bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the application of college student role models in service-learning pedagogy
Authors: Ifinedo Eloho , Burt Diane 
Published: January 2024

PurposeService-learning (SL) is a widely accepted pedagogy that can enrich the learning experience for students in higher education while they apply their skills in a meaningful community service. This research is part of a larger project that aimed to motivate educational achievement among youths living in a priority neighborhood through SL. Toward this goal, this study investigated the impact of SL on the college students from a college information technology programmer-analyst (ITPA) program, who were deployed as role models to youths in a priority neighborhood on the east coast of Canada.Design/methodology/approachThe overall project used the design-based methodology. Seven college students were deployed in two phases to a community center as role models for the delivery of science, technology, engineering, art and mathematics (or STEAM) programs to youths living in a priority neighborhood. Data were collected using open-ended survey, journal entries and focus groups and was qualitatively analyzed by drawing on two frameworks: the experiential-learning framework by Kolb (1984) and the conceptual SL framework by Ash and Clayton (2009).FindingsThe findings describe the outcome of the college students' experiences in SL with respect to the development of skills and capacities needed by employers. Specifically, their experiences mirrored all aspects of the two frameworks applied. Therefore, the study validates the use of SL pedagogy in higher education. In addition, the study identified the role of SL as an integration strategy for international students. While the research contributes to the wider SL conversation for policymakers, faculty and administrators of higher education, it also promotes development opportunities for college students.Originality/valueThe integration of SL pedagogy is widespread among programs in higher education. However, there are no common SL frameworks used in literature. The study is novel in that it combines two theoretical frameworks – Kolb (1984) and Ash and Clayton (2009) in explaining the outcomes. In addition, it uses two high-impact educational practices – SL and role modeling to improve educational attainment for college students.
Measuring the multiplier effect of regional tourism and its spatial distribution in Indonesia before and after the COVID-19
Authors: Sastri Ray , Li Fanglin , Setiyawan Arbi , Monika Anugerah Karta 
Published: January 2024

PurposeThe tourism multiplier effect (TME) is the total economic impact of tourism demand, representing the linkages between tourism and other businesses in an area. However, study about it is limited in Indonesia, especially at the provincial level and after the COVID-19 crisis. This study aims to estimate the TME in all provinces of Indonesia, test its differences in priority and non-priority areas before and after the COVID-19 crisis, analyze its spatial distribution and examine the determinant factor of TMEDesign/methodology/approachThis study applies an input-output model to measure the TME of all provinces in Indonesia, an independent sample t-test to examine the similarity of TME in priority and nonpriority areas, a paired sample t-test to examine the similarity of it before and after the COVID-19 crisis, and spatial analysis to check its spatial relationship.FindingsThe result shows that regional TME ranges from 1.25 to 2.05 in 2019, which changed slightly over time. The empirical result shows the TME difference before and after the COVID-19 crisis, and there is a spatial correlation in terms of TME with the hot spots are clustered in the eastern region of Indonesia, However, there was a slight change in the position of hot spots during the COVID-19 crisis. Moreover, the spatial model shows that value-added and employment in agriculture, manufacturing, trade and transportation affect the size of TME.Originality/valueThis study contributes to the academic literature by providing the first estimate of the TME at the provincial level in Indonesia, comparing the it in priority and non-priority areas before and after the COVID-19 crisis, and mapping its spatial distribution.
Unveiling the contextual effects of total quality management to enhance sustainable performance
Authors: Mohsin Muhammad , Shamsudin Mad Nasir , Jaffri Nasif Raza , Idrees Muhammad , Jamil Khalid 
Published: January 2024

PurposeThe current study focuses on the relationship between total quality management (TQM) and sustainable performance (SP) and examines how TQM practices can facilitate firms' achievement of sustainable performance. Knowledge management (KM), with its four dimensions, i.e. knowledge creation (KCR), knowledge acquisition (KAC), knowledge sharing (KSH) and knowledge application (KAP), is also an essential factor for organizations. Therefore, this study also focuses on the mediating role of KM in the relationship between TQM and sustainable performance.Design/methodology/approachThis study used a survey method to collect data from the managers of 485 manufacturing SMEs working in five major industrial cities in Pakistan. Collected data were analyzed through PLS-SEM with the help of smart-PLS.FindingsThe study's findings reveal that TQM practices positively influence the environmental and economic sustainability of the firm. At the same time, there is no evidence that TQM practices positively affect the social sustainability of the firm. Results further elaborate that TQM practices significantly affect all four dimensions of KM. Moreover, KM positively affects the two dimensions of SP, i.e. economic and social sustainability, but surprisingly, the impact of KM on environmental sustainability is not found. Finally, results indicate the significant mediating role of KM between TQM and SP.Originality/valueThis study contributes to bridging research gaps in the literature and advances how TQM, directly and indirectly, helps firms improve sustainable performance via the mediating role of KM.
An exploration of operational excellence methodologies implementation in the logistics sectors: a global study
Authors: Trakulsunti Yaifa , Antony Jiju , Garza-Reyes Jose Arturo , Tortorella Guilherme Luz , Chuayjan Witsarut , Foster Monika 
Published: January 2024

PurposeThe aim of this study reported in this paper was to explore the application of operational excellence methodologies in a global context.Design/methodology/approachA qualitative interview approach was used to understand the current state, benefits, challenges, success factors, tools and techniques of operational excellence methodology implementation with relevance to logistics companies worldwide. About 16 interviews were undertaken with practitioners working in leading companies and with leading academics in Asia, Europe, Africa, North America, South America and Australia.FindingsThe findings show that operational excellence methodologies including Lean, Six Sigma, Lean Six Sigma and Agile can apply in logistics firms to improve operations and productivity and save costs. Top management support and involvement play an important role in the success of operational excellence projects in the logistics service.Research limitations/implicationsThe findings will be of interest to top and middle managers and logistics practitioners, with a dual aim of improving logistics performance and saving costs.Originality/valueThe present study has been one of the first global study attempts to explore the implementation of operational excellence methodologies in the logistics sectors.
Climatic gradients and forest composition shape bat communities in Eastern Mediterranean pine plantations
Authors: ALLEGRINI Claudia , KORINE Carmi , KRASNOV Boris R. 
Published: January 2024

AbstractBiotic and abiotic factors can act as filters for determining the species composition of biological communities. We aimed to identify abiotic factors driving the assembly of bat communities in Eastern Mediterranean pine plantations along a north–south climatic gradient, as they are crucial forest habitats for the assessment and conservation of these communities. We expected that bat communities are predominantly shaped by environmental filtering. We conducted acoustic sampling in 35 pine plantations in Israel and analyzed recordings for species identification. We used the ESLTP analysis, an extension of the three‐table ordination (RLQ analysis), to explore relationships between environmental characteristics, species occurrences, and functional traits of species while accounting for phylogenetic relationships between species and spatial distribution of the communities. Communities showed phylogenetic and trait clustering. Climatic conditions and forest vegetation composition shaped communities of bats, affecting the distribution of traits related to foraging behaviors, vegetation clutter, and the ability of bats to maneuver in it. Maneuverable species were associated with the northern Mediterranean climatic zone, with a scarce cover of drought‐tolerant small shrubs and grassland. Fast flyers were associated with the center‐south semi‐arid area, with abundant drought‐tolerant small shrubs and grassland. These forces might have a predominant role in the assembly of these communities, presumably due to the stressful climatic conditions of the study area. The ESLTP approach can be extended to other taxa and environments to predict species responses to disturbance and environmental changes and give insights into environmental management.
Brain size mediates the choice of breeding strategy in the red‐backed shrike Lanius collurio
Authors: BIALAS Joanna T. , DYLEWSKI Łukasz , TOBOLKA Marcin 
Published: January 2024

AbstractThe brain size of vertebrates represents a trade‐off between natural selection for enhanced cognitive abilities and the energetic constraints of brain tissue production. Processing information efficiently can confer benefits, but it also entails time costs. Breeding strategies, encompassing timing of breeding onset and nest‐site selection, may be related to brain size. In this study, we aim to elucidate the relationship between brain size, breeding timing, nest‐site choice, and breeding success in the red‐backed shrike Lanius collurio. Our findings revealed that the timing of the first egg‐laying date was associated with female head size, with larger‐headed females tending to lay eggs later in the breeding season. Additionally, we observed that breeding success was positively correlated with increased nest concealment. However, this relationship was stronger in males with smaller heads. In turn, nest concealment was not related to head size but primarily influenced breeding onset. These results suggest that the choice of breeding strategy may be moderated by brain size, with differences between sexes. Larger‐headed females may invest more time in selecting nesting sites, leading to delayed breeding onset, while larger‐headed males may compensate for suboptimal nest concealment. Our study sheds light on the intricate interplay between brain size, breeding timing, nest‐site preferences, and breeding success in passerine birds, underscoring the potential role of cognitive capacity in shaping individual decision‐making processes.
Pomegranate's (Punica granatum L.) fruit quality and nutrient content are influenced by soil fraction × root architecture interaction
Authors: Muradoğlu Ferhad , Güler Emrah , Akkuş Gökhan , Başak İbrahim , Fawole Olaniyi Amos 
Published: January 2024

AbstractAmong the most important factors influencing plant nutrient uptake and water access are soil fraction and root architecture. However, little is known about how soil fraction × root architecture interaction affects woody plants. This study considered the differentiation of soil fertility parameters on layers through the root zone of two different soils and the quality and nutrient responses of three newly bred pomegranate varieties to soil fractions based on root architecture in clay and clay loam orchards. According to the findings, increasing clay content in the deeper layers has a negative impact on soil fertility, organic matter, phosphorus (P), and potassium (K). In clayey conditions, pomegranate varieties yielded lower in a range of 2.74% to 6.10% and significantly lower macro and micronutrient insertion. Conversely, the shallow‐rooted variety accumulated significantly more boron (B) and P and set 50% more fruits in the clayey orchards. Soil fractions × root architecture significantly altered fruit quality characteristics, nutrient ingredients, and their relationships supported by a relatively low linear relationship in the Mantel test (r = 0.42). This study suggests that pomegranate tree responses to soil fractions are determined by root architecture. A proper approach to obtaining high‐quality and nutritionally fortified pomegranates will incorporate appropriate cultivation techniques, such as suitable fertigation regime regulation, harvest date optimization, and soil organic matter enrichment, to provide uniform nutrient uptake based on the soil type and variety's root architecture.
Variability and patterns in children's media use and links with language development
Authors: Kucker Sarah C. , Perry Lynn K. , Barr Rachel 
Published: January 2024

AbstractAimMedia use is widespread and rising, but how often and for what purpose young children use media varies, which has differential impacts on development. Yet little work has measured how and why children under 36 months use digital media or media's consequences for language.MethodsThe current study measures how and why 17‐ to 30‐month‐old children use digital media and associations with their language abilities. The amount of use, type of activity and caregiver reasons for children's media use were then compared to the child's vocabulary and mean length of utterance.ResultsAbout 17‐ to 30‐month‐old children are primarily exposed to TV/videos over other media forms, which are often used to occupy children. Video time (but not other activities) negatively predicts children's language. The negative impact of videos on vocabulary persists regardless of the reason for use, however, the effect of videos on expressive language may be tempered when videos are used for education or connecting.ConclusionChildren under 36 months are using digital media at high rates. What they are doing and why they use media is critical to predict the effect it might have on language development. Further research and anticipatory guidance on the consequences of videos are needed.
Systematic review and meta‐analysis: Risk of gastric cancer in patients with first‐degree relatives with gastric cancer
Authors: Ligato Irene , Dottori Ludovica , Sbarigia Caterina , Dilaghi Emanuele , Annibale Bruno , Lahner Edith , Esposito Gianluca 
Published: January 2024

SummaryBackgroundGastric cancer ranks fourth in terms of global cancer‐related deaths. Timely identification of high‐risk populations is crucial to reduce mortality. Although a family history of gastric cancer increases risk, European and British guidelines report weak recommendations and low‐quality evidence about the management of these patients.AimTo quantify the association in case–control studies of patients with gastric cancer with first‐degree relatives with gastric cancer compared to those who do not.MethodsWe conducted a systematic review and meta‐analysis of case–control studies up to November 2023. Data extraction was performed independently by two reviewers. The heterogeneity of effects across studies was quantified by I2. We calculated odds ratios (OR) with 95% confidence intervals (CI) using random effects models.ResultsWe included 30 studies in the systematic review. In all studies, a first‐degree family history of gastric cancer represented a risk factor for gastric cancer. We included 21 studies on the risk of gastric cancer. There was a significantly increased association between gastric cancer and having first‐degree relative(s) with gastric cancer, but with significant heterogeneity among studies (OR = 2.92; 95% CI 2.402–3.552; p < 0.001; I2 = 81.85%; p < 0.001).ConclusionThis meta‐analysis highlights the relevance of patients' family history of gastric cancer and the importance of this risk factor for the early detection of neoplastic conditions.
Personalizing real‐world problems: Posing own problems increases self‐efficacy expectations, intrinsic value, attainment value, and utility value
Authors: Schoenherr Johanna 
Published: January 2024

AbstractBackgroundReal‐world problems are important in math instruction, but they do not necessarily trigger students' task motivation. Personalizing real‐world problems by (1) matching problems to students' shared living environment (context personalization) and (2) asking students to pose their own problems (active personalization) might be two interventions to increase students' task motivation.AimIn the current study, we investigated the effects of context personalization and active personalization on students' self‐efficacy expectations, intrinsic value, attainment value, utility value, and cost.SampleThe participants were 28 fifth‐ and sixth‐grade students who voluntarily took part in a six‐month afterschool program in which they posed problems with the aim of creating a math walk in their hometown.MethodUsing a within‐subjects design, at the end of the afterschool program, the students rated their self‐efficacy expectations and task values for four self‐developed problems associated with their hometown, four peer‐developed problems associated with their hometown, and four instructor‐provided problems associated with unfamiliar locations.ResultsStudents reported higher self‐efficacy expectations, intrinsic value, attainment value, and utility value for active‐personalized than non‐personalized problems. To a lesser extent, context personalization promoted intrinsic value and attainment value. No effect was found for cost.ConclusionsActive personalization (i.e. asking students to pose their own real‐world problems) is suited to enhance students' task motivation, specifically their self‐efficacy expectations, intrinsic value, attainment value, and utility value. Context personalization still boosts students' intrinsic value and attainment value. Implementation in classroom instruction is discussed.
Arsenic‐induced neurotoxicity in patients with acute promyelocytic leukaemia
Authors: Loh Zoe , Ashby Michael , Van Veldhuizen Ellie , Li Wenlong , Chee Ashlyn , Aung Winpa , Lavrukhina Yelena , Mason George , Pelly Tenille , Nedumannil Rithin , Kosciejew Serena , Mokoonlall Mridula , Lim Jonathan , Calov Georgina , Butler Llewyn , Hillebrand Paulina , Beekman Ashley , Rathnasekara Greasha Kalani , Raj Sonia , Zhang Cathey , Yao Yao , Iland Harry , Grigg Andrew 
Published: January 2024

SummaryArsenic trioxide is an essential component of therapy for acute promyelocytic leukaemia (APL) and is currently dosed on actual body weight with no upper limit. Arsenic‐induced neurotoxicity is a well‐recognised complication; however, there is uncertainty about its relationship to arsenic dose and obesity. We conducted a large multicentre retrospective study of 487 patients with APL treated with arsenic‐based therapy across 23 sites in Australia from 2008 to 2023. The primary outcome was incidence of neurotoxicity, and secondary outcomes included relationship of neurotoxicity to obesity and cumulative arsenic dose. Any‐grade neurotoxicity occurred in 113 (23%) patients, predominantly peripheral neuropathy (91%). Most events were grade 1–2 severity (85%), with grade 3 events in 12% and grade 4–5 in 3%. The incidence of neurotoxicity increased with BMI (non‐obese: 16%, obesity class I: 25%, obesity class II–III: 41%; p < 0.001). On univariable analysis, obesity class I (OR 1.81, p = 0.036), obesity class II–III (OR 3.93, p < 0.001), weight >100 kg (OR 2.72, p < 0.001), daily arsenic trioxide dose >15 mg (OR 5.05, p < 0.001) and cumulative induction dose >500 mg (OR 3.95, p < 0.001) were all significantly associated with neurotoxicity. Obesity class II–III and induction dose >500 mg remained significant on multivariable analysis. Our study highlights the strong association between BMI, arsenic trioxide dose and neurotoxicity. Pre‐emptive dose reductions should be considered for obese patients receiving high doses of arsenic.
An exploratory study of “large‐n” detrital zircon geochronology of the Book Cliffs, UT via rapid (3 s/analysis) U–Pb dating
Authors: Sundell Kurt E. , Gehrels George E. , D. Blum Michael , Saylor Joel E. , Pecha Mark E. , Hundley Bridget P. 
Published: January 2024

AbstractDetrital zircon (DZ) U–Pb geochronology has improved the way geologists approach questions of sediment provenance and stratigraphic age. However, there is debate about what constitutes an appropriate sample size (i.e., the number of dates in a DZ sample, n), which depends on project objectives, sample complexity, and, critically, analytical budget. Additionally, there is ongoing concern about bias introduced by zircon grain size. We tested a recently developed rapid (3 s/analysis) data acquisition method by multicollector laser ablation‐inductively coupled plasma‐mass spectrometry (LA‐ICP‐MS) that incorporates an automated selection routine and calculates two‐dimensional grain geometry from polished sample surfaces. Eleven samples were analysed from below and above the Late Cretaceous (Campanian) basal Castlegate unconformity of the Book Cliffs, Utah, in a down‐depositional‐dip transect including Price, Horse, Tusher, and Thompson canyons. 12,448 new concordant dates were generated during two measurement sessions. Results are consistent with recent studies suggesting there is no major provenance change and little time (1–2 Myr) represented across the unconformity. Grain size and sample size both exert a strong control on sample dissimilarity. Age distributions constructed from subsamples of large grains are systematically less similar to whole samples; age distributions composed of small grains are overall more similar to whole samples. As such, North American sediment sources that produce large grains such as the Grenville and Yavapi‐Mazatzal belts can bias age distributions if only large grains are analysed. A sample size of n = 100 is inadequate for characterizing age distributions as complex as those of the Book Cliffs, whereas a sample size of n = 300 provides good characterization. Sample size of n ≈ 1000 or more is unnecessary unless project objectives include scanning for subordinate age groups, such as when identifying the youngest grains for calculating a maximum depositional age (MDA). Dates used in MDA calculations acquired with rapid acquisition are best re‐analysed with longer LA‐ICP‐MS acquisition methods or isotope dilution thermal ionization mass spectrometry for increased accuracy and precision. We include new MATLAB code and open‐source software programs, DZpick and DZmda, for automated spot picking and calculating MDAs.