bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Active Pressurized Forced Lubrication Deep Drawing Process and Evaluation of Lubrication Effect
Authors: Chen Duan , Zhao Changcai , Chen Xiaoyi , Li Haoyang , Zhang Xin 
Published: October 2021

Abstract
Friction and lubrication are important parameters that affect the quality of sheet metal forming, excellent lubrication condition and less harmful friction can reduce local thinning of sheet metal, delay fracture and improve surface quality. Aiming at the poor friction conditions and difficult lubrication in the flange area during deep drawing, an active pressurized forced lubrication deep drawing(FLDD) process was proposed in this paper. A hydraulic system was employed to flush high pressure lubricating oil into the contact gap between die and sheet in the flange area. The high pressure hydrostatic oil film in the contact gap can reduce the real contact area and improve the lubrication condition effectively. The equipment is simple, the cost is low, and lubricating oil pressure can be measured and controlled. Under the conditions of 20kN, 35kN and 50kN blank holder force(BHF), FLDD test of box parts was carried out with 5MPa and 9MPa pressure water-based lubricating oil. The horizontal comparison experiment was conducted with common lubricating media such as polyethylene film(PE film), high-purity molybdenum disulfide particles, vegetable oil and water-based lubricating oil under the same process conditions. Lubrication effect was evaluated by obtaining test data. Test results illustrated that the lubrication effect of high-purity molybdenum disulfide particles was the best and that of vegetable oil was the worst. The lubrication effect of water-based mineral lubricant was significantly improved after pressurization. The maximum forming height was increased by 17.97%, the maximum forming force was reduced by 8.9%, the maximum wall thickness thinning rate was reduced by 7%, and the lubrication effect of 9MPa pressure was superior to that of 5MPa. Although there is still a certain shortfall with special lubricating media such as high-purity molybdenum disulfide, FLDD process has definite application value in improving production environment, pollution control and automatic production.
Dipeptidyl Peptidase-4 Inhibitor Administration Is Associated with Higher Eosinophil Counts and Batter Clinical Outcomes in Patients with Aorta Intramural Hematoma
Authors: chen qu , Jiang Dandan , shan zhonggui 
Published: October 2021

Abstract
Objectives Investigating whether dipeptidyl peptidase-4 (DPP-4) inhibitors could influence clinical outcomes in intramural hematoma (IMH) patients with diabetes mellitus (DM). Methods IMH patients who received a "wait and watch strategy" were included. Cox proportional hazard models were constructed to identify potential risk factors. A Kaplan–Meier survival analysis was used to estimate all-cause and aorta-related mortality during the follow-up period. Results From January 2000 to December 2020, 1094 IMH patients were divided into group A (n=572, IMH patients without DM), group B (n=191, IMH patients with DM and receiving oral antidiabetic drugs [without admission of DDP-4 inhibitors]) and group C (n=331, IMH patients with DM and receiving oral antidiabetic drugs [including admission of DDP-4 inhibitors]). Group C had the lowest rate of aorta-related adverse events (6.4%), aorta-related mortality (1.2%) and reintervention (5.2%). Cox proportional hazard models revealed that lower eosinophil count (per 0.1, hazard ratio [HR], 0.61; 95% confidence interval [CI], 0.51-0.73, P< 0.001) and thicker hematoma thickness (HR, 1.22; 95% CI, 1.06-1.39, P <0.001) were associated with higher occurrences of aorta-related adverse events. Lower eosinophil count (per 0.1, HR, 0.24; 95% CI, 0.15-0.40, P <0.001), larger descending aorta diameters (HR, 1.12; 95% CI, 1.02-1.23, P <0.021), and thicker hematoma thickness (HR, 3.25; 95% CI, 2.36-4.46, P <0.001) were also associated with increased aorta-related mortality. Kaplan-Meier survival analysis revealed a significant decrease in all-cause and aorta-related mortality in group C ( P <0.001). Conclusions DPP-4 administration influences progression of IMH patients with DM, leading to a lower rate of aorta-related adverse events, aorta-related mortality, and reinterventions.
Triglyceride Glucose-Body Mass Index is a Reliable Indicator of Bone Mineral Density and Risk of Osteoporotic Fracture in Middle-Aged and Elderly Nondiabetic Chinese Individuals
Authors: Wen Zhang-Xin , Li Yong-Fang , Xu Lu-Lu , Yue Chun , Wang Qin-Yi , Chen Rong , Ding Na , Qu Xiao-Li , Ou Yang-Na , Yang Yan-Yi , Sheng Zhi-Feng , Liu Hong 
Published: October 2021

Abstract
Purpose: This study aimed to investigate the relationship of triglyceride glucose-body mass index (TyG-BMI) with bone mineral density, femoral neck geometry, and risk of fracture in middle-aged and elderly Chinese individuals. Methods: A total of 832 nondiabetic individuals (474 men aged ≥50 years and 358 postmenopausal women) were selected from the prospective population-based HOPE cohort. All individuals underwent dual-energy X-ray absorptiometry for assessment of bone mineral density (BMD) at the lumbar spine, femoral neck, and total hip, as well as femoral neck geometry. The 10-year probabilities of major osteoporotic fractures (MOFs) and hip fractures (HFs) were calculated. Correlations of TyG-BMI with BMD at different sites, femoral neck geometry, and risk of fractures were examined in men and women. Results: Cortical thickness (CT), compression strength index (CSI), cross-sectional moment of inertia (CSMI), cross-sectional area (CSA), section modulus (SM), and 25(OH)D levels were significantly lower in women (all P < 0.001). The presence of osteoporosis was related to age, BMI, BMD and femoral neck geometry, TyG-BMI index and TyG index, MOF and HF in both sex. TyG-BMI was positively correlated with BMD at femoral neck, lumber spine, and total hip and with femoral neck geometry parameters in men, Similar significant association was also present in women. In men, TyG-BMI showed significant negative correlation with HF but not with MOF. In women, TyG-BMI showed significant negative correlation with both factors only after adjusting for other variable. The various geometric indices of the femoral neck were 3 significantly impaired in individuals with low TyG-BMI. the TyG-BMI index was found to be significantly associated with osteoporosis after adjusting for confounders. Conclusion: TyG-BMI is positively associated with BMD and femoral neck geometry, and negatively associated with risk of fracture in nondiabetic middle-aged and elderly Chinese men and women.
Analysis of Primary Metabolites of Morchella Fruit Bodies And Mycelium Based On Widely Targeted Metabolomics
Authors: Yang Yuhong , Yang Jian , Wang Hongling , Jin Yusong , Liu Jing , Jia Ranran , Wang Zhuo , kang zongli 
Published: October 2021

Abstract
Morchella is a kind of medicinal and edible homologous fungia that is rich in multiple metabolites. The metabolites from Morchella are a kind of essential substance because of their biological activities. In this study, Morchella fruit bodies and mycelium were selected to identify their metabolites. The primary metabolites of the two experimental group were analyzed using a method of widely targeted metabolome based on UPLC-ESI-MS/MS. A total of 354 different metabolites, including 188 upregulated metabolites and 166 downregulated metabolites, were characterized. Further, the main 20 metabolic pathways of the metabolites were analyzed. The first 9 ones are tyrosine metabolites, thyroid hormone biosynthetic pathway, phenylalanine metabolites, linoleic metabolites synthetic pathway, glycerophosphate metabolic pathway, choline in tumors, methyl butyl metabolites, arginine synthetic pathway, arginine, arginine and proline metabolites. This study provides theoretical basis for the analysis of metabolic pathway of Morchella fruit bodies and mycelium that serving for further research of their medicinal mechanism and effective components.
Impact of mass vaccination on SARS-CoV-2 infections among the total multiple sclerosis population receiving immunomodulatory disease-modifying therapies in England
Authors: Evangelou Nikos , Garjani Afagh , Patel Sameer , Bharkhada Dhiren , Rashid Waqar , Coles Alasdair , Law Graham 
Published: October 2021

Abstract
This study aimed to understand changes in the risk of SARS-CoV-2 infection among all people with multiple sclerosis (MS) receiving immunomodulatory disease-modifying therapies (DMTs) in England, compared to the general population, following mass vaccination. Longitudinal data collected by the National Health Service (NHS) England on all MS DMT prescriptions and the UK Health Security Agency on all registered SARS-CoV-2 test results were analysed. The incidence rate ratio of SARS-CoV-2 infection among people with MS taking DMTs compared to the general population was calculated before (November 2020-January 2021) and after (July-August 2021) mass vaccination. Risk of SARS-CoV-2 infection among people on ocrelizumab or fingolimod compared to the general population increased following liberalisation of COVID-19 restrictions (during March-July 2021) despite mass vaccination. No changes were found with other DMTs. These findings converge with the impaired immune response to vaccines observed with ocrelizumab and fingolimod.
Review of Artificial Intelligence Techniques inGreen/Smart Buildings.
Authors: Rodriguez-Gracia Diego , Capobianco-Uriarte Maria de las Mercedes , Teran-Yepez Eduardo , Piedra-Fernandez Jose , Iribarne Luis , Ayala Rosa 
Published: October 2021

Abstract
The many benefits offered by green or smart buildings have led to an increase in their construction. In turn, this growth has been accompanied by a rapid evolution of research on this topic. Thus, given the specialist interest, research on the use of artificial intelligence in this type of construction has been gaining space. This topic, although still novel, due to its current and future importance requires a literature review to identify the main actors, evaluate the past and establish future lines of research. The results based on 174 manuscripts detected in Web of Science and Scopus databases allow us to establish the main authors, institutions, countries and journals as well as the seminal papers in this field. Furthermore, through a keywords co-occurrence analysis this study identifies some of the topics that have received most interest in the past as well as some promising future research trends. This bibliometric study analyzes the relationship between the main clusters DML&B (Deep - Machine Learning and Building Constructions) by means of a detailed description of the fundamental concepts identified in the content analysis. It is complemented by a temporal keyword analysis focusing on the economic, social and environmental benefits obtained through green or intelligent buildings. Consequently, this research contributes to the literature by providing an overview of the past and current status of this field, as well as by opening future research lines.
Investigation of Improving The Pre-Training And Fine-Tuning of BERT Model For Biomedical Relation Extraction
Authors: Su Peng , Vijay-Shanker K. 
Published: October 2021

Abstract
Background: Recently, automatically extracting biomedical relations has been a significant subject in biomedical research due to the rapid growth of biomedical literature. Since the adaptation to the biomedical domain, the transformer-based BERT models have produced leading results on many biomedical natural language processing tasks. In this work, we will explore the approaches to improve the BERT model for relation extraction tasks in both the pre-training and fine-tuning stages of its applications. In the pre-training stage, we add another level of BERT adaptation on sub-domain data to bridge the gap between domain knowledge and task-specific knowledge. Also, we propose methods to incorporate the ignored knowledge in the last layer of BERT to improve its fine-tuning. Results: The experiment results demonstrate that our approaches for pre-training and fine-tuning can improve the BERT model performance. After combining the two proposed techniques, our approach outperforms the original BERT models with averaged F1 score improvement of 2.1% on relation extraction tasks. Moreover, our approach achieves state-of-the-art performance on three relation extraction benchmark datasets. Conclusions: The extra pre-training step on sub-domain data can help the BERT model generalization on specific tasks, and our proposed fine-tuning mechanism could utilize the knowledge in the last layer of BERT to boost the model performance. Furthermore, the combination of these two approaches further improves the performance of BERT model on the relation extraction tasks.
Assessment of Genetic Diversity Among Intra- and Interspecific Lowland Rice using Morpho-agronomic Traits and SSR Markers
Authors: Ogunbayo Ayoni , Sié Moussa , Gregorio Glenn B. , Ojo David Kolawole , Sanni Kayode Abiola , Akinyosoye Solomon Tayo , Afeez Shittu , Akinwale Moses Gbenga , Adetoro Najimu Adeniyi , Adetumbi Johnson Adedayo , Amusa Oluwafemi Daniel , Adekoya Modinat Adejoke , Obukosia Silas , Akinbo Olalekan 
Published: October 2021

Abstract
Rice is staple food in many countries of Africa and a major part of the diet in many others. However, Africa’s demand for rice exceeds production with the deficit of 40% being imported. One way to improve Africa’s rice production is through breeding high yielding varieties suitable for the different environment conditions. This study was conducted to assess the genetic variability and stability performance of 48 lowland rice genotypes including 37 interspecific (Oryza glaberrima × Oryza sativa ssp. indica) and 11 intraspecific (O. sativa ssp. indica × O. sativa ssp. indica) in 12 environments in Nigeria, Benin Republic and Togo using Additive Main Effect and Multiplicative Interaction (AMMI) and Genotype+ Genotype x Environment (GGE) biplot models. The combined analysis of variance revealed significant differences (P<0.01) among the genotypes, environments, and genotypes x environment interaction. Both the AMMI and GGE models identified NERICA-L8 and NERICA-LI2 as the best genotypes for cultivation across environments. Ouedeme environments in Benin Republic were the most stable and ideal for rice cultivation, while Ibadan sites were the most unstable. TOG 5681 had the least yield and was the most unstable across seasons. Genetic diversity was analyzed using 22 important morpho-agronomic traits and 50 simple sequence repeat (SSR) markers and the results were subjected to principal components analysis (PCA). The results revealed that the first eight PC axes (PC1–8) accounted for 75.13% of the total variation, while PC1–4 accounted for 50.39% of the total variation among rice genotypes. However, 10 of the 50 SSR markers were polymorphic and generated 49 alleles (average = 4.9 alleles per locus), suggesting moderate to substantial genetic diversity among the rice genotypes. The polymorphic information content (PIC) ranged from 0.24 to 0.65, with an average PIC value of 0.45. Two structured populations were observed which clustered into five heterotic groups and an outgroup, respectively. This suggests that heterosis could be exploited in the next hybridization program by crossing one of the genotypes in any SSR marker-defined cluster, with the rice accession TOG 5681 in cluster I. The results of this study suggest that morpho-agronomic traits should be used to compliment SSR data in rice diversity studies, especially if a few polymorphic SSR markers are to be used.
Analysis of Conventional and Biodegradable Microplastics in Solid Sample Matrices: A Contribution to Method Standardization
Authors: Schütze Berit , Thomas Daniela , Kraft Martin , Brunotte Joachim , Kreuzig Robert 
Published: October 2021

Abstract
Microplastics are the new emerging pollutants ubiquitously detectable in aquatic and terrestrial ecosystems. Fate and behavior as well as ecotoxicity are of increasing environmental concern particularly in sediments and soils as natural sinks. For a global environmental risk assessment reliable and easy to apply analytical methods are mandatory to obtain comparable data. This is based on the isolation of microplastics out of the solid sample matrices prior to instrumental detection. Thus, this study provides a validated approach for density separation, which emerged from a comparative study using different salt solutions to isolate conventional and for the first time biodegradable microplastics from different solid sample matrices, i.e., sand, artificial soil, and compost. Four solutions (water, sodium chloride, sodium hexametaphosphate and sodium bromide) of different densities were applied followed by oxidizing digestion. Finally, the impact of the procedures on size and surface properties of microplastics was tested. Dependent on the sample matrix, highest recovery rates of 87.3-100.3 % for conventional polymers and 38.2–78.2 % for biodegradable polymers were determined with sodium bromide. It could be shown that the type of solid sample matrix influences the recovery rates and has to be considered when choosing a sample preparation technique.
An Individualized Red Blood Cell Transfusion Strategy Using Pediatric Perioperative-Transfusion-Trigger Score Reduced Perioperative Blood Exposure for Children: A Randomized Controlled Clinical Trial
Authors: Luo Zhen , Li Yansong , Zuo Yunxia , Liao Ren , Liu Jin 
Published: October 2021

Abstract
Background
The optimal red blood cell transfusion strategy in children remains unclear. We developed an individualized pediatric red blood cell transfusion strategy, and postulated that red blood cell transfusion guided by this strategy in children would reduce blood exposure without compromising patients’ safety.
Methods
In this randomized controlled clinical trial, 99 children undergoing non-cardiac surgeries who had blood loss of more than 20% total blood volume were randomly assigned to an individualized-strategy group using Pediatric Perioperative-Transfusion-Trigger Score, or a control group. The amount of transfused red blood cells was counted, and patients were followed up for postoperative complications by day-30. This trial was registered at the Chinese Clinical Trial Registry (Registration number: ChiCTR-IRP-16007909, Date:07/02/2016).
Results
26 children (53.1%) in individualized-strategy group received transfusion perioperatively, as compared with 37 children (74%) in the control group (p<0.05). During surgery, children in individualized-strategy group were exposed to fewer transfusions than in the control group (0.87±1.03 vs. 1.33±1.20 red-blood-cell units per patient, p<0.05). The incidence of severe complications in individualized-strategy group had the lower trend compare to the control group (8.2% vs. 18%, p=0.160). No significant differences were found in the other outcomes.
Conclusion
This study proved that transfusion guided by the individualized strategy reduced perioperative blood exposure in children, without increasing the incidence of severe complications. This conclusion needs to be further confirmed by implementing multicenter, large-sample clinical trials.
Trial registration
The study was registered at http://www.chictr.org.cn/showprojen.aspx?proj=13361 (Registration number: ChiCTR-IRP-16007909, Date:07/02/2016).
The influencing factors of the willingness to screen for prostate cancer in middle-aged and elderly men:A qualitative study
Authors: Hao Shutao , Zheng Jin , Ju Min , Sun Longfeng 
Published: October 2021

Abstract
Objective

To explore the factors influencing the willingness to screen for prostate cancer in middle-aged and elderly men, and to provide a basis for improving the status of insufficient prostate cancer screening in my country, and to improve the overall prognosis and quality of life of prostate cancer patients in my country.
Methods

Using phenomenological research methods to conduct semi-structured in-depth interviews with 21 middle-aged and elderly men, using MAXQDA software and Colaizzi's seven-step analysis method for coding, analysis and subject extraction.
Results

Based on the theoretical framework of planned behavior, the influencing factors of the willingness to screen for prostate cancer in middle-aged and elderly men can be refined into three themes of behavior attitude, subjective norms, and perceived behavior control, and 12 sub-themes of its sub-themes.
Conclusion

The willingness of middle-aged and elderly men to screen for prostate cancer is affected by many factors. Medical and health workers should adopt a variety of comprehensive interventions to guide the reasonable screening of middle-aged and old men to promote their prostate cancer screening behaviors.
Tear Film Stability After Primary Pterygium Excision Combined with Limbal Stem Cell Transplantation is Superior to Amniotic Membrane Transplantation: A Meta-Analysis
Authors: Yin Chuanjie , Bao Yinlei , Kang Suifang , Zhang Qichen , Chen Guoling 
Published: October 2021

Abstract
Purpose To evaluate the tear film stability after primary pterygium excision combined with Limbal stem cell transplantation (LSCT) or amniotic membrane transplantation (AMT). Methods We searched the PubMed, EMBASE, Web of Science, Cochrane Library, CNKI, Wan Fang and VIP databases for all studies on tear film stability after primary pterygium excision combined with LSCT or AMT. The mean difference (MD) and 95% confidence interval (CI) were calculated for outcomes using the fixed effect or random effect model.Results Seven studies with a total of 531 eyes were enrolled in our meta-analysis, which revealed that comparison between the LSCT group and the AMT group: Ocular Surface Disease Index (OSDI) 3 months postoperatively (MD=-5.16, 95%CI:-6.48,-3.85, P＜0.05), Tear break-up time (BUT) 1 or 3 months postoperatively (1 month: MD=0.30, 95%CI:-0.66,1.26, P=0.54; 3 months: MD=1.30, 95%CI:-0.13,2.72, P=0.07), Schirmer I test 1 or 3 months postoperatively (1 month: MD=0.05, 95%CI:-0.41,0.51, P=0.82; 3 months: MD=1.41, 95%CI:0.81,2.02, P＜0.05), Corneal fluorescein staining (CFS) score 1 month postoperatively (MD=-0.49, 95%CI:-1.29,0.31, P=0.23).Conclusion Primary pterygium excision combined with LSCT is associated with better tear film stability changes than AMT.