bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing the ICT and economic growth relation in OECD countries
Authors: Gökgöz Fazıl , Turan Hasan 
Published: September 2024

PurposeThis study aims to examine the relationship between information and communication technology (ICT) and economic growth in all organization for economic co-operation and development (OECD) countries.Design/methodology/approachThis paper employs annual panel data together with fixed-effects (FE), random effects (RE), fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS) and generalized method of moments (GMM) estimators for production function estimation.FindingsThe results indicate that ICTs, non-ICT (NICT) capital services and employment significantly and positively affect economic growth.Practical implicationsInformation is an important driving force behind economic growth and productivity, and communication technologies have made it more accessable. Also, many countries aimed to invest in ICT to improve their economic growth and productivity. However, these investments failed to produce the expected outcome for some years and countries.Originality/valueTo our knowledge, no study examines the ICT and growth relation in all OECD countries for 2000–2018 period. We intend to fill this gap by examining whether or not the expected returns from ICT investment are achieved in all OECD countries between 2000 and 2018.
Speaking with a “forked tongue” – misalignment between user ratings and textual emotions in LLMs
Authors: Yang Yixing , Huang Jianxiong 
Published: September 2024

PurposeThe study aims to provide concrete service remediation and enhancement for LLM developers such as getting user forgiveness and breaking through perceived bottlenecks. It also aims to improve the efficiency of app users' usage decisions.Design/methodology/approachThis paper takes the user reviews of the app stores in 21 countries and 10 languages as the research data, extracts the potential factors by LDA model, exploratively takes the misalignment between user ratings and textual emotions as user forgiveness and perceived bottleneck and uses the Word2vec-SVM model to analyze the sentiment. Finally, attributions are made based on empathy.FindingsThe results show that AI-based LLMs are more likely to cause bias in user ratings and textual content than regular APPs. Functional and economic remedies are effective in awakening empathy and forgiveness, while empathic remedies are effective in reducing perceived bottlenecks. Interestingly, empathetic users are “pickier”. Further social network analysis reveals that problem solving timeliness, software flexibility, model updating and special data (voice and image) analysis capabilities are beneficial in breaking perceived bottlenecks. Besides, heterogeneity analysis show that eastern users are more sensitive to the price factor and are more likely to generate forgiveness through economic remedy, and there is a dual interaction between basic attributes and extra boosts in the East and West.Originality/valueThe “gap” between negative (positive) user reviews and ratings, that is consumer forgiveness and perceived bottlenecks, is identified in unstructured text; the study finds that empathy helps to awaken user forgiveness and understanding, while it is limited to bottleneck breakthroughs; the dataset includes a wide range of countries and regions, findings are tested in a cross-language and cross-cultural perspective, which makes the study more robust, and the heterogeneity of users' cultural backgrounds is also analyzed.
Facilities management as moderator in improving waste separation behaviour among households
Authors: Razali Fitriyah , Daud Dzurllkanian , Choong Weng Wai , Anthony Jiram Wilson Rangga , Sulaiman Noramirah Nabilah , Raja Syamsuddin Raja Nurul Sakinah 
Published: September 2024

PurposeThis research focuses on the role of facilities management (FM) elements which are people who represent the household, and process, place and technology as the FM elements. The findings of this research include a list of suggestions to improve SSI implementation based on the FM elements. A waste separation behaviour model was established based on the findings, which was then further validated by experts in related fields.Design/methodology/approachThis paper explains how the process, place and technology elements of FM moderate and influence waste separation behaviour among households. A conceptual framework is proposed, grounded on the theory of planned behaviour (TPB), and a questionnaire survey was conducted to collect primary data from 900 eligible respondents among the residents of high-rise residential units in Malaysia’s capital city, Kuala Lumpur. SmartPLS software was used to analyse the structural equation model (SEM) of the conceptual framework developed to test the moderator’s effects.FindingsThe findings show that the process, place and technology moderators significantly and positively affected the relationship between perceived behavioural control and waste separation behaviour. Process and technology moderators significantly and positively affect the relationship between moral norms and waste separation behaviour among households. This research focuses on the role of FM elements which are people who represent the household and process, place and technology as the FM elements. The findings of this research include a list of suggestions to improve Separation at Source Initiative (SSI) implementation based on the FM elements. A waste separation behaviour model was established based on the findings, which was then further validated by experts in related fields.Originality/valueThis study implements the case of categorical moderator type and multiple constructs toward the relationships of formative indicators and contributes to knowledge regarding the analysis of moderator variables and structural equation modelling.
Systematic Review of Clinical Prediction Models for the Risk of Emergency Caesarean Births
Authors: Hunt Alexandra , Bonnett Laura , Heron Jon , Lawton Michael , Clayton Gemma , Smith Gordon , Norman Jane , Kenny Louise , Lawlor Deborah , Merriel Abi ,   the Options Study Collaborative Group
Published: September 2024

ABSTRACTBackgroundGlobally, caesarean births (CB), including emergency caesareans births (EmCB), are rising. It is estimated that nearly a third of all births will be CB by 2030.ObjectivesIdentify and summarise the results from studies developing and validating prognostic multivariable models predicting the risk of EmCBs. Ultimately understanding the accuracy of their development, and whether they are operationalised for use in routine clinical practice.Search StrategyStudies were identified using databases: MEDLINE, CINAHL, Cochrane Central and Scopus with a search strategy tailored to models predicting EmCBs.Selection CriteriaProspective studies developing and validating clinical prediction models, with two or more covariates, to predict risk of EmCB.Data Collection and AnalysisData were extracted onto a proforma using the Prediction model Risk Of Bias ASsessment Tool (PROBAST).ResultsIn total, 8083 studies resulted in 56 unique prediction modelling studies and seven validating studies, with a total of 121 different predictors. Frequently occurring predictors included maternal height, maternal age, parity, BMI and gestational age. PROBAST highlighted 33 studies with low overall bias, and these all internally validated their model. Thirteen studies externally validated; only eight of these were graded an overall low risk of bias. Six models offered applications that could be readily used, but only one provided enough time to offer a planned caesarean birth (pCB). These well‐refined models have not been recalibrated since development. Only one model, developed in a relatively low‐risk population, with data collected a decade ago, remains useful at 36 weeks for arranging a pCB.ConclusionTo improve personalised clinical conversations, there is a pressing need for a model that accurately predicts the timely risk of an EmCB for women across diverse clinical backgrounds.Trial Registration: PROSPERO registration number: CRD42023384439.
Teachers' relational competence towards students with neurodevelopmental symptoms: A microscopic relational analysis
Authors: Ewe Linda Plantin , Aspelin Jonas 
Published: September 2024

AbstractTeacher–student relationships (TSRs) are key factors for at‐risk students. However, little is known regarding how TSRs are built through interactions with students with neurodevelopmental disorders (NDDs). This study provides an in‐depth analysis of a teacher's relational competence in relation to a student with NDD symptoms. We used microscopic relational analysis to scrutinise a TSR, focusing on a brief classroom episode selected from a sample of seven video‐recorded lessons set in an elementary school. Our findings demonstrate the critical role of teachers' relational competence in nurturing positive and supportive TSRs. Teachers' relational competence manifests through continuously reading, understanding, and empathising with students. Furthermore, teachers can promote mutual understanding and respect, regulate the degree of closeness and distance, and manage the emotional indicators of ongoing TSR. We propose that such microsocial artistry is an essential part of teachers' competencies when interacting with students with NDDs.
Fasting blood glucose level and risk of all‐cause and cause‐specific mortality in peritoneal dialysis patients
Authors: Lim So Jin , Moon Ju Young , Jeong Kyung Hwan , Ko Gang Jee , Choi Yun Jin , Hwang Hyeon Seok 
Published: September 2024

AbstractBackgroundGlycemic control is crucial in peritoneal dialysis (PD) patients with diabetes. Although fasting blood glucose (FBG) is the most commonly used index to measure blood glucose levels, there is currently no evidence supporting the association between FBG level and mortality risk in PD patients.MethodsA total of 3548 diabetic PD patients between 2002 and 2018 were enrolled from the National Health Insurance Service database of Korea. We investigated the association between FBG levels and the risk of all‐cause and cause‐specific mortality.ResultsPatients with FBG levels 80–99 mg/dL exhibited the highest survival rates, whereas those with FBG levels ≥180 mg/dL had the lowest survival rates. Compared with FBG levels 80–99 mg/dL, the adjusted hazard ratios and 95% confidence interval for all‐cause mortality significantly increased as follows: 1.02 (0.87–1.21), 1.41 (1.17–1.70), 1.44 (1.18–2.75), and 2.05 (1.73–2.42) for patients with FBG 100–124 mg/dL, FBG 125–149 mg/dL, FBG 150–179 mg/dL, and FBG ≥180 mg/dL, respectively. The risk for all‐cause mortality also showed an increasing pattern in patients with FBG levels <80 mg/L. The risk of cardiovascular death significantly increased as FBG levels exceeded 125 mg/dL. However, the risk of infection‐related and malignancy‐related deaths did not show a significant increase with increasing FBG levels.ConclusionThere was an increase in the risk of all‐cause mortality as FBG levels exceeded 125 mg/dL in PD patients with diabetes, and the risk of cardiovascular death showed a strong correlation with FBG levels compared with other causes of death.image
Emergency delivery in case of suspected placenta accreta spectrum: Can it be predicted?
Authors: Hanulikova Petra , Savukyne Egle , Fox Karin A. , Sobisek Lukas , Mhallem Mina , van Beekhuizen Heleen J. , Stefanovic Vedran , Braun Thorsten , Paping Alexander , Bertholdt Charline , Morel Olivier ,   IS‐PAS
Published: September 2024

AbstractIntroductionThe main goal of placenta accreta spectrum (PAS) screening is to enable delivery in an expert center in the presence of an experienced team at an appropriate time. Our study aimed to identify independent risk factors for emergency deliveries within the IS‐PAS 2.0 database cohort and establish a multivariate predictive model.Material and MethodsA retrospective analysis of prospectively collected PAS cases from the IS‐PAS database between January 2020 and June 2022 by 23 international expert centers was performed. All PAS cases (singleton and multiple pregnancies) managed according to local protocols were included. Individuals with emergent delivery were identified and compared to those with scheduled delivery. A multivariate analysis was conducted to identify the possible risk factors for emergency delivery and was used to establish a predictive model. Maternal outcomes were compared.ResultsOverall, 315 women were included in the study. Of these, 182 participants (89 with emergent and 93 with scheduled delivery) were included in the final analysis after exclusion of those with unsuspected PAS antenatally or who lacked information about the urgency of delivery. Gestational age at delivery was higher in the scheduled group (34.7 vs. 32.9, p < 0.001). Antenatal bleeding (OR 2.9, p = 0.02) and a placenta located over a uterine scar (OR 0.38, p = 0.001) were the independent predictive factors for emergent delivery (AUC 0.68). Ultrasound (US) markers: loss of clear zone (p = 0.001), placental lacunae (p = 0.01), placental bulge (p = 0.02), and presence of bridging vessels (p = 0.02) were more frequently documented in the scheduled group. None of these markers improved the predictive values of the model. Higher PAS grades were identified in the scheduled group (p = 0.01). There were no significant differences in maternal outcomes.ConclusionsAntenatal bleeding and the placental location away from the uterine scar remained the most significant predictors for emergent delivery among patients with PAS, even when combining more predictive risk factors, including US markers. Based on these results, patients who bleed antenatally may benefit from transfer to an expert center, as we found no differences in maternal outcomes between groups delivered in expert centers. Earlier‐scheduled delivery is not supported due to the low predictive value of our model.
Depression of cortical neuronal activity after a low‐dose fentanyl in preterm infants
Authors: Nilsson Sofie , Tokariev Anton , Vehviläinen Timo , Fellman Vineta , Vanhatalo Sampsa , Norman Elisabeth 
Published: September 2024

AbstractAimOpioids might be harmful to the developing brain and dosing accuracy is important. We aimed at investigating fentanyl effects on cortical activity in infants using computational re‐analysis of bedside recorded EEG signals.MethodsFifteen infants born at median 26.4 gestational weeks (range 23.3–34.1), with a birth weight 740 grams (530–1420) and postnatal age 7 days (5–11) received fentanyl 0.5 or 2 μg/kg intravenously before a skin‐breaking procedure or tracheal intubation, respectively. Cortical activity was continuously recorded using amplitude‐integrated electroencephalography (aEEG). Analyses using three computational EEG features representing cortical synchrony and signal power, were conducted five minutes pre‐ and 10 minutes post the drug administration.ResultsVisual assessment of trends displayed from the EEG metrics did not indicate systematic changes. However, the magnitude of the changes in the parietal and right hemisphere signals after the dose was significantly correlated (ρ < −0.5, p < 0.05) to the EEG amplitude and frequency power level before drug administration. This effect started after 3–4 min.ConclusionFentanyl, even in small doses, may affect cortical activity in the preterm brain. The effect is robustly related to the state of cortical activity prior to drug treatment, which must be taken into account when analysing the effects of sedative drugs.
Designing equity‐centered early learning assessments for today's young children
Authors: Hanno Emily C. , Portilla Ximena A. , Hsueh JoAnn 
Published: September 2024

AbstractIn this article, we adopt culturally relevant perspectives on developmental science that acknowledge and value the diversity of backgrounds and experiences of young children and their families to identify opportunities to advance the measurement of early childhood development. We focus on direct child assessments that can drive more equitable early learning experiences and outcomes by informing the work of educators and program‐ and system‐level decision‐makers. Specifically, we describe potential advancements in the content (what is measured), method (how assessments are conducted), and output (how data are presented) of early learning assessments. Throughout, we highlight opportunities to elevate the experiences of those who use assessment—children, families, educators, and administrators—to develop equity‐centered, engaging assessments that provide comprehensive, fair, and useful insights.
Influence of repeated implant‐abutment manipulation on the prevalence of peri‐implant diseases in complete arch restorations. A retrospective analysis
Authors: Krebs M. , Greilich L. , Weigl P. , Hess P. , Dahmer I. , Begić A. 
Published: September 2024

AbstractPurposeTo evaluate the effects of repeated abutment manipulation on the prevalence of peri‐implant diseases.Materials and MethodsA total of 27 edentulous patients (n = 108 implants) immediately restored with double‐crown retained implant‐supported prostheses were identified for this retrospective study. The test included the one‐abutment, one‐time care concept (n = 18 patients, n = 72 implants, OAOT) and the control abutment replacement (n = 9 patients, n = 36 implants, AR). A mixed effects model regression was conducted for the variable diagnosis (healthy, peri‐implant mucositis, and peri‐implantitis) with predictors abutment replacement (presence/absence), number of abutment replacement, category of keratinized mucosa (KM) (2 < KM ≥2 mm), and radiographic bone loss (BL).ResultsAfter 3–15 years (mean 10.2 ± 2.8 years), the prevalence of peri‐implant mucositis and peri‐implantitis in patients in the AR group was 11.1% and 88.9%, corresponding to 22.2% and 55.6% at the implant level, respectively. In OAOT group, none of the implants showed peri‐implant mucositis, whereas the prevalence for peri‐implantitis at patient and implant level amounted to 5.6% and 5.6%, respectively. The increased number of abutment replacements was significantly associated with the increased probability to diagnose peri‐implant mucositis and peri‐implantitis (OR: 6.13; 95% CI [2.61, 14.39]) (p < 0.001), whereas the presence of keratinized mucosa was not founded as a significant cofounder. The estimated mean BL in AR group was 1.38 mm larger than in OAOT group (p = 0.0190).ConclusionsThe OAOT concept was associated with a lower prevalence of peri‐implant diseases.
Marine spatial planning for socio‐ecological management of animal‐associated microbiomes
Authors: Busch Kathrin , Pardy Gary , King Marty , Lirette Camille , Murillo Francisco Javier , Kenchington Ellen 
Published: September 2024

AbstractBiodiversity changes and habitat shifts are two phenomena substantially reshaping marine life on our present and future planet. Although those phenomena are well recognized on the macrobial level, they currently do not receive similar attention on the microbial level. Generally, microbiome diversity and function, associated with and governing the health and fitness of their host organisms, are neglected in conservation efforts. This is especially problematic as previous research has highlighted that host‐associated microbes (microbiomes) may display distribution patterns that are not only correlated with host animal biogeographies but also with other factors such as prevailing environmental conditions. Here, marine spatial planning for socio‐ecological management of animal‐associated microbiomes is discussed, using deep‐sea sponge and coral‐associated microbiomes as an example of how to incorporate microbial diversity into conservation planning. We advocate for a holistic and integrative approach to marine spatial planning that incorporates the larger habitat, the host, the microbiome, as well as the socio‐economic and cultural perspective, throughout the whole decision‐making process. A general workflow containing the needed steps to establish microbiome‐integrated marine protected areas is presented, as well as the analytical steps and results underlying the implementation of the world's first microbiome‐considered marine conservation network on the Scotian Shelf off eastern Canada.
Erforschung des therapeutischen Potenzials topischer Probiotika bei dermatologischen Erkrankungen: ein umfassender Überblick über klinische Studien
Authors: Tamer Funda , Kekilli Murat 
Published: September 2024

ZusammenfassungDer Gastrointestinaltrakt kann aufgrund des Gleichgewichts zwischen den enthaltenen pathogenen, opportunistischen und nützlichen Bakterienspezies zur Regulierung systemischer Inflammationen und Hauterkrankungen beitragen. Die äußere Zufuhr nützlichen Bakterien hat neben der bekannten positiven Wirkung bei der Therapie von Erkrankungen des Verdauungstrakts auch verschiedene vorteilhafte Effekte, wie eine beschleunigte Wundheilung, die Unterdrückung von Inflammationen, ein geringeres Infektionsrisiko und einen geringeren Bedarf an Antibiotika. Es wurde berichtet, dass die orale Einnahme von Probiotika bei der Behandlung kutaner Erkrankungen wie Akne, Psoriasis und atopischer Dermatitis wirksam sein kann. Darüber hinaus kann die topische Verabreichung von Probiotika ein positives bakterielles Gleichgewicht schaffen, pathologische Zustände beseitigen und sich somit günstig auf die Therapie dermatologischer Krankheiten auswirken. Das Interesse an der Wirkung des kutanen Mikrobioms und topischer Probiotika bei der Behandlung von Hautkrankheiten hat in letzter Zeit zugenommen. Hierfür wurden 21 klinische Studien und ein Fallbericht in der PubMed‐Datenbank über die Verwendung topischer Probiotika bei dermatologischen Erkrankungen evaluiert.
An experiment on the stability of business environment perceptions in a firm survey
Authors: Islam Asif M. , Rodriguez Meza Jorge 
Published: September 2024

AbstractPerception‐based survey questions have been widely employed to evaluate the business environment. In the World Bank Enterprise Surveys, such questions involve rating an element of the business environment at the end of each section of the survey instrument. They often elicit responses inconsistent with similar questions based on the firm's experience over a specific timeframe. In this study, an experiment is analysed that randomizes the placement order of the perception‐based questions either at the end of a section or at the beginning of the survey. Significant question‐order effects are uncovered for perceptions of corruption (9%–13% point) and business licencing and permits (7%–8% point) but not the other elements after accounting for a variety of factors; there are no questions‐order effects for experience‐based questions. The study recommends that analyses in these two areas validate perception‐based questions with corresponding experience‐based questions. This adds to a larger literature that emphasizes the importance of data quality and its far‐reaching economic benefits especially in guiding policy.