bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effectiveness of online educational interventions on impostor syndrome and burnout among medical trainees: a systematic review
Authors: Hsu Chun-Lun , Liu Cheng-Heng , Huang Chih-Chung , Chen Huey-Ling , Chiu Yen-Lin , Yang Chih-Wei 
Published: November 2024

Abstract
Background
Impostor syndrome and burnout are highly prevalent among medical students and trainees, significantly impacting their mental health and professional development. The advent of online educational interventions provides a promising solution, offering accessibility and flexibility to tackle these issues. This systematic review aims to evaluate the effectiveness of online educational interventions in alleviating impostor syndrome and burnout among medical learners.

Methods
A comprehensive literature search was conducted across PubMed, Cochrane Library, Embase, Scopus and PsycInfo, identifying relevant studies published up to March 2024. Studies focusing on online interventions targeting impostor syndrome and burnout among medical students, residents, and fellows were included, and their quality was assessed using the Medical Education Research Study Quality Instrument (MERSQI).

Results
Among the screened studies, six met our inclusion criteria, comprising four randomized controlled trials, one qualitative study, and one mixed-methods study. Their mean MERSQI score was 14.67 (SD 1.23), indicating a high methodological quality. The interventions adopted in these studies varied, including group coaching sessions, workshops, and provision of educational resources. Notably, two randomized trials demonstrated significant reductions in impostor syndrome symptoms after online interventions, compared with the control groups. On the other hand, results for burnout outcomes were equivocal, with some studies reporting improved emotional exhaustion scores and decreased burnout risk, while others found no significant differences.

Conclusions
Current evidence suggests that structured online educational interventions, particularly those incorporating coaching and cognitive reframing strategies, can effectively reduce impostor syndrome among medical trainees. However, the impact on burnout remains inconclusive. Further research is needed to optimize online program components and implementation strategies to comprehensively address both impostor syndrome and burnout in this population.

Clinical trial number
As this is a systematic review rather than a clinical trial, no clinical trial number is applicable. Nonetheless, this systematic review has been prospectively registered with PROSPERO (registration number: CRD42024541034), in line with best practice recommendations for systematic reviews.
A tailored intervention for the detection of patients with coronary heart disease and mental or cognitive comorbidities in the German primary care setting: qualitative evaluation of implementation success
Authors: Herrmann Christin , Werner Belinda , Wurster Florian , Karbach Ute , Leikert Charlotte , Nordmeyer Laura , Meixner Adriana , Sannemann Lena , Albus Christian , Jessen Frank , Kuntz Ludwig , Schulz-Nieswandt Frank , Pfaff Holger ,   on behalf of the Cologne Research and Development Network (CoRe-Net) Study Group, Meyer Ingo , Scholten Nadine , Stock Stephanie , Strupp Julia , Voltz Raymond 
Published: November 2024

Abstract
Background
Guidelines recommend the identification of potential mental and/or cognitive disorders (MCD) in patients with coronary heart disease (CHD). However, compliance with these guidelines appears to be lacking in primary care. A minimal invasive intervention was tailored with experts for the primary care setting to increase the identification of this patient group and ensure proper treatment. The intervention includes: A trigger question, screening tests and question prompt sheet for patients. Following the implementation of this intervention in primary care physician (PCP) offices, the aim of this study is to evaluate the implementation outcomes.

Methods
Semi-structured interviews were conducted with ten PCPs who tested the intervention for six months. The study was guided by Proctor’s Framework on Implementation Outcomes to understand the appropriateness, feasibility, acceptability, fidelity and sustainability of the intervention as proxies for implementation success.

Results
Relevance of the topic and the need for the intervention is recognised by all of the PCPs. All PCPs were willing to try the intervention and considered it generally appropriate and feasible. Additionally, supporting implementation resources were considered helpful in familiarising with the intervention. Screening of patients with a first diagnosis of CHD, those who have had experienced a recent coronary event and those who have been hospitalised for CHD is considered practical and appropriate. Known barriers such as lack of knowledge, perceived relevance and awareness were successfully addressed. It was not possible to overcome barriers such as time pressure, forgetfulness, and patient reaction. Additionally, the paper format of the information materials was perceived as impractical, and integration into the physician information system was identified as a possible way to increase acceptance. Nevertheless, PCPs stated they will continue to be aware of the link between CHD and MCD and want to maintain their individualised approach.

Conclusions
The study provides important insights into the use of a minimal invasive intervention in primary care. Despite tailoring the intervention to the primary care setting, implementation success was suboptimal due to individual barriers in PCP offices. This highlights the need for tailored approaches at the level of individual PCP offices to better address context-specific barriers.
Associations of per- and polyfluoroalkyl substances and heavy metals with blood lipid profiles in a representative sample of Korean adolescents
Authors: Kim Youlim , Shin Sanghee , Choe Yunsoo , Cho Jaelim , Kim Changsoo , Kim Su Hwan , Kim Kyoung-Nam 
Published: November 2024

Abstract
Background
Previous studies on the associations of per- and polyfluoroalkyl substances (PFASs) and heavy metals with lipid profiles among adolescents have been scarce. We sought to investigate the associations of PFASs and heavy metals with blood lipid levels in a representative sample of Korean adolescents.

Methods
Data from the Korean National Environmental Health Survey (2018–2020) were used. Concentrations of PFASs [perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonic acid, perfluorononanoic acid (PFNA), and perfluorodecanoic acid (PFDeA)], lead, and mercury were measured in serum, whole blood, and urine samples, respectively. Linear regression, Bayesian kernel machine regression (BKMR), and k-means clustering analyses were employed to evaluate the associations between pollutants and lipid levels.

Results
In the linear regression analyses, PFOA levels were associated with higher low-density lipoprotein cholesterol (LDL-C) levels; PFOS with higher total cholesterol (TC) levels; PFNA with higher TC, LDL-C, and non-high-density lipoprotein cholesterol (non-HDL-C) levels; PFDeA with higher TC, LDL-C, non-HDL-C, and high-density lipoprotein cholesterol levels; and mercury with higher TC and non-HDL-C levels. The BKMR analysis revealed that the PFAS and heavy metal mixture was associated with higher LDL-C levels (1.8% increase in LDL-C at the 75th percentile of all PFAS and heavy metal concentrations compared to their median values, 95% credible interval: 0.5, 3.1), primarily driven by the effect of PFDeA. Compared to individuals in the low pollutant exposure cluster (geometric mean levels of PFOA, PFOS, PFHxS, PFNA, PFDeA, lead, and mercury were 2.7 μg/L, 6.2 μg/L, 1.6 μg/L, 0.7 μg/L, 0.4 μg/L, 0.8 μg/dL, and 0.3 μg/L, respectively), those in the high pollutant exposure cluster (5.1 μg/L, 10.7 μg/L, 3.7 μg/L, 1.3 μg/L, 0.6 μg/L, 0.9 μg/dL, and 0.4 μg/L, respectively) demonstrated higher TC levels (2.5% increase in TC, 95% confidence interval: 0.1, 5.0) in the k-means clustering analysis.

Conclusion
Due to the limitations of this study, such as its cross-sectional design, these results should be interpreted cautiously and confirmed in future studies before drawing implications for public health strategies aimed at promoting health during adolescence and later in life.
Combatting cellular immortality in cancers by targeting the shelterin protein complex
Authors: Chakraborty Sohini , Banerjee Satarupa 
Published: November 2024

AbstractShelterin proteins (TERF1, TERF2, TPP1, TINF2, POT1) protect telomeres, prevent unwarranted repair activation, and regulate telomerase activity. Alterations in these proteins can lead to cancer progression. This study uses an in-silico approach to examine shelterin in tumour samples across various cancers, employing mutation plots, phylogenetic trees, and sequence alignments. Network pharmacology identified TERF1 as an essential shelterin protein and transcription factors RUNX1, CTCF, and KDM2B as potential biomarkers due to their interactions with miRNAs and shelterin proteins. We performed MCODE analysis to identify subnetworks of ncRNAs interacting with the shelterin proteins. Shelterin expression predicted patient survival in 24 cancer types, with TERF1, TERF2, TINF2, and POT1 significantly expressed in testicular, AML, prostate, breast and renal cancers, respectively, and TPP1 in AML and skin cancer. Spearman and Pearson's analyses showed significant correlations of TERF1 across cancers, with near-significant correlations for all five proteins in different cancer datasets like breast cancer, kidney renal papillary and lung squamous cell carcinoma, skin cutaneous melanoma, etc.,. Shelterin expression correlated with patient survival in breast, renal, lung, skin, uterine, and gastric cancers. Insights into TPP1-associated glycans highlighted glycosylated sites contributing to tumorigenesis. This study provides molecular signatures for further functional and therapeutic research on shelterin, highlighting its potential as a target for anti-cancer therapies and promising prospects for cancer prognosis and prediction.
Dietary contributions in the genetic variation of liver fibrosis: a genome-wide association study of fibrosis-4 index in the liver fibrosis development
Authors: Palupi Poppy Diah , Wei Chun-Yu , Chou Wan-Hsuan , Lin Min-Rou , Wan Yu-Jui Yvonne , Chang Wei-Chiao 
Published: November 2024

Abstract
Background
The fibrosis-4 (FIB-4) index is a non-invasive method to assess the severity of liver fibrosis. The development of liver fibrosis is influenced by genetic predisposition and dietary factors. However, the modulating effect of dietary factors on the genetic susceptibility of liver fibrosis remains unclear. The study aims to investigate the role of dietary factors in modulating the genetic susceptibility of liver fibrosis.

Methods
Here, we conducted a genome-wide association study (GWAS) of FIB-4 index-directed liver fibrosis risk, adjusted with diet, lifestyle factors, and hepatitis serological markers. The high (N = 1,476) and low (N = 36,735) liver fibrosis risk groups were defined with a FIB-4 > 2.67 and < 1.3, respectively.

Results
The age-related FIB-4 variation showed subjects with a FIB-4 > 2.67 (3.8%), indicating high fibrosis risk, occurred predominantly among individuals above 60 years old. The multivariable analysis showed that tea intake is significantly associated with a reduced risk of liver fibrosis. The GWAS adjusted for sex, age, age2, dietary factors (tea and coffee consumption, vegetarian preference), lifestyle (alcohol consumption, physical activity), hepatitis serological markers (anti-HCV, HBsAg, HBeAg), and the top ten principal components indicated 25 genome-wide significant signals (p < 5 × 10− 8). Two variants (rs56293029 and rs9389269) were previously associated with the FIB-4 index in alcohol-related cirrhosis, while the 23 SNPs remaining were novel. The rs9399136 (HBS1L) is a protective variant, and rs9274407 (HLA-DQB1) is a risk variant, both contributing to liver fibrosis development. Our results showed that genetic factors play a major role in liver fibrosis, while dietary factors have minor effects on disease progression. Pathway analysis suggested the potential of immune response and hematopoietic systems function in the pathogenesis of liver disease.

Conclusions
The studies not only revealed the protective role of rs9399136 (HBS1L) and the risk effect of rs9274407 (HLA-DQB1) toward liver fibrosis in a Taiwanese population, but also demonstrated that individual consumption patterns, such as tea uptake, have a minor impact on liver fibrosis prevention. The pathway analysis from GWAS variants further indicated the importance of immune responses in the pathogenesis of liver fibrosis.
Creep rates of the Philippine fault on Leyte Island based on offset cultural features
Authors: Tsutsumi Hiroyuki , Perez Jeffrey S. 
Published: November 2024

AbstractRecent space–geodetic analyses revealed that the central Philippine fault on Leyte Island creeps aseismically. We obtained the first verifiable evidence of surface creep on the northernmost and central Leyte Island based on surveys of offset cultural features (e.g., roads, buildings, and curbs). The creep rates derived from offset cultural features in the past 10–35 years are 20.9 ± 4.3 mm/year for northernmost Leyte and ~ 15 mm/year for central Leyte. These rates are comparable with the lower bound of the rates obtained from GNSS and InSAR analyses and are in good agreement with the geologic fault slip rates. On 15 January 2023, a moderate earthquake (Mw 4.7) ruptured the creeping section on the northernmost Leyte Island, where we measured ~ 20 mm/year creep rate. The left-lateral motion of the Philippine fault in the northernmost Leyte appears to be mainly accommodated by creeping with relatively little contributions from coseismic displacement related to a small locked patch on the fault plane. The observed fault behavior, aseismic creeping with moderate surface-rupturing earthquakes, is similar to that observed on Masbate Island. Surface creeping has been identified for the Philippine fault from Masbate Island to northern Mindanao Island, and it is essential to estimate the creep rate and the ratio between creep and coseismic displacement to better characterize the fault mechanics and seismic hazards of the Philippine fault.
Neural phase picker trained on the Japan meteorological agency unified earthquake catalog
Authors: Naoi Makoto , Tamaribuchi Koji , Shimojo Kengo , Katoh Shinya , Ohyanagi Shukei 
Published: November 2024

AbstractAs Japan is one of the most seismically active countries, seismic data from various institutions are shared in real time and made accessible via the Web to promote research. The Japan Meteorological Agency (JMA), in collaboration with the Ministry of Education, Culture, Sports, Science, and Technology, processes these data to compile a 'unified earthquake catalog' for use in the development of strategies for disaster prevention and public safety. Based on manual arrival-time measurements provided by the JMA, we retrained PhaseNet, the deep-learning phase picker, known as neural phase picker that has gained prominence in recent years, to promote the development of high-quality seismic catalogs in Japan. We utilized the PhaseNet architecture for our model and trained it using 6.1 million three-component seismic waveforms collected in 2014–2021. The performance of the original PhaseNet model, trained with data from California, was suboptimal when applied to routine Japanese data, particularly ocean-bottom seismometer records. Retraining the model with the JMA unified catalog and corresponding waveforms significantly enhanced its performance in picking the arrival times of regular and low-frequency earthquakes. Compared with the original PhaseNet, the dependency of the model on the type of seismic station was reduced by retraining and its performance for waveforms was improved even from stations not included in the training data set. The model performance varied with earthquake magnitude, highlighting the reliance on extensive data for small events in the training set. Compared with the conventional procedure, the model identified numerous events, particularly smaller ones with undetermined magnitudes when integrated into the routine automatic processing of the JMA. Furthermore, leveraging approximately ten times more training data than the California data set, we developed and trained PhaseNetWC, doubling the number of filter channels in each convolutional layer in comparison with those of the original PhaseNet. This modified phase picker surpassed the performance of its predecessor. The dissemination of these models is anticipated to enhance the analysis of routine observational data sets in Japan.
Graphical Abstract
A reliable NLOS error identification method based on LightGBM driven by multiple features of GNSS signals
Authors: Zhang Xiaohong , Wang Xinyu , Liu Wanke , Tao Xianlu , Gu Yupeng , Jia Hailu , Zhang Chuanming 
Published: November 2024

AbstractIn complicated urban environments, Global Navigation Satellite System (GNSS) signals are frequently affected by building reflection or refraction, resulting in Non-Line-of-Sight (NLOS) errors. In severe cases, NLOS errors can cause a ranging error of hundreds of meters, which has a substantial impact on the precision and dependability of GNSS positioning. To address this problem, we propose a reliable NLOS error identification method based on the Light Gradient Boosting Machine (LightGBM), which is driven by multiple features of GNSS signals. The sample data are first labeled using a fisheye camera to classify the signals from visible satellites as Line-of-Sight (LOS) or NLOS signals. We then analyzed the sample data to determine the correlation among multiple features, such as the signal-to-noise ratio, elevation angle, pseudorange consistency, phase consistency, Code Minus Carrier, and Multi-Path combined observations. Finally, we introduce the LightGBM model to establish an effective correlation between signal features and satellite visibility and adopt a multifeature-driven scheme to achieve reliable identification of NLOSs. The test results show that the proposed method is superior to other methods such as Extreme Gradient Boosting (XGBoost), in terms of accuracy and usability. The model demonstrates a potential classification accuracy of approximately 90% with minimal time consumption. Furthermore, the Standard Point Positioning results after excluding NLOSs show the Root Mean Squares are improved by 47.82%, 56.68%, and 36.68% in the east, north, and up directions, respectively, and the overall positioning performance is significantly improved.
In-hospital and long-term clinical outcomes of spontaneous coronary artery dissection (SCAD): a meta-analysis of conservative versus revascularization approaches
Authors: Pitliya Anmol , Pitliya Aakanksha , Vasudevan Srivatsa Surya , Yadav Kumari Priya , Shabbir Muhammad Bilal , Zahoor Shaghaf , Shabbir Aisha , Ibrahim Abdulgafar Dare , Jeswani Bijay Mukesh , Jonnala Ramya Reddy , Singla Ramit 
Published: November 2024

Abstract
Background
The ideal treatment strategy for spontaneous coronary artery dissection (SCAD) remains unclear, with patients potentially treated with either conservative medical care or a revascularization approach.

Methods
We performed a systematic review and meta-analysis adhering to PRISMA 2020 guidelines. Inclusion criteria involved studies with confirmed SCAD diagnosis, reporting initial management strategies, and original research with ≥ 10 participants. Random-effect models were applied for insignificant heterogeneity with significance at p ≤ 0.05. Sensitivity analysis and funnel plots assessed potential publication bias.

Results
Our analysis found no significant differences in major adverse cardiac events (MACE) (OR = 0.61, p = 0.49), unstable angina pectoris (UAP) (OR = 1.04, p = 0.93), non-ST segment elevation myocardial infarction (NSTEMI) (OR = 1.16, p = 0.82), recurrent myocardial infarction (MI) (OR = 0.78, p = 0.56), stroke (OR = 0.35, p = 0.07), heart failure (OR = 0.41, p = 0.24), in-hospital mortality (OR = 0.35, p = 0.09), post-discharge mortality (OR = 1.66, p = 0.27), or ST segment elevation myocardial infarction (STEMI) (OR = 0.45, p = 0.23) between conservative management and revascularization procedures. However, sensitivity analysis reveals significant decreases in odds of inferior wall STEMI (OR = 0.41 [95% CI 0.17–0.97], p = 0.04) and heart failure (OR = 0.18 [95% CI 0.06–0.54], p = 0.002) in conservative treatment compared to revascularization group.

Conclusion
Conservative therapy significantly decreased inferior wall STEMI and heart failure as compared to revascularization in SCAD. Although no significant differences in cardiovascular outcomes, sensitivity analysis highlights potential benefits of conservative management.
Integrating machine learning and sentiment analysis in movie recommendation systems
Authors: Sarhan Amany M. , Ayman Hager , Wagdi Mariam , Ali Bassant , Adel Aliaa , Osama Rahf 
Published: November 2024

AbstractThe fast growth of the film business, along with an ever-increasing number of movie options, has highlighted the need for better recommendation algorithms. This study investigates the application of sentiment analysis in a movie recommendation system with the goal of improving the user experience. The importance of this sector stems from its ability to bridge the gap between user interests and the vast number of cinematic products, addressing individual emotional states and preferences. Researchers choose to generate movie recommendations based on the sentiments conveyed by viewers’ reviews of the movies. Sentiment-based movie recommendation system research employs techniques such as natural language processing and hybrid models with the goal of increasing user satisfaction. To this purpose, the integration of advanced machine learning algorithms such as cosine similarity, support vector machine, and Naive Bayes improves recommendation systems with sentiment analysis. Cosine similarity improves movie recommendations by recognizing minor user preferences, while support vector machines and Naive Bayes enhance sentiment analysis by offering a nuanced interpretation of textual attitudes. Through trials, the proposed system employs two public datasets for sentiment analysis, namely the TMDB5k dataset and the Reviews dataset, and makes predictions (positive, negative, or neutral) based on the content of the review through conducting sentiment analysis on the text using the Viscous Accretion Disk Evolution Resource (VADER) approach. The findings, based on users’ feedback, are more accurate and informative regarding movie quality, where SVM accuracy is 99.28% and Naïve Bayes accuracy is 96.60% when used with VADER sentiment analysis.