bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ensemble feature selection and tabular data augmentation with generative adversarial networks to enhance cutaneous melanoma identification and interpretability
Authors: Gómez-Martínez Vanesa , Chushig-Muzo David , Veierød Marit B. , Granja Conceição , Soguero-Ruiz Cristina 
Published: October 2024

Abstract
Background
Cutaneous melanoma is the most aggressive form of skin cancer, responsible for most skin cancer-related deaths. Recent advances in artificial intelligence, jointly with the availability of public dermoscopy image datasets, have allowed to assist dermatologists in melanoma identification. While image feature extraction holds potential for melanoma detection, it often leads to high-dimensional data. Furthermore, most image datasets present the class imbalance problem, where a few classes have numerous samples, whereas others are under-represented.

Methods
In this paper, we propose to combine ensemble feature selection (FS) methods and data augmentation with the conditional tabular generative adversarial networks (CTGAN) to enhance melanoma identification in imbalanced datasets. We employed dermoscopy images from two public datasets, PH2 and Derm7pt, which contain melanoma and not-melanoma lesions. To capture intrinsic information from skin lesions, we conduct two feature extraction (FE) approaches, including handcrafted and embedding features. For the former, color, geometric and first-, second-, and higher-order texture features were extracted, whereas for the latter, embeddings were obtained using ResNet-based models. To alleviate the high-dimensionality in the FE, ensemble FS with filter methods were used and evaluated. For data augmentation, we conducted a progressive analysis of the imbalance ratio (IR), related to the amount of synthetic samples created, and evaluated the impact on the predictive results. To gain interpretability on predictive models, we used SHAP, bootstrap resampling statistical tests and UMAP visualizations.

Results
The combination of ensemble FS, CTGAN, and linear models achieved the best predictive results, achieving AUCROC values of 87% (with support vector machine and IR=0.9) and 76% (with LASSO and IR=1.0) for the PH2 and Derm7pt, respectively. We also identified that melanoma lesions were mainly characterized by features related to color, while not-melanoma lesions were characterized by texture features.

Conclusions
Our results demonstrate the effectiveness of ensemble FS and synthetic data in the development of models that accurately identify melanoma. This research advances skin lesion analysis, contributing to both melanoma detection and the interpretation of main features for its identification.
The awareness of sharenting in Italy: a pilot study
Authors: Ferrara Pietro , Cammisa Ignazio , Zona Margherita , Cimaroli Elena , Sacco Roberto , Pacucci Ivana , Grimaldi Maria Teresa , Scaltrito Francesca , Pettoello-Mantovani Massimo , Corsello Giovanni 
Published: October 2024

Abstract
Background
This pilot study examines the widespread phenomenon of “sharenting” and how it is perceived by parents. Given the increasing prevalence of this practice, the study aims to explore parental awareness of its potential risks and assess whether it is perceived as a form of child abuse, particularly regarding the violation of children’s privacy. While traditional forms of child abuse inflict direct harm on the child, sharenting can damage the child’s image and pose risks to their well-being, both in the present and the future. We evaluated the potential correlation between specific demographic characteristics and parents’ social media usage. The study aimed to assess the possibility of expanding the research by involving European pediatric societies to obtain comparable data and develop family education programs with the goal of limiting this phenomenon. It also emphasizes the important role that pediatricians and schools can play in these programs.

Methods
The study was designed using a survey model, one of the recognized quantitative research methods described in the literature and was conducted by the Pediatric Department of the University Hospital Campus Bio-Medico in Rome between November 2023 and January 2024.

Results
Data from this study indicate that gender, age, education level, number of children, and number of social media accounts were not associated with sharenting phenomenon and suggest that the frequency and the onset time of sharenting were the main influencing variables in the perception of sharenting phenomenon as neglect and abuse.

Conclusions
Preventive interventions, such as counseling and parental education, are essential to safeguard children’s well-being and prioritize their best interests, including their privacy and identity. Moreover, while the data from this study are limited, they underscore the importance of expanding data collection efforts across different countries. Establishing a comprehensive database could be beneficial for local and European governments in developing policies and educational programs aimed at mitigating potential risks associated with the improper exploitation of personal data, thus safeguarding children in both the short and long term.
Fine structure of a daytime mid-latitude sporadic-E revealed by GNSS TEC, InSAR, and MAI
Authors: Fujimoto Tatsuya , Furuya Masato , Heki Kosuke 
Published: October 2024

AbstractCombining the total electron content (TEC) data from two nationwide Global Navigation Satellite System (GNSS) networks in Japan with the L-band synthetic aperture radar (SAR) data, we reveal the fine spatial and temporal structure of a daytime sporadic-E (Es) episode in Shikoku, Japan. The snapshot of the Es is derived not only from interferometric SAR (InSAR) but also from multiple aperture interferometry (MAI), the latter of which performs better in isolating the fine spatial structure. The GNSS TEC maps indicate that the Es episode is accompanied by a primary east–west elongated (up to ~ 180 km) southward migrating TEC striation with a speed of ~ 90 m/s and ~ 10–20 km widths in the north–south direction. As previously suggested by the GNSS TEC time series, the present InSAR and MAI data independently confirm that electron density in the primary striation gradually increases from the frontal leading edge but abruptly drops in the trailing edge. MAI-based TEC map confirms multiple TEC striations as previously suggested in GNSS TEC time-series, which are reminiscent of the quasi-periodic (QP) echoes in nighttime Es detected by the middle and upper atmosphere (MU) radar, but the periodicity is not as clear as that observed by MU radar. The Kelvin–Helmholtz (KH) instabilities around the wind shear of neutral winds could be responsible for the QP TEC striations.
Graphical abstract
In vivo validation of osteoinductivity and biocompatibility of BMP-2 enriched calcium phosphate cement alongside retrospective description of its clinical adverse events
Authors: Wang Mingjie , Xu Chunfeng , Zheng Yuanna , Pieterse Herman , Sun Zhe , Liu Yuelian 
Published: October 2024

Abstract
Purpose
Although bone morphogenetic protein-2 (BMP-2) possesses potent osteoinductivity, there have been some concerns on the safety of BMP-2 and BMP-2-incorporated bone substitutes used for bone formation. On the other hand, BMP-2-loaded calcium phosphate cement (BMP-2@CPC) has been developed and used for bone regeneration in oral implantology. Therefore, this study aims to investigate this product's biocompatibility and clinical safety after being used in maxillofacial surgery.

Materials and methods
A rat model was employed to assess the osteoinduction and biocompatibility of BMP-2@CPC. Further, a retrospective investigation was carried out: 110 patients who received BMP-2@CPC treatment after their maxillofacial surgery were recruited to describe relative adverse events.

Results
In vivo, BMP-2@CPC showed a significantly higher mean bone volume density and osteoblasts volume density (15 ± 2% and 3 ± 1%)than those of the CPC group (p < 0.05) after being implanted in the dorsal area of rats. Regarding biocompatibility, the mean fibrous tissue volume density was significantly lower in the BMP-2@CPC group (20 ± 5% compared to 31 ± 6%, p = 0.026). The retrospective clinical study showed that only five mild/moderate adverse events were identified in four patients based on the medical records of 110 patients, including swelling, bony mass, and wound dehiscence. This adverse event occurrence was not affected by gender, age, the dose of filled materials, and operations in the study (p > 0.05).

Conclusions
BMP-2-loaded CPC has osteoinductivity and more promising biocompatibility than pure CPC. However, its degradation is slower than CPC. The safety of BMP-2-loaded CPC with 0.5 or 1 mg BMP-2 is promising in oral maxillofacial surgery.

Clinical implications
This study confirmed the promising safety of this BMP-2 incorporated CPC used in dental clinical practice, which can promote its reassuring application for dental implant placement in bone insufficient areas.

Graphical Abstract
Free Kappa light chain in a sample of Egyptian multiple sclerosis patients (a pilot study)
Authors: Shehab Abeer Elsayed Aly , Bakr Salwa Ibrahim , Saleh Rasha Mamdouh , Ragab Dina Aly , Salem Maryam Gamal , Hafeez Mohamed Aly Abdel 
Published: October 2024

AbstractBackgroundMultiple sclerosis is a chronic autoimmune-mediated demyelinating disease of the central nervous system that is usually associated with varying degrees of progressive disability. Free Kappa light chain (FKLC) has attracted growing attention as a significant diagnostic marker of MS. Our aim was to study the diagnostic utility of cerebrospinal fluid free Kappa light chain and related indices in a sample of Egyptian MS patients vs. CSF IgG oligoclonal bands. It was a prospective case–control study of MS patients carried in our hospital during the period from January 2021 till January 2022. Our study carried on 30 patients with multiple sclerosis and other inflammatory neurologic diseases and 20 age and sex matched controls. The study measured FKLC in the CSF and serum sample pairs of patients and control group. Indices calculated using FKLC measured in CSF and serum included; FKLC index, FKLC intrathecal fraction and quotient of FKLC. Indices were used to assess intrathecal synthesis of FKLC considering blood–CSF barrier function. Receiver operating characteristic curve analysis was used to determine diagnostic performance of FKLC and related indices in comparison to CSF–OCB testing.ResultsMeasured FKLC levels as well as its calculated indices have shown statistically significant higher values among MS patients against OIND patients and healthy control group. Both FKLC index and FKLC IF were similarly showing 100% diagnostic sensitivity and 100% diagnostic specificity for MS diagnosis.ConclusionsFKLC biomarkers are proposed to be highly sensitive and easy to detect first-line markers of intrathecal immunoglobulin synthesis with accurate performance and low cost that might prove to be promising diagnostic markers of MS.
Psychiatric symptom profiles of inpatient refugees in Egypt: insights from a single center study
Authors: Soliman Mahmoud , El-Gabry Dina Aly , Assaf Mansour , Meshreky Kyrillos , Elsaadouni Nisrin 
Published: October 2024

Abstract
Background
The global surge in refugee populations has sparked considerable apprehension regarding their mental health. This study explores the symptom profile and associated factors among refugee patients admitted to Okasha Institute of Psychiatry, Ain Shams University, hospitals between 2018 and 2021.

Methods
A retrospective analysis was conducted utilizing the medical records of refugee patients admitted to Okasha Institute of Psychiatry between 2018 and 2021. Data collection encompassed socio-demographic characteristics, diagnoses, reported stressors, and specific symptom profiles.

Results
The study involved 36 refugee patients, averaging 26.7 years, predominantly female (61.1%), and predominantly of Sudanese origin (45.9%). Prevalent diagnoses included bipolar disorder (36.8%), schizophrenia (26.3%), and major depressive disorder (13.2%). A diverse array of stressors emerged, with immigration-related issues ranking highest (21.2%). Other noteworthy stressors comprised marital conflicts (15.2%) and house-related difficulties (15.2%).

Conclusion
This study highlighted the prevalence of severe mental illnesses, varied stressors, and distinct symptom profiles in refugees with psychiatric admissions and underscored the imperative for culturally sensitive and trauma-informed mental health services. Further research is imperative to devise effective interventions and enhance the mental health outcomes of refugee populations.
Data assetization and capital market information efficiency: evidence from Hidden Champion SMEs in China
Authors: Chen Lili 
Published: October 2024

AbstractData assets serve functions such as value preservation and appreciation, financing, and value creation. They contain extensive information about enterprises’ operational status and future development prospects, providing significant references for external investors’ decision-making and greatly impacting the information efficiency in capital market. This study examines the correlation between data assetization and capital market information efficiency, along with the mechanisms and influencing factors involved. We select a sample of Chinese Hidden Champion small and medium-sized enterprises (SMEs) from 2011 to 2021, utilize text analysis methods to build a data assets dictionary, and extract keywords from corporate annual reports to depict the level of data assetization. The research results indicate that data assetization significantly enhances the information efficiency of capital market, specifically reducing stock price synchronicity and stock price delay. By categorizing data assets into own-use data assets and transactional data assets, we find that both types can improve the information efficiency of the capital market. Mechanism analysis reveals that enterprise data assetization can enhance the information efficiency of capital market by alleviating corporate financing constraints and improving forward-looking information disclosure. Factors analysis demonstrates that digital infrastructure and data circulation transactions can strengthen the enhancement effect of data assetization on the information efficiency of capital market. This study enriches the research outcomes in the micro-research field of data assets, providing valuable insights for promoting the digital transformation of Hidden Champion SMEs and the high-quality development of capital market.
Post COVID rhino-cerebral mucormycosis at a tertiary hospital in Central India: a retrospective cohort study
Authors: Gaurkar Sagar Shankarrao , Deshmukh Prasad Trimbakrao , Khan Farhat Qamruddin 
Published: October 2024

Abstract
Background
Usually non-pathogenic in immunocompetent individuals, mucormycosis is an aggressive, angio-invasive fungus. It is a rare, opportunistic infection belonging to the zygomycete family. The second wave of COVID-19 saw the emergence of a more dangerous and a potentially deadly invasive fungal sinusitis evolving in rhino-cerebral mucormycosis thus compounding and complicating the pandemic. Alarming and exponential rise in the number of cases of rhino-cerebral mucormycosis in India versus the rest of the world when the treatment protocols essentially remained the same needs to be probed scientifically along with its prompt management. Here an attempt has been made to explore this in the study of 50 cases of rhino-cerebral mucormycosis. This study aims to explore the cause and extension of the disease along with its treatment and outcome in 50 cases of post COVID rhino-cerebral mucormycosis.

Results
This is a retrospective cohort study conducted on 50 patients with post COVID-19 invasive mucormycosis of the paranasal sinuses with extension to surrounding structure visiting Otorhinolaryngology department at Acharya Vinoba Bhave Rural Hospital, Wardha. Among 50 patients, 86% males in 4th to 7th decade with mean age of 51.08 years. Large majority had mild–moderate severity on high-resolution computed tomography thorax with 84% having uncontrolled diabetes and 18% newly diagnosed diabetic cases. Seventy-two percent had history of steroid intake for COVID-19 management. Maxillary sinus was most commonly involved sinus in 94% cases while 32% had commonest extra nasal spread hard palate. Seventy-eight percent of the post operated mucormycosis cases are alive with no recurrence, 8% are alive and had recurrence of the disease while 14% resulted in death.

Conclusion
Effective management and control of the infection can be achieved with the use of strong antibiotics, oral or systemic antifungal drugs, extensive surgical excision of diseased tissue, and addressing underlying risk factors can effectively manage and control the infection. This approach results in positive outcomes and reduced morbidity compared to the time prior to the COVID-19 pandemic including cases with extensive disease.
Identifying Oncology Patients at High Risk for Potentially Preventable Emergency Department Visits Using a Novel Definition
Authors: Fleshner Lauren , Gandhi Sonal , Lagree Andrew , Boulard Louise , Grant Robert C. , Kiss Alex , Krzyzanowska Monika K. , Cheng Ivy , Tran William T. 
Published: October 2024

PURPOSE
Patients with cancer visit the emergency department (ED) frequently. While some ED visits are necessary, others may be potentially preventable ED visits (PPEDs). Reducing PPEDs is important to improve quality of care and reduce costs. However, a robust definition and the characteristics of patients at risk remain unclear. This study aimed to describe oncology-related PPEDs and identify characteristics of patients at the highest risk for PPEDs to help target interventions and minimize avoidable ED visits.

METHODS
A retrospective study was conducted using four clinical and administrative databases. All ED visits by oncology patients between April 1, 2019, and April 1, 2021, were identified. A novel definition of PPEDs was explored, specifically visits that resulted in immediate discharge from the ED or admissions <48 hours. Trends in ED use, including PPEDs, were evaluated using descriptive statistics, logistic regression, and machine learning (ML) modeling.

RESULTS
During the 2-year period, 6,689 oncology patients visited the ED (N = 13,415 visits). A total of 62.1% of visits were classified as PPEDs. PPEDs were most common among patients with stage I to III breast cancer and those on systemic therapy. Characteristics of patients at high risk for non-PPEDs included stage IV disease with either lung or GI carcinomas and shorter distances to the ED. The highest-performing ML model yielded an AUC of 0.819.

CONCLUSION
Our novel definition of PPEDs appears promising in identifying oncology patients who could avoid the ED with targeted interventions. This work demonstrated that patients with early-stage disease, those with breast cancer, and those on systemic therapy are at the highest risk for PPEDs and may benefit from proactive interventions to avoid the ED. Although our definition requires validation, using ML models for more robust predictive modeling appears promising.
Using Artificial Intelligence to Support Informed Decision-Making on
BRAF
Mutation Testing
Authors: Webster Jennifer , Ghith Jennifer , Penner Orion , Lieu Christopher H. , Schijvenaars Bob J.A. 
Published: October 2024

PURPOSE

Precision oncology relies on accurate and interpretable reporting of testing and mutation rates. Focusing on the
BRAFV600
mutations in advanced colorectal carcinoma, non–small-cell lung carcinoma, and cutaneous melanoma, we developed a platform displaying testing and mutation rates reported in the literature, which we annotated using an artificial intelligence (AI) and natural language processing (NLP) pipeline.

METHODS
Using AI, we identified publications that likely reported a testing or mutation rate, filtered publications for cancer type, and identified sentences that likely reported rates. Rates and covariates were subsequently manually curated by three experts. The AI performance was evaluated using precision and recall metrics. We used an interactive platform to explore and present the annotated testing and mutation rates by certain study characteristics.

RESULTS
The interactive dashboard, accessible at the BRAF dimensions website, enables users to filter mutation and testing rates with relevant options (eg, country of study, study type, mutation type) and to visualize annotated rates. The AI pipeline demonstrated excellent filtering performance (>90% precision and recall for all target cancer types) and moderate performance for sentence classification (53%-99% precision; ≥75% recall). The manual annotation of testing and mutation rates revealed inter-rater disagreement (testing rate, 19%; mutation rate, 70%), indicating unclear or nonstandard reporting of rates in some publications.

CONCLUSION
Our AI-driven NLP pipeline demonstrated the potential for annotating biomarker testing and mutation rates. The difficulties we encountered highlight the need for more advanced AI-powered literature searching and data extraction, and more consistent reporting of testing rates. These improvements would reduce the risk of misinterpretation or misunderstanding of testing and mutation rates by AI-based technologies and the health care community, with beneficial impacts on clinical decision-making, research, and trial design.
Exploring perceptions of maternity services for pregnant adolescents in Indonesia: a qualitative study
Authors: Astuti Andari Wuri , Lestari Yayuk Puji 
Published: October 2024

Background/Aims Adolescent pregnancies are prevalent in Indonesia. This study aimed to explore perceptions from healthcare workers and pregnant adolescents of maternity services for pregnant adolescents. Methods This qualitative exploratory study involved two policymakers, 10 midwives, five doctors, and 10 pregnant adolescents. Data were collected through structured interviews in public health centre consultation rooms. The data were analysed thematically to explore factors that promoted or hindered use of maternity services for pregnant adolescents. Results The identified barriers included a lack of tailored directives, challenges in engaging adolescents, insufficient numbers of skilled healthcare professionals, adolescents' fears and compromised confidentiality. Opportunities for improvement included enhancing service quality through strategic planning and specialised training for midwives and psychologists. Conclusions The study underscores the need to improve maternity services offered for pregnant adolescents by creating a conducive working environment and sensitising healthcare workers and the community to adolescent mothers' needs. Implications for practice There is a need for guidelines in Indonesia specifically on providing care for pregnant adolescents. Healthcare professionals require specialised training and facilities should be made adolescent friendly.