bluuebunny/crossref_metadata_2025_split huggingface dataset:
The clinical and genetic spectrum of paediatric speech and language disorders in 52,143 individuals
Authors: Magielski Jan , Ruggiero Sarah M. , Xian Julie , Parthasarathy Shridhar , Galer Peter , Ganesan Shiva , Back Amanda , McKee Jillian , McSalley Ian , Gonzalez Alexander K. , Morgan Angela , Donaher Joseph , Helbig Ingo 
Published: April 2024

AbstractSpeech and language disorders are known to have a substantial genetic contribution. Although frequently examined as components of other conditions, research on the genetic basis of linguistic differences as separate phenotypic subgroups has been limited so far.Here, we performed an in-depth characterization of speech and language disorders in 52,143 individuals, reconstructing clinical histories using a large-scale data mining approach of the Electronic Medical Records (EMR) from an entire large paediatric healthcare network.The reported frequency of these disorders was the highest between 2 and 5 years old and spanned a spectrum of twenty-six broad speech and language diagnoses. We used Natural Language Processing to assess to which degree clinical diagnosis in full-text notes were reflected in ICD-10 diagnosis codes. We found that aphasia and speech apraxia could be easily retrieved through ICD-10 diagnosis codes, while stuttering as a speech phenotype was only coded in 12% of individuals through appropriate ICD-10 codes. We found significant comorbidity of speech and language disorders in neurodevelopmental conditions (30.31%) and to a lesser degree with epilepsies (6.07%) and movement disorders (2.05%). The most common genetic disorders retrievable in our EMR analysis wereSTXBP1(n=21),PTEN(n=20), andCACNA1A(n=18). When assessing associations of genetic diagnoses with specific linguistic phenotypes, we observed associations ofSTXBP1and aphasia (P=8.57 x 10-7, CI=18.62-130.39) andMYO7Awith speech and language development delay due to hearing loss (P=1.24 x 10-5, CI=17.46-Inf). Finally, in a sub-cohort of 726 individuals with whole exome sequencing data, we identified an enrichment of rare variants in synaptic protein and neuronal receptor pathways and associations ofUQCRC1with expressive aphasia andWASHC4with abnormality of speech or vocalization.In summary, our study outlines the landscape of paediatric speech and language disorders, confirming the phenotypic complexity of linguistic traits and novel genotype-phenotype associations. Subgroups of paediatric speech and language disorders differ significantly with respect to the composition of monogenic aetiologies.
The Causal Association between Gut Microbiota and Pancreatic Cancer: A Two-sample Mendelian Randomization Analysis in European and East Asian Populations
Authors: Xiao Yinbo , Li Xiang , Zou Long , Wall Daniel M. , Liang Zhiyong 
Published: April 2024

AbstractBackground and AimAlterations in the gut microbiota strongly correlate with the onset of pancreatic cancer (PC). However, any causal relationship between gut microbiota alterations and PC risk remains unknown.MethodsWe comprehensively investigated PC-related microorganisms in European and East Asian populations through the application of Mendelian randomization (MR). The PC genome-wide association study (GWAS) databases for European and East Asian individuals were acquired from the UK and Japanese Biobanks, respectively. Primary analytical methods, including the inverse variance weighted (IVW) method, weighted median, Maximum likelihood method and MR PRESSO, were employed to estimate the potential causal association between gut microbiota and PC. Additionally, we performed sensitivity analysis and reverse MR analysis.ResultsBy IVW method, overall 17 bacterial taxa were identified with potential causal correlations to PC. The PC-associated gut microbiota signatures varied across different populations. Among these, 4 specific taxa exhibited potential causality with PC, with statistical significance in all four MR methods. Specifically, theAlcaligenaceaefamily was identified as protective, while genusSutterella, orderBacillialesand genusEnterohabduswere associated with increased risk of PC. Among the European population within the UK biobank, theAlcaligenaceaefamily, genusSutterella, and orderBacillaleswere connected to PC, while genusEnterohabduswas linked to PC in the Japanese cohort.ConclusionOur study implicates certain members of the gut microbiota in PC onset based on genetics. Further investigations of the gut-pancreas axis may lead to the development of novel microbiome targeted prevention strategies for PC.
A One-Arm Pilot Trial of a Telehealth CBT-Based Group Intervention Targeting Transdiagnostic Risk for Emotional Distress
Authors: Flynt Sierra , Koscinski Brandon , Accorso Catherine , Knapp Ashley , Gorka Stephanie , Suhr Julie , Austin Megan , Allan Nicholas P. 
Published: April 2024

AbstractThe COVID-19 pandemic had a significant impact on mental health, straining an already overburdened healthcare system. A modular, transdiagnostic approach to treating psychopathology may be ideal to target common transdiagnostic risk factors for emotional distress and related disorders likely to be impacted by circumstances related to this once-in-a-lifetime environmental stressor. Anxiety sensitivity (AS), or fear of anxious arousal, intolerance of uncertainty (IU), or distress when confronted with uncertainty, and loneliness are three transdiagnostic risk factors impacted by the pandemic and robust predictors of emotional distress beyond that. We completed a pilot feasibility, acceptability, and utility trial of Coping Crew, our group, telehealth-delivered transdiagnostic treatment protocol in 17 participants who completed the intervention (Mage = 22.00,SD= 4.46; 71% female). The intervention and study protocol were feasible to deliver and were rated as acceptable and useful to address intervention targets. Evidence was mixed regarding feasibility, acceptability, and usefulness of the mobile app component. Sixteen of 17 participants (94%) completed at least one survey a day on 80% of the days but only 6 participants (35%) completed at least 80% of the mobile app surveys delivered over the course of the intervention. Most participants rated use of the app as acceptable and relevant to psychological improvements made due to the intervention. Sizeable effect size reductions in transdiagnostic risk factors were found at post-intervention and maintained at 1- and 3-month follow-up, supporting next steps in the development of this modular transdiagnostic treatment.
How to prompt brand love and eWOM intention? Exploring the role of brand interactivity, consumer involvement and consumer brand engagement
Authors: Gao Siyu , Shao Bilin 
Published: April 2024

PurposeThe purpose of this study is to investigate how consumer brand engagement (CBE) promotes brand love and eWOM within the influence of brand interactivity and consumer involvement, especially in the context of the smartphone industry and Chinese social media marketing. This study also examines the important role of brand love and gender in this relationship.Design/methodology/approachData from 403 participants who are followers of the smartphone brand’s social media page was collected via an online survey. PLS-SEM was also used for examining the research model.FindingsThe findings of this research reveal that the (perceived) brand interactivity, and consumer involvement, are key factors influence CBE. As expected, brand love and consumers’ eWOM intention are significant outcomes of CBE. In particular, the relationship between CBE and consumers’ eWOM intention is mediated by brand love. However, gender did not moderate the proposed relationships.Originality/valueBy integrating social exchange theory and attribution theory, this study deepens the understanding of CBE and brand love by examining the relationship between brand interactivity, consumer involvement, CBE, brand love and eWOM in the context of smartphone and Chinese social media marketing.
3D electromagnetic analytical model for radial-flux eddy-current couplers
Authors: Messadi Mohammed , Hadjout Larbi , Takorabet Noureddine 
Published: April 2024

Purpose
This paper aims to develop a new 3D analytical model in cylindrical coordinates to study radial flux eddy current couplers (RFECC) while considering the magnetic edge and 3D curvature effects, and the field reaction due to the induced currents.

Design/methodology/approach
The analytical model is developed by combining two formulations. A magnetic scalar potential formulation in the air and the magnets regions and a current density formulation in the conductive region. The magnetic field and eddy currents expressions are obtained by solving the 3D Maxwell equations in 3D cylindrical coordinates with the variable separation method. The torque expression is derived from the field solution using the Maxwell stress tensor. In addition to 3D magnetic edge effects, the proposed model takes into account the reaction field effect due to the induced currents in the conducting part. To show the accuracy of the developed 3D analytical model, its results are compared to those from the 3D finite element simulation.

Findings
The obtained results prove the accuracy of the new developed 3D analytical model. The comparison of the 3D analytical model with the 2D simulation proves the strong magnetic edge effects impact (in the axial direction) in these devices which must be considered in the modelling. The new analytical model allows the magnetic edge effects consideration without any correction factor and also presents a good compromise between precision and computation time.

Practical implications
The proposed 3D analytical model presents a considerably reduced computation time compared to 3D finite element simulation which makes it efficient as an accurate design and optimization tool for radial flux eddy current devices.

Originality/value
A new analytical model in 3D cylindrical coordinates has been developed to find the electromagnetic torque in radial flux eddy current couplers. This model considers the magnetic edge effects, the 3D curvature effects and the field reaction (without correction factors) while improving the computation time.
A bibliometric analysis of economic freedom: current status and future research directions
Authors: Sharma Anand 
Published: April 2024

PurposeThe purpose of this study is to examine and identify the predominant themes in the literature on economic freedom. The paper also highlights the key journals, leading authors, top countries and organisations in the literature on economic freedom.Design/methodology/approachThis paper uses the Scopus database to examine 1,512 articles covering the disciplines of economics, finance, business and social sciences from 1942 to 2022. Vosviewer software is used for creating bibliometric networks.FindingsThe findings suggest that significant growth in the economic freedom literature has occurred in the last ten years. Considerable attention has been devoted to examining the relationship between economic freedom and growth. The paper also finds that most of the research on economic freedom has been undertaken in the context of developed countries.Originality/valueThis study is one of the first attempts to undertake a bibliometric analysis of economic freedom. The article also highlights the less-researched areas in the literature and thus provides directions for future research.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0690.
Actions speak: personality, nonverbal behaviors, and self-perceptions of vulnerability in college-aged women
Authors: Stewart Jayme , Swanek Jessie , Forth Adelle 
Published: April 2024

Purpose
Despite representing a relatively small portion of the population, those who experience repeat victimization make up a significant share of all sexual and violent crimes, implying that perpetrators target them repeatedly. Indeed, research reveals specific traits (e.g. submissiveness) and behaviors (e.g. gait) related to past victimization or vulnerability. The purpose of this study is to explore the link between personality traits, self-assessed vulnerability and nonverbal cues.

Design/methodology/approach
In all, 40 undergraduate Canadian women were videotaped while recording a dating profile. Self-report measures of assertiveness, personality traits and vulnerability ratings for future sexual or violent victimization were obtained following the video-recording. The videotape was coded for nonverbal behaviors that have been related to assertiveness or submissiveness.

Findings
Self-perceived sexual vulnerability correlated with reduced assertiveness and dominance and increased emotionality (e.g. fear and anxiety). Additionally, nonverbal behaviors differed based on personality traits: self-touch was linked to lower assertiveness, dominance and extraversion and higher submissiveness, emotionality and warm-agreeableness.

Originality/value
To the best of the authors’ knowledge, this is the first study of its kind to consider the relationships between personality, self-perceived vulnerability and nonverbal behaviors among college-aged women. Potential implications, including enhancing autonomy and self-efficacy, are discussed.
Short-term effects of productive credit, savings and money demand on Ecuador’s economic growth, 2006–2020
Authors: Urdaneta Montiel Armando , Borgucci Garcia Emmanuel Vitorio , Camino-Mogro Segundo 
Published: April 2024

PurposeThis paper aims to determine causal relationships between the level of productive credit, real deposits and money demand – all of them in real terms – and Gross National Product between 2006 and 2020.Design/methodology/approachThe vector autoregressive technique (VAR) was used, where data from real macroeconomic aggregates published by the Central Bank of Ecuador (BCE) are correlated, such as productive credit, gross domestic product (GDP) per capita, deposits and money demand.FindingsThe results indicate that there is no causal relationship, in the Granger sense, between GDP and financial activity, but there is between the growth rate of real money demand per capita and the growth rate of total real deposits per capita.Originality/valueThe study shows that bank credit mainly finances the operations of current assets and/or liabilities. In addition, economic agents use the banking system mainly to carry out transactional and precautionary activities.
Does the Too-Big-To-Fail status affect depositor’s discipline: a Gaussian mixture model algorithm approach
Authors: Jain Arushi 
Published: April 2024

PurposeThis study empirically demonstrates a contradiction between pillar 3 of Basel norms III and the designation of Systemically Important Banks (SIBs), also known as Too Big to Fail (TBTF). The objective of this study is threefold, which has been approached in a phased manner. The first is to determine the systemic importance of the banks under study; second, to examine if market discipline exists at different levels of systemic importance of banks and lastly, to examine if the strength of market discipline varies at different levels of systemic importance.Design/methodology/approachThis study is based on all the public and private sector banks operating in the Indian banking sector. The Gaussian Mixture Model algorithm has been utilized to classify banks into distinct levels of systemic importance. Thereafter, market discipline has been observed by analyzing depositors' sentiments toward banks' risk (CAMEL indicators). The analysis has been performed by employing the system Generalized Method of Moments (GMM) to estimate models with different dependent variables.FindingsThe findings affirm the existence of market discipline across all levels of systemic importance. However, the strength of market discipline varies with the systemic importance of the banks, with weak market discipline being a negative externality of the SIBs designation.Originality/valueBy employing the Gaussian Mixture Model algorithm to develop a framework for categorizing banks on the basis of their systemic importance, this study is the first to go beyond the conventional method as outlined by the Reserve Bank of India (RBI).
Collective intelligence for fighting food waste: changing the way things are done with participatory design
Authors: Brennan Linda , Micallef David , Jenkins Eva L. , Parker Lukas , Alessi Natalia 
Published: April 2024

PurposeThis study aims to explore the use of a double diamond design method to engage the industry in a sector-wide response to the issues of food waste as constructed by consumers. This particular design method is achieved by an exploration of a collective intelligence-participatory design (CIPD) project to engage industry participants in understanding and responding to consumers’ perceptions of the role of packaging in reducing food waste.Design/methodology/approachUsing the UK Design Council’s double diamond design method as a guiding conceptual principle, the project recruited industry participants from medium to large food businesses across various food categories. Two scoping workshops with industry were held prior to the initiation of a 12-stage project (n= 57), and then two industry workshops were held (n= 4 and 14). Eighty participants completed an online qualitative survey, and 23 industry participants took part in a Think Tank Sprint Series. The Think Tanks used participatory design approaches to understand barriers and opportunities for change within food industry sub-sectors and test the feasibility and acceptability of package designs to reduce consumer waste.FindingsFor CIPD to work for complex problems involving industry, it is vital that stakeholders across macro- and micro-subsystems are involved and that adequate time is allowed to address that complexity. Using both the right tools for engagement and the involvement of the right mix of representatives across various sectors of industry is critical to reducing blame shift. The process of divergence and convergence allowed clear insight into the long-term multi-pronged approach needed for the complex problem.Originality/valueParticipatory design has been useful within various behaviour change settings. This paper has demonstrated the application of the double diamond model in a social marketing setting, adding value to an industry-wide project that included government, peak bodies, manufacturing and production and retailers.
Influence of the demand side management on the daily performance of microgrids in smart environments using grey wolf optimizer
Authors: Jouma Haider , Mansor Muhamad , Abd Rahman Muhamad Safwan , Jia Ying Yong , Mokhlis Hazlie 
Published: April 2024

PurposeThis study aims to investigate the daily performance of the proposed microgrid (MG) that comprises photovoltaic, wind turbines and is connected to the main grid. The load demand is a residential area that includes 20 houses.Design/methodology/approachThe daily operational strategy of the proposed MG allows to vend and procure utterly between the main grid and MG. The smart metre of every consumer provides the supplier with the daily consumption pattern which is amended by demand side management (DSM). The daily operational cost (DOC) CO2 emission and other measures are utilized to evaluate the system performance. A grey wolf optimizer was employed to minimize DOC including the cost of procuring energy from the main grid, the emission cost and the revenue of sold energy to the main grid.FindingsThe obtained results of winter and summer days revealed that DSM significantly improved the system performance from the economic and environmental perspectives. With DSM, DOC on winter day was −26.93 ($/kWh) and on summer day, DOC was 10.59 ($/kWh). While without considering DSM, DOC on winter day was −25.42 ($/kWh) and on summer day DOC was 14.95 ($/kWh).Originality/valueAs opposed to previous research that predominantly addressed the long-term operation, the value of the proposed research is to investigate the short-term operation (24-hour) of MG that copes with vital contingencies associated with selling and procuring energy with the main grid considering the environmental cost. Outstandingly, the proposed research engaged the consumers by smart meters to apply demand-sideDSM, while the previous studies largely focused on supply side management.
Do proportions of rooting ramets in the clone affect the overall growth of the stoloniferous clonal plant Zoysia japonica?
Authors: Chen Jing , Li De‐Zhi , Yun Xiao‐Tao , Wang Ying , Li Ling‐Ling , Jia Jing , Rasool Samreen Ghulam 
Published: April 2024

AbstractIt is naturally common that different proportions of ramets in a clone lose rooting conditions due to habitat stress or obstacles, which potentially affects the overall growth of the clonal plant to different extents. However, so far, little attention has been paid to such phenomena and much less to the underlying ecological mechanisms. Taking Zoysia japonica as material, through an experiment with two nutrition levels in the habitats and five rooting ramet proportions in the clones, the impacts of proportions of rooting ramets in the clone on the overall growth were tested and the ecological mechanisms were analyzed. The results showed that there was no significant difference in the total clonal biomasses among the clones with five rooting ramet proportions under high and low nutrition levels, except for that with 0% rooting ramet proportion. Under both high and low nutrition levels, the lower rooting ramet proportions (0% and 25%) in the clones significantly decreased the number of the so‐called A‐ and B‐ramets, root biomass, stolon length per unit biomass, and root–shoot ratio, but significantly increased the stolon biomass of the clones. Stolon elongation was promoted under high nutrient level, and biomass allocations to stolons and roots increased under low nutrition levels. A‐ramet biomasses accounted for about 50% and 30% of the total biomasses of the whole clone under high and low nutrition levels, respectively. These results might be reasonably explained in terms of clonal integration, compensatory growth, division of labor, and bet‐hedging strategy.