bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis, Tribological Properties and Mechanism of Nickel Nanoparticles as Additives in Lithium Grease
Authors: Zhang Hong , hu wenjing , Li Jiusheng , Han sheng 
Published: August 2021

Abstract
The advanced nano-additives can effectively improve the tribological properties of grease, which can greatly reduce friction consumption. Therefore, we prepared nickel nanoparticles by direct reduction method using Ni(HCOO)2 • 2H2O as the basic raw material. The morphology and structure of the nanoparticles were characterized by scanning electron microscope (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), FT-IR spectrometer (FT-IR) and thermal gravimetric analysis (TGA). In order to investigate the lubrication performance of nickel nanoparticles in lithium grease, friction experiments were carried out on four-ball friction tester and TE77 ball-on-plate reciprocating model. Then, the worn surfaces were analyzed by scanning electron microscope and white light interferometry. Meanwhile, the element composition and valence state on friction surfaces were detected by energy dispersive spectrometer and X-ray photoelectron spectroscopy. Based on the experimental results, it was concluded that the nickel nanoparticles can effective improved the tribological properties by interlayer sliding. Moreover, the nickel nanoparticles could promote the formation of friction film on boundary lubrication surface and chemical reaction film between friction pairs. This study could provide a new direction for metal nano-additives to improve the tribological properties of grease.
Identification of Potential Biomarkers and Therapy Targets involved in Gastric Cancer Using Bioinformatics Analysis
Authors: Teng YangYang , Shan Na , Lu GuangRong , Ni LeYi , Gao ZeJun , Shen Yao , Xu Sheng , Wang QinJian , Ying QingJi , Zhang Jing , Yu HeJie , Xue ZhanXiong , Xing Chao , Cai ZhenZhai 
Published: August 2021

Abstract
Gastric cancer remains one of the five major malignant tumors in the world, posing a great threat to public life and health. As gene sequencing technology develops, it is urgent to find out specific molecular markers for cancer therapy. In this study, datasets of GSE13911, GSE30727, GSE63089 and GSE118916 were investigated by bioinformatics analysis, and differentially expressed genes (DEGs) between GC tissues and normal tissues were screened for potential cancer therapeutic targets. Furthermore, the GSE63089 dataset was analyzed by Weighted Gene Co-expression Network Analysis (WGCNA), and the highly related genes were clustered. Then, the hub genes were searched using co-expression network and Molecular Complex Detection (MCODE) plug-in from Cytoscape software. Finally, ASPM, COL11A1 and CDC20 were obtained by intersection of hub genes and DEGs. The expressions of ASPM, COL11A1 and CDC20 gene in gastric cancer tissues and normal tissues from TCGA database were detected. For these genes, the least absolute shrink and selection operator (LASSO) Cox expression analysis was used to establish the prognostic risk model. COL11A1 and CDC20 genes were identified as candidate prognostic risk markers for GC. Analysis using qRT-PCR has shown that COL11A1 and CDC20 were significant differentially expressed between gastric cancer tissues and normal gastric tissues (P < 0.01). In conclusion, our study identifies specific DEGs involved in ECM process and metabolism by cytochrome P450 process, and these DEGs may be potential targets for GC therapy. The model constructed by COL11A1 and CDC20 genes can predict the prognosis risk of GC patients. Taken together, these findings provide reference for further analyses of key alterations during GC progression.
Accuracy and Influencing factors of Pulmonary Artery Systolic Pressure estimated by Doppler Echocardiography: Comparsion with Right Heart Catheterization
Authors: Lv Guangjie , Li Aili , Tao Xincao , Zhai Yanan , Zhang Yu , Lei Jieping , Gao Qian , Xie Wanmu , Zhai Zhenguo 
Published: August 2021

Abstract
Purpose

This study aimed to explore the accuracy and influencing factors of noninvasive assessment of pulmonary artery systolic pressure by Doppler echocardiography (sPAPECHO) with right heart catheterization (RHC) as reference.
Methods

A total of 218 highly suspected pulmonary hypertension (PH) patients who underwent RHC and echocardiography within 7 days were included. The ratio of (sPAPECHO-sPAPRHC)/sPAPRHC was calculated and divided into three groups, namely, the underestimation group, accurate group and overestimation group by ± 10% as the boundary. The correlation and consistency between tricuspid regurgitation (TR) derived parameters and RHC results were tested by Pearson and Bland-Altaman methods. With mPAP ≥ 25mmHg measured by RHC as the standard diagnostic criteria of PH, ROC curve was used to evaluate the diagnostic efficacy. The influencing factors of sPAPECHO were analyzed by ordered regression analysis.
Results

sPAPECHO had the greatest correlation coefficient (r = 0.781, P < 0.001) and best diagnostic efficiency (AUC = 0.98) compared with other TR related methods. Bland-Altman analysis demonstrated the bias of sPAPECHO (mean bias = 0.07mmHg, 95% limits of agreement: -32.08 to + 32.22mmHg) was lower than that of TR-PG (mean bias = 5.87mmHg, 95% limits of agreement: -26.46 to + 38.21mmHg). The results of ordered regression analysis showed that TR signal quality, PAWP and sPAPRHC level affected the accuracy of sPAPECHO (P < 0.05). Relative to the signal quality of type A, the OR value of type B and C signal quality were 0.26 (95%CI: 0.14, 0.48) and 0.23 (95%CI: 0.07, 0.73), respectively. The OR value of PAWP was 0.94 (95%CI: 0.89, 0.99). Compared with high sPAPRHC level, the OR value of low and medium sPAPRHC level were 21.56 (95%CI: 9.57, 48.55) and 5.13 (95%CI: 2.55, 10.32), respectively.
Conclusion

sPAPECHO was superior than other TR-related methods in screening PH. TR signal quality is vital for accurate assessment of sPAPECHO. For patients with pre-capillary disease, a higher echocardiographic threshold is more suitable for determining the possibility of PH, especially during the initial stage of disease.
An Extended DMPs framework for Decoupled Quaternions Learning and generalization
Authors: Liao Zhiwei , Zhao Fei , Jiang Gedong , Mei Xuesong 
Published: August 2021

Abstract
Dynamic Movement Primitives (DMPs) as a robust and efficient framework has been studied widely for robot learning from demonstration. Classical DMPs framework mainly focuses on the movement learning in Cartesian or joint space, and can't properly represent end-effector orientation. In this paper, we present an Extended DMPs framework (EDMPs) both in Cartesian space and Riemannian manifolds for Quaternion-based orientations learning and generalization. Gaussian Mixture Model and Gaussian Mixture Regression are adopted as the initialization phase of EDMPs to handle multi-demonstrations and obtain their mean and covariance. Additionally, some evaluation indicators including reachability and similarity are defined to characterize the learning and generalization abilities of EDMPs. Finally, the quaternion-based orientations are successfully transferred from human to the robot, and a real-world experiment is conducted to verify the effectiveness of the proposed method. The experimental results reveal that the presented approach can learn and generalize multi-space parameters under multi-demonstrations.
Multifunctional PD-L1 Targeted Fe3O4@DOX Nanoparticles Under MRI Monitoring For Combination Therapy of Triple-Negative Breast Cancer
Authors: Zhao Jie , Li Ming , Duan Jiazhi , Guo Hang , Yu Dexin 
Published: August 2021

Abstract
Background: The triple negative breast cancer (TNBC) is the most difficult subtype of breast cancer to treat, with currently restricted treatment of chemotherapy. However, evidence suggests that immunomotropy is only effective for a small portion of patients. The combination therapy of both immunotherapy and chemotherapy has demonstrated great promise in its treatment efficiency. However, this combination therapy is limited by both the organ toxicity of the chemotherapeutic drugs and the inaccessibility of the in vivo monitoring of individual tumor response to therapies. With the development of the nanomedicine, synchronous targeting therapy, imaging diagnosis and monitoring can be achieved convenientlly using the multifunctional nano-platform for TNBC. Results: In our study, we prepared the DOX loaded Fe3O4 nanoparticles targeting the PD-L1 (PD-L1@Fe3O4-DOX, FPD) to obtain the real-time magnetic resonance imaging (MRI) monitoring and combination therapy of both chemotherapy and immunotherapy for TNBC. The results showed that FPD inhibited tumor growth more effectively than either DOX chemotherapy or PD-L1 immunotherapy alone. Conclusion: Our study demonstrated that FPD has shown a great potential for theranostics and clinical translation in synchronous MRI imaging-guided monitoring and combined treatment of both DOX and immunotherapy of TNBC.
Prognostic Biomarker SYK and its Correlation with Immune Infiltrates in Glioma
Authors: Liu Pei , Guo Jiamin , Xu Xiaoxiao , Sun Haixin , Gong Zheng 
Published: August 2021

Abstract
Background: Tumor microenvironment (TME) has great effects on the development process of glioma, and we sought to identify effective prognostic factors by analyzing data from patients with glioma. In this paper, CIBERSORT and ESTIMATE calculations were employed to figure up the ratio of tumor-infiltrating immune cells (TICs) and the quantity of immune and stromal components in 698 glioma dates from The Cancer Genome Atlas (TCGA) database. In addition, differentially expressed genes (DEGs) were studied by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and single genes associated with prognosis were identified by PPI network and COX combined analysis. Results: Immune and stromal scores of TME were significantly correlated with glioma patient survival. Through protein–protein interaction (PPI) network and regression analysis of COX, we finally determined that SYK was the best prognostic factor for patients with glioma. Gene Set Enrichment Analysis (GSEA) and CIBERSORT analysis were also employed, with the former showed that high-expression SYK group’s genes are principally enriched immune-related activities and the latter revealed that SYK expression was positively associated with T cells CD4 memory resting and Monocytes. All the above experimental analyses provided the theoretical basis for the biological prediction of SYK.Conclusions: SYK contributes to immune predictors in glioma patients by facilitating the shift of TME from immune dominance to metabolic activity, which provides promising insights into the treatment of glioma.
Positional Relationship Between Lacrimal Sac and Skull Base: Implication of Risk of Cerebrospinal Fluid Leakage During Dacryocystorhinostomy
Authors: Kono Shinjiro , Vaidya Aric , Naito Munekazu , Nakano Takashi , Ito Makoto , Kakizaki Hirohiko , Takahashi Yasuhiro 
Published: August 2021

Abstract
Cerebrospinal fluid (CSF) leakage is a rare but severe complication during dacryocystorhinostomy (DCR). Understanding the details of the anatomy of the lacrimal drainage system and skull base is essential to avoid this complication. We examined the positional relationship between the lacrimal sac and skull base using 16 cadavers (22 sides) and computed tomographic images taken in 81 patients (81 sides). Consequently, the frontal sinus intervened between the lacrimal sac and skull base in 81.8–90.1% of cases. The lacrimal sac fundus and posterior lacrimal crest were far from the skull base/cribriform plate, and the skull base above the lacrimal sac was considerably thick. These results indicate that the risk of skull base injury and following CSF leakage during DCR is extremely low. However, surgeons should be cautious of this complication by indirect injury due to a twisting movement of a bone rongeur applied to the maxillary bone during the creation of a bony window in patients with no interposition of the frontal and ethmoid sinuses between the lacrimal sac and skull base.
PMN-PSMNT ceramics fabricated using the twin-crystal mixed co-firing method
Authors: Bao Guocui , Shi Dongliang , Li Kun , Yang Guang , Fang Bijun , Lam Kwok-ho 
Published: August 2021

Abstract
(1-w)[Pb(Mg1/3Nb2/3)0.67Ti0.33O3]-w[Pb1 − 1.5xSmx(Mg1/3Nb2/3)yTi1−yO3] ((1-w)PMN-wPSMN-PT) piezoelectric ceramics were prepared using the newly proposed twin-crystal mixed co-firing method in which two pre-sintered precursor powders were mixed and co-fired with designated ratios (w = 0.3, 0.4, 0.5, 0.6). X-ray diffraction results show that all the samples presented a pure perovskite structure. The grains were closely packed and the average size was ~ 5.18 µm from the observations of scanning electron microscopy images, giving the high density of ceramics to be 97.8% of the theoretical one. The piezoelectric, dielectric, and ferroelectric properties of the ceramic samples have been investigated systematically. It was found that the performance of ceramics was significantly enhanced when compared to the ceramics fabricated using the conventional one-step approach. Outstanding piezoelectric coefficient d33 of 1103 pC/N and relative dielectric permittivity εr of 9154 could be achieved for the ceramics with w = 0.5.
Prediction of the Risk of Preoperative Deep Vein Thrombosis in Non-fractured Patients Awaiting Total Joint Arthroplasty Using a Support Vector Machine
Authors: Wang Haosheng , Fan Tingting , Chen Yanhua , Li Wenle , Zhao Fujiang , Liu Qiuming , Yang Mingyu 
Published: August 2021

Abstract
Background: We developed a potential useful alternative prediction model based on the support vector machine (SAM) algorithm to predict the risk of preoperative deep vein thrombosis (DVT) in non-fractured patients awaiting total joint arthroplasty (TJA). Methods: From March 2015 to August 2020, a retrospective review of the preoperative ultrasound examination findings of lower extremity venous vessels was performed on non-fractured patients of 369 elective TJA. Based on the ultrasound examination findings of preoperative lower extremely venous vessels, these patients were divided into two groups: the DVT group and the Non-DVT group. We collected the clinical, imaging, and laboratory findings from an electronic medical record system. These variables were imported into univariate, multivariate and logistic regression analysis to identify the risk factor for preoperative DVT. According to published literature and clinical experience, a series of variables were selected to construct a prediction model based on the SVM machine learning algorithm. Results: Among the 369 patients, preoperative DVT was observed in 21 patients (5.7%). The Multivariate regression analysis showed the following 5 independent factors associated with preoperative DVT: preoperative fibrinogen odds ratio [OR] = 7.306), age (OR = 1.133), history of hypertension (OR = 3.848), preoperative hematocrit (OR = 0.315), and D-dimer (OR = 2.032). The SVM model achieved a maximum and average area under the receiver operating characteristic curve (AUC) of 0.94 and 0.77 in the 10-fold cross-validation. Meanwhile, the accuracy, precision, and recall of the model were 0.98, 0.92, and 0.93, respectively. Additionally, the confusion matrix showed the classification results of the discriminant analysis.Conclusions: SVM machine modeling is a promising method for the prediction of the risk of DVT in non-fractured patients awaiting TJA. However, future external validation is needed.
Liraglutide improves cognitive function by reducing amyloid-beta peptide accumulation and inhibiting inflammation in 5×FAD mice
Authors: Qi Liqin , Lin Lijing , Zheng Jiaping , Liu Xiaoying , Liu Xiaohong , Chen Zhou , Liu Libin 
Published: August 2021

Abstract
The glucagon-like peptide-1 analog, liraglutide, has been shown to be effective in Alzheimer’s disease (AD); however, the underlying mechanism remains unknown. In this study, we evaluated the effects of liraglutide (25 nmol/day for 8 weeks) on the cognitive ability of 12-month-old 5× familial Alzheimer’s disease (FAD) mice. The spatial cognitive ability was improved in 5×FAD mice after administration of liraglutide, associated with an increased number of pyramidal cells in the cortex and hippocampus. Liraglutide also alleviated the ultrastructural changes in chemical synapses and pyramidal cells and reduced local and universal inflammation in AD mice. Furthermore, liraglutide reduced the expression of amyloid β protein through the regulation of nuclear factor kappa B/beta-secretase 1 pathways in AD mice. The potential of liraglutide to improve the cognitive function in AD animals offers an effective pharmacological approach for treating neurodegenerative diseases.
Challenges in the Management of Malignant Adenomioepithelioma of the Breast: a Case Report and Review of the Literatures
Authors: Wang Yu , Ling Yuwei , Li Kaifu , Zhang Yan , Zhao Ye , Kang Hua 
Published: August 2021

Abstract
Background: Malignant adenomyeloblastoma is a rare tumor, with no guidelines available for its treatment. Case presentation: We discuss a case of malignant adenomyeloblastoma of the right breast in a 59-year-old woman. The patient underwent a lumpectomy, and pathological diagnosis of malignant adenomyeloblastoma was distinct from the preoperative needle-biopsy diagnosis of intraductal papilloma. The patient underwent mastectomy and chemotherapy immediately. However, local recurrence was occurred 11 months after the initial operation. We summarize the characteristics of patients with malignant adenomyeloblastoma in PubMed and Web of Science databases, and share our experience and discoveries. Statistics included the univariate and multivariable Cox proportional hazards models. Overall, 34 patients were analyzed. Conclusions: At diagnosis, the median age was 59.3 years and the median tumor size was 30.0 mm. The most common initial surgery was breast-conserving surgery (50%), and a proportion of patients underwent axillary lymph node dissection (32%). Age, max diameter, and axillary status were associated with overall survival. Complete surgical excision with adequate margins is the most important treatment. Patients may not benefit from remedial adjuvant therapy, but may benefit from prompt postoperative adjuvant therapy. Multidisciplinary cooperation and follow-up are essential for the management of these patients. Our data would provide novel insights into a rare tumor that might avoid over- or under-treatment of the patients.
Case study: Awareness of indigenous knowledge associated with traditional herbs for health and sustainable development
Authors: Gupta Astha , Raj Priyaranjan , Lama Pemala Khyungba , priya Pragati , Kumar Utsav , Lalmuansangi C , Dolo Yame 
Published: August 2021

Abstract
Background

Traditional herbs are renowned from very ancient time due to historical, mythologicaland medicinal significance. In present scenario, traditional herbs are “Necessity of the new era” because they are also effective for deadly coronavirus disease (COVID-19).
Methods

To explore to pre-existing knowledge of traditional herbs, we investigated good numbers of participants from different location and age group. Most of the participants belong from age group of 18–25 (79.4%) followed by age group 26–30 (11.8%). Remarkably, good number of female candidate (58.8%) was actively involved as compared to male candidates (41.2%). Maximum number of peoples (26.5%) responded from Kathmandu (Nepal) and Mizoram, (India) followed by Nepalgunj (17.6%, Nepal) and Uttar Pradesh (11.8%, India).
Results

Interestingly, 82.4% peoples were aware about medicinal plants and 73.5% showed interest for learning. However, 64.7% and 35.3% peoples prefer medicinal herbs and pharmaceutical medicines respectively. Some participants explained that medicinal herbs are effective without side effects but very slow and are not helpful in emergencies. As data indicated 76.5% individuals were given the positive attention for medicinal plants farming.Data depicts that 82.4% individuals have been tried the medicinal herbs (turmeric, basil, giloy and aloe vera) in daily life and cured but 17.6% individuals were not cured after application. Besides, 11.8 % peoples were allergic and rest of the 88.2 % peoples was non-allergic to medicinal herbs and feel considerable positive effect (refresh, relax and glowing skin). Good number of the candidates was known to tulsi (70.6%) and aloe vera (64.7%). However, 14.7% peoples were unconvinced for medicinal herbs efficiency.
Conclusion

Traditional herbs are undervalued due to lack of knowledge/awareness and low availability in market. Therefore, present survey would be useful for society awarenessand daily consumption may improve the physical and mental health. In future, herbs farming would be good choice for extra income source and sustainable development in both rural and urban community.
Nonlocal Euler-Bernoulli Beam Theories with Material Nonlinearity and their Application to Single-Walled Carbon Nanotubes
Authors: huang kun , Qu Benning , Xu Wei , Yao Ji 
Published: August 2021

Abstract
The small-scale effect and the material nonlinearity significantly impact the mechanical properties of nanobeams. However, the combined effects of two factors have not attracted the attention of researchers. In the present paper, under the displacement’s Euler-Bernoulli assumption, we proposed two new nonlocal models to describe the mechanical properties of slender nanobeams for two centroid locus conditions: the locus extensibility and the locus inextensibility. Two new theories consider both the material nonlinearity and the small-scale effect induced by the non-local effect. The new models are used to analyze the static bending and the forced vibration for single-walled carbon nanotubes (SWCNTs). The results indicate that the stiffness’ softening effect induced by the material nonlinearity has more prominent impact than the nonlocal effect on SWCNT’s mechanical properties. Therefore, neglecting the material nonlinearity may cause qualitative mistakes.
The association between serum albumin and LOS of patients with acute heart failure: a retrospective study based on the MIMIV-IV database
Authors: Liu Tao , xuan haochen , wang lili , li xiaoqun , lu zhihao , tian zhaoxuan , chen junhong , wang chaofan , li dongye , xu tongda 
Published: August 2021

Abstract
Objective: To assess the relationship between serum albumin and length of stay (LOS) of the intensive care unit (ICU).Design and Participants: we retrospectively analyze 2280 patients with acute heart failure(AHF) from the medical information mart for intensive care IV (the MIMIC-IV ) database. Materials and Methods: The exposure variable of the present study was serum albumin. The outcome variable was LOS. The final models were established by multivariate linear regression, and subgroup analysis was performed. Trend test and smooth fitting curves were used to evaluate the association between serum albumin and LOS. Results: When the value of serum albumin was less than 5.1g/dl, the analysis of 2280 patients showed that the linear relationship between albumin and LOS. LOS was gradually shortened with the albumin increasing (β: -0.636; 95%CI: -0.819, -0.453; P <0.001). In subgroup, sepsis and serum albumininitial had an interactive effect on LOS (P=0.036), and there was significantly different between AHF patients with sepsis (β:-1.927; 95%CI:-3.823, -0.030) and without sepsis(β: -1.412; 95%CI:-1.737, -1.087) .Conclusion: When serum albumin was less than 5.1g/dl, the negative association was presented between serum albumin level and LOS among patients with AHF, and this association is even closer in patients with sepsis.