bluuebunny/crossref_metadata_2025 huggingface dataset:
LncRNA ODIR1 inhibits osteogenic differentiation of hUC-MSCs through the FBXO25/H2BK120ub/H3K4me3/OSX axis
Authors: He Shiwei , Yang Sheng , Zhang Yanru , Li Xiaoling , Gao Dan , Zhong Yancheng , Cao Lihua , Ma Haotian , Liu Ying , Li Guiyuan , Peng Shuping , Shuai Cijun
Published: December 2019

Long noncoding RNAs (lncRNAs) have been demonstrated to be important regulators during the osteogenic differentiation of mesenchymal stem cells (MSCs). We analyzed the lncRNA expression profile during osteogenic differentiation of human umbilical cord-derived mesenchymal stem cells (hUC-MSCs) and identified a significantly downregulated lncRNA RP11-527N22.2, named osteogenic differentiation inhibitory lncRNA 1, ODIR1. In hUC-MSCs, ODIR1 knockdown significantly promoted osteogenic differentiation, whereas overexpression inhibited osteogenic differentiation in vitro and in vivo. Mechanistically, ODIR1 interacts with F-box protein 25 (FBXO25) and facilitates the proteasome-dependent degradation of FBXO25 by recruiting Cullin 3 (CUL3). FBXO25 increases the mono-ubiquitination of H2BK120 (H2BK120ub) which subsequently promotes the trimethylation of H3K4 (H3K4me3). Both H2BK120ub and H3K4me3 form a loose chromatin structure, inducing the transcription of the key transcription factor osterix (OSX) and increasing the expression of the downstream osteoblast markers, osteocalcin (OCN), osteopontin (OPN), and alkaline phosphatase (ALP). In summary, ODIR1 acts as a key negative regulator during the osteogenic differentiation of hUC-MSCs through the FBXO25/H2BK120ub/H3K4me3/OSX axis, which may provide a novel understanding of lncRNAs that regulate the osteogenesis of MSCs and a potential therapeutic strategy for the regeneration of bone defects.
G3BP1 inhibits RNA virus replication by positively regulating RIG-I-mediated cellular antiviral response
Authors: Yang Wenping , Ru Yi , Ren Jingjing , Bai Juncui , Wei Junshu , Fu Shaozu , Liu Xiangtao , Li Dan , Zheng Haixue
Published: December 2019

Retinoic acid-inducible gene I (RIG-I) is a pattern recognition receptor and is involved in the innate immune response against RNA viruses infection. Here, we demonstrate that the Ras-GTPase-activating protein SH3-domain-binding protein 1 (G3BP1) serves as a positive regulator of the RIG-I-mediated signaling pathway. G3BP1-deficient cells inhibited RNA virus-triggered induction of downstream antiviral genes. Furthermore, we found that G3BP1 inhibited the replication of Sendai virus and vesicular stomatitis virus, indicating a positive regulation of G3BP1 to cellular antiviral responses. Mechanistically, G3BP1 formed a complex with RNF125 and RIG-I, leading to decreased RNF125 via its auto-ubiquitination; thus, promoting expression of RIG-I. Overall, the results suggest a novel mechanism for G3BP1 in the positive regulation of antiviral signaling mediated by RIG-I.
Analysis of laser radiation using the Nonlinear Fourier transform
Authors: Sugavanam Srikanth , Kopae Morteza Kamalian , Peng Junsong , Prilepsky Jaroslaw E. , Turitsyn Sergei K.
Published: December 2019

Modern high-power lasers exhibit a rich diversity of nonlinear dynamics, often featuring nontrivial co-existence of linear dispersive waves and coherent structures. While the classical Fourier method adequately describes extended dispersive waves, the analysis of time-localised and/or non-stationary signals call for more nuanced approaches. Yet, mathematical methods that can be used for simultaneous characterisation of localized and extended fields are not yet well developed. Here, we demonstrate how the Nonlinear Fourier transform (NFT) based on the Zakharov-Shabat spectral problem can be applied as a signal processing tool for representation and analysis of coherent structures embedded into dispersive radiation. We use full-field, real-time experimental measurements of mode-locked pulses to compute the nonlinear pulse spectra. For the classification of lasing regimes, we present the concept of eigenvalue probability distributions. We present two field normalisation approaches, and show the NFT can yield an effective model of the laser radiation under appropriate signal normalisation conditions.
Extracellular vesicles from symbiotic vaginal lactobacilli inhibit HIV-1 infection of human tissues
Authors: Ñahui Palomino Rogers A. , Vanpouille Christophe , Laghi Luca , Parolin Carola , Melikov Kamran , Backlund Peter , Vitali Beatrice , Margolis Leonid
Published: December 2019

The vaginal microbiota, dominated by Lactobacillus spp., plays a key role in preventing HIV-1 transmission. Here, we investigate whether the anti-HIV effect of lactobacilli is mediated by extracellular vesicles (EVs) released by these bacteria. Human cervico-vaginal and tonsillar tissues ex vivo, and cell lines were infected with HIV-1 and treated with EVs released by lactobacilli isolated from vaginas of healthy women. EVs released by L. crispatus BC3 and L. gasseri BC12 protect tissues ex vivo and isolated cells from HIV-1 infection. This protection is associated with a decrease of viral attachment to target cells and viral entry due to diminished exposure of Env that mediates virus-cell interactions. Inhibition of HIV-1 infection is associated with the presence in EVs of several proteins and metabolites. Our findings demonstrate that the protective effect of Lactobacillus against HIV-1 is, in part, mediated by EVs released by these symbiotic bacteria. If confirmed in vivo, this finding may lead to new strategies to prevent male-to-female sexual HIV-1 transmission.
Phagocytosis-like cell engulfment by a planctomycete bacterium
Authors: Shiratori Takashi , Suzuki Shigekatsu , Kakizawa Yukako , Ishida Ken-ichiro
Published: December 2019

Phagocytosis is a key eukaryotic feature, conserved from unicellular protists to animals, that enabled eukaryotes to feed on other organisms. It could also be a driving force behind endosymbiosis, a process by which α-proteobacteria and cyanobacteria evolved into mitochondria and plastids, respectively. Here we describe a planctomycete bacterium, ‘Candidatus Uab amorphum’, which is able to engulf other bacteria and small eukaryotic cells through a phagocytosis-like mechanism. Observations via light and electron microscopy suggest that this bacterium digests prey cells in specific compartments. With the possible exception of a gene encoding an actin-like protein, analysis of the ‘Ca. Uab amorphum’ genomic sequence does not reveal any genes homologous to eukaryotic phagocytosis genes, suggesting that cell engulfment in this microorganism is probably not homologous to eukaryotic phagocytosis. The discovery of this “phagotrophic” bacterium expands our understanding of the cellular complexity of prokaryotes, and may be relevant to the origin of eukaryotic cells.
A primate-specific retroviral enhancer wires the XACT lncRNA into the core pluripotency network in humans
Authors: Casanova Miguel , Moscatelli Madeleine , Chauvière Louis Édouard , Huret Christophe , Samson Julia , Liyakat Ali Tharvesh Moideen , Rosspopoff Olga , Rougeulle Claire
Published: December 2019

Transposable elements (TEs) have been proposed to play an important role in driving the expansion of gene regulatory networks during mammalian evolution, notably by contributing to the evolution and function of long non-coding RNAs (lncRNAs). XACT is a primate-specific TE-derived lncRNA that coats active X chromosomes in pluripotent cells and may contribute to species-specific regulation of X-chromosome inactivation. Here we explore how different families of TEs have contributed to shaping the XACT locus and coupling its expression to pluripotency. Through a combination of sequence analysis across primates, transcriptional interference, and genome editing, we identify a critical enhancer for the regulation of the XACT locus that evolved from an ancestral group of mammalian endogenous retroviruses (ERVs), prior to the emergence of XACT. This ERV was hijacked by younger hominoid-specific ERVs that gave rise to the promoter of XACT, thus wiring its expression to the pluripotency network. This work illustrates how retroviral-derived sequences may intervene in species-specific regulatory pathways.
Genetic determinants of the molecular portraits of epithelial cancers
Authors: Xia Youli , Fan Cheng , Hoadley Katherine A. , Parker Joel S. , Perou Charles M.
Published: December 2019

The ability to characterize and predict tumor phenotypes is crucial to precision medicine. In this study, we present an integrative computational approach using a genome-wide association analysis and an Elastic Net prediction method to analyze the relationship between DNA copy number alterations and an archive of gene expression signatures. Across breast cancers, we are able to quantitatively predict many gene signatures levels within individual tumors with high accuracy based upon DNA copy number features alone, including proliferation status and Estrogen-signaling pathway activity. We can also predict many other key phenotypes, including intrinsic molecular subtypes, estrogen receptor status, andTP53mutation. This approach is also applied to TCGA Pan-Cancer, which identify repeatedly predictable signatures across tumor types including immune features in lung squamous and basal-like breast cancers. These Elastic Net DNA predictors could also be called from DNA-based gene panels, thus facilitating their use as biomarkers to guide therapeutic decision making.
Single-molecule detection on a portable 3D-printed microscope
Authors: Brown James W. P. , Bauer Arnaud , Polinkovsky Mark E , Bhumkar Akshay , Hunter Dominic J. B. , Gaus Katharina , Sierecki Emma , Gambin Yann
Published: December 2019

Single-molecule assays have, by definition, the ultimate sensitivity and represent the next frontier in biological analysis and diagnostics. However, many of these powerful technologies require dedicated laboratories and trained personnel and have therefore remained research tools for specialists. Here, we present a single-molecule confocal system built from a 3D-printed scaffold, resulting in a compact, plug and play device called the AttoBright. This device performs single photon counting and fluorescence correlation spectroscopy (FCS) in a simple format and is widely applicable to the detection of single fluorophores, proteins, liposomes or bacteria. The power of single-molecule detection is demonstrated by detecting single α-synuclein amyloid fibrils, that are currently evaluated as biomarkers for Parkinson’s disease, with an improved sensitivity of >100,000-fold over bulk measurements.
An intravital window to image the colon in real time
Authors: Rakhilin Nikolai , Garrett Aliesha , Eom Chi-Yong , Chavez Katherine Ramos , Small David M. , Daniel Andrea R. , Kaelberer Melanie M. , Mejooli Menansili A. , Huang Qiang , Ding Shengli , Kirsch David G. , Bohórquez Diego V. , Nishimura Nozomi , Barth Bradley B. , Shen Xiling
Published: December 2019

Intravital microscopy is a powerful technique to observe dynamic processes with single-cell resolution in live animals. No intravital window has been developed for imaging the colon due to its anatomic location and motility, although the colon is a key organ where the majority of microbiota reside and common diseases such as inflammatory bowel disease, functional gastrointestinal disorders, and colon cancer occur. Here we describe an intravital murine colonic window with a stabilizing ferromagnetic scaffold for chronic imaging, minimizing motion artifacts while maximizing long-term survival by preventing colonic obstruction. Using this setup, we image fluorescently-labeled stem cells, bacteria, and immune cells in live animal colons. Furthermore, we image nerve activity via calcium imaging in real time to demonstrate that electrical sacral nerve stimulation can activate colonic enteric neurons. The simple implantable apparatus enables visualization of live processes in the colon, which will open the window to a broad range of studies.
Author Correction: Tidal wetland resilience to sea level rise increases their carbon sequestration capacity in United States
Authors: Wang Faming , Lu Xiaoliang , Sanders Christian J. , Tang Jianwu
Published: December 2019

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Interaction data from the Copenhagen Networks Study
Authors: Sapiezynski Piotr , Stopczynski Arkadiusz , Lassen David Dreyer , Lehmann Sune
Published: December 2019

We describe the multi-layer temporal network which connects a population of more than 700 university students over a period of four weeks. The dataset was collected via smartphones as part of the Copenhagen Networks Study. We include the network of physical proximity among the participants (estimated via Bluetooth signal strength), the network of phone calls (start time, duration, no content), the network of text messages (time of message, no content), and information about Facebook friendships. Thus, we provide multiple types of communication networks expressed in a single, large population with high temporal resolution, and over a period of multiple weeks, a fact which makes the dataset shared here unique. We expect that reuse of this dataset will allow researchers to make progress on the analysis and modeling of human social networks.
Defined factors to reactivate cell cycle activity in adult mouse cardiomyocytes
Authors: Judd Justin , Lovas Jonathan , Huang Guo N.
Published: December 2019

Adult mammalian cardiomyocytes exit the cell cycle during the neonatal period, commensurate with the loss of regenerative capacity in adult mammalian hearts. We established conditions for long-term culture of adult mouse cardiomyocytes that are genetically labeled with fluorescence. This technique permits reliable analyses of proliferation of pre-existing cardiomyocytes without complications from cardiomyocyte marker expression loss due to dedifferentiation or significant contribution from cardiac progenitor cell expansion and differentiation in culture. Using this system, we took a candidate gene approach to screen for fetal-specific proliferative gene programs that can induce proliferation of adult mouse cardiomyocytes. Using pooled gene delivery and subtractive gene elimination, we identified a novel functional interaction between E2f Transcription Factor 2 (E2f2) and Brain Expressed X-Linked (Bex)/Transcription elongation factor A-like (Tceal) superfamily members Bex1 and Tceal8. Specifically, Bex1 and Tceal8 both preserved cell viability during E2f2-induced cell cycle re-entry. Although Tceal8 inhibited E2f2-induced S-phase re-entry, Bex1 facilitated DNA synthesis while inhibiting cell death. In sum, our study provides a valuable method for adult cardiomyocyte proliferation research and suggests that Bex family proteins may function in modulating cell proliferation and death decisions during cardiomyocyte development and maturation.
Radiomodifying action, Pharmacokinetic and Biodistribution of Ethyl 3, 4, 5-trihydroxybenzoate-Implication in development of radiomitigator
Authors: Pandey Pranav K , Ahmed B. , Prasad J. , Bala M. , Khan H. A.
Published: December 2019

Ethyl 3, 4, 5-trihydroxybenzoate (GAE) is a major bioactive constituent of Hippophae Rhamnoides L. leaves and extract prepared from H. rhamnoides leaves exhibited radioprotective and pharmacological activity. Radiomodifying properties of polyphenol compounds through free radical neutralizing have been reported earlier. However, to date pharmacokinetic (PK) and biodistribution of polyphenol compounds post 60Co-γ-irradiation (5 Gy) exposure have not been studied yet. The study aims to investigate the radio modifying and inflammatory action, PK and biodistribution of GAE at a radioprotective dose and changes, if any, induced after irradiation. Male C 57 BL/6 mice (28–30 g) were administered GAE (200 mg/kg b.wt) orally 15 minutes post to irradiation. Mice were sacrificed at 15, 30 min, 1,2,4,8 and 24 h. PK and biodistribution of GAE in plasma and tissues were studied. The radiomodifying potential was assessed in terms of mitigating NF-kB activity and SGOT, SGPT, urea and creatinine levels in liver and kidney post irradiation. Our study suggested the potential use of GAE as radiomodifying agent inhibits NF-kB expression and maintains the SGOT 24.10 ± 2.4, SGPT 36.01 ± 6.1 U/l, urea18.16 ± 0.003, and creatinine 1.05 ± 0.04 mg/dL upto 8 h in comparison to irradiated mice. Moreover, in biodistribution studies, showed that GAE crosses the blood-brain barrier and is found in brain tissue. Plasma level of GAE peaked at about 15 min, with Cmax 4390.85 ± 285.20 in GAE and in 3391.78 ± 78.13 ng/mL in radiation + GAE-treated animals, Biodistribution resulted in the highest concentration to be found in liver and kidney. These radiomodifying and pharmacokinetic result may be useful for study of the bioactive mechanism associated with radiation injury and to develop a potent formulation of GAE for clinical application.
Simplifying Weighted Heterogeneous Networks by Extracting h-Structure via s-Degree
Authors: Wang Ruby W. , Ye Fred Y.
Published: December 2019

In this study, we developed a method to extract the core structure of weighted heterogeneous networks by transforming the heterogeneous networks into homogeneous networks. Using the standardized z-score, we define the s-degree by summing all the z-scores of adjacent edges into base-nodes for a weighted heterogeneous network. Then, we rank all the s-degrees in decreasing order to obtain the core structure via the h-index of a base-homogeneous-network. After reducing all adjacent edges between the attribute nodes and base-nodes to the core structure, we obtain the heterogeneous core structure of the weighted network, which is called the h-structure. We find that the h-structure in a heterogeneous network contains less than 1% nodes and edges, which results in the construction of a highly effective simplification of a weighted heterogeneous network. Two practical cases, the citation network and the co-purchase network, were examined in this study.
Genetic engineering of parthenocarpic tomato plants using transient SlIAA9 knockdown by novel tissue-specific promoters
Authors: Kim Ji-Seong , Ezura Kentaro , Lee Jeongeun , Ariizumi Tohru , Ezura Hiroshi
Published: December 2019

Parthenocarpy is the development of an ovary into a seedless fruit without pollination. The ubiquitous downregulation of SlIAA9 induces not only parthenocarpic fruit formation but also an abnormal vegetative phenotype. To make parthenocarpic transgenic tomato plants without unwanted phenotypes, we found two genes, namely, Solyc03g007780 and Solyc02g067760, expressed in ovary tissue but not in vegetative tissues. Solyc03g007780 was expressed in developing ovaries and anthers. Solyc02g067760 mRNA was detected in whole-flower tissues. The promoters of Solyc03g007780 (Psol80) and Solyc02g067760 (Psol60) predominantly induced the expression of genes in the ovule, placenta, endocarp and pollen and in whole-flower tissues, respectively. Psol80/60-SlIAA9i lines, created for SlIAA9-RNA interference controlled by two promoters, successfully formed parthenocarpic fruits without pleiotropic effects in vegetative tissues. Downregulation of SlIAA9, responsible for parthenocarpic fruit formation, was observed in ovules rather than ovaries in the Psol80/60-SlIAA9i lines. Although the weight of parthenocarpic fruits of the Psol80/60-SlIAA9i lines was lower than the weight of pollinated fruits of the wild type (WT), the parthenocarpic fruits presented redder and more saturated colors and higher levels of total soluble solids and titratable acidity than the WT fruits.
Rutile RuxTi1-xO2 nanobelts to enhance visible light photocatalytic activity
Authors: Mihai S. , Cursaru D. L. , Matei D. , Manta A. M. , Somoghi R. , Branoiu G.
Published: December 2019

We herein report on the synthesis by a facile sol-gel method without templates for preparing rutile RuxTi1-xO2 (x = 0.16; 0.07; 0.01) nanobelts with exposed (001) facets. The rutile nanobelts with exposure (001) facets, favor the separation photogenerated electron-hole pairs and inhibit the recombination of the electron-hole pairs resulting in the increase of the number of main superoxide and hydroxyl radicals. The photocatalytic properties of the rutile RuxTi1-xO2 nanobelts were evaluated by discoloring of MB (methylene blue) dye under sunlight irradiation at an intensity of 40000 lx. It was also done a thorough interface analysis to determine the band energy.
Decoding speech from spike-based neural population recordings in secondary auditory cortex of non-human primates
Authors: Heelan Christopher , Lee Jihun , O’Shea Ronan , Lynch Laurie , Brandman David M. , Truccolo Wilson , Nurmikko Arto V.
Published: December 2019

Direct electronic communication with sensory areas of the neocortex is a challenging ambition for brain-computer interfaces. Here, we report the first successful neural decoding of English words with high intelligibility from intracortical spike-based neural population activity recorded from the secondary auditory cortex of macaques. We acquired 96-channel full-broadband population recordings using intracortical microelectrode arrays in the rostral and caudal parabelt regions of the superior temporal gyrus (STG). We leveraged a new neural processing toolkit to investigate the choice of decoding algorithm, neural preprocessing, audio representation, channel count, and array location on neural decoding performance. The presented spike-based machine learning neural decoding approach may further be useful in informing future encoding strategies to deliver direct auditory percepts to the brain as specific patterns of microstimulation.
Development of a facile rolling method to amplify an analyte's weak SERS activity and its application for chlordane detection
Authors: Qu Yanqi , He Lili
Published: December 2019

The rolling method is a simple enrichment which does not require concentrating instruments. It makes SERS an effective tool for determining the concentration of hard-to-detect analytes in foods based on the amplification of their weak SERS signals.
Functional characterization of flavorings in electronic cigarette refill liquids by nuclear magnetic resonance spectroscopy
Authors: Dada Oluwabunmi M. , Chalbot Marie-Cecile G. , Kavouras Ilias G.
Published: December 2019

The chemical content of electronic cigarette liquids (e-liquids) was determined by NMR spectroscopy.
An electrochemiluminescence sensor based on CdSe@CdS-functionalized MoS2 and a GOD-labeled DNA probe for the sensitive detection of Hg(ii)
Authors: He Zhang-Jin , Kang Tian-Fang , Lu Li-Ping , Cheng Shui-Yuan
Published: December 2019

In this study, a novel electrochemiluminescence (ECL) biosensor based on a CdSe@CdS quantum dot (QD)-functionalized MoS2-modified electrode was developed for the sensitive detection of mercury ions.
A one-pot synthesis of hydrophilic poly(glycerol methacrylate) chitosan for highly selective enrichment of glycopeptides
Authors: Jie Jianzheng , Liu Dan , Zou Xiajuan
Published: December 2019

Poly(glycerol methacrylate) with a highly flexible density of hydrophilic molecules grafted on the surface of chitosan was applied to highly specific enrichment of glycopeptides.
Reversible detection of phosphorylation and dephosphorylation by tip-enhanced Raman spectroscopy using a cyclopentadienyl ruthenium nanotag functionalized tip
Authors: Lin Yi-Cheng , Ke Zi-Yu , Liao Pei-Hsuan , Tseng Ching-Yu , Kong Kien Voon
Published: December 2019

We employed a TERS tip and SERS nanotags to create a cell signaling based sensing system that is capable of creating a reversible phosphorylation/de-phosphorylation cycle for TERS measurement.
Synthesis of imides via palladium-catalyzed three-component coupling of aryl halides, isocyanides and carboxylic acids
Authors: Wang Bo , He Dan , Ren Beige , Yao Tuanli
Published: December 2019

A palladium-catalyzed, three-component synthesis of imides from feedstock aryl halides, carboxylic acids and isocyanides through the intermediacy of isoimide has been developed.
Anisotropy of the vorticity tensor as a magnetic indicator of aromaticity
Authors: Pelloni S. , Lazzeretti P.
Published: December 2019

The vorticity vector of the current density JB, induced in the electron cloud of a molecule by a magnetic field B, is defined by VB = ∇ × JB.
Metallization and superconductivity in methane doped by beryllium at low pressure
Authors: Lv Hai-Yan , Zhang Si-Yuan , Li Meng-Hu , Hai Yu-Long , Lu Ning , Li Wen-Jie , Zhong Guo-Hua
Published: December 2019

Solid methane doped by beryllium is superconducting at low pressures and its critical temperature can reach 30 K.
A new cobalt metal–organic framework as a substrate for Pd nanoparticles applied in high-efficiency nitro phenol degradation and cinnamaldehyde hydrogenation
Authors: Liu Zhida , Ning Liangmin , Wang Kaiyuan , Feng Lixi , Gu Wen , Liu Xin
Published: December 2019

In recent years, attributed to the excellent catalytic performance of precious metal materials, metal nanoparticles@MOF catalyst has been a popular research direction.
Zero-, mono- and diperiodic uranyl ion complexes with the diphenate dianion: influences of transition metal ion coordination and differential UVI chelation
Authors: Thuéry Pierre , Atoini Youssef , Harrowfield Jack
Published: December 2019

Diphenate complexes with uranyl cations are generally of low periodicity (0 or 1), but for one 2-periodic uranyl–CuII species.
Various Anderson-type polyoxometalate-based metal–organic complexes induced by diverse solvents: assembly, structures and selective adsorption for organic dyes
Authors: Li Jia-Hui , Wang Xiu-Li , Song Ge , Lin Hong-Yan , Wang Xiang , Liu Guo-Cheng
Published: December 2019

A series of Anderson-type polyoxometalates (POMs)-based metal–organic complexes with different structures have been synthesized, they show excellent dye adsorption and chromatographic separation in a short time.
Oxygen transfer investigations in an aerobic granular sludge reactor
Authors: Cecconi Francesca , Garrido-Baserba Manel , Eschborn Ralph , Damerel Jordan , Rosso Diego
Published: December 2019

Oxygen transfer efficiency during the aeration cycle for all the experiments.
Experimental evidence of a new class of massless fermions
Authors: Kopciuszyński Marek , Krawiec Mariusz , Żurawek Lucyna , Zdyb Ryszard
Published: December 2019

Massless fermions forming fortune teller states in a surface layer of Si(110).
Enantioseparation using carboxymethyl-6-(4-methoxybenzylamino)-β-cyclodextrin as a chiral selector by capillary electrophoresis and molecular modeling study of the recognition mechanism
Authors: Zhao Yu , Wang Jinlong , Liu Yanru , Jiang Zhen , Song Yongbo , Guo Xingjie
Published: December 2019

In this study, carboxymethyl-6-(4-methoxybenzylamino)-β-cyclodextrin (CMCDPN) was synthesized for the first time and managed to be used as a chiral selector to enantioseparate 13 kinds of chiral drugs by capillary electrophoresis.
An electrochemical immunosensor based on a combined amplification strategy with the GO–CS/CeO2–CS nanocomposite for the detection of aflatoxin M1
Authors: An Xingshuang , Shi Xiaojie , Zhang Hui , Yao Yao , Wang Guangxian , Yang Qingqing , Xia Lianming , Sun Xia
Published: December 2019

Herein, a sensitive electrochemical immunosensor modified with graphene oxide–chitosan (GO–CS) and cerium oxide–chitosan (CeO2–CS) using screen-printed electrodes (SPEs) was developed for the determination of aflatoxin M1(AFM1) in milk.
Designed synthesis of nickel–cobalt-based electrode materials for high-performance solid-state hybrid supercapacitors
Authors: Yang Liu , Lu Xintong , Wang Shihao , Wang Jiansen , Guan Xiaohui , Guan Xin , Wang Guangsheng
Published: December 2019

Schematic descriptions for the formation of CoNi2S4, NiCo-LDH, and NiO/Co3O4 and the excellent electrochemical performance of CoNi2S4.
Photomultiplication type organic photodetectors based on electron tunneling injection
Authors: Zhao Zijin , Li Chenglong , Shen Liang , Zhang Xiaoli , Zhang Fujun
Published: December 2019

PM type OPDs are firstly achieved based on electron tunneling injection with electron-only transport properties.
PCR-RAFT: rapid high throughput oxygen tolerant RAFT polymer synthesis in a biology laboratory
Authors: Gurnani Pratik , Floyd Thomas , Tanaka Joji , Stubbs Christopher , Lester Daniel , Sanchez-Cano Carlos , Perrier Sébastien
Published: December 2019

We performed high-throughput oxygen tolerant ultra-fast RAFT polymerisation producing complex polymer libraries utilising PCR thermocyclers. This now enables the preparation of these libraries in under 5 min without chemistry equipment.
Synthesis, characterization and C–H amination reactivity of nickel iminyl complexes
Authors: Dong Yuyang , Lukens James T. , Clarke Ryan M. , Zheng Shao-Liang , Lancaster Kyle M. , Betley Theodore A.
Published: December 2019

Nickel-supported nitrenoids exhibit iminyl character, as determined by multi-edge XAS and TDDFT analysis, demonstrate efficacy for C–H activation and nitrene transfer chemistry.
An interfacially self-reinforced polymer electrolyte enables long-cycle 5.35 V dual-ion batteries
Authors: Han Xiaoqi , Zhang Huanrui , Liu Tianmeng , Du Xiaofan , Xu Gaojie , Han Pengxian , Zhou Xinhong , Cui Guanglei
Published: December 2019

PVAc displays self-reinforcement characteristics and exhibits synergistic effects along with PVDF to realize a long-cycle polymer electrolyte DIB.
Role of CyPA in cardiac hypertrophy and remodeling
Authors: Cao Mengfei , Yuan Wei , Peng Meiling , Mao Ziqi , Zhao Qianru , Sun Xia , Yan Jinchuan
Published: December 2019

Pathological cardiac hypertrophy is a complex process and eventually develops into heart failure, in which the heart responds to various intrinsic or external stress, involving increased interstitial fibrosis, cell death and cardiac dysfunction. Studies have shown that oxidative stress is an important mechanism for this maladaptation. Cyclophilin A (CyPA) is a member of the cyclophilin (CyPs) family. Many cells secrete CyPA to the outside of the cells in response to oxidative stress. CyPA from blood vessels and the heart itself participate in a variety of signaling pathways to regulate the production of reactive oxygen species (ROS) and mediate inflammation, promote cardiomyocyte hypertrophy and proliferation of cardiac fibroblasts, stimulate endothelial injury and vascular smooth muscle hyperplasia, and promote the dissolution of extracellular matrix (ECM) by activating matrix metalloproteinases (MMPs). The events triggered by CyPA cause a decline of diastolic and systolic function and finally lead to the occurrence of heart failure. This article aims to introduce the role and mechanism of CyPA in cardiac hypertrophy and remodeling, and highlights its potential role as a disease biomarker and therapeutic target.
Optimal control of Sobolev‐type stochastic Hilfer fractional non‐instantaneous impulsive differential inclusion involving Poisson jumps and Clarke subdifferential
Authors: Durga N. , Muthukumar P.
Published: December 2019

This article is concerned with the optimal control of Sobolev‐type Hilfer fractional non‐instantaneous impulsive differential inclusion driven by Poisson jumps and Clarke subdifferential. Initially, the existence of a mild solution is established for the proposed Hilfer type fractional problem with novel ideas of non‐instantaneous impulses. The non‐linear alternative of Leray‐Schauder type fixed point theorem, stochastic analysis, the measure of non‐compactness and the multivalued analysis are applied to prove the mild solution. Further, the existence of optimal control is derived by employing Balder's theorem. Finally, the application as a stochastic dam pollution model is provided to illustrate the developed theoretical results.
New gain‐scheduled static output feedback controller design strategy for stability and transient performance of LPV systems
Authors: Sereni Bruno , Assunção Edvaldo , Carvalho Minhoto Teixeira Marcelo
Published: December 2019

In this study, a new static output feedback (SOF) control for application to linear parameter‐varying (LPV) systems is proposed. The asymptotic stability of LPV systems is ensured based on the proposal of a design strategy for gain‐scheduled static output feedback (GS‐SOF) controllers. The approach selected for the design of the GS‐SOF gains is based on a two‐stage method, which consists of obtaining a state feedback gain in the first stage, and then in the second stage, using that information to derive the desired GS‐SOF controller. In the controller design, the proposed strategy considers performance improvement regarding the specification of the minimum decay rate. The solution for the investigated problem is presented in terms of linear matrix inequalities (LMI) obtained using Finsler's Lemma. Less conservative LMI conditions are also proposed by considering parameter‐dependent slack variables. For illustration purposes, the proposed method is implemented in practice for the design of GS‐SOF controllers for an active suspension system. In the experiments, it is assumed that only one of its four system state variables is available for the measurement. The dynamic performance achieved in the practical implementation of the designed controllers demonstrates the efficiency of the method.
Framework for optimizing the demand contracted by large customers
Authors: Rosado Barbara , Torquato Ricardo , Venkatesh Bala , Gooi Hoay Beng , Freitas Walmir , Rider Marcos J.
Published: December 2019

Large customers in many electric distribution utilities must enter into demand contracts for the ensuing year for defining contracted demand. Customer demand charge equals contracted demand billed at contracted tariff if the peak demand is less than the contracted demand, and, if not, the excess is billed at the uncontracted tariff. Both scenarios lead to economic loss for the customer, as the uncontracted tariff is much higher than the contracted tariff. Further, optimization of demand contracts is also important for utilities, as they plan and operate their system to satisfy customer peak demand. If under planned, it leads to technical challenges, and otherwise, it leads to economic loss. This challenge of determining the best demand to be contracted is known as the demand cost optimization problem and would save US$ 38 billion globally to customers. This work describes the problem through a graphical approach and proposes three mathematical models to find the optimum demand even in the presence of intermittent renewable generation. Each model is verified through a case study and an exhaustive study with 7,000 large customers from a Brazilian utility. The formulations are easily implementable and have the potential to assist large customers and utilities with planning studies.
Temporary overvoltages in high‐voltage power systems caused by breaks of circuit continuity during single‐phase earth faults
Authors: Tarko Rafal , Nowak Wieslaw , Szpyra Waldemar
Published: December 2019

The main cause of temporary overvoltages is earth faults. The reduction of such overvoltages is achieved by effective earthing of the neutral. It is assumed that the system is effectively earthed if the relative temporary overvoltage values caused by earth faults do not exceed the established limit value of 1.4 pu. It is believed that the effectiveness of earthing will be assured when, for all system conditions, the ratio of the zero‐sequence reactance to the positive‐sequence reactance is positive and ≤3, and the ratio of zero‐sequence resistance to positive‐sequence reactance is positive and <1. However, it appears that, despite the fulfilment of these conditions, a single line‐to‐earth short‐circuit can cause overvoltage exceeding by far the value of 1.4 pu. Such a situation may occur for a disturbance in the form of a single‐phase break and earth fault in a power system. This article presents models and results of simulation tests, which allowed for a comprehensive description of those disturbances both in idealised and real systems. Furthermore, the authors suggest solutions to mitigate those severe overvoltages.
Topological manifold‐based monitoring method for train‐centric virtual coupling control systems
Authors: Zhang Yong , Wang Haifeng
Published: December 2019

Train‐centric virtual coupling is one of the promising techniques available to increase the capacity of the railway, and is much more complex than the existing train control systems. The safety issue for the system needs to be addressed since virtually coupled trains are allowed to run closer than under the traditional fixed/moving block principle. In this study, the authors proposed a topological manifold‐based monitoring method to guarantee the safety of the train‐centric virtual coupling systems. The basic signalling equipment and dynamic train behaviour are described as topological elements and manifolds. Based on that, several safety monitoring theorems are proved to ensure the safety of the virtual coupling control logic. The theorem for the verification of trains running information is proved, along with theorems for the correctness of the virtual coupling control strategy. The trains’ dynamic behaviour under specific control commands can also be supervised by a safety theorem. Finally, a case study is performed to illustrate the proposed method. The results show that the method is feasible for monitoring the train‐centric virtual coupling control systems.
Intelligent estimation for electric vehicle mass with unknown uncertainties based on particle filter
Authors: Sun Shengxiong , Zhang Nong , Walker Paul , Lin Cheng
Published: December 2019

Vehicle mass is one of the most critical parameters in the vehicle control system, based on the discrete vehicle longitudinal dynamic equation after the forward Euler approximation, non‐linear particle filter is introduced to estimate the vehicle mass intelligently, and it gains a competitive advantage that statistical characteristics of noise and uncertainties in the system are not necessary to be known or supposed in advance. As a sort of recursive, Bayesian state estimator, vehicle mass is regarded as a constant state variable to constitute the discrete state‐space equation, motor torque is selected as input signal, and the measurable vehicle speed is selected to constitute the observation equation, parameters such as rolling resistance coefficient, air drag coefficient and road slop are considered as high‐power noise and uncertainties. The performance of the proposed vehicle mass estimator is tested by several groups of load and the results demonstrate that the output of the particle filter based vehicle mass estimator can converge to the real value and keep steady.
Effective approach to generate electrically large rough surfaces and the application to EM scattering problems
Authors: Li Jinxing , Wang Liuying , Zhang Min , Fan Wenna , Wei Pengbo
Published: December 2019

The small slope approximation (SSA) is a widely employed way to analyse the electromagnetic (EM) scattering problems from rough surfaces. However, it requires a surface sampling interval less than one‐eighth of the wavelength, which makes it suffer from the problems of large memory consumption and low calculation efficiency for large rough surfaces, especially for higher microwave bands. In this study, a new way to generate the electrically large rough surfaces is proposed and its application to the calculation of EM scattering field is introduced on the base of first‐order SSA. The calculation accuracy and consumed computer memory of the proposed method analysed by numerical comparisons show good performance.
Bilinear Z‐transform perfectly matched layer for rotational symmetric microwave structures with magnetised ferrite
Authors: Wu Peiyu , Xie Yongjun , Jiang Haolin , Niu Liqiang , Ren Haiping
Published: December 2019

In order to efficiently simulate the symmetrical structures in the cylindrical coordinate system, the implementation of the complex frequency‐shifted perfectly matched layer based on the body of revolution finite‐difference time‐domain algorithm is proposed for analysing the magnetised ferrite microwave structures. To improve the computational efficiency in the magnetised ferrite domain compared with the existing calculation methods, the bilinear Z‐transform for the simulation of the dispersion relationship of the magnetised ferrite is proposed. The proposed implementations can not only improve the computational efficiency but also obtain a considerable absorbing performance. Numerical examples based on the magnetised ferrite microwave structures are carried out to demonstrate the effectiveness and efficiency of the proposed formulations.
Robust adaptive filter using fuzzy logic for tightly‐coupled visual inertial odometry navigation system
Authors: Yue Zhe , Lian Baowang , Gao Yuting
Published: December 2019

In this study, a robust adaptive filter using fuzzy logic for tightly‐coupled visual‐inertial odometry (VIO) navigation system is proposed. First, the authors use the epipolar geometry and trifocal tensor geometry as the measurement models of the VIO navigation system, which can avoid calculating the three‐dimensional position of feature points. Second, the camera poses corresponding to the three images are corrected in the filter to form a multi‐state constraint Kalman filter. Finally, when the measurement noise statistics changes or the erroneous measurement occurs in practical applications, the proposed method utilises Takagi–Sugeno (T–S) fuzzy logic to determine a scalar factor according to the divergence degree parameter. Then, the scalar factor is applied to the innovation covariance matrix and the filter gain, which improves the navigation accuracy and robustness of the VIO navigation system. The experimental results testing with the publicly available real‐world KITTI dataset demonstrate the effectiveness of the proposed method.
Generalised maximum complex correntropy‐based DOA estimation in presence of impulsive noise
Authors: Ma Fuqiang , Bai Hongying , Zhang Xiaotong , Xu Cheng , Li Yiping
Published: December 2019

Most existing methods for direction‐of‐arrival (DOA) estimation are severely influenced by impulsive noise due to their Gaussian noise assumption. As a typical non‐linear similarity measure, the maximum correntropy criterion (MCC) has been considered to restrain impulsive noise, because of its ability to exploit the high‐order statistics of signal. However, Gaussian kernel‐based MCC method is not always the optimal choice and is only suitable for the real‐valued signal, which certainly limits its applications. To solve the aforementioned problems, in this study, the authors proposed a novel generalised maximum complex correntropy criterion (GMCCC)‐based complex‐valued quasi‐Newton method to restrain impulsive noise. GMCCC adopts the generalised complex Gaussian density function as the kernel function with more flexible parameters. Besides, it can extend the benefit to the complex‐valued signal. Furthermore, its properties are formalised. The complex‐valued quasi‐Newton method guarantees the positive definite Hessian matrix to achieve the alternate minimisation of signal subspace and signal matrix. GMCCC achieves the accurate DOA estimation from the received data which does not require the covariance matrix. Stability performance and convergence are analysed. Experiment results show that the proposed GMCCC algorithm possesses the robustness and outperforms the state‐of‐the‐art algorithms.
Accurate and robust inversion of buried objects based on the linear sampling method and differential evolution
Authors: Fan Qimeng , Yin Chengyou , Gan Yongji
Published: December 2019

The authors propose an accurate and robust method to reconstruct buried objects for half‐space scenarios. First, the linear sampling method (LSM) was employed to estimate targets support. A relaxed threshold is defined for LSM to ensure all real targets are included. Despite the low accuracy of the estimation by LSM, the authors were more interested in its insensitivity to noise. Second, differential evolution (DE) optimisation was used to refine the LSM results. Since the magnitudes of LSM indicator functions are related to the probability of support belonging to real targets, different weights for gene elements are allocated according to their indicator values to control mutation and cross probability. A mask‐beneficial contrast source inversion (CSI) is employed to evaluate cost function by encoding possible targets support and making it into a support mask. The mask is combined with CSI as a priori information and an accurate mask tends to derive a slight iteration error, whereas those incorrect ones will result in large errors. Thus, by adopting CSI iteration error as a cost function and taking advantage of superior optimisation performance of weighted DE, the authors find an optimum mask and reconstruct contrast with high fidelity. Effectiveness of the proposed method is validated by simulation results.
Cargo pallets real‐time 3D positioning method based on computer vision
Authors: Li Tianjian , Jin Qiu , Huang Bin , Li Chang , Huang Min
Published: December 2019

In storage environment, aiming at the problem of goods positioning when picking, the pallet is firstly recognised based on deep learning. Then, algorithm of obtaining the pose of the pallet by the image processing and Kinect sensor is proposed in this study. The pallet is recognised and its selected box is obtained by deep learning. On this basis, the position and the angle of the pallet are obtained by the image processing method, and then RGB‐D transforms the position and posture of the pallet into the three‐dimensional (3D) coordinate for three‐dimensional positioning. The experiment results show that the algorithm can obtain real‐time pallet position with the success rate of 81.02%. Thus, the algorithm can meet the requirements of the efficiency and accuracy location requirements of the storage of goods when picking.
Study on the effect of different electrode channel combinations of motor imagery EEG signals on classification accuracy
Authors: Zhu Kai , Wang Shuai , Zheng Dezhi , Dai Mengxi
Published: December 2019

In order to improve the performance of motor imagery brain–computer interface (BCI) based on deep learning algorithm, here, the authors propose an electrode channel combination method. Although motor imagery electro‐encephalography (EEG) signals which contain different electrode channels on the scalp surface have an effect on the classification performance, the effect of different electrode channel combinations has not been systematically explored. With the two deep learning models the authors constructed, the authors list some different electrode channel combinations to classify the left fist and right fist motor imagery EEG signals. The results show that the more the number of channels in these combinations, the higher the classification accuracy. However, when the number of channels exceeds 11, the classification accuracy increases slowly, and the classification effect is rarely improved. Therefore, the authors obtain an optimal electrode channel combination to use the electrode channels efficiently and to improve the performance of motor imagery BCI based on deep learning algorithms.
Characteristic analysis of double excitation sensor based on F‐30 multi‐dimensional digital magnetic measurement system
Authors: Zhang Yanhai , Xu Xiaoli , Zuo Yunbo , Zhang Xiangqi
Published: December 2019

According to the analysis characteristic of the on‐line sensor of the mechanical device, the on‐line magnetic field of the double excitation sensor is analysed by using the most advanced F‐30 multi‐dimensional digital magnetic measurement system. Using F‐30 mode scanning analysis of the dual incentive sensor of two‐dimensional (2D) and 3D characteristics, a system of a 3D mesh of the sensor is obtained, the 3D graph, the 3D graphic model, at last, through export data for magnetic field distribution of more detailed information. The accuracy of the F‐30 magnetic field analysis system is very high, and the field distribution information of the sensor is more practical. This analysis is of a great reference value for the experimental analysis of the sensor.