bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simultaneously Enhancing Aggregation-Induced Emission and Boosting Two-Photon Absorption Performance of Perylene Diimides through Regioisomerization
Authors: Xu Liang , Long Xueting , Deng Ziqi , Yang Sirui , Wu Jieyu , Yin Lingfeng , Jiang Xiaofang , Lu Fushen , Li Ming-De , Zhang Qichun 
Published: November 2021

Abstract
The integration of aggregation-induced emission (AIE) and two-photon absorption (2PA) into one molecule is very important because such combination would endow the material with synergetic effect for diverse and broader applications. Herein, two regioisomers based on perylene diimide and anthracene moieties are designed and synthesized. The as-prepared compounds exhibit distinct AIE and 2PA properties, where the ortho-substituted one not only exhibits enhanced and accelerated AIE performance, but also displays improved 2PA properties. This research would provide a general approach to explore efficient molecules by the marriage of AIE and 2PA that could improve their performance in various areas.
The Infusion of Human Serum Albumin had no Benefit on Acute Pancreatitis Therapy: An Analysis of Patients in Two Observational Cohorts
Authors: Ma Yifei , Yan Tianao , Xu Fengshuo , Ding Jiachun , Yang Bao , Ma Qingyong , Wu Zheng , Lyu Jun , Wang Zheng 
Published: November 2021

Abstract
Objective: Human serum albumin (HSA) infusion is a common administration in acute pancreatitis patients in the Intensive Care Unit (ICU), but its actual association with patients' outcomes has not been confirmed. The study was aimed to determine whether the in-hospital prognosis of ICU patients with acute pancreatitis could benefit from albumin infusion. Methods: 950 acute pancreatitis patients diagnosed in 2008-2019 were extracted from the MIMIC-IV database as our primary study cohort. The primary outcome was in-hospital mortality. We also performed an external validation with a cohort of 104 acute pancreatitis patients after PSM matching from the eICU database. Results: In MIMIC-IV, 228 acute pancreatitis patients received HSA infusion (Alb group) during their hospitalization, while 722 patients did not (non-Alb group). Patients in the Alb group presented a poorer survival curve than the non-Alb group, while this difference disappeared after PSM or IPTW matching (log-rank test: PSM: p = 0.660, IPTW: p = 0.760). After including covariates, no association was found between albumin infusion and patients' in-hospital mortality before and after matching (original cohort: HR: 1.00, 95% CI: 0.66–1.52, p = 0.998). HSA infusion also did not benefit patients' 28-day or ICU mortality, while it significantly prolonged their duration in hospital and ICU. In addition, the initial serum albumin levels, infections or the amount of total albumin infusion did not affect the conclusion. Finally, in the eICU cohort, albumin infusion was still not a beneficial prognostic factor on patients' in-hospital mortality ( p = 0.087).Conclusion: Intravenous albumin infusion could not benefit acute pancreatitis patients' in-hospital prognosis and possibly prolong the hospital or ICU duration.
Elevated pausing of RNA Polymerase II underlies acquired resistance to ionizing radiation
Authors: Yuan Kai , Liu Honglu , Yu Chunhong , Zhang Na , Meng Yang , Huang Canhua , Hu Chunhong , Chen Fang , Hu Xueying , Zhang Zhuohua 
Published: November 2021

Abstract
As the mainstay modality for many malignancies, ionizing radiation (IR) induces a variety of lesions in genomic DNA, evoking a multipronged DNA damage response to interrupt many cellular processes including transcription. How the global transcription cycle is altered by IR and whether it is contributing to the development of IR-resistance remain unaddressed. Here we report a genome-wide accumulation of paused RNA Polymerase II (RNAPII) after IR exposure. This increased pausing is partially maintained in cells acquired IR-resistance, notably on genes involved in radiation response and cell cycle, often leading to their downregulation. Individual knockdown some of these genes such as TP53 and NEK7 endows IR-sensitive cells with varying degrees of resistance, highlighting a novel link between elevated RNAPII pausing and the acquisition of IR-resistance. Accordingly, tuning-down the RNAPII pausing level by inhibiting CDK7 reverses IR-resistance both in cell culture and xenograft models. Our results suggest that modulation of the transcription cycle is a promising strategy to increase IR-sensitivity and thwart resistance.
The Intelligent Regulation Model of Oxytocin for Women Having Vaginal Birth After Cesarean Section
Authors: Hu Tingting , Zhang Yichao , Gao Rong , Li Jianhong , Yuan Zhengming , Lu Zhongqiu , Zhu Xiaoling 
Published: November 2021

Abstract
Objective: To build an intelligent regulation model of oxytocin (OT) for women having a vaginal birth after cesarean section (VBAC) and further explore the intelligent and precise regulation of the scheme of the OT medication at delivery. Methods: A cross-sectional study design was used by collecting the data of the VBAC parturitions who delivered in the Obstetrics Department of the First Affiliated Hospital of Wenzhou Medical University from January 2014 to May 2020 and used the OT during the labor process. The multiple linear regression was used to analyze the modeling variables from the electronic medical records and the variables such as fetal heart rate (FHR) and uterine contraction (UC) frequency extracted from the cardiotocography. The OT drip speed predictive model was established based on the XGBoost algorithm and was compared using the logistic regression model and traditional decision tree. The data set was divided into the training set and test set at the 8:2 ratio, and the predictive performance of the model was evaluated for the accuracy, precision, recall rate, and F1 score. Results: A total of 1005 records with oxytocin regulation were included from 124 parturitions involving the VBAC. The XGBoost model performed the best prediction. Through the five fold crossover operation, the accuracy was 0.82, precision was 0.84, the recall rate was 0.80, and the F1 value was 0.82. Among them, the contraction duration, uterine pressure, FHR, UC frequency, and interval time from the previous cesarean section were the variables with great contribution to the modeling.Conclusion: This study constructed an OT regulation model based on the XGBoost, which recognized that the real-time intelligent regulation of the prenatal OT, with fast response speed, high model accuracy, and strong extrapolation had positive significance to obstetric clinical nursing.
Fast nonlinear model predictive planner and control for an unmanned ground vehicle in the presence of disturbances and dynamic obstacles
Authors: Khan Subhan , Guivant Jose 
Published: November 2021

Abstract
This paper presents a solution for the tracking control problem, for an unmanned ground vehicle (UGV), under the presence of skid-slip and external disturbances in an environment with static and moving obstacles. To achieve the proposed task, we have used a path-planner which is based on fast nonlinear model predictive control (NMPC); the planner generates feasible trajectories for the kinematic and dynamic controllers to drive the vehicle safely to the goal location. Additionally, the NMPC deals with dynamic and static obstacles in the environment. A kinematic controller (KC) is designed using evolutionary programming (EP), which tunes the gains of the KC. The velocity commands, generated by KC, are then fed to a dynamic controller, which jointly operates with a nonlinear disturbance observer (NDO) to prevent the effects of perturbations. Furthermore, pseudo priority queues (PPQ) based Dijkstra algorithm is combined with NMPC to propose optimal path to perform map-based practical simulation. Finally, simulation based experiments are performed to verify the technique. Results suggest that the proposed method can accurately work, in real-time under limited processing resources.
Construction of a circRNA - Mediated ceRNA Network Reveals Novel Biomarkers for Aortic Dissection
Authors: Liu De-Bin , He You-Fu , Chen Gui-Jian , Huang Hua , Xie Xu-Ling , Lin Wan-Jun , Peng Zhi-Jian 
Published: November 2021

Abstract
Background
Aortic dissection (AD) is a rare and lethal disorder with its genetic basis remains largely unknown. Many studies have confirmed that circular RNAs (circRNAs) play important roles in various physiological and pathological processes. However, the roles of circRNAs in AD are still unclear and need further investigation. The present study aimed to elucidate the underlying molecular mechanisms of circRNAs regulation in aortic dissection based on the circRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network.
Methods
Expression profiles of circRNAs (GSE97745), miRNAs (GSE92427), and mRNAs (GSE52093) were downloaded from Gene Expression Omnibus (GEO) databases, and the differentially expressed RNAs (DERNAs) were subsequently identified in AD by bioinformatics analysis. Further bioinformatics analyses, including circRNA-miRNA-mRNA ceRNA network, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, were used to predict the potential functions of circRNA-associated ceRNA regulatory network. RNA was isolated from human arterial blood samples after which quantitative real-time PCR (qRT-PCR) was performed to confirm the DERNAs.
Results
We identified 14 (5 up-regulated and 9 down-regulated) differentially expressed circRNAs (DEcircRNAs), 17 (8 up-regulated and 9 down-regulated) differentially expressed miRNAs (DEmiRNAs) and 527 (297 up-regulated and 230 down-regulated) differentially expressed mRNAs (DEmRNAs) when AD samples were compared with normal ascending aorta samples (adjusted P-value < 0.05 and | log2FC |> 1.0). KEGG pathway analysis indicated that DEmRNAs were related to focal adhesion and extracellular matrix (ECM) receptor interaction signaling pathways. Simultaneously, the present study successfully constructed a ceRNA regulatory network based on 1 circRNAs (hsa_circRNA_082317), 1 miRNAs (hsa-miR-149-3p) and 10 mRNAs (MLEC, ENTPD7, SLC16A3, SLC7A8, TBC1D16, PAQR4, MAPK13, PIK3R2, ITGA5, SERPINA1) in AD. Furthermore, qRT-PCR demonstrated that hsa_circRNA_082317 andα5 integrin (ITGA5) were significantly up-regulated in AD (n = 3), and hsa-miR-149-3p was dramatically down-regulated in AD (n = 3). The expression of hsa-miR-149-3p target mRNA, ITGA5, was positively modulated by hsa_circRNA_082317.
Conclusion
This is the first study to demonstrate the circRNA-associated ceRNA regulatory network is altered in AD, implying that circRNAs may play important roles in regulating the onset and progression of AD and thus may serve as potential biomarkers for the diagnosis and treatment of AD.
Tanshinone ⅡA Enhances the Therapeutic Efficacy of Mesenchymal Stem Cells Derived Exosomes in Myocardial Ischemia/reperfusion Injury via Up-regulating miR-223-5p
Authors: Li Sheng , Li Lan , Guo Rui , Cao Weilong , Liu Zhihao , Zhang Jing , Liu Qianqian , Huang Yuting , Ma Chuanrui , Fan Guanwei 
Published: November 2021

Abstract
Background: Myocardial ischemia-reperfusion (I/R) injury is a serious obstacle for patients with coronary heart disease to benefit from post-ischemic reflow. After myocardial I/R injury, CCR2+-resident macrophages are rapidly activated and participate in the subsequent inflammatory response, whereas CCR2--resident macrophages play a major role in attenuating cardiac inflammation and promoting tissue repair. Mesenchymal stem cells (MSCs) have gradually become attractive candidates that aid in understanding the pathogenesis and progression of cardiovascular diseases. The low immunogenicity and low carcinogenicity of stem cell-derived exosomes offer advantage in treating myocardial injuries. In this study, we investigated whether MSC-derived exosomes pretreated with tanshinone IIA (TSA) could exhibit stronger cardioprotective function in an I/R rat model and explored its underlying mechanism. Methods: We investigated the effect of TSA-MSCexo on myocardial I/R injury in vivo. The overexpression of CCR2 in the rat heart was used to determine the regulatory role of CCR2 in I/R injury. High-throughput sequencing of MSCexo and TSA-MSCexo to screen differential genes to explore the mechanism of TSA-MSCexo's cardioprotective effect. Results: Compared with MSCexo, an intramyocardial injection of TSA-MSCexo was found to be more effective in rats in improving cardiac function, limiting the infarct size, inhibiting CCR2 activation, reducing monocyte infiltration and promoting angiogenesis in the heart after myocardial I/R. Moreover, CCR2 had a regulatory effect on monocyte infiltration and angiogenesis after I/R. Bioinformatics analysis and miRNA sequencing of MSCexo and TSA-MSCexo revealed miR-223-5p an effective candidate mediator for TSA-MSCexo to exert its cardioprotective function and CCR2 as the downstream target. Conclusion: In summary, our findings indicated that miR-223-5p packaged in TSA-MSCexo inhibited CCR2 activation to reduce monocyte infiltration and enhanced angiogenesis to alleviate myocardial I/R injury in rats. Thus, the development of an alternative therapy of TSA combined with stem cell-derived exosomes provides an effective strategy for the clinical therapies of ischemic cardiomyopathy.
Parallel processes of temporal control in the supplementary motor area and the frontoparietal circuit
Authors: Wang Xuanyu , Shi Shunyu , Bao Yan 
Published: November 2021

Abstract

Durations in the several seconds' range are cognitively accessible during active timing. Functional neuroimaging studies suggest the engagement of basal ganglia (BG) and supplementary motor area (SMA). However, their functional relevance and arrangement remain unclear because non-timing cognitive processes temporally coincide with the active timing. To examine the potential contamination by parallel processes, we introduced a sensory control and a motor control to the duration reproduction task. By comparing their hemodynamic functions, we decomposed the neural activities in multiple brain loci linked to different cognitive processes. Our results show a dissociation of two cortical neural circuits: the SMA for both active timing and motor preparation, followed by a prefrontal-parietal circuit related to duration working memory. We argue that these cortical processes represent duration as the content but at different levels of abstraction, while the subcortical structures including BG and thalamus provide the logistic basis of timing by coordinating temporal framework across brain structures.
A roadmap to better COVID-19 testing from the Coronavirus Standards Working Group
Authors: Mercer Tim , Almond Neil , Chain Patrick , Crone Michael , Deshpande Alina , Eveleigh Deepa , Freemont Paul , Fuchs Sebastien , Garlick Russell , Huggett Jim , Kammel Martin , Li Po-E , Milavec Mojca , Marlowe Elizabeth , O’Sullivan Denise , Page Mark , Pestano Gary , Suliman Sara , Simen Birgitte , Sninsky John , Sopchak Lynne , Tato Cristina , Vandesompele Jo , Vallone Peter , White Thomas , Zeichhardt Heinz , Salit Marc , mistake no 
Published: November 2021

Abstract
Testing has been central to our response to the COVID-19 pandemic. However, the accuracy of testing relies on standards, including reference materials, proficiency testing schemes, and information and reporting guidelines. The use of standards is a simple, inexpensive, and effective method to ensure reliable test results that inform clinical and public health decisions. Here we describe the central role of standards during the COVID-19 pandemic, where they have enabled population-scale screening, genomic surveillance and measures of immune protection measures. Given these benefits, the Coronavirus Standards Working Group (CSWG) was formed to coordinate standards in SARS-CoV-2 testing. This network of scientists has developed best-practices, reference materials, and conducted proficiency studies to harmonize laboratory performance. We propose that this coordinated development of standards should be prioritized as a key early step in the public health response to future pandemics that is necessary for reliable, large-scale testing for infectious disease.
The Effect Of Malignant Breast Tissue Stromal Cells On The Growth Of Cancer Cells And The Relationship Of miRNA
Authors: UÇAR Özlem SAĞLAM , SAĞLAM-UÇAR Özlem , DEĞİRMENCİ İrfan , HALBUTOĞULLARI Zehra Seda , PÖSTEKİ Gökhan , SUBAŞI-DEMİRCİ Cansu , ERMAN Gülay , KARAÖZ Erdal , UTKAN Nihat Zafer 
Published: November 2021

Abstract
Purpose

Inflammatory signals secreted from the tumor microenvironment are thought to promote tumor growth and survival. It has been reported that stromal cells in the tumor microenvironment have similar characteristics to tumor-associated cells. In addition to miRNAs play critical roles in various diseases, including cancer. In this study, we aimed to investigate the effects of co-culture of cancer cells and stromal cells isolated from normal and malignant breast tissue on each other and the possible effects of miRNAs on these interactions.
Methods

The characterized stromal cells were co-cultured with an MDA-MB-231 cancer cell line. The proliferation capacity of the experimental groups was evaluated using the WST-1 assay. The expression of breast cancer-specific miRNAs and related genes were assessed by real-time PCR. ELISA assay was performed to determine the concentration of some cytokines and chemokines.
Results

We found that the microenvironment plays an important role in the development of cancer, confirming the changes in the expression of oncogenic and tumor-suppressor miRNA and their target genes after co-culture with malignant stromal cells.
Conclusion

As a result of the studies, specific gene expressions of related signaling pathways were detected in correlation with miRNA changes and the effects of tumor microenvironment on tumorigenesis were revealed in detail. miRNAs have been shown to play an important role in cancer development in recent studies. The idea that these small molecules can be used in diagnosis and treatment is becoming stronger day by day. We believe that new treatment approaches involving the tumor microenvironment and using miRNAs as markers are promising.
WITHDRAWN: Elimination Study of Methylene Blue Dye Using PANI and PANI/SiO2 Composite.
Authors: Abderrahim BENSEDIRA , Nacerddine HADDAOUI , Rachida DOUFNOUNE , Ouahiba MEZIANE , Labidi N. S. 
Published: November 2021

Abstract
Conducting Polymeric composites have attracted great attention over the last years because of their potential uses in chemical, electronic and optical devices, and as catalysts as well as in adsorption processes. Chemical synthesis of polyaniline (PANI) and polyaniline-SiO2 composite and their adsorptive performance were reported in the present work. These materials were prepared and evaluated for their methylene blue (MB) dye adsorption characteristics from aqueous solution. Adsorption equilibrium kinetic and thermodynamic experiments of MB onto PANI and PANI/SiO2 were studied. The effects of initial dye concentration, contact time and temperature on the adsorption capacity of PANI/SiO2 for MB have been investigated. The pseudo-first order and pseudo-second order kinetic models were used to describe the kinetic data. It was found that adsorption kinetics followed the pseudo-second order at all of the studied temperatures. The Langmuir, Freundlich and Dubinin Raduschkevich adsorption models were used for the mathematical description and the fit obtained using the Dubinin Raduschkevich isotherm has a medium R2 value.
Forecasting Photosynthetic Photon Flux Density Under Cloud Effects: Novel Predictive Model Using Convolutional Neural Network Integrated With Long Short-term Memory Network
Authors: Deo Ravinesh C , Grant Richard H , Webb Ann , Ghimire Sujan , Igoe Damien P. , Downs Nathan J. , Al-Musaylh Mohanad S , Parisi Alfio V. , Soar Jeffrey 
Published: November 2021

Abstract
Forecast models of solar radiation incorporating cloud effects are useful tools to evaluate the impact of stochastic behaviour of cloud movement, real-time integration of photovoltaic energy in power grids, skin cancer and eye disease risk minimisation through solar ultraviolet (UV) index prediction and bio-photosynthetic processes through the modelling of solar photosynthetic photon flux density (PPFD). This research has developed deep learning hybrid model (i.e., CNN-LSTM) to factor in role of cloud effects integrating the merits of convolutional neural networks with long short-term memory networks to forecast near real-time (i.e., 5-minute) PPFD in a sub-tropical region Queensland, Australia. The prescribed CLSTM model is trained with real-time sky images that depict stochastic cloud movements captured through a Total Sky Imager (TSI-440) utilising advanced sky image segmentation to reveal cloud chromatic features into their statistical values, and to purposely factor in the cloud variation to optimise the CLSTM model. The model, with its competing algorithms (i.e., CNN, LSTM, deep neural network, extreme learning machine and multivariate adaptive regression spline), are trained with 17 distinct cloud cover inputs considering the chromaticity of red, blue, thin, and opaque cloud statistics, supplemented by solar zenith angle (SZA) to predict short-term PPFD. The models developed with cloud inputs yield accurate results, outperforming the SZA-based models while the best testing performance is recorded by the objective method (i.e., CLSTM) tested over a 7-day measurement period. Specifically, CLSTM yields a testing performance with correlation coefficient r = 0.92, root mean square error RMSE = 210.31 μ mol of photons m-2 s-1, mean absolute error MAE = 150.24 μ mol of photons m-2 s-1, including a relative error of RRMSE = 24.92% MAPE = 38.01%, and Nash Sutcliffe’s coefficient ENS = 0.85, and Legate & McCabe’s Index LM = 0.68 using cloud cover in addition to the SZA as an input. The study shows the importance of cloud inclusion in forecasting solar radiation and evaluating the risk with practical implications in monitoring solar energy, greenhouses and high-value agricultural operations affected by stochastic behaviour of clouds. Additional methodological refinements such as retraining the CLSTM model for hourly and seasonal time scales may aid in the promotion of agricultural crop farming and environmental risk evaluation applications such as predicting the solar UV index and direct normal solar irradiance for renewable energy monitoring systems.