bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Closed-Loop Brain-Computer Interface with Augmented Reality Feedback for Industrial Human-Robot Collaboration
Authors: Ji Zhenrui , Liu Quan , Xu Wenjun , Yao Bitao , Liu Jiayi , Zhou Zude 
Published: March 2021

Abstract
Industrial human-robot collaboration (HRC) aims to combine the human intelligence and robotic capability to achieve the higher productiveness. In industrial HRC, the communication between human and robot is essential to enhance the understanding the intent of each other to make a more fluent collaboration. Brain-computer interface (BCI) is a technology that could record the user’s brain activity that can be translated into interaction messages (e.g., control commands) to the outside world, which is able to build a direct and efficient communication channel between human and robot. However, due to lacking of information feedback mechanism, it is challenging for BCI to control robots with high degree of freedom with the limited number of classifiable mental state. To address this problem, this paper proposes a close-loop BCI with contextual visual feedback by an augmented reality (AR) headset. In such BCI, the electroencephalogram (EEG) patterns from the multiple voluntary eye blinks are considered as the input and the its online detection algorithm is proposed whose average accuracy can reach 94.31%. Moreover, an AR-enable information feedback interface is designed which enable to achieve an interactive robotic path planning. A case study of an industrial HRC assembly task is also develop which shows that the proposed closed-up BCI could shorten the time of user input in human-robot interaction.
Have the same pathogenicity of Ureaplasma Parvum and Ureaplasma Urealyticum in non-specific cervicitis? -based on digital droplet PCR assay
Authors: Huang Yanfang , Xu Xiaoqin , Lv Panpan , Zhao Zhen 
Published: March 2021

Abstract
Background: Ureaplasma spp. are association with a various of infectious diseases in female, but it still limited evidence for the pathogenicity in nonspecific cervicitis. The aim of this study was to develop and evaluate a digital droplet PCR (ddPCR) assay for quantified the load of Ureaplasma spp in cervical swabs. Methods: A total of 293 non-specific cervicitis (NSC) patients and 211 asymptomatic female fulfilled the inclusion criteria. Cervical swabs were identified by qPCR and further absolutely quantified by ddPCR. Results: The prevalence of U.parvum were 51.9% (152/293) and 46.9% (99/211); while U.urealyticum were 8.2% (24/293) and 8.1% (17/211) in the NSC and Control group, respectively. In addition, the average Ct value and median copy number per microliter of U.parvum were 31.33 (n=152) and 599 (n=48) in the NSC group and 33.68 (n=99) and 17.4 (n=33) in control group, respectively, suggest that the load of U.parvum of NSC group were significantly higher than the asymptomatic individual (P<0.001). But, the median load number of U.urealyticum were 1.26 (n=22) and 5.35 (n=14) copies per microliter two groups, the difference was no statistical significance (P>0.05). Conclusions: our study suggests that often carrying U.parvum at a high load but not U.urealyticum may have an important implications on the development and progression of cervicitis among female.
Quantitative trait loci and candidate genes associated with photoperiod sensitivity in lettuce (Lactuca spp.)
Authors: Han Rongkui , Lavelle Dean , Truco Maria José , Michelmore Richard 
Published: March 2021

Abstract
The molecular mechanism of flowering time regulation in lettuce is of interest to both geneticists and breeders because of the extensive impact of this trait on agricultural production. Lettuce is a facultative long-day plant which changes in flowering time in response to photoperiod. Variations exist in both flowering time and the degree of photoperiod sensitivity among accessions of wild (Lactuca serriola) and cultivated (L. sativa) lettuce. An F6 population of 236 recombinant inbred lines (RILs) was previously developed from a cross between a late-flowering, photoperiod-sensitive L. serriola accession and an early-flowering, photoperiod-insensitive L. sativa accession. This population was planted under long-day (LD) and short-day (SD) conditions in a total of four field and screenhouse trials; the developmental phenotype was scored weekly in each trial. Using genotyping-by-sequencing (GBS) data of the RILs, quantitative trait loci (QTL) mapping revealed five flowering time QTLs that together explained more than 20% of the variation in flowering time under LD conditions. Using two independent statistical models to extract the photoperiod sensitivity phenotype from the LD and SD flowering time data, we identified an additional five QTLs that together explained more than 30% of the variation in photoperiod sensitivity in the population. Orthology and sequence analysis of genes within the nine QTLs revealed potential functional equivalents in the lettuce genome to the key regulators of flowering time and photoperiodism, FD and CONSTANS respectively, in Arabidopsis.
Functional Network Connectivity Imprint in Febrile Seizures
Authors: Acharya Ullas V , Kulanthaivelu Karthik , Panda Rajanikant , Saini Jitender , Gupta Arun K , Sankaran Bindu Parayil , Kenchaiah Raghavendra , Mundlamuri Ravindranath Chowdary , Sinha Sanjib , Keshavamurthy Mysore Lakshmikanta , Bharath Rose Dawn 
Published: March 2021

Abstract
Complex febrile seizures (CFS), a subset of paediatric febrile seizures (FS), have been studied for their prognosis, epileptogenic potential and neurocognitive outcome. We evaluated their functional connectivity differences with simple febrile seizures (SFS) in children with recent onset FS. Resting-state fMRI (rs-fMRI) datasets of 24 children with recently diagnosed FS (SFS-n=11; CFS-n=13) were analysed. Functional connectivity (FC) was estimated using time series correlation of seed region–to-whole-brain-voxels. Regional connectivity differences were correlated with clinical characteristics (corrected p < 0.05). CFS patients demonstrated increased FC of the bilateral middle temporal gyri (MTG), left supplementary cortex when compared to SFS. Decreased FC of the primary sensory areas and Default mode network regions were observed in the CFS. Number of recurrent febrile seizures positively correlated with FC of bilateral MTG and negatively correlated with left Supplementary Motor. Duration of longest febrile seizure correlated positively with connectivity of right MTG and left supplementary motor cortex. It also negatively correlated with connectivity of bilateral post central gyrus and Precuneus. Our findings report altered connectivity in CFS proportional to the seizure recurrence and duration. Regardless of the causal/consequential nature, such observations demonstrate the imprint of these disease-defining variables of febrile seizures on the developing brain.
A Mechanistic insight into chemical cues and interactions involved in herbivory induced jasmonate mediated plant defense mechanism
Authors: Yousafi Qudsia , Hafeez Amina , Khan Muhammad Saad , Bibi Shabana , Shah Muhammad Ajmal , Liaqat Maryam , Saleem Shahzad , Sajid Muhammad Wasim , Mehmood Asim , Alqarni Mohammed , Blundell Renald 
Published: March 2021

Abstract
The first step in plant defense mechanism is to sense the insect attack stimulus. Plant sensitivity of an insect attack is the first step of defense. Molecules generated by the oral secretion of the insect interact with the plant receptors to trigger plant defense mechanisms. We selected some highly cited insect elicitors molecules, volicitin, caeliferin, bruchin which interact with plant defense by interacting with plant elicitors (systemin, inceptin and peps) located on the plant cell surface. This interaction activates plant receptors SYR1, LRR, PEPR and triggers downstream defense signaling. The octadecanoid pathways, involving enzymes allene oxide synthase (AOS) and Hydroxyperoxide lyase (HPL) are activated. These enzymes mediate production of green leafy volatiles and Jasmonic acid by interacting with hydroxperoxide molecules. We docked the elicitors with receptors and enzymes with substrates in the pathway of JA production. Phe was found to be an important amino acid that interacts with 13- hydroxyperoxides in the case of AOS to produce JA but not in the case of HPL. JA is converted to JA-Ile which shows strong binding with COI1 and COI1-JA-Ile complex docked with JAZ which showed strong interaction with five hydrogens and one salt bridge bond. AOS and HPL showed less than 40% identity for sequence and structure alignment. AOS and HPL had shown an interaction between each other and showed a common interaction partner of the Lipoxygenase family. HPL shows interaction with ADH2 (Alcohol dehydrogenase) involved in GLVs production. AOS also showed interaction partner AOC, COI1 and OPR1 which are involved in JA-induced plant defense mechanism.
Genetic alterations and functional networks of m6A RNA methylation regulators in pancreatic cancer based on data mining
Authors: Zeng Juan , Zhang Heying , Tan Yonggang , Wang Zhe , Li Yunwei , Yang Xianghong 
Published: March 2021

Abstract
Background
Pancreatic cancer is a fatal malignancy of the digestive system and the 5-year survival rate remains low. Therefore, new molecular therapeutic targets are required to improve treatments, prognosis, and the survival of patients. N6-methyladenosine (m6A) is the most prevalent reversible methylation in mammalian messenger RNA (mRNA) and has critical roles in the tumorigenesis and metastasis of various malignancies. However, the role of m6A in pancreatic cancer is still unclear. Exploring genetic alterations and functional networks of m6A regulators in pancreatic cancer may provide new strategies for its treatment.
Methods
In this study, we used data from the Cancer Genome Atlas (TCGA) database and other public databases through cBioPortal, LinkedOmics, UALCAN, GEPIA, STRING, and the database for annotation, visualization, and integrated discovery (DAVID) to systematically analyze the molecular alterations and functions of 20 main m6A regulators in pancreatic cancer.
Results
We found that m6A regulators had widespread genetic alterations, and that their expression levels were significantly correlated with pancreatic cancer malignancy. Moreover, m6A regulators were associated with the prognosis of pancreatic cancer patients.
Conclusions
m6A regulators play a crucial part in the occurrence and development of pancreatic cancer. Our study will guide further studies of m6A RNA modification in pancreatic cancer and could potentially provide new strategies for pancreatic cancer treatment.
Hierarcal porous polystyrene-based activated carbon spheres for CO2 capture
Authors: Ren Xiaoxia , Zhang Changming , Kou Lifang , Wang Rongxian , Wang Yaqi , Li Rui 
Published: March 2021

Abstract
Activated carbon spheres with high specific surface area and hierarcal porous texture were prepared from polystyrene-based macroreticular resin spheres by air pre-oxidization and steam activation. The as-prepared carbon spheres had a specific surface area of 1274.95 m2 g− 1, total pore volume of 1.09 cm3 g− 1 and micropore volume of 0.47 cm3 g− 1. Moreover, these carbon spheres showed a hierarcal porous texture composed of ultrafine micropores (0.5-1 nm), micropores (1–2 nm), mesopores (10–50 nm) and macropores (50–100 nm). A CO2 adsorption capacity of 2.82 mmol g− 1 for carbon spheres can be obtained at 30 ℃ and 1 atm. Further, after introducing nitrogen-containing functional groups by gaseous ammonia at 600 ℃, these carbon spheres exhibited a high CO2 adsorption capacity of 3.2 mmol g− 1. In addition, excellent cyclic stability, low hygroscopicity and regenerability temperature suggested these carbon spheres were favorable for CO2 capture.
Evaluation of a Multi-disciplinary Medical Model in Vancomycin Treatment in Chinese Adult Patients: A Randomized Controlled Trial
Authors: Ma Lingyun , Zhou Ying , Chen Chaoyang , Gao Feifei , Li Xueying , Que Chengli , Jiao Hongmei , Li Shuangling , Zheng Xizi , Lv Jicheng , Cui Yimin , Yang Li 
Published: March 2021

Abstract
Background

Acute kidney injury (AKI) is a common adverse drug reaction of vancomycin which is associated with increased mortality and morbidity. To investigate the roles of a multi-disciplinary medical model in preventing vancomycin-induced AKI (VI-AKI) through a standardized clinical path.

Methods

This study was a single center open-label randomized clinical trial which included adult pneumonia patients using vancomycin in Peking University First Hospital. In the intervention group (multi-disciplinary medical model), a standardized clinical path was conducted as (1) pharmacists-driven PopPK formula-based vancomycin regimen. (2) pharmacists-driven TDM monitor. (3) physicians-driven SCr monitor. (4) nephrologists-driven multi-disciplinary kidney protection. Pharmacists or nephrologists did not intervene patients’ treatment in the control group (routine medical model). The primary outcome was the incidence of VI-AKI.

Results

145 patients including 72 in the intervention arm and 73 in the control arm, aged 69.0 (60.0-79.0) years with male in 74.5%, were included in the outcome analysis. The incidence of AKI was 23.6% (17/72) in the intervention arm and 34.2% (25/73) in the control arm (P=0.16). Among the 57 patients in the intervention arm who accepted PopPK based vancomycin regimen, AKI incidence was significantly decreased compared to patients in the control arm (15.8% vs. 34.2%, P=0.02).

Conclusions

Intervention with a multi-disciplinary medical model through standardized clinical path has the potential to reduce the incidence of VI-AKI. Multicenter and large sample size studies are warranted.

Trial registration

This trial was registered with chictr.org (number ChiCTR1900021115, http://www.chictr.org.cn/edit.aspx?pid=353 76&htm=4) on 29th Jan 2019 by retrospective registration.
Expression and correlation of circulating miRNAs in healthy obese children
Authors: Ma Feifei , Cao Dingding , Liu Zhuo , Li Yuanyuan , Ouyang Shengrong , WU Jianxin 
Published: March 2021

Abstract
Background

Obesity is an important risk factor of metabolic diseases. It is caused by the interaction of genetic, epigenetic, and environmental factors. This study aimed to identify specific circulating miRNAs for evaluating obesity in children.
Methods

Thirty children including 15 obese and 15 extremely thin were selected. The miRNA microarray was used to detect the expression of miRNAs in circulating plasma. The reliability of differential miRNA expression was verified using TaqMan qPCR. The correlation between miRNA and obesity was analyzed using multiple linear regression. Target genes for selected miRNAs were analyzed using informatics tools, and a functional network map was constructed.
Results

Thirty-six differential expression miRNAs were screened by gene chip, and seven up-regulated miRNAs were verified by TaqMan qPCR, including hsa-miR-126-3p, hsa-miR-15b-5p, hsa-miR-199a-3p, hsa-miR-20a-5p, hsa-miR-223-3p, hsa-miR-23a-3p, and hsa-miR-24-3p. Six miRNAs had significant statistical difference except hsa-miR-23a-3p. Multiple linear regression analysis showed that hsa-miR-15b-5p and hsa-miR-223-3p were associated with obesity [1.649 (4.974–16.084), -1.175 (-17.852~ -2.657)]. After adjusting for age and gender, these two miRNAs were still associated with obesity [1.400 (3.572–14.301), -0.973 (-15.634~ -1.303)]. Among them, hsa-miR-15b-5p and hsa-miR-223 had more predicted obesity-related target genes than others. In particular, hsa-miR-15b-5p had numerous target genes associated with the FoxO, insulin, Ras, and AMPK signaling pathways.
Conclusions

The miRNA expression profile in the body circulation of obese children differs from normal children. This result is attributed to the abnormal metabolism of obese children. hsa-miR-15b-5p and hsa-miR-223-3p could serve as a molecular marker for screening obese children and susceptible population of metabolic syndrome.
Removal of invasive Scotch broom increases its negative effects on soil and plant communities
Authors: Slesak Robert , Harrington Timothy , D'Amato Anthony , Peter David 
Published: March 2021

Abstract
Scotch broom is an aggressive invasive species of major concern in coast Douglas-fir forests of the Pacific Northwest USA. Control efforts are common, but potential for ecosystem recovery following Scotch broom removal is unclear. We assessed the potential for ecosystem recovery following broom removal at two sites that contrasted strongly in soil quality (i.e., texture and nutrient pool size) in western Washington and Oregon. Comparisons were made among replicated plots where Scotch broom was never present (uninvaded), retained, or removed. Microclimate (photosynthetically active radiation (PAR), soil temperature and moisture), soil properties, and vegetation were monitored during 2013 to 2017. Scotch broom removal increased PAR and soil temperature at both sites but had limited effects on soil moisture. Concentrations of Ca, Mg, K, and P were significantly lower with Scotch broom removal compared to the uninvaded and retained treatments, with the effect being most pronounced at the low-quality site. NMS ordinations indicated that the treatments differed in vegetation composition, with limited evidence for recovery in the removal treatment. Nonnative and native species varied inversely in their abundance responses, where nonnative species abundance was greatest in the removal treatment, intermediate in the retained treatment, and lowest in the uninvaded treatment, indicating occurrence of a secondary invasion following removal. As with the soil response, effects were more pronounced at the low-quality site. Our findings indicate that Scotch broom removal exacerbates negative effects on soil and plant communities, with little evidence of ecosystem recovery over our study period. These findings highlight the importance of controlling Scotch broom invasions immediately after the species establishes, especially at low-quality sites that are more susceptible to Scotch broom invasion and negative legacy effects.
Identification of immune-infiltrated hub genes as potential biomarkers of Moyamoya disease by bioinformatics analysis
Authors: Jin Fa , Duan Chuanzhi 
Published: March 2021

Abstract
Background Moyamoya disease (MMD) is a unique chronic progressive cerebrovascular disease. The molecular mechanism behind pathophysiology is still elusive. This study aims to determine the key genes and their roles in the immune infiltration of MMD.Methods We download raw gene expression profiles (GSE157628, GSE141024) of cerebrovascular tissue from GEO database. Identify differentially expressed genes (DEGs) and perform functional enrichment analysis. The CIBERSORT deconvolution algorithm was used to analyze the proportion of immune cell infiltration between MMD and negative control group. We screened for neutrophil-associated DEGs, constructed a protein-protein interaction network (PPI) using STRING, and clarified hub genes using the Cytoscape plugin MCODE analysis. The receiver operating characteristic (ROC) curve is applied to test and filter the best gene signature.Results A total of 570 DEGs were detected, including 212 downregulated and 358 up-regulated genes. Reactome and KEGG enrichment revealed that DEGs are involved in the cell cycle, molecular transport, and metabolic pathways. The immune infiltration profile demonstrates that MMD cerebrovascular tissues contained a higher proportion of neutrophils, monocytes, and NK cells than negative control group. PPI network and MCODE cluster identified 9 DEGs (UNC13D, AZU1, PYCARD, ELANE, SDCBP, CCL11, CCL15, CCL20, and CXCL5) associated with neutrophil infiltration. ROC results showed that UNC13D has good specificity and sensitivity (AUC = 0.7846).Conclusions The characteristics of immune infiltration in the cerebrovascular tissues of MMD patients and abnormal expression of hub genes provide new insights for understanding MMD progression. UNC13D is promising to be one of the candidate molecules to determine neutrophil infiltration characteristics in MMD.
Construction of Ni-Mo-P heterostructures with efficient hydrogen evolution performance under acidic condition
Authors: Chen Tian-Yun , Zhang Ya-Qi , Fu Ying-Yan , Qian Min , Dai Hao-Jiang , Ye Bo , Qin Shan , Qing-Hua Yang 
Published: March 2021

Abstract
Hydrogen energy is regarded as one of the most important clean energy in the 21st century, and improving the catalytic efficiency of hydrogen evolution reaction (HER) is the basis for realizing the large-scale hydrogen production. Transition metal phosphides (TMPs) were proved to be efficient electrocatalysts for HER. In this work, we first synthesized the nickel-molybdenum bimetallic precursors, followed by high-temperature calcination in air. Finally, NiMoP/MoP nanorods (Ni-Mo-P NRs) was obtained by chemical vapor deposition (CVD) of phosphating. The target catalyst of Ni-Mo-P NRs was characterized by transmission electron microscopy (TEM), scanning electron microscopy (SEM), X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS). For Ni-Mo-P NRs, the electrochemical test in 0.5 M H2SO4 solution for HER showed that the optimal feeding ratio was Ni: Mo = 1:1. And the Ni1-Mo1-P NRs presented an onset potential of 63.2 mV, and an overpotential of 117.9 mV was required to drive the current density of 10 mA↔cm− 2. Meanwhile, The Tafel slope, exchange current density (j0), electrochemical double-layer capacitance (Cdl) were 58.6 mV↔dec− 1, 0.10 mA↔cm− 2, 12.6 mF↔cm− 2, respectively. Moreover, there was no obvious activity diminish of Ni1-Mo1-P NRs after a long-term stability and durability test.
Flow Estimation Only from Image Data, based on Persistent Homology
Authors: Suzuki Anna , Miyazawa Miyuki , Minto James , Tsuji Takeshi , Obayashi Ippei , Hiraoka Yasuaki , Ito Takatoshi 
Published: March 2021

Abstract
Topological data analysis is an emerging concept of data analysis for characterizing shapes. A state-of-the-art tool in topological data analysis is persistent homology, which is expected to summarize quantified topological and geometric features. Although persistent homology is useful for revealing the topological and geometric information, it is difficult to interpret the parameters of persistent homology themselves and difficult to directly relate the parameters to physical properties. In this study, we focus on connectivity and apertures of flow channels detected from persistent homology analysis. We propose a method to estimate permeability in fracture networks from parameters of persistent homology. Synthetic 3D fracture network patterns and their direct flow simulations are used for the validation. The results suggest that the persistent homology can estimate fluid flow in fracture network based on the image data. This method can easily derive the flow phenomena based on the information of the structure.