bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fast‐Response Fluorogenic Probe for Visualizing Hypochlorite in Living Cells and in Zebrafish
Authors: Ding Yang , Xu Chenchen , Li Zheng , Qin Wenjing , Han Xisi , Han Xu , Zhang Chengwu , Yu Changmin , Wang Xuchun , Li Lin , Huang Wei 
Published: November 2018

AbstractA fast‐response fluorogenic probe—compound D1—for monitoring hypochlorite (ClO−), based on specific ClO− cleavage of a C=N bond and producing results observable to the naked eye, has been developed. The response of the probe to ClO− increases linearly, and the fluorescence intensity was heightened by a factor of about 25. D1 responses to ClO−, with high selectivity and sensitivity, were observable by naked eye within 10 s. D1 can not only detect levels of hypochlorite in vitro, such as in urine, but is also capable of monitoring hypochlorite content under extremely cold conditions, as low as −78 °C. Meanwhile, its good biocompatibility permitted the use of D1 to detect intracellular ClO− by confocal microscopy. Moreover, D1 was successfully applied to monitor exogenous and endogenous ClO− in zebrafish through fluorescence imaging.
Sesquiterpenoids Produced by Combining Two Sesquiterpene Cyclases with Promiscuous Myxobacterial CYP260B1
Authors: Yuan Yujie , Litzenburger Martin , Cheng Shu , Bian Guangkai , Hu Ben , Yan Pan , Cai Yousheng , Deng Zixin , Bernhardt Rita , Liu Tiangang 
Published: November 2018

AbstractSesquiterpenes represent a class of important terpenoids with high structural diversity and a wide range of applications. The cyclized core skeletons are generated by sesquiterpene cyclases, and the structural diversity is further increased by a series of modification steps. Cytochromes P450 (P450s) are a class of monooxygenases and one of the main contributors to the structural diversity of natural products. Some of these P450s show a broad substrate range and might be promising candidates for the implementation of cascade reactions. In this study, a combinatorial biosynthesis approach was utilized by the combination of a promiscuous myxobacterial P450 (CYP260B1) with two sesquiterpene cyclases (FgJ01056, FgJ09920) of filamentous fungi. Two oxygenated products, culmorin and culmorone, and a new compound, koraidiol, were successfully generated and characterized. This approach suggests the potential use of noncognate P450s to produce novel oxygenated terpenoids, or to generate a novel biosynthetic route for known terpenoids by a combinatorial biosynthesis strategy.
The Nature of the Electro‐Oxidative Catalytic Response of Mixed Metal Oxides: Pt‐ and Ru‐Doped SnO2 Anodes
Authors: Berenguer Raul , Quijada Cesar , Morallón Emilia 
Published: November 2018

AbstractThe catalytic behavior of metal oxides for oxidative reactions is generally classified into active or non‐active, depending on whether surface redox species participate or not. In the case of mixed metal oxides, however, this simplified scenario may be more complex. Non‐active oxides containing electroactive metal species, like Pt‐ and/or Ru‐doped SnO2 electrodes, are promising anode materials for the electrochemical treatment of wastewaters. This work analyzes the effect of Pt and Ru species on the nature of the electro‐oxidative catalytic response of Ti/SnO2 anodes. For this purpose, the electro‐oxidation of phenol and the competing oxygen evolution reaction (OER) in NaOH have been chosen as model reactions. The different electrodes and reactions were characterized by cyclic voltammetry, electrochemical impedance spectroscopy, and Tafel measurements. The obtained results reveal that both Pt and Ru introduce solid‐state redox processes and catalyze the OER and the phenol oxidation onto Ti/SnO2‐based electrodes. Nevertheless, the dopants induce quite different active behaviors in the mixed oxides. Pt practically does not affect the OER mechanism, but enhances its kinetics, so its electrocatalytic activity is associated with a specific adsorption of hydroxyl anions or phenolate on Pt sites, without participation of the irreversible Pt/PtOx couple (i. e. a “non‐redox‐active” behavior). On the contrary, Ru species involve various and highly reversible redox processes that accelerate and modify the rate‐determining step of the OER, and that actively mediate in the phenol oxidation.
A Multicolor Large Stokes Shift Fluorogen‐Activating RNA Aptamer with Cationic Chromophores
Authors: Steinmetzger Christian , Palanisamy Navaneethan , Gore Kiran R. , Höbartner Claudia 
Published: November 2018

AbstractLarge Stokes shift (LSS) fluorescent proteins (FPs) exploit excited state proton transfer pathways to enable fluorescence emission from the phenolate intermediate of their internal 4‐hydroxybenzylidene imidazolone (HBI) chromophore. An RNA aptamer named Chili mimics LSS FPs by inducing highly Stokes‐shifted emission from several new green and red HBI analogues that are non‐fluorescent when free in solution. The ligands are bound by the RNA in their protonated phenol form and feature a cationic aromatic side chain for increased RNA affinity and reduced magnesium dependence. In combination with oxidative functionalization at the C2 position of the imidazolone, this strategy yielded DMHBO+, which binds to the Chili aptamer with a low‐nanomolar KD. Because of its highly red‐shifted fluorescence emission at 592 nm, the Chili–DMHBO+ complex is an ideal fluorescence donor for Förster resonance energy transfer (FRET) to the rhodamine dye Atto 590 and will therefore find applications in FRET‐based analytical RNA systems.
The cognitive effects of endocrine therapy in survivors of breast cancer: A prospective longitudinal study up to 6 years after treatment
Authors: Van Dyk Kathleen , Crespi Catherine M. , Bower Julienne E. , Castellon Steven A. , Petersen Laura , Ganz Patricia A. 
Published: November 2018

AbstractBackgroundAfter treatment of primary breast cancer, endocrine therapy (ET) is prescribed for patients with hormone receptor–positive cancers. Despite ET recommendations of 5 to 10 years of treatment, to the authors’ knowledge there is little prospective study of its impact on cognitive function over an extended period of time. ET has known pharmacologic effects on the brain. Cognitive side effects are a concern for many women, with mixed findings reported in various studies. The current prospective longitudinal study examined the neuropsychological effects of ET over time, up to 6 years after treatment.MethodsA total of 189 survivors of early‐stage breast cancer enrolled in the study prior to initiating ET if prescribed, and were followed at 6 months (175 patients), 12 months (173 patients), and for 3 to 6 years (102 patients) with self‐report and neuropsychological assessments. Using linear mixed models, the authors examined whether neuropsychological performance or impairment rates differed over time based on whether or not ET was received.ResultsThe authors did not find any effect of ET on neuropsychological performance or impairment at any time point among survivors who received it compared with women who did not. However, those who participated in the 3‐year to 6‐year year visit demonstrated better executive function at baseline.ConclusionsIn the current observational cohort study, no detrimental effect of ET on cognitive function was identified in survivors of early‐stage breast cancer receiving treatment with ET compared with those who were not.
Reducing Adhesion for Dispensing Tiny Water/Oil Droplets and Gas Bubbles by Femtosecond Laser‐Treated Needle Nozzles: Superhydrophobicity, Superoleophobicity, and Superaerophobicity
Authors: Yong Jiale , Singh Subhash C. , Zhan Zhibing , Huo Jinglan , Chen Feng , Guo Chunlei 
Published: November 2018

AbstractThree‐level microstructures were formed on the stainless‐steel surfaces by simple femtosecond laser ablation. The structured surfaces exhibit superhydrophilicity in air and superoleophobicity/superaerophobicity in water. After further stearic acid modification, the surfaces turned to superhydrophobicity and underwater superoleophilicity/superaerophilicity. Through this technique, the nozzle of a needle is transformed to possess superwettabilities. When the nozzles were used to release liquid and gas, the sizes of the dispensed water and oil droplets and air bubbles were dramatically reduced. Particularly, we demonstrate that the underwater superaerophobic nozzle could dispense air bubbles in nanoliter volume without the need of reducing the nozzle diameter. The liquid retention at the opening of the needle was also effectively prevented. Therefore, the reduced droplet/bubble size and retention allow us to achieve a dramatically enhanced volume accuracy and resolution during manipulation and transport of aqueous solutions and gases. The femtosecond laser‐induced superwetting nozzles can be used in high‐resolution liquid transport, inkjet printing, 3D printing, pipettes, medical devices, cell engineering, biological detection, microchemical reactor, and reducing industrial gas emission.
Chemical characterization and origin of dyes used in the manufacture of Beninese cultural heritage objects
Authors: Fagbohoun Louis , Mathe Carole , Gbaguidi Fernand A. , Ayedoun Marc A. , Moudachirou Mansourou , Vieillescazes Cathy 
Published: November 2018

AbstractSix objects of Beninese cultural heritage provided by African and Confluences museums of Lyon (France) were the focus of this study. The characterization of colored compounds was achieved using: microchemical tests, Fourier transform infrared spectroscopy and liquid chromatography coupled to a photodiode array detector. The main results reflect the presence of organic compounds like indigotin, 2‐hydroxynaphthoquinone, and mineral ions such as Al3+, S2−, Na+, and Fe3+. Dyes were identified from Philenoptera cyanescens (Yoruba indigo) and Lawsonia inermis L. (henna); pigments were identified as laundry blue, Prussian blue, and iron oxides. All of these data therefore make possible the conservation and the restoration of these objects while maintaining their visual and functional integrity.
CENSOR: Cloud‐enabled secure IoT architecture over SDN paradigm
Authors: Conti Mauro , Kaliyar Pallavi , Lal Chhagan 
Published: November 2018

SummaryThe cyber‐security threats to low‐cost end‐user devices could severely undermine the expected deployment of Internet of Thing (IoT) solutions in a range of real‐world applications such as environment monitoring, transportation, and manufacturing. Additionally, the huge amount of data generated by these devices posses new challenges concerning tasks such as efficient information acquisition and analysis, decision making, and action implementation. In this paper, we propose CENSOR, a novel cloud‐enabled secure IoT network architecture based on SDN paradigm. We discuss the significant benefits as well as challenges that are inherent while performing integration of SDN and IoT in CENSOR. We show that the emerging software‐based networking features combined with the cloud computing solutions can significantly improve the security and communication reliability in the target IoT scenarios. In particular, to provide the adequate security measures in the network, CENSOR uses a lightweight and scalable software remote attestation scheme, which ensures the integrity of the software that is being executed by the IoT devices to achieve the application specific goals in the network. We further discuss the improvements in data communication and data overhead that can be achieved in CENSOR due to its convergence with the cloud computing (at back‐end) and fog computing services (at edge routers or front‐end). A Smart City use‐case has been considered as a target IoT scenario to analyze the feasibility and effectiveness of CENSOR concerning the communication security and the network scalability parameters. Additionally, we provide future research directions along with the recent industry initiatives that include open issues in the integration and deployment of cloud‐enabled SDN‐based IoT networks.
A novel deep learning method for extracting unspecific biomedical relation
Authors: Bai Tian , Wang Chunyu , Wang Ye , Huang Lan , Xing Fuyong 
Published: November 2018

SummaryBiomedical relation extraction is an important research subject in Natural language processing (NLP). Deep learning technology has shown greater value in improving accuracy of relation extraction results recently. Existing methods mostly focus on extracting (1) specific relation from short texts (eg, drug‐drug interaction and protein‐protein interaction) and (2) unspecific relation from full text corpora. However, extracting unspecific relation from short text, which is more and more important in practical use, is rarely studied. In this paper, a new model called MAT‐LSTM is proposed to extract unspecific relation from short text in biomedical literatures. Experiments on two Biocreative benchmark datasets and one BioNLP benchmark datasets were made to measure the validity of the proposed model MAT‐LSTM, and better performance is achieved. The MAT‐LSTM model is also applied practically in extracting unspecific relation contained in the PubMed literatures. The results extracted from PubMed by using the proposed model were verified by experts mostly, indicating the practical value of the MAT‐LSTM model.
ID‐based dynamic replicated data auditing for the cloud
Authors: Yu Haiyang , Cai Yongquan , Sinnott Richard O. , Yang Zhen 
Published: November 2018

SummaryAs an essential component of cloud computing, cloud storage provides flexible data storage services for individuals and organizations. By storing multiple replicas of data in servers, cloud storage providers (CSPs) can improve availability and stability of the cloud storage service. To ensure that all data replicas of a cloud user are intact and completely stored in the CSP, many multi‐replica cloud auditing schemes have been proposed. However, such schemes are predominantly based on the public key infrastructure (PKI), which incurs complex certificate management. In addition, existing schemes do not consider support for sector‐level dynamic auditing. In this paper, we propose a fine‐grained dynamic multi‐replica data auditing scheme that has the following features: (1) it uses ID‐based cryptography to eliminate the cost of certificate management, (2) it supports efficient sector‐level dynamic operations on cloud user data, and (3) it optimizes the challenge algorithm to reduce the computational cost of the third party auditor (TPA). We show that the proposed scheme is provably secure based on a random oracle model. The performance analysis and experiments show the efficiency of the proposed scheme.
Prediction confidence‐based dynamic selection and weighted integration
Authors: Li Lei‐Jun , Li Mei‐Zheng , Mi Ju‐Sheng , Xie Bin 
Published: November 2018

SummaryEnsemble learning is a successful learning paradigm and has gained considerable attention due to good generalization performance. Selection and integration of base learners are two key issues to construct an ensemble system. In this paper, a new kind framework of dynamic selection and weighted integration is proposed based on prediction confidence. In order to predict a sample, the base learners whose prediction confidences on the sample greater than or equal to a specified threshold are selected, and a final prediction is made based on the selected base learners with weighted integration. In weighted integration, the weight of a learner is computed based on its prediction confidence. Since the prediction confidences on different samples are different, the selected base learners as well as the weights are usually different for different samples. The computation of threshold is a key to the proposed framework. In classification ensemble, the threshold is computed via minimization of margin loss. In regression ensemble, the threshold is computed via minimization of prediction error. We analyze the rationality of the proposed framework in detail, and compare it with some other popular methods based on UCI classification tasks and short‐term wind speed prediction, respectively. Experimental results validate its effectiveness.
Improving resolution of medical images with deep dense convolutional neural network
Authors: Wei Shuaifang , Wu Wei , Jeon Gwanggil , Ahmad Awais , Yang Xiaomin 
Published: November 2018

SummaryDoctors always desire high‐resolution medical images to have accurate diagnosis. Super‐resolution (SR) is a technology that can improve the resolution of medical images. Convolutional neural network (CNN)–based SR methods have achieved desired performance in natural images. In this paper, we apply a deep dense SR (DDSR) convolutional neural networks model to two types of medical images, including Computerized Tomography (CT) images and Magnetic Resonance imaging (MRI) images. This network densely connects every hidden layer to learn high‐level features, which was first proposed for object recognition. A set of medical images is used for experiments. We compare the performance of DDSR with three state‐of‐the‐art SR network models, including SR Convolutional Neural Network (SRCNN), Fast SR Convolutional Neural Network (FSRCNN), and Very Deep SR Convolutional Neural Network (VDSR). Both the objective indices and subjective evaluations are used for comparison. The results show that the proposed network has better performances both on CT and MRI images.
Superweak Coordinating Anion as Superstrong Enhancer of Cyanine Organic Semiconductor Properties
Authors: Gesevičius Donatas , Neels Antonia , Yakunin Sergii , Hack Erwin , Kovalenko Maksym V. , Nüesch Frank , Heier Jakob 
Published: November 2018

AbstractThe superweak tetrakis(nonafluoro‐tert‐butoxy)aluminate coordinating anion was employed to introduce pseudo‐gas‐phase conditions to the 2‐[5‐(1,3‐dihydro‐1,3,3‐trimethyl‐2H‐indol‐2‐ylidene)‐1,3‐pentadien‐1‐yl]‐1,3,3‐trimethyl‐3H‐indolium chromophore. The resulting formation of a photoactive organic–inorganic hybrid salt has led to a highly stabilized excited state of the organic chromophore mainly due to the minimized lattice energy and Coulomb interactions. These highly beneficial features caused by the well dispersed negative charge of the anion have led to an enhanced neat spin‐casted film fluorescence intensity, prolonged fluorescence lifetime, smooth thin film surfaces and a record power photovoltaic efficiency of 3.8 % when compared to organic salts of this particular chromophore containing anions with localised negative charge. Clear evidence is given that a superweak coordinating anion is an emerging key parameter in cyanine dye photochemistry. This approach can be seen as a general guideline to prepare highly efficient ionic dyes for organic semiconductor applications.
Interleaved Dual NMR Acquisition of Equivalent Transfer Pathways in TOCSY and HSQC Experiments
Authors: Nolis Pau , Motiram‐Corral Kumar , Pérez‐Trujillo Míriam , Parella Teodor 
Published: November 2018

AbstractA dual NMR data acquisition strategy to handle and detect two active equivalent transfer pathways is presented and discussed. We illustrate the power of this time‐efficient approach by collecting two different 2D spectra simultaneously in a single experiment: i) TOCSY or HSQC‐TOCSY spectra with different mixing times, ii) F2‐13C‐coupled and decoupled HSQC spectra, iii) conventional and pure‐shift HSQC spectra, or iv) complementary HSQC and HSQC‐TOCSY spectra.
Stakeholder engagement in green place branding: A focus on user‐generated content
Authors: Acuti Diletta , Grazzini Laura , Mazzoli Valentina , Aiello Gaetano 
Published: November 2018

AbstractThe purpose of this research is to investigate how the green image of a city can affect potential visitors' attitude toward the city in the context of user‐generated content. The study adopts a 2 × 2 experimental design in which the greenness of the city image and the social distance between the users and the authors of social media content are examined. The results demonstrate that green image has a significant effect on attitudes toward cities. Moreover, the effects of social media content vary according to the perceived social distance between the author of the post and potential visitors. This study contributes to the literature by assessing the role that social media content plays in place branding and communication. Furthermore, it provides relevant insights on how institutions should enhance the sustainable resources of cities with their environmental policy and encourage the generation of content from various stakeholders to contribute to the development of a city's image.
Metal Nanoclusters: New Paradigm in Catalysis for Water Splitting, Solar and Chemical Energy Conversion
Authors: Munir Akhtar , Joya Khurram Saleem , Ul haq Tanveer , Babar Noor‐Ul‐Ain , Hussain Syed Zajif , Qurashi Ahsanulhaq , Ullah Najeeb , Hussain Irshad 
Published: November 2018

AbstractA sustainable future demands innovative breakthroughs in science and technology today, especially in the energy sector. Earth‐abundant resources can be explored and used to develop renewable and sustainable resources of energy to meet the ever‐increasing global energy demand. Efficient solar‐powered conversion systems exploiting inexpensive and robust catalytic materials for the photo‐ and photo‐electro‐catalytic water splitting, photovoltaic cells, fuel cells, and usage of waste products (such as CO2) as chemical fuels are appealing solutions. Many electrocatalysts and nanomaterials have been extensively studied in this regard. Low overpotentials, catalytic stability, and accessibility remain major challenges. Metal nanoclusters (NCs, ≤3 nm) with dimensions between molecule and nanoparticles (NPs) are innovative materials in catalysis. They behave like a “superatom” with exciting size‐ and facet‐dependent properties and dynamic intrinsic characteristics. Being an emerging field in recent scientific endeavors, metal NCs are believed to replace the natural photosystem II for the generation of green electrons in a viable way to facilitate the challenging catalytic processes in energy‐conversion schemes. This Review aims to discuss metal NCs in terms of their unique physicochemical properties, possible synthetic approaches by wet chemistry, and various applications (mostly recent advances in the electrochemical and photo‐electrochemical water splitting cycle and the oxygen reduction reaction in fuel cells). Moreover, the significant role that MNCs play in dye‐sensitized solar cells and nanoarrays as a light‐harvesting antenna, the electrochemical reduction of CO2 into fuels, and concluding remarks about the present and future perspectives of MNCs in the frontiers of surface science are also critically reviewed.