bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Importance of Duration of Acute Kidney Injury after Severe Trauma: A Cohort Study
Authors: Hatton Gabrielle Elise , Harvin John A , Wade Charles E , Kao Lillian S 
Published: July 2020

Abstract
Introduction: Acute kidney injury (AKI) is common after severe trauma. AKI incidence and AKI stage have previously been shown to be associated with poor outcomes after trauma. However, AKI duration may also be important for outcomes after trauma, given that it has been shown to be associated with long-term morbidity and mortality in general intensive care unit (ICU) and hospitalized patients. We hypothesized that duration of AKI is independently associated with poor outcomes after trauma. Methods: A cohort study was conducted at a single, level 1 trauma center. Patients admitted to the ICU between 2009 and 2018 were included. Data were extracted from the trauma registry and electronic medical records. AKI within 7 days from presentation was defined according to the Kidney Disease Improving Global Outcomes guidelines. Multivariable analyses were performed to assess the association between AKI incidence, AKI stage, and AKI duration with outcomes including prolonged ICU and hospital length-of-stay, discharge to home, and mortality. Collinearity was assessed using the variance inflation factor. Results: Of 7049 patients included, 72% were male, the median age was 41 years (IQR 27-58), and 10% expired. The AKI incidence was 45%, with 69% of these patients presenting with AKI on arrival. The majority (73%) of patients who suffered AKI recovered within 2 days. After adjustment in separate models, AKI incidence, AKI stage and AKI duration were each associated with prolonged hospitalization, an unfavorable discharge disposition, and mortality. AKI stage and duration were collinear and therefore not used in the same model. Conclusions: Post-traumatic AKI was common on arrival and frequently short-lasting. Duration was correlated with highest AKI stage, and both were separately associated with prolonged hospitalization, discharge destination other than home, and mortality on adjusted analyses. Given the high incidence of AKI on arrival, stage or duration may be better targets for future interventions and quality improvement initiatives to improve outcomes after post-traumatic AKI.
Research on Image Recognition of Intangible Cultural Heritage Based on CNN and Wireless Network
Authors: Liu Enmao 
Published: July 2020

Abstract
The image of national costumes is the main way of presenting the digitalization of intangible cultural heritage and provides important resources for educational informatization. How to use modern information technology to efficiently retrieve images of national costumes has become a hot research topic. Due to the diverse styles and colorful colors of ethnic costumes, it is difficult to accurately describe and extract visual features. In view of the above problems, this paper proposes an image recognition model of intangible cultural heritage based on CNN and wireless network. First of all, the clothing images of ethnic settlements and ethnic museums are acquired through wireless network transmission, so as to construct an image material library of intangible cultural heritage. Secondly, the CNN algorithm is used to train and optimize the national costume image samples, extract the high-level semantic features of the national costume image, and finally realize the efficient retrieval of the national costume image educational resources. This model lays a good foundation for the informatization of national costumes and contributes to the inheritance and protection of intangible cultural heritage.
Integrative modeling of multi-omics data for predicting tumor mutation burden in lung cancer patients
Authors: Chen Peng , Wang Jun , Su Mingyang , Zhong Guocheng , Zhang Shasha , Gou Deming 
Published: July 2020

Abstract
Background

Immunotherapy has been widely used in the treatment of lung cancer, and one of the most effective biomarker for the prognosis of immunotherapy currently is tumor mutation burden (TMB). Although whole-exome sequencing (WES) could be utilized to assess TMB, several problems prevent its routine clinical application.
Methods

To develop a simplified TMB prediction model, patients with lung adenocarcinoma (LUAD) in The Cancer Genome Atlas (TCGA) were randomly split into training and validation cohorts, and categorized into TMB-high (TMB-H) and TMB-low (TMB-L) groups respectively.
Results

Based on the 610 differentially expressed genes, 50 differentially expressed miRNAs and 58 differentially methylated CpG sites between TMB-H and TMB-L patients, we constructed 4 predictive signatures and established TMB prediction model through machine learning methods that integrating the expression or methylation profiles of 7 genes, 7 miRNAs and 6 CpG sites. The multi-omics model exhibited excellent performance in predicting TMB with the area under curve (AUC) of 0.911 in the training cohort and 0.859 in the validation cohort. Besides, the significant correlation between the multi-omics model score and TMB was observed.
Conclusions

In summary, we developed a prognostic TMB prediction model by integrating multi-omics data in patients with LUAD, which might facilitate the further development of quantitative real time-polymerase chain reaction (qRT-PCR) based TMB detection assay.
Clinic correlation and prognostic value of P4HB and GRP78 expression in gastric cancer
Authors: Zhang Chenfei , Zhao Wenjing , Zhang Xingsong , Wu Tongyu , Zhang Xunlei , Song Li , Xu Weiwei , Chen Xudong , Yang Lei 
Published: July 2020

Abstract
Background

Prolyl 4-hydroxylase, beta polypeptide (P4HB) and Glucose‑regulated protein 78 (GRP78) are represent for poor prognosis of various cancers. However, rare research investigate the correlation of them in cancer. This study aimed to investigate the correlation and prognostic value of P4HB and GRP78 expression along with clinical features in gastric cancer (GC).
Methods

A total of 150 GC tissue samples separately evaluated P4HB and GRP78 protein expression by immunohistochemistry. Association of P4HB and GRP78 expression with clinicopathological features was analyzed. Bioinformatics analyses were performed to find correlation between mRNAs and pathways. Kaplan-Meier analyses were taken to compare survival curves. Univariate and multivariate Cox regression models used to analyze the impact of prognostic factors on overall survival (OS). A prognostic nomogram was constructed based on the multivariate Cox regression model, and compared to TNM stage in discrimination ability and clinical usefulness.
Results

P4HB and GRP78 expression were both associated with tumor invasion and lymph node metastasis. P4HB protein positively correlated with GRP78, as well as the same tendency of mRNAs in both GC tissue and cell databases. Bioinformatics analyses indicated that P4HB and GRP78 may be associated with protein folding and response to ER stress, and the protein processing in ER pathway. High single or co-expression of P4HB and GRP78 represented for a shorter OS. When stratified by postoperative adjuvant chemotherapy, the high co-expression was only related to unfavorable prognosis of with chemotherapy group, especially in advanced stage. Multivariate Cox regression analysis identified co-expression of P4HB and GRP78 as an independent prognostic factor for OS. The nomogram including the co-expression was better than TNM stage in discrimination ability and clinical usefulness through the receiver operating characteristic (ROC) and decision curve analysis (DCA) curves.
Conclusion

P4HB was positively correlated with GRP78 expression, co-expression of them was an independent prognostic factor, could serve as a predictive marker for GC patients with postoperative adjuvant chemotherapy in advanced stage.
Evaluation of Pretreatment Methods (Acid and Alkali) in Improving the Enzymatic Saccharification of Sugarcane Baggase: Structural and Chemical Analysis
Authors: Tiwari Soni , Yadav Janardan , Gaur Rajeeva , Yadav Jay Shanker 
Published: July 2020

Abstract
Background: Enhancement of cellulase and xylanase production and improvement of more proficient lignocellulose-degrading enzymes are essential in order to decrease the price of enzymes required in the biomass-to-bioethanol production. Results: The effectiveness of different concentration of alkali and acid pretreatment of sugarcane bagasse for improving the enzymatic saccharification of cellulose has been evaluated. The sugarcane bagasse was characterized to contain 39.52% cellulose, 25.63% hemicelluloses, 30.36% lignin, 1.44% ash and 2.90% other extractives. Afterthat, The sugarcane bagasse was pretreated with two different concentrations (5% and 10%) of H2SO4 and NaOH at 121°C for 60 min. Among them, the best result was obtained when sugarcane bagasse was pretreated with 10% NaOH solution followed by 10% H2SO4, 5% NaOH and 5% H2SO4 solution. The highest cellulose saccharification was 489.5 mg/g from 10% NaOH pretreatment followed by 322.75mg/g, 301.25 mg/g and 276.6 mg/g from 10% H2SO4, 5% NaOH and 5% H2SO4, respectively, which were 55.1, 32.0, 27.1 and 20.6 times higher than the control. Moreover, the FTIR, XRD and SEM analysis showed significant molecule and surface structure changes of the sugarcane bagasse after different pretreatments. Cellulase and xylanase produced by Pseudomonas sp. CVB-10 [MK443365] and Bacillus paramycoides T4 [MN370035] was used to hydrolyze the pretreated sugarcane bagasse and the optimal condition was determined to be 30 h of enzymatic reaction with 3:1 ration of enzymes under the temperature of 55°C, pH 5.5, substrate concentration of 3% and Tween-20 0.5%. Conclusion: Enzyme supernatants produced by the mixed culture of Pseudomonas sp. CVB-10 [MK443365] and Bacillus paramycoides T4 [MN370035] on various pretreated sugarcane baggase have good cellulase and xylanase activities, leading to celluloses and Hemicelluloses conversion in the enzymatic hydrolysis/saccharification that is more proficient.
Prediction of Hypotension Events with Physiologic Vital Sign Signatures in The Intensive Care Unit
Authors: Yoon Joo Heung , Jeanselme Vincent , Dubrawski Artur , Hravnak Marilyn , Pinsky Michael R. , Clermont Gilles 
Published: July 2020

Abstract
Background. Even brief hypotension is associated with increased morbidity and mortality. We developed a machine learning model to predict the initial hypotension event among intensive care unit (ICU) patients, and designed an alert system for bedside implementation. Materials and Methods. From the Medical Information Mart for Intensive Care III (MIMIC-3) dataset minute-by-minute vital signs were extracted. A hypotension event was defined as at least 5 measurements within a 10-minute period of systolic blood pressure ≤ 90 mmHg and mean arterial pressure ≤ 60 mmHg. A random forest (RF) classifier was used to predict hypotension, and performance was measured with area under the receiver operating characteristic curve (AUROC) and area under the precision recall curve (AUPRC). Hypotension alerts were generated using risk score thresholds, then a stacked RF model and a lock-out time were applied for real-life implementation. Results. We identified 1307 subjects (1580 ICU stays) as the case (hypotension) group and 1619 subjects (2279 ICU stays) as the control group. The RF model showed AUROC of 0.93 and 0.88 at 15 and 60 minutes respectively before hypotension, and AUPRC of 0.77 at 60 minutes before. Risk score trajectories revealed 80% and > 60% of cases predicted at 15 and 60 minutes before the hypotension, respectively. The stacked model with 15-minute lock-out produced on average 0.79 alerts/subject/hour (sensitivity 92.4%). Conclusion. Clinically significant hypotension events in the ICU can be predicted at least 1 hour before the initial hypotension episode. Developing a high-sensitive and reliable practical alert system is feasible, with low rate of alerts.
Process planning of the automatic polishing of the curved surface using a five-axis machining tool
Authors: Zhang Lei , Ding Chen , Fan Cheng , Zhang Lei , Wang Qian , Wang Kejun 
Published: July 2020

Abstract
Curved surface parts are widely used in aerospace, automotive, electronic products and other fields due to their excellent aerodynamics, fluid dynamics and thermodynamics. Compared with the modeling technology of the curved surface, the development of the processing technology of the curved surface is slightly behind. In order to improve the processing quality and processing efficiency of the curved surface, this paper independently developed a five-axis CNC polishing machine tool, and studied the pre-processing and the post-precessing when machining the curved surface. Taking a metal shell of the mobile phone as an example, three different paths are planned for the flat surface and the curved surface respectively, and a method for generating the tool path is proposed. The kinematics model of the five-axis CNC machine tool is established, which is used to obtain the calculation formula of the movement amount of each axis when polishing in the flat surface and the curved surface of the metal shell. Finally, the polishing effects of the different paths about the surface quality and the polishing efficiency of the metal shell are studied through the polishing experiments, and the polishing path with the best surface quality and the highest polishing efficiency is found.
Contribution to the peripheral vasculopathy and endothelial cell dysfunction by CXCL4 in Systemic Sclerosis
Authors: Jiang Zhixing , Chen Chen , Yang Sen , He Hang , Zhu Xiaoxia , Liang Minrui 
Published: July 2020

Abstract
Objective CXCL4, a chemokine with antiangiogenic property, is reported to be involved in systemic sclerosis (SSc) related pulmonary arterial hypertension (PAH). We investigated the contribution of CXCL4 to SSc development by focusing on the correlation of circulatory CXCL4 levels with their peripheral vasculopathy, as well as the effect of CXCL4 on endothelial cell dysfunction and angiogenesis disturbance in SSc and the potential signaling.MethodsWe measured the serum CXCL4 levels in 58 patients with SSc, 10 patients with the very early diagnosis of SSc (VEDOSS), and 80 healthy controls. Then, CXCL4 levels were correlated with their clinical features, especially the peripheral vasculopathy. These observations were further validated in an additional cohort including 50 SSc patients, 12 VEDOSS patients, and 80 healthy controls. Moreover, we studied the anti-angiogenesis effects and the underlying signaling of CXCL4 in human umbilical vein endothelial cells (HUVECs) in vitro. ResultsCirculating levels of the CXCL4 were 103.62% higher in patients with SSc and 201.51 % higher in patients with VEDOSS than matched HCs, and these observations were confirmed in two independent cohorts. CXCL4 levels were closely associated with digital ulcers (DU) and nailfold video capillaroscopy (NVC) abnormalities in SSc. The proliferation, migration, and tube formation of HUVECs were significantly inhibited by recombinant human CXCL4 or SSc derived serum, which reversed by CXCL4 neutralizing antibody, but not CXCR3 inhibitor. CXCL4 downregulated the transcription factor Friend leukaemia integration factor‐1 (Fli-1) via c-Abl signaling. Furthermore, CXCL4 blocked the transforming growth factor (TGF) -β or platelet-derived growth factor (PDGF) induced cell proliferation of HUVECs. Conclusions CXCL4 may contribute to peripheral vasculopathy in SSc by downregulating Fli-1 via c-Abl signaling in endothelial cells and interfering angiogenesis.
Remote Health Monitoring System for Bedbound Patients
Authors: Alizadeh Mostafa , Shaker George , Safavi-Naeini Safieddin 
Published: July 2020

Abstract
There are many patients who require continuous monitoring of vital signs and their sleep position such as bedbound patients and hospitalized patients. Also, in some cases, like COVID-19, it is critical for a caregiver to keep a safe distance to the patient. For remote monitoring, radar technologies have been shown to be promising. Thus, in this paper, we present a novel solution for the remote breath and sleep position monitoring by using a multi-input-multi-output (MIMO) radar. Our proposed system could monitor a number of people simultaneously, and therein we use a high-resolution direction of arrival (DOA) detection for finding close targets. Furthermore, the sleep position of each target is determined using a support vector machine (SVM) classifier. The breath analysis involves designing an optimum filter for estimating both the breathing rate and the noiseless breathing waveform. Furthermore, we tested the system by hand-made targets and real human targets. The radar placed in a bedroom environment above a bed where two subjects were sleeping next to each other. For the breathing rate, the accuracy of the radar is more than 97% for human subjects compared with a reference sensor. Also, the sleep position correct detection is more than 83%.
A Palindromic RNA Sequence as Common Breakpoint Contributor to Copy-choice Recombination in SARS-CoV-2
Authors: Gallaher William R. 
Published: July 2020

Abstract
Much remains unknown concerning the origin of the novel pandemic Coronavirus that has raged across the globe since emerging in Wuhan of Hubei province, near the center of the People’s Republic of China in December of 2019. All current strains of Coronaviridae have arisen by a combination of incremental adaptive mutations, against the backdrop of many recombinational events throughout the past, rendering each a unique mosaic of RNA sequence from diverse sources. The consensus among virologists is that the base sequence of the novel coronavirus, designated SARS-CoV-2, was derived from a common ancestor of a bat coronavirus, represented by the strain RaTG13 isolated in Yunnan province in 2013. Into that ancestral genetic background, several recombination events have since occurred from other divergent bat-derived coronaviruses, resulting in localized discordance between the two. One such event left SARS-CoV-2 with a receptor binding domain (RBD) capable of binding the human ACE-2 receptor lacking in RaTG13, and a second event uniquely added to SARS-CoV-2 a site specific for furin, capable of efficient endoproteolytic cleavage and activation of the spike glycoprotein responsible for virus entry and cell fusion. This paper demonstrates by bioinformatic analysis that such recombinational events are facilitated by short oligonucleotide “breakpoint sequences”, similar to CAGAC, that direct recombination naturally to certain positions in the genome at the boundaries between blocks of RNA code and potentially RNA structure. This “breakpoint sequence hypothesis” provides a natural explanation for the biogenesis of SARS-CoV-2 over time and in the wild.
Long Non-Coding RNA FAM83H-AS1 Acts as a Potential Oncogenic Driver in Human Ovarian Cancer
Authors: Yuan Xiaolei , Huang Ying , Guo Man , Hu Xiaowei , Li Peiling 
Published: July 2020

Abstract
Objective Ovarian cancer (OC) is one of the most aggressive women cancers with increasing incidence and mortality rates worldwide. Long non-coding RNAs (lncRNAs) could as major players in OC process. Although FAM83H antisense RNA1 (FAM83H-AS1) is demonstrated play an important roles in a many cancers, the detailed function and mechanism has not been reported in OC. Results We integrated multiple kinds of bioinformatics approaches and experiments validated method to evaluate functions of FAM83H-AS1 in OC. Some differential expressed lncRNAs were identified between OC and normal control tissues. FAM83H-AS1 was one of most differentially expressed lncRNAs and up-regulated in multiple cancer types. Specially, expression of FAM83H-AS1 was higher in OC and showed difference in diverse stages. High FAM83H-AS1 expression is associated with worse pan-cancer and OC outcomes. FAM83H-AS1-centric network including lncRNA-miRNA, lncRNA-protein and lncRNA-mRNA ceRNA network were constructed to infer the function and mechanism of FAM83H-AS1. There were two methylation sites including cg01399317 and cg20519035 located at FAM83H-AS1. The methylation level of cg01399317 was correlated with gene expression of FAM83H-AS1. The expression level of FAM83H-AS1 was correlated with infiltration level of immune cell including macrophage, neutrphil and dendritic cell in OC patients. Lastly, qRT-PCR showed that the expression of FAM83H-AS1 was higher in OC tissues than normal control tissues. Conclusion Collectively, these results indicated that FAM83H-AS1 may act as an oncogenic driver and it may be a potential therapy target in OC.
Prevalence of SARS-CoV-2 Infection in the Obstetric Population at Admission: Results from a High-Volume Hospital Setting in the North of Italy
Authors: Franchi Massimo , Bosco Mariachiara , Barbieri Beatrice , Diani Erica , Cascio Giuliana Lo , Laganà Antonio Simone , Casarin Jvan , Garzon Simone , Sangaletti Marina 
Published: July 2020

Abstract
Based on the strong recommendation of the World Health Organization to implement testing for SARS-CoV-2, at our Department of Obstetrics and Gynecology in northeast Italy we started performing universal screening in the obstetric population prior to hospitalization. All pregnant women admitted at our department were tests for SARS-CoV-2 with a nasopharyngeal swab test based on the specific SARS-CoV-2 sequences amplification with reverse transcription polymerase chain reaction (RT-PCR) assay. From April 10th to May 25th (45 days), 473 women were tested, and 2 (0.42%) out of 473 patients were found positive to SARS-CoV-2 during the first three weeks when the numbers of infection were higher and social contacts reduced. No patients reported either respiratory or gastrointestinal symptoms. After comparison with other reports, our results suggest a reduction in the prevalence of SARS-CoV-2 in the obstetric population related to both the trend over time and space of the infection spread and the effect of control measures. The identification of only asymptomatic patients appears supporting the implementation of universal screening instead of a test performed based on anamnestic information or symptoms to identify patients with SARS-CoV-2.