bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preliminary validity testing of the eHealth Literacy Questionnaire (eHLQ): a Confirmatory Factor Analysis (CFA) in Norwegian hospitalized patients
Authors: Hermansen Å. , Andersen M. H. , Borge C. R. , Dahl K. G. , Larsen M. H. , Lønning K. , Meyer K. B. , Vidnes T. K. , Wahl A. K. 
Published: November 2023

Abstract
Aims
To perform the first psychometric analysis of the Norwegian version of the eHLQ using confirmative factor analysis (CFA) procedures in a population of patients admitted to hospital using a cross-sectional design. The eHLQ consists of 35 items capturing the 7-dimensional eHealth Literacy Framework (eHLF) which describes users' attributes, user's interaction with technologies and user's experience with digital health systems.

Methods
The 7 independent scales of the eHLQ was translated from Danish and culturally adapted into the Norwegian language following a standardised protocol. Assessment of construct validity of the eHLQ was undertaken using data from a cross-sectional survey of 260 patients hospitalized at a Norwegian University Hospital in the Oslo area during a two-week period in June 2021. The analysis included using correlation analysis (Pearsons R), internal consistency (Cronbach’s alpha) and confirmatory factor analysis (CFA).

Results
All factor loadings were high to acceptable (i.e. > 0.6), except for five items which had somewhat lower loadings. Regarding internal consistency, alpha ranged from 0.73 to 0.90. For optimal CFA fit for the different scale models, correlated residuals were required for five of the seven scales. Overall our analysis shows an intermediate fit of the orginal construct. Scale intercorrelations were all below 0.8, indicating an overall acceptable discriminant validity between the 7 dimensions.

Conclusions
The results from the CFA analysis indicate that for almost all 7 eHLQ scales, an acceptable model fit was achieved. The 260 hospitalized patients included in this study represented a variety of diagnoses, recruited from a geographically limited area. Further studies on psychometric properties of the Norwegian version of eHLQ in larger samples, diverse settings and by using more comprehensive approaches are warranted.
Improving the prediction of Spreading Through Air Spaces (STAS) in primary lung cancer with a dynamic dual-delta hybrid machine learning model: a multicenter cohort study
Authors: Jin Weiqiu , Shen Leilei , Tian Yu , Zhu Hongda , Zou Ningyuan , Zhang Mengwei , Chen Qian , Dong Changzi , Yang Qisheng , Jiang Long , Huang Jia , Yuan Zheng , Ye Xiaodan , Luo Qingquan 
Published: November 2023

Abstract
Background
Reliable pre-surgical prediction of spreading through air spaces (STAS) in primary lung cancer is essential for precision treatment and surgical decision-making. We aimed to develop and validate a dual-delta deep-learning and radiomics model based on pretreatment computed tomography (CT) image series to predict the STAS in patients with lung cancer.

Method
Six hundred seventy-four patients with pre-surgery CT follow-up scans (with a minimum interval of two weeks) and primary lung cancer diagnosed by surgery were retrospectively recruited from three Chinese hospitals. The training cohort and internal validation cohort, comprising 509 and 76 patients respectively, were selected from Shanghai Chest Hospital; the external validation cohorts comprised 36 and 53 patients from two other centers, respectively. Four imaging signatures (classic radiomics features and deep learning [DL] features, delta-radiomics and delta-DL features) reflecting the STAS status were constructed from the pretreatment CT images by comprehensive methods including handcrafting, 3D views extraction, image registration and subtraction. A stepwise optimized three-step procedure, including feature extraction (by DL and time-base radiomics slope), feature selection (by reproducibility check and 45 selection algorithms), and classification (32 classifiers considered), was applied for signature building and methodology optimization. The interpretability of the proposed model was further assessed with Grad-CAM for DL-features and feature ranking for radiomics features.

Results
The dual-delta model showed satisfactory discrimination between STAS and non-STAS and yielded the areas under the receiver operating curve (AUCs) of 0.94 (95% CI, 0.92–0.96), 0.84 (95% CI, 0.82–0.86), and 0.84 (95% CI, 0.83–0.85) in the internal and two external validation cohorts, respectively, with interpretable core feature sets and feature maps.

Conclusion
The coupling of delta-DL model with delta-radiomics features enriches information such as anisotropy of tumor growth and heterogeneous changes within the tumor during the radiological follow-up, which could provide valuable information for STAS prediction in primary lung cancer.
Silicon nanoparticles: fabrication, characterization, application and perspectives
Authors: Kim Taeyeong , Lee Jungchul 
Published: November 2023

AbstractSilicon nanoparticles have emerged as pivotal components in nanoscience and nanoengineering due to their inherent characteristics such as high energy capacity and outstanding optical properties. Numerous fabrication and characterization techniques have been researched so far, while a range of applications utilizing them have been developed. In this review, we aim to provide a brief overview of the distinct and representative fabrication methods of silicon nanoparticles, including top-down, bottom-up, and reduction approaches. Then, we look into various characterization techniques essential for assessing and ensuring quality and performance of fabricated silicon nanoparticles. In addition, we provide insights for silicon nanoparticle technology towards further advancements.
Microfluidic thrombosis analysis system: possibilities and limitations
Authors: Ham Dong-Hwi , Choi Ji-Seob , Choi Jin-Ho , Park Woo-Tae 
Published: November 2023

AbstractThrombosis is a double-edged sword. Normal thrombus formation within injured blood vessel is an important natural defensive mechanism to prevent excessive bleeding, whereas abnormal thrombus formation leads to critical disease such as stroke or myocardial infarction. One of keys in the pathophysiology mechanism involved in the thrombus formation is acute hemodynamic changes within the vessel lumen, which has been investigated mostly in pre-clinical and clinical studies. However, studies involving animal or human subjects are frequently limited by technical difficulties and requirement of substantial blood volume. Microfluidic systems have emerged as a valuable tool owing to their inherent advantages including minimal sample requirements and rapid analysis capabilities. In this mini review, we present a summary of microfluidic systems designed for thrombosis analysis, encompassing fabrication processes, design, and analysis methods. We also discuss both the potentials and limitations of microfluidic platform for the analysis of thrombus mechanisms.
Associations of dietary methyl donor nutrients with common psychological conditions (depression, anxiety and stress) among reproductive-aged women in Kabul, Afghanistan
Authors: Zahidi Fawzia , Abbasi Hanieh , Surkan Pamela J , Azadbakht Leila 
Published: November 2023

Abstract
Background
Higher levels of methyl donor nutrients may be associated with better psychological conditions. Little is known about the association of methyl donor nutrients with psychological conditions among women especially in Asian countries such as Afghanistan.

Method
This cross-sectional study was conducted in Kabul, Afghanistan to assess the association of methyl donor nutrients with common psychological conditions (depression, anxiety and stress) among reproductive-aged women using multistage random sampling to choose one health center from each municipality out of four cardinal directions. Finally a sample of 421 reproductive-aged women with a mean BMI of 23.3 ± 5.0 kg/m2 and an age range of 15–45 years were collected. All women’s dietary intakes were obtained using a 24-recall questionnaire. Depression, Anxiety and Stress Scale − 21 Items (DASS-21) was used to assess psychological conditions. Chi-square tests and one-way ANOVAs were performed to assess general characteristics. Residual model test while adjusting for energy intake was used to assess nutrient intake of methyl donor nutrients and food groups. We fitted logistic regression models to assess risk for Common mental health problems (CMHPs) based on methyl donor tertiles.

Result
We observed that there is no significant association between methyl donor nutrients and psychological disorders in both crude and adjusted models (depression, OR = 0.95, CI: 0.48; 1.88; anxiety, OR = 0.88, CI: 0.43, 1.79; stress, OR = 0.73, CI: 0.38, 1.40), (p > 0.05).

Conclusion
Overall, we did not find any significant association between methyl donor nutrients and depression, anxiety and stress.
An update on visual prosthesis
Authors: Ramirez Kailyn A. , Drew-Bear Laura E. , Vega-Garces Maria , Betancourt-Belandria Henry , Arevalo J. Fernando 
Published: November 2023

Abstract
Purpose
To review the available evidence on the different retinal and visual prostheses for patients with retinitis pigmentosa and new implants for other indications including dry age-related macular degeneration.

Methods
The PubMed, GoogleScholar, ScienceDirect, and ClinicalTrials databases were the main resources used to conduct the medical literature search. An extensive search was performed to identify relevant articles concerning the worldwide advances in retinal prosthesis, clinical trials, status of devices and potential future directions up to December 2022.

Results
Thirteen devices were found to be current and were ordered by stimulation location. Six have active clinical trials. Four have been discontinued, including the Alpha IMS, Alpha AMS, IRIS II, and ARGUS II which had FDA and CE mark approval. Future directions will be presented in the review.

Conclusion
This review provides an update of retinal prosthetic devices, both current and discontinued. While some devices have achieved visual perception in animals and/or humans, the main issues impeding the commercialization of these devices include: increased length of time to observe outcomes, difficulties in finding validated meaures for use in studies, unknown long-term effects, lack of funding, and a low amount of patients simultaneously diagnosed with RP lacking other comorbid conditions. The ARGUS II did get FDA and CE mark approval so it was deemed safe and also effective. However, the company became more focused on a visual cortical implant. Future efforts are headed towards more biocompatible, safe, and efficacious devices.
Cerebral sparganosis: rare parasitic infection of the brain
Authors: Chougule Meghana V. , Mohite Aniruddha , Joshi Vijay P. , Agrawal Amit 
Published: November 2023

AbstractSpirometra is larval cestode that involve humans as accidental intermediate hosts. Although the incidence of central nervous system infestation with sparganum is low, the diagnosis of the disease can cause delayed with an increased possibility of severe brain damage and neurological deficits. The present case reports a case of a 19-year male student and describes the imaging findings, histopathological characteristics, and management of this rare disease. The patient was treated surgically with good outcome.
Predicting snag fall in an old-growth forest after fire
Authors: Becker Kendall M. L. , Lutz James A. 
Published: November 2023

Abstract
Background
Snags, standing dead trees, are becoming more abundant in forests as tree mortality rates continue to increase due to fire, drought, and bark beetles. Snags provide habitat for birds and small mammals, and when they fall to the ground, the resulting logs provide additional wildlife habitat and affect nutrient cycling, fuel loads, and fire behavior. Predicting how long snags will remain standing after fire is essential for managing habitat, understanding chemical cycling in forests, and modeling forest succession and fuels. Few studies, however, have quantified how fire changes snag fall dynamics.

Results
We compared post-fire fall rates of snags that existed pre-fire (n = 2013) and snags created during or after the fire (n = 8222), using 3 years of pre-fire and 5 years of post-fire data from an annually monitored, 25.6-ha spatially explicit plot in an old-growth Abies concolor–Pinus lambertiana forest in the Sierra Nevada, CA, USA. The plot burned at low to moderate severity in the Rim Fire of 2013. We used random forest models to (1) identify predictors of post-fire snag fall for pre-existing and new snags and (2) assess the influence of spatial neighborhood and local fire severity on snag fall after fire. Fall rates of pre-existing snags increased 3 years after fire. Five years after fire, pre-existing snags were twice as likely to fall as new snags. Pre-existing snags were most likely to persist 5 years after fire if they were > 50 cm in diameter, > 20 m tall, and charred on the bole to heights above 3.7 m. New snags were also more likely to persist 5 years after fire if they were > 20 m tall. Spatial neighborhood (e.g., tree density) and local fire severity (e.g., fire-caused crown injury) within 15 m of each snag barely improved predictions of snag fall after fire.

Conclusions
Land managers should expect fall rates of pre-existing snags to exceed fall rates of new snags within 5 years after fire, an important habitat consideration because pre-existing snags represent a wider range of size and decay classes.
Incidence of thrombophilic gene polymorphism (MTHFR C677T) in Egyptian COVID-19 patients and its clinical implications
Authors: Abdelfattah Eman Badawy , Abdelmaksoud Sahar Samir , Shalaby Heba Mohamed , Abo-zid Saad Shehata , Youssef Mahmoud M. Aboulmagd M. , Elshebiny Ahmed Ali , Ezzelregal Hieba Gamal 
Published: November 2023

Abstract
Background
COVID-19 has an important component of organ damage which is COVID-19-associated coagulopathy. It is necessary to assess the risk in patients to develop a thrombophylaxis plan. The higher prevalence of key thrombophilic genetic variants, such as mutation of the C677T-methylenetetrahydrofolate reductase (MTHFR) gene in Eastern Mediterranean countries, makes it challenging to use the same criteria in other world countries with differing thrombophilic panels.

Objective
To find the incidence of MTHFR gene polymorphism in a cohort of Egyptian patients with COVID-19, and its association with thromboembolic events.

Subjects and methods
This was a prospective observational cohort study, done at Ain-Shams University isolation Hospitals, Cairo, Egypt. It included 33 patients with COVID-19 and 13 healthy controls. The patients underwent lab investigations: HRCT chest in which the extent of radiological affection was described in terms of severe form (> 50% of lungs are affected) and non-severe form (< 50% of lungs are affected) and assessment of MTHFR-C677T genotypes. Then follow-up for 28 days for vascular thrombotic manifestations.

Results
Out of 33 patients, MTHFR-gene mutation was found in 10 (incidence rate 30.3%). Severe form of affection in the HRCT chest was significantly related to mutation of the MTHFR gene (P value = 0.009). Patient cure and discharge were significantly related to the absence of mutation of MTHFR-gene (P value = 0.025), whereas death and radiological evidence of thrombosis were significantly related to the presence of MTHFR-gene mutation (P value = 0.027 and 0.022 respectively). Age > 55 years (60% sensitivity, 100% specificity, PPV 100%), albumin ≤ 3.2 gm/dl (50% sensitivity, 95.65% specificity, PPV83.3%), and ferritin > 453 ng/L (70% sensitivity, 82.61% specificity, PPV 63.6%) were predictors of mutation of MTHFR-gene.

Conclusion
Incidence of mutation of MTHFR-gene was 30.3% in COVID-19 patients. Results suggest a potential association between inherited MTHFR gene mutation and severe form of COVID-19, thromboembolic events, and mortality.

Trial registration
ClinicalTrials.gov ID: NCT05679414. https://register.clinicaltrials.gov/prs/app/action/SelectProtocol?sid=S000CU2V&selectaction=Edit&uid=U00056R5&ts=2&cx=lrrb7q. Retrospectively registered. 9th Jan 2023.
Content analysis of corrupt behavior in anti corruption Film Festival (ACFFest) Films
Authors: Maheswara Kevin , Widyasari Wulan 
Published: November 2023

Corrupt behavior is a deviation in life; therefore, the need for mass media assistance that has a role in preventing and eradicating corruption in Indonesia is a medium that conveys knowledge to the public regarding bribery. Anti Corruption Film Festival(ACFFest) films were chosen as the object of research because of the film's themed stories about corruption. This research uses a quantitative descriptive method with Holsti model content analysis. The sampling technique used is saturated sampling (census), where all members of the population are used as samples. The results of this study found a tendency of corrupt behavior in 39 scenes out of 163 scenes. There is an perbuatan curang form of 59% or 23 scenes of the total scenes observed. For the frequency of scene pemerasan, seven scenes or 18%. Form penggelapan dalam jabatan is 15% or six scenes, and also three scenes or 8% in form suap menyuap. In ACFFest films, there are films that contain petty corruption, active and passive corruption, theft, embezzlement, and conduct creating or exploiting conflicting interests.
Carotid-subclavian bypass and endovascular aortic repair of Kommerell’s diverticulum with aberrant left subclavian artery: A case report
Authors: Akilu Wajeehullahi , Feng Yi , Zhang Xiao-Xue , Li Shi-Liang , Ma Xian-Tao , Hu Min , Cheng Cai 
Published: November 2023

BACKGROUND
Kommerell’s diverticulum (KD) with aberrant left subclavian artery is a rare congenital deformity and also has very little research literature about it (35% of case study). There are three types of aortic arch diverticulum. Even literature concerning the treatment options are limited.
CASE SUMMARY
We present a case report of a 50-year-old male with KD in the right aortic arch with aberrant left subclavian artery. We conducted a total endovascular repair procedure, which is innovative and will spread more light in the medical world. Our patient has no past medical history and is a non-smoker and non-alcoholic. Patient presented with shortness of breath, chest pain and dizziness for six months. Blood tests were done and computerized tomography (CT) angiogram of the chest confirmed the diagnosis, illustrating showed a 3.9 cm KD. On Day 1, the CT angiogram showed mild dilatation of the thoracic aorta, adjacent esophagus, trachea was compressed and displaced. Surgery was planned as the treatment modality. Carotid-Subclavian artery bypass and endovascular aortic repair was conducted. We used prolene 5-0 C1 sutures to precisely anastomose a 6-mm Dacron graft to the left subclavian artery. Haemostasis was secured and wounds were closed. Protamine was administered and patient was shifted to intensive care unit. Post-operative, patient responded favorably and was discharged. Regular follow-up is done.
CONCLUSION
The procedure we performed is novel. This will help the cardio-thoracic surgeons a better insight about the full procedures we conducted, thereby bringing more light and better treatment options in managing KD with aberrant subclavian artery.
A Dynamic Latent-Space Model for Asset Clustering
Authors: Casarin Roberto , Peruzzi Antonio 
Published: November 2023

Abstract
Periods of financial turmoil are not only characterized by higher correlation across assets but also by modifications in their overall clustering structure. In this work, we develop a dynamic Latent-Space mixture model for capturing changes in the clustering structure of financial assets at a fine scale. Through this model, we are able to project stocks onto a lower dimensional manifold and detect the presence of clusters. The infinite-mixture assumption ensures tractability in inference and accommodates cases in which the number of clusters is large. The Bayesian framework we rely on accounts for uncertainty in the parameters’ space and allows for the inclusion of prior knowledge. After having tested our model’s effectiveness and inference on a suitable synthetic dataset, we apply the model to the cross-correlation series of two reference stock indices. Our model correctly captures the presence of time-varying asset clustering. Moreover, we notice how assets’ latent coordinates may be related to relevant financial factors such as market capitalization and volatility. Finally, we find further evidence that the number of clusters seems to soar in periods of financial distress.
A case of catamenial erythema multiforme major successfully treated with goserelin
Authors: Tyack Lauren T , Stuckey Bronwyn G A , Walsh John P 
Published: November 2023

Summary
We report a case of catamenial erythema multiforme major in a 46-year-old female. She was treated successfully with goserelin, a GnRH agonist, until the expected age of menopause; however, its therapeutic effects persisted for longer than expected, possibly due to accumulation in adipose tissue.

Learning points

A group of menstrual cycle-related dermatoses and hypersensitivity syndromes exist but are rarely reported in the literature.

A history of recurrent cutaneous eruptions in premenopausal females should be considered in the context of the menstrual cycle.

The diagnosis of menstrual cycle-related dermatoses is largely clinical, although provocation testing can assist.

Treatment options are broad and are aimed at reducing the immune response and/or suppressing ovulation.

Goserelin may accumulate and have a gonadotrophin-suppressing effect for longer than expected.