bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rivaroxaban in patients with abdominal aortic aneurysm and high-sensitivity C-reactive protein elevation (BANBOO): study protocol for a randomized, controlled trial
Authors: Li Jingyuan , Ma Sicong , Jia Xiu , Bu Yingzhen , Zhou Tienan , Zhang Lei , Qiu Miaohan , Wang Xiaozeng 
Published: November 2022

Abstract

BackgroundAbdominal aortic aneurysm (AAA) is a fatal disease due to the propensity to rupture. The drug treatment for small AAA without surgical indications has been controversial. Previous studies showed that high-sensitivity C-reactive protein (hs-CRP) had become a potential biomarker of the disease, and the anti-inflammatory effect of rivaroxaban for AAA has been corroborated. Thus, we hypothesized that rivaroxaban could control the progression of AAA in patients with hs-CRP elevation.MethodsThe study is a prospective, open-label, randomized, controlled clinical trial. Sixty subjects are recruited from the General Hospital of Northern Theatre Command of China. Subjects are randomly assigned (1:1) to the intervention arm (rivaroxaban) or control arm (aspirin). The primary efficacy outcome is the level of serum hs-CRP at six months. The secondary outcomes include imaging examination (the maximal diameter of AAA, the maximal thickness of mural thrombus, and the length of aneurysm), major adverse cardiovascular and cerebrovascular events (MACCE, including AAA transformation, non-fatal myocardial infarction, acute congestive heart failure, stent thrombosis, ischemia-driven target vessel revascularization, vascular amputation, stroke, cardiovascular death, and all-cause death), other laboratory tests (troponin T, interleukin 6, D-dimer, and coagulation function).DiscussionThe BANBOO trial tested the effect of rivaroxaban on the progression of AAA in patients with elevated Hs-CRP for the first time.Trial registration:ChiCTR2100051990, ClinicalTrials.gov, registered October 12, 2021.
An African perspective on collaborative interprofessional curriculum evolvement: a qualitative reflection.
Authors: Pitout Hanlie , Barnard-Ashton Paula , Adams Fasloen , du Toit Sanetta 
Published: November 2022

Abstract
Background: Developing interprofessional education and collaborative practice curricula benefits from multiple perspectives. There is an abundance of literature available on such curricula, but very few combine research evidence with theoretical guidelines for planning.
Method: Brookfield’s theory guided a critical reflection of the development of a curriculum at a South African University, with his four identified Lenses focusing on perspectives of the: 1) principal investigator, 2) students, 3) lecturers and 4) available literature. Data were collected through focus groups with students and lecturers, a needs survey, events feedback, and review of literature. The aim of this paper is to clarify understanding and guide curriculum planning and development.
Results: The two identified themes encapsulated several categories each. Theme A addresses the formal curriculum and include embeddedness across professions curricula, highlighting the importance of buy-in from management, offering it across all years of study as an integrated subject and curriculum management issues. Further considerations are the content of the curriculum, presented through a scaffolded approach, addressing core competencies and benchmarking with other institutions. The methods used for teaching, learning and assessment included the preparation of lecturers to facilitate and use of a variety of learning and assessment methods. Theme B addresses teamwork between stakeholders, including the importance of role models, patient-centred care, appreciation of diversity e.g., vernacular of the professions and level of preparedness for IPECP and the importance and affordances in terms of egalitarian relationships based on respect and recognition and hegemony.
Conclusion: The lenses highlighted the complexity of curriculum planning and encapsulated both unique views as well as diverse complimentary perspectives of aspects to consider for buy-in of an IPECP curriculum.
Influences of nonlinear cross-diffusion on a reduced SI epidemic model with saturated treatment
Authors: Kumar Arun , Gupta Ravi Pratap , Tiwari Shristi 
Published: November 2022

Abstract
In this article, we suggest a novel nonlinear cross-diffusion to understand the distribution of susceptible and infected individuals in their habitat through an SIR epidemic model with saturated treatment under zero-flux boundary conditions. First, we examine the boundedness of solutions to the proposed spatio-temporal model using the theory of parabolic partial differential equations. We ensure that at least one non-constant positive steady state is admissible in the reduced SI model with the suggested cross-diffusion. We draw the conclusion that susceptible and infected populations may coexist in the presence of cross-diffusion. Furthermore, we have shown that the system exhibits Turing instability. Through the existence of codimension-2 Turing-Hopf bifurcation we determine the Turing space in the spatial domain. Due to various seasonal effects of diseases, we introduced two novel perturbations. A detailed numerical simulation is performed with these perturbations to illustrate various types of scenarios of pattern formation like holes, strips, and holes-strips mixtures inside the Turing space. Non-Turing and Turing-bogdanov-Takens patterns have also been observed for suitable parameter choices. The corresponding spatial series and surfaces are also plotted to clarify the results obtained for various patterns. This work provides a significant insight into how epidemic models can be influenced by cross-diffusion.
MSC 2020 No.: 35K57, 35B36, 92D25
A pairwise radiomics algorithm - lesion pair relation estimation (PRE) model for distinguishing multiple primary lung cancer (MPLC) from intrapulmonary metastasis (IPM)
Authors: Chen Ting-Fei , Yang Lei , Chen Hai-Bin , Yang Hao-Shuai , Wu Zhen-Tian , Luo Hong-He , Li Qiong , Zhu Ying 
Published: November 2022

Abstract
Background
Distinguishing multiple primary lung cancer (MPLC) from intrapulmonary metastasis (IPM) is critical for their disparate treatment strategy and prognosis. This study aimed to establish a non-invasive model to make the differentiation pre-operatively.
Methods
We retrospectively studied 168 patients with multiple lung cancers (307 pairs of lesions) including 118 cases for modeling and internal validation, and 50 cases for independent external validation. Radiomic features on computed tomography (CT) were extracted to calculate the absolute deviation of paired lesions. Features were then selected by correlation coefficients and random forest classifier five-fold cross-validation, based on which the lesion pair relation estimation (PRE) model was developed. A major voting strategy was used to decide diagnosis for cases with multiple pairs of lesions. Cases from another institute were included as the external validation set for the PRE model to compete with two experienced clinicians.
Results
Seven radiomic features were selected for the PRE model construction. With major voting strategy, the mean area under receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity of the training vs. internal validation vs. external validation cohort to distinguish MPLC were 0.983 vs. 0.844 vs. 0.793, 0.942 vs. 0.846 vs. 0.760, 0.905 vs. 0.728 vs. 0.727, and 0.962 vs. 0.910 vs. 0.769, respectively. AUCs of the two clinicians were 0.619 and 0.580.
Conclusions
The CT radiomic feature-based lesion PRE model is potentially an accurate diagnostic tool for the differentiation of MPLC and IPM, which could help with clinical decision making.
Characteristics of Retinal Image in Women with Recurrent Spontaneous Abortion
Authors: Wu Jiaman , Wang Erfeng , Li Jia , Lin Yanting , Ma Fei , Ning Yan , Zhuo Yuanyuan 
Published: November 2022

AbstractPurpose To identify the characteristics of retinal image in women with recurrent spontaneous abortion (RSA). Methods A case-control study was conducted in the Shenzhen Maternity & Child Healthcare Hospital. Eighty women who were diagnosed RSA were recruited. Those women who were age matched with the RSA group and experienced a successful birth history were chosen as the control group. Retinal images were collected and characteristics were analysed. Multivariable logistic model was built to identify the characteristics of retinal image. Results Compared to the control group, the patients with RSA had higher CRAE (P = 0.02), Vasym(P < 0.0001) and Aasym(P = 0.002), larger Aangle(P = 0.035), BCA(P < 0.0001) and more obvious Nicking(P = 0.001) and occlusion(P = 0.001) in the retinal artery, but lower AVR(P = 0.314) in retinal characteristics. The area under the ROC curve of the multivariable logistic regression was 0.8541 (95% C.I. 0.796–0.912). Conclusions Compared to the Normal pregnancy women, those with RSA had special retinal characteristics, which might provide useful information for RSA identification.
PickT: a decision-making tool that supports the optimal pickling process operation
Authors: Crisan Claudia Alice , Timis Elisabeta Cristina , Vermesan Horatiu 
Published: November 2022

Abstract
The knowledge gaps approached in this research are related to the dynamic modelling of the pickling process (the lack predictability and simplicity of the existing models) and to the process operation (its dependence on the initial conditions, such as the immersed surface, the immersed mass, and the corrosion inhibitor concentration). Original contributions regarding the identification of the optimum corrosion inhibitor concentration, the forecast of the corrosion rate and the appropriate timing for the acidic bath change, are offered with the help of a decision-making tool (PickT), developed, and verified with the help of measurements. Experiments consist in steel pickling (during 336h) in hydrochloric acid of industrial making (H2O:HCl, 1:1) with five different volumetric Cetilpyridinium bromide (CPB) as corrosion inhibitor. PickT has reliably and easy forecasted the corrosion rates, facilitating the estimation of the appropriate timing for the acidic bath change (250h) and of the optimum concentration of inhibitor of 12%. Results are in accordance with experimental findings. The tool advantages consist of the straightforward applicability, the low inputs requirements to make reliable forecasts and the accessibility for untrained professionals from the industry. From an industrial point of view, it supports decision to optimize the pickling process efficiency and facilitate cost savings: when to change the pickling solution, which is the optimum corrosion inhibitor addition, how much metal surface can be pickled using the same solution.
Model Reduction of Rotor-Foundation Systems Using the Approximate Invariant Manifold Method
Authors: Mereles Arthur Guilherme , Alves Diogo Stuani , Cavalca Katia Lucchesi 
Published: November 2022

Abstract
This work presents a model reduction method suited for performing nonlinear dynamic analysis of highdimensional rotor-foundation systems modeled by the finite element method. The approach consists in combining the Component Mode Synthesis (CMS) method with the Approximate Invariant Manifold Method (AIMM), and allows the obtention of forced responses through the integration of a single pair of ordinary differential equations. The proposed approach is tested using two examples: a simple and a complex rotor-foundation system. In both cases, the nonlinearity comes from the fluid-film bearings. The results show that the method can provide a significant reduction in numerical cost while still retaining good accuracy when compared with direct time integrations. By means of the proposed method, the nonlinear dynamic analysis of high-dimensional rotor-foundation system becomes a feasible option.
Runoff, sediment, organic carbon, and nutrient loads from a Canadian prairie micro-watershed under climate variability and land management practices
Authors: Liu Yongbo , VanNieuwenhuizen Nigel , Elliott Jane , Shrestha Rajesh , Yerubandi Ram 
Published: November 2022

Abstract

This study conducted a spatio-temporal analysis of runoff, total suspended sediment, suspended particulate carbon, nitrogen, and phosphorus loadings within the 2.06 km2 Steppler subwatershed in southern Manitoba of Canada based on 11 years of field monitoring data collected at nine stations. Results showed that the nutrient losses were very small because of the implementation of multiple BMPs in the study area. However, a high spatio-temporal variation of runoff and water quality parameters was found for the nine fields within the subwatershed. The average runoff coefficient was 0.19 at the subwatershed outlet with sediment, suspended particulate carbon, total nitrogen, and total phosphorus losses of 73.8, 6.10, 4.54, and 0.76 kg/ha respectively. Spring snowmelt runoff was about 74.5% of the annual runoff at the subwatershed outlet, while for sediment, suspended particulate carbon, total nitrogen, and total phosphorus, the proportions were 61.1%, 63.6%, 74.9%, and 81.2% respectively during the monitoring period, which suggests that BMPs designed for reducing nutrient loadings from snowmelt runoff would be more effective than BMPs designed for reducing pollutant loading from rainfall storms in the study area. Research findings from this study will benefit the enhancement of current BMPs and the development of new BMPs in the region to minimize soil and nutrient losses from agricultural fields and improve water quality in receiving water bodies.
"You're stuck in the middle here": A qualitative study of GPs' experiences of managing knee pain attributed to a degenerative meniscal tears
Authors: O'Leary Helen , McCreesh Karen , Robinson Katie , Glynn Liam , Lenehan Brian 
Published: November 2022

Abstract
Background
Exercise is the recommended first-line therapy for a degenerative meniscal tear (DMT). Despite this, knee pain attributed to DMTs is a common presentation to specialist orthopaedic clinics. In the primary care setting, the general practitioner (GP) plays a central role in managing patients with knee pain, but to date their perspective has not been explored in relation to DMTs. This study explored GPs' experiences of managing people with knee pain attributed to a DMT.
Methods
A qualitative research design was adopted and practices in the South and Mid-West of Ireland were contacted via recruitment emails circulated through professional and research networks. Interested GPs contacted the researchers via email, and purposive and snowball sampling was used for recruitment. Semi-structured interviews were conducted online or over the telephone. Interviews were digitally recorded and transcribed. Data was analysed using an inductive approach to thematic analysis. Ethical approval was granted by the Irish College of General Practitioners (ICGP_REC_21_0031).
Results
Seventeen semi-structured one-on-one interviews were conducted. Three main themes were identified with related subthemes: 1) GPs’ experiences of relational aspects of care, 2) GP beliefs about what constitutes best care for patients with a DMT, and 3) how GP practice is enacted within the current healthcare setting. GPs described the challenge of maintaining a strong clinical alliance, while managing perceived patient expectations of a ‘quick fix’ and advanced imaging. They reported slowing down clinical decisions and feeling ‘stuck’ with limited options when conservative treatment had failed. GPs believed that exercise should be the core treatment for DMTs and emphasised engaging patients in an active approach to recovery. Some GPs believed arthroscopy had a role in circumstances where patients didn’t improve with physiotherapy. Limited access to public physiotherapy and orthopaedic services hampered GPs’ management plans and negatively impacted patient outcomes.
Conclusions
GP beliefs around what constitutes best care for a DMT generally aligned with the evidence base. Nonetheless, there was sometimes tension between these beliefs and the patient’s own treatment expectations. The ability to enact their beliefs was hampered by limited access to conservative management options, sometimes leading to early escalation of care.
Handling Error Traps in Difficult Airway Management in Paediatric Patients With Mandible Tumour: Lessons Learned From Two Cases
Authors: Zahrah Raihanita , Untari Arie , Pramodana Bintang , Ramlan Andi Ade Wijaya , Kwa Melvin Dikwan Bernaldi 
Published: November 2022

Abstract
Introduction

Various factors can cause difficult airways in the paediatric population, such as congenital anomalies, obstruction, tumours, etc. Failure in managing difficult airways in children is associated with significant morbidity and mortality. We present a case series of how identifying error traps will improve patient care and safety.

Case

We present two similar cases of children with impending airway obstruction due to mandible tumours who were indicated for an urgent tracheostomy. In the first case, there was an airway management failure (cannot intubate, cannot oxygenate). The patient deteriorated rapidly and died in the operating theatre. Aftermath, we conducted a multidisciplinary discussion of experts and analysed this sentinel case. In the first case, there were some error traps related to preparation, performance, and proficiency. Thus, recommendations were advised. The second case occurred 14 days following the first one. This time we delivered the airway management by implementing the recommendation from previous case failures, which were: choosing the appropriate anaesthesia technique and airway device, performing adequate passive oxygenation before an intubation attempt, having a mitigation plan, and communicating it with the surgeon. Also, an airway expert should always be available to be consulted. Lastly, conducting a debriefing with the team involved after the procedure to identify the experienced problems. The team managed to perform the tracheostomy on the second child successfully.

Conclusion

Mortality and morbidity due to airway management failure in paediatric patients with difficult airways could be reduced by averting error traps and following the recommendation to have better preparation in airway management techniques and planning, good inter-team communication and coordination, and consult a more experienced anaesthesiologist to lead the team.
Mathematical Modeling of the Aerodynamic Coefficients of a Sail Blade
Authors: Tleubergenova Akmaral Zharylgasynovna , Tanasheva Nazgul Kadyralievna , Shaimerdenova Kuljan Meiramovna , Kasymov Serik Sagimbekovich , Shuyushbayeva Nurgul Naizabekovna , Uzbergenova Saule Zheksebeevna , Ranova Gulden Amanbayevna 
Published: November 2022

Abstract
For more than a hundred years, wind turbines have been used to convert the potential of wind energy into electricity. In recent years, a trend has emerged in the form of a sharp increase in fossil fuel prices, as a result of which the development and production of wind turbines has greatly increased. The market for wind turbines is broad; however, in general, many of them are designed for relatively high wind speeds, typically from 10 to 15 m/s at low power. Central Asia is known for lower wind speeds, so the commercial wind turbines do not meet the energy demand. Against this background, the current topic is the development and research of wind turbines and their functional elements for low wind speeds, among whose representatives is the sail. The authors of the paper numerically studied the aerodynamic coefficients of the sail blade, determining the patterns of three-dimensional air flow around it and the pressure distribution field. The sail blade was modeled using the computer program ANSYS FLUENT based on the Reynolds-averaged (RANS) Navier-Stokes equations. The inflow velocity varied from 3 to 15 m/s. Comparative analyzes of the theoretical and experimental results are given. The patterns of changes in aerodynamic parameters determined by the authors could contribute to the understanding of the complex aerodynamic patterns of a turbulent flow around the blades.
The natural product erianin induces melanoma apoptosis through targeting the GSK3α-NF-κB pathway
Authors: Lu Linna , Zuo Sipeng , Li Lin , Li Rui , Ye Fuxiang 
Published: November 2022

Abstract
Erianin has been reported to play key roles in suppressing a wide variety of tumors. However, the anti-carcinogenic mechanism underlying erianin remains to be fully elucidated. The half-maximal inhibitory concentration (IC50) was assessed to determine the influence of erianin on melanoma in vitro. In vivo, tumor-bearing models in nude mice were established to investigate the impact of erianin on the growth of melanoma cells. Transcriptome screening was performed to identify meaningful targets. Molecular docking and Western blotting were performed to verify the GSK3α-NF-κB cascade reaction. Herein, we report the finding that erianin is an efficient inhibitor of melanoma. Erianin selectively suppressed the growth of melanoma cells but not normal human melanocytes. Specifically, erianin downregulated the cellular GSK3α-NF-κB pathway to induce melanoma cell apoptosis. Collectively, we initially demonstrated that erianin effectively inhibited melanoma, which was caused by inactivation of GSK3α-NF-κB signaling inducing melanoma cell apoptosis. Thus, the study implies that erianin provides a novel therapeutic strategy for melanoma therapy.
Fine structure of a partition in the spike glycoprotein encoded in the SARS-CoV-2 genome
Authors: Morimoto Susumu 
Published: November 2022

Abstract
The gene encoding the spike glycoprotein of the SARS-CoV-2 virus that causes COVID-19 disease, was analyzed through two types of periodic tables (standard and cube) of the genetic code to discover the internal fine structure of the spike (S) protein. The analysis was performed on the Wuhan-Hu-1 SARS-CoV-2 sequence (GenBank accession number NC_045512.2). A partition was detected between codon numbers (three-letter code numbers) 47 and 48 that code amino acids in the S-protein. The population distribution of organized codes and amino acid replacements in the S-protein showed large differences between two regions of the cube-type periodic table. The genetic codes of codon numbers 48–63 (4th plane of the cube table) had a higher frequency than the genetic codes of each of the other three planes (1st–3rd planes). Planes-linkage structures involved in the partition were also analyzed and a simplified model for the S-protein gene was obtained where a planes-linkage of the 4th plane and another planes-linkage of the 1st–3rd planes were linked together in alternate shifts. Most of the code population in the 4th plane and their planes-linkage multiformity gave additional support to the partition between codon numbers 47 and 48 in the S-protein gene. Analysis of real lineages of the SARS-CoV-2 virus through the cube-type periodic table identified distinguishing features of the Omicron lineage that included not only a large code population within the receptor-binding domain of the S-protein, but also large percentage rises in the population of amino acid replacements in the 1st and 2nd planes.