bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pediatrician and parental evaluation of child neurodevelopment at 2 years of age
Authors: Segre Giulia , Clavenna Antonio , Roberti Elisa , Scarpellini Francesca , Cartabia Massimo , Pandolfini Chiara , Tessarollo Valeria , Costantino Ilaria , Bonati Maurizio 
Published: March 2023

AbstractObjectiveTo assess the feasibility of a shared approach combining the clinical expertise of family pediatricians and parents’ perspectives in identifying potential disorders in children using standard clinical practice tools.Study designWithin the NASCITA birth cohort, in addition to the family pediatrician’s clinical evaluation, the M-CHAT-R was completed by parents to assess the child’s language, social skills, behavior, and sensory areas. Parents were also asked to complete the PSI-SF to verify the magnitude of stress in the parent-child system. Univariate and multivariate analyses were performed to evaluate the association between child and parental characteristics and the presence of warning signs.ResultsThe follow-up assessment was completed for 435 infants: 69 (15.8%) presented warning signs: 43 in the pediatrician’s assessment and 36 in the M-CHAT-R (10 in both). A total of 16 children (14 with warning signs) received a diagnosis after a specialist evaluation.Being male (OR=2.42, 95%CI: 1.20-4.86) and having sleep disorders (OR=2.48, 95% CI 1.19-5.71) was associated with a greater likelihood of warning signs in the multivariate analysis, while reading aloud was a protective factor (not exposed versus exposed (OR=3.14; 95% CI 1.60-6.17).For 73 children (18.4%), at least one parent tested positive for PSI-SF. An increased prevalence of parental distress was observed in children with warning signs (OR 2.36, 95% CI 1.27-4.37).ConclusionsIntegrating physician and parental perspectives during well-child visits and in clinical practice appears feasible and can improve the identification of children at risk of developmental disorders.
Macroscale traveling waves evoked by single-pulse stimulation of the human brain
Authors: Campbell Justin M. , Davis Tyler S. , Nesterovich Anderson Daria , Arain Amir , Davis Zac , Inman Cory S. , Smith Elliot H. , Rolston John D. 
Published: March 2023

AbstractUnderstanding the spatiotemporal dynamics of neural signal propagation is fundamental to unraveling the complexities of brain function. Emerging evidence suggests that cortico-cortical evoked potentials (CCEPs) resulting from single-pulse electrical stimulation may be used to characterize the patterns of information flow between and within brain networks. At present, the basic spatiotemporal dynamics of CCEP propagation cortically and subcortically are incompletely understood. We hypothesized that single-pulse electrical stimulation evokes neural traveling waves detectable in the three-dimensional space sampled by intracranial stereoelectroencephalography. Across a cohort of 21 adult patients with intractable epilepsy, we delivered 17,631 stimulation pulses and recorded CCEP responses in 1,019 electrode contacts. The distance between each pair of electrode contacts was approximated using three different metrics (Euclidean distance, path length, and geodesic distance), representing direct, tractographic, and transcortical propagation, respectively. For each robust CCEP, we extracted amplitude-, spectral-, and phase-based features to identify traveling waves emanating from the site of stimulation. Many evoked responses to stimulation appear to propagate as traveling waves (∼14-28%), despite sparse sampling throughout the brain. These stimulation-evoked traveling waves exhibited biologically plausible propagation velocities (range 0.1-9.6 m/s). Our results reveal that direct electrical stimulation elicits neural activity with variable spatiotemporal dynamics, including the initiation of neural traveling waves.Significance StatementUsing single-pulse stimulation, we identify a subset of intracranial evoked potentials that propagate as neural traveling waves. Our results were robust across a range of distinct but complementary analysis methods. The identification of stimulation-evoked traveling waves may help to better characterize the pathways traversed by spontaneous, pathological, or task-evoked traveling waves and distinguish biologically plausible propagation from volume-conducted signals.
Ric8 proteins as the neomorphic partners of Gαo inGNAO1encephalopathies
Authors: Solis Gonzalo P. , Koval Alexey , Valnohova Jana , Savitsky Mikhail , Katanaev Vladimir L. 
Published: March 2023

AbstractGNAO1mutated in pediatric encephalopathies encodes the major neuronal G-protein Gαo. Of >40 pathogenic mutations, most are single amino acid substitutions spreading across Gαo sequence. We perform extensive characterization of Gαo mutants showing abnormal GTP uptake and hydrolysis, and deficiencies to bind Gβγ and RGS19. Plasma membrane localization of Gαo is decreased for a subset of mutations that leads to epileptic manifestations. Pathogenic mutants massively gain interaction with Ric8A/B proteins, delocalizing them from cytoplasm to Golgi. Being general Gα-subunit chaperones and binding multiple other proteins, Ric8A/B likely mediate the disease dominance when engaging in neomorphic interactions with pathogenic Gαo. As the strength of Gαo-Ric8B interactions correlates with disease severity, our study further identifies an efficient biomarker and predictor for clinical manifestations inGNAO1encephalopathies.One-Sentence SummaryNeomorphic mutations in Gαo gain dominant interactions with Ric8A/B, correlating with severity in pediatric encephalopathies.
Aviation risk prediction based on Prophet–LSTM hybrid algorithm
Authors: Su Siyu , Sun Youchao , Zeng Yining , Peng Chong 
Published: March 2023

PurposeThe use of aviation incident data to carry out aviation risk prediction is of great significance for improving the initiative of accident prevention and reducing the occurrence of accidents. Because of the nonlinearity and periodicity of incident data, it is challenging to achieve accurate predictions. Therefore, this paper aims to provide a new method for aviation risk prediction with high accuracy.Design/methodology/approachThis paper proposes a hybrid prediction model incorporating Prophet and long short-term memory (LSTM) network. The flight incident data are decomposed using Prophet to extract the feature components. Taking the decomposed time series as input, LSTM is employed for prediction and its output is used as the final prediction result.FindingsThe data of Chinese civil aviation incidents from 2002 to 2021 are used for validation, and Prophet, LSTM and two other typical prediction models are selected for comparison. The experimental results demonstrate that the Prophet–LSTM model is more stable, with higher prediction accuracy and better applicability.Practical implicationsThis study can provide a new idea for aviation risk prediction and a scientific basis for aviation safety management.Originality/valueThe innovation of this work comes from combining Prophet and LSTM to capture the periodic features and temporal dependencies of incidents, effectively improving prediction accuracy.
A multi-objective grey hierarchical group consensus model and its application
Authors: Gu Sheng-qiang , Liu Yong , Diao Weixue 
Published: March 2023

PurposeThe paper attempts to construct a novel multi-objective grey hierarchical group consensus approach to deal with the group consensus problems consisting of hierarchical relationship and non-cooperative behaviors among decision makers (DMs).Design/methodology/approachTo deal with these group consensus problems consisting of hierarchical relationship and non-cooperative behaviors among DMs non-cooperative behavior in uncertain information systems, considering the influence of coordination cost and the degree of group consensus, based on the idea of grey situation decision-making, the authors establish a multi-objective grey hierarchical group consensus model, and design different invalid decision elimination rules for decision-making groups of different sizes, and use a case verifies the effectiveness and feasibility of the model.FindingsWith the continuous improvement of the coordination cost budget, the degree of consensus of all departments and the overall consensus tend to be stable, and will no longer change with the increase of the coordination cost budget. The cost required by each department is basically consistent with the response trend of the cost required to coordinate the overall situation to the pre-set lower limit of group consensus.Originality/valueThe proposed approach can succeed in identifying DMs' information, and mine the DMs' information and help make a relatively more scientific decision.
The decision-making process regarding the continuance intention of using branded apps: an integrated approach to the PAM and the TPB
Authors: Cho Sun-Ae , Jeon Yu Jung Jennifer 
Published: March 2023

Purpose
As branded apps emerge as a marketing tool in the foodservice industry, the effort to manage them increases in the long term. This study aims to explore the determinants to continue the use of foodservice apps by adopting the post-acceptance model (PAM) of information systems continuance and the theory of planned behavior (TPB).

Design/methodology/approach
Based on a sample from a survey of 329 participants who use foodservice apps, a structural equation model analysis tested the relationships between the core constructs of both models.

Findings
The findings revealed the user confirmation of expectation leads to continued use of the app through satisfaction. Perceived usefulness, a key technology acceptance measure, however, has no direct effect on usage but on attitude. Among the salient behavioral beliefs of the TPB, only attitude and perceived behavioral control promoted continued use of the foodservice apps.

Practical implications
The study provided a framework to establish a practical strategy for foodservice firms by specifying important aspects, which induce the use of branded apps. Given that it is vital to meet users’ expectations to build branded-app loyalty, continuous interaction with users is required along with customized marketing.

Originality/value
On the basis of the PAM and the TPB, the findings contributed to developing and testing a model that motivates users to continue the use of foodservice branded apps. The study is significant, in that it enriched the PAM by integrating cognitive aspects to explore the psychological mechanisms in the post-adoption phase of foodservice app users.
Digital resilience and new business models in the post-COVID-19 scenario: from B2B perspective in the era of knowledge economy
Authors: Chatterjee Sheshadri , Chaudhuri Ranjan , Vrontis Demetris 
Published: March 2023

PurposeThe purpose of this study is to examine how the pandemic impacted on business-to-business (B2B) cooperation and coordination, as well as on firms' financial and operational performance, from the B2B context in the era of knowledge economy.Design/methodology/approachWith the help of social network theory, coordination theory and existing literature, a theoretical model was developed conceptually. Later, the conceptual model was validated using structural equation modelling technique with consideration of 712 respondents from different firms who are engaged in managing B2B relationships on behalf of their firms.FindingsThe study found that the COVID-19 pandemic has had a considerable moderating impact on the relationship between B2B cooperation and coordination with B2B relationship satisfaction. The study also highlighted that there is a degradation of financial and operational performance of firms due to the impact of COVID-19 pandemic on their B2B relationship management.Practical implicationsThere is a challenging and ever-evolving global economy caused by the COVID-19 pandemic. Although it is argued that the pandemic has accelerated the growth of some online firms, it has also had a catastrophic effect, culminating in many firms failing. This study has developed a new business model which helps in improving financial as well as operational performance of the firms in post COVID-19 scenario, especially in the era of knowledge economy.Originality/valueThis is a unique study as this study (1) develops a unique theoretical model with high explanative power, (2) demonstrates how digital reliance and new business model help the firms in post COVID-19 pandemic and (3) adds to the body of literature in the domain of digital reliance, knowledge economy and B2B relationship management.
Identifying the key influencing factors for the growth of air cargo demand
Authors: Karunathilake Amani Natheesha , Fernando Anuja 
Published: March 2023

Purpose
Air transport accounts for nearly 40% worth of the global trade cargo volume, where more than 50% of the air cargo is carried on passenger flights. Therefore, this paper aims to focus on identifying the influencing factors for both passenger and cargo demand-driven networks to smoothen the global supply chain.

Design/methodology/approach
The data for the study was collected through literature reviews and interviews with industry experts. The analytical hierarchy process was used to analyze the expert's opinions on the critical factors affecting air cargo demand growth. Regression analysis was conducted using the selected variables to develop a model to calculate air cargo demand growth.

Findings
According to the expert opinion, it was identified that facilities under airport capacities and facilities are mainly affected by the air cargo carried by combi carriers. The model was developed considering the air connectivity index and air cargo demand at destination variables.

Research limitations/implications
The factors identified here are mainly related to the current situation in Sri Lanka. Applying this methodology to other economic zones will add new factors related to their economic contexts and could be generalized as the influencing factors for the growth of air cargo demand by finding more results.

Originality/value
Previous studies have been conducted using different factors and models to forecast air cargo demand, and those did not consider demand from combi and all-cargo carriers together. More than 98% of air cargo trades in Sri Lanka are happening through combi carriers. Hence, Sri Lanka will be a best case study to analyze the behavior of combi carriers.
Looking at the tourism industry through the lenses of industry 4.0: a bibliometric review of concerns and challenges
Authors: Gomes Sofia , Lopes João M. , Ferreira Luís 
Published: March 2023

PurposeThe technological and digital revolution has introduced important changes in the tourism industry. However, capturing the extent of the new tourism 4.0 paradigm is still difficult. This study aims to assess the dimensions related to the concepts of industry 4.0 in tourism and hospitality, tourism innovation and tourism ecosystem when considered simultaneously, and their role in promoting a new wave of competitiveness in the tourism industry.Design/methodology/approachA bibliometric study was conducted based on tourism 4.0, hotel 4.0, tourism innovation and tourism ecosystem using 120 eligible articles published between 2008 and 2021 from the Web of Science database.FindingsThis study demonstrated the advances in industry 4.0 in tourism and hospitality publications over 13 years and identified five interconnected dimensions: (1) knowledge transfer in tourism; (2) networking tourism innovation; (3) sources of tourism innovation; (4) smart tourism ecosystem and (5) innovation research in tourism. It was also concluded that tourism development should be a regional competence based on strategic networking and externalisation of regional knowledge flows.Research limitations/implicationsThis bibliometric review provides important implications and recommendations for several players of industry 4.0 in tourism and hospitality and policymakers. Not only did it make it possible to create a state of art, but also to categorise the existing interconnections between the dimensions of Tourism 4.0, Hotel 4.0, Tourism innovation and Tourism ecosystem to optimise its implementation and generate greater value. In addition, practical implications were inferred that improve the tourism sector’s competitiveness, helping strategic decision-making at the level of policymakers and actors in this sector.Practical implicationsApart from state of the art, this bibliometric review made it possible to categorise the existing interconnections between the dimensions of tourism 4.0, hotel 4.0, tourism innovation and tourism ecosystem to optimise its implementation and generate greater value. Practical implications were inferred that improve the tourism sector’s competitiveness, helping strategic decision-making at the level of policymakers and several players in this sector.Originality/valueThis study addresses the existing literature gap in the interconnection of industry 4.0 with tourism and hospitality by describing the most relevant conceptual interconnections and setting practical implications for improving the competitiveness of the tourism industry. Furthermore, it integrates previous studies and outlines future lines of investigation.
Leisure time posts on WhatsApp status drive travel and tourism consumption
Authors: Agrawal Shiv Ratan , Mittal Divya 
Published: March 2023

PurposeThe present study aims to examine whether leisure time posts shared on WhatsApp status drive to travel and tourism consumption among users.Design/methodology/approachIn this study, discriminant analysis was employed to test hypotheses and identify essential factors.FindingsThe study indicated that the eight most contributing factors are expressing happiness, planning leisure time, views and comments, attractiveness, inquiring about places, preferring to post, nice way of expression and relax. These factors came from the latent variables of attitude, motivation and self-expression. Overall, the main influencing factors are internal (attitude and motivation), followed by an external factor i.e. self-expression. Additionally, the findings indicated that these significantly and positively impact travel and tourism consumption.Practical implicationsThe discriminators identified in the study would guide tour and travel agencies and the agencies' managers on how best to adopt WhatsApp and WhatsApp's status application to influence aspiring travelers.Originality/valueThis study enlarges the existing literature by integrating three factors, attitude, motivation and self-expression, into a model to influence the behavioral outcomes of aspirational travelers using WhatsApp status.
Knowledge exchange in SMEs service innovation with design thinking
Authors: Gao Bin , Yu Kaidong 
Published: March 2023

PurposeThis study, adopting a knowledge perspective, aims to explore how small- and medium-sized enterprises (SMEs) engage in service innovation by implementing design thinking.Design/methodology/approachA qualitative research methodology and a multiple case study strategy were adopted on account of the exploratory nature of this study. Three cases based in Scotland have been selected. Data were collected from staff, managers and researchers who participated in Create Cultures of Innovation (CCoI), a project sponsored by the Scottish government.FindingsThe research shows that SMEs can be enabled, through design-led interventions, to think collaboratively and leverage knowledge to achieve service innovation.Research limitations/implicationsThis research contributes to the service innovation literature by theorising an integrated research framework of “Knowledge exchange in SMEs service innovation with design thinking”. Further, this study enriches the extant understanding of service innovation in the traditional sector (manufacturing and hospitality) and redefines the roles and relations of the dimensions of service innovation.Practical implicationsThis study addresses the call on tools and methods for servitisation, suggesting that changing the culture and mindsets of both the top management and the staff are critical for the success of servitisation and the implementation of design thinking. In addition, this research suggests the need to embed design thinking within the leadership prior to rolling it out to the wider public. Support from the top management should focus on both the engagement of staff and the changing of vision from product to service-focused.Originality/valueThis paper gets together service innovation, design thinking and knowledge exchange in the context of manufacturing SMEs offering novel insights into how to succeed in servitisation with the implementation of design thinking.
Creating competitive advantage through entrepreneurial factors, collaboration and learning
Authors: Liu Chih-Hsing , Horng Jeou-Shyan , Chou Sheng-Fang , Zhang Shu-Ning , Lin Jun-You 
Published: March 2023

PurposeThe purpose of this study was to explore the influence of entrepreneurial attitudes, motivation and orientation on the entrepreneurial competitive advantage of innovative entrepreneurs in the tourism and hospitality industry, including those involved with bed and breakfasts, travel agencies and restaurants.Design/methodology/approachFirst, the sample for this study was selected through news media reporting on well-known new entrepreneurs, from lists of those entrepreneurs who have won innovation entrepreneurship loan subsidies from the government and from lists of those who have won innovation awards. Second, a pretest was used to confirm the feasibility of the questionnaire. The pretest survey was distributed to a total of 150 tourism and hospitality entrepreneurs. A total of 8 dimensions/facets and 36 items were confirmed. Finally, data collection took place for 9 months. A total of 1,150 questionnaires were distributed, and 606 questionnaires were recovered.FindingsThis study proposes a new multi-integration model of moderation-mediation analysis. The innovative business model explores the relationship between entrepreneurial factors and competitive advantage. Based on a survey of 606 staff members and managers of tourism and hospitality firms, entrepreneurs in the tourism and hospitality industry with entrepreneurial attitudes and motives had opportunities to increase their entrepreneurial orientation.Practical implicationsIn the process of innovative entrepreneurship, whether through organizational learning or other enterprise cooperation, it is necessary to pay more attention and propose different environmental management strategies. In addition, this study also found that marketing uncertainty moderates between entrepreneurial attitudes and entrepreneurial motives. Entrepreneurial motives are more conservative than other motives, and there is increased confidence in investing in innovative entrepreneurship in stable environments.Originality/valueThis study indicates that innovative entrepreneurial tourism and hospitality firms have a mediating or moderating effect on the relationship between entrepreneurial attitudes and positional advantage. If used properly, these resources can help the new entrants in the tourism and hospitality sector avoid the limitations of environmental change, firm size or insufficient information and improve their competitive advantage.