bluuebunny/crossref_metadata_2025_split huggingface dataset:
Empowering library and information science students as information literacy educators in librarianship professions: a study from Bangladesh
Authors: Hossain Md Arman , Sormunen Eero 
Published: January 2025

Purpose
The purpose of this study is to develop a novel guided inquiry-based pedagogical practice embedded into regular library and information science (LIS) courses to improve LIS students’ information literacy (IL) in a developing country.

Design/methodology/approach
A guided inquiry-based pedagogical practice for IL instruction was introduced and embedded into two regular courses in an LIS school. The effectiveness of the new approach was evaluated in a longitudinal pre-test- and post-test-based teaching intervention with a control group.

Findings
All aspects of IL skills improved among the students participating in the teaching intervention showcasing the benefits of the inquiry-based pedagogical practice. In addition, the students in the intervention group learned the course subject content more in depth than students in the control group. However, no consistent learning benefits were achieved in IL knowledge, and only sporadic associations were found between IL knowledge and skills.

Originality/value
This study breaks new ground in IL teaching intervention in LIS schools. To the best of the authors’ knowledge, it is the first to apply an inquiry-based approach, embed teaching into more than one regular course, collect pre-test and post-test data to evaluate learning outcomes in IL knowledge and skills and control learning outcomes in subject contents.
Margin call risk and leverage constraints: exploring investment horizons and low-risk anomalies in futures markets
Authors: Jo Yonghwan , Jung Dain 
Published: January 2025

PurposeIn futures markets, margin trading not only relaxes leverage constraints but also entails the risk of margin calls. Therefore, existing studies provide inconsistent evidence on low-risk anomalies, raising challenges in understanding leverage constraints in futures markets. This study aims to address this gap by focusing on margin call risk. Through bootstrap simulations with historical datasets, we find that margin call risk increases with longer investment horizons regardless of the initial margin, maintenance margin or individual futures volatilities. We also find that investors generally prefer higher leverage but adjust it in response to margin call risks across all futures sectors, leading them to opt for lower leverage for longer holding periods. Thus, while low-risk anomalies demonstrate statistical significance over longer investment horizons, their significance decreases for shorter investment horizons, such as less than six months. Our findings suggest that investors with sufficiently short holding periods are less likely to face leverage constraints in futures markets, especially the commodity, currency and bond futures markets.
Enhancing innovation through ESG practices: the superior impact on family businesses
Authors: Barguilla Sanclaudio Maite , Garcés-Galdeano Lucia , Salazar Morales Iván Alfredo 
Published: January 2025

PurposeThis work contributes to the debate on the link between environmental, social and governance (ESG) criteria and firm innovation, incorporating ownership structure as a moderating variable.Design/methodology/approachThis research uses ordinary least squares (OLS) regression to analyse the impact of ESG criteria on innovation, considering firm ownership as a catalyst that strengthens the effect of environmental and social practices on innovative performance.FindingsFamily-owned firms, with their unique characteristics like long-term orientation and commitment to family values, strengthen the relationship between environmental and social practices and innovation performance. This suggests that such firms are better positioned to leverage their corporate social responsibility (CSR) commitments and activities.Practical implicationsThe findings offer valuable insights for decision-making in organizations, particularly family firms focused on innovation and sustainability. The research shows that investing in sustainability practices not only ensures ESG compliance but also significantly fosters innovation.Originality/valueThis study contributes to the debate regarding the relationship between ESG criteria and firm innovative performance. It highlights how the implementation of ESG practices influences innovation, and particularly how firm ownership further enhances the relationship between environmental and social practices and firm innovative performance.
Factors influencing consumers’ intention to purchase hotel products on Douyin (TikTok): a comparison of business and leisure travelers
Authors: Liang Xi , Chuah Stephanie Hui-Wen , Tung Lisa 
Published: January 2025

PurposeEmploying the extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, this study examines the potential differences between two groups of hotel guests – business and leisure travelers – in terms of factors influencing their intention to purchase hotel products on Douyin (TikTok) in China.Design/methodology/approachData gathered from 700 Chinese hotel guests was analyzed using partial least squares-structural equation modeling (PLS-SEM) and multigroup analysis (MGA).FindingsThe MGA results reveal that three newly added variables – personalization, perceived interactivity and perceived creativity – significantly influence the purchase intention of leisure travelers but not business travelers. Regarding the conventional UTAUT2 variables, leisure travelers are more influenced by hedonic motivation and price value in their purchasing decisions. In contrast, performance expectancy and effort expectancy have a greater impact on the decision-making process of business travelers than their leisure counterparts.Research limitations/implicationsTheoretically, this paper is among the first to explore traveler types as moderators in the purchase of hotel products on Douyin. Practically, the findings offer valuable guidance for hotel marketers aiming to leverage Douyin to promote hotel products to these two different traveler segments.Practical implicationsInstead of using “one-size-fits-all” strategies, hotel managers should design marketing strategies that address the diverse needs of business and leisure travelers on Douyin. By implementing this strategy, they can effectively attract target customers and, in turn, increase hotel revenue.Originality/valueThis study expands the UTAUT2 framework and contributes to the scarce knowledge about the differences between business and leisure travelers regarding the relative importance of factors that influence their purchase intention for hotel products on Douyin among business and leisure travelers.
Under what conditions will I let social robots into my home? A configuration theory perspective
Authors: Gao Yajie , Chang Yaping , He Yinghao , Yu Zhihao 
Published: January 2025

PurposeAs innovative household products, social home robots have a significant impact on the interactive consumer experience. However, prior research on consumer intentions to use such robots has rarely considered the configuration perspective. The present study examines how consumers balance the key benefits and risks created by these robots and explores how key influential factors jointly influence usage intention from a configuration perspective.Design/methodology/approachWe adopted a hybrid research design. In Study 1, a thematic analysis was conducted to derive a conceptual framework reflecting the interplay of key factors influencing usage intention. In Study 2, a fuzzy set qualitative comparative analysis (fsQCA) was applied to reveal how these factors jointly shape usage intention.FindingsEquifinal configurations of antecedent conditions (i.e. emotional and instrumental support beliefs, concerns about informational and relational privacy risks, self-construal and anthropomorphic design) led to usage intention. Additionally, four distinct benefit-risk trade-off patterns emerged across individuals.Research limitations/implicationsThis study highlights the need to examine robot adoption in interactive marketing, particularly in the service domain. It has implications in the context of commercializing social home robots, emphasizing the potential of leveraging social home robots to enhance interactive consumer experiences and foster close connections with consumers.Originality/valueWe developed a neoconfigurational model to obtain a comprehensive understanding of social home robot acceptance in domestic settings, highlighting its implications for consumer–robot interactions and advancing research in interactive marketing.
Research on characteristics mining and management strategies for key rumor spreaders
Authors: Hu Yue , Yu Guang 
Published: January 2025

PurposeIn the era of social media, containing and managing online rumors poses a significant challenge. Therefore, a thorough investigation into the factors influencing rumor dissemination becomes increasingly crucial. Key rumor spreaders wield considerable influence over audience behavior and public opinion dissemination, making them pivotal in curbing the spread of rumors. This study aims to categorize these key spreaders and delve into the distinct characteristics of each category.Design/methodology/approachThis paper introduces a method for identifying key rumor spreaders through social network analysis. By utilizing text mining and sentiment analysis on data from typical rumor events on Weibo, we extract 14 characteristics of key spreaders. Subsequently, we develop a method for classifying the roles of these key spreaders and conduct empirical research to validate our findings.FindingsOur study reveals significant variations in the characteristics of key spreaders across different roles. These insights enable managers to implement differentiated management strategies for key spreaders based on their respective roles.Originality/valueThis research sheds light on the diverse characteristics exhibited by key rumor spreaders on social media, providing a novel reference point for enhancing the effectiveness of rumor intervention and control strategies.
Remove saplings early: Cost‐effective strategies to contain tree invasions and prevent their impacts
Authors: Moyano Jaime , García‐Díaz Pablo , Langdon Barbara , Palmer Stephen C. F. , Caplat Paul , Lambin Xavier , Pauchard Aníbal , Nuñez Martin A. 
Published: January 2025

Abstract

There is an urgent need to design management strategies to reduce invasive species spread and impact, but the large spatial and temporal scales of most biological invasions make them challenging environments in which to conduct field studies. In this context, simulation models can play a key role in informing invasive species management. Woody plants are among the most harmful invaders, yet an evidence base to support different management objectives for these species remains poorly developed. Pines (Pinus) have been intensively studied, in terms of demography, dispersal, spread and impact, which makes them an ideal study system to model invasions.

Using a multiyear database of observations of an invasive population, we employed an approximate Bayesian computation to fit an individual‐based spatially explicit model to compare management strategies to reduce the spread, population size and impact of a woody invader, Pinus contorta (pine hereafter), on grasslands in Patagonia. We simulated a pine population spreading from a plantation into a grassland over 50 years. Annual control actions in the grasslands started as soon as pines started spreading (when the pines from the plantation become reproductive) or were delayed at 10‐year intervals. For control actions, we targeted different pine life stages, prioritized different locations in the landscape and explored a wide range of available budgets.

Removing saplings was the most cost‐effective way to reduce pine spread and population size, whereas reducing management delay had a stronger effect on minimizing pine invasion impact on native grassland productivity. Focusing only on invasive adults was ineffective because it was costly, and it allowed a build‐up in the population size of other stages which soon became adults (and started spreading seeds).

Synthesis and applications: Our highest‐ranking strategies represent management actions to start implementing in the field as part of an adaptive management plan that iteratively evaluates the validity of our simulation model and updates the management recommendations. Our study can be applied to guide management of invasive pines and replicated with any invasive woody species with sufficient data.
Bayesian views of generalized additive modelling
Authors: Miller David L. 
Published: January 2025

Abstract

Generalized additive models (GAMs) are a frequently used, flexible framework applied to many problems in statistical ecology. They are commonly used to incorporate smooth effects into models via splines, including spatial components in species distribution models.

GAMs are often considered to be a purely frequentist framework (‘generalized linear models with wiggly bits’), however links between frequentist and Bayesian approaches to these models were highlighted early‐on in the literature. From a practical perspective, Bayesian thinking underlies many parts of the implementation in the popular R package mgcv, so understanding these underpinnings can be informative during model building and assessment.

This article aims to highlight useful links (and differences) between Bayesian and frequentist approaches to smoothing, as detailed in the statistical literature, in accessible way, with a focus on the mgcv implementation. By harnessing these links we can expand the set of modelling tools we have at our disposal, as well as our understanding of how existing methods work.

Two important topics for quantitative ecologists are covered in detail: model term selection and uncertainty estimation. Taking Bayesian viewpoints for these problems makes them much more tractable in many applied settings. Examples are given using data from the NOAA Alaska Fisheries Science Center's groundfish assessment program.
Macadamia (Macadamia integrifolia) detection and recognition based on improved YOLOv7 algorithm
Authors: Lin Zuxiang , Ma Rong , Wang Yingdong , Li Jiaqiang , He Chao , Liu Xueyuan , Yu Haisheng 
Published: January 2025

AbstractTimely and accurate macadamia identification is the key to automated orchard harvesting. This study proposes an improved recognition method for the YOLOv7 model to address fruit overlap, leaf‐trunk occlusion and small target problems in complex backgrounds. First, the novel BiFormer attention mechanism is introduced. This mechanism utilizes two‐layer routing to achieve dynamic sparse attention, effectively reducing the number of computations, enhancing the perception of small‐scale targets. Second, the asymptotic feature pyramid network (AFPN) replaces the YOLOv7 backbone network, reducing the semantic differences and parameters between different layers and improving small target detection in complex scenes. In addition, the repulsion loss function replaces the YOLOv7 default loss function to address dense fruit arrangement and fruit occlusion in the data set. This successfully reduces false detections. The validity of the model is verified by ablation and comparison experiments, which show that the improved YOLOv7 model achieves an average accuracy, precision, recall and F1 value of 99.7%, 99.6%, 99.3% and 99.4%, respectively. The average accuracy of the improved model increased by 7.5 percentage points compared with that of the YOLOv7 model. Overall, the improved YOLOv7 model can accurately recognize macadamia under complex lighting and background conditions with high detection accuracy and robustness.
High‐dose glucocorticoids in the treatment of postoperative pain after video‐assisted thoracoscopic surgery—protocol for systematic review and meta‐analysis
Authors: Vorm Bertram , Jeppesen Anni Nørgaard , Hansen Lene Mølgaard , Lumholdt Mads , Klitgaard Thomas Lass , Danielsen Allan Vestergaard , Juhl‐Olsen Peter , Sperling Phillip , Bisgaard Jannie 
Published: January 2025

AbstractBackgroundVideo‐assisted thoracoscopic surgery (VATS) is widely used in lung cancer surgery, as this technique causes less pain and faster recovery than open thoracotomy. However, significant postoperative pain persists in a number of patients, often leading to increased opioid use and opioid‐related adverse events in addition to prolonged admission times. Perioperatively administered glucocorticoids have been demonstrated effective in reducing pain after other types of surgeries, but the effect in VATS remains unclear.MethodsThis systematic review will assess the impact of glucocorticoids on postoperative pain in adult patients undergoing VATS. We will include randomised trials comparing higher doses of glucocorticoids to lower doses, placebo or no treatment. The review will follow the Preferred Reporting Items for Systematic Reviews and Meta‐Analysis statement and Cochrane methodology. The certainty of evidence will be assessed using the Grading of Recommendations Assessment, Development and Evaluation system. The primary outcome is standardised dynamic pain scores within 24 h. Secondary outcomes are opioid use, time to first mobilisation, length of hospital stay and numeric rating score >3 at any point within the first 24 h following surgery. Exploratory outcomes are opioid‐related adverse effects and glucocorticoid‐related adverse effects classified in major and minor events. Data will be meta‐analysed with sensitivity and subgroup analyses and trial sequential analyses. Furthermore, we will assess the risk of reporting bias and heterogeneity.ConclusionThis systematic review and meta‐analysis will provide an overview of the current evidence of how glucocorticoids affect postoperative pain and recovery in adult patients undergoing VATS.
Fluid accumulation in adult ICU patients – A protocol for a scoping review
Authors: Molin Clara , Wichmann Sine , Schønemann‐Lund Martin , Møller Morten Hylander , Bestle Morten Heiberg 
Published: January 2025

AbstractIntroductionFluid accumulation in critically ill patients is associated with adverse outcomes. However, there is a substantial variability in the terminology and definitions used to describe fluid accumulation. We aim to provide an overview of evidence describing fluid accumulation in critically ill adult patients admitted to the intensive care unit (ICU), including how it is defined, patient characteristics associated with fluid accumulation, ICU population, and outcomes assessed.MethodsWe will conduct a scoping review prepared according to the Preferred Reporting Items for Systematic and Meta‐analysis extension for Scoping reviews (PRISMA‐ScR). Pubmed, MEDLINE, EMBASE, and Cochrane Library will be searched systematically. All clinical studies reporting original data and investigating fluid accumulation, as defined by authors, in adult ICU patients will be included. We will assess the study design, the definition of fluid accumulation, ICU population, and the outcomes measured, categorised as patient‐important or non‐patient important, in the included studies. The results will be reported descriptively. The certainty of evidence will be assessed using a modified Grading of Recommendations Assessment, Development, and Evaluation (GRADE) on the research question level.DiscussionThis scoping review will provide an overview of definitions used for fluid accumulation, and describe ICU patient populations, patient characteristics, and outcomes assessed in ICU research.
Lifetime age‐related changes in clinical laboratory results, aging clocks and mortality predictors in 2412 Golden Retrievers
Authors: Perez Kevin , Swafford Brenna , Labadie Julia , Ocampo Alejandro 
Published: January 2025

AbstractIn this study, we investigated age‐related changes in clinical laboratory data and their association with mortality in dogs from the Golden Retriever Lifetime Study. By analyzing complete blood count (CBC) and biochemistry data from 2′412 Golden Retrievers over 16,678 visits, we observed significant changes during the first 2 years of life and throughout aging. Based on these observations, we developed a biological aging clock using a LASSO model to predict age based on blood markers, achieving an accuracy of R = 0.78. Although the biological age clock and pace of aging did not significantly improve mortality prediction, a model incorporating all blood biomarkers showed better predictive power for lifetime (C‐index = 0.763) and 1‐year mortality (AUC = 0.817). Our findings underscore the importance of comprehensive blood analysis for aging and mortality prediction in dogs and open the door for the development of novel methods to investigate aging in companion animals.
Natural Killer Cell Education in Women With Recurrent Pregnancy Loss
Authors: Lombardi Amber E. M. , Habets Denise H. J. , Al‐Nasiry Salwan , Spaanderman Marc E. A. , Wieten Lotte 
Published: January 2025

ABSTRACTProblemNatural killer (NK) cells undergo education for full functionality via interactions between killer immunoglobulin‐like receptors (KIRs) or NKG2A and human leukocyte antigen (HLA) ligands. Presumably, education is important during early pregnancy as insufficient education has been associated with impaired vascular remodeling and restricted fetal growth in mice. NK cell education is influenced by receptor co‐expression patterns, human cytomegalovirus (CMV), the HLA‐ER107G dimorphism, and HLA‐B leader peptide variants. We hypothesized altered NK cell education status and differences in frequencies of HLA‐E genotypes and HLA‐B leader peptide variants in women with recurrent pregnancy loss (RPL) compared to women with previously uncomplicated pregnancies, and between CMV seropositive and seronegative RPL women.Methods of StudyPeripheral blood mononuclear cells were analyzed by flow cytometry. HLA‐ABC was typed by sequence‐specific oligonucleotide PCR, and HLA‐E by Sanger sequencing. CMV status was determined by anti‐CMV IgG immunoassay. NK cells were considered “educated” if the HLA ligand to a KIR or NKG2A was present.ResultsKIR/NKG2A co‐expression patterns and percentages of educated NK cells were similar between RPL and controls, and between seropositive and seronegative RPL women. Frequencies of HLA‐E genotypes and HLA‐B leader peptide variants were comparable. RPL women with the HLA‐B T/T variant had a lower percentage of NKG2A‐educated NK cells (47.8%) compared to controls (66.4%) (p = 0.025).ConclusionsHLA‐B leader peptide variants might impact NKG2A‐specific NK cell education in RPL, warranting validation in larger studies. Follow‐up studies are needed to investigate the education status of uterine NK cells and their role in pregnancy.