bluuebunny/crossref_metadata_2025_split huggingface dataset:
Olfactory training affects the correlation between brain structure and functional connectivity
Authors: Rezaeyan Abolhasan , Asadi Somayeh , Kamrava Seyed Kamran , Zare-Sadeghi Arash 
Published: December 2024

Purpose and background: Neuroimaging studies have increasingly found functional connectivity (FC) changes and structural cortical abnormalities in patients with post-traumatic anosmia (PTA). Training and repeated exposure to odorants lead to enhanced olfactory capability. This study is conducted to investigate the correlations between FC and cortical thickness on the olfaction-related regions of the brain in PTA after olfactory training (OT). Methods Twenty-five PTA patients were randomly divided in three groups: (1) 9 control patients who did not receive any training, (2) 9 patients underwent classical OT by 4 fixed odors, and (3) 7 patients underwent modified OT coming across 4 sets of 4 different odors sequentially. Before and after the training period, all patients performed olfactory function tests, and magnetic resonance imaging (MRI). Sniffin’ Sticks test was used to assess olfactory function. MRI data were analyzed using functional connectivity analysis and brain morphometry. Results Modified OT resulted in heightened activation in the medial orbitofrontal cortex and anterior cingulate cortex and increased FC between the piriform cortex (PIRC) and the caudate cortex. Conversely, classical OT induced increased activation in the insula cortex and greater FC between the PIRC and the pre-central gyrus. Furthermore, after OT, both training groups achieved significantly improved scores in the changes in brain connectivity associated with OT, which were attributable to anatomical measures. Conclusions This study demonstrates that intensive olfactory training can enhance functional connectivity, and this improvement correlates with structural changes in the brain’s olfactory processing areas.
Alert prescribing of clozapine: a comparison of five drug–drug interaction sources
Authors: Govaerts Jeroen , Verluyten Annelies , Bouckaert Filip , De Hert Marc A. F. , Desplenter Franciska A. M. 
Published: December 2024

Introduction: Clozapine, an antipsychotic used in the treatment of schizophrenia, is known for its serious side effects. In order to promote patient safety, drug–drug interaction (DDI) databases can be consulted by clinicians. In this study, the degree of consensus between five sources on DDIs with clozapine is determined. Methods: The summary of product characteristics of clozapine, Delphicare interaction database, Stockley’s interaction checker, the Lexicomp interaction database, and the interaction database of Clinical Pharmacology are included. By comparing the original categories assigned to interactions with clozapine by the included DDI sources, a degree of consensus between sources is determined. Furthermore, based on the combined information, an evaluation on the severity of each potential interaction is made. Results: One hundred eighty-three potential DDIs with clozapine are retrieved from the five included sources. A consensus between sources is found in 47.5% ( n = 87) of DDIs. Conclusion: This study shows major discrepancies between five different sources on DDIs with clozapine. The potential impact of the use of one specific database on patient safety and prescribing behavior could prove to be problematic.
Operative Treatment of Nonprimary Osteochondral Lesions of the Talus: A Systematic Review
Authors: Correia Cardoso Rui , Andrade Renato , Monteiro Inês , Machado Cátia , Malheiro Filipe Sá , Serrano Pedro , Amado Paulo , Espregueira Mendes João , Pereira Bruno S. 
Published: December 2024

Background: Nonprimary osteochondral lesions of the talus (OLT) pose a significant challenge in orthopaedics, with no definitive consensus on optimal surgical treatment. Purpose: To consolidate the most recent evidence on operative treatments for nonprimary OLT by assessing patient-reported outcomes (PROs), postoperative complications, and clinical failures. Study Design: Systematic review; Level of evidence, 4. Methods: This review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 and PRISMA in Exercise, Rehabilitation, Sport medicine and Sports science guidelines. Searches were conducted in PubMed, Embase, and Cochrane Library databases through June 2023. Eligible studies evaluated operative outcomes in skeletally mature patients with nonprimary OLT after failed previous surgeries. Primary outcomes included clinical and functional PROs. Secondary outcomes included postoperative complications and clinical failures. Quantitative analyses involved weighted means, mean differences, minimal clinically important differences, success rates (95% binomial proportion confidence interval), and a pre-to-postoperative meta-analysis. Results: Out of 3992 identified records, 50 studies involving 806 ankles from 794 patients were included. All operative treatments significantly improved PROs ( P < .05), except osteochondral allograft transplantation (OCA) for American Orthopaedic Foot and Ankle Society and pain (visual analog scale/numeric rating scale [VAS/NRS]) scores and HemiCAP for pain (VAS/NRS) scores. Autologous chondrocyte implantation (ACI) and osteochondral autologous transplantation (OAT) demonstrated the greatest PRO success rates, exceeding 80%. Postoperative complications occurred in 4% of cases, most frequently with HemiCAP. Clinical failures affected 22% of cases, particularly with autologous matrix-induced chondrogenesis, OAT, OCA, and HemiCAP. Conclusion: Our systematic review demonstrated that ACI and OAT are promising treatments for nonprimary OLT, with ACI showing fewer clinical failures than OAT. Conversely, OCA and HemiCAP exhibited lower effectiveness and higher clinical failure rates, suggesting a need for reassessment.
Evaluating COVID-19 impact, vaccination, birth registration, and underreporting in a predominantly indigenous population in Chiapas, Mexico
Authors: Joaquin-Damas Elienai , Mamelund Svenn-Erik , Schnneider Benjamin M. , Sánchez-Hernández Beatriz E. , Patishtán-López Amanda , Bleichrodt Amanda , Chowell Gerardo 
Published: December 2024

Abstract

Background
Indigenous populations globally face significant health disparities compared to non-Indigenous groups, primarily due to marginalization and limited access to healthcare. In Mexico, which is home to the largest Indigenous population in the Americas, these disparities were further exacerbated by the COVID-19 pandemic, with impacts intensified by factors such as marginalization, discrimination, and inadequate access to essential services.

Methods
This study aimed to investigate the COVID-19 pandemic's impact on mortality, vaccination access and uptake, and official birth registration among a predominantly Indigenous population in San Juan Chamula, Chiapas. We conducted an online survey among high school students at the Colegio de Bachilleres del Estado de Chiapas, supplemented with epidemiological and socio-demographic data (N = 107).

Results
The survey revealed that 14% of respondents reported being infected with COVID-19, while national dashboard data indicated only 212 confirmed cases and one death in Chamula between April 2021 and June 2023. Additionally, 79.4% of respondents were unvaccinated, with significant communication barriers and a lack of information in Indigenous languages contributing to low vaccination rates. Additionally, 5.6% of surveyed family members and 4.7% of community residents lacked official birth certificates, significantly impeding their ability to access essential services such as education, healthcare, and vaccinations.

Conclusion
Our findings highlight significant underreporting of COVID-19 cases and deaths in Indigenous communities, likely due to inadequate diagnostic resources and medical evaluation. The study underscores the urgent need for tailored public health strategies that integrate local Indigenous languages, cultures, and knowledge systems supported by trusted Indigenous leaders. Investing in education in Indigenous languages is crucial for improving vaccination adherence and overall public health outcomes. These strategies can inform national preparedness and response plans to address the unique challenges faced by Indigenous populations during pandemics and other public health crises.
Theta power reduction and theta–gamma coupling desynchronization are associated with working memory interference and anxiety symptoms in panic disorder: a retrospective study
Authors: Ahn Ji Seon , Hong Hye-Jin , Lee Jee Hang , Park Jin Young 
Published: December 2024

Abstract

Background
Theta-gamma coupling (TGC) describes the modulation of gamma oscillations by the theta phasic activity, which is crucial for processes such as the ordering of information during working memory (WM) performance. The mental arithmetic (MA), which involves performing calculations with numbers, is a crucial tool for evaluating and understanding the sensory processing and management abilities of WM. Evaluating TGC may provide greater insight into the neural mechanisms mediating WM deficits in panic disorder (PD).

Methods
Medical and electroencephalography (EEG) records of psychiatric outpatient clinic between 1 March 2020 and 30 September 2023 were retrospectively reviewed. A total of 34 PD patients and 34 age- and sex-matched healthy controls (HCs) underwent EEG to assess the overall functional interaction of the brain using multi-channel EEG analysis, focusing on specific brain regions including the frontal, temporal, parietal, and occipital lobes. EEG recordings were conducted during two sessions: a 5-min eyes-closed resting-state (RS) and a subsequent 5-min eyes-closed MA. The TGC and the spectral power of the theta and gamma frequency bands, which are well known to be associated with WM, were analysed.

Results
Compared to those in HCs, TGC and theta power were significantly attenuated in PD patients. When analysing both HCs and PD patients together, RS TGC and relative theta power were negatively correlated with state anxiety and perceived stress scores, respectively. In contrast, TGC and relative theta power during the MA condition were positively correlated with the MA performance. Specifically, in PD patients, RS theta power across all electrodes was significantly negatively correlated with the Hamilton Anxiety Scale (HAMA) score. Linear regression analysis revealed that theta power in the T5 channel remained negatively correlated with pathological anxiety as measured by the HAMA score, even after controlling for other confounding factors.

Conclusions
This study highlights significant alterations in TGC and theta power in PD patients. PD patients exhibit reduced TGC and theta power compared to HCs, indicating deficits in the neural mechanisms underlying anxiety and/or WM in PD. These insights contribute to a better understanding of the neural basis of WM deficits in PD and suggest potential avenues for targeted therapeutic interventions.
A supervised machine learning tool to predict the bactericidal efficiency of nanostructured surface
Authors: Chen Yaxi , Chen Hongyi , Harker Anthony , Liu Yuanchang , Huang Jie 
Published: December 2024

AbstractThe emergence and rapid spread of multidrug-resistant bacterial strains is a growing concern of public health. Inspired by the natural bactericidal surfaces of lotus leaves and shark skin, increasing attention has been focused on the use of mechano-bactericidal methods to create surfaces with antibacterial and/or bactericidal effects. There have been several studies exploring the bactericidal effect of nanostructured surfaces under various combinations of parameters. However, the correlation and synergies between these factors still need to be clarified. Recently machine learning (ML), which enables prediction or decision-making based on data, has been used in the field of biomaterials with promising results. In this study, we explored ML in nanotechnology to investigate the antimicrobial potential of nanostructured surfaces. A dataset of nanostructured surfaces and their antimicrobial properties was built by extracting the published literature. Based on the literature review and the distribution of our dataset, 70% bactericidal efficiency was selected as a practical benchmark for our classification model that balances stringent bactericidal performance with achievable targets in diverse conditions. Subsequently, we developed an ML classification model, which demonstrated an 81% accuracy in its predictive capability. A regression model was further developed to predict the value of bactericidal efficiency for nanostructured surfaces. Feature importance analysis of the ML models suggested that nanotopographical features have a greater influence on bactericidal properties than material properties, thus providing insight into the principles of the mechano-bactericidal effect of nanostructured surfaces. Overall, this ML model tool could help researchers to effectively select and design the parameters of the surface structure prior to experimentation, thereby improving the timeliness and reducing the number of experiments and the associated costs.
Graphical Abstract
The place of subjective emptiness in the structure of personality
Authors: Hopwood Christopher J. , Gjorgjieva Julija 
Published: December 2024

Abstract
Background
Subjective emptiness is a transdiagnostic clinical dimension related to suicide, distress, and other maladaptive outcomes. Although it is typically conceptualized as a symptom of borderline personality disorder, it has a different pattern of correlates than other symptoms of that phenotype and is present in individuals with other diagnoses. The goals of this study were to replicate and extend previous findings regarding the place of emptiness as a standalone construct within a relatively comprehensive array of personality features.

Method
A sample of 992 anonymous participants (M = 45.37 years, SD = 16.53) who were census-matched to the US population completed an online survey including measures of emptiness, normal-range and maladaptive trait domains and aspects, as well as interpersonal values and problems.

Results
Overall, the pattern of correlations suggests that people who report feelings of emptiness tend to have negative emotions, be socially withdrawn, and are low in energy.

Conclusion
These findings highlight the relevance of subjective emptiness beyond the borderline category, replicate previous findings regarding the personality and psychopathology correlates of subjective emptiness, and portray a particular profile of personality that represents a risk factor for the experience of subjective emptiness.
LearningViz: a dashboard for visualizing, analyzing and closing learning performance gaps—a case study approach
Authors: Pei Bo , Cheng Ying , Ambrose Alex , Dziadula Eva , Xing Wanli , Lu Jie 
Published: December 2024

AbstractThe availability of large-scale learning data presents unprecedented opportunities for investigating student learning processes. However, it is challenging for instructors to fully make sense of this data and effectively support their teaching practices. This study introduces LearningViz, an interactive learning analytics dashboard to help instructors identify, analyze, and close performance gaps among students in their classes. In this dashboard, we incorporated three modules to enhance human and computer interactions for better supporting the teaching practices: the Student Overall Performance Analysis Module, which provides a comprehensive understanding of students’ learning in the course; the Student Group Performance Analysis Module, which examines performance gaps across different groups and identifies factors contributing to these gaps; and the Final Exam Item Analysis Module, which evaluates the quality of exam questions and identifies strategies for closing performance gaps. The overall design of the platform follows a user-centered approach, integrating data analysis with various visualization strategies in a unified platform. A case study is then conducted to highlight the effectiveness of LearningViz in supporting instructors analyzing students’ learning patterns and associated factors impacting learning performance. We further conduct a usability test with several domain experts, to evaluate the usefulness and effectiveness of this platform in supporting the teaching practices. Our findings underscore the platform's ability to support instructors in detecting performance gaps among students, investigating influential factors, evaluating assessment quality and implementing targeted instructional strategies for closing performance gaps.
Long-read sequencing sheds light on key bacteria contributing to deadwood decomposition processes
Authors: Richy Etienne , Thiago Dobbler Priscila , Tláskal Vojtěch , López-Mondéjar Rubén , Baldrian Petr , Kyselková Martina 
Published: December 2024

Abstract
Background
Deadwood decomposition is an essential ecological process in forest ecosystems, playing a key role in nutrient cycling and carbon sequestration by enriching soils with organic matter. This process is driven by diverse microbial communities encompassing specialized functions in breaking down organic matter, but the specific roles of individual microorganisms in this process are still not fully understood.

Results
Here, we characterized the deadwood microbiome in a natural mixed temperate forest in Central Europe using PacBio HiFi long-read sequencing and a genome-resolved transcriptomics approach in order to uncover key microbial contributors to wood decomposition. We obtained high quality assemblies, which allowed attribution of complex microbial functions such as nitrogen fixation to individual microbial taxa and enabled the recovery of metagenome-assembled genomes (MAGs) from both abundant and rare deadwood bacteria. We successfully assembled 69 MAGs (including 14 high-quality and 7 single-contig genomes) from 4 samples, representing most of the abundant bacterial phyla in deadwood. The MAGs exhibited a rich diversity of carbohydrate-active enzymes (CAZymes), with Myxococcota encoding the highest number of CAZymes and the full complement of enzymes required for cellulose decomposition. For the first time we observed active nitrogen fixation by Steroidobacteraceae, as well as hemicellulose degradation and chitin recycling by Patescibacteria. Furthermore, PacBio HiFi sequencing identified over 1000 biosynthetic gene clusters, highlighting a vast potential for secondary metabolite production in deadwood, particularly in Pseudomonadota and Myxococcota.

Conclusions
PacBio HiFi long-read sequencing offers comprehensive insights into deadwood decomposition processes by advancing the identification of functional features involving multiple genes. It represents a robust tool for unraveling novel microbial genomes in complex ecosystems and allows the identification of key microorganisms contributing to deadwood decomposition.
Psychological antecedents of vaccine inequity: keys to improve the rates of vaccination
Authors: Hussein Mohamed F. , Ibrahim Sarah A. , Abdel-Rahman Suzan , Elshabrawy Abdelhamid , Nasr Haqema A. A. , Yazbek Saja , Jabbar Abdul , Albadri Cinaria T. , Alsanafi Mariam , Aji Narjiss , Youssef Naglaa , Hammad Hammad M. , Abdullah Fatimah S. A. , Elrewany Ehab , Tahoun Mohamed M. , Tolba Mahmoud , Abo Salama Mohamed K. , Ghazy Ramy M. 
Published: December 2024

Abstract
Background
The World Health Organization (WHO) stresses the importance of worldwide vaccine coverage of coronavirus-19 (COVID-19) vaccination. This study fills a critical gap in the literature by providing empirical evidence on the factors influencing COVID-19 vaccine hesitancy and inequity in the Middle East and North Africa (MENA) region. This study investigated the determinants of psychological antecedents and other factors behind COVID-19 vaccination and their role in vaccine coverage in MENA.

Methods
An anonymous online cross-sectional survey was conducted in 11 MENA countries (Egypt, Sudan, Kuwait, Saudi Arabia, Morocco, Iraq, Yemen, Lebanon, Libya, Afghanistan, and Pakistan). The minimum required sample size from each country was 307, which was increased to 330 to accommodate a non-response rate of 7%. A multilevel logistic regression model was used to capture the clustering of observations in each country and estimate the explanatory variables’ effects on each item of the 5C components of the psychological antecedents scale namely (confidence, constraints, complacency, calculation, and collective responsibility).

Results
The total number of respondents was 3630, 40.5% of them were between the ages of 18 and 25 years, 61.1% were females, 54.0% completed university education, 55.8% were unmarried, 19.5% had chronic diseases, 43.7% reported a previous COVID-19 and 42.4% had relatives who died from COVID-19. Much of the variation in the log of the odds in each item of the 5Cs was due to heterogeneity between different countries (intraclass correlation > 0.05). Therefore, this variability confirms the various effects of psychological antecedents on vaccination coverage, stimulating vaccination inequity among them. Increasing confidence in vaccines and collective responsibility towards relatives and the community is related to increasing acceptance of the COVID-19 vaccine. The reduction in complacency, calculations, and constraints was found to be associated with acceptance of the COVID-19 vaccine.

Conclusions
This study is novel in shedding light on the importance of psychological determinants as hidden causes of vaccine inequities by using a multilevel logistic regression model for COVID-19 vaccination intention. The findings suggest that targeted interventions addressing socio-demographic factors, psychological antecedents, and accessibility barriers are essential to mitigate vaccine inequity and improve vaccination rates.
Endoscopic Techniques in Sagittal Synostosis Correction: A Systematic Review and Meta-Analysis
Authors: da Costa Marcos , Pinheiro Vitoria , Borges Pedro G. L. B. , Cavalheiro Sergio 
Published: December 2024

BACKGROUND AND OBJECTIVES:
Scaphocephaly is a craniofacial deformity caused by the premature fusion of the sagittal suture, which can affect skull growth and shape. For decades, surgical treatment or craniosynostosis has involved open procedures, ranging from the removal of a single suture to complex cranial remodeling techniques with large skin incisions. Since the 1990s, endoscopic approaches have emerged as potentially less invasive options. This study aimed to evaluate the efficacy of and differences between endoscopic scaphocephaly correction techniques.

METHODS:
A comprehensive search was conducted on PubMed, Embase, Web of Science, and Scopus for clinical trials and observational studies analyzing endoscopic correction of scaphocephaly and describing the procedure. The outcomes analyzed included pre- and postoperative cephalic indexes, operation time, blood loss, number of transfusions, complications, and subgroup analysis.

RESULTS:
Thirty-two studies involving 1566 patients (mean age at the time of surgery: 3.3 months) were included. Overall, the cephalic index showed a significant increase in the mean difference of 7.58 (95% CI 6.35-8.80; P < .01), and when analyzed by subgroups based on the size of the removed strip (≤2 and >2 cm), there was no significant difference in the cephalic index. In addition, the analysis of lateral osteotomies showed no difference in CI between the subgroups.

CONCLUSION:
Our results suggest that less invasive techniques, involving smaller incisions and excisions, can achieve comparable success with traditional techniques. These findings have significant implications for clinical practice, underscoring the importance of exploring less invasive options for scaphocephaly correction to improve patient outcomes and reduce morbidity.