bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real world, open label prospective experience of supplementation with a fixed combination of magnesium, vitamin B2, feverfew, andrographis paniculata and coenzyme Q10 (Vivinor®) for episodic migraine prophylaxis
Authors: Vikelis Michail , Dermitzakis Emmanouil V. , Vlachos Georgios S. , Soldatos Panagiotis , Spingos Konstantinos C. , Litsardopoulos Pantelis , Kararizou Evangelia , Argyriou Andreas A. 
Published: August 2020

Abstract
BackgroundTo investigate efficacy and safety of a supplementation with a fixed combination of magnesium, vitamin B2, feverfew, andrographis paniculata and coenzyme Q10 (Vivinor®) in episodic migraine prevention.MethodsAn observational, prospective, real-world study was conducted. After a one-month baseline period, Vivinor® was introduced in 113 Greek patients with episodic migraine who were prospectively followed-up for three months. The primary endpoint was the change in monthly migraine days between baseline period (BL) and the third month of supplementation (T3). Secondary endpoints included changes in mean intensity of migraine and in days with use of acute migraine medications. Changes in scores of Migraine Disability Assessment questionnaire (MIDAS), Headache Impact Test-6 (HIT-6), Migraine Therapy Assessment questionnaire (MTAQ), MSQ-QOL (Migraine-Specific Quality of life questionnaire), HADS (Hospital Anxiety and Depression Scale) were also evaluated. Those with ≥ 50% reduction in monthly migraine days at T3, compared to BL were considered Vivinor®-responders.ResultsMean number of migraine days was significantly decreased between BL and T3 (9.9 ± 5.0 vs 6.2 ± 4.0; P < 0.001). Likewise, days with peak headache intensity of > 4/10 (8.3 ± 3.8 vs 5.8 ± 4.0; P < 0.001) as well as days using acute headache medications per month (9.8 ± 5.6 vs 7.2 ± 5.4; P < 0.001) were significantly reduced. At final visit, 64 patients (56.6%) were classified as responders. The beneficial effect of Vivinor® supplementation was also associated with significant changes in HIT-6, MIDAS, MTAQ and MSQ-QOL scores between BL and Τ3. There were no safety concerns.ConclusionsVivinor® appears to be an effective and well-tolerated preventive treatment against episodic migraine.Trial registrationNCT04463875, Registered 9 July 2020- Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04463875
Large-eddy Simulation of Wall-bounded Turbulent Flow with High-order Discrete Unified Gas-Kinetic Scheme
Authors: Zhang Rui , Zhong Chengwen , Liu Sha , Zhuo Congshan 
Published: August 2020

Abstract
In this paper, we introduce the incompressible discrete Maxwellian equilibrium distribution function and external forces into the two-stage third-order Discrete Unified Gas-Kinetic Scheme (DUGKS) for simulating low-speed incompressible turbulent flows with forcing term. The Wall-Adapting Local Eddy-viscosity (WALE) and Vreman sub-grid models for Large-Eddy Simulations (LES) of wall-bounded turbulent flows are coupled within the present framework. In order to simulate the three-dimensional turbulent flows associated with great computational cost, a parallel implementation strategy for the present framework is developed, and is validated by three canonical wall-bounded turbulent flows, viz., the fully developed turbulent channel flow at a friction Reynolds number (Re) about 180, the turbulent plane Couette flow at a friction Re number about 93 and three-dimensional lid-driven cubical cavity flow at a Re number of 12000. The turbulence statistics are computed by the present approach with both WALE and Vreman models, and their predictions match precisely with each other. Especially, the predicted flow physics of three-dimensional lid-driven cavity are consistent with the description from abundant literatures. While, they have small discrepancies in comparison to the Direct Numerical Simulation (DNS) due to the relatively low grid resolution. The present numerical results verify that the present two-stage third-order DUGKS-based LES method is capable for simulating inhomogeneous wall-bounded turbulent flows and getting reliable results with relatively coarse grids.
The plant original identification of Inner Mongolia Arnebia Radix based on morphology and DNA barcoding
Authors: Liu Jie , Zhao Chunyan , Guo Linong , Ma Shuangcheng , Zheng Jian , Wang Junli 
Published: August 2020

Abstract
Background: It’s a long history for the use of herbal medicines to derive remedies in Chinese, and the popularity of herbal medicines has risen worldwide. It is necessary to assure the safety, efficacy and quality of herbal medicines by the corrected identification. Inner Mongolia Arnebia Radix is an important and historied used herbal medicine in Inner Mongolia.Methods: The methods of morphological characteristics and DNA barcoding was used to identify the plant origin of Inner Mongolia Arnebia Radix.Results: The identification results of morphological characteristics and DNA barcoding showed that the original plant of Inner Mongolia Arnebia Radix was Arnebia szechenyi, which was distinguished with Arnebia guttata, the official original plant of Inner Mongolia Arnebia Radix.Conclusions: We inferred that that the original plant of Inner Mongolia Arnebia Radix was Arnebia szechenyi.
Joint Modeling of Longitudinal Lipids and Time to Coronary Heart Disease in the Jackson Heart Study
Authors: Kassahun-Yimer Wondwosen , Valle Karen A , Oshunbade Adebamike A , Hall Michael E , Min Yuan-I , Cain-Shields Lorreta , Anugu Pramod , Correa Adolfo 
Published: August 2020

Abstract
Background: Multiple longitudinal responses together with time-to-event outcome are common in biomedical studies. There are several instances where the longitudinal responses are correlated with each other and at the same time each longitudinal response is associated with the survival outcome. The main purpose of this study is to present and explore a joint modeling approach for multiple correlated longitudinal responses and a survival outcome. The method will be illustrated using the Jackson Heart Study (JHS), which is one of the largest cardiovascular studies among African Americans. Methods: Four longitudinal responses, i.e., total cholesterol (TC), high density lipoprotein (HDL) cholesterol, triglyceride (TG) and inflammation measured by high-sensitivity C-reactive protein (hsCRP); and time-to-coronary heart disease (CHD) were considered from the JHS. The repeated lipid and hsCRP measurements from a given subject overtime are likely correlated with each other and could influence the subject's risk for CHD. A joint modeling framework is considered. To deal with the high dimensionality due to the multiple longitudinal profiles, we use a pairwise bivariate model fitting approach that was developed in the context of multivariate Gaussian random effects models. The method is further explored through simulations. Results: The proposed model performed well in terms of bias and relative efficiency. The JHS data analysis showed that lipid and hsCRP trajectories could exhibit interdependence in their joint evolution and have impact on CHD risk. Conclusions: We applied a unified and flexible joint modeling approach to analyze multiple correlated longitudinal responses and survival outcome. The method accounts for the correlation among the longitudinal responses as well as the association between each longitudinal response and the survival outcome at once. This helps to explore how the combination of multiple longitudinal trajectories could be related to the survival process.
Structure/epitope-based immunoinformatics analysis of structural proteins of 2019 novel coronavirus
Authors: Li Yuwei , Mao Mi , Yang Liteng , Sun Xizhuo , Zhong Nanshan , Liu Zhigang 
Published: August 2020

Abstract
The newly identified 2019 novel coronavirus (2019-nCoV) has caused more than 81,400 laboratory-confirmed human infections, including 3261 deaths, posing a serious threat to human health. Currently, however, there is no specific antiviral treatment or vaccine. To identify immunodominant peptides for designing global peptide vaccine for combating the infections caused by 2019-nCoV, the structure and immunogenicity of 2019-nCoV structural protein were analyzed by bioinformatics tools. 33 B-cell epitopes and 39 T-cell epitopes were determined in four structural proteins via different immunoinformatic tools in which include spike protein (22 B-cell epitopes, 25 T-cell epitopes ), nucleocapsid protein (7 B-cell epitopes, 6 T-cell epitopes), membrane protein (2 B-cell epitopes, 7 T-cell epitopes), and envelope protein (2 B-cell epitopes, 1T-cell epitopes), respectively. The proportion of epitope residues in primary sequence was used to determine the antigenicity and immunogenicity of proteins. The envelope protein has the largest antigenicity in which residue coverage of B-cell epitopes is 24%. The membrane protein possesses the largest immunogenicity in which residue coverage of T-cell epitopes is 55.86%. The reason that immune storm was caused by 2019-nCoV maybe that the membrane and envelope protein expressed plentifully in cell infected. Further, studies involving experimental validation of these predicted epitopes is warranted to ensure the potential of B-cells and T-cells stimulation for their effective use as vaccine candidates. These findings provide the basis for starting further studies on the pathogenesis, and optimizing the design of diagnostic, antiviral and vaccination strategies for this emerging infection.
Enzymatic activities and analysis of a mycelium-based composite formation using peach palm (Bactris gasipaes) residues on Lentinula edodes
Authors: de Lima Gabriel , Schoenherr Zaira , Magalhães Washington , Tavares Lorena , Helm Cristiane 
Published: August 2020

Abstract
By seeding fungus on top of industry residues, a mycelium can grow and form a compacted network structure, producing a material whose properties can be quite similar to polystyrene. However, depending on the source used, it may not develop due to lack of optimal fungal nutrients. In such case, peach palm residues can be a potential alternative. To test this hypothesis, this work evaluated the effect of using peach palm sheaths for mycelium growth of Lentinula edodes. They were also supplemented with cassava bran and varied sources of nitrogen – ammonium sulphate, potassium nitrate and soy flour – in order to analyse its effects to their properties, enzymatic activities and mycelium growth; at 12 and 20 days of cultivation. A well-formed composite occurred for pure soy flour, whose properties were tested as a compressed and non-compressed material, exhibiting acceptable values and demonstrates that this residue can be a potential alternative.
Influence of dosimetry method on bone lesion absorbed dose estimates in PSMA therapy: application to mCRPC patients receiving Lu-177-PSMA-I&amp;T
Authors: Brosch Julia , Uribe Carlos , Gosewisch Astrid , Kaiser Lena , Todica Andrei , Ilhan Harun , Gildehaus Franz Josef , Bartenstein Peter , Rahmim Arman , Celler Anna , Ziegler Sibylle , Böning Guido 
Published: August 2020

Abstract
Background

Patients with metastatic, castration-resistant prostate cancer (mCRPC) present with an increased tumor burden in the skeleton. For these patients, Lutetium-177 (Lu-177) radioligand therapy targeting the prostate-specific membrane antigen (PSMA) has gained increasing interest with promising outcome data. Patient-individualized dosimetry enables quantification of therapy success with the aim of minimizing absorbed dose to organs at risk while maximizing absorbed dose to tumors. Different dosimetric approaches with varying complexity and accuracy exist for this purpose. The relatively simple OLINDA method applied to tumors assumes a homogeneous activity distribution in a sphere with unit density. Voxel S value (VSV) approaches can account for heterogeneous activities but are simulated for a specific tissue. Full patient-individual Monte Carlo (MC) dose simulation addresses both, heterogeneous activity and density distributions. Subsequent CT-based density correction has the potential to overcome the assumption of homogeneous density in OLINDA and VSV methods, which could be a major limitation for the application in bone metastases with heterogeneous density. The aim of this investigation is a comparison of these methods for bone lesion dosimetry in mCRPC patients receiving Lu-177-PSMA therapy.
Results

In total, 289 bone lesions in 15 mCRPC patients were analyzed. Percentage deviation (PD) of absorbed lesion doses compared to full MC was + 7 ± 13% (min: -60%; max: +47%) for the OLINDA unit density sphere model. With an applied CT-based density weighting to account for density differences in bone lesions, PD was − 15 ± 6% (min: -54%; max: -2%). For a soft tissue VSV approach, large PDs of + 16 ± 13% (min: -56%; max: +57%) were found; after voxel-wise density correction this was reduced to -5 ± 2% (min: -15%; max: -2%). The use of a combination of standard soft tissue and cortical bone VSVs showed deviations of -35 ± 8% (min: -76%; max: +5%). With additional voxel-wise density weighting, the PD was − 3 ± 2% (min: -13%; max: 0%).
Conclusion

Based on our bone lesion dosimetry results, a VSV approach with subsequent CT-based, voxel-wise density correction enabled dose estimates, that closely replicate computationally-demanding gold-standard full MC dose simulations.
Identification and Functional Validation of Differentially Expressed Micrornas in Ascites-derived Ovarian Cancer Cells Compared With Primary Tumour Tissue
Authors: Jiang Yahui , Lyu Tianjiao , Liu Hua , Shen Lifei , Shi Yiwen , Zhou Tianyu , Feng Weiwei 
Published: August 2020

Abstract
Purpose: Ovarian cancer, manifested by malignant ascites, is the most lethal gynaecological cancer. Suspended ascites-derived spheroids may contribute to ovarian cancer metastasis. MicroRNAs (miRNAs) are also associated with ovarian cancer metastasis. Here, we aimed to investigate the differentially expressed miRNAs (DE-miRNAs) in ascites-derived spheroids compared with primary tumour tissue, which may regulate ovarian cancer metastasis.Methods: The DE-miRNAs between ovarian cancer primary tumour tissues and ascites-derived spheroids were identified by GEO2R screening in dataset GSE65819. We used MiRTarBase and STRING to predict the target hub genes of DE-miRNAs and WebGestalt to perform functional analysis of hub genes. ALGGEN PROMO and TransmiR v2.0 were used to predict the common transcription factors (TFs) that potentially regulate DE-miRNAs expression. The observed differences in DE-miRNAs expression were validated with human ovarian cancer samples and ovarian cancer cell lines using PCR. The functions of DE-miRNAs on ovarian cancer progression were verified by transwell and angiogenesis assays.Results: Through bioinformatics screening and experimental validation, miR-199a-3p, miR-199b-3p, miR-199a-5p, miR-126-3p and miR-145-5p were identified as being significantly downregulated in ascites-derived spheroids compared with primary tumour tissues. In addition, TFAP2A was identified as a potentially common upstream TF regulating the expression of the abovementioned DE-miRNAs. The overexpression of miR-199a-3p, miR-199b-3p, miR-199a-5p could inhibit ovarian cancer invasion, and the overexpression of miR-145-5p could inhibit angiogenesis.Conclusion: The downregulated expression of miR-199a-3p, miR-199b-3p, miR-199a-5p, miR-126-3p and miR-145-5p in ascites-derived spheroids plays a key role in promoting ovarian cancer progression, which may represent novel molecules for targeted therapy for ovarian cancer.
Does Residential Segregation Affect Access to Public Health Education Among Rural Migrants in China?
Authors: wang zicheng , Liu Jiachun , Ming Juan 
Published: August 2020

Abstract
Background: Rural migrants in China often experience serious residential segregation in destination cities, potentially resulting in limited access to public health education. However, the effect of residential segregation on public health education access remains unexplored. The present paper aims to address three issues. Does residential segregation have significant effects on access to public health education? If it does, what are its potential mechanisms accounting for? Additionally, are any heterogeneity effects differentiated by local duration, migration patterns, migration traits, and regional variations?Methods: The data from the 2014 National Migrants Population Dynamic Monitoring Survey and Logit regression are applied to explore the association between residential segregation and access to public health education. We further use multinomial treatment effects regression to address the endogenous issue. Several Logit models are also used to investigate potential mechanisms and heterogeneous effects.Results :The Logit estimations reveal that rural migrants in segregated neighborhoods are negatively related with lower prevalence of attendance (OR: 0.9200, 95% CI: 0.8500, 0.9958) and online participation of public health education (OR: 0.8709, 95% CI: 0.7893, 0.9609). The negative effects of residential segregation on access to public health education are also drawn in the multinomial treatment effects regressions (attendance model: coefficient: −4.3321, 95% CI: −8.6404, −0.0238; method model: coefficient: −1.6482; 95% CI: −2.6790, −0.6173). The mechanism analysis also demonstrates that residential segregation is negatively associated with the two potential transmission channels: social network formation (OR: 0.6630, 95% CI: 0.6098, 0.7209) and community participation (OR: 0.7880, 95% CI: 0.7106, 0.8737).Conclusion: Residential segregation produces a negative effect on public health education access. Social network and community participation may act as the transmission channel that links residential segregation and access to public health education. Additionally, the effects of residential segregation on public health education are differentiated across regional variations, local duration, migration patterns, and family migration.
Obesity and Severity in Patients with COVID-19: A Scoping Review Protocol
Authors: Costa Marcela Larissa , Souza Carlos Adriano Santos , Silva Ana Caroline Cardoso , Santos Dayane Franciely Conceição , Nonato Edilene Fernandes , Santana Francismayne Batista , Dias Giselle dos Santos , Barreto Jessyca Teles , Costa Laís Santos , Costa Maria Carolina Barros , Ferreira Tamila das Neves , Santana Jeniffer Santos , Netto Raquel Simões Mendes , Nascimento Tereza Virgínia Silva Bezerra do , Nunes Marco Antônio Prado , de Souza Márcia Ferreira Cândido 
Published: August 2020

Abstract
Background: Coronavirus disease (COVID-19), caused by the SARS-CoV-2 strain, was first identified in late 2019, in China. A greater number of countries were affected in 2020, with a consequent increase in the disease's epidemiological curve. The outcomes of patients affected by the virus can worsen, developing acute respiratory failure and other serious complications, especially when related to older individuals and people of all ages with obesity and comorbidities. Some studies have shown that obese infected with COVID-19 had a high frequency risk of hospitalization in the Intensive Care Unit and the need to use Invasive Mechanical Ventilation, in addition to the association between a higher death rate. Thus, obese patients tend to have a more severe course of COVID-19. In this sense, this review aims to synthesize the evidence in the literature that associates COVID-19 and the severity of the prognosis in infected obese patients. Methods: This protocol will include all study articles that can be used as instruments to assess the severity of clinical outcomes in obese patients infected by 2019-nCoV. There will be no time limitation when searching for articles. Studies in any environment or country for inclusion will be considered.Discussion: There are still not enough studies to characterize the evidence and its strength in the prognosis of the disease. Therefore, given the need for early detection of the possible implications and treatment for patients with obesity, the evidence will be useful for directing the conduct and optimization of therapies in these patients by the multiprofessional teams.Scoping review registration: Open Science Framework: https://osf.io/xrkec
The Gender Outcomes International Group: to Further Well-being Development (Going-fwd) Methodology on Identification and Inclusion of Gender Factors in Retrospective Cohort Studies
Authors: Raparelli Valeria Raparelli , Norris Colleen M. , Bender Uri , Herrero Maria Trinidad , Kautzky-Willer Alexandra , Kublickiene Karolina , Emam Khaled El , Pilote Louise 
Published: August 2020

Abstract
Background: Gender refers to the socially constructed roles, behaviors, expressions, and identities of girls, women, boys, men, and gender diverse people. It influences self-perception, individual’s actions and interactions, as well as the distribution of power and resources in society. Gender-related factors are seldom assessed as determinants of health outcomes, despite their powerful contribution.Methods: Investigators of the GOING-FWD project developed a standard methodology applicable for observational studies to retrospectively identify gender-related factors to assess their relationship to outcomes and applied this method to selected cohorts of non-communicable chronic diseases from Austria, Canada, Spain, Sweden.Results: The following multistep process was applied. Step 1 (Identification of Gender-related Variables): Based on the gender framework of the Women Health Research Network (i.e. gender identity, role, relations, and institutionalized gender), and available literature for a certain disease, an optimal “wish-list” of gender-related variables/factors was created and discussed by experts. Step 2 (Definition of Outcomes): each of the cohort data dictionaries were screened for clinical and patient relevant outcomes, using the ICHOM framework. Step 3 (Building of Feasible Final List): A cross-validation between gender-related and outcome variables available per database and the “wish-list” was performed. Step 4 (Retrospective Data Harmonization): The harmonization potential of variables was evaluated. Step 5 (Definition of Data Structure and Analysis): Depending on the database data structure, the following analytic strategies were identified: (1) local analysis of data not transferable followed by a meta-analysis combining study-level estimates; (2) centrally performed federated analysis of anonymized data, with the individual-level participant data remaining on local servers; (3) synthesizing the data locally and performing a pooled analysis on the synthetic data; and (4) central analysis of pooled transferable data.Conclusion: The application of the GOING-FWD systematic multistep approach can help guide investigators to analyze gender and its impact on outcomes in previously collected data.
The Role of Monitoring Platelet Function Perioperatively and Platelet Transfusion for Operated Spontaneous Intracerebral Hemorrhage Patients With Long-term Oral Antiplatelet Therapy: A Case Report
Authors: Wang Kaiwen , Li Maogui , Liu Qingyuan , Wu Jun , Cao Yong , Wang Shuo 
Published: August 2020

Abstract
Spontaneous intracerebral hemorrhage (SICH) with long term oral antiplatelet therapy (LOAPT) is known as a dilemma in balancing the risk of postoperative rebleeding and ischemic events because of confused coagulation function. In this case, the authors reported a 42 year old male SICH patient on LOAPT who received an emergency craniectomy. The thromboelastography suggested that the inhibition of platelet function was high preoperatively. After platelet transfusion during surgery and taking control of the clotting and platelet function postoperatively, the patient was stable without rebleeding and new ischemic events in perioperative period and recovered satisfactorily. The authors presented the importance of monitoring coagulation and platelet function perioperatively for SICH patients on LOAPT. Postoperatively, monitoring and taking control of clotting and platelet function would help in preventing rebleeding and ischemic events in SICH patients on LOAPT; moreover, platelet transfusion may quickly and safely reverse platelet dysfunction for emergency surgery.