bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Stenoses Using AI Video Models Applied to Coronary Angiographies
Authors: Avram Robert , Labrecque-Langlais Elodie , Corbin Denis , Tastet Olivier , Hayek Ahmad , Doolub Gemina , Mrad Sebastián , Tardif Jean-Claude , Tanguay Jean-Francois , Marquis-Gravel Guillaume , Tison Geoffrey , Kadoury Samuel , Le William , Gallo Richard , Lesage Frederic 
Published: November 2023

Abstract

The coronary angiogram is the gold standard for evaluating the severity of coronary artery disease stenoses. Presently, the assessment is conducted visually by cardiologists, a method that lacks standardization. This study introduces DeepCoro, a ground-breaking AI-driven pipeline that integrates advanced vessel tracking and a video-based Swin3D model that was trained and validated on a large dataset comprised of 182,418 coronary angiographies spanning 4 years. DeepCoro achieved a notable precision of 71.89% in identifying coronary artery segments and demonstrated a mean absolute error of 20.15% (95% CI: 19.88-20.40) and a classification AUROC of 0.8294 (95% CI: 0.8215-0.8373) in stenosis percentage prediction compared to traditional cardiologist assessments. When compared to two expert interventional cardiologists, DeepCoro achieved lower variability than the clinical reports (19.09%; 95% CI: 18.55-19.58 vs 21.00%; 95% CI: 20.20-21.76, respectively). In addition, DeepCoro can be fine-tuned to a different modality type. When fine-tuned on quantitative coronary angiography assessments, DeepCoro attained an even lower mean absolute error of 7.75% (95% CI: 7.37-8.07), underscoring the reduced variability inherent to this method. This study establishes DeepCoro as the first video-based, adaptable tool in coronary artery disease analysis, significantly enhancing the precision and reliability of stenosis assessment.
Modelling the transmission dynamics of H9N2 avian influenza viruses in a live bird market
Authors: Pinotti Francesco , Kohnle Lisa , Lourenço José , Gupta Sunetra , Hoque Md. Ahasanul , Mahmud Rashed , Biswas Paritosh , Pfeiffer Dirk , Fournié Guillaume 
Published: November 2023

Abstract

H9N2 avian influenza viruses (AIVs) are a major concern for the poultry sector and human health in countries where this subtype is endemic. By fitting a model simulating H9N2 AIV transmission to data from a field experiment, we characterise the epidemiology of the virus in a live bird market in Bangladesh. Many supplied birds arrive already exposed to H9N2 AIVs, resulting in many broiler chickens entering the market as infected, and many indigenous backyard chickens entering with pre-existing immunity. Most susceptible chickens become infected within one day spent at the market, owing to high levels of viral transmission within market and short latent periods, as brief as 5.3 hours. Although H9N2 AIV transmission can be substantially reduced under moderate levels of cleaning and disinfection, effective risk mitigation also requires a range of additional interventions targeting markets and other nodes along the poultry production and distribution network.
Novel Magnetic Bimetallic AuCu Catalyst for Reduction of Nitroarenes and Degradation of Organic Dyes
Authors: Gholinejad Mohammad , Bashirimousavi Saba , Sansano J.M. 
Published: November 2023

Abstract

Herein, core-shell magnetic nanoparticles are modified with imidazolium-tagged phosphine and propylene glycol moieties and used for stabilization of bimetallic AuCu nanoparticles. The structure and morphology of prepared material is identified with SEM, TEM, XRD, XPS, atomic absorption spectroscopy, Fourier translation infrared spectroscopy, and vibrating sample magnetometer. This hydrophilic magnetic bimetallic catalyst applied in the reduction of toxic nitroarenes and degradation of hazardous organic dyes of methyl orange (MO), methyl red (MR), and rhodamine B (RhB), as well as in the degradation of tetracycline (TC). This magnetic AuCu catalyst indicated superior activity in all three mentioned reactions in comparison with its single metal analogs Au and Cu. This catalyst was recycled for 17 consecutive runs in the reduction of 4-nitrophenol to 4-aminophenol without a significant decreasing in catalytic activity and recycled catalyst was characterized.
Using Cryoprobes of Different Sizes Combined with Cone-Beam Computed Tomography-Derived Augmented Fluoroscopy and Endobronchial Ultrasound to Diagnose Peripheral Pulmonary Lesions: A Propensity-Matched Study
Authors: Lin Ching-Kai , Ruan Sheng-Yuan , Fan Hung-Jen , Chang Hao-Chun Chang , Lin Yen-Ting , Ho Chao-Chi 
Published: November 2023

Abstract
Background
Endobronchial ultrasound (EBUS) and cone-beam computed tomography-derived augmented fluoroscopy (CBCT-AF) are utilized for the diagnosis of peripheral pulmonary lesions (PPLs). Combining them with transbronchial cryobiopsy (TBC) can provide sufficient tissue for genetic analysis. However, cryoprobes of different sizes have varying degrees of flexibility, which can affect their ability to access the target bronchus and potentially impact the accuracy. The aim of this study was to compare the diagnostic efficacy of cryoprobes of varying sizes in CBCT-AF and EBUS for the diagnosis of PPLs.
Methods
Patients who underwent endobronchial ultrasound-guided transbronchial biopsy (EBUS-TBB) and TBC combined with CBCT-AF for PPLs diagnosis between January 2021 and May 2022 were included. Propensity score matching and competing-risks regression were utilized for data analysis.
Results
A total of 284 patients underwent TBC, with 172 using a 1.7-mm cryoprobe (1.7 group) and 112 using a 1.1-mm cryoprobe (1.1 group). Finally, we included 99 paired patients following propensity score matching. The diagnostic accuracy of TBC was higher in the 1.1 group (80.8% vs 69.7%, P = 0.050), with a similar rate of complications. Subgroup analysis also revealed that the 1.1 group had better accuracy when PPLs were located in the upper lobe (85.2% vs 66.1%, P = 0.020) and when PPLs were smaller than 20 mm (78.8% vs 48.8%, P = 0.008). TBC obtained larger specimens than TBB in both groups. The sample size obtained by TBC did not differ between the 1.7 and 1.1 groups (40.8 mm2 vs 22.0 mm2, P = 0.283).
Conclusions
The combination of TBC with CBCT-AF and EBUS is effective and safe in diagnosing PPLs, and a thin cryoprobe is preferred when the PPLs located in difficult areas.
Identifying Autophagy-Related mRNAs and Potential ceRNA Networks in meniscus degeneration based on RNA Sequencing and experimental validation
Authors: Zhang Jun , Zou Xinyu , Liu Yiming , Zhao Boming , Li Bin , Chen Biao 
Published: November 2023

Abstract

Purpose. The intimate connection between long noncoding RNA (lncRNA) and autophagy has been established in cartilage degeneration. However, their roles in meniscal degeneration remain ambiguous. This study aimed to identify the key autophagy-related lncRNA and its associated regulatory network in meniscal degeneration in the context of osteoarthritis (OA).
Methods. RNA sequencing was performed to identify differentially expressed lncRNAs (DELs) and mRNAs (DEMs), which were then conducted to enrichment analyses using the DAVID database and Metascape. Autophagy-related DEMs were identified by combining DEMs with data from the Human Autophagy Database. Three databases were used to predict miRNA, and the DIANA LncBase Predicted database was utilized to predict miRNA-lncRNA interactions. Based on these predictions, comprehensive competitive endogenous RNA (ceRNA) network were constructed. The expression levels of autophagy-related lncRNAs and mRNAs in the ceRNA network were validated. Additionally, Gene Set Enrichment Analysis (GSEA) was performed using autophagy-related DEMs.
Results. 310 DELs and 320 DEMs were identified, with five upregulated and one downregulated autophagy-related DEMs. Through reverse prediction of miRNA, paired miRNA-lncRNA interactions, and verification using RT-qPCR, two lncRNAs (PCAT19, CLIP1-ASA) and two mRNAs (BAG3 and HSP90AB1) were included in the constructed ceRNA regulatory networks. GSEA indicated that the increased expression of autophagy-related mRNAs inhibited glycosaminoglycan biosynthesis in the degenerative meniscus.
Conclusion. This study presented the first construction of regulatory ceRNA network involving autophagy-related lncRNA-miRNA-mRNA interactions in OA meniscus. These findings offered valuable insights into the mechanisms underlying meniscal degeneration and provided potential targets for therapeutic intervention.
Combating the Global Environmental Crisis Using Indigenous Ecological Knowledge: The Case of Kwahu Traditional Area, Ghana
Authors: Asante Daniel Boamah , Adom Dickson , Asante Afua , Gyamera Vera 
Published: November 2023

Abstract
In response to the global environmental crisis, this study focuses on indigenous ecological knowledge in Ghana's Kwahu Traditional Area. The research redefines traditional environmental conservation by exploring the Kwahu people's practices, revealing their harmonious relationship with nature. The study highlights the Kwahu's reverence for totemic animals, acting as ecological custodians, symbolizing the interconnectedness of human and non-human realms. It uncovers their holistic understanding of land and water bodies, contributing to sustainable resource management and enhancing ecological resilience. Integral to their environmental management is the observance of sacred days, intertwining spiritual and ecological aspects. By showcasing these practices, the article emphasizes their relevance in addressing global environmental challenges, offering insights into a culturally grounded approach to contemporary conservation.
Mendelian randomization study of urolithiasis: exploration of risk factors using human blood metabolites
Authors: Hu Dekai , Pan Jiashan , Deng Anqi , Yao Rui , Hou Bingbing , Hao Zongyao 
Published: November 2023

Abstract

Urolithiasis is a highly prevalent global disease closely related to metabolic factors, but we have little understanding of its underlying mechanisms. Analysis of blood metabolites may enable better comprehension of the underlying biological pathogenesis. The emergence of genome-wide association studies (GWAS) can provide an opportunity to reveal the relationship between urolithiasis and human blood metabolites through Mendelian randomization (MR). In our study, we used a two-sample MR analysis to investigate the causal relationships between urolithiasis and metabolites. The random-effects inverse-variance weighted (IVW) estimation method was used as the major method with several other estimators as supplementary methods. According to our results, we identified 11 known (5 protective and 6 risk) serum metabolites associated with urolithiasis. Among the known protective metabolites, two were lipids (3-hydroxybutyrate (BHBA) and dehydroisoandrosterone sulfate), one amino acid (Isobutyrylcarnitine), one carbohydrate (mannose), and one cofactors and vitamins (Bilirubin (Z, Z)). The known risk metabolites included two lipids (glycerol and cortisone), one amino acid (cysteine), one carbohydrate (erythronate), one peptide (pro-hydroxy-pro) and one fatty acid (eicosenoate (20:1n9 or 11)). Additionally, six metabolic pathways have been identified to be associated with urolithiasis. The evidence of human blood metabolites influencing urolithiasis provided by our results supports future efforts to improve based metabolites therapies to prevent onset of urolithiasis.
Enhancing User Capabilities While Reducing Cognitive Load in VR: A Comparative Analysis of Desktop 3D Virtual Reality and 2D Environments
Authors: Sudár Anna , Csapó Ádám Balázs 
Published: November 2023

Abstract
Numerous studies indicate that in many particular cases, spatial 3D digital environments can offer more effective methods for information and knowledge sharing than 2D graphical user interfaces. This effectiveness arises from the unique ability of 3D spaces to present users with different types of content, such as written documents, web-based content, audio-visual materials, and even interactive 3D models, all at once and in a spatially meaningful arrangement. For instance, in a 3D virtual space, related documents can be placed closer to each other than those focusing on different topics. Similarly, content meant to convey key points can also be designed to appear relatively larger than less prominent documents. Such spatial arrangements help convey semantic relationships implicitly, allowing users to quickly understand the content and form more memorable impressions with less effort. However, it is not fully understood when and how these potential benefits of 3D environments can be fully realized. In this paper, we focus on this question, specifically in the context of desktop 3D environments, aiming to understand the conditions under which they can lead to improved performance and/or less cognitive load compared to 2D digital interfaces. In particular, we present the results of two experiments in which we compared user performance, eye tracking data (including pupil dilation), and a set of qualitative measures during a learning task carried out in a 2D environment and two different 3D virtual reality scenarios. The notable differences between these 3D scenarios -- as well as disparities in the corresponding results -- allowed us to draw two conclusions: first, that 3D spatial environments can indeed lead to the reduction of cognitive load compared to 2D interfaces, and second, such reductions in cognitive load are more effective in 3D spaces that require less (virtual) spatial locomotion, even at the expense of a greater number of camera rotations. Together, these results suggest that the ability of VR to reduce users' cognitive load may have more to do with the spatial qualities of the content arrangement than with the spatial situatedness of the users.
Tail Classification using Non-Linear Regression on Tail Model Plots
Authors: Beirlant Jan , Bladt Martin 
Published: November 2023

Abstract

Selecting an appropriate statistical model is a crucial initial step in various statistical analyses, particularly when estimating extreme values. Empirical plots, such as Pareto, log-normal, and Weibull plots, serve as valuable tools for visualizing the data and identifying patterns that can suggest a suitable model.
In classical extreme value methodology, tail modeling often relies on linear regression applied to the upper quantiles or probability plots. Focusing on probability plots, we extend the traditional linear regression approach to encompass non-linear regression. This expansion enables the visualization of extreme data in terms of their compatibility with widely accepted tail models. We then develop asymptotic theory for the non-linearity parameter, which, in turn, allows us to formalize classification procedures to distinguish between specific sets of tail models.
IDNet: An Inception-like Deformable Non-local Network forProjection Compensation over Non-Flat Textured Surfaces
Authors: Zhang Yuqiang , Yang Huamin , Han Cheng , Zhang Chao , Xu Chao , Lu Shiyu 
Published: November 2023

Abstract

Projector compensation on non- at textured surfaces is a challenging task. Existing methods struggleto correct significant distortions. Our approach, IDNet, overcomes these limitations with incorporatingthree Inception-like modules, by which we capture multiscale features using deformable convolutionand non-local attention mechanisms. Specically, we employ multiscale deformable convolutions forgeometric distortions and an Inception-like module for photometric compensation. The addition ofa residual-based non-local attention module further enhances both processes. Experimental results show that IDNet performs as the state-of-the-art comparing with the existing methods.
Metal oxide doped polypropylene yarns with photocatalytic effect
Authors: Zatroch Tomáš , Kleščík Michal , Kořínková Radka , Kráľ Ján 
Published: November 2023

Abstract
Functionalised textiles are produced eighter by surface treatment of textiles and by knitting or weaving of yarns and fibers with surface modification, or additive incorporated by compounding. Photocatalytic activity of oxides used as pigments TiO2 and ZnO can be utilized to add antimicrobial and self-cleaning properties to polymerbased fibers and yarns. False twist textured polypropylene yarns containing micronized titanium dioxide, zinc oxide and α-ferric oxide, as well as control sample without oxide pigment, were produced by means of compounding, melt spinning and false-twist texturizing. Knitted textiles made of these yarns were subsequently tested for photocatalytic activity, using sodium salicylate as a model pollutant in indoor conditions and a solution of dye Orange II for solar test in aqueous environment and solar irradiation. Although for indoor conditions both TiO2 and ZnO showed similar level of activity, reducing the half-time for sodium salicylate break-down by 23% and 24% respectively, this reaction may be considered slow for practical application. In contrast, almost 80% of Orange II was broken down in 24 hours on TiO2 doped textile in experiment with simulated solar irradiation.
Optimized Spatial Configuration of Heterogeneous Biocatalysts Maximizes Cell-Free Biosynthesis of ω-Hydroxy and ω-Amino Acids
Authors: Santiago-Arcos Javier , Velasco-Lozano Susana , Diamanti Eleftheria , Grajales- Daniel A. , Mateos Ana I. Benítez , Paradisi Francesca , López-Gallego Fernando 
Published: November 2023

Abstract

Cell-free biocatalysis is gaining momentum in the production of value-added chemicals, particularly in stepwise reaction cascades. However, the stability of enzyme cascades in industrial settings is often compromised when using free enzymes. In this study, we have developed a stable multifunctional heterogeneous biocatalyst co-immobilizing five enzymes on microparticles to transform 1,ω-diols into 1,ω-hydroxy acids. We improved the operational efficiency and stability of the heterogeneous biocatalyst by fine-tuning enzyme loading and spatial organization. Stability issues are overcome through post-immoblization polymer coating. The general applicability of this heterogeneous biocatalyst is demonstrated by its scale-up in both batch and packed bed reactors, allowing a product yield > 80%. The continuous process is fed with H2O2 as oxygen source, reaching a Space-Time Yield (STY) of 0.76 g·L− 1·h− 1, maintained for the first 12 hours. Finally, this flow system is telescoped with a second plug-flow reactor packed with a different heterogeneous biocatalyst. As a result, this 6-enzyme 2-reactor system sequentially transforms 1,ω-diols into 1,ω-aminoacids while in-situ recycling NAD+, depleting H2O2 and generating O2.
The dynamics of fire activity in Brazilian Pantanal: A LGCP-based structural decomposition
Authors: Valente Fernanda , Laurini Márcio Poletti 
Published: November 2023

Abstract
We analyzed changes in fire occurrence patterns in the Brazilian Pantanal using remote sensing data resources. To estimate the spatio-temporal dynamics of fire occurrence, we employed a structural representation using a log-Gaussian Cox process (LGCP), which decomposes the intensity function into components of trend, seasonality, cycle, covariates, and time-varying spatial effects. The results obtained indicate significant variations in the trends of fire occurrence in the Brazilian Pantanal. The intensity of fire occurrence is statistically higher in natural vegetation. A counterfactual decomposition indicates that a significant portion of the recorded fires observed in the first three quarters of 2020 cannot be explained by climatic factors alone, suggesting possible causation by intentional human actions.
Low-loss Y-junction subwavelength splitter
Authors: Prosopio-Galarza RR , Jara Freddy , Gonzalez Jorge , Armas-Alvarado Maria , Hernandez-Figueroa Hugo E. , Rubio-Noriega Ruth E. 
Published: November 2023

Abstract

Subwavelength grating structures have revolutionized refractive index engineering, enabling the creation of artificial materials with unprecedented optical properties or reducing the feature size of some devices. This is a challenging field because fabrication limitations constrict it. As a contribution to this field, we involve a study focusing on the automatic optimization of a 1 × 2 multi-mode interferometer compact power splitter based on subwavelength grating waveguides. Utilizing the Particle Swarm Optimization algorithm we highlight a transmittance of 47.7% at 1550 nm. Additionally, our optimized design consistently maintained a high transmittance, surpassing 46.6%, across a broad spectrum of wavelengths from 1450 nm to 1650 nm. This underscores the efficacy of employing the Particle Swarm Optimization algorithm in achieving and sustaining enhanced performance for the optical device. Notably, our proposed device is at least five times smaller than existing state-of-the-art solutions, demonstrating significant strides in miniaturization and performance enhancement within this cutting-edge field. In addition, our research investigates the system's capacity to withstand manufacturing errors by examining the effects of displacements. Specifically, we assess the impact of deviations, ranging from ±10 to ±20 nm, within the period of our subwavelength grating waveguides.
The Association Between the American College of Sports Medicine Recommended Aerobic Exercise and Healthy Behavior, Disease Incidence, Activity Restriction, Quality of Life, and Hematological Profile in the Elderly
Authors: YI EUN SURK , Byun Hyun , KIM Mun-Hee 
Published: November 2023

Abstract
Background
Regular exercise in the elderly is essential for healthy aging and has a profound relationship with mental health.
Aim
In this study, the relationship between exercise status by age group and health, health behaviors, and health perceptions of the elderly were investigated.
Methods
This study included 641 elderly men aged 65 to 80 years who participated in the 2018 Korean National Health and Nutrition Examination Survey. Participants were divided into exercise and non-exercise groups by age (65–69 years, 70–74 years, 75–80 years). The exercise group engaged in ≥ 150 minutes of moderate-intensity physical activity, 75 minutes of high-intensity physical activity, or a mixture of moderate-intensity and high-intensity physical activity (1 min of high-intensity equals 2 minutes of moderate-intensity) per week. It was selected as the elderly in practice. The smoking rate, alcohol consumption rate, nutritional intake, sedentary lifestyle time, uncomfortable days in the past 2 weeks, outpatient use frequency, weekdays and weekend sleep time, blood pressure, resting heart rate, and blood analysis results were analyzed according to exercise status and age group. An independent t-test was conducted to determine the differences in components, activity restriction (activity restriction, discomfort for the last 2 weeks), daily stress perception, subjective health status, quality of life (QoL), health check-up rate, subjective figure recognition, and disease incidence rate (obesity, diabetes, hypertension, hypercholesterolemia, hypertriglyceridemia) and then cross-analyzed to determine whether there was a relationship with exercise.
Results
The results of this study showed that the aerobic exercises recommended by the American College of Sports Medicines had a positive relationship with the smoking rate, nutrition (energy intake, protein intake, dietary fiber intake), activity restrictions, QoL (exercise ability, daily activities, anxiety/depression), and hemodynamic variables (hemoglobin A1c) of the elderly, and it confirmed that the differences in health benefits between the exercise and non-exercise groups increased with age.
Conclusion
It was confirmed that the amount of exercise recommended by ACSM is an appropriate amount of exercise for elderly people