bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychological Contributors to Pain Before, During, and After Endodontic Procedures: A Scoping Review
Authors: Sadr Atieh , Gholamrezaei Ali , McNeilage Amy G. , Randall Cameron L. , Kapos Flavia P. , Peck Christopher C. , Ashton-James Claire E. 
Published: August 2024

AbstractBackgroundDespite an increasingly biopsychosocial approach to pain management in healthcare, the scope of research into the role of psychological factors in endodontic pain is unknown.ObjectivesThis study aimed to identify the scope of research into psychological contributors to pain associated with endodontic procedures, as a first step towards addressing psychological contributors to pain in clinical practice.MethodThis scoping review was conducted and reported according to the JBI Manual for Evidence Synthesis and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (extension for scoping reviews). The data search was conducted in MEDLINE, EMBASE, PsycINFO, Web of Science, Scopus, Cochrane Database of Systematic Reviews, and CINAHL databases. For gray literature, we reviewed reference lists, medRxiv pre-prints, ProQuest and EBSCO theses,ClinicalTrials.govand Cochrane trials (via Ovid), and conference materials via Web of Science and Scopus (from inception to July 2023). Each record was screened by two independent reviewers. Data were extracted by one reviewer and cross-verified by a second reviewer.ResultsForty studies were included in the review. Twelve broad psychological constructs were evaluated in relation to pain for pre-procedural, procedural and post-procedural endodontics: pain expectancies, positive treatment expectancies, depression, anxiety, positive and negative mood (affect), beliefs about pain, desire for control of dental treatments, perceptions of dentists, somatic focus or awareness, pain coping strategies, personality, and psychiatric diagnoses. Pre-procedural pain was most frequently associated with anxiety. Procedural pain was consistently associated with expected pain. Post-procedural pain was associated with expected pain, depression, beliefs about pain, positive treatment expectations, and personality characteristics.ConclusionA variety of psychological factors have been investigated in relation to endodontic pain. Whilst associations between endodontic pain and psychological constructs were found, further research is needed to evaluate the strength of these associations, and the scope of evidence for interventions designed to address these psychological contributors to pain in dental practice.RegistrationThe search protocol was registered on Open Science Framework in 2021 (DOI number: 10.17605/OSF.IO/FSRJP).
Yellow fever outbreak potential in Djibouti, Somalia and Yemen
Authors: Fraser Keith , Cibrelus Laurence , Horton Jennifer , Kodama Chiori , Staples J. Erin , Gaythorpe Katy A. M. 
Published: August 2024

AbstractThe importation of arbovirus diseases into countries where they are not currently endemic is a global concern, driven by human movement and direct and indirect climate change effects. In the World Health Organization Eastern Mediterranean region, three countries - the Republic of Djibouti, the Federal Republic of Somalia, and the Republic of Yemen - are currently considered to be at potential or moderate risk for yellow fever outbreaks, and an assessment for outbreak potential in the event of importation was sought. Djibouti and Somalia share land borders and significant cross-border movement with countries where yellow fever is endemic, while Yemen is currently experiencing a crisis which has severely impacted healthcare infrastructure, and has already seen suspected outbreaks of other similar arboviruses such as dengue, chikungunya and West Nile.Here we present a mathematical modelling assessment of the risk of introduction and propagation of yellow fever in Djibouti, Somalia and Yemen. This modelling has two components: projecting the risk of importation of infectious individuals into individual administrative regions of the countries of interest, and the use of a dynamic yellow fever model to model yellow fever virus transmission within the same regions.We present results showing that certain regions of Djibouti, Somalia and Yemen are at higher risk than others for yellow fever outbreaks, with the risk being higher in some areas such as the western coastal regions of Yemen (an area that has experienced recent outbreaks of other arboviruses), regions of Somalia bordering both the Federal Democratic Republic of Ethiopia and the Republic of Kenya, and Djibouti City.
Personalizing dietary interventions by predicting individual vulnerability to glucose excursions
Authors: Brügger Victoria , Kowatsch Tobias , Jovanova Mia 
Published: August 2024

AbstractElevated postprandial glucose levels pose a global epidemic and are crucial in cardiometabolic disease management and prevention. A major challenge is inter-individual variability, which limits the effectiveness of population-wide dietary interventions. To develop personalized interventions, it is critical to first predict a person’s vulnerability to postprandial glucose excursions—or elevated post-meal glucose relative to a personal baseline—with minimal burden. We examined the feasibility of personalized models to predict future glucose excursions in the daily lives of 69 Chinese adults with type-2 diabetes (Mage=61.5; 50% women; 2’595 glucose observations). We developed machine learning models, trained on past individual context and meal-based observations, employing low-burden (continuous glucose monitoring) or additional high-burden (manual meal tracking) approaches. Personalized models predicted glucose excursions (F1-score:M=74%; median=78%), with some individuals being more predictable than others. The low burden-models performed better for those with consistent meal patterns and healthier glycemic profiles. Notably, no two individuals shared the same meal and context-based vulnerability predictors. This study is the first to predict individual vulnerability to glucose excursions among a sample of Chinese adults with type-2 diabetes. Findings can help personalize just-in-time-adaptive dietary interventions to unique vulnerability to glucose excursions in daily live, thereby helping improve diabetes management.
3-STEP MODEL- AN EXPLORATIVE NOVEL APPROACH TO CLASSIFY SEPSIS: A LONGITUDINAL OBSERVATIONAL STUDY
Authors: Pilania Jaideep , Panda Prasan Kumar , Das Ananya , Chauhan Udit , Ravikant  
Published: August 2024

IntroductionSepsis remains a critical healthcare challenge worldwide, demanding prompt identification and treatment to improve patient outcomes. Given the absence of a definitive gold standard diagnostic test, there is an imperative need for adjunct diagnostic tools to aid in early sepsis detection and guide effective treatment strategies. This study introduces a novel 3-step model to identify and classify sepsis, integrating current knowledge and clinical guidelines to enhance diagnostic precision.MethodsThis longitudinal observational study was conducted at a tertiary care teaching hospital in northern India. Adult patients admitted with suspected sepsis underwent screening using predefined criteria. The 3-step model consisted of Step 1, assessing dysregulated host response using a National Early Warning Score-2 (NEWS-2) score of ≥6; Step 2, evaluating risk factors for infection; and Step 3, confirming infection presence through clinical, supportive, or confirmatory evidence. Patients were categorized into Asepsis, Possible sepsis, Probable sepsis, or Confirmed sepsis at various intervals during hospitalization.ResultsA total of 230 patients were included. Initial categorization on Day 1 showed 13.0% in Asepsis, 35.2% in Possible sepsis, 51.3% in Probable sepsis, and 0.4% in confirmed sepsis. By Day 7, shifts were observed with 49.7% in Asepsis, 9.5% in Possible sepsis, 25.4% in Probable sepsis, and 15.4% in confirmed sepsis. At discharge or death, categories were 60.4% Asepsis, 5.2% Possible sepsis, 21.7% Probable sepsis, and 12.6% Confirmed sepsis. Transitions between categories were noted throughout hospitalisation, demonstrating the dynamic nature of sepsis progression and response to treatment.ConclusionThe 3-step model effectively stratifies sepsis status over hospitalization, facilitating early identification and classification of septic patients. This approach holds promise for enhancing diagnostic accuracy, guiding clinical decision-making, and optimizing antibiotic stewardship practices. Further validation across diverse patient cohorts and healthcare settings is essential to confirm its utility and generalizability.
Self-attention based deep learning model for predicting the coronavirus sequences from high-throughput sequencing data
Authors: Wang ZhenNan , Liu Chaomei 
Published: August 2024

AbstractTransformer models have achieved excellent results in various tasks, primarily due to the self-attention mechanism. We explore using self-attention for detecting coronavirus sequences in high-throughput sequencing data, offering a novel approach for accurately identifying emerging and highly variable coronavirus strains. Coronavirus and human genome data were obtained from the Genomic Data Commons (GDC) and the National Genomics Data Center (NGDC) databases. After preprocessing, a simulated high-throughput sequencing dataset of coronavirus-infected samples was constructed. This dataset was divided into training, validation, and test datasets. The self-attention-based model was trained on the training datasets, tested on the validation and test datasets, and SARS-CoV-2 genome data were collected as an independent test datasets. The results showed that the self-attention-based model outperformed traditional bioinformatics methods in terms of performance on both the test and the independent test datasets, with a significant improvement in computation speed. The self-attention-based model can sensitively and rapidly detect coronavirus sequences from high-throughput sequencing data while exhibiting excellent generalization ability. It can accurately detect emerging and highly variable coronavirus strains, providing a new approach for identifying such viruses.
Bloch equations in terahertz magnetic-resonance ellipsometry
Authors: Rindert Viktor , Richter Steffen , Kühne Philipp , Ruder Alexander , Darakchieva Vanya , Schubert Mathias 
Published: August 2024

A generalized approach derived from Bloch's equation of motion of nuclear magnetic moments is presented to model the frequency, magnetic field, spin density, and temperature dependencies in the electromagnetic permeability tensor for materials with magnetic resonances. The resulting tensor model predicts characteristic polarization signatures which can be observed, for example, in Mueller matrix element spectra measured. When augmented with thermodynamic considerations and suitable Hamiltonian description of the magnetic eigenvalue spectrum, important parameters such as density, spectral amplitude distribution, relaxation time constants, and geometrical orientation parameters of the magnetic moments can be obtained from comparing the generalized model approach to experimental data. We demonstrate our approach by comparing model calculations with full Mueller matrix element spectra measured at an oblique angle of incidence in the terahertz spectral range, across electron spin resonance quintuplet transitions observed in wurtzite-structure GaN doped with iron. Our model correctly predicts the complexity of the polarization signatures observed in the 15 independent elements of the normalized Mueller matrix for both positive and negative magnetic fields and will become useful for future analysis of frequency and magnetic field-dependent magnetic resonance measurements.

Published by the American Physical Society
2024
95 GeV excess in the Georgi-Machacek model: Single or twin peak resonance
Authors: Ahriche Amine 
Published: August 2024

In this work, we investigate the possibility to address the excess observed around 95 GeV in the γγ, ττ, and bb¯ channels as a scalar resonance(s) within the Georgi-Machacek model. In our analysis, we find that the excess can be easily accommodated in the channels (γγ and bb¯) simultaneously, where the 95 GeV candidate is a single peak resonance (SPR) due to a light CP-even scalar. We found that the excess in the ττ channel can be addressed simultaneously with γγ and bb¯ only if the 95 GeV candidate is a twin peak resonance (TPR), i.e., another CP-odd scalar in addition to the CP-even scalar. We demonstrate that the nature of the 95 GeV scalar resonance candidate (SPR or TPR) can be probed via the properties of its di-τ decay.

Published by the American Physical Society
2024
What does it take to revolutionize Chinese diets: evidence from a choice experiment on urban Chinese consumers
Authors: Chen Kevin Z. , Yu Luyun , Lin Wen , Ortega David L. 
Published: August 2024

PurposeThe purpose is to understand the factors affecting Chinese diet selections and propose strategies for revolutionizing Chinese diets toward healthy ones.Design/methodology/approachThis study implemented an online discrete choice experiment to identify the factors affecting diet selections among urban Chinese consumers. Four different diet patterns were used to label each of the product alternatives in the experiment, which varied in taste and cost. Specifically, implying the healthiness and sustainability of a diet, the diet alternatives included the average diet, the Chinese Food Guide Pagoda diet, the EAT-Lancet diet and the Flexitarian diet. Using consumer data from six provincial capital cities, we used random parameter logit models to estimate their preferences.FindingsDiet type and diet cost were found to be more important in urban Chinese consumers' diet selections than the ability to customize taste. The average diet, although not healthy and sustainable, was preferred most by respondents, signaling the challenges of shifting the consumer diet in China. Increasing the cost of the average diet can significantly promote sustainable healthy diet choices among urban Chinese residents. In other words, improving the affordability of sustainable healthy diets would have the potential to fuel the diet revolution in China.Originality/valueInstead of choices of a single food item, this paper focused on the individual selection of a diet, where different food products can act as substitutes or as complements for one another. We also proposed a way to assess individual preferences and valuations for several different diets.
Does task-technology fit suppress employee innovation in digital transformation? The role of positive emotions and creative self-expectations
Authors: Sun Zhao-Yu , Zhong Xue , Meng Liang , Zhao Yu-Yan 
Published: August 2024

Purpose
This study aims to provide a nuanced understanding of the relationship between task-technology fit and employee innovative behavior, as well as the role of creative self-expectations.

Design/methodology/approach
Hierarchical regression analysis was used to test the proposed multilevel model on a sample of 407 employees working in Chinese companies.

Findings
Task-technology fit stimulates employee innovative behavior through the regulation of creative self-expectations and positive emotions. When creative self-expectations is low, the promoting effect of task-technology fit on innovative behavior is enhanced. However, when creative self-expectations is too high, this effect is reversed due to employees’ preference for challenging and complex work.

Practical implications
In the process of enterprise digital transformation, managers should not only focus on the alignment between employees' skills and individual task expectations, but also pay attention to employees' emotions and individual trait differences, to enhance the likelihood of innovative behavior occurrence and achieve successful enterprise digital transformation.

Originality/value
This study enriches the research on task-technology fit and provides recommendations for organizations to achieve digital transformation.
Democratising futures, reinvigorating democracy? Participatory futures as a tool for citizen voice and influence in local decision-making
Authors: Trowbridge Hayley 
Published: August 2024

Purpose
In recent years, democracies across Europe have been challenged in ways this paper has not witnessed on such a scale for generations. It is therefore unsurprising that innovations within democracy are emerging, particularly in terms of participatory and deliberative practices. Focusing specifically on local democracy and decision-making, this paper aims to examine ways of democratising future studies as a means of enhancing citizen participation in democracy.

Design/methodology/approach
The paper draws upon the growing body of work under the umbrella term of “participatory futures” as a way of contextualising and critiquing the “real-world” application and empirical testing of methods within this field by local municipalities.

Findings
It identifies the importance of supporting the development of futures literacy in citizens, public administration officials and political and strategic leaders. The paper demonstrates how broadening the application of existing foresight techniques through their confluence with participatory action research (PAR) principles can create spaces that reignite people’s social imagination. This in turn enables citizens and those working in local municipalities to engage in dialogue about the future.

Originality/value
The paper examines the results of a PAR study, in which innovative participatory future methods were tested as tools for enhancing citizen involvement in local decision-making. Through this, it outlines how foresight practices can be democratised, supporting local democracy to thrive, and identifies future research and practice directions within the field.
Doctors only blame the patients: a systems analysis of polycystic ovarian syndrome (PCOS)
Authors: Mathur Devasheesh 
Published: August 2024

PurposeThis study is conducted to understand an emerging public health problem in the garb of polycystic ovarian syndrome (PCOS) that affects about 6–21% of women in reproductive age from a systems perspective.Design/methodology/approachThe research is conducted in two phases. In phase 1, 15 women suffering from PCOS were interviewed to generate a knowledge map using an interpretive phenomenological research approach. The emerging themes were divided into four categories, namely individual, familial, societal, organizational, medical and systemic. In phase 2, five workshops were conducted with six invited actors to generate a causal loop diagram (CLD) of PCOS. The Standards for Reporting Qualitative Research (SRQR) are used in this study.FindingsA CLD from an individual's perspective with implications on organizational, societal and system levels.Research limitations/implicationsAwareness of “lifestyle diseases” is increasing, and this research shall help future studies put PCOS in the larger psychosocial context. The geographical location of respondents can be a limitation, as the causal linkages could only be true for the research site.Practical implicationsThe CLD provides a comprehensive understanding of complex emerging phenomenon of PCOS.Social implicationsThe paper draws attention to factors such as frequently changing doctors, withdrawal from work, medication fatigue, inclination to adopt due to infertility, etc.Originality/valueThis is the first such paper laying out the causal relationships between factors at the individual levels and connecting them to societal, organizational and system levels. This mapping can be useful for policymakers and industry leaders to empathize with PCOS sufferers so that their working conditions can be managed better.
A “quiet quitting” scale: development and validation
Authors: Talukder Md Farid , Prieto Leonel 
Published: August 2024

Purpose
Many principles and paradigms that influenced the labour system before the COVID-19 pandemic have changed, and the academic and corporate communities are struggling to make sense of the paradigm shifts the authors have entered. One of the organisational phenomena highlighted after the COVID-19 pandemic is “Quiet quitting”, that is, the tendency for workers to do the bare minimum tasks necessary for their occupations to avoid getting dismissed. This phenomenon may substantially impact both organisations and workers. As a result, academic interest in “Quiet quitting” has recently proliferated. Upon using leader-member exchange, organisational support and social exchange theories, this paper aims to propose and validate a scale measuring the new construct, “Quiet Quitting”.

Design/methodology/approach
A sample of 1,430 valid questionnaires from individuals working in different industries, organisations and regions in the USA were examined using normality and Kaiser–Meyer–Olkin tests, as well as factor, reliability and nomological validity analyses.

Findings
Exploratory and confirmatory factor analyses and reliability and nomological validity evaluations validate the proposed “Quiet Quitting” scale.

Originality/value
To the best of the authors’ knowledge, the proposed and validated “Quiet Quitting” scale is original. Since this scale may help to examine crucial management-worker dynamics in organisations, it may be subsequently developed and used by researchers in future studies.
Unpacking the unintended consequences of socially responsible human resource management: a role stress perspective
Authors: Nguyen Canh Minh , Pham Bao Thai , Chau Duyen Thi Le 
Published: August 2024

Purpose
This paper aims to explore the unintended effect of socially responsible human resource management (SRHRM) on employee task performance via three components of role stress: role conflict, role ambiguity and role overload.

Design/methodology/approach
Data was collected from 360 employees who were working in companies in the south of Vietnam and the study hypotheses were tested using structural equation modelling (SEM).

Findings
The results indicate that SRHRM increases role conflict, role ambiguity and role overload, which negatively affect employee task performance.

Practical implications
The key practical implication of our study is that SRHRM may decrease employee task performance via role conflict, role ambiguity and role overload. Managers should be aware of these findings and devise a plan to reduce the role stress that results from implementing SRHRM.

Originality/value
This study provides empirical evidence of the destructive consequences of SRHRM and contributes to a more complete perspective of how SRHRM affects employee performance.