bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nitridophosphate – eine Erfolgsgeschichte der Nitridsynthese
Authors: Kloß Simon D. , Schnick Wolfgang 
Published: November 2018

AbstractNitridophosphate und Phosphornitride sind außerordentlich gut untersuchte Nitrid‐Verbindungen, deren Synthesemethoden sich, angefangen bei der Kondensation molekularer Vorläuferverbindungen bei moderaten Temperaturen und Umgebungsdruck, zu den heutzutage gängigen Hochtemperatur‐ und Hochdrucksynthesen weiterentwickelt haben. Seit Beginn der systematischen Forschung an Nitridophosphaten vor 30 Jahren hat diese Methodenentwicklung zu einer großen Element‐ und Strukturvielfalt geführt. In diesem Kurzaufsatz berichten wir über die Fortschritte der Nitridophosphat‐Synthese, insbesondere im Hinblick auf das allseits präsente Problem bei Nitriden: die Oxidationsanfälligkeit von Nitridionen.
Autonomic Behaviors in Lipase‐Active Oil Droplets
Authors: Wang Lei , Lin Youping , Zhou Yuting , Xie Hui , Song Jianmin , Li Mei , Huang Yudong , Huang Xin , Mann Stephen 
Published: November 2018

AbstractDeveloping self‐fueled micro‐reactor droplets with programmable autonomic behaviors provides a step towards smart liquid dispersions comprising motile microscale objects. Herein, we prepare aqueous suspensions of lipase‐coated oil globules comprising a mixture of a triglyceride substrate (tributyrin, 1,2,3‐tributylglycerol) and a low‐density oil (polydimethylsiloxane, PDMS) and describe a range of active behaviors based on controlled enzyme‐mediated consumption of individual droplets under non‐equilibrium conditions. Encapsulation of the lipase‐coated lipid/PDMS droplets into a model protocell as energy‐rich sub‐compartments is demonstrated as an internalized mechanism for activating protocell buoyancy. Taken together, our results highlight opportunities for the regulation of autonomic behavior in enzyme‐powered oil droplets and provide a new platform for increasing the functionality and energization of synthetic protocells.
Formation and Reactivity of an Aluminabenzene Ligand at Pentadienyl‐Supported Rare‐Earth Metals
Authors: Barisic Damir , Schneider David , Maichle‐Mössmer Cäcilia , Anwander Reiner 
Published: November 2018

AbstractThe half‐open rare‐earth‐metal aluminabenzene complexes [(1‐Me‐3,5‐tBu2‐C5H3Al)(μ‐Me)Ln(2,4‐dtbp)] (Ln=Y, Lu) are accessible via a salt metathesis reaction employing Ln(AlMe4)3 and K(2,4‐dtbp). Treatment of the yttrium complex with B(C6F5)3 and tBuCCH gives access to the pentafluorophenylalane complex [{1‐(C6F5)‐3,5‐tBu2‐C5H3Al}{μ‐C6F5}Y{2,4‐dtbp}] and the mixed vinyl acetylide complex [(2,4‐dtbp)Y(μ‐η1:η3‐2,4‐tBu2‐C5H4)(μ‐CCtBu)AlMe2], respectively.
Taming Radical Intermediates for the Construction of Enantioenriched Trifluoromethylated Quaternary Carbon Centers
Authors: Calvo Roxan , Comas‐Vives Aleix , Togni Antonio , Katayev Dmitry 
Published: November 2018

AbstractDemonstrated herein is the construction of trifluoromethylated quaternary carbon centers by an asymmetric radical transformation. Enantioenriched trifluoromethylated oxindoles were accessed using a hypervalent iodine‐based trifluoromethyl transfer reagent in combination with a magnesium Lewis acid catalyst and PyBOX‐type ligands to achieve up to 99 % ee and excellent chemical yields. Mechanistic studies were performed by experimental and computational methods and suggest a single‐electron transfer induced SN2‐type mechanism. This example is thereby the first report on the construction of enantioenriched trifluoromethylated carbon centers using hypervalent iodine‐based reagents proceeding through such a reaction pathway.
Potential of RNA interference in the study and management of the whitefly, Bemisia tabaci
Authors: Grover Sajjan , Jindal Vikas , Banta Geetika , Taning Clauvis Nji Tizi , Smagghe Guy , Christiaens Olivier 
Published: November 2018

AbstractWhiteflies cause considerable losses to crops, directly by feeding, and indirectly by transmission of viruses. The current control methods consist of a combination of different control tactics, mainly still relying on unsafe and non‐ecofriendly chemical control. RNA interference (RNAi) is a post‐transcriptional gene‐silencing strategy in which double‐stranded RNA (dsRNA), corresponding specifically to a target gene, is introduced in a target organism. Research on RNAi in the previous decade has shown its success as a potential insect control strategy, which can be highly species‐specific and environment friendly. In whiteflies, the success of dsRNA delivery through the oral route opened possibilities for its management through plant‐mediated RNAi. To date, several genes have been targeted in whiteflies through RNAi and these assays demonstrated its potential to manage whiteflies at lab level. However, further research and investments are needed to move toward an application at field level. In this review, for the first time, we collected the literature on genes targeted for silencing via RNAi in whiteflies and discuss the potential of RNAi in whitefly pest control. We also discuss likely delivery methods, including transgenic in planta delivery and symbiont‐mediated delivery, and its potential for studying and interfering with insecticide resistance mechanisms and virus transmission by whiteflies.
Protein–protein interaction network analysis of insecticide resistance molecular mechanism in Drosophila melanogaster
Authors: Zhang GuiLu , Zhang WenJun 
Published: November 2018

AbstractThe problem of resistance has not been solved fundamentally at present, because the development speed of new insecticides can not keep pace with the development speed of resistance, and the lack of understanding of molecular mechanism of resistance. Here we collected seed genes and their interacting proteins involved in insecticide resistance molecular mechanism in Drosophila melanogaster by literature mining and the String database. We identified a total of 528 proteins and 13514 protein–protein interactions. The protein interaction network was constructed by String and Pajek, and we analyzed the topological properties, such as degree centrality and eigenvector centrality. Proteasome complexes and drug metabolism—cytochrome P450 were an enrichment by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. This is the first time to explore the insecticide resistance molecular mechanism of D. melanogaster by the methods and tools of network biology, it can provide the bioinformatic foundation for further understanding the mechanisms of insecticide resistance.
Sustainability reporting and stakeholder engagement inSpain: Different instruments, different quality
Authors: Romero Silvia , Ruiz Silvia , Fernandez‐Feijoo Belen 
Published: November 2018

AbstractThe purpose of this paper is to compare the quality of the sustainability information issued following the three most common reporting models: annual report (addressed to shareholders), sustainability report (addressed to stakeholders), and integrated report (addressed to shareholders). To this aim, we create a quality index based on previous literature, analyzing the content of the sustainability information disclosed by Spanish listed companies during the years 2013 to 2015. We find that companies issuing sustainability reports or integrated reports provide higher quality information than companies including their sustainability information within the annual report. We also find that sustainability reports are issued with higher quality than integrated reports. Both findings indicate that companies in Spain are engaged in a dialogue with all stakeholders, not only shareholders. Our results offer insights on the need to improve the framework of the integrated report in order to achieve the objectives of the International Integrated Reporting Council and to get a speed up in the adoption of this new reporting tool.
The relationship between psychotherapy practice and research: A mixed‐methods exploration of practitioners’ views
Authors: Bager‐Charleson Sofie , McBeath Alistair , Plock Simon Du 
Published: November 2018

AbstractBackgroundReferences are frequently made to a strained relationship between therapeutic practice and research. This study has developed in response this critique.AimsThis study aims to explore therapists’ views on the relationship between research and clinical practice, guided by some of the following questions; What sort of relationship do therapists feel that they have with research? What amount of formal research training do therapists have? To what extent do therapists feel that their own research is valued? To what extent does research inform therapists’ clinical practice?MethodologyThe study is anchored in mixed‐methods framework (Hesse‐Biber, 2010; Priest, 2013) drawing from a survey (n = 92) distributed within and outside the UK and coupled with interviews (n = 9) approached within a narrative thematic framework.FindingsBoth the survey and interviews suggested a sense of “homelessness” for researchers in the field of therapy. Obstacles were referred to within and outside the therapeutic community. Some referred to little training, and many felt unsupported among colleagues and employers when pursuing research. One therapist said “The scientists and researchers I work with; they know they have a career in research – you get rewarded and promoted. That kind of recognition doesn't exist in therapy.”ImplicationsTo meet the increased requirements of research‐supported practice, the study suggests that more systematic efforts are required to support psychotherapists’ engagement in research activities.
Taking stock of descriptive–interpretative qualitative psychotherapy research: Issues and observations from the front line
Authors: Timulak Ladislav , Elliott Robert 
Published: November 2018

AbstractThe paper offers a perspective on some of the methodological issues present in current qualitative psychotherapy research (QPR). The authors are involved in this type of research (for 20 and 40 years, respectively) as researchers, as reviewers of papers submitted to journals publishing QPR, as well as past editors of such journals. The authors reflect at how the overall field of psychotherapy research has had an influence on how QPR is conducted. The authors further discuss a wide range of issues pertaining to QPR that often bring confusion in the community of psychotherapy researchers. These include: brand naming largely overlapping qualitative methods; epistemological confusion arising from the context and application of these methods; issues of data collection and the range of types of qualitative data; the confounding of investigative questions or aims with findings; the issue of interpretative frameworks in data analysis; strategies by which findings are generated; difficulties in assessing the representativeness of findings to the target sample; issues of generalisability of findings; and possibilities for developing cumulative knowledge across studies. The paper specifically focuses on those genres of qualitative research that have a descriptive–interpretative character, typically represented by brand‐name approaches such as empirical phenomenology, hermeneutics, interpretative phenomenological analysis, consensual qualitative research, grounded theory and thematic analysis, etc.
The histone deacetylase inhibitor panobinostat exerts anticancer effects on esophageal squamous cell carcinoma cells by inducing cell cycle arrest
Authors: Cheng Yin‐Wei , Liao Lian‐Di , Yang Qian , Chen Yang , Nie Ping‐Juan , Zhang Xiao‐Jun , Xie Jian‐Jun , Shan Bao‐En , Zhao Lian‐Mei , Xu Li‐Yan , Li En‐Min 
Published: November 2018

Esophageal squamous cell carcinoma (ESCC) is a common malignancy without effective therapy. Histone deacetylase inhibitors (HDACIs) have been demonstrated as an emerging class of anticancer drugs for a range of haematological and solid tumours. However, the effect of HDACIs has not yet been investigated on ESCC cells. In this study, HDACIs were initially considered to have anticancer activity for ESCC, due to the high expression of HDAC genes in ESCC cell lines by analysing expression data of 27 ESCC cell lines from the Broad‐Novartis Cancer Cell Line Encyclopedia. Next, we used five ESCC cell lines and one normal immortalized esophageal epithelial cell line to screen three HDACIs, panobinostat (LBH589), vorinostat (SAHA), and trichostatin A (TSA), for the ability to inhibit growth. Here, we report that LBH589 more effectively suppressed cell proliferation of ESCC cell lines, in a dose‐dependent manner, than TSA and SAHA, as well as had lower toxicity against the SHEE normal immortalized esophageal epithelial cell line. Further experiments indicated that LBH589 treatment significantly inhibited TP53 (mutated TP53) expression, both at the mRNA and protein level, and simultaneously increased p21 and decreased cyclin D1 expression. Taken together, we propose that LBH589 inhibits ESCC cell proliferation mainly through inducing cell cycle arrest by increasing p21 and decreasing cyclin D1 in a p53‐independent manner.Significance of the studyIn this study, the antitumor activity of HDACIs LBH589, SAHA, and TSA on ESCC was characterized, with LBH589 displaying the most potent anti‐proliferative activity while not harming normal immortalized esophageal epithelial cells. Furthermore, we propose that LBH589 exerts its anti‐proliferative effect by inducing cell cycle arrest. The ability to specifically target cancer cells indicates therapeutic potential for use of LBH589 in the treatment of ESCC.
Hollow‐Co3O4@Co3O4@SiO2 Multi‐Yolk‐Double‐Shell Nanoreactors for Highly Efficient CO Oxidation
Authors: Wang Yajing , Chen Zhijie , Fang Ruiqi , Li Yingwei 
Published: November 2018

AbstractThe engineering of highly active, stable, and inexpensive catalysts for CO oxidation reaction through the modulations of morphology and structure is desirable but remains a great challenge. Herein, we reported the rational design of novel hollow‐Co3O4@Co3O4@SiO2 multi‐yolk‐double‐shell nanoreactors by using a two‐step annealing recipe employing core‐shelled ZIF‐67@SiO2 as a precursor. The unique structures of the multi‐yolk‐double‐shell and hollow interior of Co3O4 endowed the materials with promising properties of sufficient active interfacial sites, porous structures, efficient oxygen delivery capacity, and more oxygen vacancies, which were beneficial for CO oxidation. Consequently, the H−Co3O4@Co3O4@SiO2(35)‐250 nanoreactor exhibited outstanding catalytic performance, achieving complete CO conversion at 100 °C, which was far exceeding that of hollow Co3O4 NPs derived from pure ZIF‐67 and also solid Co3O4@SiO2(35)‐250 with a complete conversion of CO at 190 and 230 °C, respectively, and even outperformed most of the reported Co3O4‐based catalysts. Moreover, H−Co3O4@Co3O4@SiO2(35)‐250 could continuously work for 28 h without any deactivation and maintain 93 % CO conversion within 34 h at 100 °C. The proposed strategy of designing and fabricating novel structures offers great opportunities in developing highly active hollow metal oxide‐based nanoreactors for a variety of advanced applications.
One‐Pot Production of Natural 2‐Phenylethanol from L‐Phenylalanine via Cascade Biotransformations
Authors: Lukito Benedict Ryan , Wu Shuke , Saw Heng Jie Jonathan , Li Zhi 
Published: November 2018

Abstract2‐Phenylethanol (2‐PE) is an aroma compound with a rose‐like odors widely used as food ingredient, and natural 2‐PE is much preferred for the application with high selling price but limited availability. Bioproduction of 2‐PE from bioresources could provide a green, sustainable, and economic process to manufacture natural 2‐PE. Here we report a novel artificial cascade biotransformation to convert bioderived L‐phenylalanine (L‐Phe) to natural 2‐PE via deamination, decarboxylation, epoxidation, isomerization, and reduction in one pot. Recombinant E. coli strains co‐expressing the 5 necessary enzymes were engineered by using double plasmids, modular approach, and random combination as highly active, easily available, and recyclable biocatalysts. Two‐phase biotransformation with E. coli (RE) cells using biodiesel, a green and easily available solvent for in situ product extraction to minimize the inhibition, significantly improved product concentration and yield, converting 80 mM of L‐Phe to 71 mM (8.8 g/L, 89 % yield) of 2‐PE. The inhibition of 2‐PE was also reduced through in‐situ product adsorption using XAD4 resins. Using XAD4‐biodiesel‐aqueous buffer 3‐phase system could further enhance the concentration of 2‐PE to 85 mM (10.4 g/L, 85 % yield). The developed artificial cascade biotransformation of L‐Phe to 2‐PE is much better than other reported bioproductions of 2‐PE and provides high‐yielding, sustainable, and potentially practical synthesis of high‐value natural 2‐PE.
Direct Oxidation of Csp3−H bonds using in Situ Generated Trifluoromethylated Dioxirane in Flow
Authors: Lesieur Mathieu , Battilocchio Claudio , Labes Ricardo , Jacq Jérôme , Genicot Christophe , Ley Steven V. , Pasau Patrick 
Published: November 2018

AbstractA fast, scalable, and safer Csp3−H oxidation of activated and un‐activated aliphatic chains can be enabled by methyl(trifluoromethyl)dioxirane (TFDO). The continuous flow platform allows the in situ generation of TFDO gas and its rapid reactivity toward tertiary and benzylic Csp3−H bonds. The process exhibits a broad scope and good functional group compatibility (28 examples, 8–99 %). The scalability of this methodology is demonstrated on 2.5 g scale oxidation of adamantane.
Predictive assessment of copula models
Authors: Acar Elif F. , Azimaee Parisa , Hoque Md. Erfanul 
Published: November 2018

AbstractCopulas are powerful explanatory tools for studying dependence patterns in multivariate data. While the primary use of copula models is in multivariate dependence modelling, they also offer predictive value for regression analysis. This article investigates the utility of copula models for model‐based predictions from two angles. We assess whether, where, and by how much various copula models differ in their predictions of a conditional mean and conditional quantiles. From a model selection perspective, we then evaluate the predictive discrepancy between copula models using in‐sample and out‐of‐sample predictions both in bivariate and higher‐dimensional settings. Our findings suggest that some copula models are more difficult to distinguish in terms of their overall predictive power than others, and depending on the quantity of interest, the differences in predictions can be detected only in some targeted regions. The situations where copula‐based regression approaches would be advantageous over traditional ones are discussed using simulated and real data. The Canadian Journal of Statistics 47: 8–26; 2019 © 2018 Statistical Society of Canada
Color evolution during a coating process of pharmaceutical tablet cores by random spraying
Authors: Murillo Mac Arturo , Rodríguez‐Pulido Francisco J. , Heredia Francisco J. , Melgosa Manuel , Pacheco Jorge , Vargas Ronny , Montero Ernesto , Gutiérrez Dionisio 
Published: November 2018

AbstractPlacebo white tablet cores (lactose anhydrous [47.6%], corn starch [23.8%], microcrystalline cellulose [19.1%], polyvinylpyrrolidone [7.9%], magnesium stearate [0.8%], and talcum powder [0.8%]) were coated with a colorant (hydroxypropyl methylcellulose [8% w/v], titanium dioxide [0.2% w/v], FD&C yellow No. 6 with aluminum lacquer [0.8% w/v], polyethylene glycol 4000 [0.4% w/v], and purified water [q.s.p. 100 mL]) using a random spraying method during 130 minutes. During the coating process, batches of 21 samples were extracted every 10 minutes and measured with a DigiEye imaging system. The initial cores showed very similar and uniform colors (Mean Color Difference from the Mean [MCDM] of 0.8 CIELAB units), but partially coated tablets showed lower uniformity (MCDM below 2.0 CIELAB units). There was a high color variability (MCDM about 4.0 CIELAB units) among tablets of the same batch in the period between 10 and 30 minutes, which decreased as the coating process progressed, until achieving a final acceptable value (MCDM below 2.0 CIELAB units). During the coating process, L* decreased, C*ab strongly increased, and h
ab remained nearly constant (disregarding results at 0 and 10 minutes). CIELAB and CIEDE2000 color differences (mainly chroma differences) with respect to the initial color of the tablets were modeled as a function of time by exponential functions with three coefficients. The color change in the interval from 90 to 130 minutes (4.3 CIELAB units, or 2.6 CIEDE2000 units), may be considered negligible bearing in mind the color variability in the batches of 21 samples and typical values of visual color thresholds.
MapReduce‐based storage and indexing for big health data
Authors: N.R. Gayathiri , A.M. Natarajan 
Published: November 2018

SummaryLocality Sensitive Hashing (LSH) uses randomized method to alleviate Nearest Neighbor Search issue in high dimensional spaces. However, handling of big dataset samples for LSH algorithm becomes difficult task because of computational complexity. So, the major aim of this work is to introduce a new LSH algorithm with Hadoop MapReduce framework for enhancing proficiency of arbitrary reads over big dataset samples. The proposed Hash index improves efficiency by reducing the amount of accessing data for range queries by creating buckets based on hyperplanes. A LSH on MapReduce is developed, which decreases the random data access time among map and reduce functions, in addition, it enhances proficiency. Lastly, with the aim of validating the performance of presented index for search query in MapReduce, five performance metrics such as changing cluster size, LSH for Bucket size Balancing, the overlapped boundary of a hyperplane, Bucket creation based on the configured capacity, and non‐indexed, Hash index, and global indexed dataset on the HDFS configured capacity are utilized. The effect of these metrics on dataset on the HDFS configured capacity for the period of map and reduce functions as well depicts the pre‐eminence of the presented Hash index.
Dynamics of interval Cohen‐Grossberg neural networks with time‐varying delays based on LMI computation
Authors: Tan Manchun , Song Zhiqiang , Liu Yunfeng , Li Zhong 
Published: November 2018

SummaryThe problem of the global robust exponential stability of delayed interval Cohen‐Grossberg neural networks is considered. By constructing suitable Lyapunov functional and using the linear matrix inequality (LMI) technique, some sufficient conditions are derived to ensure the existence, uniqueness and robust exponential stability of the equilibrium point. Based on LMI computation, numerical examples are employed to show that the new results are less restrictive and less conservative than some existing results in the literature.
Manual versus automated qualitative usability assessment of interactive systems
Authors: Sagar Kalpna , Gupta Deepak , Sangaiah Arun K. 
Published: November 2018

SummaryThe purpose of this paper is to compare the end results generated after usability assessment by two different ways. The assessment of top‐fifty academic websites is done by employing the tool and by involving end‐users. This research work is performed to assess latest heuristic guidelines for academic websites under three different categories i.e. {Social Media, Mobile and Security} by involving a hundred end‐users as well as by evaluating the websites using the tool. Association rule is implemented on the collected qualitative data to recognize common usability problem patterns pertaining to academic websites but from two uncommon perspectives. This study further compares these problematic patterns to provide more comprehensive analysis. Our findings investigate that most of the usability problems have been uncovered by the end‐users on academic websites that are not detected by tool. In other words, there are several key features that these tools are failed to evaluate. On the contrary, end‐users can help in evaluating these features and uncover remarkable usability problematic issues on any interactive system.