bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self‐Assembly of Heterogeneously Shaped Nanoparticles into Plasmonic Metamolecules on DNA Origami
Authors: Liu Wenyan , Li Ling , Yang Shuo , Gao Jie , Wang Risheng 
Published: August 2017

AbstractFabrication of plasmonic metamolecules (PMs) with rationally designed complexity is one of the major goals of nanotechnology. Most self‐assembled PMs, however, have been constructed using single‐component systems. The corresponding plasmonic assemblies still suffer from the lack of complexity, which is required to achieve a high degree of functionality. Here, we report a general applicable strategy that can realize a series of high‐ordered hetero‐PMs using bottom‐up DNA self‐assembly. DNA‐functionalized differently shaped nanoparticles were deliberately arranged in prescribed positions on 3D triangular DNA origami frames to form various hetero‐PMs. Importantly, we showed that the optical properties of assembled PMs could be facially tuned by selectively regulating the position of each component. This method provides a promising pathway for manufacturing more complex and advanced materials by integrating diverse nanocomponents with particular properties.
C−H Cyanation of 6‐Ring N‐Containing Heteroaromatics
Authors: Elbert Bryony L. , Farley Alistair J. M. , Gorman Timothy W. , Johnson Tarn C. , Genicot Christophe , Lallemand Bénédicte , Pasau Patrick , Flasz Jakub , Castro José L. , MacCoss Malcolm , Paton Robert S. , Schofield Christopher J. , Smith Martin D. , Willis Michael C. , Dixon Darren J. 
Published: August 2017

AbstractHeteroaromatic nitriles are important compounds in drug discovery, both for their prevalence in the clinic and due to the diverse range of transformations they can undergo. As such, efficient and reliable methods to access them have the potential for far‐reaching impact across synthetic chemistry and the biomedical sciences. Herein, we report an approach to heteroaromatic C−H cyanation through triflic anhydride activation, nucleophilic addition of cyanide, followed by elimination of trifluoromethanesulfinate to regenerate the cyanated heteroaromatic ring. This one‐pot protocol is simple to perform, is applicable to a broad range of decorated 6‐ring N‐containing heterocycles, and has been shown to be suitable for late‐stage functionalization of complex drug‐like architectures.
Enantioselective resolution of 4‐chloromandelic acid by liquid–liquid extraction using 2‐chloro‐N‐carbobenzyloxy‐L‐amino acid
Authors: Lu Ruichen , He Quan , Feng Cai , Peng Yangfeng 
Published: August 2017

AbstractA liquid–liquid extraction resolution of 4‐chloro‐mandelic acid (4‐ClMA) was studied by using 2‐chloro‐N‐carbobenzyloxy‐L‐amino acid (2‐Cl‐Z‐AA) as a chiral extractant. Important factors affecting the extraction efficiency were investigated, including the type of chiral extractant, pH value of aqueous phase, initial concentration of chiral extractant in organic phase, initial concentration of 4‐ClMA in aqueous phase, and resolution temperature. It was observed that the concentration of (R)‐4‐ClMA was much higher than that of (S)‐4‐ClMA in organic phase due to a higher stability of the complex formed between (R)‐4‐ClMA and 2‐Cl‐Z‐AA. A separation factor (α) of 3.05 was obtained at 0.02 mol/L 2‐Cl‐Z‐Valine dissolved in dichloromethane, pH of 2.0, concentration of 4‐ClMA of 0.11 mmol/Land T of 296.7K.
Integrated Dynamic Optimization and Scheduling of Polymerization Processes with First Principle Models
Authors: Nie Yisu , Biegler Lorenz T. 
Published: August 2017

AbstractAn integrated dynamic optimization strategy is presented for block copolymerization processes. First the reactor model, which has unstable modes and may lead to unbounded profiles under certain design and operating conditions, is derived. Second, optimal recipes for operating of the copolymerization process are determined. Finally, an optimization strategy for the integration of scheduling and dynamic process operation for general continuous/batch processes is considered. The resulting approach leads to significant improvements in productivity, while maintaining safe operation and satisfaction of product specifications.
Comprehensive multi‐objective model to remote sensing data processing task scheduling problem
Authors: Xing Lining , Li Wen , He Minfan , Tan Xu 
Published: August 2017

SummaryScientific scheduling of limited resource plays an important role in the remote sensing data processing. The remote sensing data processing task scheduling is characterized as one novel comprehensive multi‐objective model. In this proposed model, the remote sensing data processing task scheduling problem is divided into task dispensation and task scheduling sub‐problem with hundreds of variables being considered in it. In order to effectively solve this problem, Bayes belief model is applied to generate the initial dispensation plan, and learnable ant colony optimization is proposed to solve task scheduling sub‐problem. Experimental results suggest that the proposed comprehensive multi‐objective model and its solving methods are feasible and efficient to remote sensing data processing task scheduling, and it also promotes processing centers interoperability among heterogeneous and dispersed processing center. The model and the method of this paper can provide a valuable reference for solving other complex scheduling problem.
Modeling analysis of Intelligent Manufacturing System based on SDN
Authors: Bai Yun 
Published: August 2017

SummaryIntelligent Manufacturing contains software composed fundamentally of computing, storage, and networking resources. Software‐defined network (SDN) is a new architecture of network. The separation of network control plane and network data forwarding plane and the realization of programmable control is the design concept of SDN. This paper analyzes the characteristics and meaning of intelligent manufacturing systems, which leads to problems facing the Intelligent Manufacturing System, and then dispersing the benefits of SDN. This made the combination of intelligent manufacturing systems SDN concept model. The article makes a deep research on Intelligent Manufacturing from the aspects of technical connotation, equipment model, etc.
Linguistic techniques for cryptographic data sharing algorithms
Authors: Ogiela Urszula , Ogiela Lidia 
Published: August 2017

SummaryThis publication presents algorithms for protecting data from unauthorised access to it. A special role among information protection algorithms is played by algorithms of data splitting and sharing which allow the information to be distributed within a selected group of secret trustees. This paper describes protocols of the above type and also suggests a way of using the proposed solutions for linguistic information sharing. Linguistic message–sharing algorithms are described as a class of protocols for protecting data with its possible semantic interpretation. This is because the semantic analysis allows the content‐based interpretation of various information sets. The proposed methods are very useful from different points of view. Authors would like to present one possible application which is cognitive service management and data‐sharing systems applied for cloud computing.
Sensitive Photoacoustic IR Spectroscopy for the Characterization of Amino/Azido Mixed‐Linker Metal–Organic Frameworks
Authors: Canivet Jerome , Lysenko Vladimir , Lehtinen Jaakko , Legrand Alexandre , Wisser Florian M. , Quadrelli Elsje Alessandra , Farrusseng David 
Published: August 2017

AbstractPhotoacoustic Fourier‐transform infrared spectroscopy makes it possible to determine the organic composition of mixed‐linker metal–organic frameworks. The sound produced upon IR irradiation enables the discrimination of azido and amino linkers in three different MOF platforms with a sensitivity that is two orders of magnitude higher than that achieved using classic IR analysis.
Reducing the time until psychotherapy initiation reduces sick leave duration in participants diagnosed with anxiety and mood disorders
Authors: Alonso Sandra , Marco José H. , Andani Joaquín 
Published: August 2017

AbstractBackgroundSick leave in patients with a mental disorder is characterized by having a long duration. Studies suggest that the time until a patient on sick leave for a common mental health disorder initiates evaluation and treatment by a healthcare professional is an important factor in the duration of the sick leave. However, in these studies, the intervention was not performed by a mental health specialist. The aim of this study was to find out whether the length of sick leave was associated with the time before initiating psychotherapy, age, time until returning to work after psychotherapy ends, and duration of psychotherapy. In a further analysis, we examined whether the model composed of age, duration of psychotherapy, and time before initiating psychotherapy predicted the length of sick leave.MethodThe sample consisted of 2,423 participants, 64.1% (n = 1,554) women and 35.9% (n = 869) men, who were on sick leave for anxiety disorders or depressive disorder.ResultsThe total duration of the sick leave of participants diagnosed with depression and anxiety was positively associated with the time before beginning psychotherapy. Time before beginning psychotherapy predicted the length of sick leave when the variables age and duration of psychotherapy were controlled.ConclusionIt is necessary to reduce the time until beginning psychotherapy in people on sick leave for common mental disorders.
Cytological markers for predicting ALK‐positive pulmonary adenocarcinoma
Authors: Miyata K. , Morita S. , Dejima H. , Seki N. , Matsutani N. , Mieno M. , Kondo F. , Soejima Y. , Tanaka F. , Sawabe M. 
Published: August 2017

BackgroundALK gene rearrangement is an important class of gene mutations in pulmonary adenocarcinoma. ALK‐positive pulmonary adenocarcinoma exhibits characteristic histological features, such as signet ring cell carcinoma (SRCC) and a mucinous cribriform structure. However, when insufficient histological specimens are obtained, ALK‐positivity must be predicted based on cytological features. The purpose of this study was to clarify the cytological characteristics of ALK‐positive pulmonary adenocarcinoma.MethodsWe compared the cytological findings of 16 ALK‐positive cases with 40 ALK‐negative cases. We examined various cytoplasmic features of SRCC, including the presence of pink, yellow, or orange mucin; green, vacuolar, or vesicular cytoplasm; and green globular cytoplasmic secretions. We also examined whether the SRCC cells exhibited a pattern of individually scattered cells, the formation of cell clusters, and formation of a mucinous cribriform pattern.ResultsA univariate analysis showed that significantly frequent cytological findings included pink mucin, green cytoplasm, vacuolar cytoplasm, vesicular cytoplasm, green globular cytoplasmic secretions, an individually scattered pattern, cluster formation, and a mucinous cribriform structure (all, P < .05). A stepwise multivariate logistic regression analysis identified three significant contributing factors: pink mucin (P = .03), vesicular cytoplasm (P = .06), and an individually scattered pattern (P = .01) of SRCC. If the specimens showed two or three of these features, the sensitivity and specificity were both 88% for the prediction of ALK‐positive cancers.ConclusionThree cytological features of SRCC (pink mucin, vesicular cytoplasm, and an individually scattered pattern) could be useful cytological markers for the prediction of ALK‐positive pulmonary adenocarcinoma.
An assessment of hair cortisol among postpartum Brazilian mothers and infants from a high‐risk community in São Paulo: Intra‐individual stability and association in mother–infant dyads
Authors: Liu Cindy H. , Fink Günther , Brentani Helena , Brentani Alexandra 
Published: August 2017

AbstractThis study examined maternal–infant synchrony of hair cortisol at 12 months after birth and the intra‐individual stability of maternal hair cortisol in the postpartum period. Participants were selected from an ongoing São Paulo birth cohort project, where families are considered to be “high‐risk” due to their chronic stress experiences, with the majority living in slums (favelas). Cortisol was collected through 3‐cm segments of hair samples, with values representing approximate levels of cortisol from 9 to 12 months for mothers and children and 6 to 12 months for mothers. Maternal and infant cortisol values reflecting chronic stress 9–12 months after birth were highly correlated (r = .61, p < .001); earlier maternal cortisol levels (6–9 months) and child cortisol levels at 9–12 months (r = .51, p < .001) were also correlated. Maternal cortisol values showed stability over time (r = .79, p < .001). These maternal–infant correlations are high compared to the existing literature on hair cortisol in other mother–child dyads, suggesting stronger synchrony under high‐risk contexts where families are faced with challenging circumstances.
Single and combined effects of inflammatory markers on 10 year diabetes incidence: The mediating role of adiposity—Results from the ATTICA cohort study
Authors: Koloverou Efi , Panagiotakos Demosthenes B. , Georgousopoulou Ekavi N. , Chrysohoou Christina , Tousoulis Dimitrios , Stefanadis Christodoulos , Pitsavos Christos ,   ATTICA Study Group
Published: August 2017

AbstractBackgroundThe role of inflammation in diabetes development is not fully elucidated. The aim of this work was to investigate the independent effect of individual inflammatory markers and combinations of them on diabetes incidence and the potential mediating role of obesity.MethodsIn 2001 to 2002, a random sample of 1514 men (18‐87 years old) and 1528 women (18‐89 years old) was selected to participate in the ATTICA study, where Athens is a major metropolis. Interleukin‐6 (IL‐6), C‐reactive protein (CRP), tumour necrosis factor‐alpha, serum amyloid alpha, fibrinogen, and homocysteine were measured. Covariates included various clinical, demographic, and lifestyle characteristics, assessed with standard procedures. In 2012, the 10 year follow‐up was performed. Diabetes diagnosis was defined according to American Diabetes Association criteria among n = 1485 participants.ResultsOne hundred ninety‐one incident cases of diabetes were documented, yielding an incidence of 12.9% (13.4% in men and 12.4% in women). After adjustments, only elevated IL‐6 increased by 2.2 times the 10 year diabetes risk (third vs first tertile, 95% CI: 1.13, 4.28). After investigating combinations of inflammatory markers, combined elevated levels of CRP and IL‐6 or CRP and fibrinogen (both markers ≥75th percentile vs <75th percentile) increased the risk by 1.93 times (95% CI: 1.20, 3.08) and 2.37 times (95% CI: 1.37, 4.16), respectively. Body mass index was found to significantly mediate the aggravating effect of inflammation.ConclusionsThe reported results underline the significant role of individual IL‐6 or combinations of CRP‐IL‐6 and CRP‐fibrinogen in diabetes prediction. Adiposity seems to be primarily responsible for an increase in inflammatory markers, leading through this mechanism to insulin resistance and increasing diabetes risk.
Intrinsic and adaptive myelination—A sequential mechanism for smart wiring in the brain
Authors: Bechler Marie E. , Swire Matthew , ffrench‐Constant Charles 
Published: August 2017

ABSTRACTThe concept of adaptive myelination—myelin plasticity regulated by activity—is an important advance for the field. What signals set up the adaptable pattern in the first place? Here we review work that demonstrates an intrinsic pathway within oligodendrocytes requiring only an axon‐shaped substrate to generate multilayered and compacted myelin sheaths of a physiological length. Based on this, we discuss a model we proposed in 2015 which argues that myelination has two phases—intrinsic and then adaptive—which together generate “smart wiring,” in which active axons become more myelinated. This model explains why prior studies have failed to identify a signal necessary for central nervous system myelination and argues that myelination, like synapses, might contribute to learning by the activity‐dependent modification of an initially hard‐wired pattern. © 2017 The Authors. Developmental Neurobiology Published by Wiley Periodicals, Inc. Develop Neurobiol 78: 68–79, 2018
AhR activation increases IL‐2 production by alloreactive CD4+ T cells initiating the differentiation of mucosal‐homing Tim3+Lag3+ Tr1 cells
Authors: Ehrlich Allison K. , Pennington Jamie M. , Tilton Susan , Wang Xisheng , Marshall Nikki B. , Rohlman Diana , Funatake Castle , Punj Sumit , O'Donnell Edmond , Yu Zhen , Kolluri Siva K. , Kerkvliet Nancy I. 
Published: August 2017

AbstractActivation of the aryl hydrocarbon receptor (AhR) by immunosuppressive ligands promotes the development of regulatory T (Treg) cells. Although AhR‐induced Foxp3+ Treg cells have been well studied, much less is known about the development and fate of AhR‐induced Type 1 Treg (AhR‐Tr1) cells. In the current study, we identified the unique transcriptional and functional changes in murine CD4+ T cells that accompany the differentiation of AhR‐Tr1 cells during the CD4+ T‐cell‐dependent phase of an allospecific cytotoxic T lymphocyte (allo‐CTL) response. AhR activation increased the expression of genes involved in T‐cell activation, immune regulation and chemotaxis, as well as a global downregulation of genes involved in cell cycling. Increased IL‐2 production was responsible for the early AhR‐Tr1 activation phenotype previously characterized as CD25+CTLA4+GITR+ on day 2. The AhR‐Tr1 phenotype was further defined by the coexpression of the immunoregulatory receptors Lag3 and Tim3 and non‐overlapping expression of CCR4 and CCR9. Consistent with the increased expression of CCR9, real‐time imaging showed enhanced migration of AhR‐Tr1 cells to the lamina propria of the small intestine and colon. The discovery of mucosal imprinting of AhR‐Tr1 cells provides an additional mechanism by which therapeutic AhR ligands can control immunopathology.
Chemical Composition and Antioxidant Capacities of Four Mediterranean Industrial Essential Oils and Their Resultant Distilled Solid By‐Products
Authors: Ortiz‐de Elguea‐Culebras Gonzalo , Berruga María I. , Santana‐Méridas Omar , Herraiz‐Peñalver David , Sánchez‐Vioque Raúl 
Published: August 2017

The aim of this work is to chemically characterize and evaluate the antioxidant capacities of the essential oils and their resulting solid residues of four aromatic plants from the industrial distillation, including hyssop (Hyssopus officinalis L.), lavandin (Lavandula x intermedia var. Super), cotton lavender (Santolina chamaecyparissus L.), and winter savory (Satureja montana L.). In general, the different in vitro antioxidant assays showed that both the oil and the industrial residue extract of S. montana followed by the residue of S. chamaecyparissus are the best antioxidants, whereas the solid residue extracts of S. chamaecyparissus and H. officinalis show the highest copper and iron chelating capacities, respectively. Therefore, distilled solid residues might well constitute a viable and profitable source of natural antioxidants with a potential application in food and non‐food products.Practical Applications: Solid residues from the industrial steam distillation of aromatic plants constitute an available and affordable source of phenolic compounds that can be used as natural and safe antioxidants, among others, in foodstuffs. Moreover, the exploitation of distilled plants constitutes a sustainable approach to reduce the residues generated every year from this industry, which results in environmental issues when they are not correctly managed.Essential oils and their resulting solid residues from the industrial distillation of hyssop (Hyssopus officinalis L.), lavandin (Lavandula x intermedia var. Super), cotton lavender (Santolina chamaecyparissus L.), and winter savory (Satureja montana L.) are potential sources of phenolic compounds that can be used as natural and safe antioxidants, among others, in foodstuffs.
Determination of electroosmotic and electrophoretic mobility of DNA and dyes in low ionic strength solutions
Authors: Lallman Joshua , Flaugh Rachel , Kounovsky‐Shafer Kristy L. 
Published: August 2017

AbstractNanocoding, a genome analysis platform, relies on very low ionic strength conditions to elongate DNA molecules up to 1.06 (fully stretched DNA = 1). Understanding how electroosmotic and electrophoretic forces vary, as ionic strength decreases, will enable better Nanocoding devices, or other genome analysis platforms, to be developed. Using gel electrophoresis to determine overall mobility (includes contributions from electrophoretic and electroosmotic forces) in different ionic strength conditions, linear DNA molecules (pUC19 (2.7 kb), pBR322 (4.4 kb), ΦX174 (5.4 kb), and PSNAPf‐H2B (6.2 kb)) were analyzed in varying gel concentrations (1.50, 1.25, 1.00, 0.75, and 0.50%). Additionally, buffer concentration (Tris‐EDTA, TE) was varied to determine free solution mobility at different ionic strength solutions. As ionic strength decreased from 13.8 to 7.3 mM, overall mobility increased. As TE buffer decreased (< 7.3 mM), overall mobility drastically decreased as ionic strength decreased. Rhodamine B dye was utilized to determine the electroosmotic mobility. As the ionic strength decreased, electroosmotic mobility increased. The experimental electrophoretic mobility was compared to theoretical considerations for electrophoretic mobility (Pitts and Debye‐Hückel‐Onsager). Electroosmotic forces decreased the overall mobility of DNA molecules and bromophenol blue migration in a gel matrix as ionic strength decreased.
Application of a simple headcut advance model for gullies
Authors: Allen Peter M. , Arnold Jeffrey G. , Auguste Lance , White Joseph , Dunbar John 
Published: August 2017

AbstractGully erosion begins in streambanks and uplands as a consequence of adjustments in driving forces on the landscape imposed by changes in land use or climate. The deleterious effects of gullies worldwide have led to many site‐specific studies of gully form and function. In the continental United States, gully erosion in agricultural land has destroyed valuable farmland yet, prediction of gully processes remains problematic on a national scale. This research has proposed a simple method to predict gully headcut advance. When combined with SWAT hydrologic flow routines, the model predicted gully headcut advance with reasonable accuracy on a daily time step for time periods exceeding two decades. The model was tested in two distinct land resource areas of the United States with differing climate, soils, cover and drainage. The inputs for the headcut model have been kept simple as the model will be applied over large areas. Model inputs consist of headcut height, headcut resistance (based on soil erodibility and a root‐cover factor), and daily flow. The model is compared with an annual time step model used in assessment of headcut advance and appears to offer a better way to assess gully headcut advance. Copyright © 2017 John Wiley & Sons, Ltd.