.5%; p = 0.35).
ConclusionsLactogenesis II occurs later for women with diabetes in pregnancy than women without diabetes. Our findings do not provide evidence that antenatal expressing hastens onset of lactation in women with diabetes in pregnancy.Trial RegistrationClinicalTrials.gov identifier: ACTRN12611000217909
Psychological evaluation of candidates for the uterus transplantation French trial
Authors: Karpel Léa , Nicaise Margaux , Carbonnel Marie , Le Marchand Mathilde , Racowsky Catherine , Pirtea Paul , Ayoubi Jean‐Marc 
Published: December 2024

AbstractIntroductionSince 2017, women with absolute uterine infertility due to Mayer‐Rokitansky‐Küster‐Hauser (MRKH) syndrome have been eligible to participate in a uterine transplantation clinical trial conducted by Foch Hospital in France. The aim of this study is to assess the psychological state of potential candidates, including recipients, their partners, and their living‐related donors.Material and MethodsSixteen potential uterus transplant candidates, including recipients, partners, and living‐related donors, participated in the study. The psychological evaluation of these candidates was conducted using three validated questionnaires: the Dyadic Adjustment Scale (DAS‐16), the Hospital Anxiety and Depression Scale (HADS), and the Fertility Quality of Life (FertiQoL) questionnaire.ResultsNo depression symptoms were observed in any participant according to the HADS. Most recipients did not exhibit signs of anxiety; however, three partners and three donors reported moderate to high anxiety levels. A positive correlation was found between the recipient's psychological distress related to infertility (FertiQoL) and the anxiety scores of their donors. The emotional aspect of infertility was identified as the most distressing factor for the recipients.ConclusionsWhile the overall psychological state of the participants was generally good, anxiety was notably present among donors and partners. Therefore, providing psychological support throughout the uterine transplantation process is essential for not only the recipients but also their partners and donors.
A systematic review of predictors and moderators of treatment response in psychological interventions for persisting forms of depression
Authors: Lyons Margaret , Delgadillo Jaime 
Published: December 2024

AbstractBackgroundAlthough psychological interventions can be effective for the treatment of major depressive disorder, some patients' symptoms persist or rapidly recur after therapy. This study aimed to synthesize research findings on predictors and moderators of treatment response for persisting forms of depression, such as chronic, recurrent, and treatment‐resistant depression.MethodsA systematic review of studies investigating predictors and moderators of response to outpatient psychological treatment for adults with persisting forms of depression was conducted by searching Web of Science, Scopus, and PsycInfo. A total of 23 eligible studies were included, assessed for risk of bias, and summarized using a narrative synthesis.ResultsSixty‐five predictor and moderator variables were examined across studies, categorized into sociodemographic, clinical, interpersonal/personality, psychological, and treatment variables. Most variables were only examined in single studies, which were rarely adequately powered for predictor and moderator analyses. Among variables studied more frequently (age, gender, baseline depression severity, childhood trauma), only baseline depression severity was found to be a replicated and consistent predictor of poorer treatment response. Risk of bias was low to medium for the majority of studies.LimitationsMeta‐analysis could not be done due to methodological heterogeneity among studies.ConclusionOur current understanding of significant predictors and moderators for persisting forms of depression is limited. A high level of baseline severity of depressive symptoms is so far the only variable consistently associated with poorer treatment response in this clinical population.
The Metapopulation Bridge to Macroevolutionary Speciation Rates: A Conceptual Framework and Empirical Test
Authors: Januario Matheus , Pinsky Malin L. , Rabosky Daniel L. 
Published: December 2024

ABSTRACTWhether large‐scale variation in lineage diversification rates can be predicted by species properties at the population level is a key unresolved question at the interface between micro‐ and macroevolution. All else being equal, species with biological attributes that confer metapopulation stability should persist more often at timescales relevant to speciation and so give rise to new (incipient) forms that share these biological traits. Here, we develop a framework for testing the relationship between metapopulation properties related to persistence and phylogenetic speciation rates. We illustrate this conceptual approach by applying it to a long‐term dataset on demersal fish communities from the North American continental shelf region. We find that one index of metapopulation persistence has phylogenetic signal, suggesting that traits are connected with range‐wide demographic patterns. However, there is no relationship between demographic properties and speciation rate. These findings suggest a decoupling between ecological dynamics at decadal timescales and million‐year clade dynamics, raising questions about the extent to which population‐level processes observable over ecological timescales can be extrapolated to infer biodiversity dynamics more generally.
Environment‐Organism Feedbacks Drive Changes in Ecological Interactions
Authors: Meacock Oliver J. , Mitri Sara 
Published: December 2024

ABSTRACTEcological interactions are foundational to our understanding of community composition and function. While interactions are known to change depending on the environmental context, it has generally been assumed that external environmental factors are responsible for driving these dependencies. Here, we derive a theoretical framework which instead focuses on how intrinsic environmental changes caused by the organisms themselves alter interaction values. Our central concept is the ‘instantaneous interaction’, which captures the feedback between the current environmental state and organismal growth, generating spatiotemporal context‐dependencies as organisms modify their environment over time and/or space. We use small microbial communities to illustrate how this framework can predict time‐dependencies in a toxin degradation system, and relate time‐ and spatial‐dependencies in crossfeeding communities. By re‐centring the relationship between organisms and their environment, our framework predicts the variations in interactions wherever intrinsic, organism‐driven environmental change dominates over external drivers.
Increasing Aridity May Threaten the Maintenance of a Plant Defence Polymorphism
Authors: Carley Lauren N. , Mitchell‐Olds Tom , Morris William F. 
Published: December 2024

ABSTRACTIt is unclear how environmental change influences standing genetic variation in wild populations. Here, we characterised environmental conditions that protect versus erode polymorphic chemical defences in Boechera stricta (Brassicaceae), a short‐lived perennial wildflower. By manipulating drought and herbivory in a 4‐year field experiment, we measured the effects of driver variation on vital rates of genotypes varying in defence chemistry and then assessed interacting driver effects on total fitness (estimated as each genotype's lineage growth rate, λ) using demographic models. Drought and herbivory interacted to shape vital rates, but contrasting defence genotypes had equivalent total fitness in many environments. Defence polymorphism thus may persist under a range of conditions; however, ambient field conditions fall close to the boundary of putatively polymorphic environment space, and increasing aridity may drive populations to monomorphism. Consequently, elevated intensity and/or frequency of drought under climate change may erode genetic variation for defence chemistry in B. stricta.