bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of endothelial colony forming cells delivery routes in a murine model of critical limb threatening ischemia using an optimized cell tracking approach
Authors: Rojas-Torres Marta , Sánchez-Gomar Ismael , Rosal-Vela Antonio , Beltrán-Camacho Lucía , Eslava-Alcón Sara , Alonso-Piñeiro José Ángel , Martín-Ramírez Javier , Moreno-Luna Rafael , Durán-Ruiz Mª Carmen 
Published: June 2022

Abstract
Background
Endothelial colony forming cells (ECFCs), alone or in combination with mesenchymal stem cells, have been selected as potential therapeutic candidates for critical limb-threatening ischemia (CLTI), mainly for those patients considered as “no-option,” due to their capability to enhance revascularization and perfusion recovery of ischemic tissues. Nevertheless, prior to translating cell therapy to the clinic, biodistribution assays are required by regulatory guidelines to ensure biosafety as well as to discard undesired systemic translocations. Different approaches, from imaging technologies to qPCR-based methods, are currently applied.

Methods
In the current study, we have optimized a cell-tracking assay based on DiR fluorescent cell labeling and near-infrared detection for in vivo and ex vivo assays. Briefly, an improved protocol for DiR staining was set up, by incubation of ECFCs with 6.67 µM DiR and intensive washing steps prior cell administration. The minimal signal detected for the residual DiR, remaining after these washes, was considered as a baseline signal to estimate cell amounts correlated to the DiR intensity values registered in vivo. Besides, several assays were also performed to determine any potential effect of DiR over ECFCs functionality. Furthermore, the optimized protocol was applied in combination with qPCR amplification of specific human Alu sequences to assess the final distribution of ECFCs after intramuscular or intravenous administration to a murine model of CLTI.

Results
The optimized DiR labeling protocol indicated that ECFCs administered intramuscularly remained mainly within the hind limb muscle while cells injected intravenously were found in the spleen, liver and lungs.

Conclusion
Overall, the combination of DiR labeling and qPCR analysis in biodistribution assays constitutes a highly sensitive approach to systemically track cells in vivo. Thereby, human ECFCs administered intramuscularly to CLTI mice remained locally within the ischemic tissues, while intravenously injected cells were found in several organs. Our data corroborate the need to perform biodistribution assays in order to define specific parameters such as the optimal delivery route for ECFCs before their application into the clinic.
Modelling the significance of strategic orientation for competitive advantage and economic sustainability: the use of hybrid SEM–neural network analysis
Authors: Yang Marvello , Jaafar Norizan , Al Mamun Abdullah , Salameh Anas A. , Nawi Noorshella Che 
Published: June 2022

AbstractEconomic sustainability involves the development of an organisation that meets its future needs through an integrated policy, planning, and social learning process. The purpose of this study was to investigate the mediating role of competitive advantage in the relationship between strategic orientation and economic sustainability under unpredictable circumstances. This study collected quantitative data from a total of 284 halal small and medium enterprises (SMEs) from Indonesia through structured interviews. Data were analysed using partial least squares structural equation modelling (PLS-SEM). Moreover, this study adopted artificial neural network (ANN) analysis for a model-free estimation using non-linear, multilayer, and parallel regression. The results revealed statistically significant and positive effect of strategic orientation on economic sustainability. Additionally, this study found that competitive advantage expanded the effect of strategic orientation on economic sustainability. Findings of ANN analysis confirm high prediction accuracy of the model. Findings of the sensitivity analysis highlighted the importance of innovation, network and technological orientation, and the positive effect of competitive advantage on halal SMEs economic sustainability. In order to achieve long-term economic sustainability, halal SMEs should therefore focus on innovation capacity, vertical and horizontal networking and adoption of the latest technologies. The uniqueness of this study focused on the strategic orientation and value of competitive advantage of halal SMEs towards economic sustainability. Additionally, this study was the first to develop hybrid SEM–neural network analysis to apply sensitivity analysis for the evaluation of the contribution of each exogenous predictor towards the endogenous construct.
Compartmental structures used in modeling COVID-19: a scoping review
Authors: Kong Lingcai , Duan Mengwei , Shi Jin , Hong Jie , Chang Zhaorui , Zhang Zhijie 
Published: June 2022

Abstract
Background
The coronavirus disease 2019 (COVID-19) epidemic, considered as the worst global public health event in nearly a century, has severely affected more than 200 countries and regions around the world. To effectively prevent and control the epidemic, researchers have widely employed dynamic models to predict and simulate the epidemic’s development, understand the spread rule, evaluate the effects of intervention measures, inform vaccination strategies, and assist in the formulation of prevention and control measures. In this review, we aimed to sort out the compartmental structures used in COVID-19 dynamic models and provide reference for the dynamic modeling for COVID-19 and other infectious diseases in the future.

Main text
A scoping review on the compartmental structures used in modeling COVID-19 was conducted. In this scoping review, 241 research articles published before May 14, 2021 were analyzed to better understand the model types and compartmental structures used in modeling COVID-19. Three types of dynamics models were analyzed: compartment models expanded based on susceptible-exposed-infected-recovered (SEIR) model, meta-population models, and agent-based models. The expanded compartments based on SEIR model are mainly according to the COVID-19 transmission characteristics, public health interventions, and age structure. The meta-population models and the agent-based models, as a trade-off for more complex model structures, basic susceptible-exposed-infected-recovered or simply expanded compartmental structures were generally adopted.

Conclusion
There has been a great deal of models to understand the spread of COVID-19, and to help prevention and control strategies. Researchers build compartments according to actual situation, research objectives and complexity of models used. As the COVID-19 epidemic remains uncertain and poses a major challenge to humans, researchers still need dynamic models as the main tool to predict dynamics, evaluate intervention effects, and provide scientific evidence for the development of prevention and control strategies. The compartmental structures reviewed in this study provide guidance for future modeling for COVID-19, and also offer recommendations for the dynamic modeling of other infectious diseases.

Graphical Abstract
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One-way coupled fluid–beam interaction: capturing the effect of embedded slender bodies on global fluid flow and vice versa
Authors: Hagmeyer Nora , Mayr Matthias , Steinbrecher Ivo , Popp Alexander 
Published: June 2022

AbstractThis work addresses research questions arising from the application of geometrically exact beam theory in the context of fluid-structure interaction (FSI). Geometrically exact beam theory has proven to be a computationally efficient way to model the behavior of slender structures while leading to rather well-posed problem descriptions. In particular, we propose a mixed-dimensional embedded finite element approach for the coupling of one-dimensional geometrically exact beam equations to a three-dimensional background fluid mesh, referred to as fluid–beam interaction (FBI) in analogy to the well-established notion of FSI. Here, the fluid is described by the incompressible isothermal Navier–Stokes equations for Newtonian fluids. In particular, we present algorithmic aspects regarding the solution of the resulting one-way coupling schemes and, through selected numerical examples, analyze their spatial convergence behavior as well as their suitability not only as stand-alone methods but also for an extension to a full two-way coupling scheme.
Traffic flow prediction based on depthwise separable convolution fusion network
Authors: Yu Yue , Sun Wei , Liu Jianhua , Zhang Changfan 
Published: June 2022

AbstractTraffic flow prediction is an important part of an intelligent transportation system to alleviate congestion. In practice, most small and medium-sized activities are not given priority in transport planning, yet these activities often bring about a surge in demand for public transport. It is recognized that such patterns are inevitably more difficult to predict than those associated with day-to-day mobility, and that forecasting models built using traffic data alone are not comprehensive enough. Aiming at this problem, a depthwise separable convolutional fusion forecast network (FFN) was proposed by focusing on the impact of event information on traffic flow demand. FFN fused heterogeneous data to model traffic data, weather information, and event information extracted from the Internet. The depthwise separable one-dimensional convolution was used to encode the textual information describing the event layer by layer, and local one-dimensional sequence segments (ie subsequences) were extracted from the sequence to retain rich local semantic features. In the modeling process, the interaction of heterogeneous data was established, that is, the temporal and other data were used to drive the textual information representation in the encoding process to capture better relevant textual representations. Finally, information from different sources and formats was fused to obtain a joint feature representation tensor that predicts the traffic demand in the next day's event area. The experimental results show that the average absolute error of the fusion prediction network is reduced by 26.5%, the root mean square error is reduced by 11.6%, and the judgment coefficient is increased by 26.4% compared with the prediction network that only considers the traffic data.
Calculated left ventricular outflow tract diameter for critically ill patients
Authors: Cox Eline G. M. , Koeze Jacqueline , van der Horst Iwan C. C. , Wiersema Renske 
Published: June 2022

AbstractA fast and reliable left ventricular outflow diameter (LVOTd) estimation may aid in quickly estimating cardiac output. However, obtaining a correct LVOTd can be difficult in intensive care patients, potentially leading to errors and a cardiac output deviation. In this study, the measured LVOTd was compared with the expected LVOTd when estimated using an existing formula in 1177 critically ill patients. We show that estimated LVOTd based on baseline data can aid when obtaining LVOTd is difficult or impossible and simplified estimation based on a formula may allow for more reliable and accessible measurement of cardiac output.
The Effect of Sodium Alginate and Pectin Added to a Carbohydrate Beverage on Endurance Performance, Substrate Oxidation and Blood Glucose Concentration: A Systematic Review and Meta-analysis
Authors: Sutehall Shaun , Muniz-Pardos Borja , Bosch Andrew , Pitsiladis Yannis 
Published: June 2022

Abstract
Introduction
Scientific and public interest in the potential ergogenic effects of sodium alginate added to a carbohydrate (CHO) beverage has increased in the last ~ 5 years. Despite an extensive use of this technology by elite athletes and recent research into the potential effects, there has been no meta-analysis to objectively elucidate the effects of adding sodium alginate to a CHO beverage on parameters relevant to exercise performance and to highlight gaps in the literature.

Methods
Three literature databases were systematically searched for studies investigating the effects of sodium alginate added to CHO beverage during prolonged, endurance exercise in healthy athletes. For the systematic review, the PROSPERO guidelines were followed, and risk assessment was made using the Cochrane collaboration’s tool for assessing the risk of bias. Additionally, a random-effects meta-analysis model was used to determine the standardised mean difference between a CHO beverage containing sodium alginate and an isocaloric control for performance, whole-body CHO oxidation and blood glucose concentration.

Results
Ten studies were reviewed systematically, of which seven were included within the meta-analysis. For each variable, there was homogeneity between studies for performance (n = 5 studies; I2 = 0%), CHO oxidation (n = 7 studies; I2 = 0%) and blood glucose concentration (n = 7 studies; I2 = 0%). When compared with an isocaloric control, the meta-analysis demonstrated that there is no difference in performance (Z = 0.54, p = 0.59), CHO oxidation (Z = 0.34, p = 0.71) and blood glucose concentration (Z = 0.44, p = 0.66) when ingesting a CHO beverage containing sodium alginate. The systematic review revealed that several of the included studies did not use sufficient exercise intensity to elicit significant gastrointestinal disturbances or demonstrate any ergogenic benefit of CHO ingestion. Risk of bias was generally low across the included studies.

Conclusions
This systematic review and meta-analysis demonstrate that the current literature indicates no benefit of adding sodium alginate to a CHO beverage during exercise. Further research is required, however, before firm conclusions are drawn considering the range of exercise intensities, feeding rates and the apparent lack of benefit of CHO reported in the current literature investigating sodium alginate.
Effect of Metarhizium anisopliae on the nutritional physiology of the fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae)
Authors: Mubeen Noshaba , Khalid Asma , Ullah Muhammad Irfan , Altaf Nimra , Arshad Muhammad , Amin Laiba , Talat Qudsia , Sadaf Abeera , Farwa  
Published: June 2022

Abstract
Background
The fall armyworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae), was recorded for the first time in Pakistan in 2019, and now it has spread in several regions, i.e., Punjab and Sindh, affecting maize production. Farmers are using widely synthetic pesticides to control the pest. Further, the resistance development in insects and the non-target effect of chemicals on the environment and humans pose serious threats of using insecticides. The use of entomopathogenic fungi (EPF) is being considered an important tool in integrated pest management program. The main objective of this study was to check the impact of different conidial concentrations of Metarhizium anisopliae fungus on the nutritional physiology of S. frugiperda.

Results
The dose-dependent effect of tested EPF was observed, and the highest concentration (1 × 109 conidia/ml) considerably affected nutritional parameters. Reduced relative consumption rate (21.7%), relative growth rate (19.5%), the efficiency of conversion of ingested food (24.2%), and approximate digestibility (16.3%) were observed in treated larvae compared to the untreated by using a higher concentration of EPF. Pupal weight was also found lower (77.9 mg and 84.2 mg, respectively), when larvae were treated by 1 × 109 and 1 × 108 conidia/ml concentrations of EPF. Further, 46.7% of larvae were found dead with this conidial concentration.

Conclusions
This study suggests that the application of a higher concentration of M. anisopliae could be an effective option to control S. frugiperda. The EPF can enhance the integrated pest management programs and could be useful in reducing the environmental impact of synthetic insecticides.
Fecal microbiome of horses transitioning between warm-season and cool-season grass pasture within integrated rotational grazing systems
Authors: Weinert-Nelson Jennifer R. , Biddle Amy S. , Williams Carey A. 
Published: June 2022

AbstractBackgroundDiet is a key driver of equine hindgut microbial community structure and composition. The aim of this study was to characterize shifts in the fecal microbiota of grazing horses during transitions between forage types within integrated warm- (WSG) and cool-season grass (CSG) rotational grazing systems (IRS). Eight mares were randomly assigned to two IRS containing mixed cool-season grass and one of two warm-season grasses: bermudagrass [Cynodon dactylon(L.) Pers.] or crabgrass [Digitaria sanguinalis(L.) Scop.]. Fecal samples were collected during transitions from CSG to WSG pasture sections (C–W) and WSG to CSG (W–C) on days 0, 2, 4, and 6 following pasture rotation and compared using 16S rRNA gene sequencing.ResultsRegardless of IRS or transition (C–W vs. W–C), species richness was greater on day 4 and 6 in comparison to day 0 (P < 0.05). Evenness, however, did not differ by day. Weighted UniFrac also did not differ by day, and the most influential factor impacting β-diversity was the individual horse (R2 ≥ 0.24;P = 0.0001). Random forest modeling was unable to accurately predict days within C–W and W–C, but could predict the individual horse based on microbial composition (accuracy: 0.92 ± 0.05). Only three differentially abundant bacterial co-abundance groups (BCG) were identified across days within all C–W and W–C for both IRS (W ≥ 126). The BCG differing by day for all transitions included amplicon sequence variants (ASV) assigned to bacterial groups with known fibrolytic and butyrate-producing functions including members ofLachnospiraceae,Clostridiumsensu stricto1, AnaerovoraxtheNK4A214 groupofOscillospiraceae, andSarcina maxima. In comparison, 38 BCG were identified as differentially abundant by horse (W ≥ 704). The ASV in these groups were most commonly assigned to genera associated with degradation of structural carbohydrates includedRikenellaceae RC9 gut group, Treponema, Christensenellaceae R-7 group, and theNK4A214 groupofOscillospiraceae. Fecal pH also did not differ by day.ConclusionsOverall, these results demonstrated a strong influence of individual horse on the fecal microbial community, particularly on the specific composition of fiber-degraders. The equine fecal microbiota were largely stable across transitions between forages within IRS suggesting that the equine gut microbiota adjusted at the individual level to the subtle dietary changes imposed by these transitions. This adaptive capacity indicates that horses can be managed in IRS without inducing gastrointestinal dysfunction.
Insights from Egyptian ticagrelor study in patients who presented with acute coronary syndrome (ETS in ACS)
Authors: Taha Hesham S. , Kandil Hossam , Farag Nabil , Zaki Amr , Mahrous Hossam , Shaker Mirna M. 
Published: June 2022

Abstract
Background
Dual antiplatelet therapy with aspirin and a thienopyridine is used to prevent thrombotic complications of acute coronary syndrome (ACS) and percutaneous coronary interventions (PCI). Ticagrelor is an oral, reversible inhibitor of the adenosine diphosphate receptor P2Y12 with a faster onset and more potent platelet inhibition than clopidogrel. A study was needed to evaluate the efficacy and safety of generic ticagrelor in Egyptian patients.

Results
This multicenter study included 830 patients aged above 40 years and diagnosed with ACS, with or without ST segment elevation during the preceding 6 months. They received generic ticagrelor (Thrombolinta, Global Napi Pharmaceutical Company, Egypt) (180 mg loading dose, 90 mg twice daily thereafter), added to aspirin 75–100 mg daily. The mean age of our study population was 57.5 (8.3) years and 38.3% were females. Hypertension, diabetes mellitus, dyslipidemia and previous coronary revascularization were present in 70.7%, 59.2%, 80.7% and 31% of the patients, respectively, and 42.5% were current smokers. The qualifying event was unstable angina, non-ST segment elevation myocardial infarction and ST segment elevation myocardial infarction in 54%, 21.8% and 24.2% of the patients, respectively. At 6 months, the primary efficacy end point—a composite of cardiovascular death, myocardial infarction and stroke—occurred in 3.4% of patients, while the secondary efficacy endpoint—a composite of the primary efficacy endpoints with the addition of hospitalization for unstable angina and urgent revascularization—occurred in 15.3%. Cardiovascular death occurred in 1.2% of the patients, myocardial infarction in 0.8%, stroke in 1.3%, hospitalization for UA in 8.1% and urgent revascularization in 3.9%. TIMI major bleeding occurred in 1.2% of patients, intracranial hemorrhage in 0.2% and TIMI minor bleeding in 13.3%. No significant difference was found between patients who underwent PCI at baseline and those who were treated conservatively regarding the primary (14 patients in each group, P = 0.931) and secondary (62 vs. 65 patients, P = 0.946) efficacy endpoints.

Conclusions
In patients who had an ACS during the 6 months preceding enrollment, treatment with generic ticagrelor led to a low rate of cardiovascular death, myocardial infarction and stroke with a minor increase in the risk of major bleeding.
New biomarkers for the diagnosis of pleural effusion
Authors: El-Sokkary Raafat T. , Abuelkassem Nermen M. , Seddik Mohamed Ismail , Metwally Ahmed 
Published: June 2022

Abstract
Background
Persistent undiagnosed effusion is present in approximately 15% of all causes of exudative effusion. Pleural effusion caused by immunoglobulin G4 (IgG4) is a new type of pleural effusion. Tumor markers such as Carcinoembryonic antigen (CEA) may play a role in the diagnosis of malignant pleural effusion. This study aimed to evaluate the use of serum Immunoglobulin G4 and carcinoembryonic antigen in diagnosing pleural effusion.

Methods
This observational descriptive cross-sectional study comprised 89 individuals with exudative pleural effusion who visited the Assiut university hospital's chest department. All patients were examined and asked about their medical history. Also, chest X-ray, MSCT chest, transthoracic ultrasonography, pleural fluid analysis and cytology, serum level of carcinoembryonic antigen, and immunoglobulin G4 were performed. In addition, pleural biopsy, bronchoscopy, and thoracoscopy were performed when required.

Results
In comparison to another diagnosis, the level of serum IgG 4 was observed to be substantially greater in individuals with IgG4-associated effusion (725± 225.45). Patients with malignant mesothelioma (70± 16.24) and metastatic adenocarcinoma (93.52± 19.34) had lower levels of IgG4. In contrast, the serum level of CEA was significantly higher in individuals with malignant mesothelioma (79.50± 29.47) and metastatic adenocarcinoma (68.71± 28.98). Patients with para-pneumonic effusion had a minor serum level of CEA (0.36 ± 0.26). At cutoff point > 152 mg/dl serum IgG-4 had 100% sensitivity and 94% specificity in the diagnosis of IgG4 related pleural effusion with an overall accuracy of 95.3% and area under the curve of 0.97. At the cutoff point > 5 ng/ml serum CEA had 77% sensitivity and 100% specificity in diagnosing malignant pleural effusion with an overall accuracy of 91.1% and area under the curve of 0.88.

Conclusion
Serum IgG4 higher than 152 mg/dl has good diagnostic accuracy in cases of undiagnosed pleural effusion. Carcinoembryonic antigen aids in diagnosing malignant pleural effusion with a cutoff point higher than 5 ng/ml in serum.

Trial registration
ClinicalTrials.gov registration ID NCT03260088