bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physico-chemical characterization and biosafety evaluation of atorvastatin nanocapsules co-encapsulated with ginger oil or grape seed oil
Authors: Viçozzi Gabriel Pedroso , Neto Luiz Torres , Pereira Flávia Suelen De Oliveira , Flesch Ingrid Mullich , Peruzzi Caroline Portela , de Ávila Daiana Silva , Garcia Solange Cristina , Colomé Letícia Marques , Bender Eduardo André 
Published: June 2023

Abstract
Cardiovascular diseases are one of the major causes of deaths around the world. The leading cause is related to high cholesterol levels, therefore, controlling these levels has been a successful strategy. Among the drugs used for this purpose, atorvastatin (ATV) has great efficacy, however some side effects reduce patient adhesion. In this context, the development of ATV polymeric nanocapsules co-encapsulated with ginger (NCAtG) or grape seed (NCAtU) oil can reduce ATV toxicity and increase its efficacy. The objectives of this work were to evaluate the safety and efficacy of this nanoformulations in different experimental models. The formulations had nanometric sizes and suitable physio chemical parameters. The biosafety was evaluated in terms of hemoglobin measurement, liberation of erythrocyte LDH and blood coagulation cascade by the extrinsic (PTT) and intrinsic (aPTT) pathways after exposed to the nanoformulations, were just high concentrations caused alterations in these parameters. Also, there is no cytotoxicity in the 3T3 cell lines and no alterations in the comet assay. The in vivo assays in C. elegans showed no alterations, in the survival, brood size and length. And finally, the formulations demonstrated significative effect about the reduction of the lipidic levels of the nematodes, with high lipid levels.
Laminar Distribution of Cannabinoid Receptor 1 in the Prefrontal Cortex of Nonhuman Primates
Authors: Han Yingying , Dong Qianyu , Peng Jiyun , Li Baoming , sun chong , Ma Chaolin 
Published: June 2023

Abstract
Cannabis is an annual herb of the genus Cannabis, with a history of medical use going back thousands of years. However, its abuse causes many side-effects, including confusion of consciousness, alienation, and mental disorders such as schizophrenia and depression. Research conducted on rodents suggests that there are two types of cannabinoid receptors - cannabinoid receptor 1 (CB1R) and cannabinoid receptor 2 (CB2R). CB1R is found mostly in the central nervous system, particularly in the prefrontal cortex (PFC), and alterations in its expression in the PFC have been strongly linked to mental disorders. Within the layers of the PFC, Brodmann area 46 is associated with the processing of complex cognitive information. However, it remains unclear whether CB1R is expressed in the PFC 46 area of non-human primate. In this work, we applied western blotting along with immunofluorescent histochemical staining to investigate the distribution pattern of CB1R in the PFC of nonhuman primate, Our findings reveal that CB1R is highly expressed in the monkey PFC, especially in area 46. Furthermore, CB1R exhibits a layered distribution pattern within area 46 of the PFC, with the inner granular layer displaying the highest expression levels. Additionally, CB1R+PV+ cells are widely distributed in lay Ⅱ-Ⅵ of area 46, with layer IV showing notable prevalence. In conclusion, CB1R is distributed in the PV interneurons in area 46 of the prefrontal cortex, particularly in layer Ⅳ, suggesting that cannabis may modulate PFC activities via regulating interneuron in the PFC. And cannabis-induced side effects may be caused by abnormal expression of CB1R.
Implementation of inclusion and exclusion criteria of clinical studies in the software OHDSI ATLAS
Authors: Blasini Romina , Buchowicz Kornelia Marta , Schneider Henning , Samans Birgit , Sohrabi Keywan 
Published: June 2023

Abstract
Background Clinical trials are an essential part of the medical research process, but trials are often canceled due to lack of enrollment. Clinical trial recruitment support systems can help increase the number of participants by finding more suitable subjects. The ATLAS software (developed by OHDSI) can support the initiation of a clinical trial by building cohorts of patients who meet certain eligibility criteria. The correct use of medical classification systems for clearly defined inclusion and exclusion criteria in studies is an important pillar of this software.Objectives The purpose of this study is to determine whether ATLAS can be used in a Clinical Trial Recruitment Support System to represent the eligibility criteria of clinical trials. Therefore, we have considered the set of criteria implemented in ATLAS and realistically identified the strengths and problems of the software.Methods We analyzed ATLAS using 223 eligibility criteria from 30 randomly selected studies from the past 10 years. Therefore, appropriate ICD, OPS, LOINC, or ATC codes were selected during the data collection process to feed the software. Each criterion and study was ranked for feasibility of implementation in the software.Results According to the observations, 49.33% of the analyzed inclusion criteria are fully implemented in ATLAS. In our selected sample set, 10% of the studies are classified as fully portrayable and 73.33% as portrayable. In addition, the software is evaluated with respect to its usability and its interaction with medical classification systems.Conclusions To improve and extend the coverage of criteria in cohort definition in a real-world setting, we recommend working closely with the individuals involved in the study to precisely define the criteria and carefully select terminology systems. The selected criteria will be combined according to the individual setting. Further work is needed to specify the relevance and quantity of the extracted criteria.
Uncovering the complex relationship between plant diversity, soil properties, and mycorrhizal inoculum potential in threatened miombo woodlands
Authors: Kaumbu Jean-Marc Kyalamakasa , Sene Godar , Stefani Franck , Khasa Damase P. 
Published: June 2023

Abstract

Aboveground biodiversity and physicochemical properties influence soil microbial communities. Arbuscular mycorrhizal fungi (AMF) are key members of these microbial communities and play a key role in regulating ecosystem processes. However, the mutual interdependence of plants and AMF in threatened forests is poorly understood. In this study, we investigated the relationship between plant ecological indicators and soil mycorrhizal inoculum potential (MIP) in the Miombo forest fallow of Haut-Katanga, DRC, and identified plant species that positively influence soil MIP. We conducted a floristic inventory on 32 plots and collected soil cores for physicochemical and AMF characterization. An AMF bioassay using Crotalaria juncea seedlings was performed to determine the soil MIP. We also tested the AMF colonization status of randomly collected living roots of mature woody and dominant herbaceous species to identify explanatory variables for MIP. Our results showed that MIP was higher in silty clay soils (63.13%) than in clay soils (30%) (F = 57.07; p < 0.0001). Furthermore, MIP increased accordingly with the relative abundance of a group of woody and herbaceous species (e.g. Albizia adianthifolia, Baphia bequaertii and Setaria pumila) and decreased with others (e.g. Combretum collinum, Harungana madagascariensis and Hyparrhenia diplandra). Linear regressions showed that MIP increased significantly with the specific richness of woody species identified as indicators and with the amount of annual herbs. Woody legumes with high root colonization by AMF appeared to be refuge plants, and primary AMF dispersal vectors, increasing soil MIP. This study provides baseline data that can be used to formulate ecological restoration strategies, including soil and vegetation protection.
MicSim, a microsimulation model for population dynamics
Authors: Bosco Claudio , Zinn Sabine , Ghio Daniela , Teobaldelli Maurizio , Iacus Stefano Maria 
Published: June 2023

Abstract
Demographers use microsimulation for studying individual life courses and their attributes; events are specified to be the result of stochastic processes based on predetermined probabilistic rules. In this study, we developed and validated a microsimulation model to reconstruct individual’s life courses and their interactions in different regions of the European Union. One of the main objectives of this study was to track migrants’ pathways in the context of three population systems, namely Sweden, the Netherlands and Spain, from 2014 to 2018. We used official datasets as data inputs to analyze and project future population dynamics. A revised version of the MicSim package which is part of the statistical software R has been used to model mobility and migration patterns at large scale. For this purpose, among other things new functions were added to make the software more efficient concerning runtimes and data handling. By analyzing the modelling results we conclude that MicSim has the potential to be applied for modelling migration and also more general population movements at a large scale. The application of the MicSim package would provide policy makers with a valid instrument for the governance of migration accounting for the demographic and social patterns of migrants and their origin-destination contextual environments.
Selective Dorsal Rhizotomy: Analysis of two rootlet sectioning techniques
Authors: Mantese Beatriz , Chiusa Christian G. Pirozzi , Márquez Yamila Basilotta , Campo María Pía Gotter , Nazar Ricardo , Crespo Marcos , Toledo Alfredo , Ravera Emiliano 
Published: June 2023

Abstract
Objective
To analyze and compare the efficacy of two selective dorsal rhizotomy (SDR) techniques with intraoperative neurophysiological monitoring, using instrumented three-dimensional gait analysis.
Introduction:
SDR is a common, irreversible surgical treatment increasingly used to address gait disturbances in children with chronic non-progressive encephalopathy by reducing spasticity. Various techniques have been used, which mainly differ in the percentage of rootlets selected to be sectioned. A greater proportion of rootlets sectioned leads to a better reduction of spasticity; however, there is a potential risk of unwanted neurological effects of excessive deafferentation. While there is evidence of the short- and long-term benefits and complications of SDR, no studies have compared the effectiveness of each technique regarding gait function and preservation of the force-generating capacity of the muscles.
Materials and methods
Instrumented three-dimensional gait analysis was used to evaluate two groups of patients with spastic cerebral palsy treated by the same neurosurgeon in different time periods, initially using a classic technique (cutting 50% of the nerve rootlets) and subsequently a conservative technique (cutting no more than 33% the nerve rootlets).
Results
In addition to an increase in knee joint range of motion (ROM), in children who underwent SDR with the conservative technique a statistically significant increase (p = 0.04) in the net joint power developed by the ankle was observed. Patients who underwent SDR with the conservative technique developed a maximum net ankle power of 1.37 ± 0.61 [unit: W/BW], whereas those who were operated with the classic technique developed a maximum net joint power of the ankle of 0.98 ± 0.18 [unit: W/BW].
Conclusion
Our results show that both techniques led to a reduction in spasticity with a positive impact on the gait pattern. In addition, patients treated with the conservative technique were able to develop greater net ankle joint power, leading to a better scenario for rehabilitation and subsequent gait.
A fast and accurate brain extraction method for CT head images
Authors: Hu Dingyuan , Liang Hongbin , Qu ShiYa , Han Chunyu , Jiang Yuhang 
Published: June 2023

Abstract
Background
Brain extraction is an essential prerequisite for the automated diagnosis of intracranial lesions and determines, to a certain extent, the accuracy of subsequent lesion recognition, location, and segmentation. Segmentation using a fully convolutional neural network (FCN) yields high accuracy but a relatively slow extraction speed.
Methods
To address the above issues, this paper proposes an integrated algorithm, FABEM. This method first uses threshold segmentation, closed operation, and image filling to generate a specific mask and then detects the number of connected regions of the mask. If the number of connected regions equals 1, the extraction is done by directly multiplying with the original image. Otherwise, the original image is classified by using a convolutional neural network. The mask is further segmented using the region growth method for the original image with a single-region brain distribution. Otherwise, the mask is adjusted using Deeplabv3+, and then the extraction is completed by multiplying the mask with the original image.
Results
The algorithm and 5 FCN models were tested on 22 datasets containing different lesions, and the algorithm's performance showed MPA = 0.9958, MIoU = 0.9916, and MBF = 0.9957, comparable to the Deeplabv3+. Still, its extraction speed is much faster than the Deeplabv3+. It can complete the brain extraction of a head CT image in about 0.49 seconds, about 3.5 times that of the Deeplabv3+.
Conclusion
Thus, this method can achieve accurate brain extraction from head CT images faster, creating a good basis for subsequent brain volume measurement and feature extraction of intracranial lesions.
Delineation of LNAPL Plumes in a Clay-Rich Site in Gyeongsangnam-do Province, South Korea, using Geophysical Surveys and Combined Interpretation with Borehole and Soil Sampling Data
Authors: Kim Bitnarae , Jeong Inseok , Yu Huieun , Jeong Juyeon , Song Seo Young , Son Jeong-sul , Yu Youngchul , Shin Jehyun , Jo Ho Young , Kwon Man Jae , Nam Myung Jin 
Published: June 2023

Abstract
To effectively delineate the spatial distribution of oil contaminant plumes, geophysical methods indirectly measure the physical properties of the subsurface and can provide spatial information and images on a large scale, as opposed to traditional direct methods such as borehole drilling, sampling, and chemical analysis, which are time-consuming and costly. However, delineating geophysical responses from non-aqueous phase liquids (NAPLs) contaminated sites is not straightforward due to inconsistent responses from biodegraded oil contaminants. Additionally, the presence of clay materials can complicate the interpretation of geophysical data in NAPL-contaminated sites. In this study, we present a case study of a multi-geophysical investigation, including seismic refraction, ground-penetrating radar (GPR), electrical resistivity tomography (ERT), and complex resistivity (CR), to delineate NAPL contamination in a clay-rich site. To reduce ambiguity in discriminating between oil contaminants and clay layers, we suggest constructing a 3D geological model that incorporates borehole data and geophysical data. Based on the 3D geological model, conductive zones generally correspond to high concentrations of hydrocarbons in the unsaturated zone, but it is difficult to distinguish contaminated areas from saturated soil. The IP response rapidly decreased to close to zero in several expected highly contaminated zones, which differs from the clay soil with high IP values. Finally, we compare the expected contaminated area from geophysical data and soil sampling data and discuss how geophysical interpretation can be improved in NAPL-contaminated sites.
Effect of the COVID-19 pandemic on Advanced Life Support units' prehospital management of the Stroke Code in four Spanish regions: an observational study
Authors: Riera-Lopez Nicolas , Aguilar Francisco Aranda , Gorchs-Molist Montse , Vazquez Jose Antonio Iglesias 
Published: June 2023

Abstract
Introduction
Stroke is the most common time-dependent pathology that pre-hospital emergency medical services (EMS) are confronted with. Prioritisation of ambulance dispatch, initial actions and early pre-notification have a major impact on mortality and disability. The COVID-19 pandemic has led to disruptions in the operation of EMS due to the implementation of self-protection measures and increased demand for care. It is crucial to evaluate what has happened to draw the necessary conclusions and propose changes to improve the system's strength for the future. The study aims to compare prehospital time and neuroprotective care metrics for acute stroke patients during the first wave of COVID-19 and the same periods in the years before and after.
Methods
Analytical, observational, multicentre study conducted in the autonomous communities of Andalusia, Catalonia, Galicia, and Madrid in the pre-COVID-19 (2019), "first wave" of COVID-19 (2020) and post-COVID-19 (2021) periods. Consecutive non-randomized sampling. Descriptive statistical analysis and hypothesis testing to compare the three time periods, with two by two post-hoc comparisons, and multivariate analysis.
Results
A total of 1,709 patients were analysed. During 2020 there was a significant increase in attendance time of 1.8 minutes compared to 2019, which was not recovered in 2021. The time of symptom onset was recorded in 82.8% of cases, and 83.3% of patients were referred to specialized stroke centres. Neuroprotective measures (airway, blood glucose, temperature, and blood pressure) were performed in 43.6% of patients.
Conclusion
During the first wave of COVID-19, the on-scene times of pre-hospital emergency teams increased while keeping the same levels of neuroprotection measures as in the previous and subsequent years. It shows the resilience of EMS under challenging circumstances such as those experienced during the pandemic.
Design and Implementation of Integrated-Based Model (I-BM) Framework in Software Testing
Authors: Zulkifli Zulkifli , Gaol Ford Lumban , Trisetyarso Agung , Budiharto Widodo 
Published: June 2023

Abstract
In software development, the software testing phase is an important process, one of which is the determination of the classification of fault output classes. This paper presents the results of the design and implementation of the integration-based model (I-BM) framework as a software testing framework. The integration-based model (I-BM) framework has the ability to systematically classify software fault output classes in the form of datasets. The research method itself is experimental. This integration-based model (I-BM) framework will document the tested software's fault output based on variables such as function, interface, structure, performance, requirement, documentation, positive, and negative. This I-BM Framework can also be used by software companies' testing divisions. In the final stage of the I-BM framework, the accuracy level of the Fault Output is measured by comparing the fault output of Neural Network Algorithm, SVM, and I-BM to the Actual Expected Fault Output. The average accuracy levels are 0.86, 0.81, 0.85, and 0.85.
Endovascular repair with a physician-modified fenestrated endograft under 3D image fusion guidance to treat abdominal aortic pseudoaneurysm with Behcet’s disease: a case report
Authors: Lian Wenzhuo , Song Xitao , Cui Liqiang , Zheng Yuehong , Liu Changwei , Ni Leng 
Published: June 2023

Abstract
Background
Aortic involvement in patients with Behcet’s disease (BD) is rare, but it is one of the most severe manifestations. Open surgical repair of aortic aneurysm is challenging considering the high risk of postoperative recurrent anastomotic pseudoaneurysms and is associated with a much higher mortality rate. Recently, endovascular treatment has provento be a feasible, less invasive alternative to surgery for these patients.
Case presentation
We report a total endovascular repair of a paravisceral abdominal aortic pseudoaneurysm in a 25-year-old male patient with BD. The pseudoaneurysm was successfully excluded, and the blood supply of visceral arteries was preserved with a physician-modified three-fenestration endograft under 3D image fusion guidance. Immunosuppressive therapy was continued for 1 year postoperatively. At 18 months, the patient was asymptomatic without abdominal pain. Computed tomography angiography demonstrated the absence of pseudoaneurysm recurrence, the antegrade perfusion of visceral vessels, and the absence of stent graft fractures.
Conclusions
Endovascular repair using physician-modified fenestrated endografts is a relatively safe and effective approach for treating paravisceral abdominal aortic pseudoaneurysm in BD patients. Long-term immunosuppressive therapy is necessary to decrease the risk of postoperative complications and recurrences.
Electrospun biotin- and streptavidin-coated quartz crystal microbalance surfaces: characterization and mass sensing performance using OpenQCM
Authors: Ermek Erhan , Ayan Esra , Tokay Nurettin , DeMirci Hasan , Kepceoğlu Abdullah 
Published: June 2023

Abstract

In this study, a quartz crystal microbalance (QCM) sensor surface was coated with biotin and/or streptavidin using the electrospinning method. The coated surfaces were analyzed using the Raman spectroscopy method. QCM measurements were carried out using the OpenQCM platform. The results indicate that the electrospinning method can be used to coat QCM surfaces with biotin and/or streptavidin and that the coated surfaces exhibit distinct morphological and spectroscopic properties. The QCM measurements showed that the coated surfaces are highly sensitive to changes in mass, indicating their potential for use in biosensing applications. Overall, this study provides new insights into the use of QCM sensors coated with biotin and/or streptavidin for biological sensing and detection applications.
EyeSea: Intelligent 3D offshore field reconstruction for decommissioning operations
Authors: Rocha Pedro , Almeida Catarina , Costa Pedro 
Published: June 2023

Abstract
The Research and Development project “EyeSea - Intelligent 3D offshore field reconstruction for decommissioning operations” aims to bring new scientific knowledge to enable the production and development of new disruptive products related to 3D virtual underwater reconstruction. The proposal case study will be applied to the offshore Oil&Gas industry and has the potential to be scaled-up to other industries, such as offshore renewables and underwater minerals exploitation industries.
The project will enable Ocean Infinity to explore new markets as well as to strengthen its positioning in the Oil&Gas industry through the development of a solution capable of assisting in an imminent challenge for this industry: decommissioning of offshore fields efficiently, safely, and precisely, reducing the risk of environmental negative impacts. To obtain these results we used, from AI techniques, to obtain information from the overlay of the image, to computer vision techniques in 3D, to place the structure in position in the world. With this article we prove that we were able to position the structure in the world through videos and its CAD with an error not exceeding 0.1795 mean distance.