bluuebunny/crossref_metadata_2025 huggingface dataset:
Plastics Additives and Human Health: A Case Study of Bisphenol A (BPA)
Authors: Galloway T. S. , Lee B. P. , Burić I. , Steele A. M. , BPA Schools Study Consortium  , Kocur A. L. , Pandeth A. George , Harries L. W.
Published: November 2018

Plastics are useful and versatile materials that bring many societal benefits, but concern has been raised about the potential of additive substances, including chemicals classified to be of concern to human health, to migrate from packaging and enter the human body. Human biomonitoring of global populations has identified exposure to a range of plastic additives, detectable in some cases in the majority of people. Whilst the concentrations involved are frequently within regulatory guidelines for tolerable daily exposure limits, the potential nonetheless exists for chronic, low dose and mixture effects. In this chapter, plastics additives in common use are identified and some of the factors that influence their migration out of plastics are discussed. Using the endocrine disrupting chemical bisphenol A (BPA) as a case study, the routes of exposure and potential for interventions to reduce exposure are discussed. Mechanisms of toxicity, including the possibility for effects mediated by changes in gene expression or epigenetic changes are illustrated using the estrogen related receptor α (ESRRA) as an example.
Plastics, the Environment and Society: Current Consensus and Future Directions
Authors: Thompson Richard C. , Pahl Sabine
Published: November 2018

In less than 60 years, plastics have transformed our daily lives. Usage is increasing and now exceeds 330 million tonnes per annum. In this concluding chapter we summarise current understanding about the benefits and concerns of plastics usage and look to future priorities, challenges and opportunities. It is clear that plastics bring many societal benefits and offer the potential for further advances in medical and technological applications, as well as carbon reductions. However, it is also widely acknowledged that current production, use and disposal of plastics is not sustainable. Our understanding of the issues associated with end of life plastics has increased considerably over the last decade. It is now clear that plastic debris has accumulated on a global scale and is present in considerable quantities even in remote locations such as the arctic and deep sea. Plastic debris is frequently encountered by wildlife, often with harmful if not fatal consequences. There are emerging concerns about the impacts of nanosized plastic fragments and preliminary evidence that large items of litter can have negative consequences for human wellbeing. Public and policy interest in the topic is unprecedented and funding is being made available to address the issue. However, while the suite of potential solutions is well recognised, there is no one size fits all solution. In the current thirst for action, a major challenge is matching the most appropriate solutions to particular aspects of the problem. In addition, we need to consider the role of society and the processes of social perception and influence amongst a range of actors. This is critical because, unless the efficacy of solutions is properly evidenced and understood, there is a significant risk that interventions taken in haste will not be socially acceptable and/or may lead to unintended negative consequences.
Proton transfer from pinene stabilizes water clusters
Authors: Poštulka Jan , Slavíček Petr , Domaracka Alicja , Pysanenko Andriy , Fárník Michal , Kočišek Jaroslav
Published: November 2018

Molecular beams experiments and ab initio theory reveal indirect formation of protonated water clusters by ionization of pinene.
Molecular features of hydration layers probed by atomic force microscopy
Authors: Zhang Zhengqing , Ryu Seol , Ahn Yoonho , Jang Joonkyung
Published: November 2018

The molecular features of the hydration layers probed by a nanoscale tip were uncovered by using molecular dynamic simulations.
Polysaccharide-based superporous hydrogel embedded with copper nanoparticles: a green and versatile catalyst for the synthesis of 1,2,3-triazoles
Authors: Souza Jaqueline F. , Costa Gabriel P. , Luque Rafael , Alves Diego , Fajardo André R.
Published: November 2018

This study demonstrates that a polysaccharide-based hydrogel embedded with copper nanoparticles catalyzes cycloaddition reactions involving different azide and alkyne precursors.
Crystal field modulation-control, bandgap engineering and shallow/deep traps tailoring-guided design of a color-tunable long-persistent phosphor (Ca, Sr)Ga4O7:Mn2+,Bi3+
Authors: Zheng Weixin , Wu Haoyi , Ju Guifang , Mo Zhong , Dong Huafeng , Hu Yihua , Jin Yahong
Published: November 2018

A color-tunable long-persistent phosphor (Ca,Sr)Ga4O7:Mn2+, Bi3+ based on crystal field modulation, bandgap engineering and traps tailoring.
Carbon-coated MoO2 nanoclusters anchored on RGO sheets as high-performance electrodes for symmetric supercapacitors
Authors: Si Haochen , Sun Li , Zhang Yu , Zhang Yuanxing , Bai Liqi , Zhang Yihe
Published: November 2018

An RGO@MoO2/C composite is synthesized with carbon-coated MoO2 nanoclusters homogenously loaded on RGO sheets, showing enhanced capacitive performance.
Ultrahigh luminescence quantum yield lanthanide coordination polymer as a multifunctional sensor
Authors: Zheng Kai , Liu Ziqi , Jiang Yefei , Guo Penghu , Li Haoran , Zeng Chenghui , Ng Seik Weng , Zhong Shengliang
Published: November 2018

The investigation and development of advanced multifunctional and sensitive sensors with high luminescent quantum yield and the capability of detecting different analytes, such as metal ions, is imperative.
Two spin-canted antiferromagnetic orderings and a field-induced metamagnetic transition in SrMn2(VO4)2(H2O)2
Authors: Zhang Su-Yun , Guo Wen-Bin , He Zhang-Zhen
Published: November 2018

A new transition-metal vanadate, SrMn2(VO4)2(H2O)2, with a linear-chain structure exhibits two spin-canted orderings and field-induced metamagnetism.
Anion-driven structures and SMM behavior of dinuclear terbium and ytterbium complexes
Authors: Mandal Leena , Biswas Soumava , Cosquer Goulven , Shen Yongbing , Yamashita Masahiro
Published: November 2018

SMM behavior is observed for [Ln2(HL)4(NO3)6] (Ln = Tb and Yb, HL = 8-hydroxyquinaldine) complexes having nine-coordinated lanthanide centres, whereas, [Ln2(HL)4Cl6]·2EtOH complexes, having hexa-coordinated lanthanide centres do not show any SMM property.
Direct study of the electrical properties of PC12 cells and hippocampal neurons by EFM and KPFM
Authors: Zhao Weidong , Cui Wei , Xu Shujun , Cheong Ling-Zhi , Wang Deyu , Shen Cai
Published: November 2018

The study of capacitance gradient by EFM (upper) and contact potential difference by KPFM (lower) of cells in lift modes.
3D quantum theranosomes: a new direction for label-free theranostics
Authors: Chinnakkannu Vijayakumar Sivaprasad , Venkatakrishnan Krishnan , Tan Bo
Published: November 2018

Quantum-scale materials offer great potential in the field of cancer theranostics.
Comprehensive investigations on the action of cationic terthiophene and bithiophene as corrosion inhibitors: experimental and theoretical studies
Authors: Fouda Abdelaziz S. , Ismail Mohamed A. , Temraz Aliaa M. , Abousalem Ashraf S.
Published: November 2018

A modified form of a naturally occurring α-terthienyl compound as a highly efficient corrosion inhibitor used at a very low dose.
Fe2P4O12–carbon composite as a highly stable electrode material for electrochemical capacitors
Authors: Soni Roby , Kurungot Sreekumar
Published: November 2018

A carbon–iron cyclotetraphosphate composite derived from the pyrolysis of a ferric phytate gel is demonstrated as a high-performance and highly durable capacitive material.
A novel polysiloxane elastomer based on reversible aluminum-carboxylate coordination
Authors: Lei Yufeng , Huang Weiyan , Huang Qiuping , Zhang Anqiang
Published: November 2018

A novel crosslinked polysiloxane based on aluminium-carboxylate coordination was designed and studied.
Metabolic functions of the human gut microbiota: the role of metalloenzymes
Authors: Rajakovich Lauren J. , Balskus Emily P.
Published: November 2018

Metalloenzymes play central roles in metabolic functions of the human gut microbiota that are associated with host health and disease.
Large tunability in the mechanical and thermal properties of carbon nanotube-fullerene hierarchical monoliths
Authors: Giri Ashutosh , Tomko John , Gaskins John T. , Hopkins Patrick E.
Published: November 2018

With systematic design, hierarchical three-dimensional carbon based nano-truss structures can possess large tunability in their mechanical and thermal properties.
Microtubule self-healing and defect creation investigated by in-line force measurements during high-speed atomic force microscopy imaging
Authors: Ganser Christian , Uchihashi Takayuki
Published: November 2018

In-line force curves are acquired during high-speed atomic force microscopy imaging with a minimum time delay and are used to study defect creation in microtubules.
Self-assembly of a silicon-containing side-chain liquid crystalline block copolymer in bulk and in thin films: kinetic pathway of a cylinder to sphere transition
Authors: Liao Fen , Shi Ling-Ying , Cheng Li-Chen , Lee Sangho , Ran Rong , Yager Kevin G. , Ross Caroline A.
Published: November 2018

Hierarchical morphologies and transitions of a silicon-containing LCBCP were investigated and the kinetic transition from HEX to BCC is described.
Copper-catalyzed diastereoselective synthesis of β-boryl-α-quaternary carbon carboxylic esters
Authors: Zuo Ya-Jie , Zhong Zhuoran , Fan Yinkun , Li Xiangyu , Chen Xiaolu , Chang Yuwei , Song Ruihu , Fu Xinpeng , Zhang Anling , Zhong Chong-Min
Published: November 2018

Cu(i)-Catalyzed diastereoselective carboboration of α-alkyl-substituted α,β-unsaturated carboxylic esters to produce β-boryl-α-quaternary carbon esters was developed.
Rational design of aggregation-induced emission sensor based on Rhodamine B for turn-on sensing of trivalent metal cations, reversible data protection, and bioimaging
Authors: Yu Hai-Xia , Zhi Junge , Chang Zheng-Feng , Shen Tianjiao , Ding Wei-Lu , Zhang Xiaoling , Wang Jin-Liang
Published: November 2018

A novel AIE-active molecule (TPEThRB) composed of a tetraphenylethene unit as a AIE factor, Rhodamine spirolactam as a receptor, and thiophene ring as a conjugated electron-rich linker was obtained.
Multi-length scale morphology of nonfullerene all-small molecule blends and its relation to device function in organic solar cells
Authors: Angunawela Indunil , Ye Long , Bin Haijun , Zhang Zhi-Guo , Gadisa Abay , Li Yongfang , Ade Harald
Published: November 2018

Device characteristics of a pair of nonfullerene small molecule solar cells were well correlated to their mesoscale morphologyviaresonant soft X-ray scattering.
Bufalin suppresses colorectal cancer cell growth through promoting autophagyin vivoandin vitro
Authors: Pan Zhe , Xie Yunpeng , Bai Jie , Lin Qiuyue , Cui Xiaonan , Zhang Ningning
Published: November 2018

Specific groups in Asia, including the Chinese, are more susceptible to colorectal cancer (CRC).
Alteration of glycosylation in serum proteins: a new potential indicator to distinguish non-diabetic renal diseases from diabetic nephropathy
Authors: Liu Moyan , Yu Hanjie , Zhang Dong , Han Qiuxia , Yang Xiaoli , Liu Xiawei , Wang Jifeng , Zhang Kun , Yang Fuquan , Cai Guangyan , Chen Xiangmei , Zhu Hanyu
Published: November 2018

Glycomics strategies to screen serum biomarker for distinguishing diabetic nephropathy (DN) and nondiabetic renal disease (NDRD).
Colorimetric detection of protein via the terminal protection of small-molecule-linked DNA and unmodified gold nanoparticles
Authors: Zhao Jianwei , Li Cuiping , Ma Guimin , Hao Wenhui , Jia Hongxia
Published: November 2018

A novel colorimetric strategy for protein detection was developed based on unmodified gold nanoparticles (AuNPs) and terminal protection from a target protein.
Experimental study of dust deposition in dynamic granular filters
Authors: Zhou Wenning , Ma Juan , Zeng Guoliang , Liu Baiqian
Published: November 2018

A theoretical explanation and experimental study of dust cake formation and growth in a novel dynamic granular filter are presented.
A highly sensitive and selective fluorescent probe without quencher for detection of Pb2+ ions based on aggregation-caused quenching phenomenon
Authors: Li Qianyun , Jia Yongmei , Feng Zongcai , Liu Fang
Published: November 2018

Fluorescent probe with only a fluorophore but no quencher for detecting Pb2+ on the basis of the aggregation-caused quenching (ACQ) phenomenon.
P4VP–RuII(bda) polyelectrolyte–metal complex as water oxidation catalyst: on the unique slow-diffusion and multi-charge effects of the polyelectrolyte ligand
Authors: Zheng Tao , Zhu Mo , Waqas Muhammad , Umair Ahmad , Zaheer Muhammad , Yang Jinxian , Duan Xiaozheng , Li Lianwei
Published: November 2018

This work shows how the unique slow diffusion and multi-charge properties of the polyelectrolyte ligand dominate the catalytic mechanism for water oxidation catalysts.
First synthesis of novel 2,4-bis((E)-styryl)quinoline-3-carboxylate derivatives and their antitumor activity
Authors: Gao Wentao , Li Zhiyuan , Xu Qiqi , Li Yang
Published: November 2018

One-pot successive Arbuzov/HWE synthesis and preliminary antitumor activity evaluation of 2,4-di((E)-styryl)quinoline-3-carboxylates was described in this study.
Halogeno-substituted indazoles against copper corrosion in industrial pickling process: a combined electrochemical, morphological and theoretical approach
Authors: Qiang Yujie , Zhang Shengtao , Xiang Qin , Tan Bochuan , Li Wenpo , Chen Shijin , Guo Lei
Published: November 2018

The inhibitive properties of four indazole-based compounds on copper corrosion in 0.5 M H2SO4 solution were investigated using electrochemical measurements and molecular modelling methods.
Structure and luminescence properties of La6Ba4(SiO4)6F2:Dy3+ phosphor with apatite structure
Authors: Zhang Jialei , Guo Qingfeng , Liao Libing , Wang Yongjie , He Mingyue , Ye Huan , Mei Lefu , Liu Haikun , Zhou Tianshuai , Ma Bin
Published: November 2018

Single-phase white light emitting La6Ba4(SiO4)6F2:Dy3+ phosphors with good thermal stability were obtained.
A novel electrolyte additive for improving the interfacial stability of LiMn2O4 cathode lithium-ion batteries at elevated temperature
Authors: Huang T. , Zheng X. , Fang G. , Pan Y. , Wang W. , Wu M.
Published: November 2018

Methanesulfonic acid 2,2,3,3-tetrafluoropropyl (TFPMS) is newly explored as a protection additive to improve the interfacial stability of LiMn2O4 cathode/electrolyte at an elevated temperature.
Trimerization and tetramerization of ethylene in continuous gas-phase reaction using a Cr-based supported liquid phase catalyst
Authors: Müller Tobias , Dixon John Thomas , Haumann Marco , Wasserscheid Peter
Published: November 2018

Selective tri- and tetramerization of ethylene in continuous operation was achieved by immobilization of the homogeneous chromium catalyst plus MAO co-catalyst in a thin film of high boiling hydrocarbons.
F10BINOL-derived chiral phosphoric acid-catalyzed enantioselective carbonyl-ene reaction: theoretical elucidation of stereochemical outcomes
Authors: Kikuchi Jun , Aramaki Hiromu , Okamoto Hiroshi , Terada Masahiro
Published: November 2018

An enantioselective carbonyl-ene reaction of 1,1-disubstituted olefins with ethyl glyoxylate was accomplished using an F10BINOL-derived chiral phosphoric acid of which the perfluoro-binaphthyl skeleton is beneficial not only for adopting high catalytic activity but also for creating an effective chiral environment.
Expanding reversible chalcogenide binding: supramolecular receptors for the hydroselenide (HSe−) anion
Authors: Fargher Hazel A. , Lau Nathanael , Zakharov Lev N. , Haley Michael M. , Johnson Darren W. , Pluth Michael D.
Published: November 2018

Synthetic supramolecular receptors have been widely used to study reversible solution binding of anions; however, few systems target highly-reactive species.
Dual-microRNA-controlled double-amplified cascaded logic DNA circuits for accurate discrimination of cell subtypes
Authors: Quan Ke , Li Jing , Wang Jiaoli , Xie Nuli , Wei Qiaomei , Tang Jinlu , Yang Xiaohai , Wang Kemin , Huang Jin
Published: November 2018

We have designed dual-microRNA-controlled cascaded logic DNA circuits for cancer cell subtype identification. The basic idea is to improve sensitivity by cascading DNAzyme and hybridization chain reaction (HCR), and improve accuracy by simultaneous detection of miR-122 and miR-21.
A capillary rise method for studying the effective surface tension of monolayer nanoparticle-covered liquid marbles
Authors: Li Xiaoguang , Wang Renxian , Huang Shuai , Wang Yiqi , Shi Haixiao
Published: November 2018

A capillary rise method was developed to study the effective surface tension of liquid marbles with invisible nanoparticle monolayers.
Surface relief of magnetoactive elastomeric films in a homogeneous magnetic field: molecular dynamics simulations
Authors: Sánchez Pedro A. , Minina Elena S. , Kantorovich Sofia S. , Kramarenko Elena Yu.
Published: November 2018

The structure of a thin magnetoactive elastomeric (MAE) film adsorbed on a solid substrate is studied by molecular dynamics simulations.
Direct synthesis of FeS/N-doped carbon composite for high-performance sodium-ion batteries
Authors: Liu Yanzhen , Zhong Wentao , Yang Chenghao , Pan Qichang , Li Youpeng , Wang Gang , Zheng Fenghua , Xiong Xunhui , Liu Meilin , Zhang Qinyuan
Published: November 2018

Direct synthesis of FeS/N-doped graphitic carbon composite for high-performance sodium-ion batteries.
Interplay between H2O and CO2 coadsorption and space-charge on Y-doped BaZrO3 surfaces
Authors: Polfus Jonathan M. , Yang Jing , Yildiz Bilge
Published: November 2018

Crucial role of coadsorption, surface defects and subsurface space-charge on the surface chemistry of oxides is demonstrated by first-principles calculations.
High thermoelectric performance of Ba3Cu16−x(S,Te)11
Authors: Jafarzadeh Parisa , Oudah Mohamed , Assoud Abdeljalil , Farahi Nader , Müller Eckhard , Kleinke Holger
Published: November 2018

These copper chalcogenides exhibit excellent thermoelectric properties along with demonstrated stability during repeat measurements.
Galectin 3 inhibition attenuates renal injury progression in cisplatin-induced nephrotoxicity
Authors: Li Hong-yan , Yang Shen , Li Jing-chun , Feng Jian-xun
Published: November 2018

Nephrotoxicity is a major toxic effect in chemotherapy, which constitutes up to 60% of hospitalized acute kidney injury (AKI). Very few treatment options exist to slow the transition from AKI to subsequent chronic kidney diseases (CKD). Here, we demonstrate that galectin-3 (Gal-3), a β-galactoside binding lectin that plays an important role in kidney fibrosis and renal failure, is one of the key factors for renal injury progression. Ectopic overexpression of Gal-3 significantly decreased the viability of HEK293, simultaneously inducing of cell cycle arrest and apoptosis. However, inhibition of Gal-3, mediated by modified citrus pectin (MCP), predominantly antagonized the pro-apoptotic effects. Mice were pre-treated with normal or 1% MCP-supplemented drinking water 1 week before cisplatin injection. Analyses of serum creatinine and renal tissue damage indicated that MCP-treated mice demonstrated increased renal function and attenuated renal fibrosis after cisplatin-induced injury. MCP-treated mice also demonstrated decreased renal fibrosis and apoptosis, as revealed by masson trichrome staining and Western blot analysis of cleaved caspase-3. Additionally, the protective role of Gal-3 inhibition in the kidney injury was shown to be mediated by protein kinase C α (PKC-α), which promoted cell apoptosis and collagen I synthesis in HEK293 cells. These results demonstrated the potential Gal-3 and PKC-α as therapeutic targets for the treatment of AKI and CKD.
Internet and Audiology: A Review of the Third International Meeting
Authors: Preminger Jill E. , Laplante-Lévesque Ariane , Saunders Gabrielle H. , Hughes Michelle L.
Published: November 2018

Purpose

In this introduction, the four members of the scientific committee for the Third International Meeting on Internet and Audiology describe the meeting that took place at the University of Louisville on July 27–28, 2017.

Method

This special issue, with a decidedly clinical focus, includes 14 articles that arose from presentations given at the Third International Meeting on Internet and Audiology. All touch upon the theme of innovation as it pertains to teleaudiology and mobile health (mHealth), application of Big Data to audiology, and ethics of internet and telemedicine.

Conclusion

Innovations in teleaudiology, mHealth, and Internet-based audiology are developing at a rapid pace and thus research in the field must continue. We invite readers to the next International Meeting on Internet and Audiology that will take place in Southampton, England, June 17–18, 2019.
No surviving non-compact stellar companion to Cassiopeia A
Authors: Kerzendorf Wolfgang E. , Do Tuan , de Mink Selma E. , Götberg Ylva , Milisavljevic Dan , Zapartas Emmanouil , Renzo Mathieu , Justham Stephen , Podsiadlowski Philipp , Fesen Robert A.
Published: November 2018

Massive stars in binaries can give rise to extreme phenomena such as X-ray binaries and gravitational wave sources after one or both stars end their lives as core-collapse supernovae. Stars in close orbit around a stellar or compact companion are expected to explode as “stripped-envelope supernovae”, showing no (Type Ib/c) or little (Type IIb) signs of hydrogen in the spectra, because hydrogen-rich progenitors are too large to fit. The physical processes responsible for the stripping process and the fate of the companion are still very poorly understood. Aiming to find new clues, we investigate Cas A, which is a very young (∼340 yr) and near (∼3.4 kpc) remnant of a core-collapse supernova. Cas A has been subject to several searches for possible companions, all unsuccessfully. We present new measurements of the proper motions and photometry of stars in the vicinity based on deep HST ACS/WFC and WFC3-IR data. We identify stellar sources that are close enough in projection but using their proper motions we show that none are compatible with being at the location of center at the time of explosion, in agreement with earlier findings. Our photometric measurements allow us to place much deeper (order-of-magnitude) upper limits on the brightness of possible undetected companions. We systematically compare them with model predictions for a wide variety of scenarios. We can confidently rule out the presence of any stellar companion of any reasonable mass and age (main sequence, pre main sequence or stripped) ruling out what many considered to be likely evolutionary scenarios for Type IIb supernova (SN IIb). More exotic scenarios that predict the presence of a compact companion (white dwarf, neutron star or black hole) are still possible as well as scenarios where the progenitor of Cas A was single at the moment of explosion (either because it was truly single, or resulted from a binary that was disrupted, or from a binary merger). The presence of a compact companion would imply that Cas A is of interest to study exotic outcomes of binary evolution. The single-at-death solution would still require fine-tuning of the process that removed most of the envelope through a mass-loss mechanism yet to be identified. We discuss how future constraints from Gaia and even deeper photometric studies may help to place further constraints.
The FRATS project: real-time searches for fast radio bursts and other fast transients with LOFAR at 135 MHz
Authors: ter Veen S. , Enriquez J. E. , Falcke H. , Rachen J. P. , van den Akker M. , Schellart P. , Bonardi A. , Breton R. P. , Broderick J. W. , Corbel S. , Corstanje A. , Eislöffel J. , Grießmeier J.-M. , Hörandel J. R. , van der Horst A. J. , Law C. J. , van Leeuwen J. , Nelles A. , Rossetto L. , Rowlinson A. , Winchen T. , Zarka P.
Published: November 2018

Context. In the previous decade, two new classes of fast radio transients were detected: the Galactic, rotating radio transients (RRATs) and the extragalactic fast radio bursts (FRBs). If the detectable emission of these objects extends to lower radio frequencies, the LOw Frequency ARray (LOFAR) is ideally suited to seek and localize these transients at frequencies of 10–250 MHz. This is due to LOFAR’s sensitivity, diverse beamform capabilities, and transient buffers for the individual elements that allow post-event imaging of events, potentially at arcsecond resolution.

Aims. Our aim is to identify and localize pulses at frequencies below 250 MHz and, in the case of nondetections, derive upper limits on the sky and volume rates of FRBs.

Methods. A real-time search program for fast radio transients is installed on the LOFAR systems which runs commensally with other observations, and uses the wide incoherent LOFAR beam (11.25 deg2 at 150 MHz). Buffered data from hundreds of dipoles are used to reconstruct the direction and polarization information of the event, and to distinguish between celestial, terrestrial, and instrumental origins.

Results. Observations were taken covering either the frequency range 119–151 MHz or in four frequency bands, each of 2 MHz in width, centered at 124, 149, 156, and 185 MHz. A first pilot survey covered a range of dispersion measures (DM) below 120 pc cm−3, focusing on Galactic sources, and resulted in an upper limit on the transient rate at LOFAR frequencies of less than 1500 events per sky per day above a fluency of 1.6 kJy ms for an 8-ms pulse. A second pilot survey covered a range of DMs below 500 pc cm−3, focusing on extragalactic sources to about 1 Gpc, and resulted in an upper limit of 1400 events per sky per day above a fluency of 6.0 kJy ms for an 8-ms pulse. Using a model for the distance-DM relationship, this equates to an upper limit of 134 events per Gpc3 per day.
The LOFAR Two-metre Sky Survey
Authors: Williams W. L. , Hardcastle M. J. , Best P. N. , Sabater J. , Croston J. H. , Duncan K. J. , Shimwell T. W. , Röttgering H. J. A. , Nisbet D. , Gürkan G. , Alegre L. , Cochrane R. K. , Goyal A. , Hale C. L. , Jackson N. , Jamrozy M. , Kondapally R. , Kunert-Bajraszewska M. , Mahatma V. H. , Mingo B. , Morabito L. K. , Prandoni I. , Roskowinski C. , Shulevski A. , Smith D. J. B. , Tasse C. , Urquhart S. , Webster B. , White G. J. , Beswick R. J. , Callingham J. R. , Chyży K. T. , de Gasperin F. , Harwood J. J. , Hoeft M. , Iacobelli M. , McKean J. P. , Mechev A. P. , Miley G. K. , Schwarz D. J. , van Weeren R. J.
Published: November 2018

The LOFAR Two-metre Sky Survey (LoTSS) is an ongoing sensitive, high-resolution 120–168 MHz survey of the northern sky with diverse and ambitious science goals. Many of the scientific objectives of LoTSS rely upon, or are enhanced by, the association or separation of the sometimes incorrectly catalogued radio components into distinct radio sources and the identification and characterisation of the optical counterparts to these sources. We present the source associations and optical and/or IR identifications for sources in the first data release, which are made using a combination of statistical techniques and visual association and identification. We document in detail the colour- and magnitude-dependent likelihood ratio method used for statistical identification as well as the Zooniverse project, called LOFAR Galaxy Zoo, used for visual classification. We describe the process used to select which of these two different methods is most appropriate for each LoTSS source. The final LoTSS-DR1-IDs value-added catalogue presented contains 318 520 radio sources, of which 231 716 (73%) have optical and/or IR identifications in Pan-STARRS and WISE.
A ring in a shell: the large-scale 6D structure of the Vela OB2 complex
Authors: Cantat-Gaudin T. , Mapelli M. , Balaguer-Núñez L. , Jordi C. , Sacco G. , Vallenari A.
Published: November 2018

Context. The Vela OB2 association is a group of ∼10 Myr stars exhibiting a complex spatial and kinematic substructure. The all-sky Gaia DR2 catalogue contains proper motions, parallaxes (a proxy for distance), and photometry that allow us to separate the various components of Vela OB2.

Aims. We characterise the distribution of the Vela OB2 stars on a large spatial scale, and study its internal kinematics and dynamic history.

Methods. We make use of Gaia DR2 astrometry and published Gaia-ESO Survey data. We apply an unsupervised classification algorithm to determine groups of stars with common proper motions and parallaxes.

Results. We find that the association is made up of a number of small groups, with a total current mass over 2330 M⊙. The three-dimensional distribution of these young stars trace the edge of the gas and dust structure known as the IRAS Vela Shell across ∼180 pc and shows clear signs of expansion.

Conclusions. We propose a common history for Vela OB2 and the IRAS Vela Shell. The event that caused the expansion of the shell happened before the Vela OB2 stars formed, imprinted the expansion in the gas the stars formed from, and most likely triggered star formation.
Analysis of broad-lined Type Ic supernovae from the (intermediate) Palomar Transient Factory
Authors: Taddia F. , Sollerman J. , Fremling C. , Barbarino C. , Karamehmetoglu E. , Arcavi I. , Cenko S. B. , Filippenko A. V. , Gal-Yam A. , Hiramatsu D. , Hosseinzadeh G. , Howell D. A. , Kulkarni S. R. , Laher R. , Lunnan R. , Masci F. , Nugent P. E. , Nyholm A. , Perley D. A. , Quimby R. , Silverman J. M.
Published: November 2018

We study 34 Type Ic supernovae that have broad spectral features (SNe Ic-BL). This is the only SN type found in association with long-duration gamma-ray bursts (GRBs). We obtained our photometric data with the Palomar Transient Factory (PTF) and its continuation, the intermediate PTF (iPTF). This is the first large, homogeneous sample of SNe Ic-BL from an untargeted survey. Furthermore, given the high observational cadence of iPTF, most of these SNe Ic-BL were discovered soon after explosion. We present K-corrected Bgriz light curves of these SNe, obtained through photometry on template-subtracted images. We analyzed the shape of the r-band light curves, finding a correlation between the decline parameter Δm15 and the rise parameter Δm−10. We studied the SN colors and, based on g − r, we estimated the host-galaxy extinction for each event. Peak r-band absolute magnitudes have an average of −18.6 ± 0.5 mag. We fit each r-band light curve with that of SN 1998bw (scaled and stretched) to derive the explosion epochs. We computed the bolometric light curves using bolometric corrections, r-band data, and g − r colors. Expansion velocities from Fe II were obtained by fitting spectral templates of SNe Ic. Bolometric light curves and velocities at peak were fitted using the semianalytic Arnett model to estimate ejecta mass Mej, explosion energy EK and 56Ni mass M(56Ni) for each SN. We find average values of Mej = 4 ± 3 M⊙, EK = (7 ± 6)×1051 erg, and M(56Ni)=0.31  ±  0.16 M⊙. The parameter distributions were compared to those presented in the literature and are overall in agreement with them. We also estimated the degree of 56Ni mixing using scaling relations derived from hydrodynamical models and we find that all the SNe are strongly mixed. The derived explosion parameters imply that at least 21% of the progenitors of SNe Ic-BL are compatible with massive (> 28 M⊙), possibly single stars, whereas at least 64% might come from less massive stars in close binary systems.
The Application of Tree-based model to Unbalanced German Credit Data Analysis
Authors: Chen Zhengye
Published: November 2018

With the development of financial consumption, demand for credit has soared. Since the bank has detailed client data, it is important to build effective models to distinguish between high-risk groups and low-risk groups. However, traditional credit evaluation methods including expert opinion, credit rating and credit scoring are very subjective and inaccurate. Moreover, the data are highly unbalanced since the number of high-risk groups is significantly less than that of low-risk groups. Progress in machine learning makes it possible to conduct accurate credit analysis. The tree-based machine learning models are particularly suitable for the unbalanced credit data by weighting the credit individuals. We apply a series of tree-based machine learning models to analyze the German Credit Data from the UCI Repository of Machine Learning Databases.
Dual Minkowski Loss for Face Verification of Convolutional Network
Authors: Wang Dandan , Chen Yan
Published: November 2018

Despite face recognition and verification have achieved great success in recent years, these achievements are experimental results on fixed data sets. Implementing these outstanding technologies in the field of undeveloped data sets presents serious challenges. We adopt three state-of-the-art pre-trained models on an entire new dataset University Test System Database (UTSD), however the results are far from satisfactory. Therefore, two methods are adopted to solve this problem. The first way is data augmentation including horizontal flipping, cropping and RGB channels transform, which can solve the imbalance of label pairs. The second way is the combination of Manhattan Distance and Euclidean Distance, we call it Dual Minkowski Loss (DML). Through the implementation of photo augmentation and innovative method on UTSD, the accuracy of face verification has been significantly improved, achieving the best 99.3%.
Hybrid Recommendation Algorithm for Potential Features of Users in Social Networks Based on Swarm Intelligence
Authors: Lu Xing-Hua , Liu Ming-Yuan , Huang Hao-Hong , Wu Hong-Yu
Published: November 2018

The intelligent recommendation ability of social networks is improved, a hybrid recommendation algorithm is proposed based on swarm intelligence for users' potential features in social networks. The feature extraction model of social network users is constructed, and the potential features and associated information of social network users are divided by swarm intelligence optimization technology, and the user features are learned by swarm intelligence and association rules mining. The related information of recommended items in social network is obtained, and the improvement of user item feature recommendation algorithm of social network is realized. The simulation results show that the proposed algorithm can effectively improve the accurate delivery rate of user feature recommendation in social network, and the hybrid recommendation ability for user behavior is strong, the network overhead is stable and the performance is superior
Design on routing optimization algorithm based on complex network
Authors: Guo Yang , Zhou Jinhe
Published: November 2018

In order to solve the problem of information flow network transmission and congestion control in complex internet networks, A new and complicated routing network algorithm based on network evolution simulation model is proposed, An improved method is proposed for a typical static local routing algorithm in an SRTD network. This method adds a node message queue length as a main parameter. The variable parameters can be used to adjust the node processing capacity and the weight of node packet queue length in the routing policy. And to a certain extent, the efficiency of simulation is improved and the purpose of network optimization is achieved.
A study on the subject classification of the NBA match reports
Authors: Wang Zhe , Li Baoan , Lv Xueqiang , Dong Zhian
Published: November 2018

In this paper, we study the task of template building in automatically generate NBA match reports from NBA live text. As a preliminary study, we collect and process the historical reports compiled by the editors and get different kinds of sentences. Our innovative proposal is to divide the NBA match reports into 11 categories, which covering almost all cases. We use different machine learning methods to classify sentences. Each class finally constructs a template library to service the next automatic writing. By comparing different methods, we get a higher accuracy classification structure. The evaluation results show that our method does construct a template library.
Design and implementation of Peking Opera action scoring system based on human skeleton information
Authors: Zhao Hang , Ding Youdong , Yu Bing , Jiang Chenfeng , Zhang Wanying
Published: November 2018

At present, most of the preservation records of Peking Opera remain in the ways of video and text, and the digitalization degree is far lower than the development level of science and technology. The immaterial cultural heritage cannot be fully displayed and Peking Opera’s value is weakened. Therefore, adopting advanced motion capture technology is of great significance to the protection and inheritance of Peking Opera. We use optical motion capture equipment to record the movement information of Peking Opera actors, then keep the human skeleton information in a specific file format. After that, the hierarchical human action skeleton model was analysed, and the final score was obtained by comparing the change sequence of information of reference action and training action skeleton with the improved DTW algorithm. We have realized the graphical interface of the system, and the trainer can easily select the action segments to train or select a specific body part for specific action training. This paper introduces the overall design framework of our Peking Opera action scoring system, including the collection of action information, the implementation of scoring algorithm and the design of software interface.
Machine Users Detection on Sina Weibo Platform
Authors: Huang Meigen , Zhou Lihan , Wang Yu
Published: November 2018

In recent years, the rapid development of Sina Weibo has made it the representative of many Weibo platforms in China. Sina Weibo has attracted large numbers of users in China because of its fast speed of information dissemination, simple use and many star users. More and more Chinese people get news and share information through Sina Weibo. In addition to the normal users, Sina Weibo also appeared on some machine users, these users are generated in order to create false sentiment, which seriously affected the good order of the Sina Weibo platform. By studying normal users and machine users, this paper extracts eight features, they are the number of followings, the number of followers, the number of Weibos, the number of years using Sina Weibo, Sunshine credit, the number of Weibos you like, the proportion of following others by recommending and the ratio of followings and followers. Naive Bayes classification approach, KNN classification approach and SVC classification approach are used for experiment. The experimental results show that the recall rate of the machine users detection is above 96% and the accuracy rate is above 98%, which validates the validity of the features extracted in this paper.
Heterogeneous belief formation method based on BP neural network
Authors: Zhuang Yifan , Wang Hongwei , Chen Xi
Published: November 2018

The BDI model has always been the focus of subject modeling research, which includes three kinds of thinking states of the rational subject: Belief, Desire and Intention. Belief is the cognition of agent to the world; it is a collection of environmental information, other agent information, and its own information that the agent has; and it is also the basis of the agent's thinking activity. Due to differences in the individual's living environment and experience, the formation of heterogeneous beliefs is an important issue in the BDI model study. This article divides individual belief set into two parts: knowledge belief and achievable belief. This article proposes an overall framework for the formation of individual heterogeneity beliefs: First, the individual's knowledge experience is modeled, and the empirical knowledge is structured and quantified into binary propositions; then the BP neural network learn and memory propositions of different combinations to form heterogeneous beliefs. Experiments show that this method can simulate the heterogeneity of individual beliefs caused by the individual's own experience, and can realize the belief generation mechanism of gradual information flow, limited attention and heterogeneous priors.
An optimizing nested MIMO array with hole-free difference coarray
Authors: Liu Qiaoge , Wang Buhong , Li Xia , Tian Jiwei , Cheng Tianhao , Liu Shuaiqi
Published: November 2018

According to the newly proposed nested MIMO (Multiple-Input Multiple-Input Multiple Output Multiple Array) array design method, we propose to replace the traditional nested array into an optimizing nested array, ie, to optimizing nested MIMO array design. It not only retains the original advantage of nested MIMO array design closed expression with array element position and degree of freedom(DOF), but also greatly improves the array aperture and DOF. Optimizing nested MIMO array firstly uses the optimizing nested array as the transmitting and receiving arrays, and then make the difference set processing for the coarray of MIMO array (coarray, CA). By properly designing the array spacing of the transmitting and receiving arrays, we can obtain a non-porous difference array. When the total number of array elements is given, by analyzing the characteristics of the array structure, the best array element number of the transmitting and receiving arrays can be obtained. Simulation experiments show that compared with the nested MIMO array design, the proposed method can effectively expand the array aperture, increase the DOF, and increase the DOA estimation accuracy of the MIMO radar without increasing the number of actual array elements.
Application of spatially related MRF model in NMF hyperspectral unmixing
Authors: Yuan Bo
Published: November 2018

Aiming at Non-negative Matrix Factorization (NMF)’s problem of initialization and "local minima" in hyperspectral unmixing, a NMF linear unmixing algorithm with spatial correlation constrains (SCNMF) based on Markov Random Field (MRF) was proposed. Firstly, Hyperspectral Signal identification by minimum error (HySime) method was adopted to estimate the number of endmembers, initialized endmember matrix and abundance matrix by Vertex Component Analysis (VCA) and Fully Constrained Least Squares (FCLS) respectively. then established energy function to depict the spatial distribution characteristics of ground objects by MRF model. Finally, spatial correlation constraint based on MRF model and NMF standard objective function were combined in the form of altemating iteration to estimate endmember spectrum and abundance of hyperspectral image. Theoretical analysis and experimental results indicated that, the endmember decomposition precision of SCNMF is 10.6% higher than that of Minimum Volume Constrained NMF (MVC-NMF), 12.3% higher than that of Piecewise Smoothness NMF with Sparseness Constraints(PSNMFSC), 14.1% higher than that of NMF with Alternating Projected Subgradients(APS-NMF); the abundance decomposition precision of SCNMF is 14.4% higher than that of MVC-NMF, 15.9% higher than that of PSNMFSC, 15.3% higher than that of APS-NMF.The proposed SCNMF can remedy NMF's deficiency in describing spatial correlation characteristics, and decrease spatial energy distribution error.
A Safety Evaluation-based Image Quality Method for Roads and Bridges
Authors: Li Na , Gong Xingyu
Published: November 2018

A computer-aided automatic safety evaluation method is proposed based on quality evaluation on digital images of roads or bridges and other image information collected by highway monitoring devices. Images of qualified roads or bridges are selected to form a reference image database, and reference image sequence and evaluation image sequence are established separately. Then combined with the peak signal to noise ratio (PSNR) and the human visual characteristic information entropy, a safety evaluation function with dynamic weights is obtained. At last, the evaluating algorithm is used to compare similarities between evaluation images and reference images to judge the quality of roads or bridges and get a sequence of evaluation parameters sequence. If the value of the evaluation parameter is greater than the threshold, the road or bridge quality changes greatly, and therefore artificial inspection is required. The experimental results show that the evaluation is consistent with the subjective perception of human vision, and the method proposed in this paper has high degree of automation.
Characteristics Analysis and Modelling of a Pneumatic Underwater Launching System
Authors: Li Bin , Guo Song , Li Wei , Zhang Deman , Wang Nei
Published: November 2018

Comprehensive characteristics of a pneumatic underwater launching system were analyzed and the simulation was carried out by simulink. The components of the pneumatic underwater launching system were introduced, and the theoretical calculation formula for the system was derived. A rated pressure of 3.5MPa and 5MPa was offered in the numerical work. Analyses in different piston height show good behaviors: Proper increase of piston-initial accumulator pressure is beneficial to reduce hydrodynamic noise, choose the appropriate pressure of accumulator. The hydrodynamic noise of the system can be significantly reduced by optimizing the structure of the double-acting cylinder, increasing the height of the piston and improving the structure of the piston.
Research of three dimensional laser scanning coordinate measuring machine
Authors: Jiang Zhihua , Zhang Wenjian , Cui Lizhen
Published: November 2018

Three dimensional laser scanning coordinate measuring machine is suitable for the measurement of 3D printing products, and its measuring range depends on the three coordinate measuring machine. It is the main 3D printing product measuring instrument [1]. In this paper, the principle of laser scanning three coordinate measuring machine is analyzed. The accuracy and reliability of the calibration system for 3D printing products are verified. According to the newly revised JJF 1064 Calibration specification for coordinate measuring machines [3], it is calibrated.
Facial Age Estimation Method Based on Fusion Classification and Regression Model
Authors: Jiang Fengbing , Zhang Yu , Yang GuoLiang
Published: November 2018

Due to the large individual differences in the facial features of each person and the fact that the age has a certain time sequence, the age estimation based on face images faces certain difficulties. This article proposes a method based on fusion classification and regression model: A classification model and a regression model are added to the convolutional neural network to train the network under the premise of sharing convolutional layer parameters. The classification of the age of the label is used to code the age distribution, and the age is regressed using the Euclidean distance. The final predicted value of the model is the average of the two. Experiments show that the effect of fusion classification and regression model is better than that of a single model, which improves the accuracy of age estimation.